gemini-cli

Troubleshooting guide

This guide provides solutions to common issues and debugging tips, including topics on:

• Authentication or login errors
• Frequently asked questions (FAQs)
• Debugging tips
• Existing GitHub Issues similar to yours or creating new Issues

Authentication or login errors

• Error: Failed to login. Message: Request contains an invalid argument
  • Users with Google Workspace accounts or Google Cloud accounts associated with their Gmail accounts may not be able to activate the free tier of the Google Code Assist plan.
  • For Google Cloud accounts, you can work around this by setting GOOGLE_CLOUD_PROJECT to your project ID.
  • Alternatively, you can obtain the Gemini API key from Google AI Studio, which also includes a separate free tier.

Frequently asked questions (FAQs)

• Q: How do I update Gemini CLI to the latest version?
  • A: If you installed it globally via npm, update it using the command npm install -g @google/gemini-cli@latest. If you compiled it from source, pull the latest changes from the repository, and then rebuild using the command npm run build.
• Q: Where are the Gemini CLI configuration or settings files stored?
  • A: The Gemini CLI configuration is stored in two settings.json files:
    1. In your home directory: ~/.gemini/settings.json.
    2. In your project’s root directory: ./.gemini/settings.json.

    Refer to Gemini CLI Configuration for more details.

• Q: Why don’t I see cached token counts in my stats output?
  • A: Cached token information is only displayed when cached tokens are being used. This feature is available for API key users (Gemini API key or Google Cloud Vertex AI) but not for OAuth users (such as Google Personal/Enterprise accounts like Google Gmail or Google Workspace, respectively). This is because the Gemini Code Assist API does not support cached content creation. You can still view your total token usage using the /stats command in Gemini CLI.

Common error messages and solutions

• Error: EADDRINUSE (Address already in use) when starting an MCP server.
  • Cause: Another process is already using the port that the MCP server is trying to bind to.
  • Solution: Either stop the other process that is using the port or configure the MCP server to use a different port.
• Error: Command not found (when attempting to run Gemini CLI with gemini).
  • Cause: Gemini CLI is not correctly installed or it is not in your system’s PATH.
  • Solution: The update depends on how you installed Gemini CLI:
    • If you installed gemini globally, check that your npm global binary directory is in your PATH. You can update Gemini CLI using the command npm install -g @google/gemini-cli@latest.
    • If you are running gemini from source, ensure you are using the correct command to invoke it (e.g., node packages/cli/dist/index.js ...). To update Gemini CLI, pull the latest changes from the repository, and then rebuild using the command npm run build.
• Error: MODULE_NOT_FOUND or import errors.
  • Cause: Dependencies are not installed correctly, or the project hasn’t been built.
  • Solution:
    1. Run npm install to ensure all dependencies are present.
    2. Run npm run build to compile the project.
    3. Verify that the build completed successfully with npm run start.
• Error: “Operation not permitted”, “Permission denied”, or similar.
  • Cause: When sandboxing is enabled, Gemini CLI may attempt operations that are restricted by your sandbox configuration, such as writing outside the project directory or system temp directory.
  • Solution: Refer to the Configuration: Sandboxing documentation for more information, including how to customize your sandbox configuration.
• Gemini CLI is not running in interactive mode in “CI” environments
  • Issue: The Gemini CLI does not enter interactive mode (no prompt appears) if an environment variable starting with CI_ (e.g., CI_TOKEN) is set. This is because the is-in-ci package, used by the underlying UI framework, detects these variables and assumes a non-interactive CI environment.
  • Cause: The is-in-ci package checks for the presence of CI, CONTINUOUS_INTEGRATION, or any environment variable with a CI_ prefix. When any of these are found, it signals that the environment is non-interactive, which prevents the Gemini CLI from starting in its interactive mode.
  • Solution: If the CI_ prefixed variable is not needed for the CLI to function, you can temporarily unset it for the command. e.g., env -u CI_TOKEN gemini
• DEBUG mode not working from project .env file
  • Issue: Setting DEBUG=true in a project’s .env file doesn’t enable debug mode for gemini-cli.
  • Cause: The DEBUG and DEBUG_MODE variables are automatically excluded from project .env files to prevent interference with gemini-cli behavior.
  • Solution: Use a .gemini/.env file instead, or configure the excludedProjectEnvVars setting in your settings.json to exclude fewer variables.

Debugging Tips

• CLI debugging:
  • Use the --verbose flag (if available) with CLI commands for more detailed output.
  • Check the CLI logs, often found in a user-specific configuration or cache directory.
• Core debugging:
  • Check the server console output for error messages or stack traces.
  • Increase log verbosity if configurable.
  • Use Node.js debugging tools (e.g., node --inspect) if you need to step through server-side code.
• Tool issues:
  • If a specific tool is failing, try to isolate the issue by running the simplest possible version of the command or operation the tool performs.
  • For run_shell_command, check that the command works directly in your shell first.
  • For file system tools, verify that paths are correct and check the permissions.
• Pre-flight checks:
  • Always run npm run preflight before committing code. This can catch many common issues related to formatting, linting, and type errors.

Existing GitHub Issues similar to yours or creating new Issues

If you encounter an issue that was not covered here in this Troubleshooting guide, consider searching the Gemini CLI Issue tracker on GitHub. If you can’t find an issue similar to yours, consider creating a new GitHub Issue with a detailed description. Pull requests are also welcome!

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