05SESSIONS & USERS

Group by session and user

One conversation is many traces. Pass a session id to stitch every turn into a single thread, and a user id to slice your data by the people actually using the product.

Group multi-turn chats into one replayable session timeline.
Filter every metric — cost, latency, volume — by end user.
Tag traces by environment, feature, or experiment for fast filtering.
Spot your heaviest users and most expensive conversations.

↗Group your traces

Group by session 👥

trace = captureTrace(
    name="chat-turn",
    session_id="sess-42",
    user_id="user-1",
    tags=["chatbot", "production"],
)

# every turn sharing sess-42 is stitched into one conversation view

Use group by session and user in production

Stitch multi-turn conversations together and slice by end user. Currai keeps this information connected to the conversation, user, session, and supporting trace so product and engineering teams can investigate the same evidence.

Start with one production workflow, verify the captured data, and use the resulting evidence to find recurring friction, debug failures, and measure whether each release improves the agent experience.

Follow the Currai getting-started guide to connect a real agent, then review the AI agent monitoring playbook for a practical production workflow.

↗Get Started