hack/tools/scripts/llm-key-hunter/results/_cache/content/blockcell-labs_blockcell.json

{"repo": "blockcell-labs/blockcell", "files": {"docs/en/02_quickstart.md": {"9a5ff122a3f913415d87b52bf73321403e8f202e": {"t": 1785674078.2776966, "n": 8862, "h": "bb0e8594dadbca1a", "c": "# Article 02: Get Started with blockcell in 5 Minutes — From Installation to Your First Chat\n\n> Series: *In-Depth Analysis of the Open Source Project “blockcell”* — Article 2\n---\n\n## Preface\n\nIn the previous article, we introduced what blockcell is. In this one, we’ll get hands-on and have it running within 5 minutes.\n\n**What you need:**\n- A macOS or Linux computer (Windows is also supported; this article uses macOS as the example)\n- An LLM API key (OpenAI, DeepSeek, Kimi are all fine — we’ll cover how to choose)\n\n---\n\n## The fastest 5-minute path (follow these steps)\n\nIf you only want the quickest successful run, do these 4 steps:\n\n1. Install: run the installer script\n2. Configure: `blockcell setup` (interactive wizard; creates config and validates it)\n3. Start: `blockcell agent` and send a test message\n4. Start: `blockcell gateway`, then open `http://127.0.0.1:18791` for the WebUI\n\nThe rest of this article goes deeper (provider choices, multi-agent layout, common commands, FAQ, deployment suggestions).\n\n---\n\n## Step 1: Install\n\n### Option A: One-line install script (recommended)\n\n```bash\ncurl -fsSL https://raw.githubusercontent.com/blockcell-labs/blockcell/refs/heads/main/install.sh | sh\n```\n\nAfter installation, the `blockcell` command will be available under `~/.local/bin/`. If your shell can’t find it, add that path to your `PATH`:\n\n```bash\necho 'export PATH=\"$HOME/.local/bin:$PATH\"' >> ~/.zshrc\nsource ~/.zshrc\n```\n\n### Option B: Build from source\n\nIf you want to compile it yourself (requires Rust 1.85+):\n\n```bash\ngit clone https://github.com/blockcell-labs/blockcell.git\ncd blockcell/blockcell\ncargo build --release\ncp target/release/blockcell ~/.local/bin/\n```\n\n### Verify installation\n\n```bash\nblockcell --version\n# blockcell 0.x.x\n```\n\n---\n\n## Step 2: Configure (the `setup` wizard is recommended)\n\n```bash\nblockcell setup\n```\n\nThis command will:\n1. Create the `~/.blockcell/` directory structure\n2. Let you choose an LLM provider\n3. Save the API key and model\n4. Optionally configure one external channel\n5. Validate the saved provider configuration\n6. Auto-bind a newly configured external channel to the `default` agent when no owner is set yet\n7. If you later want one account / bot on the same channel to use a different agent, add `channelAccountOwners.<channel>.<accountId>`\n\nThe directory structure looks like this:\n\n```\n~/.blockcell/\n├── config.json5          # Main config\n├── sessions/            # Session history for the default agent\n├── audit/               # Audit logs for the default agent\n├── workspace/           # Default agent workspace\n│   ├── memory/          # Memory database\n│   ├── skills/          # User-installed skills\n│   ├── media/           # Screenshots, audio, etc.\n└── agents/              # Non-default agents (created on demand)\n    └── ops/\n        ├── sessions/\n        ├── audit/\n        └── workspace/\n```\n\n`default` keeps using the root `~/.blockcell/` layout. Additional agents live under `~/.blockcell/agents/<ID>/`.\n\nIf you prefer the older manual flow, you can still run:\n\n```bash\nblockcell onboard\n```\n\n---\n\n## Step 3: Configure your API key\n\nIf you already completed `blockcell setup`, you can skip this step. Otherwise, open the config file:\n\n```bash\n# macOS\nopen ~/.blockcell/config.json5\n\n# Or use a terminal editor\nnano ~/.blockcell/config.json5\n```\n\nFind the `providers` section and fill in your API key.\n\n### Option A: DeepSeek (recommended for beginners)\n\n`blockcell setup --provider deepseek` currently defaults to `deepseek-v4-pro` and configures a 1M-token `maxContextTokens` value. You can still pass `--model deepseek-chat` explicitly if you want the older chat model.\n\n```json\n{\n  \"providers\": {\n    \"deepseek\": {\n      \"apiKey\": \"sk-your-deepseek-key\",\n      \"apiBase\": \"https://api.deepseek.com/v1\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"deepseek-v4-pro\",\n      \"provider\": \"deepseek\",\n      \"maxContextTokens\": 1048576,\n      \"reasoningEffort\": \"high\"\n    }\n  }\n}\n```\n\n### Option B: Kimi/Moonshot (stable access in China)\n\n```json\n{\n  \"providers\": {\n    \"kimi\": {\n      \"apiKey\": \"sk-your-kimi-key\",\n      \"apiBase\": \"https://api.moonshot.cn/v1\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"kimi-k2.6\"\n    }\n  }\n}\n```\n\n### Option C: OpenRouter (one key for many models)\n\n```json\n{\n  \"providers\": {\n    \"openrouter\": {\n      \"apiKey\": \"sk-or-your-openrouter-key\",\n      \"apiBase\": \"https://openrouter.ai/api/v1\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"anthropic/claude-opus-4-8\"\n    }\n  }\n}\n```\n\n### Option D: Ollama (fully local, free)\n\nIf you already have Ollama installed and pulled a model:\n\n```json\n{\n  \"providers\": {\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"ollama/qwen3.6\"\n    }\n  }\n}\n```\n\n---\n\n## Step 4: Check status\n\n```bash\nblockcell status\n```\n\nExample output:\n\n```\n✓ Config loaded\n✓ Provider: deepseek (deepseek-v4-pro)\n✓ Workspace: ~/.blockcell/workspace\n✓ Memory: SQLite (0 items)\n✓ Skills: 0 user skills, 44 builtin skills\n✓ Channels: none configured\n```\n\nIf you see a red ✗, the configuration has an issue — adjust it according to the hints.\n\n---\n\n## Step 5: Start chatting\n\n```bash\nblockcell agent\n```\n\nYou’ll see a welcome screen:\n\n```\n╔══════════════════════════════════════╗\n║         blockcell agent              ║\n║  Type /tasks to see background tasks ║\n║  Type /quit to exit                  ║\n╚══════════════════════════════════════╝\n\nYou:\n```\n\nNow you can start chatting.\n\n---\n\n## Try these commands\n\n### Basic chat\n\n```\nYou: Hi, introduce yourself\n```\n\n### Ask the AI to search the web\n\n```\nYou: Search for today’s AI-related news\n```\n\nThe AI will call `web_search` and then use `web_fetch` to retrieve content.\n\n### Read local files\n\n```\nYou: Read ~/Desktop/report.txt and summarize the key points\n```\n\n> ⚠️ Note: when reading files outside the working directory (`~/.blockcell/workspace`), blockcell will prompt for confirmation and you must type `y`. This is a safety mechanism.\n\n### Run commands\n\n```\nYou: Show me the files in the current directory\n```\n\nThe AI will call the `exec` tool to run `ls`.\n\n### Write a file\n\n```\nYou: Create hello.txt in the working directory with content \"Hello from blockcell\"\n```\n\n---\n\n## Common CLI commands\n\nBesides interactive `agent` mode, blockcell provides many useful commands:\n\n```bash\n# List all available tools\nblockcell tools\n\n# View/manage memory\nblockcell memory list\nblockcell memory search \"stock\"\n\n# View/manage skills\nblockcell skills list\n\n# List scheduled tasks\nblockcell cron list\n\n# Check channel status\nblockcell channels status\n\n# View evolution records\nblockcell evolve list\n\n# View alert rules\nblockcell alerts list\n\n# View real-time streams\nblockcell streams list\n\n# View knowledge graph\nblockcell knowledge stats\n\n# View logs\nblockcell logs\n\n# Self diagnostics\nblockcell doctor\n```\n\n---\n\n## Full config field overview\n\nKey fields in `~/.blockcell/config.json5`:\n\n```json\n{\n  \"providers\": {\n    \"openai\": {\n      \"apiKey\": \"sk-...\",\n      \"apiBase\": \"https://api.openai.com/v1\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"gpt-5.5\",\n      \"maxTokens\": 4096,\n      \"temperature\": 0.7\n    }\n  },\n  \"tools\": {\n    \"tickIntervalSecs\": 30\n  },\n  \"gateway\": {\n    \"host\": \"0.0.0.0\",\n    \"port\": 18790,\n    \"webuiPort\": 18791,\n    \"apiToken\": \"optional access token\"\n  },\n  \"channelOwners\": {\n    \"telegram\": \"default\"\n  },\n  \"channelAccountOwners\": {\n    \"telegram\": {\n      \"bot2\": \"ops\"\n    }\n  },\n  \"channels\": {\n    \"telegram\": {\n      \"enabled\": true,\n      \"token\": \"your bot token\",\n      \"allowFrom\": [\"your user id\"]\n    }\n  }\n}\n```\n\n---\n\n## Running into issues?\n\n### Issue 1: Command not found\n\n```bash\nwhich blockcell\n# If there’s no output, your PATH is not configured correctly\necho 'export PATH=\"$HOME/.local/bin:$PATH\"' >> ~/.zshrc && source ~/.zshrc\n```\n\n### Issue 2: API calls fail\n\n```bash\nblockcell doctor\n# Checks network connectivity and API configuration\n```\n\n### Issue 3: Want to switch models\n\nEdit `agents.defaults.model` in `config.json5`, then restart `blockcell agent`.\n\n### Issue 4: Want to see which tools the AI used\n\nIn the chat, blockcell shows the tool name and parameters for each tool call. For more detailed logs:\n\n```bash\nblockcell logs --tail 50\n```\n\n---\n\n## Summary\n\nAt this point you have:\n- ✅ Installed blockcell\n- ✅ Configured an API key\n- ✅ Started your first chat\n- ✅ Learned the basic commands\n\nNext, we’ll dive into blockcell’s tool system — the heart of making AI actually “do work” with 50+ built-in tools.\n\n---\n\n*Previous: [What is blockcell? A self-evolving AI agent framework](./01_what_is_blockcell.md)*\n*Next: [blockcell’s tool system — enabling AI to really execute tasks](./03_tools_system.md)*\n\n*Repo: https://github.com/blockcell-labs/blockcell*\n*Website: https://blockcell.dev*\n"}}, "docs/18_proxy_and_provider_config.md": {"9a5ff122a3f913415d87b52bf73321403e8f202e": {"t": 1785674504.4551919, "n": 8589, "h": "4757515839544d6f", "c": "# 代理与 LLM Provider 配置\n\n本文档说明如何配置 LLM provider（模型服务商）、API key，以及网络代理设置。\n\n## 配置文件位置\n\n```\n~/.blockcell/config.json5\n```\n\n首次运行 `blockcell onboard` 会自动生成此文件。也可以用 `blockcell config edit` 直接编辑。\n\nWebUI 的完整配置编辑器也会直接读取/保存原始 `config.json5` 文本；保存时由后端校验 JSON5，因此注释和排版可以保留在原始编辑路径中。\n\n---\n\n## 一、Provider 配置\n\n### 配置结构\n\n配置文件的 `providers` 字段是一个 map，key 是 provider 名称，value 包含三个字段：\n\n```json\n{\n  \"providers\": {\n    \"<provider-name>\": {\n      \"apiKey\": \"your-api-key\",\n      \"apiBase\": \"https://api.example.com/v1\",\n      \"proxy\": \"http://127.0.0.1:7890\"\n    }\n  }\n}\n```\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| `apiKey` | string | API 密钥 |\n| `apiBase` | string（可选） | 自定义 API 地址（覆盖内置默认值） |\n| `proxy` | string（可选） | 该 provider 专用代理，优先级高于全局 `network.proxy`。设为 `\"\"` 可强制该 provider 直连（跳过全局代理） |\n\n### 内置 Provider 列表\n\n以下 provider 在默认配置中已预置，只需填入 `apiKey` 即可使用；其中一部分是 OpenAI 兼容接口，一部分使用专用 provider 实现：\n\n| Provider 名称 | 默认 apiBase | 说明 |\n|---------------|-------------|------|\n| `anthropic` | `https://api.anthropic.com/v1` | Anthropic Claude 系列 |\n| `openai` | `https://api.openai.com/v1` | OpenAI GPT/o1/o3 系列 |\n| `deepseek` | `https://api.deepseek.com/v1` | DeepSeek 系列 |\n| `openrouter` | `https://openrouter.ai/api/v1` | OpenRouter 聚合 |\n| `groq` | `https://api.groq.com/openai/v1` | Groq 加速推理 |\n| `zhipu` | `https://open.bigmodel.cn/api/paas/v4` | 智谱 ChatGLM 系列 |\n| `vllm` | `http://localhost:8000/v1` | 本地 vLLM 服务 |\n| `gemini` | `https://generativelanguage.googleapis.com/v1beta/openai` | Google Gemini 系列（OpenAI-compatible 配置） |\n| `kimi` | `https://api.moonshot.cn/v1` | Kimi / Moonshot 系列 |\n| `xai` | `https://api.x.ai/v1` | xAI / Grok 系列 |\n| `mistral` | `https://api.mistral.ai/v1` | Mistral 系列 |\n| `minimax` | `https://api.minimaxi.com/v1` | MiniMax 系列 |\n| `qwen` | `https://api.qwen.ai/v1` | Qwen 系列 |\n| `glm` | `https://api.z.ai/v1` | GLM 系列 |\n| `siliconflow` | `https://api.siliconflow.cn/v1` | SiliconFlow 聚合 |\n| `ollama` | `http://localhost:11434` | 本地 Ollama 服务（不需要 apiKey） |\n\n### 常用配置示例\n\n**DeepSeek：**\n```json\n{\n  \"providers\": {\n    \"deepseek\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"deepseek-v4-pro\",\n      \"provider\": \"deepseek\",\n      \"maxContextTokens\": 1048576,\n      \"reasoningEffort\": \"high\"\n    }\n  }\n}\n```\n\n**Anthropic Claude：**\n```json\n{\n  \"providers\": {\n    \"anthropic\": {\n      \"apiKey\": \"sk-ant-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"claude-3-5-sonnet-20241022\"\n    }\n  }\n}\n```\n\n**Kimi（Moonshot）：**\n```json\n{\n  \"providers\": {\n    \"kimi\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"kimi-k2.6\"\n    }\n  }\n}\n```\n\n**OpenRouter（访问多家模型）：**\n```json\n{\n  \"providers\": {\n    \"openrouter\": {\n      \"apiKey\": \"sk-or-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"anthropic/claude-3-5-sonnet\"\n    }\n  }\n}\n```\n\n**本地 Ollama（无需 apiKey）：**\n```json\n{\n  \"providers\": {\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"ollama/qwen3.6\"\n    }\n  }\n}\n```\n\n**自托管 vLLM / OpenAI 兼容服务：**\n```json\n{\n  \"providers\": {\n    \"vllm\": {\n      \"apiKey\": \"dummy\",\n      \"apiBase\": \"http://192.168.1.100:8000/v1\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"Qwen/Qwen3.6-35B-A3B\",\n      \"provider\": \"vllm\"\n    }\n  }\n}\n```\n\n---\n\n## 二、Agent 模型配置\n\n`agents.defaults` 控制 Agent 使用的模型和行为参数：\n\n```json\n{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"deepseek-v4-pro\",\n      \"provider\": null,\n      \"maxTokens\": 8192,\n      \"temperature\": 0.7,\n      \"maxToolIterations\": 30,\n      \"llmMaxRetries\": 3,\n      \"llmRetryDelayMs\": 2000,\n      \"maxContextTokens\": 1048576,\n      \"reasoningEffort\": null,\n      \"evolutionModel\": null,\n      \"evolutionProvider\": null\n    }\n  }\n}\n```\n\n| 字段 | 默认值 | 说明 |\n|------|--------|------|\n| `model` | `deepseek-v4-pro` | 主模型名称；`setup` 会按所选 provider 写入推荐默认模型 |\n| `provider` | null | 显式指定 provider（不指定则从 model 前缀推断） |\n| `maxTokens` | 8192 | 每次 LLM 调用的最大输出 token 数 |\n| `temperature` | 0.7 | 采样温度（0.0 ~ 1.0） |\n| `maxToolIterations` | 30 | 单次消息处理的最大工具调用轮数 |\n| `llmMaxRetries` | 3 | LLM 调用失败时的最大重试次数 |\n| `llmRetryDelayMs` | 2000 | 重试间隔（毫秒） |\n| `maxContextTokens` | 1048576 | 上下文窗口大小（影响历史压缩）；DeepSeek/Gemini 等长上下文模型可使用更高值 |\n| `reasoningEffort` | null | 推理强度控制；DeepSeek thinking mode 支持 `off`、`low`、`medium`、`high`、`max` |\n| `evolutionModel` | null | 技能自进化专用模型（为 null 则使用主模型） |\n| `evolutionProvider` | null | 技能自进化专用 provider |\n\n### Provider 选择逻辑\n\n系统按以下优先级选择 provider：\n\n1. **`agents.defaults.provider` 显式指定**（最高优先级）\n2. **从 `model` 字段前缀推断**：\n   - `anthropic/...