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c4ed75206d
Add a live spend-tracking e2e that sweeps every chat provider the proxy exposes (non-streaming and streaming) plus an embedding on one key, then asserts every logged spend row is non-negative. A negative cost is a real billing regression; cache-token accounting that lets a derived token count fall below zero (BerriAI/litellm#25846) surfaces here as spend < 0, and the streaming leg is exercised because that is the path the regression rode in on. The per-provider positive-row check keeps the guard non-vacuous, so a pipeline that silently logs 0 or drops the row fails instead of sliding past a bare non-negative check. Register the covering cell quota_management.spend_tracking.non_negative. never_negative and note the test in the coverage matrix. |
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| .. | ||
| access_control | ||
| batches | ||
| coverage_registry | ||
| llm_translation | ||
| logging | ||
| management | ||
| quota_management | ||
| bob_the_builder.py | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTRIBUTING.md | ||
| docker-compose.yml | ||
| e2e_config.py | ||
| e2e_gateway.py | ||
| e2e_http.py | ||
| lifecycle.py | ||
| models.py | ||
| pytest.ini | ||
| test_e2e_gateway.py | ||
| test_lifecycle.py | ||
| test_transport.py | ||
| transport.py | ||