LLMSlim

Contract-safe context tooling for LLM tool schemas.

8 followers

Contract-safe context tooling for LLM tool schemas.

8 followers

Open-source Python library for local-first LLM context compression and contract-safe tool-schema workflows. v0.4.0 adds provider-aware adapters for MCP, OpenAI function, Anthropic, and generic tool shapes; deterministic canonical JSON, SHA-256 fingerprints, exact-equivalence checks, and schema inspection. Raw execution schemas stay authoritative. Tool retrieval remains research-only.

This is the 3rd launch from LLMSlim. View more

LLMSlim

Launched this week

Tool-aware context, contract-safe.

v0.4.0 adds contract-safe tooling for MCP, OpenAI function, Anthropic, and generic tool schemas: provider-aware adapters, deterministic canonical JSON, SHA-256 fingerprints, exact-equivalence checks, and schema inspection. Raw execution schemas remain authoritative. Tool retrieval is research-only and is never used for authorization or execution.

Free

Launch tags:Developer Tools

Launch Team

LenzIndependent, multi-model fact-checking API for AI workflows

Promoted

Maker

📌

Tool definitions are context—and unlike ordinary prompt text, they are execution contracts. LLMSlim v0.4.0 makes tool-schema handling easier to inspect and reason about: preserve raw definitions, create deterministic canonical views, fingerprint complete contracts, and verify exact equivalence before measuring catalog representations. We also published the uneventful result: across 375 schemas in 18 catalogs, lossless measurement saved 0 tokens because the baseline was already compact canonical JSON. That’s useful evidence, not a hidden failure. Experimental retrieval remains research-only and is never an authorization or execution decision. I’d love feedback from builders using MCP or multi-provider tools: where do adapters break fidelity, and how are you tracking contract changes across catalogs? Install: `pip install llmslim` Release notes: https://github.com/Thanatos9404/...

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6d ago

Previous LLMSlim Launches

LLMSlim v0.3.0Cut LLM token costs 40-70% with offline prompt compression

Launched on July 21st, 2026

LLMSlimSemantic prompt compression that never drops instructions.

Launched on July 16th, 2026