{"repo": "abdulrhman-io/abdulrhman-io-ide", "files": {"ai-work-ide/packages/ai-streaming/src/providerAdapters.ts": {"27578d84d1b3cf7f2fbcf169b50975f2691892d5": {"t": 1785746407.8589363, "n": 14077, "h": "672f6aebc8ffaf70", "c": "/**\n * Provider adapters — normalize streaming across OpenAI, Claude, Gemini,\n * DeepSeek, Ollama, and OpenAI-compatible endpoints.\n *\n * Design: each adapter yields async token strings. No secrets are stored here;\n * callers inject credentials via StreamProviderConfig.\n */\n\nimport type { StreamMessage, StreamProviderId } from './streamEvents.js';\n\nexport interface StreamProviderConfig {\n  provider: StreamProviderId;\n  model: string;\n  /** Base URL override (Ollama, OpenRouter, Azure, custom) */\n  baseUrl?: string;\n  /** API key — never logged */\n  apiKey?: string;\n  temperature?: number;\n  maxTokens?: number;\n  headers?: Record<string, string>;\n  /** Optional fetch implementation (for tests / Electron) */\n  fetchImpl?: typeof fetch;\n}\n\nexport interface ProviderStreamRequest {\n  messages: StreamMessage[];\n  model: string;\n  temperature?: number;\n  maxTokens?: number;\n  signal: AbortSignal;\n}\n\nexport interface ProviderAdapter {\n  id: StreamProviderId;\n  /**\n   * Open a streaming completion. Yields content deltas (tokens/chunks).\n   * Must respect AbortSignal and throw on hard failures.\n   */\n  stream(\n    config: StreamProviderConfig,\n    request: ProviderStreamRequest,\n  ): AsyncGenerator<string, { finishReason: string }, unknown>;\n\n  /**\n   * Optional: Transcribe audio using the provider's STT service.\n   */\n  transcribeAudio?(config: StreamProviderConfig, blob: Blob): Promise<string>;\n}\n\nfunction getFetch(config: StreamProviderConfig): typeof fetch {\n  return config.fetchImpl ?? globalThis.fetch.bind(globalThis);\n}\n\nfunction redactError(err: unknown): string {\n  const msg = err instanceof Error ? err.message : String(err);\n  return msg.replace(/sk-[a-zA-Z0-9_-]+/g, 'sk-***').replace(/Bearer\\s+\\S+/gi, 'Bearer ***');\n}\n\nasync function* parseSseJsonLines(\n  body: ReadableStream<Uint8Array>,\n  extract: (json: any) => string | null,\n  signal: AbortSignal,\n): AsyncGenerator<string, { finishReason: string }, unknown> {\n  const reader = body.getReader();\n  const decoder = new TextDecoder();\n  let buffer = '';\n  let finishReason = 'unknown';\n\n  try {\n    while (true) {\n      if (signal.aborted) {\n        finishReason = 'cancelled';\n        break;\n      }\n      const { done, value } = await reader.read();\n      if (done) break;\n      buffer += decoder.decode(value, { stream: true });\n      const lines = buffer.split(/\\r?\\n/);\n      buffer = lines.pop() ?? '';\n\n      for (const line of lines) {\n        const trimmed = line.trim();\n        if (!trimmed || trimmed.startsWith(':')) continue;\n        if (!trimmed.startsWith('data:')) continue;\n        const data = trimmed.slice(5).trim();\n        if (data === '[DONE]') {\n          finishReason = finishReason === 'unknown' ? 'stop' : finishReason;\n          return { finishReason };\n        }\n        try {\n          const json = JSON.parse(data);\n          const fr = json.choices?.[0]?.finish_reason ?? json.stop_reason ?? json.finishReason;\n          if (fr) finishReason = String(fr);\n          const token = extract(json);\n          if (token) yield token;\n        } catch {\n          // skip malformed SSE chunks\n        }\n      }\n    }\n  } finally {\n    try {\n      reader.releaseLock();\n    } catch {\n      /* ignore */\n    }\n  }\n  return { finishReason };\n}\n\n/** OpenAI + DeepSeek + OpenAI-compatible (shared chat.completions stream shape) */\nexport const openAiCompatibleAdapter: ProviderAdapter = {\n  id: 'openai-compatible',\n  async *stream(config, request) {\n    const fetchFn = getFetch(config);\n    const base = (config.baseUrl || 'https://api.openai.com/v1').replace(/\\/$/, '');\n    const url = `${base}/chat/completions`;\n    const headers: Record<string, string> = {\n      'Content-Type': 'application/json',\n      ...