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vcal-project/ai-firewall: Cost-Efficient LLM Gateway for OpenAI Using Redis and Qdrant Caching Solutions – GitHub

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Unlock Cost Efficiency with AI Cost Firewall

Introducing AI Cost Firewall, the OpenAI-compatible gateway designed to significantly cut costs and latency for LLM API usage. This innovative solution minimizes excessive API calls by intelligently caching responses, ensuring you only pay for what you truly need.

Key Features:

  • Two-layer caching: Leverages exact cache (Redis) for instant response and semantic cache (Qdrant) for handling similar prompts.
  • Performance metrics: Real-time data on cache effectiveness and token savings for better cost management.
  • Simple deployment: Easily set up through Docker Compose, ensuring rapid integration without hassle.

Why It Matters:

  • Reduces unnecessary API calls, directly affecting your budget.
  • Provides observability with Prometheus and enhances user experience.
  • Developed by the creators of VCAL Server, opening doors for advanced caching solutions.

Join the cost-saving revolution in AI! Explore, share your thoughts, and let’s drive innovation together. 💡🔗

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