{"repo": "agenticmatrix/free-claude-code", "files": {"config/default_settings.json": {"a06444d6de7882ebc0c76f271e35003582dd6351": {"t": 1785674155.3692315, "n": 3810, "h": "84524127f36e5893", "c": "{\n  \"theme\": \"light\",\n  \"max_tokens\": 32768,\n  \"default_model\": \"deepseek/deepseek-v4-pro\",\n  \"model_list\": [\n    {\n      \"model\": [\n        {\n          \"name\": \"deepseek-v4-pro\",\n          \"price\": {\n            \"input\": 3,\n            \"cache_read_input\": 0.025,\n            \"output\": 6,\n            \"currency\": \"CNY\",\n            \"unit\": 1000000,\n            \"concurrency\": 500,\n            \"max_context\": 1000000\n          }\n        },\n        {\n          \"name\": \"deepseek-v4-flash\",\n          \"price\": {\n            \"input\": 1,\n            \"cache_read_input\": 0.02,\n            \"output\": 2,\n            \"currency\": \"CNY\",\n            \"unit\": 1000000,\n            \"concurrency\": 2500,\n            \"max_context\": 1000000\n          }\n        },\n        \"deepseek-chat\",\n        \"deepseek-reasoner\"\n      ],\n      \"base_url\": \"https://api.deepseek.com/anthropic\",\n      \"auth_token_env\": \"YOUR_DEEPSEEK_API_KEY\",\n      \"provider\": \"deepseek\"\n    },\n    {\n      \"model\": [\n        \"claude-sonnet-2025\",\n        \"opus-4.8\"\n      ],\n      \"base_url\": \"https://api.deepseek.com/anthropic\",\n      \"auth_token_env\": \"YOUR_ANTHROPIC_API_KEY\",\n      \"provider\": \"anthropic\",\n      \"price\": {\n        \"input\": 3,\n        \"output\": 15,\n        \"currency\": \"USD\",\n        \"unit\": \"1M tokens\"\n      }\n    },\n    {\n      \"model\": [\n        \"glm-4-plus\",\n        \"glm-4-flash\",\n        \"glm-4-air\"\n      ],\n      \"base_url\": \"https://open.bigmodel.cn/api/paas/v4\",\n      \"auth_token_env\": \"YOUR_ZHIPU_API_KEY\",\n      \"provider\": \"glm\",\n      \"price\": {\n        \"input\": 0.1,\n        \"output\": 0.1,\n        \"currency\": \"CNY\",\n        \"unit\": \"1K tokens\"\n      }\n    },\n    {\n      \"model\": [\n        \"MiniMax-Text-01\",\n        \"abab7-chat\",\n        \"abab6.5s-chat\"\n      ],\n      \"base_url\": \"https://api.minimax.chat/v1\",\n      \"auth_token_env\": \"YOUR_MINIMAX_API_KEY\",\n      \"provider\": \"minimax\",\n      \"price\": {\n        \"input\": 10,\n        \"output\": 10,\n        \"currency\": \"CNY\",\n        \"unit\": \"1M tokens\"\n      }\n    },\n    {\n      \"model\": [\n        \"local-llama3-70b\",\n        \"local-qwen-32b\",\n        \"local-mistral\"\n      ],\n      \"base_url\": \"http://localhost:8000/v1\",\n      \"auth_token_env\": \"LOCAL_NO_KEY\",\n      \"provider\": \"local\",\n      \"price\": {\n        \"input\": 0,\n        \"output\": 0,\n        \"currency\": \"USD\",\n        \"unit\": \"free\"\n      }\n    },\n    {\n      \"model\": [\n        \"qwen-max\",\n        \"qwen-plus\",\n        \"qwen-turbo\"\n      ],\n      \"base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1\",\n      \"auth_token_env\": \"YOUR_QWEN_API_KEY\",\n      \"provider\": \"qwen\",\n      \"price\": {\n        \"input\": 0.02,\n        \"output\": 0.06,\n        \"currency\": \"CNY\",\n        \"unit\": \"1K tokens\"\n      }\n    },\n    {\n      \"model\": [\n        \"gpt-4-turbo\",\n        \"gpt-4o\",\n        \"gpt-3.5-turbo\"\n      ],\n      \"base_url\": \"https://api.openai.com/v1\",\n      \"auth_token_env\": \"YOUR_OPENAI_API_KEY\",\n      \"provider\": \"openai\",\n      \"price\": {\n        \"input\": 10,\n        \"output\": 30,\n        \"currency\": \"USD\",\n        \"unit\": \"1M tokens\"\n      }\n    },\n    {\n      \"model\": [\n        \"grok-1\",\n        \"grok-beta\",\n        \"grok-vision-beta\"\n      ],\n      \"base_url\": \"https://api.x.ai/v1\",\n      \"auth_token_env\": \"YOUR_GROK_API_KEY\",\n      \"provider\": \"grok\",\n      \"price\": {\n        \"input\": 5,\n        \"output\": 15,\n        \"currency\": \"USD\",\n        \"unit\": \"1M tokens\"\n      }\n    },\n    {\n      \"model\": [\n        \"gemini-1.5-pro\",\n        \"gemini-1.5-flash\",\n        \"gemini-1.0-pro\"\n      ],\n      \"base_url\": \"https://generativelanguage.googleapis.com/v1\",\n      \"auth_token_env\": \"YOUR_GOOGLE_API_KEY\",\n      \"provider\": \"google\",\n      \"price\": {\n        \"input\": 3.5,\n        \"output\": 10.5,\n        \"currency\": \"USD\",\n        \"unit\": \"1M tokens\"\n      }\n    }\n  ]\n}\n"}}, "src/cli/config.ts": {"a06444d6de7882ebc0c76f271e35003582dd6351": {"t": 1785746050.035061, "n": 6986, "h": "77c06f80fba2b92d", "c": "import { existsSync, mkdirSync, readFileSync, copyFileSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join, dirname } from 'node:path';\nimport { fileURLToPath } from 'node:url';\n\nimport type { AppConfig } from '../types.js';\n\n// ---------------------------------------------------------------------------\n// Settings types — matches ~/.coder/settings.json format\n// ---------------------------------------------------------------------------\n\nexport interface ModelPrice {\n  input: number;\n  output: number;\n  cache_read_input?: number;\n  currency?: string;\n  unit?: number;\n  concurrency?: number;\n  max_context?: number;\n}\n\nexport interface ModelItem {\n  name: string;\n  price?: ModelPrice;\n}\n\nexport interface ModelEntry {\n  /** List of model IDs available for this provider — strings or {name, price} objects */\n  model: Array<string | ModelItem>;\n  /** Provider endpoint URL */\n  base_url?: string;\n  /** API key / auth token */\n  auth_token_env?: string;\n  /** HTTP/HTTPS proxy URL */\n  proxy?: string;\n  /** Maximum output tokens for this provider */\n  max_tokens?: number;\n  /** Provider identifier (anthropic, deepseek, openai, etc.) */\n  provider?: string;\n}\n\nexport interface CoderSettings {\n  env?: Record<string, string>;\n  model_list?: ModelEntry[];\n  /** Format: \"provider/model-name\" (e.g. \"deepseek/deepseek-v4-pro\") */\n  default_model?: string;\n  /** Global max output tokens (default: 32768) */\n  max_tokens?: number;\n  /** UI theme (dark / light) */\n  theme?: string;\n  /** Max concurrent tool executions (default: 32, range: 1-256). */\n  max_tool_concurrency?: number;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\nexport function inferProvider(model: string): string {\n  const lower = model.toLowerCase();\n  if (lower.includes('deepseek')) return 'deepseek';\n  if (lower.includes('openai') || lower.includes('gpt') || lower.includes('o1') || lower.includes('o3') || lower.includes('o4')) return 'openai';\n  return 'anthropic';\n}\n\nexport function loadSettings(): CoderSettings {\n  const settingsDir = join(homedir(), '.coder');\n  const settingsPath = join(settingsDir, 'settings.json');\n\n  if (!existsSync(settingsPath)) {\n    // Copy default settings on first install\n    const defaultSettingsPath = join(\n      dirname(fileURLToPath(import.meta.url)),\n      '..', '..', 'config', 'default_settings.json',\n    );\n    if (existsSync(defaultSettingsPath)) {\n      mkdirSync(settingsDir, { recursive: true });\n      copyFileSync(defaultSettingsPath, settingsPath);\n    }\n  }\n\n  try {\n    const raw = readFileSync(settingsPath, 'utf-8');\n    return JSON.parse(raw) as CoderSettings;\n  } catch {\n    return {};\n  }\n}\n\n/** Resolve max tool concurrency from settings, with bounds checking. */\nexport function getMaxToolConcurrency(settings?: CoderSettings): number {\n  const val = settings?.max_tool_concurrency;\n  if (typeof val === 'number' && val >= 1 && val <= 256) return val;\n  return 32;\n}\n\n// ---------------------------------------------------------------------------\n// Model resolution — matches KodeAgent priority:\n//   1. CODER_MODEL env var (highest)\n//   2. default_model parsed as \"provider/model-name\", looked up in model_list\n//   3. First entry in model_list\n//   4. Legacy env vars in settings.env\n// ---------------------------------------------------------------------------\n\nfunction resolveModel(settings: CoderSettings): {\n  model: string;\n  baseUrl: string;\n  apiKey: string;\n  proxy?: string;\n  maxTokens?: number;\n  provider: string;\n  currency?: string;\n  inputPrice?: number;\n  outputPrice?: number;\n  cacheReadPrice?: number;\n  maxContext?: number;\n} {\n  const parseDefault = (raw: string) => {\n    const parts = raw.split('/');\n    return { providerName: parts[0]!, modelName: parts.length > 1 ? parts[1] : undefined };\n  };\n\n  const modelName = (m: string | ModelItem): string =>\n    typeof m === 'string' ? m : m.name;\n\n  const modelPrice = (m: string | ModelItem): ModelPrice | undefined =>\n    typeof m === 'string' ? undefined : m.price;\n\n  const resolveFromEntry = (entry: ModelEntry, preferredModel?: string) => {\n    const list = entry.model;\n    const found = preferredModel\n      ? list.find(m => modelName(m) === preferredModel) ?? list[0]\n      : list[0];\n    const selectedModel = modelName(found!);\n    const price = found ? modelPrice(found) : undefined;\n    return {\n      model: selectedModel,\n      baseUrl: entry.base_url ?? '',\n      apiKey: entry.auth_token_env ?? '',\n      proxy: entry.proxy,\n      maxTokens: entry.max_tokens,\n      provider: entry.provider ?? inferProvider(selectedModel),\n      currency: price?.currency,\n      inputPrice: price?.input,\n      outputPrice: price?.output,\n      cacheReadPrice: price?.cache_read_input,\n      maxContext: price?.max_context,\n    };\n  };\n\n  // 1. default_model from settings (\"provider/model-name\" format)\n  const defaultName = settings.default_model;\n  if (defaultName && settings.model_list) {\n    const { providerName, modelName } = parseDefault(defaultName);\n    const entry = settings.model_list.find(m => m.provider === providerName);\n    if (entry && entry.model.length > 0) {\n      return resolveFromEntry(entry, modelName);\n    }\n  }\n\n  // 2. First entry in model_list\n  if (settings.model_list && settings.model_list.length > 0) {\n    const entry = settings.model_list[0]!;\n    if (entry.model.length > 0) {\n      return resolveFromEntry(entry);\n    }\n  }\n\n  throw new Error(\n    'No model configured. Add model_list to ~/.coder/settings.json.',\n  );\n}\n\n// ---------------------------------------------------------------------------\n// Public API — loadConfig\n// ---------------------------------------------------------------------------\n\n/**\n * Load AI model configuration from ~/.coder/settings.json.\n *\n * Resolution priority:\n *   1. default_model — \"provider/model-name\" format, looked up in model_list\n *   2. First entry in model_list\n *\n * Settings format:\n * {\n *   \"model_list\": [\n *     { \"model\": [\"deepseek-v4-pro\"], \"provider\": \"deepseek\",\n *       \"base_url\": \"https://api.deepseek.com/anthropic\", \"auth_token_env\": \"sk-...