` 或 `claude-` 开头 → `anthropic`\n   - `gemini/...` 或 `gemini-` 开头 → `gemini`\n   - `ollama/...` 开头 → `ollama`\n   - `kimi` 或 `moonshot` 开头 → `kimi`\n   - `openai/...`、`gpt-`、`o1`、`o3` 开头 → `openai`\n   - `deepseek` 开头 → `deepseek`\n   - `groq/...` 开头 → `groq`\n3. **从 `providers` 中按内置优先顺序找第一个配置了有效 apiKey 的 provider**（fallback）\n\n内置 fallback 顺序目前是：`anthropic` → `openai` → `openrouter` → `deepseek` → `kimi` → `gemini` → `zhipu` → `groq` → `vllm` → `ollama`。\n\n`xai`、`mistral`、`minimax`、`qwen`、`glm`、`siliconflow` 这些 provider 也在默认配置里预置了，但如果你想优先使用它们，通常需要显式指定 `provider` 或在 `model` 上使用能推断出对应 provider 的前缀。\n\n**实际示例：**\n\n```json\n// 情形1：model 前缀自动推断（推荐，无需设置 provider）\n{ \"model\": \"claude-3-5-sonnet-20241022\" }\n// → 自动推断使用 anthropic provider\n\n// 情形2：使用 openrouter 调用 Claude（model 前缀是 anthropic/，但想走 openrouter）\n{ \"model\": \"anthropic/claude-3-5-sonnet\", \"provider\": \"openrouter\" }\n\n// 情形3：本地 Ollama 模型\n{ \"model\": \"ollama/qwen3.6\" }\n// → 自动推断使用 ollama provider\n```\n\n---\n\n## 三、全局网络代理配置\n\n`network` 字段控制全局 HTTP 代理，适用于所有 LLM provider 请求：\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\",\n    \"noProxy\": [\"localhost\", \"127.0.0.1\", \"::1\", \"*.local\"]\n  }\n}\n```\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| `proxy` | string（可选） | 全局代理地址，格式：`http://host:port` 或 `socks5://host:port`。留空则直连 |\n| `noProxy` | string[]（可选） | 不走代理的域名/IP 列表，支持前缀通配符 `*.example.com` |\n\n### 代理优先级规则\n\n| 优先级 | 配置 | 说明 |\n|--------|------|------|\n| 最高 | `providers.<name>.proxy = \"http://...\"` | 该 provider 使用专用代理 |\n| 最高 | `providers.<name>.proxy = \"\"` | 该 provider **强制直连**，跳过全局代理 |\n| 中 | `network.proxy` | 全局代理（所有未单独配置的 provider 都走此代理） |\n| 最低 | 不配置 | 直连 |\n\n### 代理配置场景示例\n\n**场景1：全局代理，所有请求都走代理**\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\"\n  }\n}\n```\n\n**场景2：全局代理，但 Ollama 本地服务直连**\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\",\n    \"noProxy\": [\"localhost\", \"127.0.0.1\"]\n  },\n  \"providers\": {\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\",\n      \"proxy\": \"\"\n    }\n  }\n}\n```\n\n**场景3：全局不代理，仅 Anthropic 走代理（例如需要翻墙）**\n\n```json\n{\n  \"providers\": {\n    \"anthropic\": {\n      \"apiKey\": \"sk-ant-xxxxxxxx\",\n      \"proxy\": \"http://127.0.0.1:7890\"\n    },\n    \"deepseek\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    }\n  }\n}\n```\n\n**场景4：SOCKS5 代理**\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"socks5://127.0.0.1:1080\"\n  }\n}\n```\n\n---\n\n## 四、Telegram 渠道代理\n\nTelegram 渠道有独立的代理配置，与 LLM provider 代理分开设置：\n\n```json\n{\n  \"channels\": {\n    \"telegram\": {\n      \"enabled\": true,\n      \"token\": \"your-bot-token\",\n      \"allowFrom\": [\"123456789\"],\n      \"proxy\": \"http://127.0.0.1:7890\"\n    }\n  }\n}\n```\n\n---\n\n## 五、使用 CLI 快速修改配置\n\n无需手动编辑 JSON5，可用 `config set` 命令修改：\n\n```bash\n# 设置全局代理\nblockcell config set network.proxy \"http://127.0.0.1:7890\"\n\n# 设置模型\nblockcell config set agents.defaults.model \"deepseek-v4-pro\"\n\n# 设置 DeepSeek API Key\nblockcell config set providers.deepseek.apiKey \"sk-xxxxxxxx\"\n\n# 为 Anthropic 设置专用代理\nblockcell config set providers.anthropic.proxy \"http://127.0.0.1:7890\"\n\n# 强制 vllm 直连（跳过全局代理）\nblockcell config set providers.vllm.proxy \"\"\n\n# 查看当前代理设置\nblockcell config get network.proxy\n\n# 查看所有 provider 配置\nblockcell config providers\n```\n\n---\n\n## 六、完整配置示例\n\n以下是一个生产环境常用的完整配置示例：\n\n```json\n{\n  \"providers\": {\n    \"anthropic\": {\n      \"apiKey\": \"sk-ant-xxxxxxxx\"\n    },\n    \"deepseek\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    },\n    \"openrouter\": {\n      \"apiKey\": \"sk-or-xxxxxxxx\",\n      \"apiBase\": \"https://openrouter.ai/api/v1\"\n    },\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\",\n      \"proxy\": \"\"\n    }\n  },\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\",\n    \"noProxy\": [\"localhost\", \"127.0.0.1\", \"::1\"]\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"claude-3-5-sonnet-20241022\",\n      \"maxTokens\": 8192,\n      \"temperature\": 0.7,\n      \"maxToolIterations\": 20,\n      \"evolutionModel\": \"deepseek-v4-pro\",\n      \"evolutionProvider\": \"deepseek\"\n    }\n  },\n  \"gateway\": {\n    \"host\": \"0.0.0.0\",\n    \"port\": 18790,\n    \"apiToken\": \"your-secret-token\"\n  }\n}\n```\n\n> **说明：** 此配置使用 Claude 作为主模型（走全局代理），DeepSeek 专门用于技能自进化（更便宜），本地 Ollama 强制直连。\n"}, "27f4d4f01e2c743986e0723b71f12f7bbbdde4d4": {"t": 1785846887.7196302, "n": 8589, "h": "4757515839544d6f", "c": "# 代理与 LLM Provider 配置\n\n本文档说明如何配置 LLM provider（模型服务商）、API key，以及网络代理设置。\n\n## 配置文件位置\n\n```\n~/.blockcell/config.json5\n```\n\n首次运行 `blockcell onboard` 会自动生成此文件。也可以用 `blockcell config edit` 直接编辑。\n\nWebUI 的完整配置编辑器也会直接读取/保存原始 `config.json5` 文本；保存时由后端校验 JSON5，因此注释和排版可以保留在原始编辑路径中。\n\n---\n\n## 一、Provider 配置\n\n### 配置结构\n\n配置文件的 `providers` 字段是一个 map，key 是 provider 名称，value 包含三个字段：\n\n```json\n{\n  \"providers\": {\n    \"<provider-name>\": {\n      \"apiKey\": \"your-api-key\",\n      \"apiBase\": \"https://api.example.com/v1\",\n      \"proxy\": \"http://127.0.0.1:7890\"\n    }\n  }\n}\n```\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| `apiKey` | string | API 密钥 |\n| `apiBase` | string（可选） | 自定义 API 地址（覆盖内置默认值） |\n| `proxy` | string（可选） | 该 provider 专用代理，优先级高于全局 `network.proxy`。设为 `\"\"` 可强制该 provider 直连（跳过全局代理） |\n\n### 内置 Provider 列表\n\n以下 provider 在默认配置中已预置，只需填入 `apiKey` 即可使用；其中一部分是 OpenAI 兼容接口，一部分使用专用 provider 实现：\n\n| Provider 名称 | 默认 apiBase | 说明 |\n|---------------|-------------|------|\n| `anthropic` | `https://api.anthropic.com/v1` | Anthropic Claude 系列 |\n| `openai` | `https://api.openai.com/v1` | OpenAI GPT/o1/o3 系列 |\n| `deepseek` | `https://api.deepseek.com/v1` | DeepSeek 系列 |\n| `openrouter` | `https://openrouter.ai/api/v1` | OpenRouter 聚合 |\n| `groq` | `https://api.groq.com/openai/v1` | Groq 加速推理 |\n| `zhipu` | `https://open.bigmodel.cn/api/paas/v4` | 智谱 ChatGLM 系列 |\n| `vllm` | `http://localhost:8000/v1` | 本地 vLLM 服务 |\n| `gemini` | `https://generativelanguage.googleapis.com/v1beta/openai` | Google Gemini 系列（OpenAI-compatible 配置） |\n| `kimi` | `https://api.moonshot.cn/v1` | Kimi / Moonshot 系列 |\n| `xai` | `https://api.x.ai/v1` | xAI / Grok 系列 |\n| `mistral` | `https://api.mistral.ai/v1` | Mistral 系列 |\n| `minimax` | `https://api.minimaxi.com/v1` | MiniMax 系列 |\n| `qwen` | `https://api.qwen.ai/v1` | Qwen 系列 |\n| `glm` | `https://api.z.ai/v1` | GLM 系列 |\n| `siliconflow` | `https://api.siliconflow.cn/v1` | SiliconFlow 聚合 |\n| `ollama` | `http://localhost:11434` | 本地 Ollama 服务（不需要 apiKey） |\n\n### 常用配置示例\n\n**DeepSeek：**\n```json\n{\n  \"providers\": {\n    \"deepseek\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"deepseek-v4-pro\",\n      \"provider\": \"deepseek\",\n      \"maxContextTokens\": 1048576,\n      \"reasoningEffort\": \"high\"\n    }\n  }\n}\n```\n\n**Anthropic Claude：**\n```json\n{\n  \"providers\": {\n    \"anthropic\": {\n      \"apiKey\": \"sk-ant-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"claude-3-5-sonnet-20241022\"\n    }\n  }\n}\n```\n\n**Kimi（Moonshot）：**\n```json\n{\n  \"providers\": {\n    \"kimi\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"kimi-k2.6\"\n    }\n  }\n}\n```\n\n**OpenRouter（访问多家模型）：**\n```json\n{\n  \"providers\": {\n    \"openrouter\": {\n      \"apiKey\": \"sk-or-xxxxxxxx\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"anthropic/claude-3-5-sonnet\"\n    }\n  }\n}\n```\n\n**本地 Ollama（无需 apiKey）：**\n```json\n{\n  \"providers\": {\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"ollama/qwen3.6\"\n    }\n  }\n}\n```\n\n**自托管 vLLM / OpenAI 兼容服务：**\n```json\n{\n  \"providers\": {\n    \"vllm\": {\n      \"apiKey\": \"dummy\",\n      \"apiBase\": \"http://192.168.1.100:8000/v1\"\n    }\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"Qwen/Qwen3.6-35B-A3B\",\n      \"provider\": \"vllm\"\n    }\n  }\n}\n```\n\n---\n\n## 二、Agent 模型配置\n\n`agents.defaults` 控制 Agent 使用的模型和行为参数：\n\n```json\n{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"deepseek-v4-pro\",\n      \"provider\": null,\n      \"maxTokens\": 8192,\n      \"temperature\": 0.7,\n      \"maxToolIterations\": 30,\n      \"llmMaxRetries\": 3,\n      \"llmRetryDelayMs\": 2000,\n      \"maxContextTokens\": 1048576,\n      \"reasoningEffort\": null,\n      \"evolutionModel\": null,\n      \"evolutionProvider\": null\n    }\n  }\n}\n```\n\n| 字段 | 默认值 | 说明 |\n|------|--------|------|\n| `model` | `deepseek-v4-pro` | 主模型名称；`setup` 会按所选 provider 写入推荐默认模型 |\n| `provider` | null | 显式指定 provider（不指定则从 model 前缀推断） |\n| `maxTokens` | 8192 | 每次 LLM 调用的最大输出 token 数 |\n| `temperature` | 0.7 | 采样温度（0.0 ~ 1.0） |\n| `maxToolIterations` | 30 | 单次消息处理的最大工具调用轮数 |\n| `llmMaxRetries` | 3 | LLM 调用失败时的最大重试次数 |\n| `llmRetryDelayMs` | 2000 | 重试间隔（毫秒） |\n| `maxContextTokens` | 1048576 | 上下文窗口大小（影响历史压缩）；DeepSeek/Gemini 等长上下文模型可使用更高值 |\n| `reasoningEffort` | null | 推理强度控制；DeepSeek thinking mode 支持 `off`、`low`、`medium`、`high`、`max` |\n| `evolutionModel` | null | 技能自进化专用模型（为 null 则使用主模型） |\n| `evolutionProvider` | null | 技能自进化专用 provider |\n\n### Provider 选择逻辑\n\n系统按以下优先级选择 provider：\n\n1. **`agents.defaults.provider` 显式指定**（最高优先级）\n2. **从 `model` 字段前缀推断**：\n   - `anthropic/...` 或 `claude-` 开头 → `anthropic`\n   - `gemini/...` 或 `gemini-` 开头 → `gemini`\n   - `ollama/...` 开头 → `ollama`\n   - `kimi` 或 `moonshot` 开头 → `kimi`\n   - `openai/...`、`gpt-`、`o1`、`o3` 开头 → `openai`\n   - `deepseek` 开头 → `deepseek`\n   - `groq/...` 开头 → `groq`\n3. **从 `providers` 中按内置优先顺序找第一个配置了有效 apiKey 的 provider**（fallback）\n\n内置 fallback 顺序目前是：`anthropic` → `openai` → `openrouter` → `deepseek` → `kimi` → `gemini` → `zhipu` → `groq` → `vllm` → `ollama`。\n\n`xai`、`mistral`、`minimax`、`qwen`、`glm`、`siliconflow` 这些 provider 也在默认配置里预置了，但如果你想优先使用它们，通常需要显式指定 `provider` 或在 `model` 上使用能推断出对应 provider 的前缀。\n\n**实际示例：**\n\n```json\n// 情形1：model 前缀自动推断（推荐，无需设置 provider）\n{ \"model\": \"claude-3-5-sonnet-20241022\" }\n// → 自动推断使用 anthropic provider\n\n// 情形2：使用 openrouter 调用 Claude（model 前缀是 anthropic/，但想走 openrouter）\n{ \"model\": \"anthropic/claude-3-5-sonnet\", \"provider\": \"openrouter\" }\n\n// 情形3：本地 Ollama 模型\n{ \"model\": \"ollama/qwen3.6\" }\n// → 自动推断使用 ollama provider\n```\n\n---\n\n## 三、全局网络代理配置\n\n`network` 字段控制全局 HTTP 代理，适用于所有 LLM provider 请求：\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\",\n    \"noProxy\": [\"localhost\", \"127.0.0.1\", \"::1\", \"*.local\"]\n  }\n}\n```\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| `proxy` | string（可选） | 全局代理地址，格式：`http://host:port` 或 `socks5://host:port`。留空则直连 |\n| `noProxy` | string[]（可选） | 不走代理的域名/IP 列表，支持前缀通配符 `*.example.com` |\n\n### 代理优先级规则\n\n| 优先级 | 配置 | 说明 |\n|--------|------|------|\n| 最高 | `providers.<name>.proxy = \"http://...\"` | 该 provider 使用专用代理 |\n| 最高 | `providers.<name>.proxy = \"\"` | 该 provider **强制直连**，跳过全局代理 |\n| 中 | `network.proxy` | 全局代理（所有未单独配置的 provider 都走此代理） |\n| 最低 | 不配置 | 直连 |\n\n### 代理配置场景示例\n\n**场景1：全局代理，所有请求都走代理**\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\"\n  }\n}\n```\n\n**场景2：全局代理，但 Ollama 本地服务直连**\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\",\n    \"noProxy\": [\"localhost\", \"127.0.0.1\"]\n  },\n  \"providers\": {\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\",\n      \"proxy\": \"\"\n    }\n  }\n}\n```\n\n**场景3：全局不代理，仅 Anthropic 走代理（例如需要翻墙）**\n\n```json\n{\n  \"providers\": {\n    \"anthropic\": {\n      \"apiKey\": \"sk-ant-xxxxxxxx\",\n      \"proxy\": \"http://127.0.0.1:7890\"\n    },\n    \"deepseek\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    }\n  }\n}\n```\n\n**场景4：SOCKS5 代理**\n\n```json\n{\n  \"network\": {\n    \"proxy\": \"socks5://127.0.0.1:1080\"\n  }\n}\n```\n\n---\n\n## 四、Telegram 渠道代理\n\nTelegram 渠道有独立的代理配置，与 LLM provider 代理分开设置：\n\n```json\n{\n  \"channels\": {\n    \"telegram\": {\n      \"enabled\": true,\n      \"token\": \"your-bot-token\",\n      \"allowFrom\": [\"123456789\"],\n      \"proxy\": \"http://127.0.0.1:7890\"\n    }\n  }\n}\n```\n\n---\n\n## 五、使用 CLI 快速修改配置\n\n无需手动编辑 JSON5，可用 `config set` 命令修改：\n\n```bash\n# 设置全局代理\nblockcell config set network.proxy \"http://127.0.0.1:7890\"\n\n# 设置模型\nblockcell config set agents.defaults.model \"deepseek-v4-pro\"\n\n# 设置 DeepSeek API Key\nblockcell config set providers.deepseek.apiKey \"sk-xxxxxxxx\"\n\n# 为 Anthropic 设置专用代理\nblockcell config set providers.anthropic.proxy \"http://127.0.0.1:7890\"\n\n# 强制 vllm 直连（跳过全局代理）\nblockcell config set providers.vllm.proxy \"\"\n\n# 查看当前代理设置\nblockcell config get network.proxy\n\n# 查看所有 provider 配置\nblockcell config providers\n```\n\n---\n\n## 六、完整配置示例\n\n以下是一个生产环境常用的完整配置示例：\n\n```json\n{\n  \"providers\": {\n    \"anthropic\": {\n      \"apiKey\": \"sk-ant-xxxxxxxx\"\n    },\n    \"deepseek\": {\n      \"apiKey\": \"sk-xxxxxxxx\"\n    },\n    \"openrouter\": {\n      \"apiKey\": \"sk-or-xxxxxxxx\",\n      \"apiBase\": \"https://openrouter.ai/api/v1\"\n    },\n    \"ollama\": {\n      \"apiBase\": \"http://localhost:11434\",\n      \"proxy\": \"\"\n    }\n  },\n  \"network\": {\n    \"proxy\": \"http://127.0.0.1:7890\",\n    \"noProxy\": [\"localhost\", \"127.0.0.1\", \"::1\"]\n  },\n  \"agents\": {\n    \"defaults\": {\n      \"model\": \"claude-3-5-sonnet-20241022\",\n      \"maxTokens\": 8192,\n      \"temperature\": 0.7,\n      \"maxToolIterations\": 20,\n      \"evolutionModel\": \"deepseek-v4-pro\",\n      \"evolutionProvider\": \"deepseek\"\n    }\n  },\n  \"gateway\": {\n    \"host\": \"0.0.0.0\",\n    \"port\": 18790,\n    \"apiToken\": \"your-secret-token\"\n  }\n}\n```\n\n> **说明：** 此配置使用 Claude 作为主模型（走全局代理），DeepSeek 专门用于技能自进化（更便宜），本地 Ollama 强制直连。