Krish Dholakia
197655bf2a
LiteLLM Minor Fixes & Improvements (10/24/2024) ( #6421 )
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* fix(utils.py): support passing dynamic api base to validate_environment
Returns True if just api base is required and api base is passed
* fix(litellm_pre_call_utils.py): feature flag sending client headers to llm api
Fixes https://github.com/BerriAI/litellm/issues/6410
* fix(anthropic/chat/transformation.py): return correct error message
* fix(http_handler.py): add error response text in places where we expect it
* fix(factory.py): handle base case of no non-system messages to bedrock
Fixes https://github.com/BerriAI/litellm/issues/6411
* feat(cohere/embed): Support cohere image embeddings
Closes https://github.com/BerriAI/litellm/issues/6413
* fix(__init__.py): fix linting error
* docs(supported_embedding.md): add image embedding example to docs
* feat(cohere/embed): use cohere embedding returned usage for cost calc
* build(model_prices_and_context_window.json): add embed-english-v3.0 details (image cost + 'supports_image_input' flag)
* fix(cohere_transformation.py): fix linting error
* test(test_proxy_server.py): cleanup test
* test: cleanup test
* fix: fix linting errors
2024-10-25 15:55:56 -07:00
Krish Dholakia
1363d1d896
LiteLLM Minor Fixes & Improvements (10/18/2024) ( #6320 )
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* fix(converse_transformation.py): handle cross region model name when getting openai param support
Fixes https://github.com/BerriAI/litellm/issues/6291
* LiteLLM Minor Fixes & Improvements (10/17/2024) (#6293 )
* fix(ui_sso.py): fix faulty admin only check
Fixes https://github.com/BerriAI/litellm/issues/6286
* refactor(sso_helper_utils.py): refactor /sso/callback to use helper utils, covered by unit testing
Prevent future regressions
* feat(prompt_factory): support 'ensure_alternating_roles' param
Closes https://github.com/BerriAI/litellm/issues/6257
* fix(proxy/utils.py): add dailytagspend to expected views
* feat(auth_utils.py): support setting regex for clientside auth credentials
Fixes https://github.com/BerriAI/litellm/issues/6203
* build(cookbook): add tutorial for mlflow + langchain + litellm proxy tracing
* feat(argilla.py): add argilla logging integration
Closes https://github.com/BerriAI/litellm/issues/6201
* fix: fix linting errors
* fix: fix ruff error
* test: fix test
* fix: update vertex ai assumption - parts not always guaranteed (#6296 )
* docs(configs.md): add argila env var to docs
* docs(user_keys.md): add regex doc for clientside auth params
* docs(argilla.md): add doc on argilla logging
* docs(argilla.md): add sampling rate to argilla calls
* bump: version 1.49.6 → 1.49.7
* add gpt-4o-audio models to model cost map (#6306 )
* (code quality) add ruff check PLR0915 for `too-many-statements` (#6309 )
* ruff add PLR0915
* add noqa for PLR0915
* fix noqa
* add # noqa: PLR0915
* # noqa: PLR0915
* # noqa: PLR0915
* # noqa: PLR0915
* add # noqa: PLR0915
* # noqa: PLR0915
* # noqa: PLR0915
* # noqa: PLR0915
* # noqa: PLR0915
* doc fix Turn on / off caching per Key. (#6297 )
* (feat) Support `audio`, `modalities` params (#6304 )
* add audio, modalities param
* add test for gpt audio models
* add get_supported_openai_params for GPT audio models
* add supported params for audio
* test_audio_output_from_model
* bump openai to openai==1.52.0
* bump openai on pyproject
* fix audio test
* fix test mock_chat_response
* handle audio for Message
* fix handling audio for OAI compatible API endpoints
* fix linting
* fix mock dbrx test
* (feat) Support audio param in responses streaming (#6312 )
* add audio, modalities param
* add test for gpt audio models
* add get_supported_openai_params for GPT audio models
* add supported params for audio
* test_audio_output_from_model
* bump openai to openai==1.52.0
* bump openai on pyproject
* fix audio test
* fix test mock_chat_response
* handle audio for Message
* fix handling audio for OAI compatible API endpoints
* fix linting
* fix mock dbrx test
* add audio to Delta
* handle model_response.choices.delta.audio
* fix linting
* build(model_prices_and_context_window.json): add gpt-4o-audio audio token cost tracking
* refactor(model_prices_and_context_window.json): refactor 'supports_audio' to be 'supports_audio_input' and 'supports_audio_output'
Allows for flag to be used for openai + gemini models (both support audio input)
* feat(cost_calculation.py): support cost calc for audio model
Closes https://github.com/BerriAI/litellm/issues/6302
* feat(utils.py): expose new `supports_audio_input` and `supports_audio_output` functions
Closes https://github.com/BerriAI/litellm/issues/6303
* feat(handle_jwt.py): support single dict list
* fix(cost_calculator.py): fix linting errors
* fix: fix linting error
* fix(cost_calculator): move to using standard openai usage cached tokens value
* test: fix test
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
2024-10-19 22:23:27 -07:00
Krish Dholakia
f7e896bdc5
Add pyright to ci/cd + Fix remaining type-checking errors ( #6082 )
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* fix: fix type-checking errors
