@nativepi/meta

A Pi package that adds Meta as a provider for Muse Spark models via the Meta Model API. It works in Pi's terminal and in NativePi.

Install

pi install @nativepi/meta

Set your Model API key:

export MODEL_API_KEY=your-key  # from https://dev.meta.ai

Then select a Muse Spark model in Pi (/model) or in NativePi's model picker. The provider appears as Meta with models muse-spark-1.1, muse-spark-1.2, and muse-spark-1.2-contributor.

Models

• muse-spark-1.1 — Muse Spark 1.1, 1,000,000 context / 32,000 max output, reasoning with encrypted-content replay
• muse-spark-1.2 — Muse Spark 1.2, 1,048,576 context / 131,072 max output
• muse-spark-1.2-contributor — Muse Spark 1.2 Contributor, same context/output as 1.2 at contributor pricing

All use the OpenAI Responses API at https://api.meta.ai/v1 with MODEL_API_KEY for authentication. Standard pricing is $1.25 / 1M input and $4.25 / 1M output (cache read $0.15); contributor is $0.10 / $0.20, as reported by Meta / https://api.meta.ai/v1 catalog.

Details

• Provider id: meta, display name Meta
• Base URL: https://api.meta.ai/v1
• Auth: MODEL_API_KEY (exposed as $MODEL_API_KEY); Pi's /login and NativePi's provider settings work once the key is set
• API: openai-responses — reasoning is preserved across turns via reasoning.encrypted_content, which keeps the agent's prior thinking during tool loops
• Thinking levels: minimal, low, medium, high, xhigh (and max as xhigh); off maps to high because Muse Spark always reasons and the before_provider_request hook always adds reasoning.encrypted_content for continuity

NativePi shows the provider automatically; no extra renderer is required. The extension only registers the provider with Pi.