Skip to content

Troubleshooting

Problems new engineers hit most often, with the fix for each. Most are covered by M0 · Preflight.

Sign-in and permissions

Symptom Cause Fix
DefaultAzureCredential failed to retrieve a token / CredentialUnavailableError Not signed in, or the token expired az login, then restart the notebook kernel
ManagedIdentityCredential: Access is denied (or a token for the wrong identity) on a lab Azure VM / Arc-enabled machine DefaultAzureCredential tries the machine's managed identity before your az login Set AZURE_TOKEN_CREDENTIALS=dev (user environment variable, or add it to .env), then restart VS Code. It limits local auth to developer credentials; hosted agents are unaffected
azd: You must be logged into Azure / AzureDeveloperCLICredential error azd isn't reusing the CLI login azd config set auth.useAzCliAuth true then azd auth login --check-status
401 PermissionDenied … lacks the required data action calling a model Your user is missing Foundry User Re-run scripts/provision (assigns roles), wait ~5 min for propagation
403 on azd deploy Missing Foundry Project Manager on the project As above
Hosted agent answers, but its tool fails with 403 on AI Search The agent identity lacks a Search role Run the role-assignment cell in M4 again, wait 2–5 min
Wrong subscription az default subscription differs from .env az account set --subscription <id>

Local agent (azd ai agent run)

Symptom Fix
Local agent not ready after … The first start installs dependencies (1–3 min). Check .work/<lab>/<agent>/local-run.log for the real error
Address already in use / old answers from a previous lab A previous host is still bound to the port. agent.stop_local() frees it; or re-run the cell, since run_local() kills anything on its port first
ModuleNotFoundError in the local run Add the package to that agent's requirements.txt, then re-run init_agent(...) (it syncs sources) and run_local()
KeyError: 'FOUNDRY_PROJECT_ENDPOINT' Run through init_agent / azd ai agent run (azd injects it), not python main.py directly

Deploy (azd deploy)

Symptom Fix
Deploy seems stuck on packaging A .venv is being uploaded. Make sure src/<agent>/.agentignore exists (every lab ships one)
Version status failed agent.monitor() (or azd ai agent monitor) shows container logs. Usually a missing dependency or a typo in requirements.txt
failed to initialize project … pathspec '*' did not match init was run inside a git-ignored folder. Use init_agent() (it prepares .work/ correctly)
First call after deploy takes ~10 s Normal cold start of a new session sandbox

Models and quota

Symptom Fix
DeploymentNotFound The deployment name in .env doesn't exist. Check the portal → Models + endpoints
429 Too Many Requests Tokens-per-minute quota hit. Wait a minute, or raise capacity on the deployment
Provisioning fails with InsufficientQuota Re-run scripts/provision with a lower capacity (the script retries once automatically) or pick another region with -Location swedencentral

Windows specifics

Symptom Fix
running scripts is disabled on this system Set-ExecutionPolicy -Scope CurrentUser RemoteSigned
az/azd not found right after installing Close and reopen the terminal and VS Code (PATH refresh)
UnicodeEncodeError: 'charmap' codec in a script Use Windows Terminal / PowerShell 7, or set PYTHONUTF8=1
Notebook can't find the kernel uv run python -m ipykernel install --user --name foundry-langgraph-workshop --display-name "Foundry LangGraph Workshop" and pick it in VS Code

Still stuck?

  1. Re-run M0 · Preflight; it pinpoints most issues.
  2. Look at the full error in the notebook output (scroll up past the last line).
  3. For a hosted agent: agent.show() and agent.monitor().