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* fix(baseten): list current Model APIs instead of retired 2023 deployment IDs `baseten/*` wildcard expansion and `/v1/models` read a hardcoded set of three 2023 deployment IDs (Falcon 7B / WizardLM / MosaicML) that no longer exist, while the model cost map already carries current Baseten entries. - Populate `baseten_models` from the model cost map, like fireworks_ai. - Add `BasetenConfig.get_models()` against the Model API `/v1/models` endpoint and register it in `ProviderConfigManager.get_provider_model_info`, so `check_provider_endpoint: true` returns the live catalog. - Remove the retired deployment IDs from `constants.py`. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * fix(baseten): mark retired Model APIs deprecated and skip them in listings 15 Baseten entries in the model cost map are no longer servable: the Model API returns 410 "model version ... has been deprecated" (DeepSeek-V3.1 returns 400 deactivated), and none appear in `inference.baseten.co/v1/models`. - Set `deprecation_date` on those entries (kept for spend tracking). - Skip entries past their `deprecation_date` when building `baseten_models`, so `baseten/*` expansion only lists models that still serve. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * test(baseten): assert the custom api_base model listing on the returned models The custom api_base test only inspected the patched client's call args, which trips the TQ002 mock-echo gate. Serve the custom URL with respx and assert on the models that come back instead, so a wrong host or a broken parse both fail. * fix(baseten): drop newly retired models on cost map reload and fake discovery at the HTTP boundary A cost map refresh only ever added to the Baseten set, so a model that gained a past deprecation_date after boot stayed listed under baseten/* until restart. Discard it on reload. Tests now serve the catalog with respx instead of patching our own HTTP client, the isinstance registration test is gone since the get_valid_models test already proves discovery end to end, and new test locals carry Final. --------- Co-authored-by: AlexKer <AlexKer@users.noreply.github.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Co-authored-by: ryan-crabbe-berri <ryan@berri.ai> |
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| .. | ||
| _support | ||
| base_sdk_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| e2e | ||
| e2e_harness | ||
| fixtures | ||
| harness_e2e | ||
| integration | ||
| rust-python-harness | ||
| test_litellm_rust | ||
| typing | ||
| unit | ||
| windows_tests | ||
| __init__.py | ||
| _fake_openai_endpoint_server.py | ||
| _flush_vcr_cache.py | ||
| _live_test_helpers.py | ||
| _master_key.py | ||
| _openai_record_replay_proxy.py | ||
| _process_helpers.py | ||
| _vcr_conftest_common.py | ||
| _vcr_redis_persister.py | ||
| _wait_helpers.py | ||
| _ws_vcr.py | ||
| AGENTS.md | ||
| capturing_transport.py | ||
| eval_swe_bench.py | ||
| fake_openai_endpoint.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| pyrightconfig.json | ||
| README.MD | ||
| test_logging.conf | ||
| test_rust_python_harness.py | ||
| VCR_TESTING.md | ||
| white_100x100.png | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/unit
This folder can only run mock tests.