forked from phoenix/litellm-mirror
20 commits
| Author | SHA1 | Message | Date | |
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Krish Dholakia
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7e5085dc7b
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Litellm dev 11 21 2024 (#6837)
* Fix Vertex AI function calling invoke: use JSON format instead of protobuf text format. (#6702) * test: test tool_call conversion when arguments is empty dict Fixes https://github.com/BerriAI/litellm/issues/6833 * fix(openai_like/handler.py): return more descriptive error message Fixes https://github.com/BerriAI/litellm/issues/6812 * test: skip overloaded model * docs(anthropic.md): update anthropic docs to show how to route to any new model * feat(groq/): fake stream when 'response_format' param is passed Groq doesn't support streaming when response_format is set * feat(groq/): add response_format support for groq Closes https://github.com/BerriAI/litellm/issues/6845 * fix(o1_handler.py): remove fake streaming for o1 Closes https://github.com/BerriAI/litellm/issues/6801 * build(model_prices_and_context_window.json): add groq llama3.2b model pricing Closes https://github.com/BerriAI/litellm/issues/6807 * fix(utils.py): fix handling ollama response format param Fixes https://github.com/BerriAI/litellm/issues/6848#issuecomment-2491215485 * docs(sidebars.js): refactor chat endpoint placement * fix: fix linting errors * test: fix test * test: fix test * fix(openai_like/handler): handle max retries * fix(streaming_handler.py): fix streaming check for openai-compatible providers * test: update test * test: correctly handle model is overloaded error * test: update test * test: fix test * test: mark flaky test --------- Co-authored-by: Guowang Li <Guowang@users.noreply.github.com> |
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Krish Dholakia
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b0be5bf3a1
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LiteLLM Minor Fixes & Improvements (11/19/2024) (#6820)
* fix(anthropic/chat/transformation.py): add json schema as values: json_schema fixes passing pydantic obj to anthropic Fixes https://github.com/BerriAI/litellm/issues/6766 * (feat): Add timestamp_granularities parameter to transcription API (#6457) * Add timestamp_granularities parameter to transcription API * add param to the local test * fix(databricks/chat.py): handle max_retries optional param handling for openai-like calls Fixes issue with calling finetuned vertex ai models via databricks route * build(ui/): add team admins via proxy ui * fix: fix linting error * test: fix test * docs(vertex.md): refactor docs * test: handle overloaded anthropic model error * test: remove duplicate test * test: fix test * test: update test to handle model overloaded error --------- Co-authored-by: Show <35062952+BrunooShow@users.noreply.github.com> |
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Krish Dholakia
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ba28e52ee8
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Litellm lm studio embedding params (#6746)
* fix(ollama.py): fix get model info request Fixes https://github.com/BerriAI/litellm/issues/6703 * feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param * docs(anthropic.md): document all supported openai params for anthropic * test: fix tests * fix: fix tests * feat(jina_ai/): add rerank support Closes https://github.com/BerriAI/litellm/issues/6691 * test: handle service unavailable error * fix(handler.py): refactor together ai rerank call * test: update test to handle overloaded error * test: fix test * Litellm router trace (#6742) * feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks * feat(router.py): log trace id across retry/fallback logic allows grouping llm logs for the same request * test: fix tests * fix: fix test * fix(transformation.py): only set non-none stop_sequences * Litellm router disable fallbacks (#6743) * bump: version 1.52.6 → 1.52.7 * feat(router.py): enable dynamically disabling fallbacks Allows for enabling/disabling fallbacks per key * feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key * test: fix test * fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error * fix(lm_studio/embed): support translating lm studio optional params ' * feat(auth_checks.py): fix auth check inside route - `/team/list` Fixes regression where non-admin w/ user_id=None able to query all teams * docs proxy_budget_rescheduler_min_time * helm run DISABLE_SCHEMA_UPDATE * docs helm pre sync hook * fix migration job.yaml * fix DATABASE_URL * use existing spec for migrations job * fix yaml on migrations job * fix migration job * update doc on pre sync hook * fix migrations-job.yaml * fix migration job * fix prisma migration * test - handle eol model claude-2, use claude-2.1 instead * (docs) add instructions on how to contribute to docker image * Update code blocks huggingface.md (#6737) * Update prefix.md (#6734) * fix test_supports_response_schema * mark Helm PreSyn as BETA * (Feat) Add support for storing virtual keys in AWS SecretManager (#6728) * add SecretManager to httpxSpecialProvider * fix importing AWSSecretsManagerV2 * add unit testing for writing keys to AWS secret manager * use KeyManagementEventHooks for key/generated events * us event hooks for key management endpoints * working AWSSecretsManagerV2 * fix write secret to AWS secret manager on /key/generate * fix KeyManagementSettings * use tasks for key management hooks * add async_delete_secret * add test for async_delete_secret * use _delete_virtual_keys_from_secret_manager * fix test secret manager * test_key_generate_with_secret_manager_call * fix check for key_management_settings * sync_read_secret * test_aws_secret_manager * fix sync_read_secret * use helper to check when _should_read_secret_from_secret_manager * test_get_secret_with_access_mode * test - handle eol model claude-2, use claude-2.1 instead * docs AWS secret manager * fix test_read_nonexistent_secret * fix test_supports_response_schema * ci/cd run again * LiteLLM Minor Fixes & Improvement (11/14/2024) (#6730) * fix(ollama.py): fix get model info request Fixes https://github.com/BerriAI/litellm/issues/6703 * feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param * docs(anthropic.md): document all supported openai params for anthropic * test: fix tests * fix: fix tests * feat(jina_ai/): add rerank support Closes https://github.com/BerriAI/litellm/issues/6691 * test: handle service unavailable error * fix(handler.py): refactor together ai rerank call * test: update test to handle overloaded error * test: fix test * Litellm router trace (#6742) * feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks * feat(router.py): log trace id across retry/fallback logic allows grouping llm logs for the same request * test: fix tests * fix: fix test * fix(transformation.py): only set non-none stop_sequences * Litellm router disable fallbacks (#6743) * bump: version 1.52.6 → 1.52.7 * feat(router.py): enable dynamically disabling fallbacks Allows for enabling/disabling fallbacks per key * feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key * test: fix test * fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error * test: handle gemini error * test: fix test * fix: new run * bump: version 1.52.7 → 1.52.8 * docs: add docs on jina ai rerank support * docs(reliability.md): add tutorial on disabling fallbacks per key * docs(logging.md): add 'trace_id' param to standard logging payload * (feat) add bedrock/stability.stable-image-ultra-v1:0 (#6723) * add stability.stable-image-ultra-v1:0 * add pricing for stability.stable-image-ultra-v1:0 * fix test_supports_response_schema * ci/cd run again * [Feature]: Stop swallowing up AzureOpenAi exception responses in litellm's implementation for a BadRequestError (#6745) * fix azure exceptions * test_bad_request_error_contains_httpx_response * test_bad_request_error_contains_httpx_response * use safe access to get exception response * fix get attr * [Feature]: json_schema in response support for Anthropic (#6748) * _convert_tool_response_to_message * fix ModelResponseIterator * fix test_json_response_format * test_json_response_format_stream * fix _convert_tool_response_to_message * use helper _handle_json_mode_chunk * fix _process_response * unit testing for test_convert_tool_response_to_message_no_arguments * update doc for JSON mode * fix: import audio check (#6740) * fix imagegeneration output_cost_per_image on model cost map (#6752) * (feat) Vertex AI - add support for fine tuned embedding models (#6749) * fix use fine tuned vertex embedding models * test_vertex_embedding_url * add _transform_openai_request_to_fine_tuned_embedding_request * add _transform_openai_request_to_fine_tuned_embedding_request * add transform_openai_request_to_vertex_embedding_request * add _transform_vertex_response_to_openai_for_fine_tuned_models * test_vertexai_embedding for ft models * fix test_vertexai_embedding_finetuned * doc fine tuned / custom embedding models * fix test test_partner_models_httpx * bump: version 1.52.8 → 1.52.9 * LiteLLM Minor Fixes & Improvements (11/13/2024) (#6729) * fix(utils.py): add logprobs support for together ai Fixes https://github.com/BerriAI/litellm/issues/6724 * feat(pass_through_endpoints/): add anthropic/ pass-through endpoint adds new `anthropic/` pass-through endpoint + refactors docs * feat(spend_management_endpoints.py): allow /global/spend/report to query team + customer id enables seeing spend for a customer in a team * Add integration with MLflow Tracing (#6147) * Add MLflow logger Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Streaming handling Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * lint Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Move