Thanks — I’m responding about your agent staying in Pending and how to get it to Running. What happens: agents stay in Pending while the system builds, uploads, and provisions the container. It will automatically become Running once deployment completes and the agent registers. What you can do now: • Run:

lk agent status

to view current state. • Check build logs:

lk agent logs --log-type build

for build/upload failures. • Check runtime logs for registration: look for the log line "registered worker" which confirms the agent is ready. • Verify secrets/environment: ensure

LIVEKIT_API_KEY

,

LIVEKIT_API_SECRET

, and

LIVEKIT_URL

(or equivalent) are correct and present. • Look for common failures: Dockerfile errors, missing dependencies, or container registry/network permission issues. If you’d like, tell me: • the output of

lk agent status

• any errors from

lk agent logs --log-type build

and I’ll help interpret them and suggest next steps. Sources: Deploy and scale agents on LiveKit Cloud | LiveKit | Deploy LiveKit Agents with GitHub Actions | LiveKit | examples/drive-thru | livekit/livekit_composite | DeepWiki | Build Your First AI Voice Agent in Python: Complete Tutorial | LiveKit | Deployment reliability on LiveKit Cloud | LiveKit, with interactive elements