ChatWatsonxInput

Callbacks 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.

Runtime values for attributes previously made configurable on this Runnable, or sub-Runnables.

Whether to disable streaming.

If streaming is bypassed, then stream() will defer to invoke().

• If true, will always bypass streaming case.
• If false (default), will always use streaming case if available.

Describes the format of structured outputs. This should be provided if an output is considered to be structured

The maximum number of concurrent calls that can be made. Defaults to Infinity, which means no limit.

The maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 6.

Metadata for this call and any sub-calls (eg. a Chain calling an LLM). Keys should be strings, values should be JSON-serializable.

Custom handler to handle failed attempts. Takes the originally thrown error object as input, and should itself throw an error if the input error is not retryable.

Version of AIMessage output format to store in message content.

AIMessage.contentBlocks will lazily parse the contents of content into a standard format. This flag can be used to additionally store the standard format as the message content, e.g., for serialization purposes.

• "v0": provider-specific format in content (can lazily parse with .contentBlocks)
• "v1": standardized format in content (consistent with .contentBlocks)

You can also set LC_OUTPUT_VERSION as an environment variable to "v1" to enable this by default.

Maximum number of times a call can recurse. If not provided, defaults to 25.

Unique identifier for the tracer run for this call. If not provided, a new UUID will be generated.

Name for the tracer run for this call. Defaults to the name of the class.

Tags for this call and any sub-calls (eg. a Chain calling an LLM). You can use these to filter calls.

Timeout for this call in milliseconds.

Specifies how the chat model should use tools.