2 commits

Author	SHA1	Message	Date
mubashir1osmani	31c1ffc5a4	test(e2e): close coverage gaps across chat/responses, provider features, batches, prometheus, and langfuse eviction (#32165) ... * fix(e2e): define SpendTagsResponse/TagSpend so spend suite collects spend_tracking/spend_e2e_client.py imported SpendTagsResponse and TagSpend from models, but neither was ever defined, so importing the client raised ImportError and pytest aborted collection for the whole e2e session. The tag-spend tests had never run. Model /spend/tags as it actually answers: a bare array of per-tag aggregates, so SpendTagsResponse is a RootModel[list[TagSpend]] like the existing SpendLogs. spend_by_tags read a nonexistent spend_per_tag field that also wouldn't match the array shape; it now reads .root, matching how spend_logs consumes its RootModel. * test(e2e): close coverage gaps across chat/responses, provider features, batches, prometheus, and langfuse eviction Adds regression nets and gap-surfacing tests: A1 (llm_translation/test_deepseek_reasoning_e2e.py): control case proves the DeepSeek reasoner returns reasoning_content; two xfail(strict) cases document that reasoning_effort='none' and thinking type='disabled' are silently dropped (LIT-3686 / GH #27453) A2 (llm_translation/test_chat_completions_regression_e2e.py and test_responses_e2e.py): parametrized regression net asserting real completion content, not just a 200, across the configured providers for /chat/completions and /responses (GH #28991) A3 (llm_translation/test_provider_features_e2e.py): asserts service_tier is honored and prompt-cache read tokens grow on a repeated cacheable prefix A4 (batches/test_batches_e2e.py): mints a rate-limited key so the batch pre-call rate limiter runs, then asserts no unattributed spend row is left behind by the internal input-file retrieval (LIT-3266) A5 (logging/test_prometheus_cardinality_e2e.py): drives one chat per distinct key_alias and asserts each alias gets its own labeled series on /metrics A6 (test_litellm/.../specialty_caches/test_dynamic_logging_cache.py): xfail(strict) regression proving eviction must not close an httpx client still held by an in-flight caller (LIT-3221 / GH #13034) Extends tests/e2e/models.py with the typed request and response fields these tests read (reasoning_effort, thinking, service_tier, key_alias, cache usage fields, spend-log api_key) Co-authored-by: Cursor <cursoragent@cursor.com> * test(e2e): drop unused litellm-regression-tests submodule The e2e suite migrated the regression cases into this repo; nothing imports the submodule at runtime (only a provenance comment references it), so the .gitmodules entry and gitlink pointing at a personal repo would just make upstream CI init a submodule it never uses. Remove both to keep the change test-only. * test(e2e): drop A6 langfuse-eviction xfail; keep PR to live e2e coverage The dynamic_logging_cache strict-xfail documented an unfixed shared-httpx-client close-on-eviction bug (LIT-3221 / GH #13034). That is a non-trivial fix (thread cleanup vs shared client teardown) and belongs in its own PR, not this e2e coverage PR, so revert the file to its base state. --------- Co-authored-by: Cursor <cursoragent@cursor.com>	2026-07-04 18:56:52 -07:00
Sameer Kankute	a16d9c6f9e	test(e2e): add live batches suite across providers and routing scenarios (#30958) ... * tests: add e2e tests for spend, budgets and llms * style: make chained comparison of status_code clearer Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> * remove e2e_tests folder * test: add spend tracking tests * fix: p0 issues, added types and shared functions for each test suite * style: carry clearer status_code comparison into renamed e2e dir * refactor: migrate to gateway client * fix: add new tests, split gateway * test(e2e): add live batches suite across providers and routing scenarios * test(batches): cover real cost tracking on completed batch retrieve * test(e2e): assert managed vs raw file and batch id shapes per routing scenario * test(e2e): assert full response shape of each batches and files endpoint * test(e2e): only accept transitional statuses for a freshly created batch * test(prompt-factory): make test_convert_url deterministic with a data URL picsum.photos is down (HTTP 522), so test_convert_url failed on every run. Swap the live external image for an inline data: URL and assert the round-trip through convert_url_to_base64 genuinely. A data URL is already inline base64 image data, so convert_url_to_base64 now short-circuits it instead of attempting an impossible HTTP fetch; add a regression for that branch in the mapped image_handling test * fix: pass through async image data urls * fix(image-handling): short-circuit data URLs in async path too Bugbot flagged that convert_url_to_base64 returns data: base64 URLs unchanged but async_convert_url_to_base64 still tried to fetch them, so async OCR flows (Bedrock, Azure) would reject inline images the sync path accepts. Add the same guard to the async function and a regression test that asserts the async path returns the data URL without touching the HTTP client * Fix: openai batches lifecycle * Fix: add e2e azure openai tests * Fix e2e for vertex ai * Add all models for testing * test(managed-files): assert idempotent upsert in store_unified_file_id store_unified_file_id switched from create to upsert to avoid UniqueViolationError when re-storing the same unified_file_id (e.g. batch output files stored before metadata is available). Update the unit test to assert the upsert call and its create payload instead of the removed create call. * test(batches): reconcile vertex_ai native batch-id comment with fallback guard * fix(test-config): keep rust-ocr models in model_list by moving files_settings after it * fix(test-config): move batch models after OCR block to keep merge with internal_staging clean * fix(batches): use '24hrs' completion window and allow managed-files listing with provider filter Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * style: ruff format transformation.py and endpoints.py Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(e2e/batches): set Azure raw_model to gpt-4.1-mini-batch to match deployed model Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(vertex-ai/batches): correct completion_window to 24h per Literal type definition * test(vertex-ai/batches): align completion_window assertion to 24h * fix: update managed file metadata on upsert --------- Co-authored-by: mubashir1osmani <mubashir.osmani777@gmail.com> Co-authored-by: Mateo Wang <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com> Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-07-02 08:05:23 -07:00