{"repo": "byted-x/wechat-bot", "files": {"shared/model_catalog.json": {"f83ed3b909121a7ff609c71569ffc99d7a196e6c": {"t": 1785674226.078465, "n": 7225, "h": "0c4d9a5550f53796", "c": "{\n  \"updated_at\": \"2026-03-27\",\n  \"providers\": [\n    {\n      \"id\": \"openai\",\n      \"label\": \"OpenAI\",\n      \"base_url\": \"https://api.openai.com/v1\",\n      \"api_key_url\": \"https://platform.openai.com/api-keys\",\n      \"aliases\": [\"openai\", \"gpt\"],\n      \"default_model\": \"gpt-5.4-mini\",\n      \"models\": [\"gpt-5.4-pro\", \"gpt-5.4\", \"gpt-5.4-mini\", \"gpt-5.4-nano\", \"gpt-5.3-codex\", \"gpt-5\", \"gpt-5-mini\", \"gpt-5-nano\", \"gpt-4.1\", \"gpt-4.1-mini\", \"gpt-4.1-nano\", \"gpt-4o\", \"gpt-4o-mini\"]\n    },\n    {\n      \"id\": \"anthropic\",\n      \"label\": \"Anthropic / Claude\",\n      \"base_url\": \"https://api.anthropic.com/v1\",\n      \"api_key_url\": \"https://platform.claude.com/settings/keys\",\n      \"aliases\": [\"anthropic\", \"claude\"],\n      \"default_model\": \"claude-sonnet-4-0\",\n      \"models\": [\"claude-sonnet-4-6\", \"claude-opus-4-6\", \"claude-haiku-4-5\", \"claude-sonnet-4-5\", \"claude-opus-4-5\", \"claude-sonnet-4-0\", \"claude-opus-4-1\", \"claude-opus-4-0\", \"claude-3-7-sonnet-latest\", \"claude-3-5-haiku-latest\"]\n    },\n    {\n      \"id\": \"google\",\n      \"label\": \"Google / Gemini\",\n      \"base_url\": \"https://generativelanguage.googleapis.com/v1beta/openai\",\n      \"api_key_url\": \"https://aistudio.google.com/apikey\",\n      \"aliases\": [\"google\", \"gemini\", \"vertex\"],\n      \"default_model\": \"gemini-2.5-flash\",\n      \"models\": [\"gemini-3.1-pro-preview\", \"gemini-3-flash-preview\", \"gemini-3.1-flash-lite-preview\", \"gemini-2.5-pro\", \"gemini-2.5-flash\", \"gemini-2.5-flash-lite\"]\n    },\n    {\n      \"id\": \"doubao\",\n      \"label\": \"Doubao (豆包)\",\n      \"base_url\": \"https://ark.cn-beijing.volces.com/api/v3\",\n      \"api_key_url\": \"https://console.volcengine.com/ark\",\n      \"aliases\": [\"doubao\", \"豆包\", \"ark\", \"volc\"],\n      \"default_model\": \"doubao-seed-1.8\",\n      \"models\": [\"doubao-seed-1.8\", \"doubao-seed-2.0-pro\", \"doubao-seed-2.0-lite\", \"doubao-seed-2.0-mini\", \"doubao-seed-code\"]\n    },\n    {\n      \"id\": \"deepseek\",\n      \"label\": \"DeepSeek\",\n      \"base_url\": \"https://api.deepseek.com/v1\",\n      \"api_key_url\": \"https://platform.deepseek.com/api_keys\",\n      \"aliases\": [\"deepseek\"],\n      \"default_model\": \"deepseek-chat\",\n      \"models\": [\"deepseek-chat\", \"deepseek-reasoner\"]\n    },\n    {\n      \"id\": \"qwen\",\n      \"label\": \"Qwen (通义千问)\",\n      \"base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n      \"api_key_url\": \"https://dashscope.console.aliyun.com/apiKey\",\n      \"aliases\": [\"qwen\", \"通义\", \"千问\", \"dashscope\", \"bailian\", \"百炼\"],\n      \"default_model\": \"qwen3.5-plus\",\n      \"models\": [\"qwen3.5-plus\", \"qwen3.5-flash\", \"qwen3-max-2026-01-23\", \"qwen-plus-latest\", \"qwen-turbo-latest\", \"qwen3-coder-next\", \"qwen3-coder-plus\", \"qwen3-coder-flash\"]\n    },\n    {\n      \"id\": \"zhipu\",\n      \"label\": \"Zhipu (智谱)\",\n      \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n      \"api_key_url\": \"https://open.bigmodel.cn/usercenter/apikeys\",\n      \"aliases\": [\"zhipu\", \"glm\", \"智谱\"],\n      \"default_model\": \"glm-5\",\n      \"models\": [\"glm-5\", \"glm-4.7\", \"glm-4.6\", \"glm-4.5-air\"]\n    },\n    {\n      \"id\": \"kimi\",\n      \"label\": \"Kimi (Moonshot)\",\n      \"base_url\": \"https://api.moonshot.cn/v1\",\n      \"api_key_url\": \"https://platform.moonshot.cn/console/api-keys\",\n      \"aliases\": [\"moonshot\", \"kimi\"],\n      \"default_model\": \"kimi-k2-turbo-preview\",\n      \"models\": [\"kimi-for-coding\", \"kimi-k2-turbo-preview\", \"kimi-k2-0905-preview\", \"kimi-k2-thinking-turbo\", \"kimi-thinking-preview\", \"kimi-latest\"]\n    },\n    {\n      \"id\": \"minimax\",\n      \"label\": \"MiniMax\",\n      \"base_url\": \"https://api.minimax.io/v1\",\n      \"api_key_url\": \"https://platform.minimax.io/\",\n      \"aliases\": [\"minimax\", \"minimaxi\"],\n      \"default_model\": \"MiniMax-M2.5\",\n      \"models\": [\"MiniMax-M2.7\", \"MiniMax-M2.7-highspeed\", \"MiniMax-M2.5\", \"MiniMax-M2.5-highspeed\", \"MiniMax-M2.1\", \"MiniMax-M2.1-highspeed\", \"MiniMax-M2\", \"MiniMax-Text-01\"]\n    },\n    {\n      \"id\": \"groq\",\n      \"label\": \"Groq\",\n      \"base_url\": \"https://api.groq.com/openai/v1\",\n      \"api_key_url\": \"https://console.groq.com/keys\",\n      \"aliases\": [\"groq\"],\n      \"default_model\": \"moonshotai/kimi-k2-instruct-0905\",\n      \"models\": [\"moonshotai/kimi-k2-instruct-0905\", \"openai/gpt-oss-120b\", \"openai/gpt-oss-20b\", \"meta-llama/llama-4-scout-17b-16e-instruct\", \"qwen/qwen3-32b\", \"llama-3.3-70b-versatile\"]\n    },\n    {\n      \"id\": \"siliconflow\",\n      \"label\": \"SiliconFlow\",\n      \"base_url\": \"https://api.siliconflow.cn/v1\",\n      \"api_key_url\": \"https://cloud.siliconflow.cn/account/ak\",\n      \"aliases\": [\"siliconflow\", \"silicon\", \"硅基\"],\n      \"default_model\": \"deepseek-ai/DeepSeek-V3.2\",\n      \"models\": [\"deepseek-ai/DeepSeek-V3.2\", \"deepseek-ai/DeepSeek-V3.1\", \"Qwen/Qwen3-Coder-480B-A35B-Instruct\", \"Qwen/Qwen3-Next-80B-A3B-Instruct\", \"zai-org/GLM-4.5\", \"openai/gpt-oss-120b\"]\n    },\n    {\n      \"id\": \"mistral\",\n      \"label\": \"Mistral\",\n      \"base_url\": \"https://api.mistral.ai/v1\",\n      \"api_key_url\": \"https://console.mistral.ai/api-keys/\",\n      \"aliases\": [\"mistral\"],\n      \"default_model\": \"mistral-large-latest\",\n      \"models\": [\"mistral-large-latest\", \"mistral-medium-latest\", \"mistral-small-latest\", \"codestral-latest\", \"devstral-medium-latest\"]\n    },\n    {\n      \"id\": \"perplexity\",\n      \"label\": \"Perplexity\",\n      \"base_url\": \"https://api.perplexity.ai\",\n      \"api_key_url\": \"https://www.perplexity.ai/settings/api\",\n      \"aliases\": [\"perplexity\", \"sonar\"],\n      \"default_model\": \"sonar-pro\",\n      \"models\": [\"sonar\", \"sonar-pro\", \"sonar-reasoning-pro\", \"sonar-deep-research\"]\n    },\n    {\n      \"id\": \"openrouter\",\n      \"label\": \"OpenRouter\",\n      \"base_url\": \"https://openrouter.ai/api/v1\",\n      \"api_key_url\": \"https://openrouter.ai/keys\",\n      \"aliases\": [\"openrouter\"],\n      \"default_model\": \"openrouter/auto\",\n      \"models\": [\"openrouter/auto\", \"anthropic/claude-opus-4.6\", \"anthropic/claude-sonnet-4.6\", \"anthropic/claude-haiku-4.5\", \"google/gemini-3.1-pro-preview\", \"google/gemini-3.1-flash-lite-preview\", \"openai/gpt-5.4\", \"openai/gpt-5.4-pro\", \"deepseek/deepseek-v3.2\", \"minimax/minimax-m2.7\"]\n    },\n    {\n      \"id\": \"together\",\n      \"label\": \"Together\",\n      \"base_url\": \"https://api.together.xyz/v1\",\n      \"api_key_url\": \"https://api.together.xyz/settings/api-keys\",\n      \"aliases\": [\"together\"],\n      \"default_model\": \"moonshotai/Kimi-K2.5\",\n      \"models\": [\"moonshotai/Kimi-K2.5\", \"Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8\", \"deepseek-ai/DeepSeek-V3.1\", \"openai/gpt-oss-120b\", \"meta-llama/Llama-3.3-70B-Instruct-Turbo\"]\n    },\n    {\n      \"id\": \"fireworks\",\n      \"label\": \"Fireworks\",\n      \"base_url\": \"https://api.fireworks.ai/inference/v1\",\n      \"api_key_url\": \"https://fireworks.ai/account/api-keys\",\n      \"aliases\": [\"fireworks\"],\n      \"default_model\": \"accounts/fireworks/models/deepseek-v3p1\",\n      \"models\": [\"accounts/fireworks/models/deepseek-v3p1\", \"accounts/fireworks/models/qwen3-235b-a22b\", \"accounts/fireworks/models/qwen3-coder-480b-a35b-instruct\", \"accounts/fireworks/models/kimi-k2p5\"]\n    },\n    {\n      \"id\": \"ollama\",\n      \"label\": \"Ollama\",\n      \"base_url\": \"http://127.0.0.1:11434/v1\",\n      \"api_key_url\": \"https://ollama.com/\",\n      \"aliases\": [\"ollama\"],\n      \"default_model\": \"qwen3\",\n      \"allow_empty_key\": true,\n      \"models\": [\"qwen3\", \"llama3.1\", \"gemma3\", \"mistral\"]\n    }\n  ]\n}\n"}}, "backend/model_catalog.py": {"f83ed3b909121a7ff609c71569ffc99d7a196e6c": {"t": 1785674230.016874, "n": 26803, "h": "2c667b1aa59e1f58", "c": "\"\"\"Centralized provider and model catalog for shared config consumers.