Your AI connector for Vertex AI
If you’re using Vertex AI Studio or Agent Builder, you already know the power of generative AI. But context is what makes that power usable.
Pieces is your AI connector for Vertex AI, built to bridge your real work (code, snippets, notes, previous prompts) directly into Vertex AI workflows. It’s fast, free, and privacy-first.
Whether you're working with Vertex AI’s LLMs or building agents, Pieces helps you supply better inputs, maintain relevant memory, and quickly test across models without rebuilding your context every time.
Why use Pieces as your AI connector for Vertex AI?
Pieces isn’t another model. It’s a connection layer that gives Vertex AI something it's missing: memory, context, and developer efficiency.
Turn your desktop into a structured input layer
With Pieces, you can capture any code snippet, query, instruction, or bug report from your:
Editor (e.g., VS Code, Sublime, JetBrains)
Terminal
Clipboard
Browser
Local files or Finder selections
These become tagged, enriched, and saved as reusable Pieces. When you're ready to engage with Vertex AI Studio or the Agent Builder, you’ve already got structured prompts, examples, and references.
Avoid repeating yourself
Pieces captures:
Prompt variants
Sample completions
Function definitions
Bug-fix attempts
API snippets
So you can reuse and remix what’s worked before—without searching through old chat logs or retyping every request.
Supply context, not just input
When you paste into Vertex AI or call it from an integration, you can bring richer, curated context from your Pieces Drive:
Project folders
Model-specific prompts
Chat snippets and instructions
Annotated code
This enhances your usage of Vertex AI, especially in long or complex projects.
Set up your AI connector for Vertex AI
Using Pieces with Vertex AI requires just a few steps. There’s no custom config or hosting involved, just structured context passed through the Pieces layer.
Step 1: Install PiecesOS
PiecesOS is the engine that captures, enriches, and indexes your snippets and prompts. It powers your long-term memory and makes connecting to Vertex AI seamless.
All context stays local unless you opt into cloud sync. You control what gets passed to any third-party model, including Vertex AI.
Step 2: Start saving your materials
Use any of the available integrations or custom enable Pieces to access needed materials.
Right-click, highlight, or use the command palette to “Save to Pieces.” Everything is stored with smart metadata: source, language, tags, and custom notes.
Step 3: Use with Vertex AI Studio or Agent Builder
When building a prompt or testing a model in Vertex AI Studio, open Pieces
Search for a saved example, function, error message, or instruction
Paste or attach it into your model input window
Test multiple LLMs with clean, versioned inputs
If you're using the Vertex AI Agent Builder, use Pieces to organize reusable prompt fragments, input templates, and sample completions so your agents are easy to debug, tune, and improve.
Supported features for Vertex AI users
Feature | Description |
Save code snippets | From IDE, Terminal, Clipboard, or Browser |
Tag with context | Add use cases, function names, or purpose |
Search with AI | Use neural search to find snippets fast |
Track prompt versions | Maintain multiple iterations for testing |
Build reusable templates | Organize code + context in Pieces Drive |
Share or sync | Keep it local or sync with cloud backup |
How does this help with Vertex AI pricing and efficiency?
Vertex AI pricing is usage-based, especially when calling large models or chaining agents. Supplying better context reduces:
Unnecessary calls
Poor prompt performance
Time spent refining input
By using Pieces to prep inputs and recall successful past completions, you use fewer tokens and see better results faster.
This makes Pieces a high-leverage companion to your Vertex AI work, with no added cost.
Try Pieces as your AI connector for Vertex AI
Whether you're exploring the Vertex AI Studio, experimenting with prompts, or building full workflows in the Agent Builder, Pieces gives you the missing link: memory, structure, and speed.