NumberedListOutputParser

Transform the input into the output format.

Async transform the input into the output format.

Return the input type for the parser.

Return the output type for the parser.

Parse a list of candidate model Generation objects into a specific format.

Parse a list of candidate model Generation objects into a specific format.

Async parse a single string model output into some structure.

Parse the output of an LLM call with the input prompt for context.

Return dictionary representation of output parser.

Parse a list of candidate model Generation objects into a specific format.

Parse a list of candidate model Generation objects into a specific format.

The name of the Runnable.

Serialize the Runnable to JSON.

Configure particular Runnable fields at runtime.

Configure alternatives for Runnable objects that can be set at runtime.

A map of constructor argument names to secret ids.

List of attribute names that should be included in the serialized kwargs.

Is this class serializable?

Get the namespace of the LangChain object.

Return a unique identifier for this class for serialization purposes.

Serialize the object to JSON.

Serialize a "not implemented" object.

The name of the Runnable. Used for debugging and tracing.

Input type.

Output Type.

The type of input this Runnable accepts specified as a Pydantic model.

Output schema.

List configurable fields for this Runnable.

Get the name of the Runnable.

Get a Pydantic model that can be used to validate input to the Runnable.

Get a JSON schema that represents the input to the Runnable.

Get a Pydantic model that can be used to validate output to the Runnable.

Get a JSON schema that represents the output of the Runnable.

The type of config this Runnable accepts specified as a Pydantic model.

Get a JSON schema that represents the config of the Runnable.

Return a graph representation of this Runnable.

Return a list of prompts used by this Runnable.

Pipe Runnable objects.

Pick keys from the output dict of this Runnable.

Assigns new fields to the dict output of this Runnable.

Transform a single input into an output.

Transform a single input into an output.

Default implementation runs invoke in parallel using a thread pool executor.

Run invoke in parallel on a list of inputs.

Default implementation runs ainvoke in parallel using asyncio.gather.

Run ainvoke in parallel on a list of inputs.

Default implementation of stream, which calls invoke.

Default implementation of astream, which calls ainvoke.

Stream all output from a Runnable, as reported to the callback system.

Generate a stream of events.

Transform inputs to outputs.

Transform inputs to outputs.

Bind arguments to a Runnable, returning a new Runnable.

Bind config to a Runnable, returning a new Runnable.

Bind lifecycle listeners to a Runnable, returning a new Runnable.

Bind async lifecycle listeners to a Runnable.

Bind input and output types to a Runnable, returning a new Runnable.

Create a new Runnable that retries the original Runnable on exceptions.

Return a new Runnable that maps a list of inputs to a list of outputs.

Add fallbacks to a Runnable, returning a new Runnable.

Create a BaseTool from a Runnable.