How Bifrost Integrates With Your Existing LLM Stack (No Refactoring Required)

The Problem

You’ve built your LLM application. It works.

Now you want better observability, load balancing, or caching.

Most solutions require:

• Rewriting your API calls


• Learning new SDKs


• Refactoring working code


• Testing everything again

We built Bifrost to be different: drop it in, change one URL, done.

OpenAI-Compatible API

Bifrost speaks OpenAI’s API format.

If your code works with OpenAI, it works with Bifrost.

Before

import openai



openai.api_key = "sk-..."



response = openai.ChatCompletion.create(

    model="gpt-4",

    messages=[{"role": "user", "content": "Hello"}]

)

After

import openai



openai.api_base = "http://localhost:8080/openai"  # Only change

openai.api_key = "sk-..."  # Your actual API key



response = openai.ChatCompletion.create(

    model="gpt-4",

    messages=[{"role": "user", "content": "Hello"}]

)

One line changed. That’s it.

Works With Every Major Framework

Because — we also build evaluation and observability tools for production AI agents.