Fix: Asure-OpenAI resource not found (#11934)

### What problem does this PR solve?

Asure-OpenAI resource not found. #11750


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

rag/llm/__init__.py

@@ -55,6 +55,7 @@ class SupportedLiteLLMProvider(StrEnum):
     DeerAPI = "DeerAPI"
     GPUStack = "GPUStack"
     OpenAI = "OpenAI"
+    Azure_OpenAI = "Azure-OpenAI"
 
 
 FACTORY_DEFAULT_BASE_URL = {
@@ -116,7 +117,7 @@ LITELLM_PROVIDER_PREFIX = {
     SupportedLiteLLMProvider.DeerAPI: "openai/",
     SupportedLiteLLMProvider.GPUStack: "openai/",
     SupportedLiteLLMProvider.OpenAI: "openai/",
-
+    SupportedLiteLLMProvider.Azure_OpenAI: "azure/",
 }
 
 ChatModel = globals().get("ChatModel", {})

rag/llm/chat_model.py

@@ -28,7 +28,6 @@ import json_repair
 import litellm
 import openai
 from openai import AsyncOpenAI, OpenAI
-from openai.lib.azure import AzureOpenAI, AsyncAzureOpenAI
 from strenum import StrEnum
 
 from common.token_utils import num_tokens_from_string, total_token_count_from_response
@@ -517,26 +516,6 @@ class ModelScopeChat(Base):
         super().__init__(key, model_name.split("___")[0], base_url, **kwargs)
 
 
-class AzureChat(Base):
-    _FACTORY_NAME = "Azure-OpenAI"
-
-    def __init__(self, key, model_name, base_url, **kwargs):
-        api_key = json.loads(key).get("api_key", "")
-        api_version = json.loads(key).get("api_version", "2024-02-01")
-        super().__init__(key, model_name, base_url, **kwargs)
-        self.client = AzureOpenAI(api_key=api_key, azure_endpoint=base_url, api_version=api_version)
-        self.async_client = AsyncAzureOpenAI(api_key=key, base_url=base_url, api_version=api_version)
-        self.model_name = model_name
-
-    @property
-    def _retryable_errors(self) -> set[str]:
-        return {
-            LLMErrorCode.ERROR_RATE_LIMIT,
-            LLMErrorCode.ERROR_SERVER,
-            LLMErrorCode.ERROR_QUOTA,
-        }
-
-
 class BaiChuanChat(Base):
     _FACTORY_NAME = "BaiChuan"
 
@@ -1219,6 +1198,7 @@ class LiteLLMBase(ABC):
         "DeerAPI",
         "GPUStack",
         "OpenAI",
+        "Azure-OpenAI",
     ]
 
     def __init__(self, key, model_name, base_url=None, **kwargs):
@@ -1244,6 +1224,9 @@ class LiteLLMBase(ABC):
         elif self.provider == SupportedLiteLLMProvider.OpenRouter:
             self.api_key = json.loads(key).get("api_key", "")
             self.provider_order = json.loads(key).get("provider_order", "")
+        elif self.provider == SupportedLiteLLMProvider.Azure_OpenAI:
+            self.api_key = json.loads(key).get("api_key", "")
+            self.api_version = json.loads(key).get("api_version", "2024-02-01")
 
     def _get_delay(self):
         return self.base_delay * random.uniform(10, 150)
@@ -1675,6 +1658,16 @@ class LiteLLMBase(ABC):
                     "api_base": self.base_url,
                 }
             )
+        elif self.provider == SupportedLiteLLMProvider.Azure_OpenAI:
+            completion_args.pop("api_key", None)
+            completion_args.pop("api_base", None)
+            completion_args.update(
+                {
+                    "api_key": self.api_key,
+                    "api_base": self.base_url,
+                    "api_version": self.api_version,
+                }
+            )
 
         # Ollama deployments commonly sit behind a reverse proxy that enforces
         # Bearer auth. Ensure the Authorization header is set when an API key