HUAP Core - Build deterministic, traceable AI agents with replay and evaluation
Project description
HUAP Core
Trace-first primitives for deterministic, testable AI agents.
HUAP Core provides the foundational toolkit for building AI agent systems that are traceable, deterministic, evaluatable, and CI-gated.
Quick Start
pip install huap-core
huap demo
Features
- Traceable — every action recorded as replayable JSONL events
- Deterministic — stub mode + replay verification for reproducible testing
- Evaluatable — cost/quality grading to gate regressions in CI
- Squad-ready — specialist model router picks the right model for each task
- Framework-agnostic — adapters for CrewAI, LangChain, or wrap any script
- Human-gated — pause, review, and approve agent actions via an inbox
- Pluggable — plugin SDK for memory backends, tool packs, and providers
Documentation
Full docs: github.com/Mircus/HUAP
Project details
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