(config.headers ?? {}),\n    };\n    if (config.apiKey) headers.Authorization = `Bearer ${config.apiKey}`;\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers,\n        body: JSON.stringify({\n          model: request.model,\n          messages: request.messages.map((m) => {\n            if (Array.isArray(m.content)) {\n              const hasImages = m.content.some((p: any) => p.type === 'image_url');\n              if (hasImages && !config.model?.toLowerCase().includes('vision') && !config.model?.toLowerCase().includes('gpt-4o') && !config.model?.toLowerCase().includes('claude-3-5') && !config.model?.toLowerCase().includes('gemini-1.5')) {\n                throw new Error('unsupported_multimodal_model: The selected model does not support image attachments. Please use a vision-capable model.');\n              }\n            }\n            return {\n              role: m.role,\n              content: m.content,\n              ...(m.name ? { name: m.name } : {}),\n            };\n          }),\n          stream: true,\n          temperature: request.temperature ?? config.temperature ?? 0.2,\n          max_tokens: request.maxTokens ?? config.maxTokens,\n        }),\n        signal: request.signal,\n      });\n    } catch (err) {\n      throw new Error(`openai_stream_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`openai_stream_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n    if (!res.body) throw new Error('openai_stream_no_body');\n\n    return yield* parseSseJsonLines(\n      res.body,\n      (json) => {\n        const delta = json.choices?.[0]?.delta?.content;\n        return typeof delta === 'string' && delta.length > 0 ? delta : null;\n      },\n      request.signal,\n    );\n  },\n\n  async transcribeAudio(config, blob) {\n    const fetchFn = getFetch(config);\n    const base = (config.baseUrl || 'https://api.openai.com/v1').replace(/\\/$/, '');\n    const url = `${base}/audio/transcriptions`;\n    const headers: Record<string, string> = {\n      ...(config.headers ?? {}),\n    };\n    if (config.apiKey) headers.Authorization = `Bearer ${config.apiKey}`;\n\n    const formData = new FormData();\n    formData.append('file', blob, 'audio.webm');\n    formData.append('model', 'whisper-1');\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers,\n        body: formData,\n      });\n    } catch (err) {\n      throw new Error(`openai_transcribe_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`openai_transcribe_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n\n    const data = await res.json() as any;\n    return data.text || '';\n  },\n};\n\nexport const openAiAdapter: ProviderAdapter = {\n  id: 'openai',\n  stream(config, request) {\n    return openAiCompatibleAdapter.stream(\n      { ...config, baseUrl: config.baseUrl || 'https://api.openai.com/v1' },\n      request,\n    );\n  },\n  transcribeAudio(config, blob) {\n    return openAiCompatibleAdapter.transcribeAudio!(\n      { ...config, baseUrl: config.baseUrl || 'https://api.openai.com/v1' },\n      blob,\n    );\n  },\n};\n\nexport const deepSeekAdapter: ProviderAdapter = {\n  id: 'deepseek',\n  stream(config, request) {\n    return openAiCompatibleAdapter.stream(\n      { ...config, baseUrl: config.baseUrl || 'https://api.deepseek.com/v1' },\n      request,\n    );\n  },\n};\n\nexport const ollamaAdapter: ProviderAdapter = {\n  id: 'ollama',\n  stream(config, request) {\n    return openAiCompatibleAdapter.stream(\n      { ...config, baseUrl: config.baseUrl || 'http://127.0.0.1:11434/v1' },\n      request,\n    );\n  },\n};\n\n/** Anthropic Claude Messages API streaming */\nexport const claudeAdapter: ProviderAdapter = {\n  id: 'claude',\n  async *stream(config, request) {\n    const fetchFn = getFetch(config);\n    const base = (config.baseUrl || 'https://api.anthropic.com').replace(/\\/$/, '');\n    const url = `${base}/v1/messages`;\n\n    const system = request.messages.filter((m) => m.role === 'system').map((m) => m.content).join('\\n');\n    const messages = request.messages\n      .filter((m) => m.role === 'user' || m.role === 'assistant')\n      .map((m) => {\n        if (Array.isArray(m.content)) {\n          return {\n            role: m.role,\n            content: m.content.map((p: any) => {\n              if (p.type === 'image_url' && p.image_url?.url) {\n                const match = p.image_url.url.match(/^data:(image\\/[a-zA-Z+]+);base64,(.