Krish Dholakia
11f9df923a
LiteLLM Minor Fixes & Improvements (10/10/2024) ( #6158 )
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* 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>
2024-10-11 23:04:36 -07:00
Krish Dholakia
6005450c8f
LiteLLM Minor Fixes & Improvements (10/09/2024) ( #6139 )
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* 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 )
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* 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
6729c9ca7f
LiteLLM Minor Fixes & Improvements (10/07/2024) ( #6101 )
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* fix(utils.py): support dropping temperature param for azure o1 models
* fix(main.py): handle azure o1 streaming requests
o1 doesn't support streaming, fake it to ensure code works as expected
* feat(utils.py): expose `hosted_vllm/` endpoint, with tool handling for vllm
Fixes https://github.com/BerriAI/litellm/issues/6088
* refactor(internal_user_endpoints.py): cleanup unused params + update docstring
Closes https://github.com/BerriAI/litellm/issues/6100
* fix(main.py): expose custom image generation api support
Fixes https://github.com/BerriAI/litellm/issues/6097
* fix: fix linting errors
* docs(custom_llm_server.md): add docs on custom api for image gen calls
* fix(types/utils.py): handle dict type
* fix(types/utils.py): fix linting errors
2024-10-07 22:17:22 -07:00
Ishaan Jaff
4e88fd65e1
(feat) openai prompt caching (non streaming) - add prompt_tokens_details in usage response ( #6039 )
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* add prompt_tokens_details in usage response
* use _prompt_tokens_details as a param in Usage
* fix linting errors
* fix type error
* fix ci/cd deps
* bump deps for openai
* bump deps openai
* fix llm translation testing
* fix llm translation embedding
2024-10-03 23:31:10 +05:30
Ishaan Jaff
d92696a303
(feat) add nvidia nim embeddings ( #6032 )
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* nvidia nim support embedding config
* add nvidia config in init
* nvidia nim embeddings
* docs nvidia nim embeddings
* docs embeddings on nvidia nim
* fix llm translation test
2024-10-03 17:12:14 +05:30
Krish Dholakia
14165d3648
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
0b30e212da
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
Krish Dholakia
a1d9e96b31
LiteLLM Minor Fixes & Improvements (09/25/2024) ( #5893 )
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* fix(langfuse.py): support new langfuse prompt_chat class init params
* fix(langfuse.py): handle new init values on prompt chat + prompt text templates
fixes error caused during langfuse logging
* docs(openai_compatible.md): clarify `openai/` handles correct routing for `/v1/completions` route
Fixes https://github.com/BerriAI/litellm/issues/5876
* fix(utils.py): handle unmapped gemini model optional param translation
Fixes https://github.com/BerriAI/litellm/issues/5888
* fix(o1_transformation.py): fix o-1 validation, to not raise error if temperature=1
Fixes https://github.com/BerriAI/litellm/issues/5884
* fix(prisma_client.py): refresh iam token
Fixes https://github.com/BerriAI/litellm/issues/5896
* fix: pass drop params where required
* fix(utils.py): pass drop_params correctly
* fix(types/vertex_ai.py): fix generation config
* test(test_max_completion_tokens.py): fix test
* fix(vertex_and_google_ai_studio_gemini.py): fix map openai params
2024-09-26 16:41:44 -07:00
Ishaan Jaff
6b9b469686
testing - nvidia nim api use mock testing
2024-09-23 08:48:13 -07:00
Ishaan Jaff
1973ae8fb8
[Feat] Allow setting supports_vision for Custom OpenAI endpoints + Added testing ( #5821 )
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* add test for using images with custom openai endpoints
* run all otel tests
* update name of test
* add custom openai model to test config
* add test for setting supports_vision=True for model
* fix test guardrails aporia
* docs supports vison
* fix yaml
* fix yaml
* docs supports vision
* fix bedrock guardrail test
* fix cohere rerank test
* update model_group doc string
* add better prints on test
2024-09-21 11:35:55 -07:00
Krish Dholakia
d46660ea0f
LiteLLM Minor Fixes & Improvements (09/18/2024) ( #5772 )
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* fix(proxy_server.py): fix azure key vault logic to not require client id/secret
* feat(cost_calculator.py): support fireworks ai cost tracking
* build(docker-compose.yml): add lines for mounting config.yaml to docker compose
Closes https://github.com/BerriAI/litellm/issues/5739
* fix(input.md): update docs to clarify litellm supports content as a list of dictionaries
Fixes https://github.com/BerriAI/litellm/issues/5755
* fix(input.md): update input.md to include all message values
* fix(image_handling.py): follow image url redirects
Fixes https://github.com/BerriAI/litellm/issues/5763
* fix(router.py): Fix model key/base leak in error message
Fixes https://github.com/BerriAI/litellm/issues/5762
* fix(http_handler.py): fix linting error
* fix(azure.py): fix logging to show azure_ad_token being used
