Alert
This method of generating simulated data is different from the SDK. If you wish to create trait-based simulations, use the SDKOverview
Generate synthetic conversation rows inline by providing example prompts and a few seed examples. The service uses the specified model to fan out new samples that you can immediately download or store. This JSON variant is convenient when building tooling that programmatically defines the schema and instructions.Request body fields
model_id
: UUID of the model that should author the synthetic responses.multiplier
: Integer multiplier applied to the number of examples. If you send three examples and setmultiplier
to4
, the service targets twelve generations.examples
: Array of objects. Each example can include any keys your pipeline understands (commonlyconv_prefix
,response
,context
, etc.).prompt
: Instruction prompt that explains how the model should transform the examples when creating new rows.
Example request
Response shape
The API returns an array. Each element includes the original example that the model expanded from and agenerated
string with the newly created row:
generated
string into JSON before storing it. The service may
stream partial chunks before the final array is delivered; buffer the body
before parsing if your HTTP client emits incremental events.Authorizations
Bearer authentication header of the form Bearer <token>
, where <token>
is your auth token.
Body
application/json