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(stable nov 21st release) #6863
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β¦n_schema fixes passing pydantic obj to anthropic Fixes #6766
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I've completed my review and didn't find any issues... but I did find this frog.
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βFile Path | Reviewed |
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litellm/llms/anthropic/chat/transformation.py | β |
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* fix(anthropic/chat/transformation.py): add json schema as values: json_schema fixes passing pydantic obj to anthropic Fixes #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 <[email protected]>
@@ -24,7 +24,7 @@ | |||
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler | |||
from litellm.llms.prompt_templates.factory import anthropic_messages_pt | |||
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# litellm.num_retries=3 | |||
# litellm.num_retries = 3 |
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Stable release for Nov 21st
Fixes #6766
Title
Relevant issues
Type
π New Feature
π Bug Fix
π§Ή Refactoring
π Documentation
π Infrastructure
β Test
Changes
[REQUIRED] Testing - Attach a screenshot of any new tests passing locall
If UI changes, send a screenshot/GIF of working UI fixes
Description by Korbit AI
What change is being made?
Enhance JSON response handling by updating JSON schema structure and adding "supports_response_schema" support to various models, remove a redundant model, and introduce new unit tests for validation of JSON response formats.
Why are these changes being made?
The changes are aimed at improving the compatibility and robustness of JSON response formats by encapsulating schema properties within a "values" object, thereby maintaining consistency across different models. The redundant model "anthropic/claude-3-5-sonnet-20241022" was removed to avoid duplication. New unit tests have been added to ensure that models properly support response schema and handle potential errors gracefully, which are crucial for reliable model performance and testing of edge cases like Internal Server Errors.