Wire through parallel_tool_calls to Responses API

Signed-off-by: Anastas Stoyanovsky <astoyano@redhat.com>

tests/integration/agents/test_openai_responses.py

@@ -682,3 +682,96 @@ def test_max_tool_calls_with_builtin_tools(openai_client, client_with_models, te
 
     # Verify we have a valid max_tool_calls field
     assert response_3.max_tool_calls == max_tool_calls[1]
+
+
+@pytest.mark.skip(reason="Tool calling is not reliable.")
+def test_parallel_tool_calls_true(openai_client, client_with_models, text_model_id):
+    """Test handling of max_tool_calls with function tools in responses."""
+    if isinstance(client_with_models, LlamaStackAsLibraryClient):
+        pytest.skip("OpenAI responses are not supported when testing with library client yet.")
+
+    client = openai_client
+    parallel_tool_calls = True
+
+    tools = [
+        {
+            "type": "function",
+            "name": "get_weather",
+            "description": "Get weather information for a specified location",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city name (e.g., 'New York', 'London')",
+                    },
+                },
+            },
+        }
+    ]
+
+    # First create a response that triggers function tools
+    response = client.responses.create(
+        model=text_model_id,
+        input="Get the weather in New York and in Paris",
+        tools=tools,
+        stream=False,
+        parallel_tool_calls=parallel_tool_calls,
+    )
+
+    # Verify we got two function calls and that the max_tool_calls do not affect function tools
+    assert len(response.output) == 2
+    assert response.output[0].type == "function_call"
+    assert response.output[0].name == "get_weather"
+    assert response.output[0].status == "completed"
+    assert response.output[1].type == "function_call"
+    assert response.output[1].name == "get_weather"
+    assert response.output[0].status == "completed"
+
+    # Verify we have a valid max_tool_calls field
+    assert response.parallel_tool_calls == parallel_tool_calls
+
+
+@pytest.mark.skip(reason="Tool calling is not reliable.")
+def test_parallel_tool_calls_false(openai_client, client_with_models, text_model_id):
+    """Test handling of max_tool_calls with function tools in responses."""
+    if isinstance(client_with_models, LlamaStackAsLibraryClient):
+        pytest.skip("OpenAI responses are not supported when testing with library client yet.")
+
+    client = openai_client
+    parallel_tool_calls = False
+
+    tools = [
+        {
+            "type": "function",
+            "name": "get_weather",
+            "description": "Get weather information for a specified location",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city name (e.g., 'New York', 'London')",
+                    },
+                },
+            },
+        }
+    ]
+
+    # First create a response that triggers function tools
+    response = client.responses.create(
+        model=text_model_id,
+        input="Get the weather in New York and in Paris",
+        tools=tools,
+        stream=False,
+        parallel_tool_calls=parallel_tool_calls,
+    )
+
+    # Verify we got two function calls and that the max_tool_calls do not affect function tools
+    assert len(response.output) == 1
+    assert response.output[0].type == "function_call"
+    assert response.output[0].name == "get_weather"
+    assert response.output[0].status == "completed"
+
+    # Verify we have a valid max_tool_calls field
+    assert response.parallel_tool_calls == parallel_tool_calls