\" }\n *   ],\n *   \"default_model\": \"deepseek/deepseek-v4-pro\"\n * }\n */\nexport function loadConfig(): AppConfig {\n  const settings = loadSettings();\n\n  const resolved = resolveModel(settings);\n\n  const model = resolved.model;\n  const apiKey = resolved.apiKey;\n  const baseUrl = resolved.baseUrl;\n  const proxy = resolved.proxy;\n  const maxTokens = resolved.maxTokens ?? settings.max_tokens;\n\n  if (!model) {\n    throw new Error(\n      'No model configured. Set default_model in ~/.coder/settings.json.',\n    );\n  }\n\n  return { baseUrl, apiKey, model, provider: resolved.provider, proxy, maxTokens, currency: resolved.currency, inputPrice: resolved.inputPrice, outputPrice: resolved.outputPrice, cacheReadPrice: resolved.cacheReadPrice, maxContext: resolved.maxContext };\n}\n"}, "f9bebc4ab96fc1f3b8077486e24baf4de3384693": {"t": 1785759214.11404, "n": 6986, "h": "77c06f80fba2b92d", "c": "import { existsSync, mkdirSync, readFileSync, copyFileSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join, dirname } from 'node:path';\nimport { fileURLToPath } from 'node:url';\n\nimport type { AppConfig } from '../types.js';\n\n// ---------------------------------------------------------------------------\n// Settings types — matches ~/.coder/settings.json format\n// ---------------------------------------------------------------------------\n\nexport interface ModelPrice {\n  input: number;\n  output: number;\n  cache_read_input?: number;\n  currency?: string;\n  unit?: number;\n  concurrency?: number;\n  max_context?: number;\n}\n\nexport interface ModelItem {\n  name: string;\n  price?: ModelPrice;\n}\n\nexport interface ModelEntry {\n  /** List of model IDs available for this provider — strings or {name, price} objects */\n  model: Array<string | ModelItem>;\n  /** Provider endpoint URL */\n  base_url?: string;\n  /** API key / auth token */\n  auth_token_env?: string;\n  /** HTTP/HTTPS proxy URL */\n  proxy?: string;\n  /** Maximum output tokens for this provider */\n  max_tokens?: number;\n  /** Provider identifier (anthropic, deepseek, openai, etc.) */\n  provider?: string;\n}\n\nexport interface CoderSettings {\n  env?: Record<string, string>;\n  model_list?: ModelEntry[];\n  /** Format: \"provider/model-name\" (e.g. \"deepseek/deepseek-v4-pro\") */\n  default_model?: string;\n  /** Global max output tokens (default: 32768) */\n  max_tokens?: number;\n  /** UI theme (dark / light) */\n  theme?: string;\n  /** Max concurrent tool executions (default: 32, range: 1-256). */\n  max_tool_concurrency?: number;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\nexport function inferProvider(model: string): string {\n  const lower = model.toLowerCase();\n  if (lower.includes('deepseek')) return 'deepseek';\n  if (lower.includes('openai') || lower.includes('gpt') || lower.includes('o1') || lower.includes('o3') || lower.includes('o4')) return 'openai';\n  return 'anthropic';\n}\n\nexport function loadSettings(): CoderSettings {\n  const settingsDir = join(homedir(), '.coder');\n  const settingsPath = join(settingsDir, 'settings.json');\n\n  if (!existsSync(settingsPath)) {\n    // Copy default settings on first install\n    const defaultSettingsPath = join(\n      dirname(fileURLToPath(import.meta.url)),\n      '..', '..', 'config', 'default_settings.json',\n    );\n    if (existsSync(defaultSettingsPath)) {\n      mkdirSync(settingsDir, { recursive: true });\n      copyFileSync(defaultSettingsPath, settingsPath);\n    }\n  }\n\n  try {\n    const raw = readFileSync(settingsPath, 'utf-8');\n    return JSON.parse(raw) as CoderSettings;\n  } catch {\n    return {};\n  }\n}\n\n/** Resolve max tool concurrency from settings, with bounds checking. */\nexport function getMaxToolConcurrency(settings?: CoderSettings): number {\n  const val = settings?.max_tool_concurrency;\n  if (typeof val === 'number' && val >= 1 && val <= 256) return val;\n  return 32;\n}\n\n// ---------------------------------------------------------------------------\n// Model resolution — matches KodeAgent priority:\n//   1. CODER_MODEL env var (highest)\n//   2. default_model parsed as \"provider/model-name\", looked up in model_list\n//   3. First entry in model_list\n//   4. Legacy env vars in settings.env\n// ---------------------------------------------------------------------------\n\nfunction resolveModel(settings: CoderSettings): {\n  model: string;\n  baseUrl: string;\n  apiKey: string;\n  proxy?: string;\n  maxTokens?: number;\n  provider: string;\n  currency?: string;\n  inputPrice?: number;\n  outputPrice?: number;\n  cacheReadPrice?: number;\n  maxContext?: number;\n} {\n  const parseDefault = (raw: string) => {\n    const parts = raw.split('/');\n    return { providerName: parts[0]!, modelName: parts.length > 1 ? parts[1] : undefined };\n  };\n\n  const modelName = (m: string | ModelItem): string =>\n    typeof m === 'string' ? m : m.name;\n\n  const modelPrice = (m: string | ModelItem): ModelPrice | undefined =>\n    typeof m === 'string' ? undefined : m.price;\n\n  const resolveFromEntry = (entry: ModelEntry, preferredModel?: string) => {\n    const list = entry.model;\n    const found = preferredModel\n      ? list.find(m => modelName(m) === preferredModel) ?? list[0]\n      : list[0];\n    const selectedModel = modelName(found!);\n    const price = found ? modelPrice(found) : undefined;\n    return {\n      model: selectedModel,\n      baseUrl: entry.base_url ?? '',\n      apiKey: entry.auth_token_env ?? '',\n      proxy: entry.proxy,\n      maxTokens: entry.max_tokens,\n      provider: entry.provider ?? inferProvider(selectedModel),\n      currency: price?.currency,\n      