rawi/dist/chunk-GBWNCRXL.cjs.map

Rawi (راوي) is the developer-friendly AI CLI that brings the power of 11 major AI providers directly to your terminal. With seamless shell integration, persistent conversations, and 200+ specialized prompt templates, Rawi transforms your command line into

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ollamaSettings : undefined,\n    );\n\n    const result = streamText({\n      model: ollamaProvider(credentials.model),\n      prompt,\n      temperature: credentials.temperature || 0.7,\n      maxOutputTokens: credentials.maxTokens || 2048,\n    });\n\n    return {\n      textStream: result.textStream,\n      fullResponse: result.text,\n    };\n  } catch (error) {\n    throw new Error(\n      `Error calling Ollama streaming API: ${\n        error instanceof Error ? error.message : String(error)\n      }`,\n    );\n  }\n};\n\nexport const ollamaChatProvider: ChatProvider = {\n  name: 'ollama',\n  displayName: '🟢 Ollama',\n\n  async streamChat(\n    credentials: ChatCredentials,\n    messages: ModelMessage[],\n    options: ChatStreamOptions = {},\n  ): Promise<AsyncIterable<string>> {\n    const ollamaSettings: Record<string, any> = {};\n\n    if (\n      credentials.providerSettings &&\n      'baseURL' in credentials.providerSettings\n    ) {\n      ollamaSettings.baseURL = credentials.providerSettings.baseURL;\n    }\n\n    const result = streamText({\n      model: ollama(credentials.model, ollamaSettings),\n      messages,\n      temperature: credentials.temperature || options.temperature || 0.7,\n      maxOutputTokens: credentials.maxTokens || options.maxTokens || 2048,\n    });\n\n    return result.textStream;\n  },\n};\n\nexport const generateWithOllama = async (\n  options: ExecGenerationOptions,\n): Promise<ExecGenerationResult> => {\n  const startTime = Date.now();\n\n  try {\n    const ollamaSettings: Record<string, any> = {};\n\n    if (\n      options.credentials.providerSettings &&\n      'baseURL' in options.credentials.providerSettings\n    ) {\n      ollamaSettings.baseURL = options.credentials.providerSettings.baseURL;\n    }\n\n    const ollamaProvider = createOllama(\n      Object.keys(ollamaSettings).length > 0 ? ollamaSettings : undefined,\n    );\n\n    const result = await generateText({\n      model: ollamaProvider(options.credentials.model),\n      system: options.systemPrompt,\n      prompt: options.userPrompt,\n    });\n\n    const generationTime = Date.now() - startTime;\n\n    const command = parseCommandFromResponse(result.text);\n\n    return {\n      command,\n      generationTime,\n    };\n  } catch (error) {\n    throw new Error(`Ollama exec generation failed: ${error}`);\n  }\n};\n"]}