How to Resolve the Issue

• Refine Your Request Prompt – Adjust the wording of your prompt so that it clearly asks for safe, specific, and context-aware completions. Sometimes even a small change in phrasing can help meet the guidelines enforced by the API.
• Leverage System Instructions – When constructing your request, include a strong system message that guides the AI to behave appropriately. For example, specify that the assistant must avoid sensitive topics, and provide explicit context to ensure the reply stays within acceptable boundaries.
• Use Alternative Phrasings – Instead of asking for information that might be flagged, rephrase the prompt to emphasize safety and clarity. This approach helps the AI understand that it should restrict sensitive content.
• Implement Retry Logic – Incorporate a process in your code that catches the error indicating a safety block, then modifies the request (by further refining the prompt or adding extra clarification) and retries. This means automatically handling the situation so your application doesn’t fail abruptly.
• Adjust Temperature and Max Tokens – In certain cases, lowering the temperature (which controls randomness) and limiting max tokens (which controls the length) can reduce the chance that the response drifts into areas flagged by the safety system.

Example Code Implementation

Set your OpenAI API key

openai.api_key = 'YOUR_API_KEY'

def get_safe_completion(user_prompt):
try:
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "system", "content": "You are a friendly assistant that provides safe, clear, and context-aware responses."},
{"role": "user", "content": user_prompt}
],
temperature=0.5, // Lower temperature for more controlled responses
max_tokens=400 // Ensure response is concise
)
return response
except openai.error.InvalidRequestError as e:
# If request is blocked by safety system, modify the prompt and retry
# This second prompt adds further clarification to ensure safety
safe_prompt = f"{user_prompt} Please ensure that your response avoids any sensitive topics."
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "system", "content": "You are a friendly assistant that provides safe, clear, and context-aware responses."},
{"role": "user", "content": safe_prompt}
],
temperature=0.5,
max_tokens=400
)
return response

Example usage:

user_request = "Please provide detailed guidance on a technical topic." // Replace with your actual prompt
result = get_safe_completion(user_request)
print(result)

 
<h3>Additional Tips</h3>
&nbsp;
<ul>
  <li><strong>Provide Context Explicitly</strong> – If your request involves specialized topics, include enough context in your prompt. This helps the AI understand exactly what is expected.</li>
  <li><strong>Test Different Phrasings</strong> – Experiment with slight modifications to your prompt. Sometimes testing two or three versions can reveal one that avoids triggering the safety system.</li>
  <li><strong>Monitor and Log Responses</strong> – Keep a log of prompts that result in safety errors. Over time, you can analyze these prompts and develop a list of adjustments to avoid similar issues.</li>
  <li><strong>Stay Informed</strong> – OpenAI occasionally updates the models and their safety features. Regularly reviewing the latest developer notes can provide insights on how best to formulate requests.</li>
</ul>
&nbsp;