Buzz does not host or bill for models. It routes each agent through an installed harnessAn AI agent harness is the software framework that packages a model with tools, instructions, context management, execution controls, and user interaction. such as Claude Code or Goose, while the harness connects to the underlying provider. Defaults provide a fallback, and per-agent settings let one shared workspace mix models and harnesses.
The tutorial connects Kimi K3 to Claude Code through Moonshot's Anthropic-compatible endpoint, then assigns it to the main coding agent. A second model reviews the codeCode review examines proposed source changes to assess their correctness, clarity and suitability before or around integration. so that two model families can catch different mistakes.
Lower-stakes agents can use free inference through Nvidia's OpenAI-compatible build APIAn application programming interface is a defined way for software systems to request data or actions from one another. or OpenRouter's free models via Goose. Those tiers are useful for background research and writing, but their rate limits, shared capacity and changing terms make them unsuitable for critical production workloads.
The resulting example uses four agents across three providersAgent orchestration coordinates AI agents, tools, people, tasks, state, and control flow so a larger workflow reaches a verified outcome.: a Kimi K3 coder, a separate Claude reviewer, a free Nvidia-backed researcher and a free OpenRouter-backed writer. The practical advantage is matching model cost and capability to each jobModel selection chooses the AI model whose capability, quality, cost, speed, safety, and operating constraints best fit a task. without locking the whole team to one vendor.
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