feat(ai-client-factory): Add xAI and OpenRouter provider support, enhance tests

- Integrate  for Grok models and  for OpenRouter into the AI client factory ().
- Install necessary provider dependencies (, , and other related  packages, updated  core).
- Update environment variable checks () and client creation logic () for the new providers.
- Add and correct unit tests in  to cover xAI and OpenRouter instantiation, error handling, and environment variable resolution.
- Corrected mock paths and names in tests to align with official package names.
- Verify all tests (28 total) pass for .
- Confirm test coverage remains high (~90%) after additions.

tasks/task_061.txt

@@ -271,7 +271,7 @@ The configuration management module should be updated to:
 7. Implement command output formatting for model listings
 8. Testing approach: Create integration tests that verify CLI commands correctly interact with the configuration manager
 
-## 3. Integrate Vercel AI SDK and Create Client Factory [pending]
+## 3. Integrate Vercel AI SDK and Create Client Factory [done]
 ### Dependencies: 61.1
 ### Description: Set up Vercel AI SDK integration and implement a client factory pattern to create and manage AI model clients.
 ### Details:

tasks/tasks.json

@@ -2775,7 +2775,7 @@
             1
           ],
           "details": "1. Install Vercel AI SDK: `npm install @vercel/ai`\n2. Create an `ai-client-factory.js` module that implements the Factory pattern\n3. Define client creation functions for each supported model (Claude, OpenAI, Ollama, Gemini, OpenRouter, Perplexity, Grok)\n4. Implement error handling for missing API keys or configuration issues\n5. Add caching mechanism to reuse existing clients\n6. Create a unified interface for all clients regardless of the underlying model\n7. Implement client validation to ensure proper initialization\n8. Testing approach: Mock API responses to test client creation and error handling\n\n<info added on 2025-04-14T23:02:30.519Z>\nHere's additional information for the client factory implementation:\n\nFor the client factory implementation:\n\n1. Structure the factory with a modular approach:\n```javascript\n// ai-client-factory.js\nimport { createOpenAI } from '@ai-sdk/openai';\nimport { createAnthropic } from '@ai-sdk/anthropic';\nimport { createGoogle } from '@ai-sdk/google';\nimport { createPerplexity } from '@ai-sdk/perplexity';\n\nconst clientCache = new Map();\n\nexport function createClientInstance(providerName, options = {}) {\n  // Implementation details below\n}\n```\n\n2. For OpenAI-compatible providers (Ollama), implement specific configuration:\n```javascript\ncase 'ollama':\n  const ollamaBaseUrl = process.env.OLLAMA_BASE_URL || 'http://localhost:11434';\n  return createOpenAI({\n    baseURL: ollamaBaseUrl,\n    apiKey: 'ollama', // Ollama doesn't require a real API key\n    ...options\n  });\n```\n\n3. Add provider-specific model mapping:\n```javascript\n// Model mapping helper\nconst getModelForProvider = (provider, requestedModel) => {\n  const modelMappings = {\n    openai: {\n      default: 'gpt-3.5-turbo',\n      // Add other mappings\n    },\n    anthropic: {\n      default: 'claude-3-opus-20240229',\n      // Add other mappings\n    },\n    // Add mappings for other providers\n  };\n  \n  return (modelMappings[provider] && modelMappings[provider][requestedModel]) \n    || modelMappings[provider]?.default \n    || requestedModel;\n};\n```\n\n4. Implement caching with provider+model as key:\n```javascript\nexport function getClient(providerName, model) {\n  const cacheKey = `${providerName}:${model || 'default'}`;\n  \n  if (clientCache.has(cacheKey)) {\n    return clientCache.get(cacheKey);\n  }\n  \n  const modelName = getModelForProvider(providerName, model);\n  const client = createClientInstance(providerName, { model: modelName });\n  clientCache.set(cacheKey, client);\n  \n  return client;\n}\n```\n\n5. Add detailed environment variable validation:\n```javascript\nfunction validateEnvironment(provider) {\n  const requirements = {\n    openai: ['OPENAI_API_KEY'],\n    anthropic: ['ANTHROPIC_API_KEY'],\n    google: ['GOOGLE_API_KEY'],\n    perplexity: ['PERPLEXITY_API_KEY'],\n    openrouter: ['OPENROUTER_API_KEY'],\n    ollama: ['OLLAMA_BASE_URL'],\n    grok: ['GROK_API_KEY', 'GROK_BASE_URL']\n  };\n  \n  const missing = requirements[provider]?.filter(env => !process.env[env]) || [];\n  \n  if (missing.length > 0) {\n    throw new Error(`Missing environment variables for ${provider}: ${missing.join(', ')}`);\n  }\n}\n```\n\n6. Add Jest test examples:\n```javascript\n// ai-client-factory.test.js\ndescribe('AI Client Factory', () => {\n  beforeEach(() => {\n    // Mock environment variables\n    process.env.OPENAI_API_KEY = 'test-openai-key';\n    process.env.ANTHROPIC_API_KEY = 'test-anthropic-key';\n    // Add other mocks\n  });\n  \n  test('creates OpenAI client with correct configuration', () => {\n    const client = getClient('openai');\n    expect(client).toBeDefined();\n    // Add assertions for client configuration\n  });\n  \n  test('throws error when environment variables are missing', () => {\n    delete process.env.OPENAI_API_KEY;\n    expect(() => getClient('openai')).toThrow(/Missing environment variables/);\n  });\n  \n  // Add tests for other providers\n});\n```\n</info added on 2025-04-14T23:02:30.519Z>",
-          "status": "pending",
+          "status": "done",
           "parentTaskId": 61
         },
         {