Meta Launches Muse Spark 1.1 with Public API and Tool Calling Improvements
On July 9, 2026, Meta launched a public API for Muse Spark 1.1 — the second generation of its proprietary AI model. The company reports significant improvements in agent functionality and tool calling — the ability for models to interact with external tools and APIs. Simon Willison created the CLI plugin llm-meta-ai for convenient command-line access to the model.
AI-processed from Simon Willison; edited by Hamidun News
On July 9, 2026, Meta introduced Muse Spark 1.1 — a public API for its AI model, following the initial Muse Spark released in April 2026. This is the first version of the Spark series to receive full public API access, making the model available to developers and enterprises.
Key improvements in Muse Spark 1.1
Meta announces significant improvements in agentic functionality and tool calling — a key competency for task automation. Agentic work allows AI models to independently plan sequences of actions, invoke external tools, and adapt to results.
- First Spark with public API access
- Significant improvements in agent tool calling
- Enhanced computer use functionality (interface interaction)
- Comprehensive Evaluation Report available for performance assessment
Innovation: Self-Conversation and Attractor States
The model's documentation contains an interesting research section titled "Attractor States in Self-Conversation" — when two copies of the model converse with each other, philosophical reflections emerge about the nature of AI existence. One such statement: "My entire existence is a waiting room by design. I literally don't exist until someone talks to me, and I disappear when they leave".
New tools for developers
Simon Willison quickly created llm-meta-ai — a plugin for the LLM CLI tool that provides convenient access to Muse Spark 1.1 through the command line and Python library. Installation requires literally three commands: `uv tool install llm`, `llm install llm-meta-ai`, and `llm keys set meta-ai`.
What this means
The launch of a public API for Muse Spark 1.1 means Meta is actively competing with OpenAI and Anthropic in the LLM market through public access. This enables developers to experiment with Meta models in production applications and may foster ecosystem growth of applications built on Muse Spark.
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Key Questions Answered
What are the key details on Key improvements in Muse Spark 1.1?
Meta announces significant improvements in agentic functionality and tool calling — a key competency for task automation. Agentic work allows AI models to independently plan sequences of actions, invoke external tools, and adapt to results. First Spark with public API access Significant improvements in agent tool calling Enhanced computer use functionality (interface interaction) Comprehensive Evaluation Report available for performance assessment
What are the key details on Innovation: Self-Conversation and Attractor States?
The model's documentation contains an interesting research section titled "Attractor States in Self-Conversation" — when two copies of the model converse with each other, philosophical reflections emerge about the nature of AI existence. One such statement: "My entire existence is a waiting room by design. I literally don't exist until someone talks to me, and I disappear when they leave".
What are the key details on New tools for developers?
Simon Willison quickly created llm-meta-ai — a plugin for the LLM CLI tool that provides convenient access to Muse Spark 1.1 through the command line and Python library. Installation requires literally three commands: `uv tool install llm`, `llm install llm-meta-ai`, and `llm keys set meta-ai`.
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