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what is chat_forge fr?

yuvraj0028/chat_forge — explained in plain English

Analysis updated 2026-05-18

0PythonAudience · developer

tl;dr

A self hosted Django chatbot platform where you create AI agents with custom prompts and uploaded files, powered by Groq.

vibe map

mindmap
  root((ChatForge))
    What it does
      Hosts custom AI agents
      Uses uploaded files as context
      Chats via Groq API
    Tech stack
      Django
      DRF
      Groq API
      JWT auth
    Use cases
      Private chatbot
      Multi project agents
      Learning Django backend patterns
    Audience
      Developers
      Self hosters

Code map

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what do people make with this?

VIBE 1

Run a private chatbot backed by your own uploaded documents.

VIBE 2

Create multiple AI agents with different system prompts for different projects.

VIBE 3

Learn how to structure a production style Django backend with rate limiting and a circuit breaker.

VIBE 4

Prototype a customer support or internal knowledge chatbot without a hosted vendor.

what's the stack?

PythonDjangoDjango REST FrameworkGroq APISQLiteJWT

how it stacks up fr

yuvraj0028/chat_forge0xallam/my-recipe0xhassaan/nn-from-scratch
Stars00
LanguagePythonPythonPython
Last pushed2022-11-22
MaintenanceDormant
Setup difficultymoderatemoderate
Complexity2/54/5
Audiencedevelopergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

in plain english

ChatForge is a self hosted chatbot platform built with Django on the backend and Groq for AI responses. It lets you set up separate projects, each with its own AI agent, and give each agent a custom system prompt that shapes how it responds. You can also upload files such as PDFs, Word documents, Excel sheets, PowerPoint slides, and various code or text files, and the agent will read their contents and use them as context when chatting with you. Getting started involves cloning the project, installing Python dependencies, adding a free Groq API key to a settings file, running database migrations, and starting the built in development server. From there you register an account, create a project, add a system prompt, optionally upload some files, and start chatting through a simple web interface built with plain HTML, CSS, and JavaScript. Under the hood, incoming chat requests pass through a layered backend: request validation, then loading the relevant project, prompts, files, and recent conversation history, followed by a service layer that talks to the Groq API. That service layer includes a rate limiter to stay within Groq's free tier limits, a circuit breaker that stops sending requests if Groq starts failing repeatedly, and automatic retries with backoff. Only a limited window of the most recent messages is sent to the AI on each request, which keeps costs and response times predictable even in long conversations. The project also includes a full authentication system using JWT tokens, ownership checks so users can only access their own projects, request rate limiting, CORS controls, and security headers, along with production settings like HTTPS enforcement when debug mode is off. This project suits developers who want a working example of a small production style chatbot platform, or anyone who wants to run their own private AI chat tool backed by uploaded documents rather than relying on a hosted service.

prompts (copy fr)

prompt 1
Help me deploy this Django chatbot platform to production with proper environment settings.
prompt 2
Walk me through how the circuit breaker and retry logic protect this app from Groq API outages.
prompt 3
Show me how to add a new file type to the upload and context extraction pipeline.
prompt 4
Help me extend this platform to support a second LLM provider alongside Groq.

Frequently asked questions

what is chat_forge fr?

A self hosted Django chatbot platform where you create AI agents with custom prompts and uploaded files, powered by Groq.

What language is chat_forge written in?

Mainly Python. The stack also includes Python, Django, Django REST Framework.

Who is chat_forge for?

Mainly developer.

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