fix(anthropic.py): support async claude 3 tool calling + streaming

BerriAI#2644

litellm/llms/anthropic.py

@@ -301,7 +301,7 @@ def completion(
                 )
                 streaming_choice.delta = delta_obj
                 streaming_model_response.choices = [streaming_choice]
-                completion_stream = model_response_iterator(
+                completion_stream = ModelResponseIterator(
                     model_response=streaming_model_response
                 )
                 print_verbose(
@@ -330,8 +330,30 @@ def completion(
         return model_response
 
 
-def model_response_iterator(model_response):
-    yield model_response
+class ModelResponseIterator:
+    def __init__(self, model_response):
+        self.model_response = model_response
+        self.is_done = False
+
+    # Sync iterator
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        if self.is_done:
+            raise StopIteration
+        self.is_done = True
+        return self.model_response
+
+    # Async iterator
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self):
+        if self.is_done:
+            raise StopAsyncIteration
+        self.is_done = True
+        return self.model_response
 
 
 def embedding():

litellm/tests/test_streaming.py

@@ -2089,3 +2089,58 @@ def test_completion_claude_3_function_call_with_streaming():
         # raise Exception("it worked!")
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
+
+
+@pytest.mark.asyncio
+async def test_acompletion_claude_3_function_call_with_streaming():
+    litellm.set_verbose = True
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_current_weather",
+                "description": "Get the current weather in a given location",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                        },
+                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                    },
+                    "required": ["location"],
+                },
+            },
+        }
+    ]
+    messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]
+    try:
+        # test without max tokens
+        response = await acompletion(
+            model="claude-3-opus-20240229",
+            messages=messages,
+            tools=tools,
+            tool_choice="auto",
+            stream=True,
+        )
+        idx = 0
+        print(f"response: {response}")
+        async for chunk in response:
+            # print(f"chunk: {chunk}")
+            if idx == 0:
+                assert (
+                    chunk.choices[0].delta.tool_calls[0].function.arguments is not None
+                )
+                assert isinstance(
+                    chunk.choices[0].delta.tool_calls[0].function.arguments, str
+                )
+                validate_first_streaming_function_calling_chunk(chunk=chunk)
+            elif idx == 1:
+                validate_second_streaming_function_calling_chunk(chunk=chunk)
+            elif chunk.choices[0].finish_reason is not None:  # last chunk
+                validate_final_streaming_function_calling_chunk(chunk=chunk)
+            idx += 1
+        # raise Exception("it worked!")
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")