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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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| .. | ||
| containers | ||
| google_genai | ||
| images | ||
| integrations | ||
| interactions | ||
| litellm_core_utils | ||
| llms | ||
| management_endpoints | ||
| mcp_server | ||
| passthrough_endpoints | ||
| prompts | ||
| proxy | ||
| repositories | ||
| responses | ||
| secret_managers | ||
| videos | ||
| access_group.py | ||
| adapter.py | ||
| agents.py | ||
| caching.py | ||
| completion.py | ||
| compression.py | ||
| decisions.py | ||
| embedding.py | ||
| extraction.py | ||
| files.py | ||
| fine_tuning.py | ||
| guardrail_base_init.py | ||
| guardrails.py | ||
| lar1.py | ||
| litellm_params.py | ||
| mcp.py | ||
| memory_management.py | ||
| model_insights.py | ||
| object_permission.py | ||
| policy_engine.py | ||
| rag.py | ||
| realtime.py | ||
| rerank.py | ||
| roi_calculator.py | ||
| roi_observed.py | ||
| router.py | ||
| router_weights.py | ||
| scheduler.py | ||
| search.py | ||
| services.py | ||
| tag_management.py | ||
| token_count.py | ||
| tool_management.py | ||
| utils.py | ||
| vector_store_files.py | ||
| vector_stores.py | ||
| workload_identity.py | ||