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POST
/
lens
/
sessions
/
destroy
curl -X POST https://api.u1.archetypeai.app/v0.5/lens/sessions/destroy \
  -H "Authorization: Bearer $ATAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "session_id": "lsn-250313c2177253cbaa7a73542edd90"
  }'

{
  "session_id": "lsn-2512078e5c9ce4d312a6681e771542",
  "lens_id": "lns-test-lens-3de60a5c",
  "last_update_timestamp": 1765095462.576972,
  "session_status": "SESSION_STATUS_DESTROYED",
  "session_runner": "lens_service:runner:lens-node-worker-node-abc123",
  "session_endpoint": "wss://api.u1.archetypeai.app/v0.5/lens/sessions/lsn-2512078e5c9ce4d312a6681e771542",
  "session_duration_sec": 53.79125928878784
}

Documentation Index

Fetch the complete documentation index at: https://docs.archetypeai.app/llms.txt

Use this file to discover all available pages before exploring further.

​
Overview

This endpoint destroys an active lens session, closing any open connections and freeing up resources. Always destroy sessions when you’re done using them to avoid hitting concurrent session limits.

​
Request

​
session_id
string
required
The unique session ID to destroy. This is returned when creating a session.

​
Response

On success, returns the destroyed session record. Errors are returned with an HTTP 4xx status and an errors array (no is_valid field).
​
session_id
string
The ID of the destroyed session.
​
lens_id
string
The lens ID the session was attached to.
​
session_status
string
Final status of the session (typically SESSION_STATUS_DESTROYED).
​
session_runner
string
Identifier of the backend runner that hosted the session.
​
session_endpoint
string
WebSocket URL the session was reachable at.
​
last_update_timestamp
float
Unix timestamp of the last update to the session record.
​
session_duration_sec
float
Total duration the session was active in seconds.
curl -X POST https://api.u1.archetypeai.app/v0.5/lens/sessions/destroy \
  -H "Authorization: Bearer $ATAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "session_id": "lsn-250313c2177253cbaa7a73542edd90"
  }'

{
  "session_id": "lsn-2512078e5c9ce4d312a6681e771542",
  "lens_id": "lns-test-lens-3de60a5c",
  "last_update_timestamp": 1765095462.576972,
  "session_status": "SESSION_STATUS_DESTROYED",
  "session_runner": "lens_service:runner:lens-node-worker-node-abc123",
  "session_endpoint": "wss://api.u1.archetypeai.app/v0.5/lens/sessions/lsn-2512078e5c9ce4d312a6681e771542",
  "session_duration_sec": 53.79125928878784
}

​
Best Practices

Always clean up sessions: Implement proper cleanup in your code to ensure sessions are destroyed even if errors occur:
try:
    # Create and use session
    session = create_session(lens_id)
    process_data(session)
finally:
    # Always destroy the session
    destroy_session(session['session_id'])
Sessions that are not explicitly destroyed will:
  • Continue consuming your concurrent session quota
  • Timeout after 30 minutes of inactivity
  • May result in hitting rate limits for new session creation