Token and Cost Tracking
Access usage metrics via properties:Copy
import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)
await chat.invoke("Hello")
await chat.invoke("How are you?")
print(f"Total cost: ${chat.total_cost:.4f}")
print(f"Input tokens: {chat.input_tokens}")
print(f"Output tokens: {chat.output_tokens}")
print(f"Total tokens: {chat.total_tokens}")
print(f"Total requests: {chat.total_requests}")
if __name__ == "__main__":
asyncio.run(main())
Session Metrics
Get comprehensive metrics viaget_session_metrics():
Copy
import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)
await chat.invoke("Hello")
metrics = chat.get_session_metrics()
print(f"Duration: {metrics.duration:.1f}s")
print(f"Messages: {metrics.message_count}")
print(f"Total cost: ${metrics.total_cost:.4f}")
print(f"Avg response time: {metrics.average_response_time:.2f}s")
if __name__ == "__main__":
asyncio.run(main())
Session Summary
Get a human-readable summary:Copy
import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)
await chat.invoke("Hello")
await chat.invoke("How are you?")
summary = chat.get_session_summary()
print(summary)
if __name__ == "__main__":
asyncio.run(main())
Run Usage Object
Access the full usage object:Copy
import asyncio
from upsonic import Agent, Chat
async def main():
agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)
await chat.invoke("Hello")
usage = chat.get_usage()
if usage:
print(f"Input tokens: {usage.input_tokens}")
print(f"Output tokens: {usage.output_tokens}")
print(f"Cost: ${usage.cost:.4f}")
if __name__ == "__main__":
asyncio.run(main())

