Bifrost LLM Proxy Tutorial: Route and Monitor Requests Across Multiple Providers

Ready Tensor · Intermediate ·🧠 Large Language Models ·2mo ago
In this video, we walk through how to use Bifrost as an LLM proxy that sits between your application and multiple model providers. You’ll see how to route requests to OpenAI, Anthropic, and a custom fine-tuned model, while centrally tracking usage, latency, and cost. You’ll learn how to: Run Bifrost locally using Docker Configure security settings and virtual keys Add and restrict provider API keys by model Connect OpenAI and Anthropic through a single proxy Register a custom OpenAI-compatible endpoint (vLLM on Modal) Route requests dynamically across providers Track token usage, laten…
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Chapters (7)

What Bifrost is and how it compares to LiteLLM
1:00 Running Bifrost locally with Docker
1:35 Security settings and virtual keys
3:00 Configuring Anthropic and OpenAI providers
4:30 Adding a custom OpenAI-compatible model endpoint
6:20 Querying different models through the proxy
8:25 Monitoring usage, cost, and latency in the dashboard
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