+)$/);\n                if (match) {\n                  return {\n                    type: 'image',\n                    source: {\n                      type: 'base64',\n                      media_type: match[1],\n                      data: match[2],\n                    },\n                  };\n                }\n              }\n              return p;\n            }),\n          };\n        }\n        return { role: m.role, content: m.content };\n      });\n\n    const headers: Record<string, string> = {\n      'Content-Type': 'application/json',\n      'anthropic-version': '2023-06-01',\n      ...(config.headers ?? {}),\n    };\n    if (config.apiKey) headers['x-api-key'] = config.apiKey;\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers,\n        body: JSON.stringify({\n          model: request.model,\n          max_tokens: request.maxTokens ?? config.maxTokens ?? 4096,\n          temperature: request.temperature ?? config.temperature ?? 0.2,\n          system: system || undefined,\n          messages,\n          stream: true,\n        }),\n        signal: request.signal,\n      });\n    } catch (err) {\n      throw new Error(`claude_stream_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`claude_stream_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n    if (!res.body) throw new Error('claude_stream_no_body');\n\n    return yield* parseSseJsonLines(\n      res.body,\n      (json) => {\n        if (json.type === 'content_block_delta' && json.delta?.type === 'text_delta') {\n          return typeof json.delta.text === 'string' ? json.delta.text : null;\n        }\n        if (json.type === 'content_block_delta' && typeof json.delta?.text === 'string') {\n          return json.delta.text;\n        }\n        return null;\n      },\n      request.signal,\n    );\n  },\n};\n\n/** Google Gemini generateContent stream */\nexport const geminiAdapter: ProviderAdapter = {\n  id: 'gemini',\n  async *stream(config, request) {\n    const fetchFn = getFetch(config);\n    const model = request.model;\n    const base = (config.baseUrl || 'https://generativelanguage.googleapis.com/v1beta').replace(/\\/$/, '');\n    const keyQ = config.apiKey ? `?key=${encodeURIComponent(config.apiKey)}` : '';\n    const url = `${base}/models/${encodeURIComponent(model)}:streamGenerateContent${keyQ}&alt=sse`;\n\n    const system = request.messages.filter((m) => m.role === 'system').map((m) => m.content).join('\\n');\n    const contents = request.messages\n      .filter((m) => m.role === 'user' || m.role === 'assistant')\n      .map((m) => {\n        let parts: any[] = [];\n        if (Array.isArray(m.content)) {\n          parts = m.content.map((p: any) => {\n            if (p.type === 'text') return { text: p.text };\n            if (p.type === 'image_url' && p.image_url?.url) {\n              const match = p.image_url.url.match(/^data:(image\\/[a-zA-Z+]+);base64,(.+)$/);\n              if (match) {\n                return {\n                  inlineData: {\n                    mimeType: match[1],\n                    data: match[2],\n                  },\n                };\n              }\n            }\n            return { text: '' };\n          });\n        } else {\n          parts = [{ text: m.content }];\n        }\n        return {\n          role: m.role === 'assistant' ? 'model' : 'user',\n          parts,\n        };\n      });\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json',\n          ...(config.headers ?? {}),\n        },\n        body: JSON.stringify({\n          contents,\n          systemInstruction: system ? { parts: [{ text: system }] } : undefined,\n          generationConfig: {\n            temperature: request.temperature ?? config.temperature ?? 