PydanticOutputParser

In streaming mode, whether to yield diffs between the previous and current parsed

Invoke the retriever to get relevant documents.

Asynchronously invoke the retriever to get relevant documents.

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.

The name of the function.

Convert the graph to a JSON-serializable format.

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 True as this class is serializable.

Get the namespace of the LangChain object.

Return a unique identifier for this class for serialization purposes.

Convert the graph to a JSON-serializable format.

Serialize a "not implemented" object.

The name of the function.

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.

Merge the Dict input with the output produced by the mapping argument.

Invoke the retriever to get relevant documents.

Asynchronously invoke the retriever to get relevant documents.

Run invoke in parallel on a list of inputs.

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 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.

Map a function to multiple iterables.

Add fallbacks to a Runnable, returning a new Runnable.

Create a BaseTool from a Runnable.