export declare const llmFactoryTemplate = "import { ChatOpenAI, OpenAIEmbeddings } from \"@langchain/openai\";\nimport { ChatAnthropic } from \"@langchain/anthropic\";\nimport {\n  ChatGoogleGenerativeAI,\n  GoogleGenerativeAIEmbeddings,\n} from \"@langchain/google-genai\";\nimport type { LLMConfig } from \"@/services/llm/types\";\n\n/**\n * Creates a chat model instance based on the provider configuration\n */\nexport function createChatModel(config: LLMConfig) {\n  switch (config.provider) {\n    case \"openai\":\n      return new ChatOpenAI({\n        model: config.chatModel,\n        temperature: config.temperature,\n      });\n\n    case \"anthropic\":\n      return new ChatAnthropic({\n        model: config.chatModel,\n        temperature: config.temperature,\n      });\n\n    case \"google\":\n      return new ChatGoogleGenerativeAI({\n        model: config.chatModel,\n        temperature: config.temperature,\n      });\n\n    default:\n      throw new Error(`Unsupported LLM provider: ${config.provider}`);\n  }\n}\n\n/**\n * Creates an embeddings instance based on the provider configuration\n * Note: Anthropic doesn't provide embeddings, so we fallback to OpenAI\n */\nexport function createEmbeddings(config: LLMConfig) {\n  switch (config.provider) {\n    case \"openai\":\n      return new OpenAIEmbeddings({\n        model: config.embeddingModel,\n      });\n\n    case \"google\":\n      return new GoogleGenerativeAIEmbeddings({\n        model: config.embeddingModel,\n      });\n\n    case \"anthropic\":\n      // Anthropic doesn't have embeddings API\n      // Fallback to OpenAI embeddings\n      console.warn(\n        \"Anthropic provider selected but no native embeddings available. Falling back to OpenAI embeddings.\",\n      );\n      return new OpenAIEmbeddings({\n        model: config.embeddingModel,\n      });\n\n    default:\n      throw new Error(\n        `Unsupported LLM provider for embeddings: ${config.provider}`,\n      );\n  }\n}\n";