Add MLflow to the side bar #7031
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Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
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krrishdholakia
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Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
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* fix(main.py): support passing max retries to azure/openai embedding integrations Fixes #7003 * feat(team_endpoints.py): allow updating team model aliases Closes #6956 * feat(router.py): allow specifying model id as fallback - skips any cooldown check Allows a default model to be checked if all models in cooldown s/o @micahjsmith * docs(reliability.md): add fallback to specific model to docs * fix(utils.py): new 'is_prompt_caching_valid_prompt' helper util Allows user to identify if messages/tools have prompt caching Related issue: #6784 * feat(router.py): store model id for prompt caching valid prompt Allows routing to that model id on subsequent requests * fix(router.py): only cache if prompt is valid prompt caching prompt prevents storing unnecessary items in cache * feat(router.py): support routing prompt caching enabled models to previous deployments Closes #6784 * test: fix linting errors * feat(databricks/): convert basemodel to dict and exclude none values allow passing pydantic message to databricks * fix(utils.py): ensure all chat completion messages are dict * (feat) Track `custom_llm_provider` in LiteLLMSpendLogs (#7081) * add custom_llm_provider to SpendLogsPayload * add custom_llm_provider to SpendLogs * add custom llm provider to SpendLogs payload * test_spend_logs_payload * Add MLflow to the side bar (#7031) Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * (bug fix) SpendLogs update DB catch all possible DB errors for retrying (#7082) * catch DB_CONNECTION_ERROR_TYPES * fix DB retry mechanism for SpendLog updates * use DB_CONNECTION_ERROR_TYPES in auth checks * fix exp back off for writing SpendLogs * use _raise_failed_update_spend_exception to ensure errors print as NON blocking * test_update_spend_logs_multiple_batches_with_failure * (Feat) Add StructuredOutputs support for Fireworks.AI (#7085) * fix model cost map fireworks ai "supports_response_schema": true, * fix supports_response_schema * fix map openai params fireworks ai * test_map_response_format * test_map_response_format * added deepinfra/Meta-Llama-3.1-405B-Instruct (#7084) * bump: version 1.53.9 → 1.54.0 * fix deepinfra * litellm db fixes LiteLLM_UserTable (#7089) * ci/cd queue new release * fix llama-3.3-70b-versatile * refactor - use consistent file naming convention `AI21/` -> `ai21` (#7090) * fix refactor - use consistent file naming convention * ci/cd run again * fix naming structure * fix use consistent naming (#7092) --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: ali sayyah <ali.sayyah2@gmail.com>
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rajatvig
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Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
rajatvig
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* fix(main.py): support passing max retries to azure/openai embedding integrations Fixes BerriAI#7003 * feat(team_endpoints.py): allow updating team model aliases Closes BerriAI#6956 * feat(router.py): allow specifying model id as fallback - skips any cooldown check Allows a default model to be checked if all models in cooldown s/o @micahjsmith * docs(reliability.md): add fallback to specific model to docs * fix(utils.py): new 'is_prompt_caching_valid_prompt' helper util Allows user to identify if messages/tools have prompt caching Related issue: BerriAI#6784 * feat(router.py): store model id for prompt caching valid prompt Allows routing to that model id on subsequent requests * fix(router.py): only cache if prompt is valid prompt caching prompt prevents storing unnecessary items in cache * feat(router.py): support routing prompt caching enabled models to previous deployments Closes BerriAI#6784 * test: fix linting errors * feat(databricks/): convert basemodel to dict and exclude none values allow passing pydantic message to databricks * fix(utils.py): ensure all chat completion messages are dict * (feat) Track `custom_llm_provider` in LiteLLMSpendLogs (BerriAI#7081) * add custom_llm_provider to SpendLogsPayload * add custom_llm_provider to SpendLogs * add custom llm provider to SpendLogs payload * test_spend_logs_payload * Add MLflow to the side bar (BerriAI#7031) Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> * (bug fix) SpendLogs update DB catch all possible DB errors for retrying (BerriAI#7082) * catch DB_CONNECTION_ERROR_TYPES * fix DB retry mechanism for SpendLog updates * use DB_CONNECTION_ERROR_TYPES in auth checks * fix exp back off for writing SpendLogs * use _raise_failed_update_spend_exception to ensure errors print as NON blocking * test_update_spend_logs_multiple_batches_with_failure * (Feat) Add StructuredOutputs support for Fireworks.AI (BerriAI#7085) * fix model cost map fireworks ai "supports_response_schema": true, * fix supports_response_schema * fix map openai params fireworks ai * test_map_response_format * test_map_response_format * added deepinfra/Meta-Llama-3.1-405B-Instruct (BerriAI#7084) * bump: version 1.53.9 → 1.54.0 * fix deepinfra * litellm db fixes LiteLLM_UserTable (BerriAI#7089) * ci/cd queue new release * fix llama-3.3-70b-versatile * refactor - use consistent file naming convention `AI21/` -> `ai21` (BerriAI#7090) * fix refactor - use consistent file naming convention * ci/cd run again * fix naming structure * fix use consistent naming (BerriAI#7092) --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com> Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com> Co-authored-by: ali sayyah <ali.sayyah2@gmail.com>
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Title
Adding MLflow tracing doc to the sidebar.
Type
📖 Documentation
Changes
Adding the MLflow tracing page to the sidebar.
I also found the image (doc/img/mlflow_tracing.png) is not rendered. @krrishdholakia Do you have any idea why it happens?