\n"}}, "bin/blockcell/src/commands/setup.rs": {"bc15f54c767b4a1ca941f3dbb15526d12de269ed": {"t": 1785746222.6476982, "n": 26851, "h": "3bd680b953693936", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\nuse super::provider_defaults::default_model_for_provider;\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"openrouter\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"qwen\",\n        7 => \"xai\",\n        8 => \"mistral\",\n        9 => \"minimax\",\n        10 => \"groq\",\n        11 => \"siliconflow\",\n        12 => \"openrouter\",\n        13 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" | \"glm\" | \"zai\" | \"z.ai\" => Some(\"zhipu\"),\n        \"qwen\" | \"tongyi\" | \"dashscope\" => Some(\"qwen\"),\n        \"xai\" | \"grok\" => Some(\"xai\"),\n        \"mistral\" => Some(\"mistral\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"groq\" => Some(\"groq\"),\n        \"siliconflow\" => Some(\"siliconflow\"),\n        \"openrouter\" => Some(\"openrouter\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" | \"glm\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"groq\" => Some(\"https://api.groq.com/openai/v1\"),\n        \"siliconflow\" => Some(\"https://api.siliconflow.cn/v1\"),\n        \"openrouter\" => Some(\"https://openrouter.ai/api/v1\"),\n        \"qwen\" => Some(\"https://api.qwen.ai/v1\"),\n        \"xai\" => Some(\"https://api.x.ai/v1\"),\n        \"mistral\" => Some(\"https://api.mistral.ai/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"glm\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"qwen\"), Some(\"qwen\"));\n        assert_eq!(normalize_provider(\"grok\"), Some(\"xai\"));\n        assert_eq!(normalize_provider(\"mistral\"), Some(\"mistral\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"groq\"), Some(\"groq\"));\n        assert_eq!(normalize_provider(\"siliconflow\"), Some(\"siliconflow\"));\n        assert_eq!(normalize_provider(\"openrouter\"), Some(\"openrouter\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-v4-pro\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"anthropic\"), \"claude-opus-4-8\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"kimi-k2.6\");\n        assert_eq!(default_model_for_provider(\"moonshot\"), \"kimi-k2.6\");\n        assert_eq!(\n            default_model_for_provider(\"gemini\"),\n            \"gemini-3.1-pro-preview\"\n        );\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"glm\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"qwen\"), \"qwen3.7-max\");\n        assert_eq!(default_model_for_provider(\"xai\"), \"grok-4.3\");\n        assert_eq!(default_model_for_provider(\"mistral\"), \"mistral-medium-2604\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"MiniMax-M3\");\n        assert_eq!(default_model_for_provider(\"groq\"), \"openai/gpt-oss-120b\");\n        assert_eq!(\n            default_model_for_provider(\"siliconflow\"),\n            \"deepseek-ai/DeepSeek-V4-Pro\"\n        );\n        assert_eq!(default_model_for_provider(\"openrouter\"), \"openai/gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"ollama\"), \"qwen3.6\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "cc0ade7c838a45b5a25824c8e5e86e4b8ea9219d": {"t": 1785760739.9664688, "n": 26851, "h": "3bd680b953693936", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\nuse super::provider_defaults::default_model_for_provider;\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"openrouter\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"qwen\",\n        7 => \"xai\",\n        8 => \"mistral\",\n        9 => \"minimax\",\n        10 => \"groq\",\n        11 => \"siliconflow\",\n        12 => \"openrouter\",\n        13 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" | \"glm\" | \"zai\" | \"z.ai\" => Some(\"zhipu\"),\n        \"qwen\" | \"tongyi\" | \"dashscope\" => Some(\"qwen\"),\n        \"xai\" | \"grok\" => Some(\"xai\"),\n        \"mistral\" => Some(\"mistral\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"groq\" => Some(\"groq\"),\n        \"siliconflow\" => Some(\"siliconflow\"),\n        \"openrouter\" => Some(\"openrouter\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" | \"glm\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"groq\" => Some(\"https://api.groq.com/openai/v1\"),\n        \"siliconflow\" => Some(\"https://api.siliconflow.cn/v1\"),\n        \"openrouter\" => Some(\"https://openrouter.ai/api/v1\"),\n        \"qwen\" => Some(\"https://api.qwen.ai/v1\"),\n        \"xai\" => Some(\"https://api.x.ai/v1\"),\n        \"mistral\" => Some(\"https://api.mistral.ai/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"glm\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"qwen\"), Some(\"qwen\"));\n        assert_eq!(normalize_provider(\"grok\"), Some(\"xai\"));\n        assert_eq!(normalize_provider(\"mistral\"), Some(\"mistral\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"groq\"), Some(\"groq\"));\n        assert_eq!(normalize_provider(\"siliconflow\"), Some(\"siliconflow\"));\n        assert_eq!(normalize_provider(\"openrouter\"), Some(\"openrouter\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-v4-pro\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"anthropic\"), \"claude-opus-4-8\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"kimi-k2.6\");\n        assert_eq!(default_model_for_provider(\"moonshot\"), \"kimi-k2.6\");\n        assert_eq!(\n            default_model_for_provider(\"gemini\"),\n            \"gemini-3.1-pro-preview\"\n        );\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"glm\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"qwen\"), \"qwen3.7-max\");\n        assert_eq!(default_model_for_provider(\"xai\"), \"grok-4.3\");\n        assert_eq!(default_model_for_provider(\"mistral\"), \"mistral-medium-2604\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"MiniMax-M3\");\n        assert_eq!(default_model_for_provider(\"groq\"), \"openai/gpt-oss-120b\");\n        assert_eq!(\n            default_model_for_provider(\"siliconflow\"),\n            \"deepseek-ai/DeepSeek-V4-Pro\"\n        );\n        assert_eq!(default_model_for_provider(\"openrouter\"), \"openai/gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"ollama\"), \"qwen3.6\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "e22deaf8566bbf571de4771d8001d8407bd58418": {"t": 1785760741.3687146, "n": 26852, "h": "1e1eef41be258165", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\nuse super::provider_defaults::default_model_for_provider;\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"openrouter\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"qwen\",\n        7 => \"xai\",\n        8 => \"mistral\",\n        9 => \"minimax\",\n        10 => \"groq\",\n        11 => \"siliconflow\",\n        12 => \"openrouter\",\n        13 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" | \"glm\" | \"zai\" | \"z.ai\" => Some(\"zhipu\"),\n        \"qwen\" | \"tongyi\" | \"dashscope\" => Some(\"qwen\"),\n        \"xai\" | \"grok\" => Some(\"xai\"),\n        \"mistral\" => Some(\"mistral\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"groq\" => Some(\"groq\"),\n        \"siliconflow\" => Some(\"siliconflow\"),\n        \"openrouter\" => Some(\"openrouter\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" | \"glm\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"groq\" => Some(\"https://api.groq.com/openai/v1\"),\n        \"siliconflow\" => Some(\"https://api.siliconflow.cn/v1\"),\n        \"openrouter\" => Some(\"https://openrouter.ai/api/v1\"),\n        \"qwen\" => Some(\"https://api.qwen.ai/v1\"),\n        \"xai\" => Some(\"https://api.x.ai/v1\"),\n        \"mistral\" => Some(\"https://api.mistral.ai/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"glm\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"qwen\"), Some(\"qwen\"));\n        assert_eq!(normalize_provider(\"grok\"), Some(\"xai\"));\n        assert_eq!(normalize_provider(\"mistral\"), Some(\"mistral\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"groq\"), Some(\"groq\"));\n        assert_eq!(normalize_provider(\"siliconflow\"), Some(\"siliconflow\"));\n        assert_eq!(normalize_provider(\"openrouter\"), Some(\"openrouter\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-v4-pro\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"anthropic\"), \"claude-opus-4-8\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"kimi-k2.6\");\n        assert_eq!(default_model_for_provider(\"moonshot\"), \"kimi-k2.6\");\n        assert_eq!(\n            default_model_for_provider(\"gemini\"),\n            \"gemini-3.1-pro-preview\"\n        );\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"glm\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"qwen\"), \"qwen3.7-max\");\n        assert_eq!(default_model_for_provider(\"xai\"), \"grok-4.3\");\n        assert_eq!(default_model_for_provider(\"mistral\"), \"mistral-medium-2604\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"MiniMax-M3\");\n        assert_eq!(default_model_for_provider(\"groq\"), \"openai/gpt-oss-120b\");\n        assert_eq!(\n            default_model_for_provider(\"siliconflow\"),\n            \"deepseek-ai/DeepSeek-V4-Pro\"\n        );\n        assert_eq!(default_model_for_provider(\"openrouter\"), \"openai/gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"ollama\"), \"llama3.3\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "5fb0b513024d6af592e8b621c912c110baff803b": {"t": 1785760743.3652897, "n": 24953, "h": "fb9f328b2d4ca609", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-v4-pro\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-v4-pro\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "714f05ec57e336cdba2e96d9ea17db54b7ca2a61": {"t": 1785760744.8626475, "n": 24949, "h": "56a1a57486863d20", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "45dca16ffc6d6d3ee141b872bf2e4490b465b5c5": {"t": 1785760746.264327, "n": 25077, "h": "2be86c5e040ebf67", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id =\n                prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }.to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\n                    \"最大自动下载大小 (字节)\",\n                    \"10485760\",\n                )?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir = prompt_line_with_default(\n                    \"媒体下载目录 (相对于 workspace)\",\n                    \"downloads\",\n                )?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "eb666a90228c2ac16d0b4cd5cc2962d3a23eb837": {"t": 1785760747.6750836, "n": 25050, "h": "31ad99f5ea138d38", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id =\n                prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }.to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\n                    \"最大自动下载大小 (字节)\",\n                    \"10485760\",\n                )?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir = prompt_line_with_default(\n                    \"媒体下载目录 (相对于 workspace)\",\n                    \"downloads\",\n                )?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "83297d3b134ec5a375413978c5d637e6e5ec1e88": {"t": 1785760749.090145, "n": 21325, "h": "373917c2106c0def", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id =\n                prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "d701fa20676be4c216de98976393bcdc243045e4": {"t": 1785760750.5111058, "n": 21368, "h": "dba973ed73d2faff", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ProviderConfig, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_insert_with(ProviderConfig::default);\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id =\n                prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "241bdd8fabd2cd46aa272df974bfcbd05ef9b034": {"t": 1785760753.014973, "n": 21325, "h": "439c939fcb80e71e", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id =\n                prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "84fb059c773c96bf73d281534830d01e2755a1fa": {"t": 1785760754.5488217, "n": 20004, "h": "5afde47d9f0d573c", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "562bbd542e852dcc6a9ca2e92c3b3c9ec6256196": {"t": 1785760756.0385087, "n": 21368, "h": "935ef248d766562e", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ProviderConfig, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_insert_with(ProviderConfig::default);\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id =\n                prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "487f177cde203a2b6f401b6d4214f426996dd426": {"t": 1785760757.6910121, "n": 20047, "h": "4385b197d7d97ca5", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ProviderConfig, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_insert_with(ProviderConfig::default);\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "a0c0100c1ac433ec0ec45ae732bc276c0d9ee38c": {"t": 1785760759.114373, "n": 19987, "h": "86639f2399859836", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ProviderConfig};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_insert_with(ProviderConfig::default);\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "cdf41c8a555327753c594c3e1ce6f46444dcdaeb": {"t": 1785760761.1162698, "n": 19987, "h": "fdd26bc79901bacf", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ProviderConfig};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_insert_with(ProviderConfig::default);\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.ai/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "3e34b9c096cfedfd9e06c0862ba70b17c6ecc7b9": {"t": 1785760762.3654466, "n": 18634, "h": "11e3c213a3775194", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ProviderConfig};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config\n        .providers\n        .entry(provider.to_string())\n        .or_insert_with(ProviderConfig::default);\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"minimax\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"minimax\",\n        7 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" => Some(\"zhipu\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_model_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"deepseek\" => \"deepseek-chat\",\n        \"openai\" => \"gpt-4o\",\n        \"anthropic\" => \"claude-sonnet-4-20250514\",\n        \"kimi\" => \"moonshot-v1-8k\",\n        \"gemini\" => \"gemini-2.0-flash\",\n        \"zhipu\" => \"glm-4\",\n        \"minimax\" => \"minimax-text-01\",\n        \"ollama\" => \"llama3\",\n        _ => \"gpt-4o\",\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.ai/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimax.chat/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-chat\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-4o\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"moonshot-v1-8k\");\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-4\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"minimax-text-01\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(config.agents.defaults.provider, Some(\"deepseek\".to_string()));\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n}\n"}, "9a5ff122a3f913415d87b52bf73321403e8f202e": {"t": 1786067643.359642, "n": 26851, "h": "3bd680b953693936", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\nuse super::provider_defaults::default_model_for_provider;\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"openrouter\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"qwen\",\n        7 => \"xai\",\n        8 => \"mistral\",\n        9 => \"minimax\",\n        10 => \"groq\",\n        11 => \"siliconflow\",\n        12 => \"openrouter\",\n        13 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" | \"glm\" | \"zai\" | \"z.ai\" => Some(\"zhipu\"),\n        \"qwen\" | \"tongyi\" | \"dashscope\" => Some(\"qwen\"),\n        \"xai\" | \"grok\" => Some(\"xai\"),\n        \"mistral\" => Some(\"mistral\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"groq\" => Some(\"groq\"),\n        \"siliconflow\" => Some(\"siliconflow\"),\n        \"openrouter\" => Some(\"openrouter\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" | \"glm\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"groq\" => Some(\"https://api.groq.com/openai/v1\"),\n        \"siliconflow\" => Some(\"https://api.siliconflow.cn/v1\"),\n        \"openrouter\" => Some(\"https://openrouter.ai/api/v1\"),\n        \"qwen\" => Some(\"https://api.qwen.ai/v1\"),\n        \"xai\" => Some(\"https://api.x.ai/v1\"),\n        \"mistral\" => Some(\"https://api.mistral.ai/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"glm\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"qwen\"), Some(\"qwen\"));\n        assert_eq!(normalize_provider(\"grok\"), Some(\"xai\"));\n        assert_eq!(normalize_provider(\"mistral\"), Some(\"mistral\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"groq\"), Some(\"groq\"));\n        assert_eq!(normalize_provider(\"siliconflow\"), Some(\"siliconflow\"));\n        assert_eq!(normalize_provider(\"openrouter\"), Some(\"openrouter\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-v4-pro\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"anthropic\"), \"claude-opus-4-8\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"kimi-k2.6\");\n        assert_eq!(default_model_for_provider(\"moonshot\"), \"kimi-k2.6\");\n        assert_eq!(\n            default_model_for_provider(\"gemini\"),\n            \"gemini-3.1-pro-preview\"\n        );\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"glm\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"qwen\"), \"qwen3.7-max\");\n        assert_eq!(default_model_for_provider(\"xai\"), \"grok-4.3\");\n        assert_eq!(default_model_for_provider(\"mistral\"), \"mistral-medium-2604\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"MiniMax-M3\");\n        assert_eq!(default_model_for_provider(\"groq\"), \"openai/gpt-oss-120b\");\n        assert_eq!(\n            default_model_for_provider(\"siliconflow\"),\n            \"deepseek-ai/DeepSeek-V4-Pro\"\n        );\n        assert_eq!(default_model_for_provider(\"openrouter\"), \"openai/gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"ollama\"), \"qwen3.6\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}, "27f4d4f01e2c743986e0723b71f12f7bbbdde4d4": {"t": 1786068394.1179678, "n": 26851, "h": "3bd680b953693936", "c": "use anyhow::{anyhow, bail, Context};\nuse blockcell_core::config::{ModelEntry, ToolCallMode};\nuse blockcell_core::{Config, Paths};\nuse std::io::{self, Write};\n\nuse super::provider_defaults::default_model_for_provider;\n\n/// Interactive first-run setup wizard for provider + optional channel.\npub async fn run(\n    force: bool,\n    provider: Option<String>,\n    api_key: Option<String>,\n    model: Option<String>,\n    channel: Option<String>,\n    skip_provider_test: bool,\n) -> anyhow::Result<()> {\n    let paths = Paths::new();\n    paths.ensure_dirs()?;\n\n    let config_path = paths.config_file();\n    let mut config = if config_path.exists() && !force {\n        Config::load(&config_path)\n            .with_context(|| format!(\"Failed to load {}\", config_path.display()))?\n    } else {\n        if config_path.exists() && force {\n            println!(\"⚠ --force enabled: reset existing config to defaults before setup.\");\n        }\n        Config::default()\n    };\n\n    if config.intent_router.is_none() {\n        config.intent_router = Config::default().intent_router;\n    }\n\n    println!(\"blockcell setup\");\n    println!(\"==============\");\n    println!(\"Config file: {}\", config_path.display());\n    println!();\n\n    let selected_provider = resolve_provider(provider.as_deref())?;\n    let provider_name = if let Some(name) = selected_provider {\n        name.to_string()\n    } else {\n        prompt_provider(&config)?\n    };\n\n    if provider_name != \"skip\" {\n        configure_provider(\n            &mut config,\n            &provider_name,\n            api_key.as_deref(),\n            model.as_deref(),\n        )?;\n    } else {\n        println!(\"Skipped LLM provider setup.\");\n    }\n\n    let selected_channel = resolve_channel(channel.as_deref())?;\n    let channel_name = if let Some(name) = selected_channel {\n        name.to_string()\n    } else {\n        prompt_channel()?\n    };\n\n    if channel_name != \"skip\" {\n        configure_channel(&mut config, &channel_name)?;\n        ensure_channel_owner(&mut config, &channel_name);\n    } else {\n        println!(\"Skipped channel setup (WebUI only).\");\n    }\n\n    config\n        .save(&config_path)\n        .with_context(|| format!(\"Failed to save {}\", config_path.display()))?;\n\n    println!();\n    println!(\"✓ Setup completed\");\n    println!(\"  Config: {}\", config_path.display());\n    if provider_name != \"skip\" {\n        let selected = config\n            .agents\n            .defaults\n            .model_pool\n            .iter()\n            .find(|e| e.provider == provider_name)\n            .or_else(|| primary_pool_entry(&config));\n        let selected_model = selected\n            .map(|e| e.model.as_str())\n            .unwrap_or(config.agents.defaults.model.as_str());\n        println!(\"  Provider: {}  Model: {}\", provider_name, selected_model);\n        if !skip_provider_test {\n            match blockcell_providers::create_provider(\n                &config,\n                selected_model,\n                Some(&provider_name),\n            ) {\n                Ok(_) => println!(\"  ✓ Provider config validation passed\"),\n                Err(e) => println!(\"  ⚠ Provider validation failed: {}\", e),\n            }\n        }\n    }\n    if channel_name != \"skip\" {\n        println!(\"  Channel: {} (enabled)\", channel_name);\n    } else {\n        println!(\"  Channel: none (use WebUI only)\");\n    }\n    println!();\n    println!(\"Next steps:\");\n    println!(\"  1. blockcell status\");\n    println!(\"  2. blockcell gateway\");\n    println!(\"  3. Open WebUI: http://localhost:18791/\");\n\n    Ok(())\n}\n\nfn configure_provider(\n    config: &mut Config,\n    provider: &str,\n    api_key_flag: Option<&str>,\n    model_flag: Option<&str>,\n) -> anyhow::Result<()> {\n    let entry = config.providers.entry(provider.to_string()).or_default();\n\n    if entry.api_base.is_none() {\n        entry.api_base = default_api_base_for_provider(provider).map(|s| s.to_string());\n    }\n    if entry.api_type.is_empty() {\n        entry.api_type = default_api_type_for_provider(provider).to_string();\n    }\n\n    if provider == \"ollama\" {\n        if entry.api_key.trim().is_empty() {\n            entry.api_key = \"ollama\".to_string();\n        }\n        if entry.api_base.is_none() {\n            entry.api_base = Some(\"http://localhost:11434\".to_string());\n        }\n    } else {\n        let has_existing = !entry.api_key.trim().is_empty() && entry.api_key != \"dummy\";\n        let final_key = if let Some(flag) = api_key_flag {\n            flag.trim().to_string()\n        } else if has_existing {\n            prompt_line(\"API key (press Enter to keep existing): \")?\n        } else {\n            prompt_line(\"API key: \")?\n        };\n\n        if !final_key.is_empty() {\n            entry.api_key = final_key;\n        }\n\n        if entry.api_key.trim().is_empty() || entry.api_key == \"dummy\" {\n            bail!(\"Provider '{}' requires a valid API key.\", provider);\n        }\n    }\n\n    let suggested_model = if let Some(entry) = config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .find(|e| e.provider == provider)\n    {\n        entry.model.clone()\n    } else {\n        default_model_for_provider(provider).to_string()\n    };\n\n    let final_model = if let Some(m) = model_flag {\n        m.trim().to_string()\n    } else {\n        prompt_line_with_default(\"Model\", &suggested_model)?\n    };\n    if final_model.trim().is_empty() {\n        bail!(\"Model cannot be empty.\");\n    }\n\n    // Setup writes provider/model to model_pool first, and also mirrors to legacy\n    // single-model fields for backward compatibility with older runtimes.\n    config.agents.defaults.model_pool = vec![ModelEntry {\n        model: final_model.clone(),\n        provider: provider.to_string(),\n        weight: 1,\n        priority: 1,\n        input_price: None,\n        output_price: None,\n        temperature: None,\n        tool_call_mode: ToolCallMode::Native,\n    }];\n    config.agents.defaults.provider = Some(provider.to_string());\n    config.agents.defaults.model = final_model;\n\n    Ok(())\n}\n\nfn configure_channel(config: &mut Config, channel: &str) -> anyhow::Result<()> {\n    match channel {\n        \"telegram\" => {\n            let existing = config.channels.telegram.token.clone();\n            let prompt = if existing.trim().is_empty() {\n                \"Telegram bot token: \"\n            } else {\n                \"Telegram bot token (press Enter to keep existing): \"\n            };\n            let token = prompt_line(prompt)?;\n            if !token.is_empty() {\n                config.channels.telegram.token = token;\n            }\n            if config.channels.telegram.token.trim().is_empty() {\n                bail!(\"Telegram token is required.\");\n            }\n            config.channels.telegram.enabled = true;\n        }\n        \"feishu\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Feishu app_id\", &config.channels.feishu.app_id)?;\n            let app_secret = prompt_optional_with_existing(\n                \"Feishu app_secret\",\n                &config.channels.feishu.app_secret,\n            )?;\n\n            if !app_id.is_empty() {\n                config.channels.feishu.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.feishu.app_secret = app_secret;\n            }\n\n            if config.channels.feishu.app_id.trim().is_empty()\n                || config.channels.feishu.app_secret.trim().is_empty()\n            {\n                bail!(\"Feishu app_id and app_secret are required.\");\n            }\n            config.channels.feishu.enabled = true;\n        }\n        \"wecom\" => {\n            let corp_id =\n                prompt_optional_with_existing(\"WeCom corp_id\", &config.channels.wecom.corp_id)?;\n            let corp_secret = prompt_optional_with_existing(\n                \"WeCom corp_secret\",\n                &config.channels.wecom.corp_secret,\n            )?;\n\n            if !corp_id.is_empty() {\n                config.channels.wecom.corp_id = corp_id;\n            }\n            if !corp_secret.is_empty() {\n                config.channels.wecom.corp_secret = corp_secret;\n            }\n\n            if config.channels.wecom.corp_id.trim().is_empty()\n                || config.channels.wecom.corp_secret.trim().is_empty()\n            {\n                bail!(\"WeCom corp_id and corp_secret are required.\");\n            }\n\n            let existing_agent = if config.channels.wecom.agent_id > 0 {\n                config.channels.wecom.agent_id.to_string()\n            } else {\n                \"1000002\".to_string()\n            };\n            let agent_id_str = prompt_line_with_default(\"WeCom agent_id\", &existing_agent)?;\n            let agent_id = agent_id_str\n                .trim()\n                .parse::<i64>()\n                .map_err(|_| anyhow!