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https://github.com/BerriAI/litellm.git
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f768fb32ef
* fix: Send the include_usage chunk with an empty choices array Signed-off-by: Alberto Perdomo <aperdomo@redhat.com> * test: Skip chunks with no choices when reading streams Signed-off-by: Alberto Perdomo <aperdomo@redhat.com> * fix: Strip usage from plain-iterator async stream chunks Signed-off-by: Alberto Perdomo <aperdomo@redhat.com> * test: Expect empty choices on the usage chunk in the gemma tracing test Signed-off-by: Alberto Perdomo <aperdomo@redhat.com> * fix(streaming): send the empty-choices usage chunk only to callers that asked for include_usage The usage chunk now has choices=[] only when the caller set stream_options.include_usage itself. When the OpenAI handler, the proxy's always_include_stream_usage setting, or the harness added include_usage on the caller's behalf, the chunk keeps its legacy single empty-delta choice, so clients that read choices[0] on every chunk keep working. The proxy and harness mark their injection with the private _litellm_stream_usage_injected flag, and the proxy scrubs a client-sent copy. Plain-iterator streams keep usage on their chunk when usage was not requested, and the LLM Shield trailing flush ignores chunks with no choices. * fix(proxy): mark the default stream usage injection so hooks keep the legacy usage chunk shape The proxy's default strip-mode injection adds include_usage for clients that did not ask and drops the usage chunk before it reaches them, but streaming iterator hooks still saw it with choices=[]. Marking that injection with _litellm_stream_usage_injected keeps the old single empty choice for them. * fix(router): treat deployment and router-default stream_options as injected, and drop the client flag on the queue route * refactor(router): move the stream usage injection check into router_utils * fix(router): read stream_options from pydantic deployment params when marking injected usage Update the mantle, openinference, and text-completion integration tests to expect the include_usage chunk with empty choices. * fix(proxy): keep the stream usage injection marker out of stored request bodies * test(streaming): cover who asked for stream usage on chat, queue, deployment and spend log paths * test: type the queue flag test, pin the logging start time, and build the deployment usage config without mutation --------- Signed-off-by: Alberto Perdomo <aperdomo@redhat.com> Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> |
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| .. | ||
| llm_provider_handlers | ||
| __init__.py | ||
| test_carry_guardrail_logging_info.py | ||
| test_deepgram_ws_passthrough_routes.py | ||
| test_injected_stream_usage.py | ||
| test_llm_pass_through_endpoints.py | ||
| test_llm_passthrough_endpoints.py | ||
| test_managed_id_rewriter.py | ||
| test_method_specific_routing.py | ||
| test_pass_through_endpoints.py | ||
| test_passthrough_auth_default.py | ||
| test_passthrough_endpoint_router.py | ||
| test_passthrough_endpoints_common_utils.py | ||
| test_passthrough_guardrail_block_otel_span.py | ||
| test_passthrough_guardrails.py | ||
| test_passthrough_guardrails_field_targeting.py | ||
| test_passthrough_post_call_guardrails.py | ||
| test_streaming_handler.py | ||
| test_streaming_handler_interrupt.py | ||
| test_success_handler.py | ||
| test_upstream_usage_headers.py | ||
| test_vertex_ai_batch_passthrough.py | ||
| test_vertex_ai_live_passthrough.py | ||
| test_vertex_passthrough_load_balancing.py | ||
| test_watsonx_proxy_route.py | ||