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TLDR

If the GEMINI_API_KEY env var is set to empty string and Vertex AI env vars are set, then the GoogleGenAI client is initialized with {"apiKey":"","vertexai":true} which fails to use Vertex AI.

[API Error: {"error":{"code":401,"message":"Request is missing required authentication credential. Expected OAuth 2 access token, login cookie or other valid authentication credential. See https://developers.google.com/identity/sign-in/web/devconsole-project.","status":"UNAUTHENTICATED","details":[{"@type":"type.googleapis.com/google.rpc.DebugInfo","detail":"Request is missing required authentication credential. Expected OAuth 2 access token, login cookie or other valid authentication credential. See https://developers.google.com/identity/sign-in/web/devconsole-project."},{"@type":"type.googleapis.com/google.rpc.ErrorInfo","reason":"CREDENTIALS_MISSING","domain":"googleapis.com","metadata":{"method":"google.cloud.aiplatform.v1beta1.PredictionService.CountTokens","service":"aiplatform.googleapis.com"}}]}}]

This is causing failures for Github Action runtimes.

Will submit a fix upstream, but handling it here directly.

Fixes: #5747

@gsquared94 gsquared94 requested a review from a team as a code owner August 27, 2025 10:58
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Summary of Changes

Hello @gsquared94, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request resolves an issue where the GoogleGenAI client fails to authenticate when the GEMINI_API_KEY environment variable is set to an empty string, even if Vertex AI environment variables are correctly configured. The change ensures that if GEMINI_API_KEY is an empty string, it is unset, allowing the client to properly utilize Vertex AI credentials for authentication. This fix is crucial for preventing authentication failures in automated environments like GitHub Actions.

Highlights

  • Environment Variable Handling: Implemented a check to explicitly unset the GEMINI_API_KEY environment variable if its value is an empty string. This prevents authentication errors when the GoogleGenAI client attempts to use an empty API key instead of relying on Vertex AI credentials, which was causing failures in GitHub Action runtimes.
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@gsquared94 gsquared94 enabled auto-merge August 27, 2025 10:59
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Code Review

This pull request addresses a critical issue where an empty GEMINI_API_KEY environment variable interferes with Vertex AI authentication. The proposed fix correctly unsets the variable to resolve this. My feedback includes a suggestion to make this fix more robust by handling cases where the API key might contain only whitespace, as this could lead to the same authentication problem.

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thanks for this fix @gsquared94!

@gsquared94 gsquared94 requested a review from jerop August 27, 2025 12:50
@gsquared94 gsquared94 added this pull request to the merge queue Aug 27, 2025
Merged via the queue into google-gemini:main with commit 83a40ff Aug 27, 2025
18 checks passed
@gsquared94 gsquared94 deleted the fix-5747 branch August 27, 2025 13:30
davideast pushed a commit to davideast/gemini-cli that referenced this pull request Sep 2, 2025
acoliver referenced this pull request in vybestack/llxprt-code Sep 11, 2025
involvex pushed a commit to involvex/gemini-cli that referenced this pull request Sep 11, 2025
reconsumeralization pushed a commit to reconsumeralization/gemini-cli that referenced this pull request Sep 19, 2025
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Empty API Key Handling and Input Validation Issue

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