Message History Limit
Limit context size to reduce token usage:import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("anthropic/claude-sonnet-4-5")
chat = Chat(
session_id="session1",
user_id="user1",
agent=agent,
num_last_messages=20
)
for i in range(30):
await chat.invoke(f"Message {i}")
print(f"Total stored: {len(chat.all_messages)}")
if __name__ == "__main__":
asyncio.run(main())
Summarization
Enable automatic conversation summarization:import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("anthropic/claude-sonnet-4-5")
chat = Chat(
session_id="session1",
user_id="user1",
agent=agent,
full_session_memory=True,
summary_memory=True
)
await chat.invoke("Tell me about machine learning")
await chat.invoke("What about deep learning?")
await chat.invoke("Summarize what we discussed")
if __name__ == "__main__":
asyncio.run(main())
Tool Call Results
Include tool execution results in memory:import asyncio
from upsonic import Agent, Chat
def get_weather(city: str) -> str:
"""Get current weather for a city."""
return f"Sunny, 22°C in {city}"
async def main():
agent = Agent("anthropic/claude-sonnet-4-5", tools=[get_weather])
chat = Chat(
session_id="session1",
user_id="user1",
agent=agent,
feed_tool_call_results=True
)
response = await chat.invoke("What is the weather in Paris?")
print(response)
if __name__ == "__main__":
asyncio.run(main())
Memory Mode
Control how user profiles are updated:import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("anthropic/claude-sonnet-4-5")
chat = Chat(
session_id="session1",
user_id="user1",
agent=agent,
user_analysis_memory=True,
user_memory_mode="update"
)
await chat.invoke("I like Python")
await chat.invoke("I also like JavaScript")
if __name__ == "__main__":
asyncio.run(main())