[Feature]: cost for bedrock Cross region inference model isnt mapped

[ramammah]

The Feature

"This model isn't mapped yet. model=bedrock/us-east-2/us.anthropic.claude-3-haiku-20240307-v1:0, custom_llm_provider=bedrock. Add it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json."

  | `Traceback (most recent call last):\n File "/usr/lib/python3.13/site-packages/litellm/utils.py", line 4277, in _get_model_info_helper\n raise ValueError(\n "This model isn't mapped yet. Add it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json"\n )\nValueError: This model isn't mapped yet. Add it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File "/usr/lib/python3.13/site-packages/litellm/litellm_core_utils/litellm_logging.py", line 832, in _response_cost_calculator\n response_cost = litellm.response_cost_calculator(\n **response_cost_calculator_kwargs\n )\n File "/usr/lib/python3.13/site-packages/litellm/cost_calculator.py", line 830, in response_cost_calculator\n raise e\n File "/usr/lib/python3.13/site-packages/litellm/cost_calculator.py", line 818, in response_cost_calculator\n response_cost = completion_cost(\n completion_response=response_object,\n ...<6 lines>...\n prompt=prompt,\n )\n File "/usr/lib/python3.13/site-packages/litellm/cost_calculator.py", line 768, in completion_cost\n raise e\n File "/usr/lib/python3.13/site-packages/litellm/cost_calculator.py", line 747, in completion_cost\n ) = cost_per_token(\n ~~~~~~~~~~~~~~^\n model=model,\n ^^^^^^^^^^^^\n ...<13 lines>...\n audio_transcription_file_duration=audio_transcription_file_duration,\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n )\n ^\n File "/usr/lib/python3.13/site-packages/litellm/cost_calculator.py", line 287, in cost_per_token\n model_info = _cached_get_model_info_helper(\n model=model, custom_llm_provider=custom_llm_provider\n )\n File "/usr/lib/python3.13/site-packages/litellm/caching/_internal_lru_cache.py", line 25, in wrapped\n raise result[1]\n File "/usr/lib/python3.13/site-packages/litellm/caching/_internal_lru_cache.py", line 18, in wrapper\n return ("success", f(*args, **kwargs))\n ~^^^^^^^^^^^^^^^^^\n File "/usr/lib/python3.13/site-packages/litellm/utils.py", line 4155, in _cached_get_model_info_helper\n return _get_model_info_helper(model=model, custom_llm_provider=custom_llm_provider)\n File "/usr/lib/python3.13/site-packages/litellm/utils.py", line 4384, in _get_model_info_helper\n raise Exception(\n ...<3 lines>...\n )\nException: This model isn't mapped yet. model=bedrock/us-east-2/us.anthropic.claude-3-haiku-20240307-v1:0, custom_llm_provider=bedrock. Add it here - https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json.\n` -- | --   | "us.anthropic.claude-3-haiku-20240307-v1:0" -- | --

it should be the same price as the OD model ID

Motivation, pitch

AWS is asking their customers to move toward CRIS

Are you a ML Ops Team?

No

Twitter / LinkedIn details

No response

[krrishdholakia]

@ramammah i can see the cost mapped -

litellm/model_prices_and_context_window.json

Line 5857 in a713d7d

"us.anthropic.claude-3-haiku-20240307-v1:0": {

How do i repro this error?

cc: @ishaan-jaff for your qa effort

[krrishdholakia]

Unable to repro with this -

resp = litellm.completion(
        model="bedrock/us.anthropic.claude-3-haiku-20240307-v1:0",
        messages=[{"role": "user", "content": "Hello, how are you?"}],
        aws_region_name="us-east-1",
        mock_response="Hello, how are you?",
    )
    assert resp._hidden_params["response_cost"] > 0