Ishaan Jaff
a69c670baa
(refactor) use helper function _assemble_complete_response_from_streaming_chunks to assemble complete responses in caching and logging callbacks ( #6220 )
...
* (refactor) use _assemble_complete_response_from_streaming_chunks
* add unit test for test_assemble_complete_response_from_streaming_chunks_1
* fix assemble complete_streaming_response
* config add logging_testing
* add logging_coverage in codecov
* test test_assemble_complete_response_from_streaming_chunks_3
* add unit tests for _assemble_complete_response_from_streaming_chunks
* fix remove unused / junk function
* add test for streaming_chunks when error assembling
2024-10-15 12:45:12 +05:30
Krish Dholakia
2acb0c0675
Litellm Minor Fixes & Improvements (10/12/2024) ( #6179 )
...
* build(model_prices_and_context_window.json): add bedrock llama3.2 pricing
* build(model_prices_and_context_window.json): add bedrock cross region inference pricing
* Revert "(perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165 )"
This reverts commit 2a5624af47#6174 )
* LiteLLM Minor Fixes & Improvements (10/10/2024) (#6158 )
* refactor(vertex_ai_partner_models/anthropic): refactor anthropic to use partner model logic
* fix(vertex_ai/): support passing custom api base to partner models
Fixes https://github.com/BerriAI/litellm/issues/4317
* fix(proxy_server.py): Fix prometheus premium user check logic
* docs(prometheus.md): update quick start docs
* fix(custom_llm.py): support passing dynamic api key + api base
* fix(realtime_api/main.py): Add request/response logging for realtime api endpoints
Closes https://github.com/BerriAI/litellm/issues/6081
* feat(openai/realtime): add openai realtime api logging
Closes https://github.com/BerriAI/litellm/issues/6081
* fix(realtime_streaming.py): fix linting errors
* fix(realtime_streaming.py): fix linting errors
* fix: fix linting errors
* fix pattern match router
* Add literalai in the sidebar observability category (#6163 )
* fix: add literalai in the sidebar
* fix: typo
* update (#6160 )
* Feat: Add Langtrace integration (#5341 )
* Feat: Add Langtrace integration
* add langtrace service name
* fix timestamps for traces
* add tests
* Discard Callback + use existing otel logger
* cleanup
* remove print statments
* remove callback
* add docs
* docs
* add logging docs
* format logging
* remove emoji and add litellm proxy example
* format logging
* format `logging.md`
* add langtrace docs to logging.md
* sync conflict
* docs fix
* (perf) move s3 logging to Batch logging + async [94% faster perf under 100 RPS on 1 litellm instance] (#6165 )
* fix move s3 to use customLogger
* add basic s3 logging test
* add s3 to custom logger compatible
* use batch logger for s3
* s3 set flush interval and batch size
* fix s3 logging
* add notes on s3 logging
* fix s3 logging
* add basic s3 logging test
* fix s3 type errors
* add test for sync logging on s3
* fix: fix to debug log
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Willy Douhard <willy.douhard@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
Co-authored-by: Ali Waleed <ali@scale3labs.com>
* docs(custom_llm_server.md): update doc on passing custom params
* fix(pass_through_endpoints.py): don't require headers
Fixes https://github.com/BerriAI/litellm/issues/6128
* feat(utils.py): add support for caching rerank endpoints
Closes https://github.com/BerriAI/litellm/issues/6144
* feat(litellm_logging.py'): add response headers for failed requests
Closes https://github.com/BerriAI/litellm/issues/6159
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Willy Douhard <willy.douhard@gmail.com>
Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
Co-authored-by: Ali Waleed <ali@scale3labs.com>
2024-10-12 11:48:34 -07:00
Krish Dholakia
6005450c8f
LiteLLM Minor Fixes & Improvements (10/09/2024) ( #6139 )
...
* fix(utils.py): don't return 'none' response headers
Fixes https://github.com/BerriAI/litellm/issues/6123
* fix(vertex_and_google_ai_studio_gemini.py): support parsing out additional properties and strict value for tool calls
Fixes https://github.com/BerriAI/litellm/issues/6136
* fix(cost_calculator.py): set default character value to none
Fixes https://github.com/BerriAI/litellm/issues/6133#issuecomment-2403290196
* fix(google.py): fix cost per token / cost per char conversion
Fixes https://github.com/BerriAI/litellm/issues/6133#issuecomment-2403370287
* build(model_prices_and_context_window.json): update gemini pricing
Fixes https://github.com/BerriAI/litellm/issues/6133
* build(model_prices_and_context_window.json): update gemini pricing
* fix(litellm_logging.py): fix streaming caching logging when 'turn_off_message_logging' enabled
Stores unredacted response in cache
* build(model_prices_and_context_window.json): update gemini-1.5-flash pricing
* fix(cost_calculator.py): fix default prompt_character count logic
Fixes error in gemini cost calculation
* fix(cost_calculator.py): fix cost calc for tts models
2024-10-10 00:42:11 -07:00
Krish Dholakia
9695c1af10
LiteLLM Minor Fixes & Improvements (10/08/2024) ( #6119 )
...
