serversdown
ac505243a0
Give Lyra a model of *herself* (vs the profile/narrative which model Brian): - persona: a real origin/identity — she's an AI and knows it (Bender/C-3PO style), with the Cortex/NeoMem lineage as her actual past, so "how were you made" stops falling through to generic-assistant deflection. - memory: self_state table (JSON blob) + get/set_self_state. - lyra/self_state.py: evolving first-person inner state (mood, valence, energy, confidence, curiosity, self_narrative, relationship, reflections). render_for_ context injects it; reflect() updates it from recent activity. `lyra-reflect`. - chat.build_messages injects her interiority right after the persona — she speaks from a continuous self, not a reset. The state -> behavior -> reflection -> updated state loop is the substrate for the emergence experiment. Verified: reflection shifted mood curious->reflective and produced genuine first-person self-observations. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
45 lines
897 B
TOML
45 lines
897 B
TOML
[project]
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name = "lyra"
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version = "0.1.0"
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description = "Persistent, autonomous AI assistant"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"fastapi>=0.115",
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"httpx>=0.28.1",
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"numpy>=2.4.5",
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"openai>=2.37.0",
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"python-dotenv>=1.2.2",
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"uvicorn[standard]>=0.34",
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]
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[project.scripts]
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lyra = "lyra.__main__:main"
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lyra-web = "lyra.web.server:serve"
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lyra-import = "lyra.ingest:main"
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lyra-summarize = "lyra.summary:main"
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lyra-profile = "lyra.profile:main"
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lyra-era = "lyra.era:main"
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lyra-narrative = "lyra.narrative:main"
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lyra-reflect = "lyra.self_state:main"
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[dependency-groups]
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dev = [
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"pytest>=8.0",
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"ruff>=0.6",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["lyra"]
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[tool.ruff]
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line-length = 100
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target-version = "py311"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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