rawi/dist/chunk-6GE6TGOK.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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credentials.providerSettings.apiVersion\n        : '2024-10-01-preview';\n\n    const azureProvider = createAzure({\n      apiKey: credentials.apiKey,\n      resourceName: resourceName,\n      apiVersion: apiVersion,\n    });\n\n    const result = streamText({\n      model: azureProvider(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    if (\n      error instanceof Error &&\n      (error.message.includes('not found') ||\n        error.message.includes('does not exist') ||\n        error.message.includes('deployment'))\n    ) {\n      throw new Error(\n        `Error calling Azure OpenAI streaming API: Deployment \"${credentials.model}\" not found. ` +\n          `Make sure you've correctly entered your deployment name (not the model name like \"gpt-4\"). ` +\n          `Original error: ${error.message}`,\n      );\n    }\n\n    throw new Error(\n      `Error calling Azure OpenAI streaming API: ${\n        error instanceof Error ? error.message : String(error)\n      }`,\n    );\n  }\n};\n\nexport const azureChatProvider: ChatProvider = {\n  name: 'azure',\n  displayName: '🔷 Azure OpenAI',\n\n  async streamChat(\n    credentials: ChatCredentials,\n    messages: ModelMessage[],\n    options: ChatStreamOptions = {},\n  ): Promise<AsyncIterable<string>> {\n    const settings = credentials.providerSettings || {};\n    const apiKey = settings.apiKey || credentials.apiKey;\n\n    if (!apiKey) {\n      throw new Error('API key is required for Azure OpenAI');\n    }\n\n    if (!settings.resourceName) {\n      throw new Error('Azure resource name is required');\n    }\n\n    const resourceName = settings.resourceName;\n    const apiVersion = settings.apiVersion || '2024-10-01-preview';\n\n    const azureProvider = createAzure({\n      apiKey: apiKey,\n      resourceName: resourceName,\n      apiVersion: apiVersion,\n    });\n\n    const result = streamText({\n      model: azureProvider(credentials.model),\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 generateWithAzure = async (\n  options: ExecGenerationOptions,\n): Promise<ExecGenerationResult> => {\n  const startTime = Date.now();\n\n  try {\n    if (!options.credentials.apiKey) {\n      throw new Error('API key is required for Azure OpenAI');\n    }\n\n    const settings = options.credentials.providerSettings as AzureSettings;\n\n    if (!settings?.resourceName) {\n      throw new Error('Azure resource name is required');\n    }\n\n    const resourceName = settings.resourceName;\n    const apiVersion = settings.apiVersion || '2024-10-01-preview';\n\n    const azureProvider = createAzure({\n      apiKey: options.credentials.apiKey,\n      resourceName: resourceName,\n      apiVersion: apiVersion,\n    });\n\n    const result = await generateText({\n      model: azureProvider(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(`Azure exec generation failed: ${error}`);\n  }\n};\n"]}