* fix: fix additional type-checking errors
* fix: additional type-checking error fixes
* fix: fix additional type-checking errors
* fix: additional type-check fixes
* fix: fix all type-checking errors + add pyright to ci/cd
* fix: fix incorrect import
* ci(config.yml): use mypy on ci/cd
* fix: fix type-checking errors in utils.py
* fix: fix all type-checking errors on main.py
* fix: fix mypy linting errors
* fix(anthropic/cost_calculator.py): fix linting errors
* fix: fix mypy linting errors
* fix: fix linting errors
2024-10-05 17:04:00 -04:00
Krish Dholakia
4a2bcf4848
LiteLLM Minor Fixes & Improvements (10/04/2024) ( #6064 )
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* 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
1add1d80bb
LiteLLM Minor Fixes & Improvements (10/02/2024) ( #6023 )
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* feat(together_ai/completion): handle together ai completion calls
* fix: handle list of int / list of list of int for text completion calls
* fix(utils.py): check if base model in bedrock converse model list
Fixes https://github.com/BerriAI/litellm/issues/6003
* test(test_optional_params.py): add unit tests for bedrock optional param mapping
Fixes https://github.com/BerriAI/litellm/issues/6003
* feat(utils.py): enable passing dummy tool call for anthropic/bedrock calls if tool_use blocks exist
Fixes https://github.com/BerriAI/litellm/issues/5388
* fixed an issue with tool use of claude models with anthropic and bedrock (#6013 )
* fix(utils.py): handle empty schema for anthropic/bedrock
Fixes https://github.com/BerriAI/litellm/issues/6012
* fix: fix linting errors
* fix: fix linting errors
* fix: fix linting errors
* fix(proxy_cli.py): fix import route for app + health checks path (#6026 )
* (testing): Enable testing us.anthropic.claude-3-haiku-20240307-v1:0. (#6018 )
* fix(proxy_cli.py): fix import route for app + health checks gettsburg.wav
Fixes https://github.com/BerriAI/litellm/issues/5999
---------
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
---------
Co-authored-by: Ved Patwardhan <54766411+vedpatwardhan@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
2024-10-02 22:00:28 -04:00
Krish Dholakia
94a05ca5d0
Litellm ruff linting enforcement ( #5992 )
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* 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
eabf2477f2
fix(return-openai-compatible-headers): v0 is openai, azure, anthropic
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Fixes https://github.com/BerriAI/litellm/issues/5957
2024-09-28 21:08:15 -07:00
Krish Dholakia
02565cd58d
LiteLLM Minor Fixes & Improvements (09/27/2024) ( #5938 )
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* fix(langfuse.py): prevent double logging requester metadata
Fixes https://github.com/BerriAI/litellm/issues/5935
* build(model_prices_and_context_window.json): add mistral pixtral cost tracking
Closes https://github.com/BerriAI/litellm/issues/5837
* handle streaming for azure ai studio error
* [Perf Proxy] parallel request limiter - use one cache update call (#5932 )
* fix parallel request limiter - use one cache update call
* ci/cd run again
* run ci/cd again
* use docker username password
* fix config.yml
* fix config
* fix config
* fix config.yml
* ci/cd run again
* use correct typing for batch set cache
* fix async_set_cache_pipeline
* fix only check user id tpm / rpm limits when limits set
* fix test_openai_azure_embedding_with_oidc_and_cf
* fix(groq/chat/transformation.py): Fixes https://github.com/BerriAI/litellm/issues/5839
* feat(anthropic/chat.py): return 'retry-after' headers from anthropic
Fixes https://github.com/BerriAI/litellm/issues/4387
* feat: raise validation error if message has tool calls without passing `tools` param for anthropic/bedrock
Closes https://github.com/BerriAI/litellm/issues/5747
* [Feature]#5940, add max_workers parameter for the batch_completion (#5947 )
* handle streaming for azure ai studio error
* bump: version 1.48.2 → 1.48.3
* docs(data_security.md): add legal/compliance faq's
Make it easier for companies to use litellm
* docs: resolve imports
* [Feature]#5940, add max_workers parameter for the batch_completion method
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: josearangos <josearangos@Joses-MacBook-Pro.local>
* fix(converse_transformation.py): fix default message value
* fix(utils.py): fix get_model_info to handle finetuned models
Fixes issue for standard logging payloads, where model_map_value was null for finetuned openai models
* fix(litellm_pre_call_utils.py): add debug statement for data sent after updating with team/key callbacks
* fix: fix linting errors
* fix(anthropic/chat/handler.py): fix cache creation input tokens
* fix(exception_mapping_utils.py): fix missing imports
* fix(anthropic/chat/handler.py): fix usage block translation
* test: fix test
* test: fix tests
* style(types/utils.py): trigger new build
* test: fix test
---------
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Jose Alberto Arango Sanchez <jose.arangos@udea.edu.co>
Co-authored-by: josearangos <josearangos@Joses-MacBook-Pro.local>
2024-09-27 22:52:57 -07:00
