3926ab676f
RAG proxy that intercepts SkyrimNet LLM requests and enriches them with relevant Tamrielic lore from CHIM's Oghma Infinium database. Features: - FastAPI proxy compatible with OpenAI API - ChromaDB semantic search for lore retrieval - NPC profile extraction from SkyrimNet prompts - Google Sheets ingestion for CHIM's Oghma data - Kubernetes deployment manifests - Debug endpoint for RAG operation monitoring Collections ingested to iris-dev ChromaDB: - oghma_lore: 1951 entries (scholar knowledge) - oghma_basic: 1949 entries (commoner knowledge) - oghma_visual: 1151 entries (Omnisight perception) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
55 lines
1.1 KiB
TOML
55 lines
1.1 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "oghma-proxy"
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version = "0.1.0"
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description = "RAG Proxy for SkyrimNet - Injects Tamrielic lore into NPC conversations"
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readme = "README.md"
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requires-python = ">=3.11"
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license = "MIT"
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authors = [
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{ name = "dafit", email = "dafit@eachpath.local" },
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]
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dependencies = [
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"fastapi>=0.109.0",
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"uvicorn[standard]>=0.27.0",
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"httpx>=0.26.0",
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"chromadb>=0.4.22",
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"pydantic>=2.5.0",
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"pydantic-settings>=2.1.0",
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"pyyaml>=6.0.1",
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"structlog>=24.1.0",
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"psycopg[binary]>=3.1.0", # For phoebe logging
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.4.0",
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"pytest-asyncio>=0.23.0",
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"httpx>=0.26.0",
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"ruff>=0.1.0",
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]
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ingest = [
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"pandas>=2.1.0",
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"gspread>=5.12.0",
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"sentence-transformers>=2.2.0",
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]
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[project.scripts]
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oghma-proxy = "oghma_proxy.main:main"
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oghma-ingest = "oghma_proxy.ingest:main"
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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.ruff.lint]
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select = ["E", "F", "I", "N", "W", "UP"]
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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