0.2,\n            maxOutputTokens: request.maxTokens ?? config.maxTokens,\n          },\n        }),\n        signal: request.signal,\n      });\n    } catch (err) {\n      throw new Error(`gemini_stream_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`gemini_stream_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n    if (!res.body) throw new Error('gemini_stream_no_body');\n\n    return yield* parseSseJsonLines(\n      res.body,\n      (json) => {\n        const text = json.candidates?.[0]?.content?.parts?.[0]?.text;\n        return typeof text === 'string' && text.length > 0 ? text : null;\n      },\n      request.signal,\n    );\n  },\n};\n\nconst ADAPTERS: Record<string, ProviderAdapter> = {\n  openai: openAiAdapter,\n  claude: claudeAdapter,\n  gemini: geminiAdapter,\n  deepseek: deepSeekAdapter,\n  ollama: ollamaAdapter,\n  'openai-compatible': openAiCompatibleAdapter,\n};\n\nexport function getProviderAdapter(provider: StreamProviderId): ProviderAdapter {\n  const key = String(provider || '').toLowerCase();\n  if (ADAPTERS[key]) return ADAPTERS[key];\n  // Unknown providers fall back to OpenAI-compatible shape\n  return openAiCompatibleAdapter;\n}\n\nexport function listSupportedProviders(): StreamProviderId[] {\n  return Object.keys(ADAPTERS);\n}\n\n/**\n * Fake adapter for unit tests — yields tokens with optional delay.\n */\nexport function createFakeAdapter(tokens: string[], delayMs = 0): ProviderAdapter {\n  return {\n    id: 'fake',\n    async *stream(_config, request) {\n      for (const t of tokens) {\n        if (request.signal.aborted) return { finishReason: 'cancelled' };\n        if (delayMs > 0) {\n          await new Promise((r) => setTimeout(r, delayMs));\n        }\n        if (request.signal.aborted) return { finishReason: 'cancelled' };\n        yield t;\n      }\n      return { finishReason: 'stop' };\n    },\n  };\n}\n"}, "6d85aeeddb9200a1cbcdeedf89f0cac34a6a45ed": {"t": 1785763583.1506352, "n": 14077, "h": "672f6aebc8ffaf70", "c": "/**\n * Provider adapters — normalize streaming across OpenAI, Claude, Gemini,\n * DeepSeek, Ollama, and OpenAI-compatible endpoints.\n *\n * Design: each adapter yields async token strings. No secrets are stored here;\n * callers inject credentials via StreamProviderConfig.\n */\n\nimport type { StreamMessage, StreamProviderId } from './streamEvents.js';\n\nexport interface StreamProviderConfig {\n  provider: StreamProviderId;\n  model: string;\n  /** Base URL override (Ollama, OpenRouter, Azure, custom) */\n  baseUrl?: string;\n  /** API key — never logged */\n  apiKey?: string;\n  temperature?: number;\n  maxTokens?: number;\n  headers?: Record<string, string>;\n  /** Optional fetch implementation (for tests / Electron) */\n  fetchImpl?: typeof fetch;\n}\n\nexport interface ProviderStreamRequest {\n  messages: StreamMessage[];\n  model: string;\n  temperature?: number;\n  maxTokens?: number;\n  signal: AbortSignal;\n}\n\nexport interface ProviderAdapter {\n  id: StreamProviderId;\n  /**\n   * Open a streaming completion. Yields content deltas (tokens/chunks).\n   * Must respect AbortSignal and throw on hard failures.\n   */\n  stream(\n    config: StreamProviderConfig,\n    request: ProviderStreamRequest,\n  ): AsyncGenerator<string, { finishReason: string }, unknown>;\n\n  /**\n   * Optional: Transcribe audio using the provider's STT service.\n   */\n  transcribeAudio?(config: StreamProviderConfig, blob: Blob): Promise<string>;\n}\n\nfunction getFetch(config: StreamProviderConfig): typeof fetch {\n  return config.fetchImpl ?? globalThis.fetch.bind(globalThis);\n}\n\nfunction redactError(err: unknown): string {\n  const msg = err instanceof Error ? err.message : String(err);\n  return msg.replace(/sk-[a-zA-Z0-9_-]+/g, 'sk-***').replace(/Bearer\\s+\\S+/gi, 'Bearer ***');\n}\n\nasync function* parseSseJsonLines(\n  body: ReadableStream<Uint8Array>,\n  extract: (json: any) => string | null,\n  signal: AbortSignal,\n): AsyncGenerator<string, { finishReason: string }, unknown> {\n  const reader = body.getReader();\n  const decoder = new TextDecoder();\n  let buffer = '';\n  let finishReason = 'unknown';\n\n  try {\n    while (true) {\n      if (signal.aborted) {\n        finishReason = 'cancelled';\n        break;\n      }\n      const { done, value } = await reader.read();\n      if (done) break;\n      buffer += decoder.decode(value, { stream: true });\n      const lines = buffer.split(/\\r?