(\"agent_id must be an integer\"))?;\n            config.channels.wecom.agent_id = agent_id;\n            config.channels.wecom.enabled = true;\n        }\n        \"dingtalk\" => {\n            let app_key = prompt_optional_with_existing(\n                \"DingTalk app_key\",\n                &config.channels.dingtalk.app_key,\n            )?;\n            let app_secret = prompt_optional_with_existing(\n                \"DingTalk app_secret\",\n                &config.channels.dingtalk.app_secret,\n            )?;\n            if !app_key.is_empty() {\n                config.channels.dingtalk.app_key = app_key;\n            }\n            if !app_secret.is_empty() {\n                config.channels.dingtalk.app_secret = app_secret;\n            }\n            if config.channels.dingtalk.app_key.trim().is_empty()\n                || config.channels.dingtalk.app_secret.trim().is_empty()\n            {\n                bail!(\"DingTalk app_key and app_secret are required.\");\n            }\n            config.channels.dingtalk.enabled = true;\n        }\n        \"lark\" => {\n            let app_id =\n                prompt_optional_with_existing(\"Lark app_id\", &config.channels.lark.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"Lark app_secret\", &config.channels.lark.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.lark.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.lark.app_secret = app_secret;\n            }\n            if config.channels.lark.app_id.trim().is_empty()\n                || config.channels.lark.app_secret.trim().is_empty()\n            {\n                bail!(\"Lark app_id and app_secret are required.\");\n            }\n            config.channels.lark.enabled = true;\n        }\n        \"qq\" => {\n            let app_id = prompt_optional_with_existing(\"QQ app_id\", &config.channels.qq.app_id)?;\n            let app_secret =\n                prompt_optional_with_existing(\"QQ app_secret\", &config.channels.qq.app_secret)?;\n            if !app_id.is_empty() {\n                config.channels.qq.app_id = app_id;\n            }\n            if !app_secret.is_empty() {\n                config.channels.qq.app_secret = app_secret;\n            }\n            if config.channels.qq.app_id.trim().is_empty()\n                || config.channels.qq.app_secret.trim().is_empty()\n            {\n                bail!(\"QQ app_id and app_secret are required.\");\n            }\n            let environment = prompt_optional_with_existing(\n                \"QQ environment (production/sandbox)\",\n                &config.channels.qq.environment,\n            )?;\n            if !environment.is_empty() {\n                config.channels.qq.environment = environment;\n            }\n            if config.channels.qq.environment.trim().is_empty() {\n                config.channels.qq.environment = \"production\".to_string();\n            }\n            config.channels.qq.enabled = true;\n        }\n        \"napcat\" => {\n            let mode_options = [\n                \"ws-client (BlockCell connects to NapCatQQ WebSocket server)\",\n                \"ws-server (NapCatQQ connects to BlockCell WebSocket server)\",\n            ];\n            let mode_idx = prompt_select(\"Connection mode\", &mode_options, 0)?;\n            let mode = match mode_idx {\n                0 => \"ws-client\",\n                1 => \"ws-server\",\n                _ => \"ws-client\",\n            }\n            .to_string();\n\n            // WebSocket URL (only for ws-client mode)\n            let ws_url = if mode == \"ws-client\" {\n                prompt_line_with_default(\"WebSocket URL\", \"ws://127.0.0.1:3001\")?\n            } else {\n                String::new()\n            };\n\n            // Server configuration for ws-server mode\n            let (server_host, server_port, server_path) = if mode == \"ws-server\" {\n                let host = prompt_line_with_default(\"WebSocket server host\", \"0.0.0.0\")?;\n                // NapCatQQ client 默认连接 ws://localhost:13005\n                let port_str = prompt_line_with_default(\"WebSocket server port\", \"13005\")?;\n                let port = port_str.parse::<u16>().unwrap_or(13005);\n                // NapCatQQ client 默认连接根路径 /\n                let path = prompt_line_with_default(\"WebSocket server path\", \"/\")?;\n                (host, port, path)\n            } else {\n                (String::new(), 0, String::new())\n            };\n\n            let access_token = prompt_line(\"Access token (optional, press Enter to skip)\")?;\n\n            // Group response mode\n            let mode_options = [\n                \"all - 响应所有群聊消息\",\n                \"at_only - 仅响应@我的群聊消息\",\n                \"none - 不响应任何群聊消息\",\n            ];\n            let mode_idx = prompt_select(\"群聊响应模式\", &mode_options, 0)?;\n            let group_response_mode = match mode_idx {\n                0 => \"all\",\n                1 => \"at_only\",\n                2 => \"none\",\n                _ => \"all\",\n            }\n            .to_string();\n\n            config.channels.napcat.enabled = true;\n            config.channels.napcat.mode = mode;\n            config.channels.napcat.ws_url = ws_url;\n            config.channels.napcat.server_host = server_host;\n            config.channels.napcat.server_port = server_port;\n            config.channels.napcat.server_path = server_path;\n            config.channels.napcat.access_token = access_token;\n            config.channels.napcat.group_response_mode = group_response_mode;\n\n            // 媒体自动下载配置\n            let auto_download_options = [\n                \"是 - 自动下载图片、语音、视频、文件等媒体\",\n                \"否 - 不自动下载媒体\",\n            ];\n            let auto_idx = prompt_select(\"是否自动下载媒体文件\", &auto_download_options, 0)?;\n            config.channels.napcat.auto_download_media = auto_idx == 0;\n\n            if config.channels.napcat.auto_download_media {\n                let max_size_str = prompt_line_with_default(\"最大自动下载大小 (字节)\", \"10485760\")?;\n                if let Ok(max_size) = max_size_str.parse::<u64>() {\n                    config.channels.napcat.max_auto_download_size = max_size;\n                }\n\n                let download_dir =\n                    prompt_line_with_default(\"媒体下载目录 (相对于 workspace)\", \"downloads\")?;\n                if !download_dir.trim().is_empty() {\n                    config.channels.napcat.media_download_dir = download_dir;\n                }\n            }\n        }\n        _ => bail!(\"Unsupported channel '{}'\", channel),\n    }\n\n    Ok(())\n}\n\nfn ensure_channel_owner(config: &mut Config, channel: &str) {\n    if config.resolve_channel_owner(channel).is_some() {\n        return;\n    }\n    let owner = config\n        .known_agent_ids()\n        .into_iter()\n        .next()\n        .unwrap_or_else(|| \"default\".to_string());\n    config\n        .channel_owners\n        .insert(channel.to_string(), owner.clone());\n    println!(\"Assigned channel owner: {} -> {}\", channel, owner);\n}\n\nfn prompt_provider(config: &Config) -> anyhow::Result<String> {\n    let current = primary_pool_entry(config)\n        .map(|e| e.provider.clone())\n        .or_else(|| {\n            config\n                .agents\n                .defaults\n                .model_pool\n                .iter()\n                .find(|e| !e.provider.trim().is_empty())\n                .map(|e| e.provider.clone())\n        })\n        .or_else(|| config.agents.defaults.provider.clone())\n        .or_else(|| config.get_api_key().map(|(name, _)| name.to_string()))\n        .unwrap_or_else(|| \"none\".to_string());\n\n    println!(\"Configure LLM provider (current: {})\", current);\n    let options = [\n        \"deepseek (recommended)\",\n        \"openai\",\n        \"kimi\",\n        \"anthropic\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"openrouter\",\n        \"ollama (local)\",\n        \"skip\",\n    ];\n    let idx = prompt_select(\"Choose provider\", &options, 0)?;\n    let mapped = match idx {\n        0 => \"deepseek\",\n        1 => \"openai\",\n        2 => \"kimi\",\n        3 => \"anthropic\",\n        4 => \"gemini\",\n        5 => \"zhipu\",\n        6 => \"qwen\",\n        7 => \"xai\",\n        8 => \"mistral\",\n        9 => \"minimax\",\n        10 => \"groq\",\n        11 => \"siliconflow\",\n        12 => \"openrouter\",\n        13 => \"ollama\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn primary_pool_entry(config: &Config) -> Option<&ModelEntry> {\n    config\n        .agents\n        .defaults\n        .model_pool\n        .iter()\n        .min_by(|a, b| a.priority.cmp(&b.priority).then(b.weight.cmp(&a.weight)))\n}\n\nfn prompt_channel() -> anyhow::Result<String> {\n    let options = [\n        \"skip (WebUI only)\",\n        \"telegram\",\n        \"feishu\",\n        \"wecom\",\n        \"dingtalk\",\n        \"lark\",\n        \"qq\",\n        \"napcat\",\n    ];\n    let idx = prompt_select(\"Configure one channel (optional)\", &options, 0)?;\n    let mapped = match idx {\n        1 => \"telegram\",\n        2 => \"feishu\",\n        3 => \"wecom\",\n        4 => \"dingtalk\",\n        5 => \"lark\",\n        6 => \"qq\",\n        7 => \"napcat\",\n        _ => \"skip\",\n    };\n    Ok(mapped.to_string())\n}\n\nfn resolve_provider(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_provider(v)\n            .ok_or_else(|| anyhow!(\"Unsupported provider '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn resolve_channel(input: Option<&str>) -> anyhow::Result<Option<&'static str>> {\n    match input {\n        Some(v) => normalize_channel(v)\n            .ok_or_else(|| anyhow!(\"Unsupported channel '{}'\", v))\n            .map(Some),\n        None => Ok(None),\n    }\n}\n\nfn normalize_provider(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"deepseek\" => Some(\"deepseek\"),\n        \"openai\" => Some(\"openai\"),\n        \"kimi\" | \"moonshot\" => Some(\"kimi\"),\n        \"anthropic\" | \"claude\" => Some(\"anthropic\"),\n        \"gemini\" => Some(\"gemini\"),\n        \"zhipu\" | \"glm\" | \"zai\" | \"z.ai\" => Some(\"zhipu\"),\n        \"qwen\" | \"tongyi\" | \"dashscope\" => Some(\"qwen\"),\n        \"xai\" | \"grok\" => Some(\"xai\"),\n        \"mistral\" => Some(\"mistral\"),\n        \"minimax\" => Some(\"minimax\"),\n        \"groq\" => Some(\"groq\"),\n        \"siliconflow\" => Some(\"siliconflow\"),\n        \"openrouter\" => Some(\"openrouter\"),\n        \"ollama\" => Some(\"ollama\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn normalize_channel(input: &str) -> Option<&'static str> {\n    match input.trim().to_lowercase().as_str() {\n        \"telegram\" => Some(\"telegram\"),\n        \"feishu\" => Some(\"feishu\"),\n        \"wecom\" | \"wechatwork\" => Some(\"wecom\"),\n        \"dingtalk\" => Some(\"dingtalk\"),\n        \"lark\" => Some(\"lark\"),\n        \"qq\" => Some(\"qq\"),\n        \"napcat\" | \"napcatqq\" => Some(\"napcat\"),\n        \"none\" | \"skip\" => Some(\"skip\"),\n        _ => None,\n    }\n}\n\nfn default_api_base_for_provider(provider: &str) -> Option<&'static str> {\n    match provider {\n        \"deepseek\" => Some(\"https://api.deepseek.com/v1\"),\n        \"openai\" => Some(\"https://api.openai.com/v1\"),\n        \"anthropic\" => Some(\"https://api.anthropic.com\"),\n        \"kimi\" => Some(\"https://api.moonshot.cn/v1\"),\n        \"gemini\" => Some(\"https://generativelanguage.googleapis.com/v1beta/openai\"),\n        \"zhipu\" | \"glm\" => Some(\"https://open.bigmodel.cn/api/paas/v4\"),\n        \"minimax\" => Some(\"https://api.minimaxi.com/v1\"),\n        \"groq\" => Some(\"https://api.groq.com/openai/v1\"),\n        \"siliconflow\" => Some(\"https://api.siliconflow.cn/v1\"),\n        \"openrouter\" => Some(\"https://openrouter.ai/api/v1\"),\n        \"qwen\" => Some(\"https://api.qwen.ai/v1\"),\n        \"xai\" => Some(\"https://api.x.ai/v1\"),\n        \"mistral\" => Some(\"https://api.mistral.ai/v1\"),\n        \"ollama\" => Some(\"http://localhost:11434\"),\n        _ => None,\n    }\n}\n\nfn default_api_type_for_provider(provider: &str) -> &'static str {\n    match provider {\n        \"anthropic\" | \"minimax\" => \"anthropic\",\n        \"gemini\" => \"openai\",\n        \"ollama\" => \"ollama\",\n        _ => \"openai\",\n    }\n}\n\nfn prompt_select(title: &str, options: &[&str], default_index: usize) -> anyhow::Result<usize> {\n    println!(\"{}\", title);\n    for (i, opt) in options.iter().enumerate() {\n        println!(\"  {}. {}\", i + 1, opt);\n    }\n\n    loop {\n        let input = prompt_line(&format!(\n            \"Enter choice [1-{}] (default {}): \",\n            options.len(),\n            default_index + 1\n        ))?;\n\n        if input.trim().is_empty() {\n            return Ok(default_index);\n        }\n\n        if let Ok(n) = input.trim().parse::<usize>() {\n            if n >= 1 && n <= options.len() {\n                return Ok(n - 1);\n            }\n        }\n        println!(\"Invalid choice, please try again.\");\n    }\n}\n\nfn prompt_optional_with_existing(label: &str, existing: &str) -> anyhow::Result<String> {\n    let prompt = if existing.trim().is_empty() {\n        format!(\"{}: \", label)\n    } else {\n        format!(\"{} (press Enter to keep existing): \", label)\n    };\n    prompt_line(&prompt)\n}\n\nfn prompt_line_with_default(label: &str, default: &str) -> anyhow::Result<String> {\n    let input = prompt_line(&format!(\"{} [{}]: \", label, default))?;\n    if input.trim().is_empty() {\n        Ok(default.to_string())\n    } else {\n        Ok(input)\n    }\n}\n\nfn prompt_line(prompt: &str) -> anyhow::Result<String> {\n    print!(\"{}\", prompt);\n    io::stdout().flush()?;\n\n    let mut input = String::new();\n    io::stdin().read_line(&mut input)?;\n    Ok(input.trim().to_string())\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_normalize_provider_aliases() {\n        assert_eq!(normalize_provider(\"moonshot\"), Some(\"kimi\"));\n        assert_eq!(normalize_provider(\"claude\"), Some(\"anthropic\"));\n        assert_eq!