Meta: Muse Spark 1.1

Supported parameters

• include_reasoning

  Include reasoning

  Include a reasoning summary in the response.

• max_tokens

  Max tokens

  Upper bound on generated tokens. Output stops at the limit.

• reasoning

  Reasoning

  Enable or configure reasoning. The fields differ by model.

• reasoning_effort

  Reasoning effort

  How much compute to spend reasoning. Often low, medium, or high.

• repetition_penalty

  Repetition penalty

  Penalizes text that already appeared. Common on open models.

• response_format

  Response format

  For example json_object or json_schema, to constrain the shape.

• structured_outputs

  Structured outputs

  Generate a parseable structure that follows a JSON Schema.

• temperature

  Temperature

  Sampling temperature. Lower is steadier, higher is more varied. Often 0 to 2.

• tool_choice

  Tool choice

  Whether to call a tool: auto, none, or a named function.

• tools

  Tools

  Function definitions the model may call via tool_calls.

• top_k

  Top-K

  Sample only from the K most likely tokens.

• top_p

  Top-p

  Sample only from tokens whose cumulative probability reaches top_p.