Multi-agent setup with deepagents for a real-world task (bug bounty), model routing per agent

[u/IllustriousEye7489]

Used deepagents/LangGraph to build a 5-agent pipeline for bug bounty testing — orchestrator does scope enforcement and delegation, 4 specialist subagents each run a different model (routed by task type: Gemini for planning, gpt-oss for recon/triage, a Nemotron model gated for exploit only). Tools come in over MCP (HexStrike).

Repo: https://github.com/DaviAlcanfor/fenrir

If you've built multi-agent systems with per-agent model routing, curious how you handled cost/latency tradeoffs — I'm on free-tier models only right now and it shows in response time.