Round-4 claude-review findings (no blockers): - 🟡 Untested server-layer metering hook (raised across rounds): extracted the nc_semantic_search embeddings_queries recording into a module-level record_search_usage() helper (mirroring record_indexing_usage) and added tests/unit/server/test_semantic_metering.py — value = query token count, flag-off no-op, None token → 0, doc_types metadata bounding, best-effort failure swallowed. - 🟡 Dedup-hit skipped metering invisibly: the existing dedup info log now states "no embedding/usage recorded" so a "fewer embeddings_queries rows than expected" audit lands on the dedup path directly. Deferred 🟢 nits (stated on the PR): search 0-token rows are recorded deliberately (the query embedding ran; zero is a sum no-op) — documented in the helper; embed_tokens closure locality and the OpenAI embed() dual path are unchanged (correct as-is / separate refactor). Deck #67. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2 lines
45 B
Python
2 lines
45 B
Python
"""Unit tests for server-layer MCP tools."""
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