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chore(deps): bump the minor-and-patch group across 1 directory with 7 updates #123

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chore(deps): bump the minor-and-patch group across 1 directory with 7 updates #123

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16 changes: 8 additions & 8 deletions nlp-service/requirements.txt
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Original file line number Diff line number Diff line change
@@ -1,21 +1,21 @@
# Kompl v2 nlp-service — commit 4. Pins per docs/research/2026-04-08-conversion-deps.md
# and docs/research/2026-04-09-llm-compile.md.
fastapi==0.136.1
uvicorn[standard]==0.47.0
fastapi==0.136.3
uvicorn[standard]==0.49.0
pydantic==2.13.4
httpx==0.28.1
markitdown[all]==0.1.5
markitdown[all]==0.1.6
# Promoted to a direct dep so routers/conversion.py can call
# youtube-transcript-api WITHOUT going through MarkItDown for YouTube URLs.
# Reason: MarkItDown's YouTubeConverter silently falls back to scraping the
# watch-page HTML when no transcript exists (returns ~800 chars of footer
# chrome — verified live on session 4a00f339). We need the transcript-vs-no-
# transcript signal explicitly, which only the direct API exposes.
# markitdown[all]==0.1.5 constrains ~=1.0.0; Dockerfile upgrades to 1.2.x
# markitdown[all]==0.1.6 constrains ~=1.0.0; Dockerfile upgrades to 1.2.x
# after pip install (1.0.x breaks on current YouTube timedtext responses).
youtube-transcript-api~=1.0.0
# Commit 4: LLM compile. Use google-genai NOT google-generativeai (deprecated 2025-Q1).
google-genai==2.4.0
google-genai==2.8.0
# Commit 4: async token-bucket rate limiter. Single uvicorn worker only —
# InMemoryBucket is process-local; see research artifact section 3.
pyrate-limiter==3.7.0
Expand All @@ -24,15 +24,15 @@ spacy==3.8.14
rake-nltk==1.0.6
yake==0.7.3
keybert==0.9.0
sentence-transformers==5.5.0
sentence-transformers==5.5.1
# Dockerfile pins torch==2.5.1 (meta-tensor compat). transformers 5.x imports
# torch.float8_e8m0fnu at load time, which 2.5.1 lacks — breaks
# /resolve/embedding on fresh pip installs. Cap at 4.x; pytest stubs ST so
# only test_embedding_import_smoke.py catches drift.
transformers>=4.41.0,<5.0.0
# pytextrank: spaCy-native TextRank component (PyPI-available, no git dep).
pytextrank==3.3.0
scikit-learn==1.8.0
scikit-learn==1.9.0
# nltk: required by rake-nltk (stopwords + punkt tokenizer data).
nltk==3.9.4
# Part 2b: fast Levenshtein/Jaro-Winkler matching for entity resolution.
Expand All @@ -42,7 +42,7 @@ rapidfuzz>=3.14.5
json-repair>=0.59.10
# Commit 7: Chroma vector store (embedded, no separate server). 0.4.x API:
# PersistentClient, get_or_create_collection, cosine distance.
chromadb==0.4.24
chromadb==0.6.3
# chromadb 0.4.24 references np.float_ (chromadb/api/types.py:102), which
# NumPy 2.0 removed. Pin numpy<2 until chromadb is upgraded.
numpy<2
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