chsengni/deepseek_proxy — explained in plain English
Analysis updated 2026-05-18
Run a local reverse proxy in front of DeepSeek as a learning exercise
Try switching the proxy's backend provider to ollama in the terminal interface
| chsengni/deepseek_proxy | 0xhassaan/nn-from-scratch | 3ks/embedoc | |
|---|---|---|---|
| Stars | 0 | 0 | — |
| Language | Python | Python | Python |
| Last pushed | — | — | 2023-06-08 |
| Maintenance | — | — | Dormant |
| Setup difficulty | easy | moderate | hard |
| Complexity | 2/5 | 4/5 | 1/5 |
| Audience | vibe coder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
README is sparse and mostly screenshots, so setup beyond running main.py and deepseek.py is undocumented.
Deepseek_proxy is a small Python project described by its author as a reverse proxy for DeepSeek, built purely for learning purposes rather than production use. DeepSeek is a Chinese AI company known for large language models, and a reverse proxy in this context sits between a client and DeepSeek, so requests can be intercepted, redirected, or handled differently before reaching the real service. The README is very short and mostly consists of screenshots rather than detailed written instructions. From what is shown, you start the service by running the file called main.py, and then run a separate file called deepseek.py to open an interactive terminal interface. Inside that terminal interface there is a command called /provider that lets you choose which backend the proxy should actually talk to, and one of the screenshots shows ollama, a tool for running AI models locally, being selected as the provider. Beyond running these two Python files and using the /provider command inside the terminal interface, the README does not explain installation steps, configuration options, dependencies, authentication, or what other providers besides ollama might be supported. There is no license information included anywhere in the project. This makes the project best suited for someone who wants to poke around a small, informal proxy setup as a personal learning exercise, rather than for anyone looking for a documented or production ready tool. Given the label the author chose for it, it should be treated as an experimental, personal project rather than something meant for others to build on or depend on.
A small, sparsely documented Python reverse proxy for DeepSeek, built by its author purely as a learning exercise.
Mainly Python. The stack also includes Python, Ollama.
The README does not state a license.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.