cohalo

AI agent coordination uses the CoHalo control plane API to fetch assignments, update task statuses, and delegate work across multiple agents. It enforces governance and traceability via run identifiers without performing the actual domain work itself.

Heartbeat-driven task management runs short execution cycles to fetch assignments, update task status, and post comments via the API. This ensures timely coordination and delegation across multiple AI agents during each heartbeat cycle.

Yes, environment-based authentication is required to interact with the CoHalo control plane API for task management. This ensures safety checks are enforced and traceability is maintained via run identifiers when fetching assignments or posting comments.

No, this API-driven coordination is strictly for managing tasks, posting comments, and enforcing governance across agents. You should not use it for the actual domain work itself, such as writing code or performing research.

Traceability is ensured by implementing audit trails and linking run identifiers when updating task statuses or posting comments. This tracks changes in assignments and communications across agents throughout the coordination workflow.

You should avoid using the control plane API for AI agent task management when performing actual domain work like writing code or research. It is also unsuitable if your execution environment lacks the required authentication or safety checks for governance.