\"\"\"\n\nfrom __future__ import annotations\n\nfrom copy import deepcopy\nfrom typing import Any, Dict, Optional\n\nfrom backend.shared_config import get_model_catalog_path, load_model_catalog\n\n_MODEL_CATALOG_CACHE_SIGNATURE: tuple[int, int] | None = None\n_MODEL_CATALOG_CACHE_PAYLOAD: Dict[str, Any] | None = None\n_PROVIDER_CACHE_SIGNATURE: tuple[int, int] | None = None\n_PROVIDER_CACHE_UPDATED_AT: Any = None\n_PROVIDER_CACHE: list[Dict[str, Any]] | None = None\n_PROVIDER_BY_ID_CACHE: Dict[str, Dict[str, Any]] | None = None\n\n_PROVIDER_ID_ALIASES = {\n    \"claude\": \"anthropic\",\n    \"bailian\": \"qwen\",\n    \"dashscope\": \"qwen\",\n    \"moonshot\": \"kimi\",\n}\n\n_EXTRA_PROVIDERS: list[Dict[str, Any]] = [\n    {\n        \"id\": \"qwen\",\n        \"label\": \"Qwen (閫氫箟鍗冮棶)\",\n        \"base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n        \"api_key_url\": \"https://dashscope.console.aliyun.com/apiKey\",\n        \"aliases\": [\"qwen\", \"閫氫箟\", \"鍗冮棶\", \"dashscope\", \"bailian\", \"鐧剧偧\"],\n        \"default_model\": \"qwen3.5-plus\",\n        \"models\": [\n            \"qwen3.5-plus\",\n            \"qwen3.5-flash\",\n            \"qwen3-max-2026-01-23\",\n            \"qwen-plus-latest\",\n            \"qwen-turbo-latest\",\n            \"qwen3-coder-next\",\n            \"qwen3-coder-plus\",\n            \"qwen3-coder-flash\",\n            \"MiniMax-M2.5\",\n            \"glm-5\",\n            \"glm-4.7\",\n            \"kimi-k2.5\",\n        ],\n    },\n    {\n        \"id\": \"anthropic\",\n        \"label\": \"Anthropic / Claude\",\n        \"base_url\": \"https://api.anthropic.com/v1\",\n        \"api_key_url\": \"https://platform.claude.com/settings/keys\",\n        \"aliases\": [\"anthropic\", \"claude\"],\n        \"default_model\": \"claude-sonnet-4-0\",\n        \"models\": [\n            \"claude-sonnet-4-6\",\n            \"claude-opus-4-6\",\n            \"claude-haiku-4-5\",\n            \"claude-sonnet-4-5\",\n            \"claude-opus-4-5\",\n            \"claude-sonnet-4-0\",\n            \"claude-opus-4-1\",\n            \"claude-opus-4-0\",\n            \"claude-3-7-sonnet-latest\",\n            \"claude-3-5-haiku-latest\",\n        ],\n    },\n    {\n        \"id\": \"google\",\n        \"label\": \"Google / Gemini CLI\",\n        \"base_url\": \"https://generativelanguage.googleapis.com/v1beta/openai\",\n        \"api_key_url\": \"https://aistudio.google.com/apikey\",\n        \"aliases\": [\"google\", \"gemini\", \"vertex\"],\n        \"default_model\": \"gemini-2.5-flash\",\n        \"models\": [\n            \"gemini-3.1-pro-preview\",\n            \"gemini-3-flash-preview\",\n            \"gemini-3.1-flash-lite-preview\",\n            \"gemini-2.5-pro\",\n            \"gemini-2.5-flash\",\n            \"gemini-2.5-flash-lite\",\n        ],\n    },\n    {\n        \"id\": \"yuanbao\",\n        \"label\": \"Tencent Yuanbao\",\n        \"base_url\": \"\",\n        \"api_key_url\": \"https://yuanbao.tencent.com/\",\n        \"aliases\": [\"yuanbao\", \"腾讯元宝\"],\n        \"default_model\": \"yuanbao-web\",\n        \"models\": [\"yuanbao-web\"],\n    },\n    {\n        \"id\": \"kimi\",\n        \"label\": \"Kimi (Moonshot)\",\n        \"base_url\": \"https://api.moonshot.cn/v1\",\n        \"api_key_url\": \"https://platform.moonshot.cn/console/api-keys\",\n        \"aliases\": [\"moonshot\", \"kimi\"],\n        \"default_model\": \"kimi-k2-turbo-preview\",\n        \"models\": [\n            \"kimi-for-coding\",\n            \"kimi-k2-turbo-preview\",\n            \"kimi-k2-0905-preview\",\n            \"kimi-k2-thinking-turbo\",\n            \"kimi-thinking-preview\",\n            \"kimi-latest\",\n        ],\n    },\n    {\n        \"id\": \"zhipu\",\n        \"label\": \"Zhipu (鏅鸿氨)\",\n        \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n        \"api_key_url\": \"https://open.bigmodel.cn/usercenter/apikeys\",\n        \"aliases\": [\"zhipu\", \"glm\", \"鏅鸿氨\"],\n        \"default_model\": \"glm-5\",\n        \"models\": [\"glm-5\", \"glm-4.7\", \"glm-4.6\", \"glm-4.5-air\"],\n    },\n    {\n        \"id\": \"minimax\",\n        \"label\": \"MiniMax\",\n        \"base_url\": \"https://api.minimax.io/v1\",\n        \"api_key_url\": \"https://platform.minimax.io/\",\n        \"aliases\": [\"minimax\", \"minimaxi\"],\n        \"default_model\": \"MiniMax-M2.5\",\n        \"models\": [\n            \"MiniMax-M2.7\",\n            \"MiniMax-M2.7-highspeed\",\n            \"MiniMax-M2.5\",\n            \"MiniMax-M2.5-highspeed\",\n            \"MiniMax-M2.1\",\n            \"MiniMax-M2.1-highspeed\",\n            \"MiniMax-M2\",\n            \"MiniMax-Text-01\",\n        ],\n    },\n]\n\n_AUTH_METHODS_BY_PROVIDER: Dict[str, list[Dict[str, Any]]] = {\n    \"openai\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.openai.com/v1\",\n                \"recommended_model\": \"gpt-5.4-mini\",\n            },\n        },\n        {\n            \"id\": \"codex_local\",\n            \"type\": \"local_import\",\n            \"provider_id\": \"openai_codex\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.openai.com/v1\",\n                \"recommended_model\": \"gpt-5.4-mini\",\n            },\n        },\n    ],\n    \"qwen\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n                \"recommended_model\": \"qwen3.5-plus\",\n                \"key_env_hint\": \"DASHSCOPE_API_KEY\",\n            },\n        },\n        {\n            \"id\": \"qwen_oauth\",\n            \"type\": \"oauth\",\n            \"provider_id\": \"qwen_oauth\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n                \"recommended_model\": \"qwen3-coder-plus\",\n            },\n        },\n        {\n            \"id\": \"qwen_local\",\n            \"type\": \"local_import\",\n            \"provider_id\": \"qwen_oauth\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n                \"recommended_model\": \"qwen3-coder-plus\",\n            },\n        },\n        {\n            \"id\": \"coding_plan_api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://coding.dashscope.aliyuncs.com/v1\",\n                \"recommended_model\": \"qwen3-coder-next\",\n                \"key_env_hint\": \"BAILIAN_CODING_PLAN_API_KEY\",\n                \"key_prefix_hint\": \"sk-sp-\",\n                \"subscription\": True,\n            },\n        },\n    ],\n    \"google\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://generativelanguage.googleapis.com/v1beta/openai\",\n                \"recommended_model\": \"gemini-2.5-flash\",\n            },\n        },\n        {\n            \"id\": \"google_oauth\",\n            \"type\": \"oauth\",\n            \"provider_id\": \"google_gemini_cli\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [\"oauth_project_id\"],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://generativelanguage.googleapis.com/v1beta/openai\",\n                \"recommended_model\": \"gemini-2.5-flash\",\n            },\n        },\n        {\n            \"id\": \"gemini_cli_local\",\n            \"type\": \"local_import\",\n            \"provider_id\": \"google_gemini_cli\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [\"oauth_project_id\"],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://generativelanguage.googleapis.com/v1beta/openai\",\n                \"recommended_model\": \"gemini-2.5-flash\",\n            },\n        }\n    ],\n    \"anthropic\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.anthropic.com/v1\",\n                \"recommended_model\": \"claude-sonnet-4-0\",\n            },\n        },\n        {\n            \"id\": \"claude_code_local\",\n            \"type\": \"local_import\",\n            \"provider_id\": \"claude_code_local\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.anthropic.com/v1\",\n                \"recommended_model\": \"claude-sonnet-4-0\",\n            },\n        },\n        {\n            \"id\": \"claude_code_oauth\",\n            \"type\": \"oauth\",\n            \"provider_id\": \"claude_code_local\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.anthropic.com/v1\",\n                \"recommended_model\": \"claude-sonnet-4-0\",\n            },\n        },\n        {\n            \"id\": \"claude_vertex_local\",\n            \"type\": \"local_import\",\n            \"provider_id\": \"claude_vertex_local\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [\"oauth_project_id\", \"oauth_location\"],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://global-aiplatform.googleapis.com/v1/projects/{project}/locations/global/publishers/anthropic/models\",\n                \"recommended_model\": \"claude-sonnet-4-6\",\n            },\n        },\n    ],\n    \"kimi\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.moonshot.cn/v1\",\n                \"recommended_model\": \"kimi-k2-turbo-preview\",\n            },\n        },\n        {\n            \"id\": \"kimi_code_oauth\",\n            \"type\": \"oauth\",\n            \"provider_id\": \"kimi_code_local\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.kimi.com/coding/v1\",\n                \"recommended_model\": \"kimi-for-coding\",\n            },\n        },\n        {\n            \"id\": \"kimi_code_local\",\n            \"type\": \"local_import\",\n            \"provider_id\": \"kimi_code_local\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": True,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.kimi.com/coding/v1\",\n                \"recommended_model\": \"kimi-for-coding\",\n            },\n        },\n        {\n            \"id\": \"coding_plan_api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.kimi.com/coding/v1\",\n                \"recommended_model\": \"kimi-for-coding\",\n                \"key_env_hint\": \"KIMI_API_KEY\",\n            },\n        },\n    ],\n    \"zhipu\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n                \"recommended_model\": \"glm-5\",\n            },\n        },\n        {\n            \"id\": \"coding_plan_api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://open.bigmodel.cn/api/coding/paas/v4\",\n                \"recommended_model\": \"glm-5\",\n                \"subscription\": True,\n            },\n        },\n    ],\n    \"minimax\": [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.minimax.io/v1\",\n                \"recommended_model\": \"MiniMax-M2.5\",\n            },\n        },\n        {\n            \"id\": \"coding_plan_api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"metadata\": {\n                \"recommended_base_url\": \"https://api.minimax.io/v1\",\n                \"recommended_model\": \"MiniMax-M2.5\",\n                \"regional_base_urls\": [\n                    \"https://api.minimax.io/v1\",\n                    \"https://api.minimaxi.com/v1\",\n                    \"https://api.minimax.io/anthropic\",\n                    \"https://api.minimaxi.com/anthropic\",\n                ],\n                \"key_env_hint\": \"MINIMAX_API_KEY\",\n                \"subscription\": True,\n            },\n        },\n    ],\n    \"yuanbao\": [\n        {\n            \"id\": \"yuanbao_web_session\",\n            \"type\": \"web_session\",\n            \"provider_id\": \"tencent_yuanbao\",\n            \"tier\": \"experimental\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": True,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n            \"runtime_supported\": False,\n        }\n    ],\n}\n\n\ndef _canonicalize_provider_id(provider_id: Any) -> str:\n    normalized = str(provider_id or \"\").strip().lower()\n    if not normalized:\n        return \"\"\n    return _PROVIDER_ID_ALIASES.get(normalized, normalized)\n\n\ndef _normalize_provider(provider: Dict[str, Any]) -> Dict[str, Any]:\n    normalized = dict(provider or {})\n    canonical_id = _canonicalize_provider_id(normalized.get(\"id\"))\n    if not canonical_id:\n        return normalized\n    raw_id = str(normalized.get(\"id\") or \"\").strip().lower()\n    aliases = [str(item).strip() for item in normalized.get(\"aliases\") or [] if str(item).strip()]\n    lowered_aliases = {item.lower() for item in aliases}\n    if raw_id and raw_id != canonical_id and raw_id not in lowered_aliases:\n        aliases.append(raw_id)\n    normalized[\"id\"] = canonical_id\n    if aliases:\n        normalized[\"aliases\"] = aliases\n    return normalized\n\n\ndef _build_auth_methods(provider: Dict[str, Any]) -> list[Dict[str, Any]]:\n    provider_id = _canonicalize_provider_id(provider.get(\"id\"))\n    if provider_id in _AUTH_METHODS_BY_PROVIDER:\n        return deepcopy(_AUTH_METHODS_BY_PROVIDER[provider_id])\n    return [\n        {\n            \"id\": \"api_key\",\n            \"type\": \"api_key\",\n            \"tier\": \"stable\",\n            \"supports_local_reuse\": False,\n            \"requires_browser_flow\": False,\n            \"requires_fields\": [],\n            \"requires_extra_fields\": [],\n        }\n    ]\n\n\ndef _merge_text_list(*groups: Any) -> list[str]:\n    merged: list[str] = []\n    seen: set[str] = set()\n    for group in groups:\n        for item in group or []:\n            value = str(item or \"\").strip()\n            if not value:\n                continue\n            lowered = value.lower()\n            if lowered in seen:\n                continue\n            seen.add(lowered)\n            merged.append(value)\n    return merged\n\n\ndef _merge_auth_methods(existing: Any, fallback: Any) -> list[Dict[str, Any]]:\n    merged: list[Dict[str, Any]] = []\n    index_by_id: dict[str, int] = {}\n    for item in existing or []:\n        if not isinstance(item, dict):\n            continue\n        method = deepcopy(item)\n        method_id = str(method.get(\"id\") or \"\").strip()\n        if not method_id or method_id in index_by_id:\n            continue\n        index_by_id[method_id] = len(merged)\n        merged.append(method)\n    for item in fallback or []:\n        if not isinstance(item, dict):\n            continue\n        method = deepcopy(item)\n        method_id = str(method.get(\"id\") or \"\").strip()\n        if not method_id:\n            continue\n        if method_id not in index_by_id:\n            index_by_id[method_id] = len(merged)\n            merged.append(method)\n            continue\n        current = merged[index_by_id[method_id]]\n        for key, value in method.items():\n            current_value = current.get(key)\n            if current_value in (None, \"\"):\n                current[key] = deepcopy(value)\n                continue\n            if isinstance(current_value, list) and not current_value:\n                current[key] = deepcopy(value)\n    return merged\n\n\ndef _merge_provider(provider: Dict[str, Any], fallback: Dict[str, Any]) -> Dict[str, Any]:\n    merged = deepcopy(provider)\n    normalized_fallback = _normalize_provider(fallback)\n    merged[\"id\"] = _canonicalize_provider_id(merged.get(\"id\") or normalized_fallback.get(\"id\"))\n    for field in (\"label\", \"base_url\", \"api_key_url\", \"default_model\"):\n        if not str(merged.get(field) or \"\").strip() and str(normalized_fallback.get(field) or \"\").strip():\n            merged[field] = normalized_fallback[field]\n    if \"allow_empty_key\" not in merged and \"allow_empty_key\" in normalized_fallback:\n        merged[\"allow_empty_key\"] = bool(normalized_fallback.get(\"allow_empty_key\"))\n    aliases = _merge_text_list(merged.get(\"aliases\"), normalized_fallback.get(\"aliases\"))\n    if aliases:\n        merged[\"aliases\"] = aliases\n    models = _merge_text_list(merged.get(\"models\"), normalized_fallback.get(\"models\"))\n    if models:\n        merged[\"models\"] = models\n    fallback_auth_methods = normalized_fallback.get(\"auth_methods\") or _build_auth_methods(normalized_fallback)\n    merged[\"auth_methods\"] = _merge_auth_methods(merged.get(\"auth_methods\"), fallback_auth_methods)\n    return merged\n\n\ndef get_model_catalog_signature() -> tuple[int, int] | None:\n    