How to handle errors raised by the agent's output parser.
Defaults to False
, which raises the error.
If true
, the error will be sent back to the LLM as an observation.
If a string, the string itself will be sent to the LLM as an observation.
If a callable function, the function will be called with the exception
as an argument, and the result of that function will be passed to the agent
as an observation.
Whether to print out response text.
Optional
callbacksOptional
maxOptional
memoryOptional
metadataOptional
tagsMethod that checks if the agent execution should continue based on the number of iterations.
The current number of iterations.
A boolean indicating whether the agent execution should continue.
Call the chain on all inputs in the list
Optional
config: (Callbacks | BaseCallbackConfig)[]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<BaseCallbackConfig> | Partial<BaseCallbackConfig>[]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<BaseCallbackConfig> | Partial<BaseCallbackConfig>[]Optional
batchOptions: RunnableBatchOptions & { Optional
options: Partial<BaseCallbackConfig> | Partial<BaseCallbackConfig>[]Optional
batchOptions: RunnableBatchOptionsBind arguments to a Runnable, returning a new Runnable.
A new RunnableBinding that, when invoked, will apply the bound args.
Run the core logic of this chain and add to output if desired.
Wraps _call and handles memory.
Optional
config: Callbacks | BaseCallbackConfigOptional
tags: string[]Invoke the chain with the provided input and returns the output.
Input values for the chain run.
Optional
config: BaseCallbackConfigOptional configuration for the Runnable.
Promise that resolves with the output of the chain run.
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.
Optional
config: Callbacks | BaseCallbackConfigReturn a json-like object representing this chain.
Stream output in chunks.
Optional
options: Partial<BaseCallbackConfig>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<BaseCallbackConfig>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.
Bind config to a Runnable, returning a new Runnable.
New configuration parameters to attach to the new runnable.
A new RunnableBinding with a config matching what's passed.
Create a new runnable from the current one that will try invoking other passed fallback runnables if the initial invocation fails.
Other runnables to call if the runnable errors.
A new RunnableWithFallbacks.
Add retry logic to an existing runnable.
Optional
fields: { Optional
onOptional
stopA new RunnableRetry that, when invoked, will retry according to the parameters.
Static
deserializeLoad a chain from a json-like object describing it.
Static
fromCreate from agent and a list of tools.
Static
isGenerated using TypeDoc
A chain managing an agent using tools.
Example