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" }, "class_name": { "title": "Class Name", "type": "string", "default": "LangChainLLM" } } }
- Config
arbitrary_types_allowed: bool = True
- Fields
- Validators
_validate_callback_manager
»callback_manager
- 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.