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/agents/{id}/datasets/tune

Create Tuning Dataset

Create a new tuning Dataset for the specified Agent using the provided JSONL or CSV file. A Dataset is a versioned collection of samples conforming to a particular schema, and can be used as a source of training and test data for tuning jobs.

Each Dataset is versioned and validated against its schema during creation and subsequent updates. The provided Dataset file must conform to the schema defined for the dataset_type.

File schema for dataset_type tuning_set is a CSV file or a JSONL file where each line is one JSON object. The following keys are required:

  • knowledge (list[str]): Retrieved knowledge used to generate the reference answer. knowledge is a list of retrieved text chunks.

  • reference (str): The gold-standard answer to the prompt.

  • guideline (str): Guidelines for model output. If you do not have special guidelines for the model's output, you can use the System Prompt defined in your Agent configuration as the guideline.

  • prompt (str): Question for the model to respond to.

For examples of what tuning_set should look like, check out our Tune & Evaluation Guide.

post/agents/{agent_id}/datasets/tune

Path parameters

agent_idstring uuid required

Agent ID to associate with the tune dataset

Agent ID to associate with the tune dataset

Response

Successful Response

versionstring required

Version number of the dataset

namestring required

Name of the dataset

type'tuning_set' | 'evaluation_set' | 'evaluation_set_prediction' | 'evaluation_run_result' required

Changes