logger construction code Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Add docs Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * async handlers Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * new picture Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * fix(mlflow.py): fix ruff linting errors * ci(config.yml): add mlflow to ci testing * fix: fix test * test: fix test * Litellm key update fix (#6710) * fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test * fix(key_management_endpoints.py): fix /key/update with metadata update * fix(key_management_endpoints.py): fix key_prepare_update helper * fix(key_management_endpoints.py): reset value to none if set in key update * fix: update test ' * Litellm dev 11 11 2024 (#6693) * fix(__init__.py): add 'watsonx_text' as mapped llm api route Fixes https://github.com/BerriAI/litellm/issues/6663 * fix(opentelemetry.py): fix passing parallel tool calls to otel Fixes https://github.com/BerriAI/litellm/issues/6677 * refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling reduces bugs in repo * fix(__init__.py): update provider-model mapping to include all known provider-model mappings Fixes https://github.com/BerriAI/litellm/issues/6669 * feat(anthropic): support passing document in llm api call * docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function * fix(factory.py): fix linting error * add clear doc string for GCS bucket logging * Add docs to export logs to Laminar (#6674) * Add docs to export logs to Laminar * minor fix: newline at end of file * place laminar after http and grpc * (Feat) Add langsmith key based logging (#6682) * add langsmith_api_key to StandardCallbackDynamicParams * create a file for langsmith types * langsmith add key / team based logging * add key based logging for langsmith * fix langsmith key based logging * fix linting langsmith * remove NOQA violation * add unit test coverage for all helpers in test langsmith * test_langsmith_key_based_logging * docs langsmith key based logging * run langsmith tests in logging callback tests * fix logging testing * test_langsmith_key_based_logging * test_add_callback_via_key_litellm_pre_call_utils_langsmith * add debug statement langsmith key based logging * test_langsmith_key_based_logging * (fix) OpenAI's optional messages[].name does not work with Mistral API (#6701) * use helper for _transform_messages mistral * add test_message_with_name to base LLMChat test * fix linting * add xAI on Admin UI (#6680) * (docs) add benchmarks on 1K RPS (#6704) * docs litellm proxy benchmarks * docs GCS bucket * doc fix - reduce clutter on logging doc title * (feat) add cost tracking stable diffusion 3 on Bedrock (#6676) * add cost tracking for sd3 * test_image_generation_bedrock * fix get model info for image cost * add cost_calculator for stability 1 models * add unit testing for bedrock image cost calc * test_cost_calculator_with_no_optional_params * add test_cost_calculator_basic * correctly allow size Optional * fix cost_calculator * sd3 unit tests cost calc * fix raise correct error 404 when /key/info is called on non-existent key (#6653) * fix raise correct error on /key/info * add not_found_error error * fix key not found in DB error * use 1 helper for checking token hash * fix error code on key info * fix test key gen prisma * test_generate_and_call_key_info * test fix test_call_with_valid_model_using_all_models * fix key info tests * bump: version 1.52.4 → 1.52.5 * add defaults used for GCS logging * LiteLLM Minor Fixes & Improvements (11/12/2024) (#6705) * fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test * bump: version 1.52.5 → 1.52.6 * (feat) helm hook to sync db schema (#6715) * v0 migration job * fix job * fix migrations job.yml * handle standalone DB on helm hook * fix argo cd annotations * fix db migration helm hook * fix migration job * doc fix Using Http/2 with Hypercorn * (fix proxy redis) Add redis sentinel support (#6154) * add sentinel_password support * add doc for setting redis sentinel password * fix redis sentinel - use sentinel password * Fix: Update gpt-4o costs to that of gpt-4o-2024-08-06 (#6714) Fixes #6713 * (fix) using Anthropic `response_format={"type": "json_object"}` (#6721) * add support for response_format=json anthropic * add test_json_response_format to baseLLM ChatTest * fix test_litellm_anthropic_prompt_caching_tools * fix test_anthropic_function_call_with_no_schema * test test_create_json_tool_call_for_response_format * (feat) Add cost tracking for Azure Dall-e-3 Image Generation + use base class to ensure basic image generation tests pass (#6716) * add BaseImageGenTest * use 1 class for unit testing * add debugging to BaseImageGenTest * TestAzureOpenAIDalle3 * fix response_cost_calculator * test_basic_image_generation * fix img gen basic test * fix _select_model_name_for_cost_calc * fix test_aimage_generation_bedrock_with_optional_params * fix