LangChainLLM

pydantic model llama_index.llms.langchain.LangChainLLM

Adapter for a LangChain LLM.

Show JSON schema

{
   "title": "LangChainLLM",
   "description": "Adapter for a LangChain LLM.",
   "type": "object",
   "properties": {
      "callback_manager": {
         "title": "Callback Manager"
      },
      "system_prompt": {
         "title": "System Prompt",
         "description": "System prompt for LLM calls.",
         "type": "string"
      },
      "messages_to_prompt": {
         "title": "Messages To Prompt"
      },
      "completion_to_prompt": {
         "title": "Completion To Prompt"
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "pydantic_program_mode": {
         "default": "default",
         "allOf": [
            {
               "$ref": "#/definitions/PydanticProgramMode"
            }
         ]
      },
      "query_wrapper_prompt": {
         "title": "Query Wrapper Prompt"
      },
      "class_name": {
         "title": "Class Name",
         "type": "string",
         "default": "LangChainLLM"
      }
   },
   "definitions": {
      "PydanticProgramMode": {
         "title": "PydanticProgramMode",
         "description": "Pydantic program mode.",
         "enum": [
            "default",
            "openai",
            "llm",
            "guidance",
            "lm-format-enforcer"
         ],
         "type": "string"
      }
   }
}

Config

• arbitrary_types_allowed: bool = True

Fields

Validators

• _validate_callback_manager » callback_manager

• set_completion_to_prompt » completion_to_prompt

• set_messages_to_prompt » messages_to_prompt

async achat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Async chat endpoint for LLM.

async acomplete(*args: Any, **kwargs: Any) → Any

Async completion endpoint for LLM.

async astream_chat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Async streaming chat endpoint for LLM.

async astream_complete(*args: Any, **kwargs: Any) → Any

Async streaming completion endpoint for LLM.

chat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Chat endpoint for LLM.

classmethod class_name() → str

Get the class name, used as a unique ID in serialization.

This provides a key that makes serialization robust against actual class name changes.

complete(*args: Any, **kwargs: Any) → Any

Completion endpoint for LLM.

stream_chat(messages: Sequence[ChatMessage], **kwargs: Any) → Any

Streaming chat endpoint for LLM.

stream_complete(*args: Any, **kwargs: Any) → Any

Streaming completion endpoint for LLM.

property llm: BaseLanguageModel

property metadata: LLMMetadata

LLM metadata.