Buzz + Kimi K3 (& FREE APIs): This is SO GOOOD!!!
#ad Thank you to JetBrains for sponsoring this video. Check out Junie & Use code CODEKING for $30 OFF (first 300 users): https://junie.jetbrains.com/?utm_source=youtube&utm_medium=influencer&utm_campaign=junie_cli_q2&utm_content=youtube_integration&utm_term=codeking&utm_tag=iack In this video, I'll be showing you how to configure different models and agents in Buzz, including how to use Kimi K3 as your main coding model, set up per-agent model configurations, and connect free API options like NVIDIA Build and OpenRouter through the Goose harness. -- Key Takeaways: 🚀 Buzz lets you configure different models for different agents using harnesses like Claude Code, Codex, and Goose. 🧠 Per-agent model settings allow coding, reviewing, research, and writing agents to run on separate models and providers. 💻 Kimi K3 can be used with Buzz through Claude Code because its API is Anthropic-compatible. 🔧 Setting the correct Anthropic environment variables is important for connecting Claude Code to Kimi K3 properly. 🆓 NVIDIA Build offers free OpenAI-compatible API access to many preview models, including GLM, Nemotron, Kimi, DeepSeek, Qwen, and more. 🌐 OpenRouter also provides free models that can be connected to Buzz through Goose, including Nemotron 3 Ultra and coding-focused models. ⚡ Free API tiers are useful for background agents, research, and writing tasks, but rate limits and reliability should be kept in mind. 👍 Overall, Buzz’s per-agent model configuration makes it practical to build a multi-model AI team while keeping costs low.
