Three-Step Rapid Deployment Guide
With Node.js' npx tool, developers can complete the base deployment in less than 30 seconds with the following process:
environmental preparation
- Node.js 18+ Runtime Environment
- At least one valid Big Model API key (e.g. OpenAI)
Specific steps
- service activation: Execute the
npx @maximhq/bifrost
This command automatically completes the dependency download and starts an HTTP service listening on port 8080 - Supplier Configuration::
- interviewsLMI
- Add suppliers" button to interface with various modeling services
- Advanced parameters such as priority/weight can be set
- interface testing: Using the curl authentication service
curl -X POST http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{ "model": "openai/gpt-4o-mini", "messages": [ {"role": "user", "content": "测试消息"} ] }'
The whole process does not need to write configuration files, and the visual interface can complete all the basic settings. For scenarios that require persistent operation, it is recommended to use Docker or Kubernetes for containerized deployment.
This answer comes from the articleBifrost: A High Performance Gateway for Connecting Multiple Large Language ModelsThe
May not be reproduced without permission:AI productivity tools " How do I quickly start a Bifrost gateway service?
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