try:\n        stat = get_model_catalog_path().stat()\n    except OSError:\n        return None\n    return (int(stat.st_mtime_ns), int(stat.st_size))\n\n\ndef _catalog_payload() -> Dict[str, Any]:\n    global _MODEL_CATALOG_CACHE_SIGNATURE, _MODEL_CATALOG_CACHE_PAYLOAD\n\n    signature = get_model_catalog_signature()\n    if _MODEL_CATALOG_CACHE_PAYLOAD is None or signature != _MODEL_CATALOG_CACHE_SIGNATURE:\n        _MODEL_CATALOG_CACHE_PAYLOAD = load_model_catalog()\n        _MODEL_CATALOG_CACHE_SIGNATURE = signature\n    return _MODEL_CATALOG_CACHE_PAYLOAD or {}\n\n\ndef _build_provider_cache() -> tuple[list[Dict[str, Any]], Dict[str, Dict[str, Any]], Any]:\n    payload = _catalog_payload()\n    providers = [_normalize_provider(item) for item in payload.get(\"providers\") or [] if isinstance(item, dict)]\n    index_by_id = {\n        _canonicalize_provider_id(item.get(\"id\")): index\n        for index, item in enumerate(providers)\n        if _canonicalize_provider_id(item.get(\"id\"))\n    }\n    for extra in _EXTRA_PROVIDERS:\n        extra_id = _canonicalize_provider_id(extra.get(\"id\"))\n        normalized_extra = _normalize_provider(extra)\n        if extra_id in index_by_id:\n            providers[index_by_id[extra_id]] = _merge_provider(providers[index_by_id[extra_id]], normalized_extra)\n            continue\n        providers.append(_merge_provider(normalized_extra, normalized_extra))\n        index_by_id[extra_id] = len(providers) - 1\n    for index, provider in enumerate(providers):\n        providers[index] = _merge_provider(provider, provider)\n    providers_by_id = {\n        _canonicalize_provider_id(provider.get(\"id\")): provider\n        for provider in providers\n        if _canonicalize_provider_id(provider.get(\"id\"))\n    }\n    return providers, providers_by_id, payload.get(\"updated_at\")\n\n\ndef _providers() -> list[Dict[str, Any]]:\n    global _PROVIDER_CACHE_SIGNATURE, _PROVIDER_CACHE_UPDATED_AT, _PROVIDER_CACHE, _PROVIDER_BY_ID_CACHE\n\n    signature = get_model_catalog_signature()\n    if _PROVIDER_CACHE is None or signature != _PROVIDER_CACHE_SIGNATURE:\n        providers, providers_by_id, updated_at = _build_provider_cache()\n        _PROVIDER_CACHE = providers\n        _PROVIDER_BY_ID_CACHE = providers_by_id\n        _PROVIDER_CACHE_UPDATED_AT = updated_at\n        _PROVIDER_CACHE_SIGNATURE = signature\n    return _PROVIDER_CACHE or []\n\n\ndef _providers_by_id() -> Dict[str, Dict[str, Any]]:\n    _providers()\n    return _PROVIDER_BY_ID_CACHE or {}\n\n\ndef _catalog_updated_at() -> Any:\n    _providers()\n    return _PROVIDER_CACHE_UPDATED_AT\n\n\ndef get_model_catalog() -> Dict[str, Any]:\n    return {\n        \"updated_at\": _catalog_updated_at(),\n        \"providers\": deepcopy(_providers()),\n    }\n\n\ndef get_provider_by_id(provider_id: Optional[str]) -> Optional[Dict[str, Any]]:\n    wanted = _canonicalize_provider_id(provider_id)\n    if not wanted:\n        return None\n    provider = _providers_by_id().get(wanted)\n    if provider is None:\n        return None\n    return deepcopy(provider)\n\n\ndef infer_provider_id(\n    *,\n    provider_id: Optional[str] = None,\n    preset_name: Optional[str] = None,\n    base_url: Optional[str] = None,\n    model: Optional[str] = None,\n) -> Optional[str]:\n    if provider_id:\n        provider = get_provider_by_id(provider_id)\n        if provider:\n            return str(provider.get(\"id\") or \"\")\n\n    lower_name = str(preset_name or \"\").strip().lower()\n    lower_base_url = str(base_url or \"\").strip().lower()\n    lower_model = str(model or \"\").strip().lower()\n\n    for provider in _providers():\n        provider_id_value = _canonicalize_provider_id(provider.get(\"id\"))\n        provider_base_url = str(provider.get(\"base_url\") or \"\").strip().lower()\n        if lower_base_url and provider_base_url and lower_base_url.startswith(provider_base_url):\n            return provider_id_value\n        if provider_id_value == \"qwen\" and lower_base_url:\n            if \"dashscope.aliyuncs.com\" in lower_base_url:\n                return provider_id_value\n        if provider_id_value == \"anthropic\" and lower_base_url:\n            if \"aiplatform.googleapis.com\" in lower_base_url and (\n                \"/publishers/anthropic/\" in lower_base_url or \"claude\" in lower_model or \"claude\" in lower_name\n            ):\n                return provider_id_value\n        if provider_id_value == \"google\" and lower_base_url:\n            if lower_base_url.startswith(\"https://aiplatform.googleapis.com/\") or \"aiplatform.googleapis.com\" in lower_base_url:\n                return provider_id_value\n        if provider_id_value == \"zhipu\" and lower_base_url:\n            if lower_base_url.startswith(\"https://open.bigmodel.cn/\") or \"open.bigmodel.cn\" in lower_base_url:\n                return provider_id_value\n        if provider_id_value == \"minimax\" and lower_base_url:\n            if (\n                lower_base_url.startswith(\"https://api.minimax.io/\")\n                or \"api.minimax.io\" in lower_base_url\n                or lower_base_url.startswith(\"https://api.minimaxi.com/\")\n                or \"api.minimaxi.com\" in lower_base_url\n            ):\n                return provider_id_value\n\n    for provider in _providers():\n        provider_id_value = _canonicalize_provider_id(provider.get(\"id\"))\n\n        aliases = [str(alias).strip().lower() for alias in provider.get(\"aliases\") or [] if alias]\n        if lower_name and any(alias in lower_name for alias in aliases):\n            return provider_id_value\n        if lower_model and any(alias in lower_model for alias in aliases):\n            return provider_id_value\n\n        models = {str(item).strip().lower() for item in provider.get(\"models\") or [] if item}\n        if lower_model and lower_model in models:\n            return provider_id_value\n\n    return None\n\n\ndef merge_provider_defaults(preset: Dict[str, Any]) -> Dict[str, Any]:\n    merged = dict(preset or {})\n    provider_id = infer_provider_id(\n        provider_id=merged.get(\"provider_id\"),\n        preset_name=merged.get(\"name\"),\n        base_url=merged.get(\"base_url\"),\n        model=merged.get(\"model\"),\n    )\n    if not provider_id:\n        return merged\n\n    provider = get_provider_by_id(provider_id)\n    if not provider:\n        return merged\n\n    merged[\"provider_id\"] = provider_id\n    merged.setdefault(\"base_url\", provider.get(\"base_url\"))\n    merged.setdefault(\"allow_empty_key\", bool(provider.get(\"allow_empty_key\", False)))\n    merged.setdefault(\"model\", provider.get(\"default_model\"))\n    merged.setdefault(\"auth_methods\", deepcopy(provider.get(\"auth_methods\") or _build_auth_methods(provider)))\n    return merged\n"}}, "src/main/shared-config.js": {"f83ed3b909121a7ff609c71569ffc99d7a196e6c": {"t": 1785674230.21401, "n": 35606, "h": "9bcd06c0f065646f", "c": "const fs = require('fs');\nconst { decodeBufferText } = require('./text-codec');\n\nconst PROVIDER_ID_ALIASES = {\n    claude: 'anthropic',\n    bailian: 'qwen',\n    dashscope: 'qwen',\n    moonshot: 'kimi',\n};\n\nconst EXTRA_MODEL_PROVIDERS = [\n    {\n        id: 'qwen',\n        label: 'Qwen',\n        base_url: 'https://dashscope.aliyuncs.com/compatible-mode/v1',\n        api_key_url: 'https://dashscope.console.aliyun.com/apiKey',\n        aliases: ['qwen', 'dashscope', 'bailian'],\n        default_model: 'qwen3.5-plus',\n        models: ['qwen3.5-plus', 'qwen3.5-flash', 'qwen3-max-2026-01-23', 'qwen-plus-latest', 'qwen-turbo-latest', 'qwen3-coder-next', 'qwen3-coder-plus', 'qwen3-coder-flash', 'MiniMax-M2.5', 'glm-5', 'glm-4.7', 'kimi-k2.5'],\n    },\n    {\n        id: 'anthropic',\n        label: 'Anthropic / Claude',\n        base_url: 'https://api.anthropic.com/v1',\n        api_key_url: 'https://platform.claude.com/settings/keys',\n        aliases: ['anthropic', 'claude'],\n        default_model: 'claude-sonnet-4-0',\n        models: ['claude-sonnet-4-6', 'claude-opus-4-6', 'claude-haiku-4-5', 'claude-sonnet-4-5', 'claude-opus-4-5', 'claude-sonnet-4-0', 