\\n/);\n      buffer = lines.pop() ?? '';\n\n      for (const line of lines) {\n        const trimmed = line.trim();\n        if (!trimmed || trimmed.startsWith(':')) continue;\n        if (!trimmed.startsWith('data:')) continue;\n        const data = trimmed.slice(5).trim();\n        if (data === '[DONE]') {\n          finishReason = finishReason === 'unknown' ? 'stop' : finishReason;\n          return { finishReason };\n        }\n        try {\n          const json = JSON.parse(data);\n          const fr = json.choices?.[0]?.finish_reason ?? json.stop_reason ?? json.finishReason;\n          if (fr) finishReason = String(fr);\n          const token = extract(json);\n          if (token) yield token;\n        } catch {\n          // skip malformed SSE chunks\n        }\n      }\n    }\n  } finally {\n    try {\n      reader.releaseLock();\n    } catch {\n      /* ignore */\n    }\n  }\n  return { finishReason };\n}\n\n/** OpenAI + DeepSeek + OpenAI-compatible (shared chat.completions stream shape) */\nexport const openAiCompatibleAdapter: ProviderAdapter = {\n  id: 'openai-compatible',\n  async *stream(config, request) {\n    const fetchFn = getFetch(config);\n    const base = (config.baseUrl || 'https://api.openai.com/v1').replace(/\\/$/, '');\n    const url = `${base}/chat/completions`;\n    const headers: Record<string, string> = {\n      'Content-Type': 'application/json',\n      ...(config.headers ?? {}),\n    };\n    if (config.apiKey) headers.Authorization = `Bearer ${config.apiKey}`;\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers,\n        body: JSON.stringify({\n          model: request.model,\n          messages: request.messages.map((m) => {\n            if (Array.isArray(m.content)) {\n              const hasImages = m.content.some((p: any) => p.type === 'image_url');\n              if (hasImages && !config.model?.toLowerCase().includes('vision') && !config.model?.toLowerCase().includes('gpt-4o') && !config.model?.toLowerCase().includes('claude-3-5') && !config.model?.toLowerCase().includes('gemini-1.5')) {\n                throw new Error('unsupported_multimodal_model: The selected model does not support image attachments. Please use a vision-capable model.');\n              }\n            }\n            return {\n              role: m.role,\n              content: m.content,\n              ...(m.name ? { name: m.name } : {}),\n            };\n          }),\n          stream: true,\n          temperature: request.temperature ?? config.temperature ?? 0.2,\n          max_tokens: request.maxTokens ?? config.maxTokens,\n        }),\n        signal: request.signal,\n      });\n    } catch (err) {\n      throw new Error(`openai_stream_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`openai_stream_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n    if (!res.body) throw new Error('openai_stream_no_body');\n\n    return yield* parseSseJsonLines(\n      res.body,\n      (json) => {\n        const delta = json.choices?.[0]?.delta?.content;\n        return typeof delta === 'string' && delta.length > 0 ? delta : null;\n      },\n      request.signal,\n    );\n  },\n\n  async transcribeAudio(config, blob) {\n    const fetchFn = getFetch(config);\n    const base = (config.baseUrl || 'https://api.openai.com/v1').replace(/\\/$/, '');\n    const url = `${base}/audio/transcriptions`;\n    const headers: Record<string, string> = {\n      ...