Generation Failed
Recover from failed AI generation by checking credits, site access, secrets, and test instructions.
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Recover from failed AI generation by checking credits, site access, secrets, and test instructions.
AI generation runs as a cloud agent. It can fail because the agent cannot reach the target site, your workspace is out of credits, a referenced secret is missing, or the feature instructions do not give the agent enough context.
Open the failed generation in TestVibe.
Read the visible failure message and any completed sections.
Confirm the target site URL is correct and reachable.
Confirm your workspace has enough credits in Settings → Billing.
Confirm any {{secret:NAME}} or {{var:NAME}} tokens in the feature match entries in Settings → Variables & Secrets.
For private apps, confirm the project's tunnel device is online.
Insufficient credits
Check your balance in Settings → Billing and top up if needed.
Site unreachable
Confirm the URL; for private apps, check the tunnel device.
Secret token not found
Add the named entry in Settings → Variables & Secrets.
Login or test data missing
Add secrets and prerequisite steps.
Vague feature instructions
Improve the Gherkin scenario with visible actions and expected outcomes.
Agent or model misconfigured
Review the agent, model, and reasoning effort in Settings → AI Model.
Sometimes generation fails after producing useful notes, a feature draft, or a partial test file. Review the output before retrying. It may tell you exactly which selector, page, credential, or requirement was unclear.
Temporary network or environment issue
Retry after the environment is healthy.
Missing secret or credit
Fix setup, then regenerate.
Feature is too broad
Split it into smaller scenarios, then regenerate.
Test intent is unclear
Edit the Gherkin, then regenerate.
Generated code is close but wrong
Edit the test or refine instructions before regenerating.
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