Add anthropic thinking + reasoning content support (#8778)

* feat(anthropic/chat/transformation.py): add anthropic thinking param support

* feat(anthropic/chat/transformation.py): support returning thinking content for anthropic on streaming responses

* feat(anthropic/chat/transformation.py): return list of thinking blocks (include block signature)

allows usage in tool call responses

* fix(types/utils.py): extract and map reasoning_content from anthropic as content str

* test: add testing to ensure thinking_blocks are returned at the root

* fix(anthropic/chat/handler.py): return thinking blocks on streaming - include signature

* feat(factory.py): handle anthropic thinking blocks translation if in assistant response

* test: handle openai internal instability

* test: handle openai audio instability

* ci: pin anthropic dep

* test: handle openai audio instability

* fix: fix linting error

* refactor(anthropic/chat/transformation.py): refactor function to remain <50 LOC

* fix: fix linting error

* fix: fix linting error

* fix: fix linting error

* fix: fix linting error

litellm/llms/base_llm/base_utils.py

@@ -9,6 +9,7 @@ from typing import List, Optional, Type, Union
 from openai.lib import _parsing, _pydantic
 from pydantic import BaseModel
 
+from litellm._logging import verbose_logger
 from litellm.types.llms.openai import AllMessageValues
 from litellm.types.utils import ProviderSpecificModelInfo
 
@@ -132,6 +133,9 @@ def map_developer_role_to_system_role(
     new_messages: List[AllMessageValues] = []
     for m in messages:
         if m["role"] == "developer":
+            verbose_logger.debug(
+                "Translating developer role to system role for non-OpenAI providers."
+            )  # ensure user knows what's happening with their input.
             new_messages.append({"role": "system", "content": m["content"]})
         else:
             new_messages.append(m)