Hi Irina Sopas,
Azure OpenAI Service doesn't provide built-in functionality to count or enforce exact word, line, or character limits in its responses. However, you can guide the model through smart prompt engineering to approximate your desired output. Structuring your prompts with clear expectations like listing numbers for words or lines can significantly improve control over the generated text. For instance, using a prompt like “Generate a text with 10 words: 1. 2. 3. …” creates a visual structure that the model tends to follow more reliably. Similarly, for line-based output, you can predefine a line format such as “Line 1: …” up to “Line N: …” to encourage adherence. Still, even with well-crafted prompts, there's no guarantee of exact results. This is where post-processing comes into play. After receiving the output, you can use simple Python scripts to trim the text to your required number of words, lines, or characters. Additionally, setting the max_tokens
parameter in the API call can help limit the response length roughly, since tokens loosely correspond to words and characters. Combining prompt structure, token limits, and post-processing gives you the best control over output size.
I hope this information helps. Thank you!