(normalize_provider(\"zhipu\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"glm\"), Some(\"zhipu\"));\n        assert_eq!(normalize_provider(\"qwen\"), Some(\"qwen\"));\n        assert_eq!(normalize_provider(\"grok\"), Some(\"xai\"));\n        assert_eq!(normalize_provider(\"mistral\"), Some(\"mistral\"));\n        assert_eq!(normalize_provider(\"minimax\"), Some(\"minimax\"));\n        assert_eq!(normalize_provider(\"groq\"), Some(\"groq\"));\n        assert_eq!(normalize_provider(\"siliconflow\"), Some(\"siliconflow\"));\n        assert_eq!(normalize_provider(\"openrouter\"), Some(\"openrouter\"));\n        assert_eq!(normalize_provider(\"none\"), Some(\"skip\"));\n        assert_eq!(normalize_provider(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_normalize_channel_aliases() {\n        assert_eq!(normalize_channel(\"wechatwork\"), Some(\"wecom\"));\n        assert_eq!(normalize_channel(\"dingtalk\"), Some(\"dingtalk\"));\n        assert_eq!(normalize_channel(\"qq\"), Some(\"qq\"));\n        assert_eq!(normalize_channel(\"napcat\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"napcatqq\"), Some(\"napcat\"));\n        assert_eq!(normalize_channel(\"skip\"), Some(\"skip\"));\n        assert_eq!(normalize_channel(\"unknown\"), None);\n    }\n\n    #[test]\n    fn test_default_model() {\n        assert_eq!(default_model_for_provider(\"deepseek\"), \"deepseek-v4-pro\");\n        assert_eq!(default_model_for_provider(\"openai\"), \"gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"anthropic\"), \"claude-opus-4-8\");\n        assert_eq!(default_model_for_provider(\"kimi\"), \"kimi-k2.6\");\n        assert_eq!(default_model_for_provider(\"moonshot\"), \"kimi-k2.6\");\n        assert_eq!(\n            default_model_for_provider(\"gemini\"),\n            \"gemini-3.1-pro-preview\"\n        );\n        assert_eq!(default_model_for_provider(\"zhipu\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"glm\"), \"glm-5.2\");\n        assert_eq!(default_model_for_provider(\"qwen\"), \"qwen3.7-max\");\n        assert_eq!(default_model_for_provider(\"xai\"), \"grok-4.3\");\n        assert_eq!(default_model_for_provider(\"mistral\"), \"mistral-medium-2604\");\n        assert_eq!(default_model_for_provider(\"minimax\"), \"MiniMax-M3\");\n        assert_eq!(default_model_for_provider(\"groq\"), \"openai/gpt-oss-120b\");\n        assert_eq!(\n            default_model_for_provider(\"siliconflow\"),\n            \"deepseek-ai/DeepSeek-V4-Pro\"\n        );\n        assert_eq!(default_model_for_provider(\"openrouter\"), \"openai/gpt-5.5\");\n        assert_eq!(default_model_for_provider(\"ollama\"), \"qwen3.6\");\n    }\n\n    #[test]\n    fn test_configure_provider_populates_legacy_single_model_fields_for_compat() {\n        let mut config = Config::default();\n        config.agents.defaults.model = \"legacy-model\".to_string();\n        config.agents.defaults.provider = Some(\"legacy-provider\".to_string());\n\n        configure_provider(\n            &mut config,\n            \"deepseek\",\n            Some(\"test-deepseek-key\"),\n            Some(\"deepseek-chat\"),\n        )\n        .expect(\"configure_provider should succeed\");\n\n        assert_eq!(\n            config.agents.defaults.provider,\n            Some(\"deepseek\".to_string())\n        );\n        assert_eq!(config.agents.defaults.model, \"deepseek-chat\");\n        assert_eq!(config.agents.defaults.model_pool.len(), 1);\n        let entry = &config.agents.defaults.model_pool[0];\n        assert_eq!(entry.provider, \"deepseek\");\n        assert_eq!(entry.model, \"deepseek-chat\");\n        assert_eq!(entry.weight, 1);\n        assert_eq!(entry.priority, 1);\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_defaults_to_default_agent() {\n        let mut config = Config::default();\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"default\")\n        );\n    }\n\n    #[test]\n    fn test_ensure_channel_owner_keeps_existing() {\n        let mut config = Config::default();\n        config\n            .channel_owners\n            .insert(\"telegram\".to_string(), \"ops\".to_string());\n        ensure_channel_owner(&mut config, \"telegram\");\n        assert_eq!(\n            config.channel_owners.get(\"telegram\").map(|s| s.as_str()),\n            Some(\"ops\")\n        );\n    }\n}\n"}}, "crates/providers/src/factory.rs": {"bc15f54c767b4a1ca941f3dbb15526d12de269ed": {"t": 1785746223.1848447, "n": 14845, "h": "aa3ee122f590654c", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" | \"glm\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        \"qwen\" => \"https://api.qwen.ai/v1\",\n        \"xai\" => \"https://api.x.ai/v1\",\n        \"mistral\" => \"https://api.mistral.ai/v1\",\n        \"minimax\" => \"https://api.minimaxi.com/v1\",\n        \"siliconflow\" => \"https://api.siliconflow.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    let model = model.trim();\n    let lower = model.to_ascii_lowercase();\n\n    if lower.starts_with(\"anthropic/\") || lower.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if lower.starts_with(\"gemini/\") || lower.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if lower.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if lower.starts_with(\"kimi\") || lower.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if lower.starts_with(\"openai/\")\n        || lower.starts_with(\"gpt-\")\n        || lower.starts_with(\"o1\")\n        || lower.starts_with(\"o3\")\n        || lower.starts_with(\"o4\")\n    {\n        Some(\"openai\")\n    } else if lower.starts_with(\"deepseek-ai/\")\n        || lower.starts_with(\"zai-org/\")\n        || lower.starts_with(\"qwen/\")\n    {\n        Some(\"siliconflow\")\n    } else if lower.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if lower.starts_with(\"grok-\") {\n        Some(\"xai\")\n    } else if lower.starts_with(\"mistral\") {\n        Some(\"mistral\")\n    } else if lower.starts_with(\"glm-\") {\n        Some(\"zhipu\")\n    } else if lower.starts_with(\"qwen\") {\n        Some(\"qwen\")\n    } else if lower.starts_with(\"minimax\") {\n        Some(\"minimax\")\n    } else if lower.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-5.5', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )?) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )?) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )?) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )?) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-3.5-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/qwen3.6\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-k2.6\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-5.5\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"o4-mini\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"grok-4.3\"), Some(\"xai\"));\n        assert_eq!(\n            infer_provider_from_model(\"mistral-medium-2604\"),\n            Some(\"mistral\")\n        );\n        assert_eq!(infer_provider_from_model(\"glm-5.2\"), Some(\"zhipu\"));\n        assert_eq!(infer_provider_from_model(\"qwen3.7-max\"), Some(\"qwen\"));\n        assert_eq!(infer_provider_from_model(\"MiniMax-M3\"), Some(\"minimax\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-ai/DeepSeek-V4-Pro\"),\n            Some(\"siliconflow\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"qwen3.6\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-5.5\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "cc0ade7c838a45b5a25824c8e5e86e4b8ea9219d": {"t": 1785760739.7699983, "n": 14845, "h": "aa3ee122f590654c", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" | \"glm\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        \"qwen\" => \"https://api.qwen.ai/v1\",\n        \"xai\" => \"https://api.x.ai/v1\",\n        \"mistral\" => \"https://api.mistral.ai/v1\",\n        \"minimax\" => \"https://api.minimaxi.com/v1\",\n        \"siliconflow\" => \"https://api.siliconflow.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    let model = model.trim();\n    let lower = model.to_ascii_lowercase();\n\n    if lower.starts_with(\"anthropic/\") || lower.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if lower.starts_with(\"gemini/\") || lower.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if lower.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if lower.starts_with(\"kimi\") || lower.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if lower.starts_with(\"openai/\")\n        || lower.starts_with(\"gpt-\")\n        || lower.starts_with(\"o1\")\n        || lower.starts_with(\"o3\")\n        || lower.starts_with(\"o4\")\n    {\n        Some(\"openai\")\n    } else if lower.starts_with(\"deepseek-ai/\")\n        || lower.starts_with(\"zai-org/\")\n        || lower.starts_with(\"qwen/\")\n    {\n        Some(\"siliconflow\")\n    } else if lower.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if lower.starts_with(\"grok-\") {\n        Some(\"xai\")\n    } else if lower.starts_with(\"mistral\") {\n        Some(\"mistral\")\n    } else if lower.starts_with(\"glm-\") {\n        Some(\"zhipu\")\n    } else if lower.starts_with(\"qwen\") {\n        Some(\"qwen\")\n    } else if lower.starts_with(\"minimax\") {\n        Some(\"minimax\")\n    } else if lower.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-5.5', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )?) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )?) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )?) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )?) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-3.5-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/qwen3.6\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-k2.6\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-5.5\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"o4-mini\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"grok-4.3\"), Some(\"xai\"));\n        assert_eq!(\n            infer_provider_from_model(\"mistral-medium-2604\"),\n            Some(\"mistral\")\n        );\n        assert_eq!(infer_provider_from_model(\"glm-5.2\"), Some(\"zhipu\"));\n        assert_eq!(infer_provider_from_model(\"qwen3.7-max\"), Some(\"qwen\"));\n        assert_eq!(infer_provider_from_model(\"MiniMax-M3\"), Some(\"minimax\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-ai/DeepSeek-V4-Pro\"),\n            Some(\"siliconflow\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"qwen3.6\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-5.5\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "e22deaf8566bbf571de4771d8001d8407bd58418": {"t": 1785760743.6060085, "n": 14843, "h": "ef1605aa648fc35d", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" | \"glm\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        \"qwen\" => \"https://api.qwen.ai/v1\",\n        \"xai\" => \"https://api.x.ai/v1\",\n        \"mistral\" => \"https://api.mistral.ai/v1\",\n        \"minimax\" => \"https://api.minimaxi.com/v1\",\n        \"siliconflow\" => \"https://api.siliconflow.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    let model = model.trim();\n    let lower = model.to_ascii_lowercase();\n\n    if lower.starts_with(\"anthropic/\") || lower.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if lower.starts_with(\"gemini/\") || lower.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if lower.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if lower.starts_with(\"kimi\") || lower.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if lower.starts_with(\"openai/\")\n        || lower.starts_with(\"gpt-\")\n        || lower.starts_with(\"o1\")\n        || lower.starts_with(\"o3\")\n        || lower.starts_with(\"o4\")\n    {\n        Some(\"openai\")\n    } else if lower.starts_with(\"deepseek-ai/\")\n        || lower.starts_with(\"zai-org/\")\n        || lower.starts_with(\"qwen/\")\n    {\n        Some(\"siliconflow\")\n    } else if lower.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if lower.starts_with(\"grok-\") {\n        Some(\"xai\")\n    } else if lower.starts_with(\"mistral\") {\n        Some(\"mistral\")\n    } else if lower.starts_with(\"glm-\") {\n        Some(\"zhipu\")\n    } else if lower.starts_with(\"qwen\") {\n        Some(\"qwen\")\n    } else if lower.starts_with(\"minimax\") {\n        Some(\"minimax\")\n    } else if lower.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-5.5', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )?) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )?) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )?) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )?) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-3.5-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-k2.6\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-5.5\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"o4-mini\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"grok-4.3\"), Some(\"xai\"));\n        assert_eq!(\n            infer_provider_from_model(\"mistral-medium-2604\"),\n            Some(\"mistral\")\n        );\n        assert_eq!(infer_provider_from_model(\"glm-5.2\"), Some(\"zhipu\"));\n        assert_eq!(infer_provider_from_model(\"qwen3.7-max\"), Some(\"qwen\"));\n        assert_eq!(infer_provider_from_model(\"MiniMax-M3\"), Some(\"minimax\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-ai/DeepSeek-V4-Pro\"),\n            Some(\"siliconflow\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-5.5\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "9789c1c57769ce76b47e6d60780a01b7bcb080c1": {"t": 1785760744.9475083, "n": 13277, "h": "6709813b3fa4e669", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )?) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )?) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )?) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )?) