How to Use Gemini CLI with Any LLM Provider Using Bifrost (Step‑by‑Step Guide)

Google’s Gemini CLI has quickly become a popular terminal-based coding agent thanks to its strong reasoning performance and deep integration with the Google ecosystem. However, real-world engineering workflows rarely stay inside a single provider environment. Different development tasks benefit from different models: high‑reasoning models for architecture, low‑latency models for rapid edit loops, and low‑cost models for repetitive generation. By default, Gemini CLI only communicates with Google’s own API, which limits flexibility for teams working across providers. Bifrost removes this limitation by acting as an open‑source AI gateway that sits between Gemini CLI and downstream model providers. Instead of being locked to Google, requests sent by Gemini CLI can be translated into the native format required by OpenAI, Anthropic, Groq, Mistral, Ollama, and many others. Setup is handled through the interactive Bifrost CLI , which eliminates manual environment configuration and lets develop