ToolNest AI

Prompto

Open-source web app for interacting with LLMs, fine-tuning results, and saving prompts.

Visit Website
Prompto

What is Prompto?

Prompto is an open-source web application designed to make interacting with Large Language Models (LLMs) simple and efficient. It allows users to fine-tune results, chat or query, and save prompts. Prompto runs entirely in your browser as a Progressive Web Application (PWA) and communicates directly with your chosen LLM provider through LangChain.js integrations.

How to use

Prompto runs in your browser. Choose an LLM, adjust settings like temperature, and use the chat, notebook, templates, or arena features to interact with the LLM. Settings and data are stored locally in your browser.

Core Features

  • Multiple LLM support via LangChain.js
  • Temperature control for response adjustment
  • Chat interface for conversational context
  • Notebook for isolated prompts
  • Templates for saving and reusing prompts
  • Arena for comparing LLM responses
  • Discussion for creating conversations between AI personas

Use Cases

  • Interacting with different LLMs through a user-friendly interface
  • Fine-tuning the creativity and predictability of LLM responses
  • Creating and saving prompts for later use
  • Comparing the outputs of different LLMs side-by-side
  • Engaging in dynamic conversations with multiple AI personas

FAQ

What is Prompto?
Prompto is an open-source web application designed to make interacting with different large language models simple and efficient.
How does Prompto work?
Prompto runs entirely in your browser as a Progressive Web Application (PWA). Your browser communicates directly with your chosen LLM provider through LangChain.js integrations.
Where is my data stored?
All settings, chat histories, templates, and configurations are stored in your browser's local storage.
Is Prompto open-source?
Yes, Prompto is open-source under the MIT License.

Pricing

Pros & Cons

Pros
  • Open-source and free to use
  • User-friendly interface for interacting with LLMs
  • Supports multiple LLMs through LangChain.js
  • Offers various interaction modes (chat, notebook, templates, arena, discussion)
  • Settings and data stored locally for privacy
  • Runs entirely in the browser as a PWA
Cons
  • Requires JavaScript to be enabled
  • Relies on browser's local storage for data persistence, which can be accessed by others in some situations
  • Requires connection to an LLM provider through LangChain.js