#C088ZNU7QQ5 trying to create agent on cloud but its trowing an error on 10th step => ERROR [10/10] RUN uv run "agent.py" download-files 0.2s ------ > [10/10] RUN uv run "agent.py" download-files: 0.160 error: Failed to query Python interpreter 0.160 Caused by: failed to canonicalize path `/app/.venv/bin/python3`: Permission denied (os error 13) ------ unable to create agent: build failed for bom.ocir.io/axyci3pr8vxm/production-cloud-agents:p-396gj4q8mak-ca-qi4rgnffakkw-v20260305133852: failed to solve: process "/bin/sh -c uv run \"agent.py\" download-files" did not complete successfully: exit code: 2

Thanks for reaching out, Divam. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

i did some changes, now its giving different error > [10/10] RUN uv run src/agent.py download-files: 0.257 error: Failed to spawn:

src/agent.py

0.257 Caused by: No such file or directory (os error 2) ------ unable to create agent: build failed for bom.ocir.io/axyci3pr8vxm/production-cloud-agents:p-396gj4q8mak-ca-osr2tckewavm-v20260305150101: failed to solve: process "/bin/sh -c uv run src/agent.py download-files" did not complete successfully: exit code: 2

Thanks — I can see you fixed the permission problem and now the build is failing with a “No such file or directory” when running

uv run src/agent.py download-files

. I’ll help you narrow this down and fix it. Why this is happening • The error means the file

src/agent.py

is not present at that path inside the container at the time the

uv run

command executes. This is usually caused by one of: ◦ The file was not copied into the image (missing or incorrect COPY/ADD). ◦ The build’s working directory is different from where the file was placed. ◦ A prior step changed or removed the file. ◦ The path is incorrect (e.g., the file is at

agent.py

or

./agent/agent.py

instead of

src/agent.py

). What to check right now (quick checklist) 1. Verify the Dockerfile copies the file into the image: ◦ Ensure there is a COPY or ADD that places

src/agent.py

(or the entire

src/

directory) into

/app

(or the image working directory) before the

uv run

step. 1. Confirm the working directory in the Dockerfile: ◦ If you use

WORKDIR /app

,

uv run src/agent.py

will look for

/app/src/agent.py

. Make sure those match. 1. Confirm file path and name locally: ◦ Ensure the file is named exactly

agent.py

and located under

src/

relative to your build context (the folder you pass to

docker build

). 1. Check build context: ◦ Files must be inside the build context. If your

src/

is outside the build context, Docker won’t see it. 1. Inspect Dockerfile stages: ◦ If you use multi-stage builds, verify the

src/agent.py

is present in the stage where you run

uv run

. A COPY in a previous stage does not automatically transfer to later stages unless you copy between stages. How to confirm inside the build quickly • Add a temporary debug step right before the failing command to list files and show current working dir:

RUN pwd && ls -la && ls -la src || true
  RUN uv run src/agent.py download-files

This will print where the build is looking and the directory contents so you can confirm whether

src/agent.py

exists. Suggested fixes (pick the one that fits your Dockerfile) • If you don’t currently copy

src/

into the image:

COPY src /app/src
  WORKDIR /app

• If the file lives at the repo root (not in

src/

) change the command:

RUN uv run agent.py download-files

• If using multi-stage builds, ensure you copy from the build stage that has the file into the final stage:

FROM builder AS build
  COPY . /src
  # build steps...

  FROM runtime
  COPY --from=build /src/src /app/src
  WORKDIR /app
  RUN uv run src/agent.py download-files

Two quick questions to help me give an exact patch: • Can you paste the Dockerfile lines that set WORKDIR and any COPY/ADD commands (or the whole Dockerfile if short)? • Where is

agent.py

located in your repo relative to the build context root? (e.g.,

./src/agent.py

or

./agent.py

) Share those and I’ll provide the exact change you should make to your Dockerfile.

so the build is successful now but in the livekit dashboard the status of agent is showing in an error

Thanks — I understand the build succeeds but the agent shows an error in the LiveKit dashboard. I’ll help you diagnose that. Below are the most effective checks and next steps to find the root cause, plus a couple of targeted questions so I can give a precise fix. What to check first (quick steps) 1. Stream the agent runtime logs • Run:

lk agent logs --id <your-agent-id>

or use the dashboard Logs tab for that agent. Look for stack traces, missing env var errors, or auth failures. 1. Inspect the dashboard Logs and Insights • In the LiveKit Cloud dashboard: Project → Agents → select the agent → Logs and Agent insights. • Check for errors shown at startup or during the first few seconds (common causes: missing secrets, unhandled exceptions in startup code). 1. Confirm required environment variables / secrets • Ensure any AI provider keys (OpenAI, Deepgram, etc.) and runtime secrets were provided when creating the agent. • If you changed secrets, restart the agent after updating them:

lk agent update-secrets --secrets KEY=VALUE
  lk agent restart --id <your-agent-id>

1. Check for unhandled exceptions in entrypoint • If

entrypoint()

raises, the process exits and the dashboard will mark the agent as errored. Add try/except around startup and log failures:

@entrypoint
  async def entrypoint(ctx):
      try:
          # setup
      except Exception as e:
          logger.error("Entrypoint failed", exc_info=True)
          raise

1. Check runtime file paths and permissions • Files and caches required at runtime must exist and be readable by the runtime user (e.g., model cache directories,

.venv

if referenced at runtime). If you changed ownership during the build, confirm the runtime user can access them. 1. Restart the agent after fixes • After applying fixes or updating secrets, restart:

lk agent restart --id <your-agent-id>

Diagnostic info I need from you • The output of

lk agent logs --id <your-agent-id>

(or paste the last 20–50 lines from the dashboard Logs tab). • Any error messages shown on the agent’s dashboard page (copy/paste exact text). • Whether you provided external provider keys as secrets during creation and if you recently changed them. • The agent ID (so I can reference exact commands in follow-ups). If you paste the relevant log lines or dashboard error text here, I’ll read them and give an exact, step-by-step fix. Sources: Where to find your Agent Logs | LiveKit | examples/drive-thru | livekit/livekit_composite | DeepWiki | Python Agents: Handling exceptions in your entrypoint | LiveKit