undo changes cost tracking * fix response_cost_calculator * fix test_cost_azure_gpt_35 * fix remove dup test (#6718) * (build) update db helm hook * (build) helm db pre sync hook * (build) helm db sync hook * test: run test_team_logging firdst --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> * test: update test * test: skip anthropic overloaded error * test: cleanup test * test: update tests * test: fix test * test: handle gemini overloaded model error * test: handle internal server error * test: handle anthropic overloaded error * test: handle claude instability --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Jongseob Jeon <aiden.jongseob@gmail.com> Co-authored-by: Camden Clark <camdenaws@gmail.com> Co-authored-by: Rasswanth <61219215+IamRash-7@users.noreply.github.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> |
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Krish Dholakia
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3beecfb0d4
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LiteLLM Minor Fixes & Improvements (11/13/2024) (#6729)
* fix(utils.py): add logprobs support for together ai Fixes https://github.com/BerriAI/litellm/issues/6724 * feat(pass_through_endpoints/): add anthropic/ pass-through endpoint adds new `anthropic/` pass-through endpoint + refactors docs * feat(spend_management_endpoints.py): allow /global/spend/report to query team + customer id enables seeing spend for a customer in a team * Add integration with MLflow Tracing (#6147) * Add MLflow logger Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Streaming handling Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * lint Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * address comments and fix issues Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Move logger construction code Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * Add docs Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * async handlers Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * new picture Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * fix(mlflow.py): fix ruff linting errors * ci(config.yml): add mlflow to ci testing * fix: fix test * test: fix test * Litellm key update fix (#6710) * fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test * fix(key_management_endpoints.py): fix /key/update with metadata update * fix(key_management_endpoints.py): fix key_prepare_update helper * fix(key_management_endpoints.py): reset value to none if set in key update * fix: update test ' * Litellm dev 11 11 2024 (#6693) * fix(__init__.py): add 'watsonx_text' as mapped llm api route Fixes https://github.com/BerriAI/litellm/issues/6663 * fix(opentelemetry.py): fix passing parallel tool calls to otel Fixes https://github.com/BerriAI/litellm/issues/6677 * refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling reduces bugs in repo * fix(__init__.py): update provider-model mapping to include all known provider-model mappings Fixes https://github.com/BerriAI/litellm/issues/6669 * feat(anthropic): support passing document in llm api call * docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function * fix(factory.py): fix linting error * add clear doc string for GCS bucket logging * Add docs to export logs to Laminar (#6674) * Add docs to export logs to Laminar * minor fix: newline at end of file * place laminar after http and grpc * (Feat) Add langsmith key based logging (#6682) * add langsmith_api_key to StandardCallbackDynamicParams * create a file for langsmith types * langsmith add key / team based logging * add key based logging for langsmith * fix langsmith key based logging * fix linting langsmith * remove NOQA violation * add unit test coverage for all helpers in test langsmith * test_langsmith_key_based_logging * docs langsmith key based logging * run langsmith tests in logging callback tests * fix logging testing * test_langsmith_key_based_logging * test_add_callback_via_key_litellm_pre_call_utils_langsmith * add debug statement langsmith key based logging * test_langsmith_key_based_logging * (fix) OpenAI's optional messages[].name does not work with Mistral API (#6701) * use helper for _transform_messages mistral * add test_message_with_name to base LLMChat test * fix linting * add xAI on Admin UI (#6680) * (docs) add benchmarks on 1K RPS (#6704) * docs litellm proxy benchmarks * docs GCS bucket * doc fix - reduce clutter on logging doc title * (feat) add cost tracking stable diffusion 3 on Bedrock (#6676) * add cost tracking for sd3 * test_image_generation_bedrock * fix get model info for image cost * add cost_calculator for stability 1 models * add unit testing for bedrock image cost calc * test_cost_calculator_with_no_optional_params * add test_cost_calculator_basic * correctly allow size Optional * fix cost_calculator * sd3 unit tests cost calc * fix raise correct error 404 when /key/info is called on