'claude-opus-4-1', 'claude-opus-4-0', 'claude-3-7-sonnet-latest', 'claude-3-5-haiku-latest'],\n    },\n    {\n        id: 'google',\n        label: 'Google / Gemini CLI',\n        base_url: 'https://generativelanguage.googleapis.com/v1beta/openai',\n        api_key_url: 'https://aistudio.google.com/apikey',\n        aliases: ['google', 'gemini', 'vertex'],\n        default_model: 'gemini-2.5-flash',\n        models: ['gemini-3.1-pro-preview', 'gemini-3-flash-preview', 'gemini-3.1-flash-lite-preview', 'gemini-2.5-pro', 'gemini-2.5-flash', 'gemini-2.5-flash-lite'],\n    },\n    {\n        id: 'yuanbao',\n        label: 'Tencent Yuanbao',\n        base_url: '',\n        api_key_url: 'https://yuanbao.tencent.com/',\n        aliases: ['yuanbao', '腾讯元宝'],\n        default_model: 'yuanbao-web',\n        models: ['yuanbao-web'],\n    },\n    {\n        id: 'kimi',\n        label: 'Kimi / Moonshot',\n        base_url: 'https://api.moonshot.cn/v1',\n        api_key_url: 'https://platform.moonshot.cn/console/api-keys',\n        aliases: ['moonshot', 'kimi'],\n        default_model: 'kimi-k2-turbo-preview',\n        models: ['kimi-for-coding', 'kimi-k2-turbo-preview', 'kimi-k2-0905-preview', 'kimi-k2-thinking-turbo', 'kimi-thinking-preview', 'kimi-latest'],\n    },\n    {\n        id: 'zhipu',\n        label: 'Zhipu',\n        base_url: 'https://open.bigmodel.cn/api/paas/v4',\n        api_key_url: 'https://open.bigmodel.cn/usercenter/apikeys',\n        aliases: ['zhipu', 'glm'],\n        default_model: 'glm-5',\n        models: ['glm-5', 'glm-4.7', 'glm-4.6', 'glm-4.5-air'],\n    },\n    {\n        id: 'minimax',\n        label: 'MiniMax',\n        base_url: 'https://api.minimax.io/v1',\n        api_key_url: 'https://platform.minimax.io/',\n        aliases: ['minimax', 'minimaxi'],\n        default_model: 'MiniMax-M2.5',\n        models: ['MiniMax-M2.7', 'MiniMax-M2.7-highspeed', 'MiniMax-M2.5', 'MiniMax-M2.5-highspeed', 'MiniMax-M2.1', 'MiniMax-M2.1-highspeed', 'MiniMax-M2', 'MiniMax-Text-01'],\n    },\n];\n\nconst AUTH_METHODS_BY_PROVIDER = {\n    openai: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.openai.com/v1', recommended_model: 'gpt-5.4-mini' } },\n        { id: 'codex_local', type: 'local_import', provider_id: 'openai_codex', tier: 'stable', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.openai.com/v1', recommended_model: 'gpt-5.4-mini' } },\n    ],\n    qwen: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://dashscope.aliyuncs.com/compatible-mode/v1', recommended_model: 'qwen3.5-plus', key_env_hint: 'DASHSCOPE_API_KEY' } },\n        { id: 'qwen_oauth', type: 'oauth', provider_id: 'qwen_oauth', tier: 'stable', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://dashscope.aliyuncs.com/compatible-mode/v1', recommended_model: 'qwen3-coder-plus' } },\n        { id: 'qwen_local', type: 'local_import', provider_id: 'qwen_oauth', tier: 'stable', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://dashscope.aliyuncs.com/compatible-mode/v1', recommended_model: 'qwen3-coder-plus' } },\n        { id: 'coding_plan_api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://coding.dashscope.aliyuncs.com/v1', recommended_model: 'qwen3-coder-next', key_env_hint: 'BAILIAN_CODING_PLAN_API_KEY', key_prefix_hint: 'sk-sp-', subscription: true } },\n    ],\n    google: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://generativelanguage.googleapis.com/v1beta/openai', recommended_model: 'gemini-2.5-flash' } },\n        { id: 'google_oauth', type: 'oauth', provider_id: 'google_gemini_cli', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: ['oauth_project_id'], requires_extra_fields: [], metadata: { recommended_base_url: 'https://generativelanguage.googleapis.com/v1beta/openai', recommended_model: 'gemini-2.5-flash' } },\n        { id: 'gemini_cli_local', type: 'local_import', provider_id: 'google_gemini_cli', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: ['oauth_project_id'], requires_extra_fields: [], metadata: { recommended_base_url: 'https://generativelanguage.googleapis.com/v1beta/openai', recommended_model: 'gemini-2.5-flash' } },\n    ],\n    anthropic: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.anthropic.com/v1', recommended_model: 'claude-sonnet-4-0' } },\n        { id: 'claude_code_local', type: 'local_import', provider_id: 'claude_code_local', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.anthropic.com/v1', recommended_model: 'claude-sonnet-4-0' } },\n        { id: 'claude_code_oauth', type: 'oauth', provider_id: 'claude_code_local', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.anthropic.com/v1', recommended_model: 'claude-sonnet-4-0' } },\n        { id: 'claude_vertex_local', type: 'local_import', provider_id: 'claude_vertex_local', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: ['oauth_project_id', 'oauth_location'], requires_extra_fields: [], metadata: { recommended_base_url: 'https://global-aiplatform.googleapis.com/v1/projects/{project}/locations/global/publishers/anthropic/models', recommended_model: 'claude-sonnet-4-6' } },\n    ],\n    kimi: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.moonshot.cn/v1', recommended_model: 'kimi-k2-turbo-preview' } },\n        { id: 'kimi_code_oauth', type: 'oauth', provider_id: 'kimi_code_local', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.kimi.com/coding/v1', recommended_model: 'kimi-for-coding' } },\n        { id: 'kimi_code_local', type: 'local_import', provider_id: 'kimi_code_local', tier: 'experimental', supports_local_reuse: true, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.kimi.com/coding/v1', recommended_model: 'kimi-for-coding' } },\n        { id: 'coding_plan_api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.kimi.com/coding/v1', recommended_model: 'kimi-for-coding', key_env_hint: 'KIMI_API_KEY' } },\n    ],\n    zhipu: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://open.bigmodel.cn/api/paas/v4', recommended_model: 'glm-5' } },\n        { id: 'coding_plan_api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://open.bigmodel.cn/api/coding/paas/v4', recommended_model: 'glm-5', subscription: true } },\n    ],\n    minimax: [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.minimax.io/v1', recommended_model: 'MiniMax-M2.5' } },\n        { id: 'coding_plan_api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [], metadata: { recommended_base_url: 'https://api.minimax.io/v1', recommended_model: 'MiniMax-M2.5', regional_base_urls: ['https://api.minimax.io/v1', 'https://api.minimaxi.com/v1', 'https://api.minimax.io/anthropic', 'https://api.minimaxi.com/anthropic'], key_env_hint: 'MINIMAX_API_KEY', subscription: true } },\n    ],\n    yuanbao: [\n        { id: 'yuanbao_web_session', type: 'web_session', provider_id: 'tencent_yuanbao', tier: 'experimental', supports_local_reuse: false, requires_browser_flow: true, requires_fields: [], requires_extra_fields: [], runtime_supported: false },\n    ],\n};\n\nfunction canonicalizeProviderId(providerId) {\n    const normalized = String(providerId || '').trim().toLowerCase();\n    if (!normalized) {\n        return '';\n    }\n    return PROVIDER_ID_ALIASES[normalized] || normalized;\n}\n\nfunction buildAuthMethods(provider = {}) {\n    const providerId = canonicalizeProviderId(provider.id);\n    if (AUTH_METHODS_BY_PROVIDER[providerId]) {\n        return JSON.parse(JSON.stringify(AUTH_METHODS_BY_PROVIDER[providerId]));\n    }\n    return [\n        { id: 'api_key', type: 'api_key', tier: 'stable', supports_local_reuse: false, requires_browser_flow: false, requires_fields: [], requires_extra_fields: [] },\n    ];\n}\n\nfunction mergeTextList(...groups) {\n    const merged = [];\n    const seen = new Set();\n    groups.forEach((group) => {\n        (group || []).forEach((item) => {\n            const value = String(item || '').trim();\n            if (!value) {\n                return;\n            }\n            const lowered = value.toLowerCase();\n            if (seen.has(lowered)) {\n                return;\n            }\n            seen.add(lowered);\n            merged.push(value);\n        });\n    });\n    return merged;\n}\n\nfunction mergeAuthMethods(existingMethods = [], fallbackMethods = []) {\n    const merged = [];\n    const indexById = new Map();\n\n    (existingMethods || []).forEach((item) => {\n        if (!item || typeof item !