500 error with Vertex AI Gemini Chat completion.

Google Cloud Build with AI Custom ML & MLOps
,
1

I’m experiencing an issue using the Vertex AI with Gemini for chat completions. At random moments the api returns a 500 error with very little details. This causes that sometimes streaming responses are interrupted. This is the error the API returns:

GoogleGenerativeAIError: [VertexAI.GoogleGenerativeAIError]: Failed to parse final chunk of stream:
{
  "error":
  {
    "code": 500,
    "message": "Internal error encountered.",
    "status": "INTERNAL"
  }
}

I’m using a fine tuned model if that helps.

2

Hi @rolurq,

Welcome to Google Cloud Community!

The 500 internal error messages are likely caused by either server overload or a dependency failure.

Here are workarounds you can try that possibly address the issue:

  • Retry the request - Wait for a few seconds before retrying can be effective because it allows the server to recover from temporary issues.
  • Check for Dependencies - Make sure that all dependencies are correctly installed and up-to-date.
  • Check Input Size - Ensure that your input context or prompt isn’t too large. Try reducing the size and see if it works.
  • Switch Models - If possible, temporarily switch to another model and see if the issue persists.

If the issue persists, I suggest contacting Google Cloud Support as they can provide more insights to see if the behavior you’ve encountered is a known issue or specific to your project.

Was this helpful? If so, please accept this answer as “Solution”. If you need additional assistance, reply here within 2 business days and I’ll be happy to help.