* refactor(cost_calculator.py): move error line to debug - https://github.com/BerriAI/litellm/issues/5683#issuecomment-2398599498
* fix(migrate-hidden-params-to-read-from-standard-logging-payload): Fixes https://github.com/BerriAI/litellm/issues/5546#issuecomment-2399994026
* fix(types/utils.py): mark weight as a litellm param
Fixes https://github.com/BerriAI/litellm/issues/5781
* feat(internal_user_endpoints.py): fix /user/info + show user max budget as default max budget
Fixes https://github.com/BerriAI/litellm/issues/6117
* feat: support returning team member budget in `/user/info`
Sets user max budget in team as max budget on ui
Closes https://github.com/BerriAI/litellm/issues/6117
* bug fix for optional parameter passing to replicate (#6067 )
Signed-off-by: Mandana Vaziri <mvaziri@us.ibm.com>
* fix(o1_transformation.py): handle o1 temperature=0
o1 doesn't support temp=0, allow admin to drop this param
* test: fix test
---------
Signed-off-by: Mandana Vaziri <mvaziri@us.ibm.com>
Co-authored-by: Mandana Vaziri <mvaziri@us.ibm.com>
2024-10-08 21:57:03 -07:00
Krish Dholakia
2e5c46ef6d
LiteLLM Minor Fixes & Improvements (10/04/2024) ( #6064 )
...
* fix(litellm_logging.py): ensure cache hits are scrubbed if 'turn_off_message_logging' is enabled
* fix(sagemaker.py): fix streaming to raise error immediately
Fixes https://github.com/BerriAI/litellm/issues/6054
* (fixes) gcs bucket key based logging (#6044 )
* fixes for gcs bucket logging
* fix StandardCallbackDynamicParams
* fix - gcs logging when payload is not serializable
* add test_add_callback_via_key_litellm_pre_call_utils_gcs_bucket
* working success callbacks
* linting fixes
* fix linting error
* add type hints to functions
* fixes for dynamic success and failure logging
* fix for test_async_chat_openai_stream
* fix handle case when key based logging vars are set as os.environ/ vars
* fix prometheus track cooldown events on custom logger (#6060 )
* (docs) add 1k rps load test doc (#6059 )
* docs 1k rps load test
* docs load testing
* docs load testing litellm
* docs load testing
* clean up load test doc
* docs prom metrics for load testing
* docs using prometheus on load testing
* doc load testing with prometheus
* (fixes) docs + qa - gcs key based logging (#6061 )
* fixes for required values for gcs bucket
* docs gcs bucket logging
* bump: version 1.48.12 → 1.48.13
* ci/cd run again
* bump: version 1.48.13 → 1.48.14
* update load test doc
* (docs) router settings - on litellm config (#6037 )
* add yaml with all router settings
* add docs for router settings
* docs router settings litellm settings
* (feat) OpenAI prompt caching models to model cost map (#6063 )
* add prompt caching for latest models
* add cache_read_input_token_cost for prompt caching models
* fix(litellm_logging.py): check if param is iterable
Fixes https://github.com/BerriAI/litellm/issues/6025#issuecomment-2393929946
* fix(factory.py): support passing an 'assistant_continue_message' to prevent bedrock error
Fixes https://github.com/BerriAI/litellm/issues/6053
* fix(databricks/chat): handle streaming responses
* fix(factory.py): fix linting error
* fix(utils.py): unify anthropic + deepseek prompt caching information to openai format
Fixes https://github.com/BerriAI/litellm/issues/6069
* test: fix test
* fix(types/utils.py): support all openai roles
Fixes https://github.com/BerriAI/litellm/issues/6052
* test: fix test
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
2024-10-04 21:28:53 -04:00
Krish Dholakia
d57be47b0f
Litellm ruff linting enforcement ( #5992 )
...
* ci(config.yml): add a 'check_code_quality' step
Addresses https://github.com/BerriAI/litellm/issues/5991
* ci(config.yml): check why circle ci doesn't pick up this test
* ci(config.yml): fix to run 'check_code_quality' tests
* fix(__init__.py): fix unprotected import
* fix(__init__.py): don't remove unused imports
* build(ruff.toml): update ruff.toml to ignore unused imports
* fix: fix: ruff + pyright - fix linting + type-checking errors
* fix: fix linting errors
* fix(lago.py): fix module init error
* fix: fix linting errors
* ci(config.yml): cd into correct dir for checks
* fix(proxy_server.py): fix linting error
* fix(utils.py): fix bare except
causes ruff linting errors
* fix: ruff - fix remaining linting errors
* fix(clickhouse.py): use standard logging object
* fix(__init__.py): fix unprotected import
* fix: ruff - fix linting errors
* fix: fix linting errors
* ci(config.yml): cleanup code qa step (formatting handled in local_testing)
* fix(_health_endpoints.py): fix ruff linting errors
* ci(config.yml): just use ruff in check_code_quality pipeline for now
* build(custom_guardrail.py): include missing file
* style(embedding_handler.py): fix ruff check
2024-10-01 19:44:20 -04:00
Krrish Dholakia
3560f0ef2c
refactor: move all testing to top-level of repo
...
Closes https://github.com/BerriAI/litellm/issues/486
2024-09-28 21:08:14 -07:00