inputPrice: price?.input,\n      outputPrice: price?.output,\n      cacheReadPrice: price?.cache_read_input,\n      maxContext: price?.max_context,\n    };\n  };\n\n  // 1. default_model from settings (\"provider/model-name\" format)\n  const defaultName = settings.default_model;\n  if (defaultName && settings.model_list) {\n    const { providerName, modelName } = parseDefault(defaultName);\n    const entry = settings.model_list.find(m => m.provider === providerName);\n    if (entry && entry.model.length > 0) {\n      return resolveFromEntry(entry, modelName);\n    }\n  }\n\n  // 2. First entry in model_list\n  if (settings.model_list && settings.model_list.length > 0) {\n    const entry = settings.model_list[0]!;\n    if (entry.model.length > 0) {\n      return resolveFromEntry(entry);\n    }\n  }\n\n  throw new Error(\n    'No model configured. Add model_list to ~/.coder/settings.json.',\n  );\n}\n\n// ---------------------------------------------------------------------------\n// Public API — loadConfig\n// ---------------------------------------------------------------------------\n\n/**\n * Load AI model configuration from ~/.coder/settings.json.\n *\n * Resolution priority:\n *   1. default_model — \"provider/model-name\" format, looked up in model_list\n *   2. First entry in model_list\n *\n * Settings format:\n * {\n *   \"model_list\": [\n *     { \"model\": [\"deepseek-v4-pro\"], \"provider\": \"deepseek\",\n *       \"base_url\": \"https://api.deepseek.com/anthropic\", \"auth_token_env\": \"sk-...\" }\n *   ],\n *   \"default_model\": \"deepseek/deepseek-v4-pro\"\n * }\n */\nexport function loadConfig(): AppConfig {\n  const settings = loadSettings();\n\n  const resolved = resolveModel(settings);\n\n  const model = resolved.model;\n  const apiKey = resolved.apiKey;\n  const baseUrl = resolved.baseUrl;\n  const proxy = resolved.proxy;\n  const maxTokens = resolved.maxTokens ?? settings.max_tokens;\n\n  if (!model) {\n    throw new Error(\n      'No model configured. Set default_model in ~/.coder/settings.json.',\n    );\n  }\n\n  return { baseUrl, apiKey, model, provider: resolved.provider, proxy, maxTokens, currency: resolved.currency, inputPrice: resolved.inputPrice, outputPrice: resolved.outputPrice, cacheReadPrice: resolved.cacheReadPrice, maxContext: resolved.maxContext };\n}\n"}, "835d176cea1fbd573c06c6610b643580efa84e93": {"t": 1785759215.9302316, "n": 6315, "h": "0e60218a7722a7bc", "c": "import { readFileSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\n\nimport type { AppConfig } from '../types.js';\n\n// ---------------------------------------------------------------------------\n// Settings types — matches ~/.coder/settings.json format\n// ---------------------------------------------------------------------------\n\nexport interface ModelPrice {\n  input: number;\n  output: number;\n  cache_read_input?: number;\n  currency?: string;\n  unit?: number;\n  concurrency?: number;\n}\n\nexport interface ModelItem {\n  name: string;\n  price?: ModelPrice;\n}\n\nexport interface ModelEntry {\n  /** List of model IDs available for this provider — strings or {name, price} objects */\n  model: Array<string | ModelItem>;\n  /** Provider endpoint URL */\n  base_url?: string;\n  /** API key / auth token */\n  auth_token_env?: string;\n  /** HTTP/HTTPS proxy URL */\n  proxy?: string;\n  /** Maximum output tokens for this provider */\n  max_tokens?: number;\n  /** Provider identifier (anthropic, deepseek, openai, etc.) */\n  provider?: string;\n}\n\nexport interface CoderSettings {\n  env?: Record<string, string>;\n  model_list?: ModelEntry[];\n  /** Format: \"provider/model-name\" (e.g. \"deepseek/deepseek-v4-pro\") */\n  default_model?: string;\n  /** Global max output tokens (default: 32768) */\n  max_tokens?: number;\n  /** UI theme (dark / light) */\n  theme?: string;\n  /** Max concurrent tool executions (default: 32, range: 1-256). */\n  max_tool_concurrency?: number;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\nexport function inferProvider(model: string): string {\n  const lower = model.toLowerCase();\n  if (lower.includes('deepseek')) return 'deepseek';\n  if (lower.includes('openai') || lower.includes('gpt') || lower.includes('o1') || lower.includes('o3') || lower.includes('o4')) return 'openai';\n  return 'anthropic';\n}\n\nexport function loadSettings(): CoderSettings {\n  try {\n    const raw = readFileSync(join(homedir(), '.coder', 'settings.json'), 'utf-8');\n    return JSON.parse(raw) as CoderSettings;\n  } catch {\n    return {};\n  }\n}\n\n/** Resolve max tool concurrency from settings, with bounds checking. */\nexport function getMaxToolConcurrency(settings?: CoderSettings): number {\n  const val = settings?.max_tool_concurrency;\n  if (typeof val === 'number' && val >= 1 && val <= 256) return val;\n  return 32;\n}\n\n// ---------------------------------------------------------------------------\n// Model resolution — matches KodeAgent priority:\n//   1. CODER_MODEL env var (highest)\n//   2. default_model parsed as \"provider/model-name\", looked up in model_list\n//   3. First entry in model_list\n//   4. Legacy env vars in settings.env\n// ---------------------------------------------------------------------------\n\nfunction resolveModel(settings: CoderSettings): {\n  model: string;\n  baseUrl: string;\n  apiKey: string;\n  proxy?: string;\n  maxTokens?: number;\n  provider: string;\n  currency?: string;\n  inputPrice?: number;\n  outputPrice?: number;\n  cacheReadPrice?: number;\n} {\n  