{"repo": "akhilmaratha/agentic-ai-website-builder", "files": {"server/services/aiService.ts": {"c1a99293469ab566ace71aecfc2fbcf197211ed8": {"t": 1786068460.4027345, "n": 2337, "h": "9da107e041e72e62", "c": "import { runAgentPipeline, type OrchestratorResult } from \"../agents/orchestrator\";\n\n/**\n * AI Service\n * Wraps the multi-agent pipeline with LLM integration.\n */\nexport class AIService {\n  private apiKey: string;\n  private baseURL: string;\n  private model: string;\n\n  constructor() {\n    this.apiKey = process.env.OPENROUTER_API_KEY ?? \"\";\n    this.baseURL = process.env.AI_BASE_URL ?? \"https://openrouter.ai/api/v1\";\n    this.model = process.env.AI_MODEL ?? \"deepseek/deepseek-chat\";\n  }\n\n  /**\n   * Run the full multi-agent pipeline on a prompt.\n   */\n  async generateFromPrompt(\n    prompt: string,\n    options?: { skipDeployment?: boolean }\n  ): Promise<OrchestratorResult> {\n    return runAgentPipeline(prompt, options);\n  }\n\n  /**\n   * Enhance a single component via LLM (optional).\n   */\n  async enhanceWithLLM(code: string, instructions: string): Promise<string> {\n    if (!this.apiKey) return code; // no-op if no key\n\n    try {\n      const headers: Record<string, string> = {\n        \"Content-Type\": \"application/json\",\n        Authorization: `Bearer ${this.apiKey}`,\n      };\n\n      if (this.baseURL.includes(\"openrouter.ai\")) {\n        headers[\"HTTP-Referer\"] = process.env.NEXTAUTH_URL ?? \"http://localhost:3000\";\n        headers[\"X-Title\"] = \"Agentic AI Website Builder\";\n      }\n\n      const res = await fetch(`${this.baseURL}/chat/completions`, {\n        method: \"POST\",\n        headers,\n        body: JSON.stringify({\n          model: this.model,\n          messages: [\n            {\n              role: \"system\",\n              content:\n                \"You are a React/Tailwind expert. Modify the component code according to instructions. Return ONLY the modified code, no explanations.\",\n            },\n            {\n              role: \"user\",\n              content: `Instructions: ${instructions}\\n\\nCode:\\n${code}`,\n            },\n          ],\n          temperature: 0.3,\n          max_tokens: 4096,\n        }),\n      });\n\n      if (!res.ok) return code;\n\n      const data = await res.json();\n      const result = data?.choices?.[0]?.message?.content ?? code;\n\n      // Strip code fences\n      return result\n        .replace(/^```(?:tsx|jsx|typescript|javascript)?\\s*/i, \"\")\n        .replace(/\\s*```\\s*$/, \"\")\n        .trim();\n    } catch {\n      return code;\n    }\n  }\n}\n\nexport const aiService = new AIService();\n"}}}}