Protected clientOptional configProtected Optional interruptProtected Optional interruptProtected lc_Optional nameA map of aliases for constructor args. Keys are the attribute names, e.g. "foo". Values are the alias that will replace the key in serialization. This is used to eg. make argument names match Python.
A map of additional attributes to merge with constructor args. Keys are the attribute names, e.g. "foo". Values are the attribute values, which will be serialized. These attributes need to be accepted by the constructor as arguments.
The final serialized identifier for the module.
A map of secrets, which will be omitted from serialization. Keys are paths to the secret in constructor args, e.g. "foo.bar.baz". Values are the secret ids, which will be used when deserializing.
Internal method that handles batching and configuration for a runnable It takes a function, input values, and optional configuration, and returns a promise that resolves to the output values.
The function to be executed for each input value.
Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>[]Optional runManagers: (undefined | CallbackManagerForChainRun)[]Optional batchOptions: RunnableBatchOptionsOptional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType> & { Optional batchOptions: RunnableBatchOptionsA promise that resolves to the output values.
Protected _callOptional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>> & { Protected _createProtected _getProtected _getProtected _getProtected _getProtected _sanitizeProtected _separateOptional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>Protected _streamProtected _transformHelper method to transform an Iterator of Input values into an Iterator of
Output values, with callbacks.
Use this to implement stream() or transform() in Runnable subclasses.
Optional runManager: CallbackManagerForChainRunOptional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>> & { Convert a runnable to a tool. Return a new instance of RunnableToolLike
which contains the runnable, name, description and schema.
Optional description?: stringThe description of the tool. Falls back to the description on the Zod schema if not provided, or undefined if neither are provided.
Optional name?: stringThe name of the tool. If not provided, it will default to the name of the runnable.
The Zod schema for the input of the tool. Infers the Zod type from the input type of the runnable.
An instance of RunnableToolLike which is a runnable that can be used as a tool.
Default implementation of batch, which calls invoke N times. Subclasses should override this method if they can batch more efficiently.
Array of inputs to each batch call.
Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>> | Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>[]Either a single call options object to apply to each batch call or an array for each call.
Optional batchOptions: RunnableBatchOptions & { An array of RunOutputs, or mixed RunOutputs and errors if batchOptions.returnExceptions is set
Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>> | Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>[]Optional batchOptions: RunnableBatchOptions & { Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>> | Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>[]Optional batchOptions: RunnableBatchOptionsBind arguments to a Runnable, returning a new Runnable.
A new RunnableBinding that, when invoked, will apply the bound args.
Optional options: { Optional subgraphs?: booleanOptional options: CheckpointListOptionsUse getSubgraphsAsync instead. The async method will become the default in the next minor release.
Optional namespace: stringOptional recurse: booleanOptional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>Return a new Runnable that maps a list of inputs to a list of outputs, by calling invoke() with each input.
Create a new runnable sequence that runs each individual runnable in series, piping the output of one runnable into another runnable or runnable-like.
A runnable, function, or object whose values are functions or runnables.
A new runnable sequence.
Stream output in chunks.
Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>A readable stream that is also an iterable.
Stream all output from a runnable, as reported to the callback system. This includes all inner runs of LLMs, Retrievers, Tools, etc. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. The jsonpatch ops can be applied in order to construct state.
Optional options: Partial<PregelOptions<Nn, Cc, ConfigurableFieldType>>Optional streamOptions: Omit<LogStreamCallbackHandlerInput, "autoClose">Default implementation of transform, which buffers input and then calls stream. Subclasses should override this method if they can start producing output while input is still being generated.
Optional asNode: stringCreate a new runnable from the current one that will try invoking other passed fallback runnables if the initial invocation fails.
A new RunnableWithFallbacks.
Bind lifecycle listeners to a Runnable, returning a new Runnable. The Run object contains information about the run, including its id, type, input, output, error, startTime, endTime, and any tags or metadata added to the run.
The object containing the callback functions.
Optional onCalled after the runnable finishes running, with the Run object.
Optional config: RunnableConfig<Record<string, any>>Optional onCalled if the runnable throws an error, with the Run object.
Optional config: RunnableConfig<Record<string, any>>Optional onCalled before the runnable starts running, with the Run object.
Optional config: RunnableConfig<Record<string, any>>Add retry logic to an existing runnable.
Optional fields: { Optional onOptional stopA new RunnableRetry that, when invoked, will retry according to the parameters.
Static isStatic lc_
The
RemoteGraphclass is a client implementation for calling remote APIs that implement the LangGraph Server API specification.For example, the
RemoteGraphclass can be used to call APIs from deployments on LangGraph Cloud.RemoteGraphbehaves the same way as aStateGraphand can be used directly as a node in anotherStateGraph.Example