* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
* fix: use fastuuid helper across the codebase
First batch of changes, simple drop in replacement.
* second batch of changes
* fixed: script mistake on helper file
* feat(langfuse.py): log the used prompt when prompt management used
* test: fix test
* docs(self_serve.md): add doc on restricting personal key creation on ui
* feat(s3.py): support s3 logging with team alias prefixes (if available)
New preview feature
* fix(main.py): remove old if block - simplify to just await if coroutine returned
fixes lm_studio async embedding error
* fix(langfuse.py): handle get prompt check
* test(azure_openai_o1.py): initial commit with testing for azure openai o1 preview model
* fix(base_llm_unit_tests.py): handle azure o1 preview response format tests
skip as o1 on azure doesn't support tool calling yet
* fix: initial commit of azure o1 handler using openai caller
simplifies calling + allows fake streaming logic alr. implemented for openai to just work
* feat(azure/o1_handler.py): fake o1 streaming for azure o1 models
azure does not currently support streaming for o1
* feat(o1_transformation.py): support overriding 'should_fake_stream' on azure/o1 via 'supports_native_streaming' param on model info
enables user to toggle on when azure allows o1 streaming without needing to bump versions
* style(router.py): remove 'give feedback/get help' messaging when router is used
Prevents noisy messaging
Closes https://github.com/BerriAI/litellm/issues/5942
* test: fix azure o1 test
* test: fix tests
* fix: fix test
* feat: initial commit for watsonx chat endpoint support
Closes https://github.com/BerriAI/litellm/issues/6562
* feat(watsonx/chat/handler.py): support tool calling for watsonx
Closes https://github.com/BerriAI/litellm/issues/6562
* fix(streaming_utils.py): return empty chunk instead of failing if streaming value is invalid dict
ensures streaming works for ibm watsonx
* fix(openai_like/chat/handler.py): ensure asynchttphandler is passed correctly for openai like calls
* fix: ensure exception mapping works well for watsonx calls
* fix(openai_like/chat/handler.py): handle async streaming correctly
* feat(main.py): Make it clear when a user is passing an invalid message
add validation for user content message
Closes https://github.com/BerriAI/litellm/issues/6565
* fix: cleanup
* fix(utils.py): loosen validation check, to just make sure content types are valid
make litellm robust to future content updates
* fix: fix linting erro
* fix: fix linting errors
* fix(utils.py): make validation check more flexible
* test: handle langfuse list index out of range error
* Litellm dev 11 02 2024 (#6561)
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* bump: version 1.51.4 → 1.51.5
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* Litellm dev 11 02 2024 (#6561)
* fix(dual_cache.py): update in-memory check for redis batch get cache
Fixes latency delay for async_batch_redis_cache
* fix(service_logger.py): fix race condition causing otel service logging to be overwritten if service_callbacks set
* feat(user_api_key_auth.py): add parent otel component for auth
allows us to isolate how much latency is added by auth checks
* perf(parallel_request_limiter.py): move async_set_cache_pipeline (from max parallel request limiter) out of execution path (background task)
reduces latency by 200ms
* feat(user_api_key_auth.py): have user api key auth object return user tpm/rpm limits - reduces redis calls in downstream task (parallel_request_limiter)
Reduces latency by 400-800ms
* fix(parallel_request_limiter.py): use batch get cache to reduce user/key/team usage object calls
reduces latency by 50-100ms
* fix: fix linting error
* fix(_service_logger.py): fix import
* fix(user_api_key_auth.py): fix service logging
* fix(dual_cache.py): don't pass 'self'
* fix: fix python3.8 error
* fix: fix init]
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* fix ImageObject conversion (#6584)
* (fix) litellm.text_completion raises a non-blocking error on simple usage (#6546)
* unit test test_huggingface_text_completion_logprobs
* fix return TextCompletionHandler convert_chat_to_text_completion
* fix hf rest api
* fix test_huggingface_text_completion_logprobs
* fix linting errors
* fix importLiteLLMResponseObjectHandler
* fix test for LiteLLMResponseObjectHandler
* fix test text completion
* fix allow using 15 seconds for premium license check
* testing fix bedrock deprecated cohere.command-text-v14
* (feat) add `Predicted Outputs` for OpenAI (#6594)
* bump openai to openai==1.54.0
* add 'prediction' param
* testing fix bedrock deprecated cohere.command-text-v14
* test test_openai_prediction_param.py
* test_openai_prediction_param_with_caching
* doc Predicted Outputs
* doc Predicted Output
* (fix) Vertex Improve Performance when using `image_url` (#6593)
* fix transformation vertex
* test test_process_gemini_image
* test_image_completion_request
* testing fix - bedrock has deprecated cohere.command-text-v14
* fix vertex pdf
* bump: version 1.51.5 → 1.52.0
* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check (#6577)
* fix(lowest_tpm_rpm_routing.py): fix parallel rate limit check
* fix(lowest_tpm_rpm_v2.py): return headers in correct format
* test: update test
* build(deps): bump cookie and express in /docs/my-website (#6566)
Bumps [cookie](https://github.com/jshttp/cookie) and [express](https://github.com/expressjs/express). These dependencies needed to be updated together.
