convex-ai

Integrates OpenAI GPT models into Convex applications via serverless actions.

Updated Dec 23, 2025
One-click install
npx skills add https://github.com/Geolize/convex-skills --skill convex-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: convex-ai
Source: https://github.com/Geolize/convex-skills/tree/main/skills/convex-ai
Command: npx skills add https://github.com/Geolize/convex-skills --skill convex-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies the integration of advanced AI capabilities, such as OpenAI's models, directly into Convex applications, enabling features like intelligent text generation, chat completions, and data processing.

Core Features & Use Cases

  • AI Action Integration: Seamlessly call AI models like GPT-4 from Convex actions for complex tasks.
  • Contextual Chat: Build conversational agents by loading chat history from the database before generating AI responses.
  • AI-Powered Data Processing: Use AI to summarize documents or process data stored within your Convex database.
  • Streaming & Error Handling: Implement robust error handling and manage AI responses, including streaming capabilities.

Quick Start

Use the convex-ai skill to generate text using the prompt "Explain the concept of Convex ORM".

Frequently Asked Questions about convex-ai

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate OpenAI GPT models into a Convex application?

You integrate OpenAI GPT models into a Convex application by calling them directly from serverless actions. This setup enables secure API key management through environment variables and facilitates AI-driven text generation.

Can I load chat history from a database for contextual chat completions?

Yes, you can load chat history directly from your Convex database before generating AI responses. This facilitates building conversational agents with contextual awareness using OpenAI's chat completions.

How do I manage OpenAI API keys securely when using Convex actions?

You manage OpenAI API keys securely by storing them as environment variables within your Convex application. This ensures sensitive credentials are protected when executing serverless AI actions.

Does this approach support streaming and error handling for AI responses?

Yes, this approach supports streaming capabilities for AI responses and includes patterns for robust error handling. It also provides mechanisms for rate limiting to manage asynchronous AI response scheduling effectively.

What is the best way to schedule asynchronous AI responses in a serverless backend?

The best way to schedule asynchronous AI responses is by using serverless actions within your Convex application. This method supports AI-powered data processing, such as summarizing documents stored in your database.