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "5fb0b513024d6af592e8b621c912c110baff803b": {"t": 1785760747.4275463, "n": 13269, "h": "f406cd174f0a84ab", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "45dca16ffc6d6d3ee141b872bf2e4490b465b5c5": {"t": 1785760748.8328495, "n": 13104, "h": "6088d6b900019ad9", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "0dd85826fd822abd7da1b543c78440f6310729b8": {"t": 1785760750.0294752, "n": 13015, "h": "3964650f7d48fff4", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "1d229c3dddb0c0214bd53384c71fe785645d9aa3": {"t": 1785760751.5472605, "n": 13004, "h": "cffb40e754f2d7be", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "487f177cde203a2b6f401b6d4214f426996dd426": {"t": 1785760753.3540056, "n": 13004, "h": "0753457cc21de7fe", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider,\n    OpenAIResponsesProvider, Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "e81f15ab9d3121d52e9ef25a396d5df380ee2b95": {"t": 1785760754.6279993, "n": 12501, "h": "0259d2f3a09264a3", "c": "use blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider,\n    OpenAIResponsesProvider, Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider(config, model, explicit_provider)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider(config, model, explicit_provider)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "cdf41c8a555327753c594c3e1ce6f46444dcdaeb": {"t": 1785760756.2807295, "n": 11786, "h": "f6265264f5ef8a57", "c": "use blockcell_core::Config;\n\nuse crate::{AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, Provider};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\")\n        || model.starts_with(\"gpt-\")\n        || model.starts_with(\"o1\")\n        || model.starts_with(\"o3\")\n    {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"groq\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider(config, model, explicit_provider)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider(config, model, explicit_provider)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-2.0-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "e153cdd0bf0e592f1e25c8ed441f36a57116a175": {"t": 1785760759.7292688, "n": 11586, "h": "1d1fae5eedf18bfd", "c": "use blockcell_core::Config;\n\nuse crate::{AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, Provider};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\") || model.starts_with(\"gpt-\") || model.starts_with(\"o1\") || model.starts_with(\"o3\") {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\", \"openai\", \"openrouter\", \"deepseek\", \"kimi\",\n        \"gemini\", \"zhipu\", \"groq\", \"vllm\", \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => {\n            Ok(Box::new(AnthropicProvider::new_with_proxy(\n                &resolved_cfg.api_key,\n                resolved_cfg.api_base.as_deref(),\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        \"gemini\" => {\n            Ok(Box::new(GeminiProvider::new_with_proxy(\n                &resolved_cfg.api_key,\n                resolved_cfg.api_base.as_deref(),\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        \"ollama\" => {\n            let api_base = resolved_cfg.api_base.as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => {\n                    Ok(Box::new(AnthropicProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        resolved_cfg.api_base.as_deref(),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"gemini\" => {\n                    Ok(Box::new(GeminiProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        resolved_cfg.api_base.as_deref(),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                \"ollama\" => {\n                    let api_base = resolved_cfg.api_base.as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg.api_base.as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider(config, model, explicit_provider)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config.agents.defaults.evolution_model.as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config.agents.defaults.evolution_provider.as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider(config, model, explicit_provider)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(infer_provider_from_model(\"anthropic/claude-sonnet-4\"), Some(\"anthropic\"));\n        assert_eq!(infer_provider_from_model(\"claude-3-5-sonnet\"), Some(\"anthropic\"));\n        assert_eq!(infer_provider_from_model(\"gemini-2.0-flash\"), Some(\"gemini\"));\n        assert_eq!(infer_provider_from_model(\"gemini/gemini-pro\"), Some(\"gemini\"));\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"deepseek-coder\"), Some(\"deepseek\"));\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "d8b2f11b1fc312c8ae8fba0295eecc4621eb3c13": {"t": 1785760762.1013916, "n": 9825, "h": "19770309fcbb72db", "c": "use blockcell_core::Config;\n\nuse crate::{AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, Provider};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\") || model.starts_with(\"gpt-\") || model.starts_with(\"o1\") || model.starts_with(\"o3\") {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\", \"openai\", \"openrouter\", \"deepseek\", \"kimi\",\n        \"gemini\", \"zhipu\", \"groq\", \"vllm\", \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => {\n            Ok(Box::new(AnthropicProvider::new_with_proxy(\n                &resolved_cfg.api_key,\n                resolved_cfg.api_base.as_deref(),\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        \"gemini\" => {\n            Ok(Box::new(GeminiProvider::new_with_proxy(\n                &resolved_cfg.api_key,\n                resolved_cfg.api_base.as_deref(),\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        \"ollama\" => {\n            let api_base = resolved_cfg.api_base.as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n        _ => {\n            // OpenAI 兼容：openrouter, openai, deepseek, groq, zhipu, vllm, kimi, moonshot 等\n            let api_base = resolved_cfg.api_base.as_deref()\n                .unwrap_or_else(|| default_api_base(effective_provider));\n            Ok(Box::new(OpenAIProvider::new_with_proxy(\n                &resolved_cfg.api_key,\n                Some(api_base),\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )) as Box<dyn Provider>)\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider(config, model, explicit_provider)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config.agents.defaults.evolution_model.as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config.agents.defaults.evolution_provider.as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider(config, model, explicit_provider)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(infer_provider_from_model(\"anthropic/claude-sonnet-4\"), Some(\"anthropic\"));\n        assert_eq!(infer_provider_from_model(\"claude-3-5-sonnet\"), Some(\"anthropic\"));\n        assert_eq!(infer_provider_from_model(\"gemini-2.0-flash\"), Some(\"gemini\"));\n        assert_eq!(infer_provider_from_model(\"gemini/gemini-pro\"), Some(\"gemini\"));\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"deepseek-coder\"), Some(\"deepseek\"));\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "204e5fc0a33a73eca1d4172832df7f2525d47f7a": {"t": 1785760763.44831, "n": 8994, "h": "dbc507f66e0537aa", "c": "use blockcell_core::Config;\n\nuse crate::{AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, Provider};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\nfn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    if model.starts_with(\"anthropic/\") || model.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if model.starts_with(\"gemini/\") || model.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if model.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if model.starts_with(\"kimi\") || model.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if model.starts_with(\"openai/\") || model.starts_with(\"gpt-\") || model.starts_with(\"o1\") || model.starts_with(\"o3\") {\n        Some(\"openai\")\n    } else if model.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if model.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\", \"openai\", \"openrouter\", \"deepseek\", \"kimi\",\n        \"gemini\", \"zhipu\", \"groq\", \"vllm\", \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = config.agents.defaults.temperature;\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-4o', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    match effective_provider {\n        \"anthropic\" => {\n            Ok(Box::new(AnthropicProvider::new(\n                &resolved_cfg.api_key,\n                resolved_cfg.api_base.as_deref(),\n                model,\n                max_tokens,\n                temperature,\n            )))\n        }\n        \"gemini\" => {\n            Ok(Box::new(GeminiProvider::new(\n                &resolved_cfg.api_key,\n                resolved_cfg.api_base.as_deref(),\n                model,\n                max_tokens,\n                temperature,\n            )))\n        }\n        \"ollama\" => {\n            let api_base = resolved_cfg.api_base.as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n            )))\n        }\n        _ => {\n            // OpenAI 兼容：openrouter, openai, deepseek, groq, zhipu, vllm, kimi, moonshot 等\n            let api_base = resolved_cfg.api_base.as_deref()\n                .unwrap_or_else(|| default_api_base(effective_provider));\n            Ok(Box::new(OpenAIProvider::new(\n                &resolved_cfg.api_key,\n                Some(api_base),\n                model,\n                max_tokens,\n                temperature,\n            )))\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider(config, model, explicit_provider)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config.agents.defaults.evolution_model.as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config.agents.defaults.evolution_provider.as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider(config, model, explicit_provider)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(infer_provider_from_model(\"anthropic/claude-sonnet-4\"), Some(\"anthropic\"));\n        assert_eq!(infer_provider_from_model(\"claude-3-5-sonnet\"), Some(\"anthropic\"));\n        assert_eq!(infer_provider_from_model(\"gemini-2.0-flash\"), Some(\"gemini\"));\n        assert_eq!(infer_provider_from_model(\"gemini/gemini-pro\"), Some(\"gemini\"));\n        assert_eq!(infer_provider_from_model(\"ollama/llama3\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-moonshot-v1\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-4o\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"deepseek-coder\"), Some(\"deepseek\"));\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"llama3\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-4o\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "9a5ff122a3f913415d87b52bf73321403e8f202e": {"t": 1786067643.222788, "n": 14845, "h": "aa3ee122f590654c", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" | \"glm\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        \"qwen\" => \"https://api.qwen.ai/v1\",\n        \"xai\" => \"https://api.x.ai/v1\",\n        \"mistral\" => \"https://api.mistral.ai/v1\",\n        \"minimax\" => \"https://api.minimaxi.com/v1\",\n        \"siliconflow\" => \"https://api.siliconflow.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    let model = model.trim();\n    let lower = model.to_ascii_lowercase();\n\n    if lower.starts_with(\"anthropic/\") || lower.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if lower.starts_with(\"gemini/\") || lower.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if lower.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if lower.starts_with(\"kimi\") || lower.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if lower.starts_with(\"openai/\")\n        || lower.starts_with(\"gpt-\")\n        || lower.starts_with(\"o1\")\n        || lower.starts_with(\"o3\")\n        || lower.starts_with(\"o4\")\n    {\n        Some(\"openai\")\n    } else if lower.starts_with(\"deepseek-ai/\")\n        || lower.starts_with(\"zai-org/\")\n        || lower.starts_with(\"qwen/\")\n    {\n        Some(\"siliconflow\")\n    } else if lower.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if lower.starts_with(\"grok-\") {\n        Some(\"xai\")\n    } else if lower.starts_with(\"mistral\") {\n        Some(\"mistral\")\n    } else if lower.starts_with(\"glm-\") {\n        Some(\"zhipu\")\n    } else if lower.starts_with(\"qwen\") {\n        Some(\"qwen\")\n    } else if lower.starts_with(\"minimax\") {\n        Some(\"minimax\")\n    } else if lower.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-5.5', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )?) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )?) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )?) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )?) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-3.5-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/qwen3.6\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-k2.6\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-5.5\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"o4-mini\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"grok-4.3\"), Some(\"xai\"));\n        assert_eq!(\n            infer_provider_from_model(\"mistral-medium-2604\"),\n            Some(\"mistral\")\n        );\n        assert_eq!(infer_provider_from_model(\"glm-5.2\"), Some(\"zhipu\"));\n        assert_eq!(infer_provider_from_model(\"qwen3.7-max\"), Some(\"qwen\"));\n        assert_eq!