v2

latestOpenAPI 3.1.02026-07-262937191.0 MB

agents

Agents Completion

post/v1/agents/completions

Request body

max_tokensinteger nullable

The maximum number of tokens to generate in the completion. The token count of your prompt plus max_tokens cannot exceed the model's context length.

streamboolean

Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON.

random_seedinteger nullable

The seed to use for random sampling. If set, different calls will generate deterministic results.

metadataobject nullable

presence_penaltynumber nullable

The presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative.

frequency_penaltynumber nullable

The frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition.

ninteger nullable

Number of completions to return for each request, input tokens are only billed once.

parallel_tool_callsboolean

prompt_mode'reasoning'

Available options to the prompt_mode argument on the chat completion endpoint. Values represent high-level intent. Assignment to actual SPs is handled internally. System prompt may include knowledge cutoff date, model capabilities, tone to use, safety guidelines, etc.

prompt_cache_keystring nullable

agent_idstring required

The ID of the agent to use for this completion.

Example request

{
  "messages": [
    {
      "role": "user",
      "content": "Who is the best French painter? Answer in one short sentence."
    }
  ],
  "response_format": {
    "type": "text"
  }
}

Response

Successful Response

idstring required

objectstring required

modelstring required

createdinteger required