Agent Manage Tool
agent_manageManage AI agents in FleetQ by creating, updating, deleting, and monitoring their status, roles, and configurations for automated workflows.
Instructions
Manage AI agents. Actions: list (filter by status, limit), get (agent_id), create (name, role, goal, provider, model), update (agent_id + fields), delete (agent_id, confirm=true), toggle_status (agent_id), templates (list agent templates).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | Action to perform: list, get, create, update, delete, toggle_status, templates | |
| status | No | Filter by status: active, disabled | |
| limit | No | Max results to return (default 10, max 100) | |
| agent_id | Yes | The agent UUID | |
| name | Yes | Agent name | |
| role | No | Agent role description | |
| goal | No | Agent goal | |
| backstory | No | Agent backstory | |
| provider | No | LLM provider: anthropic, openai, google (default: anthropic) | anthropic |
| model | No | LLM model name (default: claude-sonnet-4-5) | |
| personality | No | Agent personality traits: {tone, communication_style, traits[], behavioral_rules[], response_format_preference} | |
| data_classification | No | Data classification level: public, internal, confidential, restricted. Confidential and restricted agents are routed to local-only providers. | |
| sandbox_profile | No | JSON string defining Docker sandbox profile for per-execution process isolation (enterprise only). Example: {"image":"python:3.12-alpine","memory":"512m","cpus":"1.0","network":"none","timeout":300} | |
| budget_cap_credits | No | Per-agent budget cap in credits. Set to 0 to remove cap. | |
| confirm | Yes | Must be true to confirm deletion. This is a destructive action. | |
| category | No | Filter by category: engineering, content, business, design, research |