RunnableAssign

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.

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.

Get a JSON schema that represents the input 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 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.

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.

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

Generate a stream of events.

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.