Litellm dev 02 13 2025 p2 (#8525)

* fix(azure/chat/gpt_transformation.py): add 'prediction' as a support azure param

Closes https://github.com/BerriAI/litellm/issues/8500

* build(model_prices_and_context_window.json): add new 'gemini-2.0-pro-exp-02-05' model

* style: cleanup invalid json trailing commma

* feat(utils.py): support passing 'tokenizer_config' to register_prompt_template

enables passing complete tokenizer config of model to litellm

 Allows calling deepseek on bedrock with the correct prompt template

* fix(utils.py): fix register_prompt_template for custom model names

* test(test_prompt_factory.py): fix test

* test(test_completion.py): add e2e test for bedrock invoke deepseek ft model

* feat(base_invoke_transformation.py): support hf_model_name param for bedrock invoke calls

enables proxy admin to set base model for ft bedrock deepseek model

* feat(bedrock/invoke): support deepseek_r1 route for bedrock

makes it easy to apply the right chat template to that call

* feat(constants.py): store deepseek r1 chat template - allow user to get correct response from deepseek r1 without extra work

* test(test_completion.py): add e2e mock test for bedrock deepseek

* docs(bedrock.md): document new deepseek_r1 route for bedrock

allows us to use the right config

* fix(exception_mapping_utils.py): catch read operation timeout

litellm/llms/bedrock/chat/invoke_handler.py

@@ -1,5 +1,5 @@
 """
-Manages calling Bedrock's `/converse` API + `/invoke` API 
+TODO: DELETE FILE. Bedrock LLM is no longer used. Goto `litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py`
 """
 
 import copy