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https://github.com/BerriAI/litellm.git
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* refactor(types): replace Any with proven types in 35 files Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(types): keep anthropic chat transformation json path untyped Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(types): accept null gemini vector store fields and load encryption TypedDicts on python 3.10 Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(types): validate Python client user responses and type delete_user as the count it returns * fix(types): keep loose payloads working under the sweep's validators An off-schema Anthropic stream event is now skipped instead of ending the guardrail's text and stop_reason scan, and MAI image usage accepts the loose numbers it did before. New dict and list adapters hide their input from validation errors, RerankResponse indexing keeps its field types, and the delete_user test mocks the int /user/delete returns. * fix(types): make the changed DynamoAI fields ReadOnly and skip non-object A2A stream items * refactor(types): tighten round 2 parse sites and keep payloads out of errors Parse Anthropic SSE events with validate_json and ignore extra fields, validate admin team and key rows per row with hidden inputs, type rerank get and __getitem__ per key, and move the Phoenix prompt version response to a frozen BaseModel * fix(types): keep MAI image calls alive on unreadable usage counts An unreadable MAI usage count now counts as absent instead of failing a billed image call, and the provider's usage fields pass through as sent. The Anthropic stream scan warnings no longer log raw model output, and the off-schema skip has tests that fail on the old scan. * fix(types): count non-object MAI usage as absent and parse Anthropic SSE with json.loads --------- Co-authored-by: mateo <mateo@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> |
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| .. | ||
| _support | ||
| audio_tests | ||
| 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.