openai_tools

Create an invalid tool call.

Create a tool call.

Parse a JSON string that may be missing closing braces.

Check if the given class is Pydantic v1-like.

Check if the given class is Pydantic v2-like.

Parse a single tool call.

Create an InvalidToolCall from a raw tool call.

Parse a list of tool calls.

Exception that output parsers should raise to signify a parsing error.

This exists to differentiate parsing errors from other code or execution errors that also may arise inside the output parser.

OutputParserException will be available to catch and handle in ways to fix the parsing error, while other errors will be raised.

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.

Allowance for errors made by LLM.

Here we add an error key to surface errors made during generation (e.g., invalid JSON arguments.)

Base class for an output parser that can handle streaming input.

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).

A single text generation output.

Generation represents the response from an "old-fashioned" LLM (string-in, string-out) that generates regular text (not chat messages).

This model is used internally by chat model and 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 to AIMessage and LLMResult for more information.

Parse tools from OpenAI response.

Parse tools from OpenAI response.

Parse tools from OpenAI response.