Route and observe production agent traffic with Plano
Use Plano when an agent application needs an out-of-process data plane for multi-agent routing, model agility, guardrails, traces, and OpenAI-compatible traffic instead of custom glue in every service.
npx skills add agentskillexchange/skills --skill route-and-observe-production-agent-traffic-with-plano
Use Plano when an operator needs to put routing, orchestration, model/provider access, guardrail filter chains, memory hooks, and observability around agent services without rebuilding that middleware in each codebase. The upstream README and docs show YAML-defined agent listeners, OpenAI-compatible chat completion endpoints, model providers, Plano’s LLM gateway, trace capture, filter chains, and the planoai CLI.
What this skill actually does
Invoke this instead of using a model provider or agent framework normally when the application has multiple agents or services and needs a shared production data plane for routing requests, switching models, adding safety filters, and collecting traces. The scope boundary is the proxy/data-plane workflow: install planoai, declare agents and providers in config, start Plano, send OpenAI-compatible requests through it, and review routing/observability outputs. It is not a generic LLM gateway listing because the skill is specifically about supervised agent traffic orchestration and operational signals.
Inputs and prerequisites: Python 3.10+, uv or pip, provider API keys, optional Docker and Docker Compose.
Setup notes: Recommended: uv tool install planoai==0.4.26. Alternative: create a Python virtual environment and run pip install planoai==0.4.26. Then create a Plano config and run planoai up plano_config.yaml.
Source and verification boundary: use https://docs.planoai.dev/get_started/quickstart.html as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.