chore: import upstream snapshot with attribution

examples/flows/chat/chat-basic-maf/test_chat_flow.py

@@ -0,0 +1,69 @@
+"""
+Sample script to test the Basic Chat MAF workflow.
+
+Run:
+    python test_chat_flow.py
+"""
+
+import asyncio
+
+from chat_flow import ChatInput, create_workflow
+
+
+async def main():
+    # Test 1: Single-turn — no chat history
+    print("=" * 60)
+    print("Test 1: Single-turn (no history)")
+    print("=" * 60)
+    workflow = create_workflow()
+    result = await workflow.run(ChatInput(question="What is ChatGPT?"))
+    print("Q: What is ChatGPT?")
+    print(f"A: {result.get_outputs()[0]}\n")
+
+    # Test 2: Multi-turn — with one prior exchange
+    print("=" * 60)
+    print("Test 2: Multi-turn (with history)")
+    print("=" * 60)
+    history = [
+        {
+            "inputs": {"question": "What is ChatGPT?"},
+            "outputs": {"answer": "ChatGPT is a large language model chatbot developed by OpenAI."},
+        }
+    ]
+    workflow = create_workflow()
+    result = await workflow.run(
+        ChatInput(
+            question="How is it different from GPT-4?",
+            chat_history=history,
+        )
+    )
+    print("Q: How is it different from GPT-4?")
+    print(f"A: {result.get_outputs()[0]}\n")
+
+    # Test 3: Multi-turn — longer conversation
+    print("=" * 60)
+    print("Test 3: Multi-turn (longer conversation)")
+    print("=" * 60)
+    history = [
+        {
+            "inputs": {"question": "What is 2+2?"},
+            "outputs": {"answer": "4"},
+        },
+        {
+            "inputs": {"question": "Multiply that by 3"},
+            "outputs": {"answer": "12"},
+        },
+    ]
+    workflow = create_workflow()
+    result = await workflow.run(
+        ChatInput(
+            question="Now divide by 6",
+            chat_history=history,
+        )
+    )
+    print("Q: Now divide by 6")
+    print(f"A: {result.get_outputs()[0]}\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())