Fixes https://github.com/BerriAI/litellm/issues/5767
* fix(_redis.py): add redis sentinel support
Closes https://github.com/BerriAI/litellm/issues/4381
* feat(_redis.py): add redis sentinel support
Closes https://github.com/BerriAI/litellm/issues/4381
* test(test_completion_cost.py): fix test
* Databricks Integration: Integrate Databricks SDK as optional mechanism for fetching API base and token, if unspecified (#5746 )
* LiteLLM Minor Fixes & Improvements (09/16/2024) (#5723 )
* coverage (#5713 )
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* Move (#5714 )
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix(litellm_logging.py): fix logging client re-init (#5710 )
Fixes https://github.com/BerriAI/litellm/issues/5695
* fix(presidio.py): Fix logging_hook response and add support for additional presidio variables in guardrails config
Fixes https://github.com/BerriAI/litellm/issues/5682
* feat(o1_handler.py): fake streaming for openai o1 models
Fixes https://github.com/BerriAI/litellm/issues/5694
* docs: deprecated traceloop integration in favor of native otel (#5249 )
* fix: fix linting errors
* fix: fix linting errors
* fix(main.py): fix o1 import
---------
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view (#5730 )
* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view
Supports having `MonthlyGlobalSpend` view be a material view, and exposes an endpoint to refresh it
* fix(custom_logger.py): reset calltype
* fix: fix linting errors
* fix: fix linting error
* fix
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix: fix import
* Fix
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* DB test
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* Coverage
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* progress
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix test name
Signed-off-by: dbczumar <corey.zumar@databricks.com>
---------
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
* test: fix test
* test(test_databricks.py): fix test
* fix(databricks/chat.py): handle custom endpoint (e.g. sagemaker)
* Apply code scanning fix for clear-text logging of sensitive information
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* fix(__init__.py): fix known fireworks ai models
---------
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
2024-09-19 13:25:29 -07:00
Ishaan Jaff
7f4dfe434a
[Fix] o1-mini causes pydantic warnings on reasoning_tokens ( #5754 )
...
* add requester_metadata in standard logging payload
* log requester_metadata in metadata
* use StandardLoggingPayload for logging
* docs StandardLoggingPayload
* fix import
* include standard logging object in failure
* add test for requester metadata
* handle completion_tokens_details
* add test for completion_tokens_details
2024-09-17 20:23:14 -07:00
Krish Dholakia
234185ec13
LiteLLM Minor Fixes & Improvements (09/16/2024) ( #5723 ) ( #5731 )
...
* LiteLLM Minor Fixes & Improvements (09/16/2024) (#5723 )
* coverage (#5713 )
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* Move (#5714 )
Signed-off-by: dbczumar <corey.zumar@databricks.com>
* fix(litellm_logging.py): fix logging client re-init (#5710 )
Fixes https://github.com/BerriAI/litellm/issues/5695
* fix(presidio.py): Fix logging_hook response and add support for additional presidio variables in guardrails config
Fixes https://github.com/BerriAI/litellm/issues/5682
* feat(o1_handler.py): fake streaming for openai o1 models
Fixes https://github.com/BerriAI/litellm/issues/5694
* docs: deprecated traceloop integration in favor of native otel (#5249 )
* fix: fix linting errors
* fix: fix linting errors
* fix(main.py): fix o1 import
---------
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view (#5730 )
* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view
Supports having `MonthlyGlobalSpend` view be a material view, and exposes an endpoint to refresh it
* fix(custom_logger.py): reset calltype
* fix: fix linting errors
* fix: fix linting error
* fix: fix import
* test(test_databricks.py): fix databricks tests
---------
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
2024-09-17 08:05:52 -07:00
Ishaan Jaff
4dcb092d12
fix test_all_model_configs
2024-09-16 17:44:48 -07:00
Ishaan Jaff
85acdb9193
[Feat] Add max_completion_tokens param ( #5691 )
...
* add max_completion_tokens
* add max_completion_tokens
* add max_completion_tokens support for OpenAI models
* add max_completion_tokens param
* add max_completion_tokens for bedrock converse models
* add test for converse maxTokens
* fix openai o1 param mapping test
* move test optional params
* add max_completion_tokens for anthropic api
* fix conftest
* add max_completion tokens for vertex ai partner models
* add max_completion_tokens for fireworks ai
* add max_completion_tokens for hf rest api
* add test for param mapping
* add param mapping for vertex, gemini + testing
* predibase is the most unstable and unusable llm api in prod, can't handle our ci/cd
* add max_completion_tokens to openai supported params
* fix fireworks ai param mapping
2024-09-14 14:57:01 -07:00
