> For the complete documentation index, see [llms.txt](https://nx.docs.scailable.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nx.docs.scailable.net/readme.md).
# AI Manager plugin version 6.1.2
The AI Manager is a plugin for the [Network Optix toolkit](https://www.networkoptix.com/developers/nx-toolkit) that lets you run AI and ML models on edge devices (routers, gateways, IPCs, and smart cameras) and analyze live video streams. You can count vehicles, detect objects, read license plates, or run any other vision model against a camera feed.
This documentation covers setup and configuration of edge AI solutions on Linux-based hardware supported by Nx Meta.
## Architecture
The plugin runs inside Nx Meta Server on any supported edge device. It takes a camera's video stream as input, runs an AI model against each frame, and returns results: bounding boxes, classification scores, event triggers, and so on.
The **AI Cloud** lets you manage and deploy models to any number of devices from a single browser interface. Assign or swap a model on one device or on thousands at once.
The **AI model** is what determines what the plugin detects or measures. Off-the-shelf models are available in the model library. Data scientists can upload custom models to the platform for organization-specific use cases.
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://nx.docs.scailable.net/readme.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.