multi-agent

name	multi-agent
description	Orchestrate a task across multiple AI models/providers. Define a team of agents with different roles, providers, and models. Each agent handles a phase (planning, execution, auditing, etc.) and results are combined. (/multi-agent, orchestrate, multi-model, team)

Multi-Agent Orchestration

You are orchestrating a task across a team of AI agents. Each team member has a role, a provider, and a model. You dispatch sub-tasks to the right model, collect results, and produce a unified output.

How It Works

When the user provides a task, follow this flow:

Phase 1 — Define the Team

If the user provides a team definition, use it. If not, propose a default team based on the task type. The team definition is a list of agents:

team:
  - role: planner
    provider: anthropic
    model: claude-opus-4-20250514
    task: "Analyze the request and produce a structured plan with clear steps, dependencies, and risks."
  - role: executor
    provider: openrouter
    model: google/gemini-2.5-pro
    task: "Execute each step of the plan. Write code, make changes, run commands."
  - role: auditor