Agent Management
Manage the full lifecycle of AI agents — create, configure, version, deploy, and monitor.
Agent List
The agents dashboard (/dashboard/agents) shows all agents with:
- Name, model, mode (Reactive/Collaborative/Proactive)
- Status badges — color-coded: green (active), yellow (updating), red (failed)
- Quick actions: edit, duplicate, delete
Creating Agents
Three creation paths:
Basic Creator
/dashboard/agents/create — form-based creation with fields for name, model, system prompt, tools, and skills.
Template Gallery
/dashboard/agents/templates — pre-built agent templates (Research, Code Review, Customer Support, etc.) that can be customized.
Agent Dev Environment
/dashboard/agents/create/agent-dev — advanced editor for building agents with full JSON config, testing, and iteration.
Agent Configuration
Each agent config includes:
| Field | Description |
|---|---|
name | Display name |
model_id | LLM model (GPT-4o, Claude Sonnet, etc.) |
system_prompt | Behavior instructions |
tools | MCP tools the agent can use |
skills | Skill categories |
mode | REACTIVE, COLLABORATIVE, or PROACTIVE |
visibility | private, org, or public |
Version History & Diff Viewer
/dashboard/agents/[id]/versions — view all config versions with timestamps and changed fields. Select two versions to see a side-by-side JSON diff with added (green), removed (red), and changed (yellow) highlighting.
Multi-Agent Specs
/dashboard/agents/multi — create multi-agent teams with DAG-based routing. Define entry agents, routing edges, and task dependencies.
Monitoring
Agent detail pages embed a monitoring section:
- Grafana iframe when monitoring URL is configured
- “Not configured” fallback with setup instructions