Whether to print out response text.
Optional callbacksOptional criterionOptional evaluationOptional llmOptional memoryOptional metadataOptional skipOptional tagsProtected lc_A 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.
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<BaseCallbackConfig>[]Optional runManagers: (undefined | CallbackManagerForChainRun)[]Optional batchOptions: RunnableBatchOptionsOptional options: Partial<BaseCallbackConfig & { Optional batchOptions: RunnableBatchOptionsA promise that resolves to the output values.
Optional config: Callbacks | BaseCallbackConfigDefault streaming implementation. Subclasses should override this method if they support streaming output.
Optional options: Partial<BaseCallbackConfig>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 | BaseCallbackConfigCheck if the evaluation arguments are valid.
Optional reference: stringThe reference label.
Optional input: stringThe input string.
If the evaluator requires an input string but none is provided, or if the evaluator requires a reference label but none is provided.
Evaluate the output string pairs.
Optional callOptions: BaseLanguageModelCallOptionsOptional config: Callbacks | BaseCallbackConfigA dictionary containing the preference, scores, and/or other information.
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.
Format prompt with values and pass to LLM
keys to pass to prompt template
Optional callbackManager: CallbackManagerCallbackManager to use
Completion from LLM.
llm.predict({ adjective: "funny" })
Optional config: Callbacks | BaseCallbackConfigStream 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 deserializeStatic fromLLMCreate a new instance of the PairwiseStringEvalChain.
Optional criteria: CriteriaLikeThe criteria to use for evaluation.
Optional chainOptions: Partial<Omit<LLMEvalChainInput<EvalOutputType, BaseLanguageModel<any, BaseLanguageModelCallOptions>>, "llm">>Options to pass to the chain.
Static isStatic lc_Static resolveOptional criteria: CriteriaLikeStatic resolveOptional prompt: BasePromptTemplate<any, BasePromptValue, any>Protected _callOptional options: Partial<BaseCallbackConfig> & { Protected _formatProtected _getProtected _separateProtected _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<BaseCallbackConfig>Optional options: BaseCallbackConfig & { Generated using TypeDoc
A chain for comparing two outputs, such as the outputs of two models, prompts, or outputs of a single model on similar inputs.