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chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

49 lines
1.4 KiB
Python

"""Test script for the chat-math-variant MAF workflow."""
import asyncio
from dotenv import load_dotenv
load_dotenv()
from workflow import ChatInput, build_workflow # noqa: E402
async def test_single_turn():
"""Single-turn: ask a simple math question with each variant."""
for variant in ("variant_0", "variant_1", "variant_2"):
print(f"\n--- {variant} ---")
workflow = build_workflow(variant)
result = await workflow.run(ChatInput(question="1+1=?", variant=variant))
print("Answer:", result.get_outputs()[0])
async def test_multi_turn():
"""Multi-turn: simulate a conversation, then ask for the sum of all previous answers."""
workflow = build_workflow("variant_0")
chat_history = [
{"inputs": {"question": "1+1=?"}, "outputs": {"answer": "2"}},
{"inputs": {"question": "2+2=?"}, "outputs": {"answer": "4"}},
{"inputs": {"question": "3+3=?"}, "outputs": {"answer": "6"}},
]
result = await workflow.run(
ChatInput(
question="What is the sum of all the answers you gave so far?",
chat_history=chat_history,
variant="variant_0",
)
)
print("\n--- multi-turn (variant_0) ---")
print("Answer:", result.get_outputs()[0])
async def main():
await test_single_turn()
await test_multi_turn()
if __name__ == "__main__":
asyncio.run(main())