mirror of
https://github.com/Heretek-AI/MuseEngine.git
synced 2026-11-07 10:56:06 -10:00
Claude
7e25f39bc5
The original upload never called a model, its autonomous actions only logged that they had happened, and its benchmark was rigged. This replaces it with: - museengine.engine: analyze -> map -> generate -> adversarial critique -> Pareto selection, each step an LLM call with a JSON contract. Offline mode returns labelled keyword suggestions and no fake scores. - museengine.memory: plain-SQLite episodes, notes, state and audit log. - museengine.governance + agent: an autonomous loop behind an allowlist, step budget, kill switch and human approval for self-chosen goals, with every decision and real effect audited. - museengine.evaluation: blinded, order-swapped A/B eval with an exact sign test, replacing the keyword scorer and fudge constants. - Optional Anthropic adapter; the core accepts any (str) -> str callable. - pyproject, CLI, 24 offline tests, CI workflow. The original files are kept unchanged in legacy/ (minus a duplicate). Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]> Claude-Session: https://claude.ai/code/session_01YbuVfbQEpaitM5TMjBMzkF
25 lines
593 B
TOML
25 lines
593 B
TOML
[build-system]
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requires = ["setuptools>=68"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "museengine"
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version = "0.2.0"
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description = "Structured cross-domain ideation for LLM agents, with adversarial critique, durable memory, and a governed autonomous loop."
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = []
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[project.optional-dependencies]
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anthropic = ["anthropic>=1.0"]
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dev = ["pytest>=8"]
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[project.scripts]
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museengine = "museengine.__main__:main"
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[tool.setuptools]
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packages = ["museengine"]
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[tool.setuptools.package-data]
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museengine = ["archetypes.json"]
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