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deltatrace-deterministic-re.../AGENTS.md

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DeltaTrace SWARM Agent Guidelines

  • Architecture: MVP for end-to-end deterministic replayable tracing in partitioned live-market pipelines.
  • Tech stack: Python 3.9+, dataclasses, simple crypto-like signing via HMAC, and a tiny sandbox replay engine.
  • Testing: bash test.sh runs tests and builds packaging to verify metadata and structure.
  • Contribution rules: follow module layout under the deltatrace namespace; add tests for new features; update README.
  • Repository layout:
    • deltatrace/ core package (dsl.py, replay.py, governance, privacy, adapters)
    • README.md, AGENTS.md (this doc), READY_TO_PUBLISH as signal for publishing readiness
  • Running locally:
    • python -m pip install -e . (if a packaging file exists) or use your preferred environment
    • Run tests with bash test.sh (exists in root or repo-specific). Ensure packaging builds with python3 -m build.