‘Veo 3.1 Complete Error Code Guide: Analysis and Solutions for Common Errors

Got a PUBLIC_ERROR_MINOR or other error codes when generating videos with Veo 3.1? This is a common frustration many developers face when calling Google's video generation API. This article will systematically cover all common error types in Veo 3.1, including safety filter codes, resource limitation errors, and policy violation prompts, helping you quickly pinpoint issues and find solutions.

Core Value: After reading this article, you'll master the meaning and handling methods of various Veo 3.1 error codes, enabling you to efficiently troubleshoot video generation failures.

Veo 3.1 Error Code Essentials

Error Type	Error Code/Status	Cause	Solution
General Errors	PUBLIC_ERROR_MINOR	Internal processing exception	Wait and retry or simplify request
Resource Limits	429 RESOURCE_EXHAUSTED	Too many requests/quota exhausted	Reduce frequency or wait for quota reset
Safety Filters	Support Code (8-digit number)	Content triggered safety policy	Modify prompt to avoid sensitive content
Permission Errors	403 Forbidden	API not enabled or insufficient permissions	Check project configuration and API enablement

Understanding PUBLIC_ERROR_MINOR

PUBLIC_ERROR_MINOR is a generic error type in Veo 3.1, typically indicating:

Server-side internal processing exception – The model encountered an issue during generation
Audio processing failure – Veo 3.1 failed while processing video audio
Temporary resource unavailability – GPU memory shortage or service overload

Recommended Actions:

Wait 5-10 minutes before retrying
Simplify your prompt to reduce generation complexity
Avoid peak hours (9-11 AM, 1-3 PM, 7-9 PM PST)

Veo 3.1 Safety Filter Code Breakdown

When video generation gets blocked by safety filters, you'll see an error message like this:

Veo could not generate videos because the input image violates
Vertex AI's usage guidelines. Support codes: 15236754

Complete Support Code Reference Table

Support Code	Category	Description
58061214, 17301594	Child	Child-related content, requires `personGeneration=allow_all`
29310472, 15236754	Celebrity	Realistic celebrity likeness, requires project whitelist authorization
64151117, 42237218	Video Safety	Video content violates safety standards
90789179, 43188360	Sexual	Sexual content
61493863, 56562880	Violence	Violence-related content
62263041	Dangerous	Potentially dangerous content
57734940, 22137204	Hate	Hate-related content
78610348	Toxic	Toxic/malicious content
32635315	Vulgar	Vulgar content
92201652	PII	Personally Identifiable Information (credit card numbers, addresses, etc.)
74803281, 29578790, 42876398	Other	Other safety issues
89371032, 49114662, 63429089, 72817394	Prohibited	Policy violations

Common HTTP Error Codes

429 RESOURCE_EXHAUSTED

This is one of the most common errors, indicating too many requests or quota exhaustion.

Triggered by:

Single user request rate too high
System-level request limits
Daily quota depleted

Solution:

import time

def generate_with_retry(prompt, max_retries=3):
    for i in range(max_retries):
        try:
            # Call Veo API
            response = veo_generate(prompt)
            return response
        except ResourceExhaustedError:
            wait_time = (2 ** i) * 10  # Exponential backoff
            print(f"Quota limit hit, waiting {wait_time} seconds...")
            time.sleep(wait_time)
    raise Exception("Max retries exhausted")

403 Forbidden

Common causes:

Generative Language API not enabled in your project
Project not added to necessary allowlist
Invalid authentication credentials

Resolution steps:

Enable Generative Language API in Google Cloud Console
Check if your project has Veo API access
Verify your API Key or service account credentials

Other Common Errors

"Something Went Wrong" Generic Error

This is a catch-all error that can stem from various underlying issues. Possible causes:

Cause Category	Description	Occurrence Probability
Server Overload	Capacity exceeded by 300-400% during peak hours	Most Common
Insufficient GPU Resources	Complex requests consuming 95% of GPU memory	Common
Security System False Positives	Normal words triggering content filters	Common
Network Issues	Connection timeouts, DNS problems	Less Common

Words that easily trigger false positives:

"fire" (may be interpreted as shooting)
"shot" (may be interpreted as shooting)
"strike" (may be interpreted as attack)
"execution" (may be interpreted as killing)

"This generation might violate our policies"