non-existent key (#6653) * fix raise correct error on /key/info * add not_found_error error * fix key not found in DB error * use 1 helper for checking token hash * fix error code on key info * fix test key gen prisma * test_generate_and_call_key_info * test fix test_call_with_valid_model_using_all_models * fix key info tests * bump: version 1.52.4 → 1.52.5 * add defaults used for GCS logging * LiteLLM Minor Fixes & Improvements (11/12/2024) (#6705) * fix(caching): convert arg to equivalent kwargs in llm caching handler prevent unexpected errors * fix(caching_handler.py): don't pass args to caching * fix(caching): remove all *args from caching.py * fix(caching): consistent function signatures + abc method * test(caching_unit_tests.py): add unit tests for llm caching ensures coverage for common caching scenarios across different implementations * refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one * fix(router.py): drop redis password requirement * fix(proxy_server.py): fix faulty slack alerting check * fix(langfuse.py): avoid copying functions/thread lock objects in metadata fixes metadata copy error when parent otel span in metadata * test: update test * bump: version 1.52.5 → 1.52.6 * (feat) helm hook to sync db schema (#6715) * v0 migration job * fix job * fix migrations job.yml * handle standalone DB on helm hook * fix argo cd annotations * fix db migration helm hook * fix migration job * doc fix Using Http/2 with Hypercorn * (fix proxy redis) Add redis sentinel support (#6154) * add sentinel_password support * add doc for setting redis sentinel password * fix redis sentinel - use sentinel password * Fix: Update gpt-4o costs to that of gpt-4o-2024-08-06 (#6714) Fixes #6713 * (fix) using Anthropic `response_format={"type": "json_object"}` (#6721) * add support for response_format=json anthropic * add test_json_response_format to baseLLM ChatTest * fix test_litellm_anthropic_prompt_caching_tools * fix test_anthropic_function_call_with_no_schema * test test_create_json_tool_call_for_response_format * (feat) Add cost tracking for Azure Dall-e-3 Image Generation + use base class to ensure basic image generation tests pass (#6716) * add BaseImageGenTest * use 1 class for unit testing * add debugging to BaseImageGenTest * TestAzureOpenAIDalle3 * fix response_cost_calculator * test_basic_image_generation * fix img gen basic test * fix _select_model_name_for_cost_calc * fix test_aimage_generation_bedrock_with_optional_params * fix undo changes cost tracking * fix response_cost_calculator * fix test_cost_azure_gpt_35 * fix remove dup test (#6718) * (build) update db helm hook * (build) helm db pre sync hook * (build) helm db sync hook * test: run test_team_logging firdst --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> * test: update test * test: skip anthropic overloaded error * test: cleanup test * test: update tests * test: fix test * test: handle gemini overloaded model error * test: handle internal server error * test: handle anthropic overloaded error * test: handle claude instability --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com> Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de> |
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Krish Dholakia
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e9aa492af3
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LiteLLM Minor Fixes & Improvement (11/14/2024) (#6730)
* fix(ollama.py): fix get model info request Fixes https://github.com/BerriAI/litellm/issues/6703 * feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param * docs(anthropic.md): document all supported openai params for anthropic * test: fix tests * fix: fix tests * feat(jina_ai/): add rerank support Closes https://github.com/BerriAI/litellm/issues/6691 * test: handle service unavailable error * fix(handler.py): refactor together ai rerank call * test: update test to handle overloaded error * test: fix test * Litellm router trace (#6742) * feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks * feat(router.py): log trace id across retry/fallback logic allows grouping llm logs for the same request * test: fix tests * fix: fix test * fix(transformation.py): only set non-none stop_sequences * Litellm router disable fallbacks (#6743) * bump: version 1.52.6 → 1.52.7 * feat(router.py): enable dynamically disabling fallbacks Allows for enabling/disabling fallbacks per key * feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key * test: fix test * fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error * test: handle gemini error * test: fix test * fix: new run |
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Krish Dholakia
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5c55270740
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LiteLLM Minor Fixes & Improvements (11/04/2024) (#6572)
* 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> |
