* fix(tests): replace shut-down gpt-4o-audio-preview with gpt-audio-1.5
OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so the live audio
calls in test_stream_chunk_builder_openai_audio_output_usage and
test_standard_logging_payload_audio now hard-fail with a model-not-found
error on every PR. The error was not "openai-internal", so the except
block swallowed it and execution fell through to an unbound
completion/response (UnboundLocalError).
Switch both tests to gpt-audio-1.5, OpenAI's recommended successor
(GA, not deprecated, already present in the litellm cost map so the
response_cost assertion still resolves). Also broaden the except to
skip with the real error in the reason instead of crashing, so a
transient upstream blip can't reintroduce the UnboundLocalError.
* fix(tests): narrow audio-test skip to model-not-found, re-raise the rest
Address review feedback: an unconditional skip on any exception would
silently mask a litellm-internal regression in the audio path (broken
param transformation, serialization, bad header) instead of failing CI.
Skip only on the upstream-unavailable class (model_not_found / "does not
exist" / openai-internal) and re-raise everything else, so genuine
regressions still fail loudly. The UnboundLocalError is still fixed
because the handler either skips or raises - it never falls through.
* fix(tests): add budget_exceeded to expected Interaction status enum
Staging added budget_exceeded to the Interaction OpenAPI status enum; the staging merge into this branch picked up the spec change but not the matching test update, so test_status_enum_values failed in CI. Align the test's expected list (exact-match by design) with the live spec.
* fix(tests): mock HTTP fetch in test_img_url_token_counter
The test parameterized a live third-party image URL (blog.purpureus.net) which now 404s, causing get_image_dimensions to fall through to its base64 decode path and crash with 'not enough values to unpack' on every PR run. Mock safe_get with a tiny 1x1 PNG so the URL branch is still exercised without any network dependency.
* fix(tests): swap gpt-4o-audio-preview to gpt-audio-1.5 in test_gpt4o_audio
OpenAI shut down gpt-4o-audio-preview on 2026-05-07, so both live tests in test_gpt4o_audio.py (test_audio_output_from_model and test_audio_input_to_model) hard-fail model_not_found on every PR. Swap the hardcoded model to OpenAI's successor gpt-audio-1.5 (same chat-completions audio surface; already in the litellm cost map). Mirror the narrowed-skip pattern from the prior audio fixes: skip on model_not_found / does-not-exist / openai-internal, re-raise everything else so genuine litellm regressions still fail CI loudly.
These seven test files were on _RESPX_CONFLICTING_FILES, which made the
auto-marker skip them entirely. Inspecting the source shows the only
respx artifact is a top-level 'from respx import MockRouter' that no
test ever uses - no @pytest.mark.respx, no respx_mock fixture, no
respx.mock context manager. The import is dead code left over from a
previous mocking pattern.
Now that apply_vcr_auto_marker_to_items detects respx per-item via the
marker / fixture chain (b637d9f64a), the file-level skip is no longer
needed for these files - they were the reason the OpenAI tests
(test_o3_reasoning_effort, test_streaming_response[o1/o3-mini],
TestOpenAIO1::test_streaming, TestOpenAIChatCompletion::test_web_search,
TestOpenAIO3::test_web_search, etc.) ran live every CI build despite
the cassette cache being healthy.
Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
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* fix(internal_user_endpoints.py): cleanup unused variables on beta endpoint
no team/org split on daily user endpoint
* build(model_prices_and_context_window.json): gemini-2.0-flash supports audio input
* feat(gemini/transformation.py): support passing audio input to gemini
* test: fix test
* fix(gemini/transformation.py): support audio input as a url
enables passing google cloud bucket urls
* fix(gemini/transformation.py): support explicitly passing format of file
* fix(gemini/transformation.py): expand support for inferred file types from url
* fix(sagemaker/completion/transformation.py): fix special token error when counting sagemaker tokens
* test: fix import
* fix(acompletion): support fallbacks on acompletion
allows health checks for wildcard routes to use fallback models
* test: update cohere generate api testing
* add max tokens to health check (#7000)
* fix: fix health check test
* test: update testing
---------
Co-authored-by: Cameron <561860+wallies@users.noreply.github.com>