Policy violation warning, but it's often a false positive. How to handle:

Rephrase your prompt – Avoid ambiguous expressions
Remove specific phrases – Delete potentially sensitive descriptions
Generate in steps – Start with a simple version, then gradually add details

Veo 3.1 Error Handling Best Practices

Code Example: Complete Error Handling

import time
from enum import Enum

class VeoErrorType(Enum):
    RESOURCE_EXHAUSTED = "429"
    FORBIDDEN = "403"
    SAFETY_FILTER = "safety"
    PUBLIC_ERROR_MINOR = "public_error_minor"
    UNKNOWN = "unknown"

def handle_veo_error(error_response):
    """Handle Veo 3.1 errors"""

    error_code = error_response.get("code", "")
    error_message = error_response.get("message", "")
    support_code = extract_support_code(error_message)

    if "429" in str(error_code):
        return VeoErrorType.RESOURCE_EXHAUSTED, "Too many requests, wait and retry"

    if "403" in str(error_code):
        return VeoErrorType.FORBIDDEN, "Insufficient permissions, check API config"

    if support_code:
        category = get_safety_category(support_code)
        return VeoErrorType.SAFETY_FILTER, f"Safety filter: {category}"

    if "PUBLIC_ERROR_MINOR" in error_message:
        return VeoErrorType.PUBLIC_ERROR_MINOR, "Internal processing error, simplify request and retry"

    return VeoErrorType.UNKNOWN, error_message

# Safety filter code mapping
SAFETY_CODES = {
    "58061214": "Child", "17301594": "Child",
    "29310472": "Celebrity", "15236754": "Celebrity",
    "90789179": "Sexual", "43188360": "Sexual",
    "61493863": "Violence", "56562880": "Violence",
    "62263041": "Dangerous",
    # ... more codes
}

Tip: Call Veo 3.1 through APIYI (apiyi.com) – the platform provides stable API proxy services that can bypass some official limitations and improve generation success rates.

FAQ

Q1: How do I fix the PUBLIC_ERROR_MINOR error?

This is a generic error indicating an internal processing exception. Here's what you can try:

Wait 5-10 minutes and retry
Simplify your prompt to reduce complexity
Avoid peak usage times
If it persists, consider using an API relay service

Q2: Why do normal prompts trigger safety filters?

Veo 3.1's safety filters can be overly sensitive at times, leading to false positives. Common trigger words include "fire", "shot", "strike", etc. The workaround is to use alternative phrasing – for example, change "fire in the fireplace" to "burning logs in the hearth".

Q3: How can I see detailed error reasons?

Enable the includeRaiReason: true parameter in your API request to get more detailed safety filter reasons. The returned Support Code can be cross-referenced with the tables in this article to identify the specific category.

Summary

Here are the key takeaways about Veo 3.1 error codes:

PUBLIC_ERROR_MINOR: Generic internal error – waiting and retrying or simplifying your request usually resolves it
Support Code (8-digit number): Safety filter code – check the tables to understand why content was blocked
429 RESOURCE_EXHAUSTED: Rate limiting – use exponential backoff for retries
Best Practices: Avoid peak hours, use concise prompts, implement retry mechanisms

If you're experiencing persistent errors, you might want to consider using Veo 3.1 through APIYI apiyi.com, which offers a more stable calling experience and professional technical support.

References

⚠️ Link Format Note: All external links use the Resource Name: domain.com format for easy copying but aren't clickable, helping avoid SEO weight loss.

Veo on Vertex AI Official Documentation: Google Cloud's official API reference docs
- Link: docs.cloud.google.com/vertex-ai/generative-ai/docs/model-reference/veo-video-generation
- Note: Check out the complete API parameters and response formats
Veo Responsible AI Guide: Safety filters and usage guidelines
- Link: docs.cloud.google.com/vertex-ai/generative-ai/docs/video/responsible-ai-and-usage-guidelines
- Note: Learn about the complete list of safety filter codes
Veo 3.1 Common Error Troubleshooting: Community-curated error handling guide
- Link: skywork.ai/blog/llm/veo-3-1-troubleshooting-common-errors-2
- Note: More hands-on experience and solutions

Author: Tech Team
Tech Discussion: Feel free to discuss in the comments. For more resources, visit the API Yi apiyi.com tech community