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* fix(router): keep a deployment's own model_id over the request body's A request body model_id overrode the deployment's pinned model_id, so a client could move SageMaker chat and embedding calls to another inference component. The router now drops the request's model_id when the deployment sets one. * fix(router): let deployments opt back in to a client model_id and stop client component headers on SageMaker chat Drop the request's model_id after the router defaults are applied, so a default_litellm_params model_id cannot win over the deployment either, and apply the same precedence on the sync text_completion path. A deployment that lists model_id in configurable_clientside_auth_params keeps the client's value. SageMaker chat drops any case variant of a client's X-Amzn-SageMaker-Inference-Component header when the deployment sets a component * fix(router): keep a SageMaker deployment's component when it pins it through extra_headers * fix(router): read the SageMaker component header as a pin only on SageMaker deployments * fix(sagemaker): send the inference component only as a header, never as a body model_id SageMaker picks the component from X-Amzn-SageMaker-Inference-Component, so the chat container body and legacy parameters no longer carry model_id. Nova endpoints accept a fixed body field list, so a pinned Nova deployment could reject the extra field. * fix(health): probe header-pinned SageMaker deployments at their component Health checks bypass the router, so a legacy sagemaker/ deployment pinned only through its inference component header sent no component on /health while routed requests now send it. Also update the two SageMaker integration tests that still asserted the old precedence and the dropped body field. * fix(health): apply the router's model_id pin rule to health probes Health probes now share the router's pin function, so a deployment that lets clients set model_id gets no header pin and its own model_id wins without reading the header. Header keys that are not strings are skipped when reading the inference component header instead of failing the call. * fix(sagemaker): keep header keys that aren't strings and report a string opt-in in health checks The chat transformation now keeps extra_headers keys that aren't strings, so such a deployment fails the way it did before instead of answering 500, and the model_id pin checks configurable_clientside_auth_params with isinstance, so a string there reaches the health probe's own error capture again. --------- 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.