Add Meta's Muse Spark 1.1 model as a selectable option inside the pi coding agent.
Experiment with a 1 million token context window for large codebases or documents.
Try agentic features like tool calling and structured output with Meta's model for free during its preview period.
| seemethere/pi-meta-ai | 0xkinno/astraea | 0xkinno/halcyon | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | hard | hard |
| Complexity | 2/5 | 4/5 | 4/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires an API key from Meta's developer portal and the pi coding agent already installed.
pi-meta-ai is a small extension that connects the pi coding agent to Meta's Model API, giving it access to a model called Muse Spark 1.1. If you already use pi as your AI coding assistant, this extension lets you add Meta's model as another option alongside whatever you use today, using an API key from Meta's developer site. Once installed, the extension registers Meta's API as a provider inside pi and supports the same kind of agentic features pi normally offers: calling tools, running several tools at once, streaming responses as they are generated, adjustable reasoning effort, structured JSON output, and even image input in formats like PNG or JPEG. It also supports a very large context window of up to 1 million tokens, which means it can take in a large amount of text or code at once. Setup involves installing the pi coding agent through npm, then either installing this extension from source or as a package, getting an API key from Meta's developer portal, and providing that key to pi either through a login command inside the tool or by setting an environment variable before starting pi. After that, you select the Meta model from within pi and start chatting normally, with pi's usual tools like reading files, running commands, and editing code all working as before. The README notes that Meta's Model API is currently in a free preview, so cost is shown as zero for now and will be updated if pricing changes. The project includes basic troubleshooting steps for authentication issues and a short development guide for anyone who wants to modify the extension itself. It is released under the MIT license.
An extension that adds Meta's Muse Spark 1.1 AI model as an option inside the pi coding agent, using an API key.
Mainly TypeScript. The stack also includes TypeScript, Node.js, Meta Model API.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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