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Krish Dholakia
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f79365df6e
|
LiteLLM Minor Fixes & Improvements (10/30/2024) (#6519)
* refactor: move gemini translation logic inside the transformation.py file easier to isolate the gemini translation logic * fix(gemini-transformation): support multiple tool calls in message body Merges https://github.com/BerriAI/litellm/pull/6487/files * test(test_vertex.py): add remaining tests from https://github.com/BerriAI/litellm/pull/6487 * fix(gemini-transformation): return tool calls for multiple tool calls * fix: support passing logprobs param for vertex + gemini * feat(vertex_ai): add logprobs support for gemini calls * fix(anthropic/chat/transformation.py): fix disable parallel tool use flag * fix: fix linting error * fix(_logging.py): log stacktrace information in json logs Closes https://github.com/BerriAI/litellm/issues/6497 * fix(utils.py): fix mem leak for async stream + completion Uses a global executor pool instead of creating a new thread on each request Fixes https://github.com/BerriAI/litellm/issues/6404 * fix(factory.py): handle tool call + content in assistant message for bedrock * fix: fix import * fix(factory.py): maintain support for content as a str in assistant response * fix: fix import * test: cleanup test * fix(vertex_and_google_ai_studio/): return none for content if no str value * test: retry flaky tests * (UI) Fix viewing members, keys in a team + added testing (#6514) * fix listing teams on ui * LiteLLM Minor Fixes & Improvements (10/28/2024) (#6475) * fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param Fixes https://github.com/BerriAI/litellm/issues/6456 * feat(anthropic/chat/transformation.py): support anthropic computer tool use Closes https://github.com/BerriAI/litellm/issues/6427 * fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai Fixes issue when trying to call vertex from vercel sdk * fix(main.py): add 'extra_headers' support for azure on all translation endpoints Fixes https://github.com/BerriAI/litellm/issues/6465 * fix: fix linting errors * fix(transformation.py): handle no beta headers for anthropic * test: cleanup test * fix: fix linting error * fix: fix linting errors * fix: fix linting errors * fix(transformation.py): handle dummy tool call * fix(main.py): fix linting error * fix(azure.py): pass required param * LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441) * 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 * Litellm dev 10 26 2024 (#6472) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471) * test test_dual_cache_get_set * unit testing for dual cache * fix async_set_cache_sadd * test_dual_cache_local_only * redis otel tracing + async support for latency routing (#6452) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * fix(dual_cache.py): set default value for parent_otel_span * fix(transformation.py): support 'response_format' for anthropic calls * fix(transformation.py): check for cache_control inside 'function' block * fix: fix linting error * fix: fix linting errors --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> --------- Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> * ui new build * Add retry strat (#6520) Signed-off-by: dbczumar <corey.zumar@databricks.com> * (fix) slack alerting - don't spam the failed cost tracking alert for the same model (#6543) * fix use failing_model as cache key for failed_tracking_alert * fix use standard logging payload for getting response cost * fix kwargs.get("response_cost") * fix getting response cost * (feat) add XAI ChatCompletion Support (#6373) * init commit for XAI * add full logic for xai chat completion * test_completion_xai * docs xAI * add xai/grok-beta * test_xai_chat_config_get_openai_compatible_provider_info * test_xai_chat_config_map_openai_params * add xai streaming test --------- Signed-off-by: dbczumar <corey.zumar@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com> |
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Ishaan Jaff
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cf877c89ec
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(UI) Fix viewing members, keys in a team + added testing (#6514)
