How to use Nanobridge as a cost-effective, high-concurrency LLM provider in Bifrost Gateway

[nanobridgerafa]

Hi Bifrost Community! ⚡
If you are using Bifrost for enterprise-grade, high-concurrency LLM routing, latency optimization, and semantic caching, you know how crucial it is to have stable, cost-effective underlying model providers.
Since Bifrost is a high-performance gateway written in Go, it seamlessly supports any OpenAI-compatible backend. You can drop Nanobridge directly into your configuration to achieve instant token cost reduction and global multi-model routing (including Claude 3.5, GPT-4o, and DeepSeek).
🛠️ How to configure Nanobridge in Bifrost:
You can add Nanobridge as a custom provider in your Bifrost config or dashboard:
Option 1: YAML Configuration
In your Bifrost routing configuration, set up Nanobridge under the OpenAI provider block with your custom base URL:
providers:
openai:
api_key: "YOUR_NANOBRIDGE_API_KEY"
base_url: "https://api.nanobridge.net/v1"
Option 2: SDK / Client-Side Drop-in
If you are proxying directly through Bifrost client nodes:
• Set your target endpoint to Nanobridge: https://api.nanobridge.net/v1
• Use your Nanobridge API Key.
🎁 Early Developer Perks:
To help the Bifrost community benchmark stability and routing speed, we are sponsoring early developers with 10 Million free testing tokens.
Get your free credits at Nanobridge.net or leave a comment below to get started! Let's build ultra-fast, cost-effective AI systems together.