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>

tests/local_testing/test_utils.py

@@ -749,6 +749,7 @@ def test_convert_model_response_object():
         ("gemini/gemini-1.5-pro", True),
         ("predibase/llama3-8b-instruct", True),
         ("gpt-3.5-turbo", False),
+        ("groq/llama3-70b-8192", True),
     ],
 )
 def test_supports_response_schema(model, expected_bool):