Aici

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AICI is a Coding & Development tool that allows developers to build controllers for Large Language Models (LLMs). It enables real-time constraint and direction of LLM output, supporting constrained decoding and dynamic text editing.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is aici?

The Artificial Intelligence Controller Interface (AICI) is a powerful tool designed for developers to build Controllers that can constrain and direct the output of Large Language Models (LLMs) in real time. These Controllers are flexible programs capable of implementing constrained decoding, dynamically editing prompts and generated text, and coordinating execution across multiple, parallel generations. AICI allows custom logic during token-by-token decoding and maintains state during an LLM request, enabling diverse strategies from programmatic decoding to multi-agent conversations. It abstracts away LLM inference and serving engine details, simplifying Controller development and ensuring compatibility across various engines like llama.cpp, HuggingFace Transformers, and rLLM. Controllers are implemented as lightweight WebAssembly (Wasm) modules for fast, sandboxed execution.

Best used for

Ideal for developers and data scientists who need to precisely control LLM output, implement custom generation logic, and integrate with various LLM inference engines. Especially valuable for building applications requiring constrained decoding, dynamic text editing, or multi-agent conversations with LLMs.

Common actions

control LLM output

constrain LLM generation

develop AI controllers

integrate LLM logic

experiment with LLMs

collaborationlow-code/no-codeworkflowsopen-sourceautomated workflowdeepfakegithub copilot"AI Agents"face swapping

Capabilities

Key features

Real-time LLM output control
Wasm module execution
Dynamic prompt/text editing
Multi-agent conversation coordination
Integrates with LLM inference engines
Sandboxed controller execution

Target Audience

developerdata scientist

Integrations

llama.cpphuggingface-transformersrllm

Pricing & Plans

Open Source

Free

FAQs

What programming languages can be used to write AICI controllers?

AICI controllers can be written in any language that compiles to WebAssembly (Wasm), such as Rust, C, or C++. Additionally, languages like Python and JavaScript can be interpreted inside Wasm modules, offering flexibility for controller development.

How does AICI ensure the security of custom controllers?

AICI ensures security by running controllers as sandboxed WebAssembly (Wasm) modules. This sandboxing prevents controllers from accessing the filesystem, network, or other system resources, thereby enhancing the security and stability of the LLM inference environment.

What is the performance impact of using AICI controllers?

AICI controllers are designed for high performance. Wasm modules are compiled to native code and run in parallel with the LLM inference engine, resulting in only a minimal overhead to the generation process. This allows for efficient integration of custom logic.

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Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

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