const parseDefault = (raw: string) => {\n    const parts = raw.split('/');\n    return { providerName: parts[0]!, modelName: parts.length > 1 ? parts[1] : undefined };\n  };\n\n  const modelName = (m: string | ModelItem): string =>\n    typeof m === 'string' ? m : m.name;\n\n  const modelPrice = (m: string | ModelItem): ModelPrice | undefined =>\n    typeof m === 'string' ? undefined : m.price;\n\n  const resolveFromEntry = (entry: ModelEntry, preferredModel?: string) => {\n    const list = entry.model;\n    const found = preferredModel\n      ? list.find(m => modelName(m) === preferredModel) ?? list[0]\n      : list[0];\n    const selectedModel = modelName(found!);\n    const price = found ? modelPrice(found) : undefined;\n    return {\n      model: selectedModel,\n      baseUrl: entry.base_url ?? '',\n      apiKey: entry.auth_token_env ?? '',\n      proxy: entry.proxy,\n      maxTokens: entry.max_tokens,\n      provider: entry.provider ?? inferProvider(selectedModel),\n      currency: price?.currency,\n      inputPrice: price?.input,\n      outputPrice: price?.output,\n      cacheReadPrice: price?.cache_read_input,\n    };\n  };\n\n  // 1. default_model from settings (\"provider/model-name\" format)\n  const defaultName = settings.default_model;\n  if (defaultName && settings.model_list) {\n    const { providerName, modelName } = parseDefault(defaultName);\n    const entry = settings.model_list.find(m => m.provider === providerName);\n    if (entry && entry.model.length > 0) {\n      return resolveFromEntry(entry, modelName);\n    }\n  }\n\n  // 2. First entry in model_list\n  if (settings.model_list && settings.model_list.length > 0) {\n    const entry = settings.model_list[0]!;\n    if (entry.model.length > 0) {\n      return resolveFromEntry(entry);\n    }\n  }\n\n  throw new Error(\n    'No model configured. Add model_list to ~/.coder/settings.json.',\n  );\n}\n\n// ---------------------------------------------------------------------------\n// Public API — loadConfig\n// ---------------------------------------------------------------------------\n\n/**\n * Load AI model configuration from ~/.coder/settings.json.\n *\n * Resolution priority:\n *   1. default_model — \"provider/model-name\" format, looked up in model_list\n *   2. First entry in model_list\n *\n * Settings format:\n * {\n *   \"model_list\": [\n *     { \"model\": [\"deepseek-v4-pro\"], \"provider\": \"deepseek\",\n *       \"base_url\": \"https://api.deepseek.com/anthropic\", \"auth_token_env\": \"sk-...\" }\n *   ],\n *   \"default_model\": \"deepseek/deepseek-v4-pro\"\n * }\n */\nexport function loadConfig(): AppConfig {\n  const settings = loadSettings();\n\n  const resolved = resolveModel(settings);\n\n  const model = resolved.model;\n  const apiKey = resolved.apiKey;\n  const baseUrl = resolved.baseUrl;\n  const proxy = resolved.proxy;\n  const maxTokens = resolved.maxTokens ?? settings.max_tokens;\n\n  if (!model) {\n    throw new Error(\n      'No model configured. Set default_model in ~/.coder/settings.json.',\n    );\n  }\n\n  return { baseUrl, apiKey, model, provider: resolved.provider, proxy, maxTokens, currency: resolved.currency, inputPrice: resolved.inputPrice, outputPrice: resolved.outputPrice, cacheReadPrice: resolved.cacheReadPrice };\n}\n"}, "675f898cb208c5e4a5751ba3422e14c92a346b4f": {"t": 1785759217.207622, "n": 5327, "h": "8afb00558bf5a79c", "c": "import { readFileSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\n\nimport type { AppConfig } from '../types.js';\n\n// ---------------------------------------------------------------------------\n// Settings types — matches ~/.coder/settings.json format\n// ---------------------------------------------------------------------------\n\nexport interface ModelEntry {\n  /** List of model IDs available for this provider */\n  model: string[];\n  /** Provider endpoint URL */\n  base_url?: string;\n  /** API key / auth token */\n  auth_token_env?: string;\n  /** HTTP/HTTPS proxy URL */\n  proxy?: string;\n  /** Maximum output tokens for this provider */\n  max_tokens?: number;\n  /** Provider identifier (anthropic, deepseek, openai, etc.) */\n  provider?: string;\n}\n\nexport interface CoderSettings {\n  env?: Record<string, string>;\n  model_list?: ModelEntry[];\n  /** Format: \"provider/model-name\" (e.g. \"deepseek/deepseek-v4-pro\") */\n  default_model?: string;\n  /** Global max output tokens (default: 32768) */\n  max_tokens?: number;\n  /** UI theme (dark / light) */\n  theme?: string;\n  /** Max concurrent tool executions (default: 32, range: 1-256). */\n  max_tool_concurrency?: number;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\nexport function inferProvider(model: string): string {\n  const lower = model.toLowerCase();\n  if (lower.includes('deepseek')) return 'deepseek';\n  if (lower.includes('openai') || lower.includes('gpt') || lower.includes('o1') || lower.includes('o3') || lower.includes('o4')) return 'openai';\n  return 'anthropic';\n}\n\nexport function loadSettings(): CoderSettings {\n  try {\n    const raw = readFileSync(join(homedir(), '.coder', 'settings.json'), 'utf-8');\n    return JSON.parse(raw) as CoderSettings;\n  } catch {\n    return {};\n  }\n}\n\n/** Resolve max tool concurrency from settings, with bounds checking. */\nexport function getMaxToolConcurrency(settings?: CoderSettings): number {\n  const val = settings?.max_tool_concurrency;\n  if (typeof val === 'number' && val >= 1 && val <= 256) return val;\n  return 