Updates `cookie` from 0.6.0 to 0.7.1
- [Release notes](https://github.com/jshttp/cookie/releases)
- [Commits](https://github.com/jshttp/cookie/compare/v0.6.0...v0.7.1)
Updates `express` from 4.20.0 to 4.21.1
- [Release notes](https://github.com/expressjs/express/releases)
- [Changelog](https://github.com/expressjs/express/blob/4.21.1/History.md)
- [Commits](https://github.com/expressjs/express/compare/4.20.0...4.21.1)
---
updated-dependencies:
- dependency-name: cookie
dependency-type: indirect
- dependency-name: express
dependency-type: indirect
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* docs(virtual_keys.md): update Dockerfile reference (#6554)
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
* (proxy fix) - call connect on prisma client when running setup (#6534)
* critical fix - call connect on prisma client when running setup
* fix test_proxy_server_prisma_setup
* fix test_proxy_server_prisma_setup
* Add 3.5 haiku (#6588)
* feat: add claude-3-5-haiku-20241022 entries
* feat: add claude-3-5-haiku-20241022 and vertex_ai/claude-3-5-haiku@20241022 models
* add missing entries, remove vision
* remove image token costs
* Litellm perf improvements 3 (#6573)
* perf: move writing key to cache, to background task
* perf(litellm_pre_call_utils.py): add otel tracing for pre-call utils
adds 200ms on calls with pgdb connected
* fix(litellm_pre_call_utils.py'): rename call_type to actual call used
* perf(proxy_server.py): remove db logic from _get_config_from_file
was causing db calls to occur on every llm request, if team_id was set on key
* fix(auth_checks.py): add check for reducing db calls if user/team id does not exist in db
reduces latency/call by ~100ms
* fix(proxy_server.py): minor fix on existing_settings not incl alerting
* fix(exception_mapping_utils.py): map databricks exception string
* fix(auth_checks.py): fix auth check logic
* test: correctly mark flaky test
* fix(utils.py): handle auth token error for tokenizers.from_pretrained
* build: fix map
* build: fix map
* build: fix json for model map
* test: remove eol model
* fix(proxy_server.py): fix db config loading logic
* fix(proxy_server.py): fix order of config / db updates, to ensure fields not overwritten
* test: skip test if required env var is missing
* test: fix test
---------
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
* test: mark flaky test
* test: handle anthropic api instability
* test: update test
* test: bump num retries on langfuse tests - their api is quite bad
---------
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: paul-gauthier <69695708+paul-gauthier@users.noreply.github.com>
* fix(azure.py): handle /openai/deployment in azure api base
* fix(factory.py): fix faulty anthropic tool result translation check
Fixes https://github.com/BerriAI/litellm/issues/6422
* fix(gpt_transformation.py): add support for parallel_tool_calls to azure
Fixes https://github.com/BerriAI/litellm/issues/6440
* fix(factory.py): support anthropic prompt caching for tool results
* fix(vertex_ai/common_utils): don't pop non-null required field
Fixes https://github.com/BerriAI/litellm/issues/6426
* feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini
Closes https://github.com/BerriAI/litellm/issues/6434
* build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models
Closes https://github.com/BerriAI/litellm/issues/6437
* fix(types/utils.py): fix linting
* test: update test to include required fields
* test: fix test
* test: handle flaky test
* test: remove e2e test - hitting gemini rate limits
