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

  1. Confirm the exact error signature matches codebase_investigator agent fails schema validation — quota consumed in loop without launching agent.
  2. Check the Gemini CLI account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. 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.