Authorizations
The access token received from the authorization server in the OAuth 2.0 flow.
Body
The task that the agent should perform
The ID of the session to run the agent on
The URL that the agent should start on (optional)
The response format to use for the agent answer. You can use a Pydantic model or a JSON Schema dict (cf. https://docs.pydantic.dev/latest/concepts/json_schema/#generating-json-schema.)
[Experimental] The step from which the agent should gather information from in the session. If none, fresh memory
The reasoning model to use
openai/gpt-4o
, gemini/gemini-2.0-flash
, vertex_ai/gemini-2.0-flash
, vertex_ai/gemini-2.5-flash
, openrouter/google/gemma-3-27b-it
, cerebras/llama-3.3-70b
, groq/llama-3.3-70b-versatile
, perplexity/sonar-pro
, deepseek/deepseek-r1
, together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo
, anthropic/claude-3-5-sonnet-20240620
Whether to use vision for the agent. Not all reasoning models support vision.
The maximum number of steps the agent should take
1 <= x <= 50
The vault to use for the agent
The persona to use for the agent
Config used for the notifier
Response
Successful Response
The ID of the agent
The creation time of the agent
The ID of the session
The status of the agent (active or closed)
active
, closed
The closing time of the agent
Whether the agent is saved as a workflow
Credit usage for the agent. None if the agent is still running