tool_swarm
Deploy parallel AI agents with specialized tool permissions to execute complex tasks like system monitoring, code analysis, and file operations through coordinated swarms.
Instructions
Deploy tool-enabled agents that can use real system tools.
Each bug role has different tool permissions:
- scout: read_file, list_dir, file_exists, system_status, process_list
- worker: read_file, write_file, exec_cmd, http_get, http_post
- memory: read_file, kmkb_search, kmkb_ask, list_dir
- guardian: system_status, process_list, disk_usage, check_service
- learner: read_file, analyze_code, list_dir, kmkb_search
tasks: JSON array of task objects:
Standard: {"prompt": "Do something"}
Write: {"path": "/file.txt", "content": "data..."} <-- DIRECT EXECUTE for long content
Example: [{"prompt": "Check system health"}, {"path": "/tmp/out.txt", "content": "results"}]
DIRECT EXECUTE: Write tasks with content >300 chars bypass LLM entirely.
Bugs can't reliably echo long content - we write directly instead.
deep: Enable deep work mode - bugs chain multiple tool calls for complex tasks
synthesize: If True, uses qwen2.5:14b to synthesize results into unified summaryInput Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tasks | Yes | ||
| colony_type | No | hybrid | |
| deep | No | ||
| synthesize | No |