Adding tool calling support for Azure Inference API.

Author: rohitprasad15

aisuite/providers/azure_provider.py

@@ -4,6 +4,7 @@
 
 from aisuite.provider import Provider
 from aisuite.framework import ChatCompletionResponse
+from aisuite.framework.message import Message, ChatCompletionMessageToolCall, Function
 
 
 class AzureProvider(Provider):
@@ -18,14 +19,35 @@ def __init__(self, **config):
             )
 
     def chat_completions_create(self, model, messages, **kwargs):
-        url = f"https://{model}.westus3.models.ai.azure.com/v1/chat/completions"
-        url = f"https://{self.base_url}/chat/completions"
-        if self.base_url:
-            url = f"{self.base_url}/chat/completions"
+        url = f"{self.base_url}/chat/completions"
 
         # Remove 'stream' from kwargs if present
         kwargs.pop("stream", None)
-        data = {"messages": messages, **kwargs}
+
+        # Transform messages if they are Message objects
+        transformed_messages = []
+        for message in messages:
+            if isinstance(message, Message):
+                transformed_messages.append(message.model_dump(mode="json"))
+            else:
+                transformed_messages.append(message)
+
+        # Prepare the request payload with transformed messages
+        data = {"messages": transformed_messages}
+
+        # Add tools if provided
+        if "tools" in kwargs:
+            data["tools"] = kwargs["tools"]
+            # Remove from kwargs to avoid duplication
+            kwargs.pop("tools")
+
+        # Add tool_choice if provided
+        if "tool_choice" in kwargs:
+            data["tool_choice"] = kwargs["tool_choice"]
+            kwargs.pop("tool_choice")
+
+        # Add remaining kwargs
+        data.update(kwargs)
 
         body = json.dumps(data).encode("utf-8")
         headers = {"Content-Type": "application/json", "Authorization": self.api_key}
@@ -36,10 +58,32 @@ def chat_completions_create(self, model, messages, **kwargs):
                 result = response.read()
                 resp_json = json.loads(result)
                 completion_response = ChatCompletionResponse()
-                # TODO: Add checks for fields being present in resp_json.
-                completion_response.choices[0].message.content = resp_json["choices"][
-                    0
-                ]["message"]["content"]
+
+                # Process the response
+                choice = resp_json["choices"][0]
+                message = choice["message"]
+
+                # Set basic message content
+                completion_response.choices[0].message.content = message.get("content")
+                completion_response.choices[0].message.role = message.get(
+                    "role", "assistant"
+                )
+
+                # Handle tool calls if present
+                if "tool_calls" in message and message["tool_calls"] is not None:
+                    tool_calls = []
+                    for tool_call in message["tool_calls"]:
+                        new_tool_call = ChatCompletionMessageToolCall(
+                            id=tool_call["id"],
+                            type=tool_call["type"],
+                            function={
+                                "name": tool_call["function"]["name"],
+                                "arguments": tool_call["function"]["arguments"],
+                            },
+                        )
+                        tool_calls.append(new_tool_call)
+                    completion_response.choices[0].message.tool_calls = tool_calls
+
                 return completion_response
 
         except urllib.error.HTTPError as error: