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stream-rs

Rustno_stdSSELLM InfrastructureFuzz Testing

stream-rs is a high-performance Rust toolkit for parsing and accumulating LLM token streams. It was born out of a need for a pure, no_std compatible parsing core that doesn't force a specific HTTP client on the user. The library implements a robust state-machine parser for Server-Sent Events (SSE) and includes specialized delta accumulators for OpenAI, Anthropic, and Gemini providers. It is designed to be the 'Parsing Engine' for the next generation of Rust-based AI clients like the included xai-grok package.

State-machine based parser that operates directly on byte-buffers. The workspace is split into a no_std core (stream-rs) and a batteries-included async client (xai-grok) using reqwest and tokio.

  • 01

    Zero-Dependency Core: The base parser uses only the Rust core/alloc libraries for maximum portability.

  • 02

    Chunk-Boundary Invariance: Hardened via cargo-fuzz to ensure correct parsing even when tokens are split across TCP packets.

  • 03

    no_std Support: Can be embedded in resource-constrained environments or alternative runtimes.

  • 04

    xAI Grok Integration: Includes a full async client implementation for xAI's real-time streaming APIs.

  • 05

    Unified Event Model: Normalises diverse provider deltas (text, tool-calls, finish-reasons) into a single type-safe stream.

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