how do i fix this #3 [internal] load metadata for...
# ask-ai
e
how do i fix this #3 [internal] load metadata for docker.io/livekit/agents:latest #3 ERROR: pull access denied, repository does not exist or may require authorization: server message: insufficient_scope: authorization failed ------ > [internal] load metadata for docker.io/livekit/agents:latest: ------ build failed for iad.ocir.io/axyci3pr8vxm/production-cloud-agents:p-3r6lk0k879u-ca-7 rf67er5xgjm-v20250920200519: failed to solve: livekit/agentslatest failed to resolve source metadata for docker.io/livekit/agents:latest: pull access denied, repository does not exist or may require authorization: server message: insufficient_scope: authorization failed The error indicates that the Docker build process couldn't pull the base image livekit/agents:latest from Docker Hub due to authorization issues. However, despite this Docker error, the deployment still completed successfully as shown by "Updated agent [CA_7RF67er5xGJm]" at the end.
t
Thanks for reaching out, Devin. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
It looks like the error is telling us that the Docker image
livekit/agents:latest
isn’t publicly available or might require you to log in first. Let’s work through this together: 1. Double-check the image name: Make sure the image name is exactly right. If you’re deploying agents, you might need to create your own image. 2. Build and push your agent image: You can use a Dockerfile to build your image and then push it to your container registry (like Docker Hub or ECR):
docker buildx build --platform linux/amd64 -t your-registry/your-agent:latest --push .
3. Log in if it’s a private registry: Before pulling the image, don’t forget to authenticate:
docker login your-registry-uri
4. Confirm image availability: If you were expecting
livekit/agents:latest
to be public, it’s a good idea to check the official LiveKit docs or repositories to see if it’s available. If you’d like, I’m here to help you step-by-step with building or deploying your agent. Just let me know! Sources: magefile.go | cmd/lk/agent.go | aws-ecs/README.md
e
I have never had to push a container registry to lk deploy agent before is that normal?
t
Whether you need to push a container registry really depends on your deployment environment, and I’m here to help you navigate that: • Self-hosted or third-party platforms (e.g., AWS ECS, Kubernetes): It’s completely normal to push your agent image to a container registry as part of your deployment process. For instance, with AWS ECS, you’d build and push the image to a registry like Amazon ECR. • LiveKit Cloud Agents: If you’re using LiveKit’s managed cloud agents, the great news is that the platform takes care of building the container image and pushing it to the registry automatically when you run
lk agent deploy
. If you’re using LiveKit Cloud Agents and still running into this issue, please don’t hesitate to reach out—I’m here to help you get it sorted! Sources: aws-ecs/README.md | Deploying to production | LiveKit Docs
e
The agent isn't answering calls because it's in "Build Failed" status due to the Docker image access issue. The livekit/agents:latest image appears to be private/unavailable, but despite this, the deployment process claims to update the agent. How do I get access to livekit agents latest?
t
Hi there! I wanted to let you know that the Docker image
livekit/agents:latest
isn’t publicly available. But don’t worry—LiveKit provides example Dockerfiles and helpful deployment guidance so you can easily build and deploy your own agent containers. Here’s a simple way to get started: 1. Build your own agent image: You can use the Dockerfile templates for Node.js or Python that we provide to create your container. For example:
docker build -t your-agent-image:latest .
2. Push the image to your registry: Once built, just push your image to a container registry like Docker Hub or Amazon ECR. 3. Deploy the agent: Then, deploy your agent using your favorite platform, such as Kubernetes or AWS ECS, with the image you created. If you’re interested in pre-built agent images or a managed deployment option, LiveKit Cloud offers Cloud Agents (beta). You can easily sign up for access here. Please feel free to reach out if you’d like a hand with any of these steps—I’m here to help! Sources: README.md | Deploy to a VM | LiveKit Docs | pkg/agentfs/examples/python.uv.Dockerfile
e
do i need a docker image when lk agent deploy
t
When you use
lk agent deploy
, there’s no need to manually build or provide a Docker image yourself. All you need is a Dockerfile in your project, and the LiveKit CLI will take care of building the container image for you during deployment on the LiveKit Cloud build service. If you don’t already have a Dockerfile, no worries! The CLI can generate one for you when you run the
lk agent create
command. Please feel free to reach out if you’d like a hand setting up your Dockerfile or deploying your agent—I’m here to help! Sources: Deploying to production | LiveKit Docs | Builds and Dockerfiles | LiveKit Docs | Agent deployment CLI reference | LiveKit Docs