== 'object') {\n            return;\n        }\n        const method = { ...item };\n        const methodId = String(method.id || '').trim();\n        if (!methodId || indexById.has(methodId)) {\n            return;\n        }\n        indexById.set(methodId, merged.length);\n        merged.push(method);\n    });\n\n    (fallbackMethods || []).forEach((item) => {\n        if (!item || typeof item !== 'object') {\n            return;\n        }\n        const method = { ...item };\n        const methodId = String(method.id || '').trim();\n        if (!methodId) {\n            return;\n        }\n        if (!indexById.has(methodId)) {\n            indexById.set(methodId, merged.length);\n            merged.push(method);\n            return;\n        }\n        const current = merged[indexById.get(methodId)];\n        Object.entries(method).forEach(([key, value]) => {\n            const currentValue = current[key];\n            if (currentValue === undefined || currentValue === null || currentValue === '') {\n                current[key] = Array.isArray(value) ? [...value] : value;\n                return;\n            }\n            if (Array.isArray(currentValue) && !currentValue.length) {\n                current[key] = Array.isArray(value) ? [...value] : value;\n            }\n        });\n    });\n\n    return merged;\n}\n\nfunction mergeProviderDetails(provider = {}, fallback = {}) {\n    const nextProvider = { ...provider };\n    const fallbackProvider = { ...fallback };\n    const canonicalId = canonicalizeProviderId(nextProvider.id || fallbackProvider.id);\n    const rawId = String(nextProvider.id || fallbackProvider.id || '').trim().toLowerCase();\n    ['label', 'base_url', 'api_key_url', 'default_model'].forEach((fieldName) => {\n        if (!String(nextProvider[fieldName] || '').trim() && String(fallbackProvider[fieldName] || '').trim()) {\n            nextProvider[fieldName] = fallbackProvider[fieldName];\n        }\n    });\n    if (nextProvider.allow_empty_key === undefined && fallbackProvider.allow_empty_key !== undefined) {\n        nextProvider.allow_empty_key = !!fallbackProvider.allow_empty_key;\n    }\n    nextProvider.id = canonicalId || rawId;\n    const aliases = mergeTextList(nextProvider.aliases, fallbackProvider.aliases);\n    if (aliases.length) {\n        nextProvider.aliases = aliases;\n    }\n    const models = mergeTextList(nextProvider.models, fallbackProvider.models);\n    if (models.length) {\n        nextProvider.models = models;\n    }\n    const fallbackAuthMethods = Array.isArray(fallbackProvider.auth_methods) && fallbackProvider.auth_methods.length\n        ? fallbackProvider.auth_methods\n        : buildAuthMethods({ id: nextProvider.id });\n    nextProvider.auth_methods = mergeAuthMethods(nextProvider.auth_methods, fallbackAuthMethods);\n    return nextProvider;\n}\n\nfunction enrichModelCatalog(payload = {}) {\n    const providers = Array.isArray(payload.providers)\n        ? payload.providers.map((provider) => mergeProviderDetails(provider))\n        : [];\n    const providerIndexById = new Map(\n        providers\n            .map((provider, index) => [canonicalizeProviderId(provider.id), index])\n            .filter(([providerId]) => providerId),\n    );\n    EXTRA_MODEL_PROVIDERS.forEach((provider) => {\n        const providerId = canonicalizeProviderId(provider.id);\n        const nextProvider = mergeProviderDetails(provider);\n        if (providerIndexById.has(providerId)) {\n            const currentIndex = providerIndexById.get(providerId);\n            providers[currentIndex] = mergeProviderDetails(providers[currentIndex], nextProvider);\n            return;\n        }\n        providerIndexById.set(providerId, providers.length);\n        providers.push(nextProvider);\n    });\n    providers.forEach((provider, index) => {\n        providers[index] = mergeProviderDetails(provider);\n    });\n    return {\n        ...payload,\n        providers,\n    };\n}\n\nfunction flattenPaths(input, prefix = '', output = {}) {\n    if (!input || typeof input !== 'object' || Array.isArray(input)) {\n        if (prefix) {\n            output[prefix] = input;\n        }\n        return output;\n    }\n    const entries = Object.entries(input);\n    if (!entries.length && prefix) {\n        output[prefix] = input;\n        return output;\n    }\n    for (const [key, value] of entries) {\n        const nextPrefix = prefix ? `${prefix}.${key}` : key;\n        if (value && typeof value === 'object' && !Array.isArray(value)) {\n            flattenPaths(value, nextPrefix, output);\n        } else {\n            output[nextPrefix] = value;\n        }\n    }\n    return output;\n}\n\nfunction diffConfigPaths(before = {}, after = {}) {\n    const left = flattenPaths(before);\n    const right = flattenPaths(after);\n    const keys = new Set([...Object.keys(left), ...Object.keys(right)]);\n    return [...keys].filter((key) => JSON.stringify(left[key]) !== JSON.stringify(right[key])).sort();\n}\n\nfunction buildFallbackReloadPlan(changedPaths = []) {\n    const groups = new Map();\n    const resolveEffect = (changedPath) => {\n        if (changedPath.startsWith('api.') || changedPath.startsWith('agent.')) {\n            return ['reinit', 'ai_client', '后端运行后会重建 AI 客户端'];\n        }\n        if (changedPath.startsWith('logging.')) {\n            return ['live', 'logging', '后端运行后会重新应用日志配置'];\n        }\n        if (changedPath.startsWith('services.')) {\n            return ['reinit', 'services', '相关服务会在后端运行后重新读取配置'];\n        }\n        if (changedPath.startsWith('bot.')) {\n            return ['live', 'bot_runtime', '机器人运行后会应用新的运行参数'];\n        }\n        return ['unknown', 'unknown', '未定义明确生效策略，建议结合状态页确认'];\n    };\n\n    changedPaths.forEach((changedPath) => {\n        const [mode, component, note] = resolveEffect(String(changedPath || ''));\n        const key = `${mode}:${component}:${note}`;\n        if (!groups.has(key)) {\n            groups.set(key, { mode, component, note, paths: [] });\n        }\n        groups.get(key).paths.push(changedPath);\n    });\n\n    return Array.from(groups.values()).map((item) => ({\n        ...item,\n        paths: item.paths.sort(),\n    }));\n}\n\nfunction sanitizeApplyError(error) {\n    const rawMessage = String(error?.message || error || 'runtime apply failed').trim();\n    return rawMessage.length > 180 ? `${rawMessage.slice(0, 177)}...` : rawMessage;\n}\n\nasync function applyRuntimeConfigFeedback({\n    backendCheckServer,\n    backendRequestJson,\n    patch,\n    changedPaths,\n    fallbackReloadPlan,\n    consoleImpl,\n}) {\n    if (!changedPaths.length) {\n        return {\n            apply_mode: 'none',\n            reload_plan: [],\n            runtime_apply: null,\n            default_config_synced: true,\n            default_config_sync_message: '共享配置文件 app_config.json 已更新',\n        };\n    }\n\n    let backendAvailable = false;\n    try {\n        backendAvailable = await backendCheckServer();\n    } catch (error) {\n        consoleImpl.warn('[SharedConfigService] backend availability check failed:', error);\n    }\n\n    if (!backendAvailable) {\n        return {\n            apply_mode: 'stopped',\n            reload_plan: fallbackReloadPlan,\n            runtime_apply: null,\n            default_config_synced: true,\n            default_config_sync_message: '共享配置文件 app_config.json 已更新；Python 服务未运行，启动后将读取新配置',\n        };\n    }\n\n    try {\n        const result = await backendRequestJson('POST', '/api/config', patch, 30000);\n        const backendChangedPaths = Array.isArray(result?.changed_paths) ? result.changed_paths : changedPaths;\n        const backendReloadPlan = Array.isArray(result?.reload_plan) && result.reload_plan.length\n            ? result.reload_plan\n            : fallbackReloadPlan;\n        const runtimeApply = result?.runtime_apply || null;\n        let applyMode = 'stopped';\n        if (runtimeApply) {\n            applyMode = runtimeApply.success === false ? 