Optional
audioOptional
callbacksCallbacks for this call and any sub-calls (eg. a Chain calling an LLM). Tags are passed to all callbacks, metadata is passed to handle*Start callbacks.
Optional
configurableRuntime values for attributes previously made configurable on this Runnable, or sub-Runnables.
Optional
function_Optional
functionsOptional
maxMaximum number of parallel calls to make.
Optional
metadataMetadata for this call and any sub-calls (eg. a Chain calling an LLM). Keys should be strings, values should be JSON-serializable.
Optional
modalitiesOutput types that you would like the model to generate for this request. Most models are capable of generating text, which is the default:
["text"]
The gpt-4o-audio-preview
model can also be used to
generate audio. To request that
this model generate both text and audio responses, you can use:
["text", "audio"]
Optional
optionsAdditional options to pass to the underlying axios request.
Optional
parallel_Whether or not to restrict the ability to call multiple tools in one response.
Optional
predictionStatic predicted output content, such as the content of a text file that is being regenerated. Learn more.
Optional
promptOptional
recursionMaximum number of times a call can recurse. If not provided, defaults to 25.
Optional
response_Optional
runUnique identifier for the tracer run for this call. If not provided, a new UUID will be generated.
Optional
runName for the tracer run for this call. Defaults to the name of the class.
Optional
seedOptional
signalAbort signal for this call. If provided, the call will be aborted when the signal is aborted.
Optional
stopStop tokens to use for this call. If not provided, the default stop tokens for the model will be used.
Optional
stream_Additional options to pass to streamed completions. If provided takes precedence over "streamUsage" set at initialization time.
Whether or not to include token usage in the stream.
If set to true
, this will include an additional
chunk at the end of the stream with the token usage.
Optional
strictIf true
, model output is guaranteed to exactly match the JSON Schema
provided in the tool definition. If true
, the input schema will also be
validated according to
https://platform.openai.com/docs/guides/structured-outputs/supported-schemas.
If false
, input schema will not be validated and model output will not
be validated.
If undefined
, strict
argument will not be passed to the model.
Optional
tagsTags for this call and any sub-calls (eg. a Chain calling an LLM). You can use these to filter calls.
Optional
timeoutTimeout for this call in milliseconds.
Optional
tool_Optional
tools
Parameters for audio output. Required when audio output is requested with
modalities: ["audio"]
. Learn more.