Utilities for the root listener.
Return a dict representation of an object.
Base class for exceptions in tracers module.
Class for storing a piece of text and associated metadata.
Document is for retrieval workflows, not chat I/O. For sending text
to an LLM in a conversation, use message types from langchain.messages.
Base abstract message class.
Messages are the inputs and outputs of a chat model.
Examples include HumanMessage,
AIMessage, and
SystemMessage.
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.
GenerationChunk, which can be concatenated with other Generation chunks.
A container for results of an LLM call.
Both chat models and LLMs generate an LLMResult object. This object contains the
generated outputs and any additional information that the model provider wants to
return.