'failed' : 'immediate';\n        } else if (!backendChangedPaths.length) {\n            applyMode = 'none';\n        }\n\n        return {\n            apply_mode: applyMode,\n            changed_paths: backendChangedPaths,\n            reload_plan: backendReloadPlan,\n            runtime_apply: runtimeApply,\n            default_config_synced: result?.default_config_synced !== false,\n            default_config_sync_message: result?.default_config_sync_message\n                || (runtimeApply ? '后端已确认运行时应用结果' : '配置已保存；机器人未运行时会在下次启动生效'),\n        };\n    } catch (error) {\n        consoleImpl.warn('[SharedConfigService] runtime config apply failed:', error);\n        return {\n            apply_mode: 'watcher',\n            reload_plan: fallbackReloadPlan,\n            runtime_apply: {\n                success: false,\n                message: `配置已保存，但运行时热应用确认失败：${sanitizeApplyError(error)}`,\n            },\n            default_config_synced: true,\n            default_config_sync_message: '共享配置文件 app_config.json 已更新；运行中实例将通过配置监听器尝试感知变更',\n        };\n    }\n}\n\nfunction inferProviderId(preset = {}) {\n    const existing = canonicalizeProviderId(preset.provider_id);\n    if (existing) {\n        return existing;\n    }\n    const name = String(preset.name || '').trim().toLowerCase();\n    const baseUrl = String(preset.base_url || '').trim().toLowerCase();\n    const model = String(preset.model || '').trim().toLowerCase();\n    const isMiniMax = name.includes('minimax')\n        || model.includes('minimax')\n        || baseUrl.includes('minimax.io')\n        || baseUrl.includes('minimaxi.com');\n    if (name.includes('ollama') || baseUrl.includes('11434')) return 'ollama';\n    if (name.includes('openai') || baseUrl.includes('openai.com')) return 'openai';\n    if (name.includes('deepseek') || baseUrl.includes('deepseek.com')) return 'deepseek';\n    if (name.includes('qwen') || model.includes('qwen') || baseUrl.includes('dashscope')) return 'qwen';\n    if (name.includes('zhipu') || model.includes('glm') || baseUrl.includes('open.bigmodel.cn')) return 'zhipu';\n    if (isMiniMax) return 'minimax';\n    if (baseUrl.includes('aiplatform.googleapis.com') && (baseUrl.includes('/publishers/anthropic/') || name.includes('claude') || model.includes('claude'))) return 'anthropic';\n    if (name.includes('claude') || model.includes('claude') || baseUrl.includes('anthropic')) return 'anthropic';\n    if (name.includes('gemini') || model.includes('gemini') || baseUrl.includes('generativelanguage') || baseUrl.includes('aiplatform.googleapis.com')) return 'google';\n    if (name.includes('kimi') || name.includes('moonshot') || model.includes('kimi') || baseUrl.includes('moonshot.cn') || baseUrl.includes('api.kimi.com')) return 'kimi';\n    if (name.includes('yuanbao') || model.includes('yuanbao') || baseUrl.includes('yuanbao.tencent.com')) return 'yuanbao';\n    return '';\n}\n\nfunction maskPreset(preset = {}) {\n    const nextPreset = { ...preset };\n    nextPreset.provider_id = inferProviderId(nextPreset);\n    const apiKey = String(nextPreset.api_key || '').trim();\n    const allowEmptyKey = !!nextPreset.allow_empty_key;\n    if (allowEmptyKey) {\n        nextPreset.api_key_configured = false;\n        nextPreset.api_key_masked = '';\n    } else if (apiKey && !apiKey.startsWith('YOUR_')) {\n        nextPreset.api_key_configured = true;\n        nextPreset.api_key_masked = apiKey.length > 12 ? `${apiKey.slice(0, 8)}****${apiKey.slice(-4)}` : '****';\n    } else {\n        nextPreset.api_key_configured = false;\n        nextPreset.api_key_masked = '';\n    }\n    nextPreset.api_key_required = !allowEmptyKey;\n    delete nextPreset.api_key;\n    return nextPreset;\n}\n\nfunction buildRendererConfigPayload(config = {}) {\n    const api = { ...(config.api || {}) };\n    api.presets = Array.isArray(api.presets) ? api.presets.map((preset) => maskPreset(preset)) : [];\n\n    const bot = { ...(config.bot || {}) };\n    delete bot.reply_timeout_fallback_text;\n    delete bot.stream_buffer_chars;\n    delete bot.stream_chunk_max_chars;\n    delete bot.stream_reply;\n\n    const agent = { ...(config.agent || {}) };\n    agent.langsmith_api_key_configured = !!String(agent.langsmith_api_key || '').trim();\n    delete agent.langsmith_api_key;\n    delete agent.streaming_enabled;\n\n    return {\n        api,\n        bot,\n        logging: { ...(config.logging || {}) },\n        agent,\n        services: { ...(config.services || {}) },\n    };\n}\n\nfunction readJsonFile(filePath, fallback = {}) {\n    try {\n        return JSON.parse(fs.readFileSync(filePath, 'utf8'));\n    } catch (_) {\n        return fallback;\n    }\n}\n\nfunction atomicWriteJson(filePath, payload) {\n    const rendered = `${JSON.stringify(payload, null, 2)}\\n`;\n    const tempPath = `${filePath}.tmp`;\n    fs.writeFileSync(tempPath, rendered, 'utf8');\n    fs.renameSync(tempPath, filePath);\n}\n\nfunction createConfigCli({\n    spawn,\n    getBackendCommand,\n    getSharedConfigPath,\n    readJsonFileImpl = readJsonFile,\n    fsModule = fs,\n    decodeBufferImpl = decodeBufferText,\n}) {\n    return {\n        async run(commandArgs, options = {}) {\n            const {\n                stdinPayload = null,\n                timeoutMs = 20000,\n            } = options;\n            const { cmd, args, options: spawnOptions } = getBackendCommand(commandArgs);\n\n            return new Promise((resolve, reject) => {\n                const child = spawn(cmd, args, {\n                    ...spawnOptions,\n                    stdio: ['pipe', 'pipe', 'pipe'],\n                });\n                const stdoutChunks = [];\n                const stderrChunks = [];\n                let settled = false;\n\n                const finish = (error, value) => {\n                    if (settled) {\n                        return;\n                    }\n                    settled = true;\n                    if (timer) {\n                        clearTimeout(timer);\n                    }\n                    if (error) {\n                        reject(error);\n                    } else {\n                        resolve(value);\n                    }\n                };\n\n                const timer = setTimeout(() => {\n                    try {\n                        child.kill('SIGTERM');\n                    } catch (_) {}\n                    finish(new Error(`配置命令执行超时: ${commandArgs.join(' ')}`));\n                }, timeoutMs);\n\n                child.stdout.on('data', (chunk) => stdoutChunks.push(Buffer.from(chunk)));\n                child.stderr.on('data', (chunk) => stderrChunks.push(Buffer.from(chunk)));\n                child.on('error', (error) => finish(error));\n                child.on('exit', (code) => {\n                    const stdout = decodeBufferImpl(Buffer.concat(stdoutChunks)).trim();\n                    const stderr = decodeBufferImpl(Buffer.concat(stderrChunks)).trim();\n                    if (code !== 0) {\n                        finish(new Error(stderr || stdout || `配置命令退出失败 (${code})`));\n                        return;\n                    }\n                    const lines = stdout.split(/\\r?