32;\n}\n\n// ---------------------------------------------------------------------------\n// Model resolution — matches KodeAgent priority:\n//   1. CODER_MODEL env var (highest)\n//   2. default_model parsed as \"provider/model-name\", looked up in model_list\n//   3. First entry in model_list\n//   4. Legacy env vars in settings.env\n// ---------------------------------------------------------------------------\n\nfunction resolveModel(settings: CoderSettings): {\n  model: string;\n  baseUrl: string;\n  apiKey: string;\n  proxy?: string;\n  maxTokens?: number;\n  provider: string;\n} {\n  const parseDefault = (raw: string) => {\n    const parts = raw.split('/');\n    return { providerName: parts[0]!, modelName: parts.length > 1 ? parts[1] : undefined };\n  };\n\n  const resolveFromEntry = (entry: ModelEntry, preferredModel?: string) => {\n    const selectedModel = preferredModel\n      ? (entry.model.find(m => m === preferredModel) ?? entry.model[0]!)\n      : entry.model[0]!;\n    return {\n      model: selectedModel,\n      baseUrl: entry.base_url ?? '',\n      apiKey: entry.auth_token_env ?? '',\n      proxy: entry.proxy,\n      maxTokens: entry.max_tokens,\n      provider: entry.provider ?? inferProvider(selectedModel),\n    };\n  };\n\n  // 1. default_model from settings (\"provider/model-name\" format)\n  const defaultName = settings.default_model;\n  if (defaultName && settings.model_list) {\n    const { providerName, modelName } = parseDefault(defaultName);\n    const entry = settings.model_list.find(m => m.provider === providerName);\n    if (entry && entry.model.length > 0) {\n      return resolveFromEntry(entry, modelName);\n    }\n  }\n\n  // 2. First entry in model_list\n  if (settings.model_list && settings.model_list.length > 0) {\n    const entry = settings.model_list[0]!;\n    if (entry.model.length > 0) {\n      return resolveFromEntry(entry);\n    }\n  }\n\n  throw new Error(\n    'No model configured. Add model_list to ~/.coder/settings.json.',\n  );\n}\n\n// ---------------------------------------------------------------------------\n// Public API — loadConfig\n// ---------------------------------------------------------------------------\n\n/**\n * Load AI model configuration from ~/.coder/settings.json.\n *\n * Resolution priority:\n *   1. default_model — \"provider/model-name\" format, looked up in model_list\n *   2. First entry in model_list\n *\n * Settings format:\n * {\n *   \"model_list\": [\n *     { \"model\": [\"deepseek-v4-pro\"], \"provider\": \"deepseek\",\n *       \"base_url\": \"https://api.deepseek.com/anthropic\", \"auth_token_env\": \"sk-...\" }\n *   ],\n *   \"default_model\": \"deepseek/deepseek-v4-pro\"\n * }\n */\nexport function loadConfig(): AppConfig {\n  const settings = loadSettings();\n\n  const resolved = resolveModel(settings);\n\n  const model = resolved.model;\n  const apiKey = resolved.apiKey;\n  const baseUrl = resolved.baseUrl;\n  const proxy = resolved.proxy;\n  const maxTokens = resolved.maxTokens ?? settings.max_tokens;\n\n  if (!model) {\n    throw new Error(\n      'No model configured. Set default_model in ~/.coder/settings.json.',\n    );\n  }\n\n  return { baseUrl, apiKey, model, provider: resolved.provider, proxy, maxTokens };\n}\n"}, "c89947041a9a14f22d0726721edb11e9e07c2943": {"t": 1785759218.5522528, "n": 6598, "h": "c8ca6662e3e77339", "c": "import { readFileSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\n\nimport type { AppConfig } from '../types.js';\n\n// ---------------------------------------------------------------------------\n// Settings types — matches ~/.coder/settings.json format\n// ---------------------------------------------------------------------------\n\nexport interface ModelEntry {\n  /** List of model IDs available for this provider */\n  model: string[];\n  /** Provider endpoint URL */\n  base_url?: string;\n  /** API key / auth token */\n  auth_token_env?: string;\n  /** HTTP/HTTPS proxy URL */\n  proxy?: string;\n  /** Maximum output tokens for this provider */\n  max_tokens?: number;\n  /** Provider identifier (anthropic, deepseek, openai, etc.) */\n  provider?: string;\n}\n\nexport interface CoderSettings {\n  env?: Record<string, string>;\n  model_list?: ModelEntry[];\n  /** Format: \"provider/model-name\" (e.g. \"deepseek/deepseek-v4-pro\") */\n  default_model?: string;\n  /** Global max output tokens (default: 32768) */\n  max_tokens?: number;\n  /** UI theme (dark / light) */\n  theme?: string;\n  /** Max concurrent tool executions (default: 32, range: 1-256). */\n  max_tool_concurrency?: number;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\nexport function inferProvider(model: string): string {\n  const lower = model.toLowerCase();\n  if (lower.includes('deepseek')) return 'deepseek';\n  if (lower.includes('openai') || lower.includes('gpt') || lower.includes('o1') || lower.includes('o3') || lower.includes('o4')) return 'openai';\n  return 'anthropic';\n}\n\nexport function loadSettings(): CoderSettings {\n  try {\n    const raw = readFileSync(join(homedir(), '.coder', 'settings.json'), 'utf-8');\n    return JSON.parse(raw) as CoderSettings;\n  } catch {\n    return {};\n  }\n}\n\n/** Resolve max tool concurrency from settings, with bounds checking. */\nexport function getMaxToolConcurrency(settings?: CoderSettings): number {\n  const val = settings?.max_tool_concurrency;\n  if (typeof val === 'number' && val >= 1 && val <= 256) return val;\n  return 32;\n}\n\n// ---------------------------------------------------------------------------\n// Model resolution — matches KodeAgent priority:\n//   1. CODER_MODEL env var (highest)\n//   2. default_model parsed as \"provider/model-name\", looked up in model_list\n//   3. First entry in model_list\n//   4. Legacy env vars in settings.env\n// ---------------------------------------------------------------------------\n\nfunction resolveModel(settings: CoderSettings): {\n  model: string;\n  baseUrl: string;\n  apiKey: string;\n  proxy?: string;\n  maxTokens?: number;\n  provider: string;\n} {\n  const parseDefault = (raw: string) => {\n    const parts = raw.split('/');\n    return { providerName: parts[0]!, modelName: parts.length > 1 ? parts[1] : undefined };\n  };\n\n  const resolveFromEntry = (entry: ModelEntry, preferredModel?: string) => {\n    const selectedModel = preferredModel\n      ? (entry.model.find(m => m === preferredModel) ?? entry.model[0]!)\n      : entry.model[0]!;\n    return {\n      model: selectedModel,\n      baseUrl: entry.base_url ?? '',\n      apiKey: entry.auth_token_env ?? '',\n      proxy: entry.proxy,\n      maxTokens: entry.max_tokens,\n      provider: entry.provider ?? inferProvider(selectedModel),\n    };\n  };\n\n  // 1. CODER_MODEL env var\n  const coderModel = process.env.CODER_MODEL;\n  if (coderModel) {\n    if (settings.model_list) {\n      const { providerName, modelName } = parseDefault(coderModel);\n      const entry = settings.model_list.find(m => m.provider === providerName);\n      if (entry && entry.model.length > 0) {\n        return resolveFromEntry(entry, modelName);\n      }\n      for (const entry of settings.model_list) {\n        const matched = entry.model.find(m => m === coderModel);\n        if (matched) {\n          return resolveFromEntry(entry, matched);\n        }\n      }\n    }\n    return {\n      model: coderModel,\n      baseUrl: '',\n      apiKey: '',\n      provider: inferProvider(coderModel),\n    };\n  }\n\n  // 2. default_model from settings\n  const defaultName = settings.default_model;\n  if (defaultName && settings.model_list) {\n    const { providerName, modelName } = parseDefault(defaultName);\n    const entry = settings.model_list.find(m => m.provider === providerName);\n    if (entry && entry.model.length > 0) {\n      return resolveFromEntry(entry, modelName);\n    }\n  }\n\n  // 3. First entry in model_list\n  if (settings.model_list && settings.model_list.length > 0) {\n    const entry = settings.model_list[0]!;\n    if (entry.model.length > 0) {\n      return resolveFromEntry(entry);\n    }\n  }\n\n  // 4. Legacy env fallback\n  const env = settings.env ?? {};\n  return {\n    model: env.CODER_MODEL ?? 'claude-sonnet-4-6',\n    baseUrl: env.CODER_BASE_URL ?? '',\n    apiKey: env.CODER_AUTH_TOKEN ?? '',\n    provider: 'anthropic',\n  };\n}\n\n// ---------------------------------------------------------------------------\n// Public API — loadConfig\n// ---------------------------------------------------------------------------\n\n/**\n * Load AI model configuration from ~/.coder/settings.json.\n *\n * Supports KodeAgent-compatible format:\n * {\n *   \"model_list\": [\n *     { \"model\": [\"deepseek-v4-pro\"], \"provider\": \"deepseek\",\n *       \"base_url\": \"https://api.deepseek.com/anthropic\", \"auth_token_env\": \"sk-...\" }\n *   ],\n *   \"default_model\": \"deepseek/deepseek-v4-pro\"\n * }\n *\n * Also supports legacy format:\n * {\n *   \"env\": {\n *     \"CODER_BASE_URL\": \"...\",\n *     \"CODER_AUTH_TOKEN\": \"...\",\n *     \"CODER_MODEL\": \"...\"\n *   }\n * }\n */\nexport function loadConfig(): AppConfig {\n  const settings = loadSettings();\n\n  const resolved = resolveModel(settings);\n\n  // Env vars override file config\n  const apiKey =\n    process.env.CODER_AUTH_TOKEN ??\n    resolved.apiKey ??\n    '';\n\n  const baseUrl =\n    process.env.CODER_BASE_URL ??\n    resolved.baseUrl ??\n    '';\n\n  const model =\n    process.env.CODER_MODEL ??\n    resolved.model ??\n    '';\n\n  const proxy =\n    process.env.CODER_PROXY ??\n    resolved.proxy;\n\n  const maxTokens = (() => {\n    if (process.env.CODER_MAX_TOKENS) {\n      const n = parseInt(process.env.CODER_MAX_TOKENS, 10);\n      if (!isNaN(n)) return n;\n    }\n    return resolved.maxTokens ?? settings.max_tokens;\n  })();\n\n  if (!model) {\n    throw new Error(\n      'No model configured. Set CODER_MODEL in ~/.coder/settings.json (model_list) or env.',\n    );\n  }\n\n  return { baseUrl, apiKey, model, provider: resolved.provider, proxy, maxTokens };\n}\n"}, "f4afb695404a6c912d34d505a74000200f0b2eff": {"t": 1785759220.0975258, "n": 6211, "h": "7e4c46cd5ad224cd", "c": "import { readFileSync } from 'node:fs';\nimport { homedir } from 'node:os';\nimport { join } from 'node:path';\n\nimport type { AppConfig } from '../types.js';\n\n// ---------------------------------------------------------------------------\n// Settings types — matches ~/.coder/settings.json format\n// ---------------------------------------------------------------------------\n\nexport interface ModelEntry {\n  /** List of model IDs available for this provider */\n  model: string[];\n  /** Provider endpoint URL */\n  base_url?: string;\n  /** API key / auth token */\n  auth_token_env?: string;\n  /** HTTP/HTTPS proxy URL */\n  proxy?: string;\n  /** Maximum output tokens for this provider */\n  max_tokens?: number;\n  /** Provider identifier (anthropic, deepseek, openai, etc.) */\n  provider?: string;\n}\n\nexport interface CoderSettings {\n  env?: Record<string, string>;\n  model_list?: ModelEntry[];\n  /** Format: \"provider/model-name\" (e.g. \"deepseek/deepseek-v4-pro\") */\n  default_model?: string;\n  /** Global max output tokens (default: 32768) */\n  max_tokens?: number;\n  /** UI theme (dark / light) */\n  theme?: string;\n}\n\n// ---------------------------------------------------------------------------\n// Helpers\n// ---------------------------------------------------------------------------\n\nexport function inferProvider(model: string): string {\n  const lower = model.toLowerCase();\n  if (lower.includes('deepseek')) return 'deepseek';\n  if (lower.includes('openai') || lower.includes('gpt') || lower.includes('o1') || lower.includes('o3') || lower.includes('o4')) return 'openai';\n  return 'anthropic';\n}\n\nfunction loadSettings(): CoderSettings {\n  try {\n    const raw = readFileSync(join(homedir(), '.coder', 'settings.json'), 'utf-8');\n    return JSON.parse(raw) as CoderSettings;\n  } catch {\n    return {};\n  }\n}\n\n// ---------------------------------------------------------------------------\n// Model resolution — matches KodeAgent priority:\n//   1. CODER_MODEL env var (highest)\n//   2. default_model parsed as \"provider/model-name\", looked up in model_list\n//   3. First entry in model_list\n//   4. Legacy env vars in settings.env\n// ---------------------------------------------------------------------------\n\nfunction resolveModel(settings: CoderSettings): {\n  model: string;\n  baseUrl: string;\n  apiKey: string;\n  proxy?: string;\n  maxTokens?: number;\n  provider: string;\n} {\n  const parseDefault = (raw: string) => {\n    const parts = raw.split('/');\n    return { providerName: parts[0]!, modelName: parts.length > 1 ? parts[1] : undefined };\n  };\n\n  const resolveFromEntry = (entry: ModelEntry, preferredModel?: string) => {\n    const selectedModel = preferredModel\n      ? (entry.model.find(m => m === preferredModel) ?? entry.model[0]!)\n      : entry.model[0]!;\n    return {\n      model: selectedModel,\n      baseUrl: entry.base_url ?? '',\n      apiKey: entry.auth_token_env ?? '',\n      proxy: entry.proxy,\n      maxTokens: entry.max_tokens,\n      provider: entry.provider ?? inferProvider(selectedModel),\n    };\n  };\n\n  // 1. CODER_MODEL env var\n  const coderModel = process.env.CODER_MODEL;\n  if (coderModel) {\n    if (settings.model_list) {\n      const { providerName, modelName } = parseDefault(coderModel);\n      const entry = settings.model_list.find(m => m.provider === providerName);\n      if (entry && entry.model.length > 0) {\n        return resolveFromEntry(entry, modelName);\n      }\n      for (const entry of settings.model_list) {\n        const matched = entry.model.find(m => m === coderModel);\n        if (matched) {\n          return resolveFromEntry(entry, matched);\n        }\n      }\n    }\n    return {\n      model: coderModel,\n      baseUrl: '',\n      apiKey: '',\n      provider: inferProvider(coderModel),\n    };\n  }\n\n  // 2. default_model from settings\n  const defaultName = settings.default_model;\n  if (defaultName && settings.model_list) {\n    const { providerName, modelName } = parseDefault(defaultName);\n    const entry = settings.model_list.find(m => m.provider === providerName);\n    if (entry && entry.model.length > 0) {\n      return resolveFromEntry(entry, modelName);\n    }\n  }\n\n  // 3. First entry in model_list\n  if (settings.model_list && settings.model_list.length > 0) {\n    const entry = settings.model_list[0]!;\n    if (entry.model.length > 0) {\n      return resolveFromEntry(entry);\n    }\n  }\n\n  // 4. Legacy env fallback\n  const env = settings.env ?? {};\n  return {\n    model: env.CODER_MODEL ?? 'claude-sonnet-4-6',\n    baseUrl: env.CODER_BASE_URL ?? '',\n    apiKey: env.CODER_AUTH_TOKEN ?? '',\n    provider: 'anthropic',\n  };\n}\n\n// ---------------------------------------------------------------------------\n// Public API — loadConfig\n// ---------------------------------------------------------------------------\n\n/**\n * Load AI model configuration from ~/.coder/settings.json.\n *\n * Supports KodeAgent-compatible format:\n * {\n *   \"model_list\": [\n *     { \"model\": [\"deepseek-v4-pro\"], \"provider\": \"deepseek\",\n *       \"base_url\": \"https://api.deepseek.com/anthropic\", \"auth_token_env\": \"sk-...\" }\n *   ],\n *   \"default_model\": \"deepseek/deepseek-v4-pro\"\n * }\n *\n * Also supports legacy format:\n * {\n *   \"env\": {\n *     \"CODER_BASE_URL\": \"...\",\n *     \"CODER_AUTH_TOKEN\": \"...\",\n *     \"CODER_MODEL\": \"...\"\n *   }\n * }\n */\nexport function loadConfig(): AppConfig {\n  const settings = loadSettings();\n\n  const resolved = resolveModel(settings);\n\n  // Env vars override file config\n  const apiKey =\n    process.env.CODER_AUTH_TOKEN ??\n    resolved.apiKey ??\n    '';\n\n  const baseUrl =\n    process.env.CODER_BASE_URL ??\n    resolved.baseUrl ??\n    '';\n\n  const model =\n    process.env.CODER_MODEL ??\n    resolved.model ??\n    '';\n\n  const proxy =\n    process.env.CODER_PROXY ??\n    resolved.proxy;\n\n  const maxTokens = (() => {\n    if (process.env.CODER_MAX_TOKENS) {\n      const n = parseInt(process.env.CODER_MAX_TOKENS, 10);\n      if (!isNaN(n)) return n;\n    }\n    return resolved.maxTokens ?? settings.max_tokens;\n  })();\n\n  if (!model) {\n    throw new Error(\n      'No model configured. Set CODER_MODEL in ~/.coder/settings.json (model_list) or env.',\n    );\n  }\n\n  return { baseUrl, apiKey, model, provider: resolved.provider, proxy, maxTokens };\n}\n"}}}}