# feat: AzureOpenaiAPI support

app/config.py

@@ -21,7 +21,8 @@ class LLMSettings(BaseModel):
     api_key: str = Field(..., description="API key")
     max_tokens: int = Field(4096, description="Maximum number of tokens per request")
     temperature: float = Field(1.0, description="Sampling temperature")
-
+    api_type: str = Field(..., description="AzureOpenai or Openai")
+    api_version: str = Field(..., description="Azure Openai version if AzureOpenai")
 
 class AppConfig(BaseModel):
     llm: Dict[str, LLMSettings]
@@ -76,6 +77,9 @@ class Config:
             "api_key": base_llm.get("api_key"),
             "max_tokens": base_llm.get("max_tokens", 4096),
             "temperature": base_llm.get("temperature", 1.0),
+            "api_type": base_llm.get("api_type", ""),
+            "api_version": base_llm.get("api_version", ""),
+
         }
 
         config_dict = {

app/llm.py

@@ -6,6 +6,7 @@ from openai import (
     AuthenticationError,
     OpenAIError,
     RateLimitError,
+    AsyncAzureOpenAI
 )
 from tenacity import retry, stop_after_attempt, wait_random_exponential
 
@@ -35,8 +36,19 @@ class LLM:
             self.model = llm_config.model
             self.max_tokens = llm_config.max_tokens
             self.temperature = llm_config.temperature
+            self.api_type = llm_config.api_type
+            self.api_key = llm_config.api_key
+            self.api_version = llm_config.api_version
+            self.base_url = llm_config.base_url
+            if self.api_type == "azure":
+                self.client = AsyncAzureOpenAI(
+                    base_url=self.base_url,
+                    api_key=self.api_key,
+                    api_version=self.api_version
+                )
+            else:
                 self.client = AsyncOpenAI(
-                api_key=llm_config.api_key, base_url=llm_config.base_url
+                api_key=self.api_key, base_url=self.base_url
             )
 
     @staticmethod

config/config.example.toml

@@ -6,6 +6,15 @@ api_key = "sk-..."
 max_tokens = 4096
 temperature = 0.0
 
+[llm] #AZURE OPENAI:
+api_type= 'azure'
+model = "YOUR_MODEL_NAME" #"gpt-4o-mini"
+base_url = "{YOUR_AZURE_ENDPOINT.rstrip('/')}/openai/deployments/{AZURE_DEPOLYMENT_ID}"  
+api_key = "AZURE API KEY"
+max_tokens = 8096
+temperature = 0.0
+api_version="AZURE API VERSION" #"2024-08-01-preview"
+
 # Optional configuration for specific LLM models
 [llm.vision]
 model = "claude-3-5-sonnet"