mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-29 06:33:28 +00:00
11b5d1a817
* feat(gemini): LITELLM_GEMINI_DEFAULT_MAX_OUTPUT_TOKENS sets the long decode budget for requests that send no limit * test(gemini): cover a default long decode budget set by LITELLM_GEMINI_DEFAULT_MAX_OUTPUT_TOKENS * fix(gemini): apply the default output budget only to requests asking for text output * refactor(gemini): apply the default output budget once in the async request transform * fix(gemini): leave the default output budget off non-chat models and a snake_case generation_config * fix(gemini): skip the default output budget for audio-only models and continuation resumes Lyria and other Gemini chat models whose cost map row lists no text output answer 400 when sent a maxOutputTokens, and a request that resumes from a continuation token answers 400 when a limit is added beside it. Both now go out without the default budget. * fix(vertex_ai): skip the Gemini default budget for a model a deployment's model_info overrides, and pass odd generationConfig shapes through * fix(vertex_ai): cap the Gemini default budget per deployment at the loaded cost map and its own model_info limit * test(vertex_ai): wrap a long test signature under the 120 character limit * fix(vertex_ai): keep a direct call's default output budget under the loaded cost map limit A litellm.Router deployment's model_info writes onto the shared cost map row, so a later direct call with no model_info read that raised value and Vertex answered 400. The direct call now caps at the lower of the loaded row and the live row, so litellm.register_model can still lower the cap. * fix(vertex_ai): ignore a deployment output limit that is not positive A model_info.max_output_tokens of 0 or -1 capped the default budget at that value, and Google answers 400 to a limit that is not positive. It now counts as unreadable, so the cost map limit applies. * fix(gemini): never continue a request asking for more than one candidate in camelCase * fix(gemini): keep continuing a request whose candidate count is null or 0 |
||
|---|---|---|
| .. | ||
| _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.