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Keep large tool output out of LLM context

3x accuracy 95% fewer tokens. Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents. LLM agents often place raw JSON tool outputs directly in the prompt.

CLI오픈소스

32 스타 · GitHub외부 사이트

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  1. A new benchmark for testing LLMs for deterministic outputs

    interfaze.ai

    A multi-source LLM benchmark across text, image, and audio that measures JSON value accuracy per field, not just schema compliance. 7 metrics, full leaderboard.

    Hacker News60점

  2. Open-source real time data framework for LLM applications

    getindexify.ai

    Sandboxes for AI agents. Securely run untrusted, LLM-generated code in isolated Firecracker microVM sandboxes that scale from one to thousands — with snapshot, suspend/resume, and durable orchestration.

    Hacker News92점

  3. Open-Source MCP Server for Context and AI Tools

    news.ycombinator.com

    Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge.

    Hacker News43점

  4. Klarity

    github.com

    Open-source tool to analyze uncertainty/entropy in LLM output

    Hacker News132점

  5. LLMs can generate valid JSON 100% of the time

    github.com

    Structured Outputs

    Hacker News854점