Yuneng Jiang 5445297da9 [Fix] Stabilize flaky spend accuracy tests with local ground truth ... Replace the calibration step (one request + 10-minute poll) with an independent ground truth computed from response usage via litellm.cost_per_token. All N requests are made up front, so a single dropped Redis write no longer kills the test. Add /health/readiness checks at test start and on poll timeout so the failure message surfaces proxy state (db, cache) instead of "calibration timed out". Set PROXY_BATCH_WRITE_AT=2 in the spend tracking CI job to shorten the scheduler flush window.		2026-04-22 13:45:00 -07:00
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test_ocr_spend_tracking.py	style: run black formatter on files from main merge	2026-04-17 13:02:59 -07:00
test_spend_accuracy_tests.py	[Fix] Stabilize flaky spend accuracy tests with local ground truth	2026-04-22 13:45:00 -07:00