Bee for Developers - The quantum-native LLM API — OpenAI-compatible
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Bee's developer surface is live: a drop-in OpenAI-compatible /chat/completions endpoint, official Python (bee-sdk) and TypeScript (@heossi/bee) SDKs, a CLI for scripting, and a hosted MCP server for Claude, Cursor, Continue, and Zed. Point your existing OpenAI code at Bee and it works — no rewrites. Tiered models, tenant-isolated retrieval, post-quantum security paths, and base models never trained on your data. Built by HEOSSI in Singapore.

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A native SDK for at least one mobile framework would make this way more approachable. Most teams experimenting with post-quantum secure LLM calls will want to prototype on-device before wiring up sovereign backends, and right now it sounds like everything routes through the API.
@ferdi788603 That's a very good suggestion. We already build Bee's own iOS and Android app with React Native, and our TypeScript client is fetch-based — but we haven't yet packaged and documented a proper mobile-framework integration for external developers. A tested React Native starter, including the right server-side API-key pattern, would be the natural first step. Thanks for calling this out — noting it as a real gap.