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ReasonKit v1.0.0 Release Notes

"From Prompt to Protocol"

We are proud to announce the first stable release of ReasonKit Core, marking the shift from experimental AI to engineered cognitive pipelines.

🚀 Key Features

1. Config-Driven Architecture (New!)

ReasonKit is no longer just a Rust binary; it's a configurable engine.

  • YAML Protocols: Define how the AI thinks in protocols/thinktools.yaml.
  • Custom Profiles: create your own reasoning chains in protocols/profiles.yaml.
  • Hot-Reload: Change a protocol description, see it update instantly.

2. The 5 Core ThinkTools

The engine now ships with 5 stabilized cognitive modules:

  • GigaThink (gt): Divergent thinking (10+ perspectives).
  • LaserLogic (ll): Deductive reasoning & fallacy detection.
  • BedRock (br): First principles decomposition.
  • ProofGuard (pg): Triangulated verification.
  • BrutalHonesty (bh): Adversarial critique.

3. Glass Box Integration (LangChain)

Stop building black-box agents.

  • New examples/rk_langchain_agent.py demonstrates how to use ReasonKit as a verifying backend for Python agents.
  • Agents can "offload" hard reasoning to ReasonKit and get structured, auditable JSON back.

4. The "Reasoning Arena" Benchmark

We are proposing a new community standard for AI integrity in BENCHMARKS.md.

  • Moved beyond "vibe checks" to structural integrity metrics.
  • 5 standard "Hard Reasoning" prompts to test depth, breadth, and grounding.

🛠️ Fixes & Improvements

  • Performance: All core reasoning loops validated at <5ms latency (excluding LLM inference).
  • Stability: Resolved JSON parsing issues in the Python integration.
  • PowerCombo: Marked as experimental while we refine the composite logic.

📦 Installation

cargo install reasonkit-core
# or build from source
git clone https://github.com/reasonkit/reasonkit-core
cd reasonkit-core
cargo build --release

🔗 Links