app Documentation

The SimpleLogin back-end and web app

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Docker & Self-Hosted Deployment Verified OCI

Deploy app on any server, homelab, or cloud container platform.

1-Click Terminal Command
bash (docker run)
docker run -d --name app -p 7777:7777 --restart always simple-login/app:latest

1. Project Overview & Quickstart (Kiln-AI/app)

app

The SimpleLogin back-end and web app

Repository Details

  • Repository: Kiln-AI/app
  • GitHub Stars: โญ 6,646
  • Primary Language: Python

Note: High-volume repository documentation is actively indexed and synchronized by YakaAI.

2. Official Technical Reference & Guides (Kiln-AI/docs)


icon: hand-wave

Welcome to Kiln AI

Kiln AI is the easiest tool for:

  • ๐ŸŽ›๏ธ Fine Tuning: Zero-code fine-tuning for Llama, GPT-4o, and more. Automatic serverless deployment of models.
  • ๐Ÿ“Š Evals: Evaluate the quality of your models/tasks using state of the art evaluators.
  • ๐Ÿ“ˆ Optimizers: Find the best model, prompt or fine-tune for your task. Improve quality and lower costs.
  • ๐Ÿ” Docs & Search (RAG): Add knowledge to your AI systems with Retrieval-Augmented Generation (RAG)
  • ๐Ÿค– Agents: Build agentic systems with multiple actors
  • ๐Ÿ›  Tools & MCP: Connect powerful tools to your Kiln tasks, or write your own in Python with Code Tools
  • ๐Ÿงฉ Skills: Load more instructions, depending on the goal.
  • ๐Ÿช„ Synthetic Data Generation: Generate training data with our interactive visual tooling.
  • ๐Ÿง  Reasoning Models: Train or distill your own custom reasoning models.
  • ๐Ÿค Team Collaboration: Git-based version control for your AI datasets. Intuitive UI makes it easy to collaborate with QA, PM, and subject matter experts on structured data (examples, prompts, ratings, feedback, issues, etc.).

Jump right in

Cover image
Quickstart Download our app, setup a task, and run AI models. quickstart.md App3.png
Automatic Prompt Optimizer Find the best possible prompt for your task. automatic-prompt-optimizer.md Prompts3.png
Models and AI Providers Manage which models you can use in Kiln. models-and-ai-providers.md providers3.png
Fine Tuning Our guide for fine tuning AI models fine-tuning-guide.md tuning2.png
Evals Evaluate the quality of your models/tasks evals-and-specs [Eval (1).png](.gitbook/assets/Eval (1).png)
Tools & MCP Connect tools to Kiln tools-and-mcp MCP.png
Code Tools Write a Python function that runs as a tool code-tools.md tools2.png
Search Tools / RAG Add documents and create search indexes documents-and-search-rag.md [rag icon 2-2.png](.gitbook/assets/rag icon 2-2.png)
Agents Build multi-action agentic systems agents.md Agents-2.png
Synthetic Data Generation Generate training data for models with AI synthetic-data-generation synth.png
Skills Dynamically load prompts for the current goal. skills.md skills.png
Python Library Setup Install and use our python library. python-library-quickstart.md python3.png
Demo Project End to end demo video showing how to use Kiln end-to-end-project-demo.md Video-2.png
Build a Reasoning Model Create your own reasoning model, like o3 or R1 guide-train-a-reasoning-model.md distill.png