Swapping AI SDK for pi-ai as the LLM provider layer
Melvin Vivas · X post · 2026-08-16 · Open on X
Topics: LLM Fundamentals, AI Agents, Tool Use & MCP · Level: intermediate
Summary
The creator replaced the AI SDK in his own AI library, which connects to multiple AI providers, with pi-ai from Pi (@pidotdev). It's an example of choosing a provider-abstraction layer for calling different LLM APIs through one interface.
Key points
- Use one library to talk to many LLM providers instead of coding against each API
- The creator moved his library from AI SDK to pi-ai
- He found pi-ai the best fit for interfacing with AI providers
Resources mentioned
- Pi · tool · x.com · free
A customizable coding agent that can be extended through its Extensions API and connected to several model providers.
Also in: Sign in with ChatGPT: Setting Usage Limits for Each App (Melvin Vivas on X · notes), Pi reaches v1.0 (Melvin Vivas on X · notes), Claude Code mods: customize behavior and UI with plugins (Melvin Vivas on X · notes), Customizing Your Coding Setup with Pi Coding Agent Extensions (Melvin Vivas on X · notes) and 39 more - pi-ai · tool · github.com · free · open in a browser to verify
A library from Pi that gives one interface to many LLM providers. - AI SDK (Vercel) · tool · ai-sdk.dev · free
Vercel's TypeScript toolkit for calling LLM providers and building AI apps.
More in LLM Fundamentals
- Qwen 3.8 27B Matches GPT 5.6 Luna (max) on Artificial Analysis
- Run LFM2.5-2.6B locally with llama-cpp-python in Colab
- GLM-5.3 free weekend trial announcement
- Open Models Aren't Always Local Models
- Using LFM2.5-VL-3B's Vision Capabilities (Liquid AI Guide)
- Cohere's North Micro Vision: a small open-source vision model for documents