Your app
POST to the crew endpoint with the signed-in user.
Build multi-agent crews in a visual canvas. Each agent has its own model, prompt, memory and tools, and every tool call goes through your access policies. Pause for a person whenever the stakes are high.
Agents read and write your entities, call any connector, run Glyphs, search the web, extract text from documents, ask a person a question, or hand off to another crew.
Set a token cap and a turn cap per run, allowed and blocked topics, PII scrubbing, and approval on every write tool. Blocked input stops before the model is called.
A crew can stop for approval, a question or an edit. The run waits as awaiting approval until someone answers from the console or from your own app through one endpoint.
Open any run to see its response and token count, and see tokens and estimated cost per run and per customer workspace. Stream runs live over WebSocket.
POST to the crew endpoint with the signed-in user.
Start a crew when a record is created or updated.
Run a crew every morning or on a cron.
Use run_crew as one step in a pipeline.
Let another system start the run.
Try it in the console before you activate it.
Connect your AI client, build your backend, ship to production.