The test uses an invalid API key to verify that batch_completion returns
exceptions rather than raising them. However, depending on network conditions,
the error may be:
- AuthenticationError: API properly rejected the invalid key
- InternalServerError: Connection error occurred before API could respond
Both are valid outcomes for this test case.
- batch_endpoints.py: Pop batch_id from data before creating CancelBatchRequest
to avoid duplicate batch_id when data already contains it from earlier cast
- files_endpoints.py: Pop file_id from data before calling afile_retrieve
to avoid duplicate file_id when data was initialized with {"file_id": file_id}
- test_claude_agent_sdk.py: Disable bedrock-nova-premier test as it requires
an inference profile for on-demand throughput (AWS limitation)
Fixes: e2e_openai_endpoints tests (test_batches_operations, test_file_operations)
Fixes: proxy_e2e_anthropic_messages_tests (nova-premier model skip)
The proxy now adds metadata to the request body during processing.
Updated test to compare fields individually and strip metadata from
body comparison.
Fixes litellm_proxy_unit_testing_part2 CI failure.
- Add test_router_acancel_batch.py with mock test for router.acancel_batch()
- Add _acancel_batch to ignored list (internal helper tested via public API)
Fixes CI failure in check_code_and_doc_quality job
hosted_vllm no longer uses the OpenAI client, so these tests
that mock the OpenAI client are not applicable to hosted_vllm.
Removes hosted_vllm from:
- test_openai_compatible_custom_api_base
- test_openai_compatible_custom_api_video
This fixes the failing litellm_mapped_enterprise_tests (metrics/logging) job.
Recent commits added new labels to several Prometheus metrics (model_id, client_ip, user_agent)
but the test assertions weren't fully updated to expect these new labels.
Tests fixed:
- test_async_post_call_failure_hook
- test_async_log_failure_event
- test_increment_token_metrics
- test_log_failure_fallback_event
- test_set_latency_metrics
- test_set_llm_deployment_success_metrics
Labels added to test assertions:
- model_id for token metrics (litellm_tokens_metric, litellm_input_tokens_metric, litellm_output_tokens_metric)
- model_id for latency metrics (litellm_llm_api_latency_metric)
- model_id for remaining requests/tokens metrics
- model_id for fallback metrics
- model_id for overhead latency metric
- client_ip and user_agent for deployment failure/total/success responses
- client_ip and user_agent for proxy failed/total requests metrics
* Add async_post_call_response_headers_hook to CustomLogger (#20070)
Allow CustomLogger callbacks to inject custom HTTP response headers
into streaming, non-streaming, and failure responses via a new
async_post_call_response_headers_hook method.
* async_post_call_response_headers_hook
---------
Co-authored-by: michelligabriele <gabriele.michelli@icloud.com>
* fix: bedrock invoke - does not support prompt-caching-scope
* fix: UNSUPPORTED_BEDROCK_INVOKE_BETA_PATTERNS
* init requirements.txt
* init README for claude Agent SDK
* fix: using converse models with UNSUPPORTED_BEDROCK_CONVERSE_BETA_PATTERNS
* fix main.py
* init: proxy_e2e_anthropic_messages_tests
