Fixed multiple issues preventing the indexer from running: - Docker COPY paths: companion/ → src/companion/ to match project structure - pyproject.toml: [tool.hatchling] → [tool.hatch.build.targets.wheel] - api.py: ChatOrchestrator init params (session_memory instead of http_client) - chunker.py: Fixed character-based chunking (was word-based, causing 400 errors from Ollama embedding API due to exceeding token limits) - config.json: Use exact model tag mxbai-embed-large:335m - docker-compose.yml: Fixed vault mount path
46 lines
932 B
TOML
46 lines
932 B
TOML
[project]
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name = "companion"
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version = "0.1.0"
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description = "Personal companion AI with local RAG"
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requires-python = ">=3.11"
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dependencies = [
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"pydantic>=2.0",
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"lancedb>=0.9.0",
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"pyarrow>=15.0.0",
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"requests>=2.31.0",
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"watchdog>=4.0.0",
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"typer>=0.12.0",
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"rich>=13.0.0",
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"numpy>=1.26.0",
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"fastapi>=0.109.0",
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"uvicorn[standard]>=0.27.0",
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"httpx>=0.27.0",
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"sse-starlette>=2.0.0",
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"python-multipart>=0.0.9",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0.0",
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"pytest-asyncio>=0.23.0",
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"httpx>=0.27.0",
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"respx>=0.21.0",
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]
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train = [
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"unsloth>=2024.1.0",
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"torch>=2.1.0",
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"transformers>=4.36.0",
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"datasets>=2.14.0",
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"peft>=0.7.0",
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"accelerate>=0.25.0",
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"bitsandbytes>=0.41.0",
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"trl>=0.7.0",
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]
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[tool.hatch.build.targets.wheel]
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packages = ["src/companion"]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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