Skip to main content

​
Chat Metrics

Chat automatically tracks costs, tokens, and session metrics for monitoring and analytics.

​
Cost Tracking

from upsonic import Agent, Chat

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?")

# Access cost metrics
print(f"Total cost: ${chat.total_cost:.4f}")
print(f"Input tokens: {chat.input_tokens}")
print(f"Output tokens: {chat.output_tokens}")

​
Detailed Cost History

from upsonic import Agent, Chat

agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)

await chat.invoke("Hello")

# Get detailed cost history
cost_history = chat.get_cost_history()
for entry in cost_history:
    print(f"Time: {entry['timestamp']}")
    print(f"Cost: ${entry['estimated_cost']:.4f}")
    print(f"Model: {entry['model_name']}")

​
Session Metrics

from upsonic import Agent, Chat

agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)

await chat.invoke("Hello")

# Get comprehensive session metrics
metrics = chat.get_session_metrics()
print(f"Duration: {metrics.duration:.1f}s")
print(f"Messages: {metrics.message_count}")
print(f"Avg response time: {metrics.average_response_time:.2f}s")
print(f"Messages/min: {metrics.messages_per_minute:.1f}")

​
Session Summary

from upsonic import Agent, Chat

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?")

# Get human-readable summary
summary = chat.get_session_summary()
print(summary)

​
Session Duration and Activity

from upsonic import Agent, Chat

agent = Agent("openai/gpt-4o")
chat = Chat(session_id="session1", user_id="user1", agent=agent)

await chat.invoke("Hello")

# Session timing
print(f"Session duration: {chat.session_duration:.1f}s")
print(f"Last activity: {chat.last_activity:.1f}s ago")