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#!/usr/bin/env python3
# Tencent is pleased to support the open source community by making tRPC-Agent-Python available.
#
# Copyright (C) 2026 Tencent. All rights reserved.
#
# tRPC-Agent-Python is licensed under Apache-2.0.
"""Run the weather query agent demo"""
import asyncio
from dotenv import load_dotenv
from trpc_agent_sdk.runners import Runner
from trpc_agent_sdk.sessions import InMemorySessionService
from trpc_agent_sdk.sessions import SessionServiceConfig
from trpc_agent_sdk.types import Content
from trpc_agent_sdk.types import Part
# Load environment variables from the .env file
load_dotenv()
def create_session_service():
"""Create session service"""
session_config = SessionServiceConfig(ttl=SessionServiceConfig.create_ttl_config(enable=True,
ttl_seconds=5,
cleanup_interval_seconds=5), )
session_service = InMemorySessionService(session_config=session_config)
return session_service
async def run_weather_agent(session_service: InMemorySessionService):
"""Run the weather query agent demo"""
app_name = "weather_agent_demo"
from agent.agent import root_agent
runner = Runner(app_name=app_name, agent=root_agent, session_service=session_service)
user_id = "in_memory_user"
current_session_id = "in_memory_session_1"
# Demonstrate query list
demo_queries = [
"Do you remember my name?",
"Do you remember my favorite color?",
"what is the weather like in paris?",
"Hello! My name is Alice. What's your name?",
"Do you remember my name?",
"My favorite color is blue.",
"Do you remember my favorite color?",
]
for query in demo_queries:
# Use a new session for each query
user_content = Content(parts=[Part.from_text(text=query)])
print("🤖 Assistant: ", end="", flush=True)
async for event in runner.run_async(user_id=user_id, session_id=current_session_id, new_message=user_content):
# Check if event.content exists
if not event.content or not event.content.parts:
continue
if event.partial:
for part in event.content.parts:
if part.text:
print(part.text, end="", flush=True)
continue
for part in event.content.parts:
# Skip the reasoning part; the output is already generated when partial=True
if part.thought:
continue
if part.function_call:
print(f"\n🔧 [Invoke Tool: {part.function_call.name}({part.function_call.args})]")
elif part.function_response:
print(f"📊 [Tool Result: {part.function_response.response}]")
# Uncomment to get the full text output of the LLM
# elif part.text:
# print(f"\n✅ {part.text}")
print("\n" + "-" * 40)
async def main():
session_service = create_session_service()
print("=" * 60)
print("First run")
print("=" * 60)
await run_weather_agent(session_service)
await asyncio.sleep(2)
print("=" * 60)
print("Second run")
print("=" * 60)
await run_weather_agent(session_service)
await asyncio.sleep(30)
print("=" * 60)
print("Third run")
print("=" * 60)
await run_weather_agent(session_service)
if __name__ == "__main__":
asyncio.run(main())