freellmapi: An OpenAI-compatible gateway for aggregating free LLM providers and custom endpoints.
What problem it solves
Combining free-tier AI providers manually requires handling separate SDKs, rate limits, and failure modes. Provider catalogs and quotas also change frequently, making it difficult to keep a multi-provider setup current and within usage limits.
Key features
Unified API surfaces — Expose chat, responses, completions, media generation, speech, transcriptions, embeddings, and model discovery through a single OpenAI-compatible API.
Source: README
Routing and failover — Rank available models with routing strategies and automatically retry the next model when a provider returns a rate-limit or server error.
Source: README
Quota-aware usage tracking — Track request and token counters for each platform, model, and key to keep routing within provider limits.
Source: README
Encrypted key management — Store provider credentials encrypted at rest and expose a single unified bearer token to applications.
Source: README
Current model catalog — Synchronize a signed catalog containing new models, quota changes, and provider compatibility fixes without requiring a repository update.
Source: README
Quick start
Copied verbatim from the project's README.
curl -fsSL https://freellmapi.co/install.sh | bashnpx freellmapi setup-claude --url http://localhost:3001 --api-key <unified-key>Who it may suit
Inference: This may suit developers experimenting with several free LLM providers who want one local API and centralized routing. It may also suit users of OpenAI-compatible clients and coding agents that need a unified base URL and bearer key.
Topics to discuss
Which provider capabilities should receive priority in the unified model catalog?
How should routing strategies balance model quality, reliability, and quota availability?
What failure patterns should the dashboard and analytics expose to help users diagnose requests?
Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.
Read the original README https://github.com/tashfeenahmed/freellmapi#readme
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