An PromptTemplate used to format a single example.
String separator used to join the prefix, the examples, and suffix.
A list of variable names the prompt template expects
Partial variables
A prompt template string to put before the examples.
""
A prompt template string to put after the examples.
The format of the prompt template. Options are: 'f-string'
Whether or not to try validating the template on initialization.
Optional exampleAn BaseExampleSelector Examples to format into the prompt. Exactly one of this or examples must be provided.
Optional examplesExamples to format into the prompt. Exactly one of this or exampleSelector must be provided.
Optional outputHow to parse the output of calling an LLM on this formatted prompt
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.
Formats the prompt with the given values.
The values to format the prompt with.
A promise that resolves to a string representing the formatted prompt.
Formats the prompt given the input values and returns a formatted prompt value.
The input values to format the prompt.
A Promise that resolves to a formatted prompt value.
Invokes the prompt template with the given input and options.
The input to invoke the prompt template with.
Optional options: BaseCallbackConfigOptional configuration for the callback.
A Promise that resolves to the output of the prompt template.
Return a new Runnable that maps a list of inputs to a list of outputs, by calling invoke() with each input.
Merges partial variables and user variables.
The user variables to merge with the partial variables.
A Promise that resolves to an object containing the merged variables.
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.
Return a json-like object representing this prompt template.
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 prompt template from a json-like object describing it.
Deserializing needs to be async because templates (e.g. FewShotPromptTemplate) can reference remote resources that we read asynchronously with a web request.
Static isGenerated using TypeDoc
Prompt template that contains few-shot examples.