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What Are Sessions?

Sessions in Laminar provide a way to group related traces together. This is particularly useful for:
  • Grouping traces from a single user interaction
  • Connecting multiple API requests that form a logical sequence
  • Organizing conversational turns in a chatbot
  • Tracking complex workflows across multiple functions or services
For example, in a conversational agent, each turn in the conversation might be represented as a trace, while the entire conversation would be a session.

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Creating Sessions

You can associate a trace with a session using the following methods:
  • JavaScript/TypeScript
  • Python
Use the Laminar.setTraceSessionId function inside a span context:
import { Laminar, observe } from "@lmnr-ai/lmnr";

Laminar.initialize({
  projectApiKey: process.env.LMNR_PROJECT_API_KEY,
  instrumentModules: {
    // your libraries to instrument
  },
});

await observe({ name: "myFunction" }, async () => {
  Laminar.setTraceSessionId("session123");
  // Your code here
});

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Alternative: Setting Session ID with Observe

You can also set the session ID directly when using the observe decorator/wrapper:
  • JavaScript/TypeScript
  • Python
import { Laminar, observe } from "@lmnr-ai/lmnr";

// Set session ID in the observe function
await observe(
  {
    name: "myFunction",
    sessionId: "session123"
  },
  async () => {
    // Function code here
  }
);

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Viewing Sessions

To view sessions in the Laminar UI:
  1. Navigate to the Traces page
  2. Select the “Sessions” tab
  3. Click on a session to expand it and see all traces within that session
Sessions view
Each trace within a session contains the same information as a standalone trace:
A trace in a session

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Use Cases

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Chatbot Conversations

For a chatbot, each user message and response can be a separate trace, with the entire conversation as a session: 
@observe()
def handle_turn(user_message, conversation_id):
    # Must be within span context
    Laminar.set_trace_session_id(session_id=conversation_id)
    # Process message, call LLMs, etc.
    return response

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Multi-step Workflows

For complex workflows spanning multiple API calls: 
// Start a session for a user's checkout process
await observe(
  {
    name: "checkout", 
    sessionId: `checkout-${userId}`
  },
  async () => {
    // Each step in the process is a separate trace
    await observe({ name: "validateCart" }, async () => { /* ... */ });
    await observe({ name: "processPayment" }, async () => { /* ... */ });
    await observe({ name: "createOrder" }, async () => { /* ... */ });
  },
);
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