> For the complete documentation index, see [llms.txt](https://ais-organization-2.gitbook.io/ai-trader/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ais-organization-2.gitbook.io/ai-trader/docs/avm.md).

# AVM

### What is AVM？

AVM (AI Trader Virtual Machine) is a virtual machine on the main network of AI Trader, which supports editing and running of smart contracts. With the support of the bridge, it can be compatible with applications including Ethereum and BSC chains. It is a new generation virtual machine based on web3 architecture. All contracts can be migrated and deployed to AVM and become part of the ecosystem.

The AI Trader STATE TRANSITION FUNCTION The AVM behaves as a mathematical function would: Given an input, it produces a deterministic output. It therefore is quite helpful to more formally describe Ethereum as having a state transition function:

Function:

A(S, T)= S'

AI Trader execution clients include an AVM implementation. Additionally, there are multiple standalone implementations, including:

Py-AVM - Python 

Avmone - C++ 

AITraderjs-am - 

JavaScript aAVM - C++


---

# 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://ais-organization-2.gitbook.io/ai-trader/docs/avm.md?ask=<question>&goal=<endgoal>
```

`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.