* fix listing teams on ui * LiteLLM Minor Fixes & Improvements (10/28/2024) (#6475) * fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param Fixes https://github.com/BerriAI/litellm/issues/6456 * feat(anthropic/chat/transformation.py): support anthropic computer tool use Closes https://github.com/BerriAI/litellm/issues/6427 * fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai Fixes issue when trying to call vertex from vercel sdk * fix(main.py): add 'extra_headers' support for azure on all translation endpoints Fixes https://github.com/BerriAI/litellm/issues/6465 * fix: fix linting errors * fix(transformation.py): handle no beta headers for anthropic * test: cleanup test * fix: fix linting error * fix: fix linting errors * fix: fix linting errors * fix(transformation.py): handle dummy tool call * fix(main.py): fix linting error * fix(azure.py): pass required param * LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441) * 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 * Litellm dev 10 26 2024 (#6472) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471) * test test_dual_cache_get_set * unit testing for dual cache * fix async_set_cache_sadd * test_dual_cache_local_only * redis otel tracing + async support for latency routing (#6452) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * fix(dual_cache.py): set default value for parent_otel_span * fix(transformation.py): support 'response_format' for anthropic calls * fix(transformation.py): check for cache_control inside 'function' block * fix: fix linting error * fix: fix linting errors --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> --------- Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com> |
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Krish Dholakia
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1e403a8447
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Litellm dev 10 29 2024 (#6502)
* fix(core_helpers.py): return None, instead of raising kwargs is None error Closes https://github.com/BerriAI/litellm/issues/6500 * docs(cost_tracking.md): cleanup doc * fix(vertex_and_google_ai_studio.py): handle function call with no params passed in Closes https://github.com/BerriAI/litellm/issues/6495 * test(test_router_timeout.py): add test for router timeout + retry logic * test: update test to use module level values * (fix) Prometheus - Log Postgres DB latency, status on prometheus (#6484) * fix logging DB fails on prometheus * unit testing log to otel wrapper * unit testing for service logger + prometheus * use LATENCY buckets for service logging * fix service logging * docs clarify vertex vs gemini * (router_strategy/) ensure all async functions use async cache methods (#6489) * fix router strat * use async set / get cache in router_strategy * add coverage for router strategy * fix imports * fix batch_get_cache * use async methods for least busy * fix least busy use async methods * fix test_dual_cache_increment * test async_get_available_deployment when routing_strategy="least-busy" * (fix) proxy - fix when `STORE_MODEL_IN_DB` should be set (#6492) * set store_model_in_db at the top * correctly use store_model_in_db global * (fix) `PrometheusServicesLogger` `_get_metric` should return metric in Registry (#6486) * fix logging DB fails on prometheus * unit testing log to otel wrapper * unit testing for service logger + prometheus * use LATENCY buckets for service logging * fix service logging * fix _get_metric in prom services logger * add clear doc string * unit testing for prom service logger * bump: version 1.51.0 → 1.51.1 * Add `azure/gpt-4o-mini-2024-07-18` to model_prices_and_context_window.json (#6477) * Update utils.py (#6468) Fixed missing keys * (perf) Litellm redis router fix - ~100ms improvement (#6483) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * perf(cooldown_cache.py): improve cooldown cache, to store cache results in memory for 5s, prevents redis call from being made on each request reduces 100ms latency per call with caching enabled on router * fix: fix test * fix(cooldown_cache.py): handle if a result is None * fix(cooldown_cache.py): add debug statements * refactor(dual_cache.py): move to using an in-memory check for batch get cache, to prevent redis from being hit for every call * fix(cooldown_cache.py): fix linting erropr * refactor(prometheus.py): move to using standard logging payload for reading the remaining request / tokens Ensures prometheus token tracking works for anthropic as well * fix: fix linting error * fix(redis_cache.py): make sure ttl is always int (handle float values) Fixes issue where redis_client.ex was not working correctly due to float ttl * fix: fix linting error * test: update test * fix: fix linting error --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Xingyao Wang <xingyao@all-hands.dev> Co-authored-by: vibhanshu-ob <115142120+vibhanshu-ob@users.noreply.github.com> |
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Krish Dholakia
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6b9be5092f
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LiteLLM Minor Fixes & Improvements (10/28/2024) (#6475)
* fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param Fixes https://github.com/BerriAI/litellm/issues/6456 * feat(anthropic/chat/transformation.py): support anthropic computer tool use Closes https://github.com/BerriAI/litellm/issues/6427 * fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai Fixes issue when trying to call vertex from vercel sdk * fix(main.py): add 'extra_headers' support for azure on all translation endpoints Fixes https://github.com/BerriAI/litellm/issues/6465 * fix: fix linting errors * fix(transformation.py): handle no beta headers for anthropic * test: cleanup test * fix: fix linting error * fix: fix linting errors * fix: fix linting errors * fix(transformation.py): handle dummy tool call * fix(main.py): fix linting error * fix(azure.py): pass required param * LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441) * 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 * Litellm dev 10 26 2024 (#6472) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected (#6471) * test test_dual_cache_get_set * unit testing for dual cache * fix async_set_cache_sadd * test_dual_cache_local_only * redis otel tracing + async support for latency routing (#6452) * docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * fix(dual_cache.py): set default value for parent_otel_span * fix(transformation.py): support 'response_format' for anthropic calls * fix(transformation.py): check for cache_control inside 'function' block * fix: fix linting error * fix: fix linting errors --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> |
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Krish Dholakia
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f44ab00de2
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LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441)
* 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 |
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Krish Dholakia
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cb2563e3c0
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Litellm dev 10 22 2024 (#6384)
* fix(utils.py): add 'disallowed_special' for token counting on .encode()
Fixes error when '<
endoftext
>' in string
* Revert "(fix) standard logging metadata + add unit testing (#6366)" (#6381)
This reverts commit
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Krish Dholakia
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7cc12bd5c6
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LiteLLM Minor Fixes & Improvements (10/18/2024) (#6320)
* 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> |
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Krish Dholakia
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38a9a106d2
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LiteLLM Minor Fixes & Improvements (10/16/2024) (#6265)
* fix(caching_handler.py): handle positional arguments in add cache logic Fixes https://github.com/BerriAI/litellm/issues/6264 * feat(litellm_pre_call_utils.py): allow forwarding openai org id to backend client https://github.com/BerriAI/litellm/issues/6237 * docs(configs.md): add 'forward_openai_org_id' to docs * fix(proxy_server.py): return model info if user_model is set Fixes https://github.com/BerriAI/litellm/issues/6233 * fix(hosted_vllm/chat/transformation.py): don't set tools unless non-none * fix(openai.py): improve debug log for openai 'str' error Addresses https://github.com/BerriAI/litellm/issues/6272 * fix(proxy_server.py): fix linting error * fix(proxy_server.py): fix linting errors * test: skip WIP test * docs(openai.md): add docs on passing openai org id from client to openai |
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Krish Dholakia
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6005450c8f
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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 |
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Krish Dholakia
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9695c1af10
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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> |
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Krish Dholakia
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6729c9ca7f
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LiteLLM Minor Fixes & Improvements (10/07/2024) (#6101)
* 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 |
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Krish Dholakia
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14165d3648
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LiteLLM Minor Fixes & Improvements (10/02/2024) (#6023)
* 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> |
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Krish Dholakia
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a1d9e96b31
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LiteLLM Minor Fixes & Improvements (09/25/2024) (#5893)
* 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 |
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Ishaan Jaff
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85acdb9193
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[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 |
Renamed from litellm/tests/test_optional_params.py (Browse further)