Step-by-step guide to setting up the DeepSeek API in both Python and TypeScript projects, with examples for chat completion, streaming, function calling, and JSON mode.
Learn how to integrate the DeepSeek API into your applications. This guide covers API key setup, installing the OpenAI-compatible SDK, making your first chat completion request, implementing streaming responses, using function calling for tool use, and enabling JSON mode for structured output. Includes complete code examples in both Python and TypeScript.
I Tested 10 AI Coding Models On Real Work: Here's What Happened look, I gotta be honest with you. I...
How to access DeepSeek models through OpenRouter, Together AI, Fireworks AI, and other third-party providers with pricing comparison and integration examples.
Using DeepSeek R1's reasoning for solving Mathematical Olympiad problems: number theory, combinatorics, geometry, and algebra with detailed step-by-step solutions.
How to use DeepSeek V3 for producing high-quality, SEO-optimized content: blog posts, landing pages, product descriptions, meta tags, and content clustering strategies.
Complete guide to building autonomous AI agents using DeepSeek's function calling API, including tool definition, multi-step reasoning, error recovery, and agent evaluation.
How to use DeepSeek R1's reasoning for competitive programming: solving algorithmic challenges, optimizing solutions, analyzing time complexity, and preparing for coding interviews.
Workflows from the Neura Market marketplace related to this DeepSeek resource