(infer_provider_from_model(\"MiniMax-M3\"), Some(\"minimax\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-ai/DeepSeek-V4-Pro\"),\n            Some(\"siliconflow\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"qwen3.6\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-5.5\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}, "27f4d4f01e2c743986e0723b71f12f7bbbdde4d4": {"t": 1786068393.7373753, "n": 14845, "h": "aa3ee122f590654c", "c": "use blockcell_core::config::ToolCallMode;\nuse blockcell_core::Config;\n\nuse crate::{\n    AnthropicProvider, GeminiProvider, OllamaProvider, OpenAIProvider, OpenAIResponsesProvider,\n    Provider,\n};\n\n/// 默认的 OpenAI 兼容 provider 的 api_base\npub(crate) fn default_api_base(provider_name: &str) -> &'static str {\n    match provider_name {\n        \"openrouter\" => \"https://openrouter.ai/api/v1\",\n        \"openai\" => \"https://api.openai.com/v1\",\n        \"deepseek\" => \"https://api.deepseek.com/v1\",\n        \"groq\" => \"https://api.groq.com/openai/v1\",\n        \"zhipu\" | \"glm\" => \"https://open.bigmodel.cn/api/paas/v4\",\n        \"kimi\" | \"moonshot\" => \"https://api.moonshot.cn/v1\",\n        \"qwen\" => \"https://api.qwen.ai/v1\",\n        \"xai\" => \"https://api.x.ai/v1\",\n        \"mistral\" => \"https://api.mistral.ai/v1\",\n        \"minimax\" => \"https://api.minimaxi.com/v1\",\n        \"siliconflow\" => \"https://api.siliconflow.cn/v1\",\n        _ => \"https://api.openai.com/v1\",\n    }\n}\n\n/// 从 model 字符串前缀推断 provider 名字\n/// 返回 None 表示无法从前缀推断（需要 fallback）\npub fn infer_provider_from_model(model: &str) -> Option<&'static str> {\n    let model = model.trim();\n    let lower = model.to_ascii_lowercase();\n\n    if lower.starts_with(\"anthropic/\") || lower.starts_with(\"claude-\") {\n        Some(\"anthropic\")\n    } else if lower.starts_with(\"gemini/\") || lower.starts_with(\"gemini-\") {\n        Some(\"gemini\")\n    } else if lower.starts_with(\"ollama/\") {\n        Some(\"ollama\")\n    } else if lower.starts_with(\"kimi\") || lower.starts_with(\"moonshot\") {\n        Some(\"kimi\")\n    } else if lower.starts_with(\"openai/\")\n        || lower.starts_with(\"gpt-\")\n        || lower.starts_with(\"o1\")\n        || lower.starts_with(\"o3\")\n        || lower.starts_with(\"o4\")\n    {\n        Some(\"openai\")\n    } else if lower.starts_with(\"deepseek-ai/\")\n        || lower.starts_with(\"zai-org/\")\n        || lower.starts_with(\"qwen/\")\n    {\n        Some(\"siliconflow\")\n    } else if lower.starts_with(\"deepseek\") {\n        Some(\"deepseek\")\n    } else if lower.starts_with(\"grok-\") {\n        Some(\"xai\")\n    } else if lower.starts_with(\"mistral\") {\n        Some(\"mistral\")\n    } else if lower.starts_with(\"glm-\") {\n        Some(\"zhipu\")\n    } else if lower.starts_with(\"qwen\") {\n        Some(\"qwen\")\n    } else if lower.starts_with(\"minimax\") {\n        Some(\"minimax\")\n    } else if lower.starts_with(\"groq/\") {\n        Some(\"groq\")\n    } else {\n        None\n    }\n}\n\n/// 从 config 中找到第一个配置了 api_key 的 provider 名字作为 fallback\n/// 这比旧的 get_api_key() 更合理：先按 model 前缀确认优先 provider\nfn fallback_provider_name(config: &Config) -> Option<&str> {\n    let priority = [\n        \"anthropic\",\n        \"openai\",\n        \"openrouter\",\n        \"deepseek\",\n        \"kimi\",\n        \"gemini\",\n        \"zhipu\",\n        \"qwen\",\n        \"xai\",\n        \"mistral\",\n        \"minimax\",\n        \"groq\",\n        \"siliconflow\",\n        \"vllm\",\n        \"ollama\",\n    ];\n    for name in priority {\n        if let Some(p) = config.providers.get(name) {\n            if !p.api_key.is_empty() && p.api_key != \"dummy\" {\n                return Some(name);\n            }\n        }\n    }\n    // ollama 特殊处理：不需要真实 api_key\n    if config.providers.contains_key(\"ollama\") {\n        return Some(\"ollama\");\n    }\n    None\n}\n\n/// 统一的 provider 创建入口。\n///\n/// 解析优先级：\n/// 1. `explicit_provider` 参数（来自 config.agents.defaults.provider 或 evolution_provider）\n/// 2. model 字符串前缀推断（如 \"anthropic/claude-...\" → anthropic）\n/// 3. config 中第一个有效 api_key 的 provider（fallback）\n///\n/// 对于 explicit_provider：\n/// - 如果 config.providers 中找不到对应配置，返回 Err\n/// - ollama 不需要 api_key，不报错\npub fn create_provider(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\npub fn create_provider_with_tool_mode(\n    config: &Config,\n    model: &str,\n    explicit_provider: Option<&str>,\n    tool_call_mode: Option<ToolCallMode>,\n    temperature_override: Option<f32>,\n) -> anyhow::Result<Box<dyn Provider>> {\n    let max_tokens = config.agents.defaults.max_tokens;\n    let temperature = temperature_override.unwrap_or(config.agents.defaults.temperature);\n    let reasoning_effort = config.agents.defaults.reasoning_effort.as_deref();\n\n    // 优先级1：显式指定\n    // 优先级2：model 前缀推断\n    // 优先级3：config fallback\n    let effective_provider: &str = if let Some(ep) = explicit_provider {\n        ep\n    } else if let Some(inferred) = infer_provider_from_model(model) {\n        inferred\n    } else if let Some(fallback) = fallback_provider_name(config) {\n        fallback\n    } else {\n        return Err(anyhow::anyhow!(\n            \"No LLM provider configured. Set 'provider' in config, use a recognized model prefix \\\n             (e.g. 'anthropic/claude-...', 'gpt-5.5', 'gemini-...'), or add an API key to providers section.\"\n        ));\n    };\n\n    // 获取 provider 配置\n    let provider_cfg = config.providers.get(effective_provider);\n\n    // 对于显式指定的 provider（非 ollama），必须有配置且有 api_key\n    if explicit_provider.is_some() && effective_provider != \"ollama\" {\n        match provider_cfg {\n            None => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but not found in providers section\",\n                    effective_provider\n                ));\n            }\n            Some(cfg) if cfg.api_key.is_empty() || cfg.api_key == \"dummy\" => {\n                return Err(anyhow::anyhow!(\n                    \"Provider '{}' is explicitly configured but has no API key\",\n                    effective_provider\n                ));\n            }\n            _ => {}\n        }\n    }\n\n    let empty_cfg = blockcell_core::config::ProviderConfig::default();\n    let resolved_cfg = provider_cfg.unwrap_or(&empty_cfg);\n\n    // 计算代理参数：\n    //   provider_proxy = providers.<name>.proxy（None=未配置，Some(\"\")=强制直连，Some(url)=该provider专用）\n    //   global_proxy   = network.proxy\n    //   no_proxy       = network.no_proxy\n    let provider_proxy = resolved_cfg.proxy.as_deref();\n    let global_proxy = config.network.proxy.as_deref();\n    let no_proxy = &config.network.no_proxy;\n\n    match effective_provider {\n        \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n            &resolved_cfg.api_key,\n            resolved_cfg.api_base.as_deref(),\n            model,\n            max_tokens,\n            temperature,\n            provider_proxy,\n            global_proxy,\n            no_proxy,\n        )?) as Box<dyn Provider>),\n        \"ollama\" => {\n            let api_base = resolved_cfg\n                .api_base\n                .as_deref()\n                .or(Some(\"http://localhost:11434\"));\n            Ok(Box::new(OllamaProvider::new_with_proxy(\n                api_base,\n                model,\n                max_tokens,\n                temperature,\n                provider_proxy,\n                global_proxy,\n                no_proxy,\n            )?) as Box<dyn Provider>)\n        }\n        _ => {\n            // 对于自定义 provider 名（非内置），用 api_type 决定使用哪种协议实现\n            match resolved_cfg.api_type.as_str() {\n                \"anthropic\" => Ok(Box::new(AnthropicProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"gemini\" => Ok(Box::new(GeminiProvider::new_with_proxy(\n                    &resolved_cfg.api_key,\n                    resolved_cfg.api_base.as_deref(),\n                    model,\n                    max_tokens,\n                    temperature,\n                    provider_proxy,\n                    global_proxy,\n                    no_proxy,\n                )?) as Box<dyn Provider>),\n                \"ollama\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .or(Some(\"http://localhost:11434\"));\n                    Ok(Box::new(OllamaProvider::new_with_proxy(\n                        api_base,\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                    )?) as Box<dyn Provider>)\n                }\n                \"openai_responses\" => {\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIResponsesProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                    )?) as Box<dyn Provider>)\n                }\n                _ => {\n                    // 默认：OpenAI 兼容（openrouter, openai, deepseek, groq, zhipu, vllm, kimi 等）\n                    let api_base = resolved_cfg\n                        .api_base\n                        .as_deref()\n                        .unwrap_or_else(|| default_api_base(effective_provider));\n                    Ok(Box::new(OpenAIProvider::new_with_proxy(\n                        &resolved_cfg.api_key,\n                        Some(api_base),\n                        model,\n                        max_tokens,\n                        temperature,\n                        provider_proxy,\n                        global_proxy,\n                        no_proxy,\n                        tool_call_mode.unwrap_or(ToolCallMode::Native),\n                        effective_provider,\n                        reasoning_effort,\n                    )?) as Box<dyn Provider>)\n                }\n            }\n        }\n    }\n}\n\n/// 为主对话创建 provider\npub fn create_main_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = &config.agents.defaults.model;\n    let explicit_provider = config.agents.defaults.provider.as_deref();\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n/// 为自进化创建独立的 provider\n/// 优先级：evolutionProvider > evolution_model 前缀 > provider > model 前缀 > fallback\npub fn create_evolution_provider(config: &Config) -> anyhow::Result<Box<dyn Provider>> {\n    let model = config\n        .agents\n        .defaults\n        .evolution_model\n        .as_deref()\n        .unwrap_or(&config.agents.defaults.model);\n\n    // evolution_provider 显式 > 主 provider 显式（作为 evolution fallback）\n    let explicit_provider = config\n        .agents\n        .defaults\n        .evolution_provider\n        .as_deref()\n        .or(config.agents.defaults.provider.as_deref());\n\n    create_provider_with_tool_mode(config, model, explicit_provider, None, None)\n}\n\n#[cfg(test)]\nmod tests {\n    use super::*;\n\n    #[test]\n    fn test_infer_provider_from_model() {\n        assert_eq!(\n            infer_provider_from_model(\"anthropic/claude-sonnet-4\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"claude-3-5-sonnet\"),\n            Some(\"anthropic\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini-3.5-flash\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"gemini/gemini-pro\"),\n            Some(\"gemini\")\n        );\n        assert_eq!(infer_provider_from_model(\"ollama/qwen3.6\"), Some(\"ollama\"));\n        assert_eq!(infer_provider_from_model(\"kimi-k2.6\"), Some(\"kimi\"));\n        assert_eq!(infer_provider_from_model(\"gpt-5.5\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"o4-mini\"), Some(\"openai\"));\n        assert_eq!(infer_provider_from_model(\"grok-4.3\"), Some(\"xai\"));\n        assert_eq!(\n            infer_provider_from_model(\"mistral-medium-2604\"),\n            Some(\"mistral\")\n        );\n        assert_eq!(infer_provider_from_model(\"glm-5.2\"), Some(\"zhipu\"));\n        assert_eq!(infer_provider_from_model(\"qwen3.7-max\"), Some(\"qwen\"));\n        assert_eq!(infer_provider_from_model(\"MiniMax-M3\"), Some(\"minimax\"));\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-ai/DeepSeek-V4-Pro\"),\n            Some(\"siliconflow\")\n        );\n        assert_eq!(\n            infer_provider_from_model(\"deepseek-coder\"),\n            Some(\"deepseek\")\n        );\n        assert_eq!(infer_provider_from_model(\"some-unknown-model\"), None);\n    }\n\n    #[test]\n    fn test_create_provider_explicit_wins() {\n        let mut config = Config::default();\n        // 配置 openai provider\n        config.providers.get_mut(\"openai\").unwrap().api_key = \"sk-test\".to_string();\n        // model 是 anthropic 前缀，但显式指定 openai\n        let result = create_provider(&config, \"anthropic/claude-sonnet-4\", Some(\"openai\"));\n        assert!(result.is_ok(), \"显式 provider 应该覆盖 model 前缀\");\n    }\n\n    #[test]\n    fn test_create_provider_model_prefix() {\n        let mut config = Config::default();\n        config.providers.get_mut(\"anthropic\").unwrap().api_key = \"sk-ant-test\".to_string();\n        let result = create_provider(&config, \"claude-3-5-sonnet\", None);\n        assert!(result.is_ok(), \"model 前缀应该推断 anthropic\");\n    }\n\n    #[test]\n    fn test_create_provider_ollama_no_key_needed() {\n        let config = Config::default();\n        // ollama 不需要 api_key\n        let result = create_provider(&config, \"qwen3.6\", Some(\"ollama\"));\n        assert!(result.is_ok(), \"ollama 不需要 api_key\");\n    }\n\n    #[test]\n    fn test_create_provider_no_config_fails() {\n        let mut config = Config::default();\n        // 清空所有 api_key，并移除 ollama（ollama 不需要 api_key 会被作为 fallback）\n        for p in config.providers.values_mut() {\n            p.api_key = String::new();\n        }\n        config.providers.remove(\"ollama\");\n        let result = create_provider(&config, \"some-unknown-model\", None);\n        assert!(result.is_err(), \"没有任何配置时应报错\");\n    }\n\n    #[test]\n    fn test_create_provider_explicit_missing_fails() {\n        let config = Config::default(); // anthropic key 为空\n        let result = create_provider(&config, \"gpt-5.5\", Some(\"anthropic\"));\n        assert!(result.is_err(), \"显式指定但无 api_key 时应报错\");\n    }\n}\n"}}}}