fake_chat_models

Async callback manager for LLM run.

Callback manager for LLM run.

Base class for chat models.

Simplified implementation for a chat model to inherit from.

Message from an AI.

An AIMessage is returned from a chat model as a response to a prompt.

This message represents the output of the model and consists of both the raw output as returned by the model and standardized fields (e.g., tool calls, usage metadata) added by the LangChain framework.

Message chunk from an AI (yielded when streaming).

A single chat generation output.

A subclass of Generation that represents the response from a chat model that generates chat messages.

The message attribute is a structured representation of the chat message. Most of the time, the message will be of type AIMessage.

Users working with chat models will usually access information via either AIMessage (returned from runnable interfaces) or LLMResult (available via callbacks).

ChatGeneration chunk.

ChatGeneration chunks can be concatenated with other ChatGeneration chunks.

Use to represent the result of a chat model call with a single prompt.

This container is used internally by some implementations of chat model, it will eventually be mapped to a more general LLMResult object, and then projected into an AIMessage object.

LangChain users working with chat models will usually access information via AIMessage (returned from runnable interfaces) or LLMResult (available via callbacks). Please refer the AIMessage and LLMResult schema documentation for more information.

Configuration for a Runnable.

# Parent sets tags
chain.invoke(input, config={"tags": ["parent"]})
# Child automatically inherits and can add:
# ensure_config({"tags": ["child"]}) -> {"tags": ["parent", "child"]}

Fake chat model for testing purposes.

Fake error for testing purposes.

Fake chat model for testing purposes.

Fake Chat Model wrapper for testing purposes.

Generic fake chat model that can be used to test the chat model interface.

• Chat model should be usable in both sync and async tests
• Invokes on_llm_new_token to allow for testing of callback related code for new tokens.
• Includes logic to break messages into message chunk to facilitate testing of streaming.

Generic fake chat model that can be used to test the chat model interface.

• Chat model should be usable in both sync and async tests