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Anyone experiencing issues with the agent deployme...
# ask-ai
a
Anyone experiencing issues with the agent deployment in BUILD plan ? My agent stays in "Scheduling", Even first time it got deployed, agent never joined any room. Just previous deployment (current one has some small changes only) worked fine till last night
✅ 1
t
Thanks for reaching out, AI. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I hear you: your agent stays in "Scheduling" and never joins rooms after deployment, while the previous deployment worked until last night. Likely cause and quick checks • On the Build plan, agents can experience cold starts: after inactivity a new agent can take extra time to initialize, which can make it appear stuck in "Scheduling." • Check agent health with 
lk agent status
and review agent logs for initialization messages (look for startup errors or "draining worker" entries). • Confirm your deployment routed new sessions to the new version and that old instances finished draining. If the agent still never joins rooms • Share these details so I can help dig deeper: a. Project ID and agent name/version. b. Exact timestamps of the failing deployment. c. Any log snippets from 
lk agent status
or agent startup logs (errors/warnings). d. Whether this is reproducible (every deploy) or intermittent. Options • If you need lower latency and always-warm agents, Build plan cold starts are expected; upgrading to a paid plan removes the cold-start behavior. • If you prefer, paste the log lines you see and I’ll help interpret them and suggest targeted fixes. Would you like to share the logs and the project/agent IDs now? Sources: Understand and Improve Agent Latency | LiveKit | https://livekit.com/pricing.md| | Deployment reliability on LiveKit Cloud | LiveKit | LiveKit Platform | Build, run, and observe voice AI agents | LiveKit | Deploy and scale agents on LiveKit Cloud | LiveKit, with interactive elements
a
1. the project name is : part_search_llg 2. the internal project id: p_1gsiu8ureus 3. The agent name: parts-search-agent 4. The agent ID: CA_WyJa5hVuMf5g 5. current plan: Build 6. agent version: Uo6uypyV54au Please let me know why my agent remains in "PENDING" status
t
Thanks — I see you provided project 
part_search_llg
(p_1gsiu8ureus), agent 
parts-search-agent
(CA_WyJa5hVuMf5g), version 
Uo6uypyV54au
on the Build plan. You're asking why the agent stays in "PENDING"/"Scheduling." Most likely cause • On the Build plan agents can scale to zero and experience cold starts; that makes new agent instances appear stuck in "PENDING" while they initialize. This is expected behavior on Build and not present on paid plans. What to check now (quick steps) 1. Run 
lk agent status
to confirm the agent state and recent transitions. 2. Fetch startup logs with 
lk agent logs --agent parts-search-agent --version Uo6uypyV54au
and look for startup errors, missing secrets, or long initialization timestamps. 3. Confirm your deployment routed new sessions to the new version and that no required secrets/env vars are missing. 4. Check for any repeated crash/restart lines in logs (indicates startup failure rather than just cold start). If you can paste: • The last 50–200 log lines from 
lk agent logs
around the time you saw "PENDING" • The output of 
lk agent status
I’ll read the logs and point to the specific error or next remediation. If you’d prefer lower latency/never-warm agents, upgrading off Build removes cold starts. Sources: Understand and Improve Agent Latency | LiveKit | Deployment reliability on LiveKit Cloud | LiveKit | Where to find your Agent Logs | LiveKit, with interactive elements
a
agent-starter-python) intellinetmacbook2@Intellinets-MacBook-Pro parts-search-agent % lk agent logs --agent parts-search-agent --version Uo6uypyV54au Incorrect Usage: flag provided but not defined: -agent flag provided but not defined: -agent
t
Thanks — I see the CLI error. You're trying to fetch logs for 
parts-search-agent
(CA_WyJa5hVuMf5g). The 
lk agent logs
command uses 
--id
, not 
--agent
. Please run these two commands and paste their outputs: 1. List agents to confirm the ID:
Copy code
lk agent list
1. Fetch logs for your agent by ID:
Copy code
lk agent logs --id CA_WyJa5hVuMf5g
If logs are long, paste the last ~200 lines or any error/warning sections. I’ll review them and point to the specific cause of the PENDING status. Sources: Where to find your Agent Logs | LiveKit | Deployment reliability on LiveKit Cloud | LiveKit, with interactive elements
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