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Reverse engineered Deepseek chat into an OpenAI compatible API. Access V4 and R1 models through a simple REST interface without API keys or billing.
Reverse engineered Deepseek chat into an OpenAI compatible API. Access V4 and R1 models through a simple REST interface without API keys or billing.
# DeepSeek API: a free LLM API powered by DeepSeek **Using your own DeepSeek account.** No API key, no credits, no paid plan: it turns the free chat at [chat.deepseek.com](https://chat.deepseek.com) into an API you can call from code. You can use it in two ways: - ๐ **As a Python library:** just call `client.chat("Hi")`. Supports streaming and multi-turn conversations. - ๐ **As a local OpenAI-compatible API:** runs a server at `http://localhost:8000/v1` that speaks the OpenAI format, so the official `openai` SDK (and any OpenAI-compatible app) works as a drop-in, with `localhost` in place of OpenAI. You sign in once in a browser with your DeepSeek account; your session is saved and refreshed automatically after that. > **Unofficial project.** Not affiliated with or endorsed by DeepSeek. It automates the consumer DeepSeek web experience for personal use, so use it responsibly and within DeepSeek's terms. --- ## Table of contents - [Why use this?](#why-use-this) - [Requirements](#requirements) - [Setup (2 minutes)](#setup-2-minutes) - [Usage 1: In Python (no server)](#usage-1-in-python-no-server) - [Usage 2: As an OpenAI-compatible server](#usage-2-as-an-openai-compatible-server) - [Run with Docker (optional)](#run-with-docker-optional) - [Command line](#command-line) - [Human-check & proof-of-work (automatic)](#human-check--proof-of-work-automatic) - [Models, DeepThink & web search](#models-deepthink--web-search) - [Concurrency](#concurrency) - [Rate limiting](#rate-limiting) - [Project layout](#project-layout) - [Notes & limitations](#notes--limitations) - [License](#license) --- ## Why use this? - **Free:** uses your normal signed-in DeepSeek account, no API billing. - **Drop-in OpenAI replacement:** point any OpenAI client at `localhost` and it just works
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