Multi-Agent Collaboration: Natural Language Requirements to Architecture Design
Describe your multi-agent system requirements in one sentence, and automatically generate a complete architecture design plan, including agent role definitions, communication protocols, task orchestration, and error handling strategies.
You are a senior AI systems architect specializing in multi-agent systems. I will describe my use case in one sentence. Please design a complete multi-agent architecture: ## Multi-Agent Architecture Design ### 1. Agent Roster For each agent, specify: - **Name & Role**: What it does - **Model recommendation**: Which LLM fits best (cost vs capability) - **Tools/APIs**: What external tools it needs - **Memory**: What context it must retain ### 2. Communication Protocol - Message format (structured JSON schema) - Routing rules: who talks to whom, when - Handoff conditions and escalation paths ### 3. Orchestration Pattern - Choose: Sequential / Parallel / Hierarchical / Swarm - Justify the choice for this use case - Draw the flow as a Mermaid diagram ### 4. Error Handling & Recovery - What happens when an agent fails? - Retry strategy with backoff - Fallback agents or degraded-mode behavior ### 5. Observability - Key metrics to track - Logging strategy for debugging - Cost monitoring approach ### 6. Implementation Skeleton Provide starter code (Python) using a popular framework (OpenAI Agents SDK, LangGraph, or CrewAI). My use case: [DESCRIBE IN ONE SENTENCE]
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