---
title: "What are the practical limits of using the OpenAI SDK with DeepSeek reasoning models?"  
description: "What are the practical limits of using the OpenAI SDK with DeepSeek reasoning models?"  
author: "Natalia Volkova"  
published: 2026-10-21  
updated: 2026-10-21  
canonical: https://www.mindstick.com/forum/162724/what-are-the-practical-limits-of-using-the-openai-sdk-with-deepseek-reasoning-models  
category: "DeepSeek API Integration"  
tags: ["DeepSeek", "OpenAI SDK", "API Integration", "LLMs"]  
reading_time: 1 minute  

---

# What are the practical limits of using the OpenAI SDK with DeepSeek reasoning models?

I’m considering using an **OpenAI-compatible SDK** to make requests to DeepSeek, but I’m not sure how far that compatibility goes once I use a **[reasoning model](https://www.mindstick.com/news/4393/amazon-set-to-launch-new-ai-reasoning-model-in-june-report)**. I’d rather find the rough edges before building a client around assumptions that only hold for standard chat completions.

Which request parameters, streaming behaviors, or response fields have you had to change when switching between providers? I’m particularly curious about gotchas that don’t show up in a basic “send a prompt, get text back” test.


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Original Source: https://www.mindstick.com/forum/162724/what-are-the-practical-limits-of-using-the-openai-sdk-with-deepseek-reasoning-models

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