Overview

DS2API is a powerful, full-stack middleware tool that transforms the DeepSeek Web conversation capabilities into a universally compatible API. Built with a lightweight, high-performance Go backend and a React WebUI management console, DS2API offers seamless integration with various LLM API formats, including OpenAI, Claude, and Gemini. It supports multi-account polling, robust deployment options (binary, Vercel Serverless, Docker), and advanced features like PoW calculation and sophisticated tool call handling.

Key Features

• Universal API Compatibility: Seamlessly translates DeepSeek's capabilities to OpenAI, Claude, and Gemini API formats.
• High Performance & Lightweight: Entirely written in Go for maximum efficiency without external dependencies like Python runtimes.
• Multi-Account & Round-Robin: Manages multiple DeepSeek accounts with intelligent round-robin rotation and automatic token refresh for uninterrupted service.
• Advanced Tool Calling: Robust handling of tool calls with features like leak prevention, early delta signaling, and structured incremental output, compatible with various LLM paradigms.
• Flexible Deployment: Supports standalone binary execution, Docker containers, Vercel Serverless functions, and local source code operation.
• WebUI Management Console: An intuitive React-based admin interface for configuration, runtime settings hot-reloading, account management, session clearing, and more.
• DeepSeek PoW Implementation: Pure Go, millisecond-level efficient implementation of DeepSeek's Proof-of-Work mechanism.
• Concurrency Control: Fine-grained control over concurrent requests with account-specific in-flight limits and waiting queues to prevent 429 errors.
• Runtime Hot-Swapping: Dynamic configuration updates via the Admin API without service restarts.

Typical Use Cases

• Integrating DeepSeek into Existing LLM Applications: Easily connect existing applications built for OpenAI, Claude, or Gemini APIs to leverage DeepSeek's advanced models.
• Building Custom LLM Gateways: Create a centralized and managed API layer for accessing DeepSeek, abstracting away account management and API complexities.
• Developing Serverless LLM Solutions: Deploy efficiently on platforms like Vercel for scalable and cost-effective LLM-powered features.
• Local Development & Experimentation: Run locally or within Docker for rapid prototyping and testing of DeepSeek models with familiar API structures.
• Managing Multiple DeepSeek Accounts: Streamline the use of multiple DeepSeek accounts for load balancing, redundancy, and accessing different model tiers.