* feat(proxy/utils.py): track pre-call hooks in OTEL
some pre call hooks can cause latency in high traffic - make sure this is tracked
* fix(router.py): move redis call on deployment_callback_on_success to pipeline operation
reduces p99 latency by half when redis is enabled
* fix(parallel_request_limiter_v3.py): only run check if any item has rate limits set
Prevents unnecessary latency added by rate limit checks
* test: add unit tests
* Latency Improvements: only track tpm/rpm usage when set on deployment+ LLM Caching - use an in-memory cache to reduce redis calls + OTEL - track time spent on LLM caching (#13472)
* fix(router.py): only track usage for deployments with tpm/rpm set
ensures additional latency avoided for non-tpm/rpm models
* fix(caching_handler.py): log time spent on request get cache to OTEL
enables easy debugging of call latency
* fix(caching_handler.py): use dual cache object for in-memory caching + trace redis call within caching handler
* fix(caching_handler.py): working in-memory cache for redis calls
ensures dual cache works when redis cache setup for llm calls
makes calls quicker by only checking redis when in-memory cache missed for llm api call
* test: remove redundant test
* test: add unit tests
* fix unsupported operand type(s) for +=: 'NoneType' and 'str' on clientside auth creds for responses
* fix the client side auth to use correct metadata
* add more tests
* fix tests
* fix(router.py): add acompletion_streaming_iterator inside router
allows router to catch errors mid-stream for fallbacks
Work for https://github.com/BerriAI/litellm/issues/6532
* fix(router.py): working mid-stream fallbacks
* fix(router.py): more iterations
* fix(router.py): working mid-stream fallbacks with fallbacks set on router
* fix(router.py): pass prior content back in new request as assistant prefix message
* fix(router.py): add a system prompt to help guide non-prefix supporting models to use the continued text correctly
* fix(common_utils.py): support converting `prefix: true` for non-prefix supporting models
* fix: reduce LOC in function
* test(test_router.py): add unit tests for new function
* test: add basic unit test
* fix(router.py): ensure return type of fallback stream is compatible with CustomStreamWrapper
prevent client code from breaking
* fix: cleanup
* test: update test
* fix: fix linting error
If the user specified in the configuration e.g. "user_header_name:
X-OpenWebUI-User-Email", here we were looking for a dict key
"X-OpenWebUI-User-Email" when the dict actually contained
"x-openwebui-user-email".
Switch to iteration and case insensitive string comparison instead to
fix this.
This fixes customer budget enforcement when the customer ID is passed
in as a header rather than as a "user" value in the body.
* fix(main.py): fix async retryer
Fixes https://github.com/BerriAI/litellm/issues/12830
* fix(forward_clientside_headers_by_model_group.py): filter out 'content-type' from forwardable headers
clientside content-type != proxy content type, can cause requests to hang
* test(tests/): update tests
* fix(prompt_templates/factory.py): handle anthropic cache control on individual tool results
Fixes issue where cache control on individual tool result was being ignored
* test(test_vertex_And_google_ai_studio_gemini.py): initial unit test covering translation for grounding metadata on streaming chunk
* fix(vertex_and_google_ai_studio.py): ensure grounding metadata is preserved on streaming
Closes https://github.com/BerriAI/litellm/issues/10237
* fix(core_helpers.py): include usage in expected openai keys
