busya
628805503b
Split requirements.txt into role-specific files: - requirements-backend.txt — FastAPI API runtime - requirements-agent.txt — Gradio/LangGraph agent (no embeddings) - requirements-embeddings.txt — opt-in sentence-transformers Default enterprise bundle (./build.sh bundle) builds slim agent without sentence-transformers/torch (~500 MB saved). Embeddings opt-in via ./build.sh bundle:embeddings <tag>. Embedding router degrades gracefully when package is absent (ImportError catch in _embedding_router.py). Updated Dockerfiles: - backend.Dockerfile → requirements-backend.txt - Dockerfile.agent → requirements-agent.txt + WITH_EMBEDDINGS build arg - all-in-one.Dockerfile → requirements-backend.txt Added embeddings variant to build.sh with full manifest/digest output. Hardened .dockerignore (cache, report, model, archive patterns). Other branch work: align git route mocks with async services, remove legacy agent test files superseded by contract tests.
5 lines
261 B
Plaintext
5 lines
261 B
Plaintext
# Embedding model for semantic tool routing (large ML deps: torch, transformers, etc.)
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# This file is OPTIONAL — install only if semantic routing is needed.
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# See _embedding_router.py: graceful fallback when this package is absent.
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sentence-transformers>=3.0
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