Add convert util func TaskMessages to OAI agents lib

pyproject.toml

@@ -32,7 +32,7 @@ dependencies = [
     "jinja2>=3.1.3,<4",
     "mcp[cli]>=1.4.1",
     "scale-gp>=0.1.0a59",
-    "openai-agents>=0.0.7",
+    "openai-agents>=0.0.7,!=0.2.3", # 0.2.3 bug - https://github.com/openai/openai-agents-python/issues/1276
     "tzlocal>=5.3.1",
     "tzdata>=2025.2",
     "pytest>=8.4.0",

src/agentex/lib/types/converters.py

@@ -0,0 +1,60 @@
+from agentex.types.task_message import TaskMessage
+from agentex.types.text_content import TextContent
+from agentex.types.tool_request_content import ToolRequestContent
+from agentex.types.tool_response_content import ToolResponseContent
+import json
+from agents import TResponseInputItem
+
+
+def convert_task_messages_to_oai_agents_inputs(
+    task_messages: list[TaskMessage],
+) -> list[TResponseInputItem]:
+    """
+    Convert a list of TaskMessages to a list of OpenAI Agents SDK inputs (TResponseInputItem).
+
+    Args:
+        task_messages: The list of TaskMessages to convert.
+
+    Returns:
+        A list of OpenAI Agents SDK inputs (TResponseInputItem).
+    """
+    converted_messages = []
+    for task_message in task_messages:
+        task_message_content = task_message.content
+        if isinstance(task_message_content, TextContent):
+            converted_messages.append(
+                {
+                    "role": (
+                        "user" if task_message_content.author == "user" else "assistant"
+                    ),
+                    "content": task_message_content.content,
+                }
+            )
+        elif isinstance(task_message_content, ToolRequestContent):
+            converted_messages.append(
+                {
+                    "type": "function_call",
+                    "call_id": task_message_content.tool_call_id,
+                    "name": task_message_content.name,
+                    "arguments": json.dumps(task_message_content.arguments),
+                }
+            )
+        elif isinstance(task_message_content, ToolResponseContent):
+            content_str = (
+                task_message_content.content
+                if isinstance(task_message_content.content, str)
+                else json.dumps(task_message_content.content)
+            )
+            converted_messages.append(
+                {
+                    "type": "function_call_output",
+                    "call_id": task_message_content.tool_call_id,
+                    "output": content_str,
+                }
+            )
+        else:
+            raise ValueError(
+                f"Unsupported content type for converting TaskMessage to OpenAI Agents SDK input: {type(task_message.content)}"
+            )
+
+    return converted_messages