Whether to print out response text.
Optional
callbacksOptional
criterionOptional
evaluationOptional
llmOptional
memoryOptional
metadataOptional
skipOptional
tagsCall 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
resolveOptional
criteria: CriteriaLikeStatic
resolveOptional
prompt: BasePromptTemplate<any, BasePromptValue, any>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, with labeled preferences.