chore: import upstream snapshot with attribution
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# AI install hint: choose deps by OS/env + needed ui/bot. do NOT install all.
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# minimal core first; missing packages can be installed on demand.
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[project]
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name = "genericagent"
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version = "0.1.0"
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description = "Minimalist self-evolving autonomous agent framework"
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readme = "README.md"
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requires-python = ">=3.10,<3.14"
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license = { text = "MIT" }
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dependencies = [
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"requests>=2.28",
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"beautifulsoup4>=4.12",
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"bottle>=0.12",
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"simple-websocket-server>=0.4",
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"aiohttp>=3.9",
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]
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[project.optional-dependencies]
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# select extras, not all. match current task/env.
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# examples: .[ui] for GUI, bot deps only if bot needed.
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ui = [
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"streamlit>=1.28",
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"pywebview>=4.0",
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"textual>=0.70",
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# tui_v3 (scrollback-first TUI) — prompt_toolkit replaces textual; rich is
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# now a direct dependency (was transitive via textual in tui_v2).
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"prompt_toolkit>=3.0,<4",
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"rich>=13.0",
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"pillow>=9.0",
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]
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all-frontends = [
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"python-telegram-bot>=20.0",
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"qq-botpy>=1.0",
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"pycryptodome>=3.19",
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"qrcode>=7.4",
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"lark-oapi>=1.0",
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"wecom-aibot-sdk>=1.0",
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"dingtalk-stream>=0.20",
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]
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[build-system]
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requires = ["setuptools>=68.0"]
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build-backend = "setuptools.build_meta"
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[tool.setuptools]
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py-modules = []
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packages = ["ga_cli"]
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[project.scripts]
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ga = "ga_cli.cli:main"
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