Azure OpenAI LLM not working

[kmitul]

🐛 Describe the bug

The mem0 documentation says to use litellm config for integrating Azure OpenAI LLMs. But the current implementation of LiteLLM does not support Azure OpenAI deployments with custom deployment names. When attempting to use a deployment name that is not listed in the model_prices_and_context_window.json file, an exception is thrown. Link to the JSON file

Here's the code to reproduce the error.
(deployment name redacted for privacy)

import os
import dotenv
from mem0 import Memory
dotenv.load_dotenv()

config = {
    "llm": {
        "provider": "litellm",
        "config": {
            "model": "azure/gpt-4o-custom-deployment",
        }  
    },
    "embedder": {
        "provider": "huggingface",
    }
}

m = Memory.from_config(config)
result = m.add("I am working on improving my tennis skills. Suggest some online courses.", user_id="alice", metadata={"category": "hobbies"})
print(result)

Here's the error message:
(env paths are redacted for privacy)

---------------------------------------------------------------------------
Exception                                 Traceback (most recent call last)
/tmp/ipykernel_171823/3167584660.py in ?()
     26     }
     27 }
     28 
     29 m = Memory.from_config(config)
---> 30 result = m.add("I am working on improving my tennis skills. Suggest some online courses.", user_id="alice", metadata={"category": "hobbies"})
     31 print(result)

./venv/lib/python3.10/site-packages/mem0/memory/main.py in ?(self, data, user_id, agent_id, run_id, metadata, filters, prompt)
    139             filters["run_id"] = metadata["run_id"] = run_id
    140 
    141         if not prompt:
    142             prompt = MEMORY_DEDUCTION_PROMPT.format(user_input=data, metadata=metadata)
--> 143         extracted_memories = self.llm.generate_response(
    144             messages=[
    145                 {
    146                     "role": "system",

./venv/lib/python3.10/site-packages/mem0/llms/litellm.py in ?(self, messages, response_format, tools, tool_choice)
     63 
     64         Returns:
     65             str: The generated response.
     66         """
---> 67         if not litellm.supports_function_calling(self.config.model):
     68             raise ValueError(f"Model '{self.config.model}' in litellm does not support function calling.")
     69 
     70         params = {

./venv/lib/python3.10/site-packages/litellm/utils.py in ?(model)
   4202         if model_info.get("supports_function_calling", False):
   4203             return True
   4204         return False
   4205     else:
-> 4206         raise Exception(
   4207             f"Model not in model_prices_and_context_window.json. You passed model={model}."
   4208         )

Exception: Model not in model_prices_and_context_window.json. You passed model=azure/gpt-4o-custom-deployment