\\n/).map((line) => line.trim()).filter(Boolean);\n                    const jsonLine = [...lines].reverse().find((line) => line.startsWith('{') && line.endsWith('}'));\n                    if (!jsonLine) {\n                        finish(new Error(stdout || '配置命令未返回 JSON 结果'));\n                        return;\n                    }\n                    try {\n                        finish(null, JSON.parse(jsonLine));\n                    } catch (_) {\n                        finish(new Error(`配置命令返回了不可解析 JSON: ${jsonLine}`));\n                    }\n                });\n\n                if (stdinPayload != null) {\n                    child.stdin.write(JSON.stringify(stdinPayload));\n                }\n                child.stdin.end();\n            });\n        },\n\n        async ensureMigrated() {\n            const configPath = getSharedConfigPath();\n            if (fsModule.existsSync(configPath)) {\n                return readJsonFileImpl(configPath, {});\n            }\n            const result = await this.run(['config', 'migrate', '--output', configPath], { timeoutMs: 30000 });\n            return result.config || {};\n        },\n\n        async validate(patch = {}) {\n            await this.ensureMigrated();\n            const useStdin = !!patch && Object.keys(patch).length > 0;\n            const args = ['config', 'validate', '--base-path', getSharedConfigPath()];\n            if (useStdin) {\n                args.push('--stdin');\n            }\n            const result = await this.run(args, {\n                stdinPayload: useStdin ? patch : null,\n                timeoutMs: 30000,\n            });\n            if (!result?.success) {\n                throw new Error(result?.message || '配置校验失败');\n            }\n            return result.config || {};\n        },\n\n        async probe({ patch = null, presetName = '' } = {}) {\n            await this.ensureMigrated();\n            const useStdin = !!patch && Object.keys(patch).length > 0;\n            const args = ['config', 'probe', '--base-path', getSharedConfigPath()];\n            if (useStdin) {\n                args.push('--stdin');\n            }\n            if (presetName) {\n                args.push('--preset-name', presetName);\n            }\n            return this.run(args, {\n                stdinPayload: useStdin ? patch : null,\n                timeoutMs: 15000,\n            });\n        },\n    };\n}\n\nfunction createSharedConfigService({\n    ConfigCli,\n    getSharedConfigPath,\n    getSharedModelCatalogPath,\n    ensureDir,\n    buildRendererConfigPayloadImpl = buildRendererConfigPayload,\n    readJsonFileImpl = readJsonFile,\n    atomicWriteJsonImpl = atomicWriteJson,\n    diffConfigPathsImpl = diffConfigPaths,\n    listWindows,\n    backendCheckServer,\n    backendRequestJson,\n    consoleImpl = console,\n    fsModule = fs,\n}) {\n    return {\n        _cache: null,\n        _watching: false,\n        _writeQueue: Promise.resolve(),\n        _modelCatalogCache: null,\n\n        async ensureLoaded() {\n            if (this._cache) {\n                return this._cache;\n            }\n            await ConfigCli.ensureMigrated();\n            this._cache = readJsonFileImpl(getSharedConfigPath(), {});\n            this._ensureWatcher();\n            return this._cache;\n        },\n\n        _ensureWatcher() {\n            if (this._watching) {\n                return;\n            }\n            const configPath = getSharedConfigPath();\n            fsModule.watchFile(configPath, { interval: 500 }, async (current, previous) => {\n                if (current.mtimeMs === previous.mtimeMs) {\n                    return;\n                }\n                try {\n                    this._cache = readJsonFileImpl(configPath, {});\n                    this.broadcast('external');\n                } catch (error) {\n                    consoleImpl.error('[Config] reload failed:', error);\n                }\n            });\n            this._watching = true;\n        },\n\n        getModelCatalog() {\n            const catalogPath = getSharedModelCatalogPath();\n            try {\n                const stat = fsModule.statSync(catalogPath);\n                if (\n                    this._modelCatalogCache\n                    && this._modelCatalogCache.mtimeMs === stat.mtimeMs\n                ) {\n                    return this._modelCatalogCache.payload;\n                }\n                const payload = enrichModelCatalog(readJsonFileImpl(catalogPath, { providers: [] }));\n                this._modelCatalogCache = {\n                    mtimeMs: stat.mtimeMs,\n                    payload,\n                };\n                return payload;\n            } catch (_) {\n                this._modelCatalogCache = null;\n                return enrichModelCatalog({ providers: [] });\n            }\n        },\n\n        buildPayload(config = {}) {\n            return {\n                success: true,\n                ...buildRendererConfigPayloadImpl(config),\n                modelCatalog: this.getModelCatalog(),\n                configPath: getSharedConfigPath(),\n            };\n        },\n\n        broadcast(source = 'external') {\n            const payload = {\n                ...this.buildPayload(this._cache || {}),\n                source,\n            };\n            for (const win of listWindows()) {\n                if (!win || (typeof win.isDestroyed === 'function' && win.isDestroyed())) {\n                    continue;\n                }\n                try {\n                    win.webContents.send('config:changed', payload);\n                } catch (_) {}\n            }\n        },\n\n        async get() {\n            const config = await this.ensureLoaded();\n            return this.buildPayload(config);\n        },\n\n        async patch(patch = {}) {\n            let response = null;\n            const task = this._writeQueue.catch(() => {}).then(async () => {\n                const previous = JSON.parse(JSON.stringify(await this.ensureLoaded()));\n                const nextConfig = await ConfigCli.validate(patch);\n                const changedPaths = diffConfigPathsImpl(previous, nextConfig);\n                const fallbackReloadPlan = buildFallbackReloadPlan(changedPaths);\n                const configPath = getSharedConfigPath();\n                ensureDir(require('path').dirname(configPath));\n                atomicWriteJsonImpl(configPath, nextConfig);\n                this._cache = nextConfig;\n                const runtimeFeedback = await applyRuntimeConfigFeedback({\n                    backendCheckServer,\n                    backendRequestJson,\n                    patch,\n                    changedPaths,\n                    fallbackReloadPlan,\n                    consoleImpl,\n                });\n                response = {\n                    ...this.buildPayload(nextConfig),\n                    changed_paths: changedPaths,\n                    reload_plan: Array.isArray(runtimeFeedback.reload_plan) ? runtimeFeedback.reload_plan : fallbackReloadPlan,\n                    runtime_apply: runtimeFeedback.runtime_apply || null,\n                    apply_mode: runtimeFeedback.apply_mode || 'unknown',\n                    default_config_synced: runtimeFeedback.default_config_synced !== false,\n                    default_config_sync_message: runtimeFeedback.default_config_sync_message || '共享配置文件 app_config.json 已更新',\n                    message: changedPaths.length ? '配置已保存' : '未检测到配置变更',\n                    save_state: 'saved',\n                };\n            });\n            this._writeQueue = task.then(() => null, () => null);\n            await task;\n            this.broadcast('main_write');\n            return response;\n        },\n\n        async testConnection(options = {}) {\n            const patch = options?.patch && typeof options.patch === 'object' ? options.patch : null;\n            const presetName = String(options?.presetName || '').trim();\n            if (await backendCheckServer()) {\n                try {\n                    return await backendRequestJson(\n                        'POST',\n                        '/api/test_connection',\n                        {\n                            preset_name: presetName || null,\n                            patch,\n                        },\n                        12000,\n                    );\n                } catch (error) {\n                    consoleImpl.warn('[SharedConfigService] live connection test failed, fallback to CLI:', error);\n                }\n            }\n            return ConfigCli.probe({ patch, presetName });\n        },\n\n        async subscribe() {\n            await this.ensureLoaded();\n            this._ensureWatcher();\n            return this.buildPayload(this._cache || {});\n        },\n    };\n}\n\nmodule.exports = {\n    atomicWriteJson,\n    buildRendererConfigPayload,\n    createConfigCli,\n    createSharedConfigService,\n    diffConfigPaths,\n    enrichModelCatalog,\n    inferProviderId,\n    maskPreset,\n    readJsonFile,\n};\n"}}}}