(config.headers ?? {}),\n    };\n    if (config.apiKey) headers.Authorization = `Bearer ${config.apiKey}`;\n\n    const formData = new FormData();\n    formData.append('file', blob, 'audio.webm');\n    formData.append('model', 'whisper-1');\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers,\n        body: formData,\n      });\n    } catch (err) {\n      throw new Error(`openai_transcribe_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`openai_transcribe_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n\n    const data = await res.json() as any;\n    return data.text || '';\n  },\n};\n\nexport const openAiAdapter: ProviderAdapter = {\n  id: 'openai',\n  stream(config, request) {\n    return openAiCompatibleAdapter.stream(\n      { ...config, baseUrl: config.baseUrl || 'https://api.openai.com/v1' },\n      request,\n    );\n  },\n  transcribeAudio(config, blob) {\n    return openAiCompatibleAdapter.transcribeAudio!(\n      { ...config, baseUrl: config.baseUrl || 'https://api.openai.com/v1' },\n      blob,\n    );\n  },\n};\n\nexport const deepSeekAdapter: ProviderAdapter = {\n  id: 'deepseek',\n  stream(config, request) {\n    return openAiCompatibleAdapter.stream(\n      { ...config, baseUrl: config.baseUrl || 'https://api.deepseek.com/v1' },\n      request,\n    );\n  },\n};\n\nexport const ollamaAdapter: ProviderAdapter = {\n  id: 'ollama',\n  stream(config, request) {\n    return openAiCompatibleAdapter.stream(\n      { ...config, baseUrl: config.baseUrl || 'http://127.0.0.1:11434/v1' },\n      request,\n    );\n  },\n};\n\n/** Anthropic Claude Messages API streaming */\nexport const claudeAdapter: ProviderAdapter = {\n  id: 'claude',\n  async *stream(config, request) {\n    const fetchFn = getFetch(config);\n    const base = (config.baseUrl || 'https://api.anthropic.com').replace(/\\/$/, '');\n    const url = `${base}/v1/messages`;\n\n    const system = request.messages.filter((m) => m.role === 'system').map((m) => m.content).join('\\n');\n    const messages = request.messages\n      .filter((m) => m.role === 'user' || m.role === 'assistant')\n      .map((m) => {\n        if (Array.isArray(m.content)) {\n          return {\n            role: m.role,\n            content: m.content.map((p: any) => {\n              if (p.type === 'image_url' && p.image_url?.url) {\n                const match = p.image_url.url.match(/^data:(image\\/[a-zA-Z+]+);base64,(.+)$/);\n                if (match) {\n                  return {\n                    type: 'image',\n                    source: {\n                      type: 'base64',\n                      media_type: match[1],\n                      data: match[2],\n                    },\n                  };\n                }\n              }\n              return p;\n            }),\n          };\n        }\n        return { role: m.role, content: m.content };\n      });\n\n    const headers: Record<string, string> = {\n      'Content-Type': 'application/json',\n      'anthropic-version': '2023-06-01',\n      ...(config.headers ?? {}),\n    };\n    if (config.apiKey) headers['x-api-key'] = config.apiKey;\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers,\n        body: JSON.stringify({\n          model: request.model,\n          max_tokens: request.maxTokens ?? config.maxTokens ?? 4096,\n          temperature: request.temperature ?? config.temperature ?? 0.2,\n          system: system || undefined,\n          messages,\n          stream: true,\n        }),\n        signal: request.signal,\n      });\n    } catch (err) {\n      throw new Error(`claude_stream_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`claude_stream_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n    if (!res.body) throw new Error('claude_stream_no_body');\n\n    return yield* parseSseJsonLines(\n      res.body,\n      (json) => {\n        if (json.type === 'content_block_delta' && json.delta?.type === 'text_delta') {\n          return typeof json.delta.text === 'string' ? json.delta.text : null;\n        }\n        if (json.type === 'content_block_delta' && typeof json.delta?.text === 'string') {\n          return json.delta.text;\n        }\n        return null;\n      },\n      request.signal,\n    );\n  },\n};\n\n/** Google Gemini generateContent stream */\nexport const geminiAdapter: ProviderAdapter = {\n  id: 'gemini',\n  async *stream(config, request) {\n    const fetchFn = getFetch(config);\n    const model = request.model;\n    const base = (config.baseUrl || 'https://generativelanguage.googleapis.com/v1beta').replace(/\\/$/, '');\n    const keyQ = config.apiKey ? `?key=${encodeURIComponent(config.apiKey)}` : '';\n    const url = `${base}/models/${encodeURIComponent(model)}:streamGenerateContent${keyQ}&alt=sse`;\n\n    const system = request.messages.filter((m) => m.role === 'system').map((m) => m.content).join('\\n');\n    const contents = request.messages\n      .filter((m) => m.role === 'user' || m.role === 'assistant')\n      .map((m) => {\n        let parts: any[] = [];\n        if (Array.isArray(m.content)) {\n          parts = m.content.map((p: any) => {\n            if (p.type === 'text') return { text: p.text };\n            if (p.type === 'image_url' && p.image_url?.url) {\n              const match = p.image_url.url.match(/^data:(image\\/[a-zA-Z+]+);base64,(.+)$/);\n              if (match) {\n                return {\n                  inlineData: {\n                    mimeType: match[1],\n                    data: match[2],\n                  },\n                };\n              }\n            }\n            return { text: '' };\n          });\n        } else {\n          parts = [{ text: m.content }];\n        }\n        return {\n          role: m.role === 'assistant' ? 'model' : 'user',\n          parts,\n        };\n      });\n\n    let res: Response;\n    try {\n      res = await fetchFn(url, {\n        method: 'POST',\n        headers: {\n          'Content-Type': 'application/json',\n          ...(config.headers ?? {}),\n        },\n        body: JSON.stringify({\n          contents,\n          systemInstruction: system ? { parts: [{ text: system }] } : undefined,\n          generationConfig: {\n            temperature: request.temperature ?? config.temperature ?? 0.2,\n            maxOutputTokens: request.maxTokens ?? config.maxTokens,\n          },\n        }),\n        signal: request.signal,\n      });\n    } catch (err) {\n      throw new Error(`gemini_stream_connect_failed: ${redactError(err)}`);\n    }\n\n    if (!res.ok) {\n      const body = await res.text().catch(() => '');\n      throw new Error(`gemini_stream_http_${res.status}: ${body.slice(0, 200)}`);\n    }\n    if (!res.body) throw new Error('gemini_stream_no_body');\n\n    return yield* parseSseJsonLines(\n      res.body,\n      (json) => {\n        const text = json.candidates?.[0]?.content?.parts?.[0]?.text;\n        return typeof text === 'string' && text.length > 0 ? text : null;\n      },\n      request.signal,\n    );\n  },\n};\n\nconst ADAPTERS: Record<string, ProviderAdapter> = {\n  openai: openAiAdapter,\n  claude: claudeAdapter,\n  gemini: geminiAdapter,\n  deepseek: deepSeekAdapter,\n  ollama: ollamaAdapter,\n  'openai-compatible': openAiCompatibleAdapter,\n};\n\nexport function getProviderAdapter(provider: StreamProviderId): ProviderAdapter {\n  const key = String(provider || '').toLowerCase();\n  if (ADAPTERS[key]) return ADAPTERS[key];\n  // Unknown providers fall back to OpenAI-compatible shape\n  return openAiCompatibleAdapter;\n}\n\nexport function listSupportedProviders(): StreamProviderId[] {\n  return Object.keys(ADAPTERS);\n}\n\n/**\n * Fake adapter for unit tests — yields tokens with optional delay.\n */\nexport function createFakeAdapter(tokens: string[], delayMs = 0): ProviderAdapter {\n  return {\n    id: 'fake',\n    async *stream(_config, request) {\n      for (const t of tokens) {\n        if (request.signal.aborted) return { finishReason: 'cancelled' };\n        if (delayMs > 0) {\n          await new Promise((r) => setTimeout(r, delayMs));\n        }\n        if (request.signal.aborted) return { finishReason: 'cancelled' };\n        yield t;\n      }\n      return { finishReason: 'stop' };\n    },\n  };\n}\n"}}}}