Create an Evaluation Run.
Optionally specify the Dataset and version to be evaluated.
Humanloop will automatically start generating Logs and running Evaluators where
orchestrated=true. If you are generating Logs yourself, you can set orchestrated=false
and then generate and submit the required Logs via the API.
If dataset and version are provided, you can set use_existing_logs=True to reuse existing Logs,
avoiding generating new Logs unnecessarily. Logs that are associated with the specified Version and have source_datapoint_id
referencing a datapoint in the specified Dataset will be associated with the Run.
To keep updated on the progress of the Run, you can poll the Run using
the GET /evaluations/{id}/runs endpoint and check its status.
Whether the Run is orchestrated by Humanloop. If True, Humanloop will generate Logs for the Run; dataset and version must be provided. If False, a log for the Prompt/Tool should be submitted by the user via the API.
If True, the Run will be initialized with existing Logs associated with the Dataset and Version. If False, the Run will be initialized with no Logs. Can only be set to True when both dataset and version are provided.