What this error means
codebase_investigator agent fails schema validation — quota consumed in loop without launching agent is a Gemini CLI failure pattern reported for developers trying to fix gemini cli codebase_investigator agent schema validation failure and quota waste loop. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Gemini CLI v0.25.2: delegating tasks to codebase_investigator agent repeatedly fails schema validation. CLI consumes quota in a loop without successfully launching the agent.
Common causes
- Gemini CLI is Google's free AI coding tool. Agent delegation failures consume quota in a retry loop without producing results — wasting API quota and blocking development.
- Gemini CLI v0.25.2: delegating tasks to codebase_investigator agent repeatedly fails schema validation. CLI consumes quota in a loop without successfully launching the agent.
Quick fixes
- Confirm the exact error signature matches
codebase_investigator agent fails schema validation — quota consumed in loop without launching agent. - Check the Gemini CLI account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.