Google Vertex AI (generative AI)
Vertex AI errors and fixes
11 Vertex AI errors from the official error docs, grouped by HTTP status, each with what it means, why it happens, the documented fix and whether to retry. Verified .
- Official error docsdocs.cloud.google.com
- Status pagestatus.cloud.google.com
- Vertex AI rate limits
HTTP 400 Bad Request
HTTP 401 Unauthorized
HTTP 403 Forbidden
HTTP 404 Not Found
HTTP 429 Too Many Requests
429 RESOURCE_EXHAUSTEDThe number of requests exceeds the capacity allocated to process them. Depending on the error message, it is caused by API quota, shared server capacity, or the daily limit for logprobs requests.Retry? Yes429 Resource exhausted, please try again laterThe 429 message returned on the pay-as-you-go quota framework when no reserved capacity is available. Such requests are not counted against your SLA error rate.Retry? Yes429 Too many requests. Exceeded the Provisioned ThroughputThe 429 message returned on the Provisioned Throughput quota framework when requests exceed the reserved capacity. Frequent errors usually mean you have exceeded your purchased capacity, so retries alone may not solve it.Retry? Not stated
HTTP 499
HTTP 500 Internal Server Error
HTTP 503 Service Unavailable
HTTP 504 Gateway Timeout
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