Abstract
The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.
Whether to print out response text.
Optional
cacheOptional
callbacksOptional
metadataOptional
tagsKeys that the language model accepts as call options.
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<CallOptions> | Partial<CallOptions>[]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<CallOptions> | Partial<CallOptions>[]Optional
batchOptions: RunnableBatchOptions & { Optional
options: Partial<CallOptions> | Partial<CallOptions>[]Optional
batchOptions: RunnableBatchOptionsBind arguments to a Runnable, returning a new Runnable.
A new RunnableBinding that, when invoked, will apply the bound args.
Abstract
generateOptional
options: string[] | CallOptionsOptional
callbacks: CallbacksAbstract
invokeOptional
options: Partial<CallOptions>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.
Abstract
predictOptional
options: string[] | CallOptionsOptional
callbacks: CallbacksAbstract
predictOptional
options: string[] | CallOptionsOptional
callbacks: CallbacksReturn a json-like object representing this LLM.
Stream output in chunks.
Optional
options: Partial<CallOptions>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<CallOptions>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 an LLM from a json-like object describing it.
Static
isGenerated using TypeDoc
Base class for language models.