mirror of
https://github.com/BerriAI/litellm.git
synced 2026-09-13 23:11:40 +00:00
e238e89537
Add a live spend-tracking e2e that drives a streaming anthropic-format /v1/messages request through litellm's anthropic-messages -> OpenAI Responses adapter and asserts the consumed stream writes exactly one SpendLogs row with nonzero cost and token counts, attributed to the calling key under custom_llm_provider openai and the /v1/messages call_type. The deployment is a Responses-only OpenAI model (gpt-5.3-codex), so a served, costed row proves the Responses path was taken; the chat-completions bridge would have failed at OpenAI on an endpoint the model does not expose. Adds a streaming /v1/messages method to the shared Gateway and the suite client, the model to the inline compose config and driver-model registration, a coverage registry row (quota_management.spend_tracking.messages_bridge.logs_cost), and the matching variant vocab entry. The _summarize spend-row detail also gains call_type and custom_llm_provider so a failed assertion prints the fields it asserts on. Resolves LIT-4546 |
||
|---|---|---|
| .. | ||
| access_control | ||
| batches | ||
| claude_code | ||
| coverage_registry | ||
| llm_translation | ||
| load | ||
| logging | ||
| management | ||
| mcp | ||
| quota_management | ||
| router | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTRIBUTING.md | ||
| e2e_config.py | ||
| e2e_http.py | ||
| junit_properties.py | ||
| lifecycle.py | ||
| models.py | ||
| proxy_client.py | ||
| pytest.ini | ||
| transport.py | ||