Pieces Integration

Pieces for Developers is an AI-powered productivity tool suite that helps developers save, enrich, search, and share code snippets. It includes a desktop app, browser extensions, and IDE plugins, all powered by a local-first AI engine (PiecesOS) with optional cloud model support.

Pieces supports custom LLM providers through PiecesOS configuration, allowing you to connect LLM API for AI-powered features.

Prerequisites

An LLM API account with an API key
Pieces installed or accessible

Setup

Get Your LLM API Key

Log in to your LLM API dashboard
Click Create Key to Start
Copy your new API key immediately — it will only be shown once
Store the key securely (e.g., in a password manager or .env file)

LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a single API key and endpoint.

Configure LLM API in Pieces

Open the Pieces Desktop App.
Navigate to Settings → Machine Learning / Model Configuration.
Select "Custom" or "OpenAI Compatible" as the cloud model provider.
Enter the following details:
- API Key: paste the key you copied from app.llmapi.ai/api-keys
- Endpoint URL: https://api.llmapi.ai/v1
Select the model you wish to use.
Click "Save" to apply.

Test the Integration

Verify that Pieces can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.

PiecesOS handles the connection locally, so your API key stays on your machine.

Benefits of Using LLM API with Pieces

Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
Cost Control: Track and limit your AI spending with detailed usage analytics
Unified Billing: One account for all providers instead of managing multiple API keys
Caching: Reduce costs with response caching for repeated requests

View all available models on the models page.