Ensuring Consistent Response Structure with Gemini API

Question

I'm building a project that leverages the Gemini API, but I'm facing an inconsistency issue. Every time I send the same prompt, the response structure changes, making backend processing difficult.

The desired behavior is to receive responses with a consistent structure, regardless of content variations. This structure should ideally include:

An introductory paragraph 3-4 paragraphs containing the main content A concluding paragraph However, subsequent requests with the same prompt sometimes lack the title or begin with different elements, disrupting my processing pipeline.

Could you advise on how to achieve consistent response structure from Gemini API, even when the content varies?

Pompey

Answer 1

You don't give the prompt you're using to generate the reply, but in general, Gemini is better at following examples rather than following instructions.

So your prompt should probably look something like:

You will be asked a question. Your reply should include a title, a 
descriptive paragraph, and a concluding paragraph as illustrated below.

Example question: What is the meaning of life?
Example reply:
Title: About life
Description: Life. Don't talk to me about life.
Conclusion: All the circuits down my left arm

Question: [put the question here]
Reply:

Sidoney

Answer 2

Every time I send the same prompt, the response structure changes, making backend processing difficult.

You will need to tune your prompt and keep tuning it until you get a more consistent response. There is no easy way to get 100% the same response from an LLM each time.

I have major issues when i try to have it parse the response to json even the json structure will change. Your code will need to handle these edge cases.

Playsuit

I think, For the ease i have write different prompts for each pattern one Prompt for generating intro part, another for paragraph and another for conclusion.this way i can easily handle the response. – Pompey

Answer 3

As shared in other threads, you will get more consistent result if you mention the structure you are expecting in response. Here is an example request to get some content sections for a website.

Take following json as an input, generate elements content based on prompts and prepare and return json structure by combining all elements such as: {'heading': '<value>'}.

We have a website for online store. Fill in the following 4 elements with homepage content for our website. Add a heading for featured section (appx 40 chars), and two paragraphs (each appx 120 chars each), and a button label. Replace <value> in plain text.

{
  "heading": "<value>",
  "paragraph_1": "<value>",
  "paragraph_2": "<value>",
  "button_label": "<value>"
}

The response should be like:

{
  "heading": "Discover Our Exclusive Featured Collection",
  "paragraph_1": "Explore the latest trends and timeless pieces in our featured collection. Handpicked to ensure the highest quality, each item is a testament to our commitment to excellence.",
  "paragraph_2": "From stylish apparel to must-have accessories, find everything you need to elevate your wardrobe. Enjoy exclusive offers and unbeatable prices, only available for a limited time.",
  "button_label": "Shop Now"
}

The AI response should be correct most of the time but not always. So ensure edge cases by matching number or elements, content or json validation in response. Hope this will help.

Moffatt