RunnableSerializable

Get the namespace of the LangChain object.

Return a unique identifier for this class for serialization purposes.

Serialize a "not implemented" object.

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.

Generate a stream of events synchronously.

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.