> For the complete documentation index, see [llms.txt](https://docs.sigrex.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sigrex.io/more/changelog.md).

# Changelog

## `0.3.3`

A major frontend overhaul with numerous UI and UX improvements, delivering a faster, cleaner, and more intuitive experience throughout the platform.

Added support for [**Nous Research**](https://nousresearch.com/) and [**NVIDIA**](https://build.nvidia.com/), giving you access to even more state-of-the-art language models for your AI strategies.

Reactions now support **Frequency** settings, allowing you to control how often a reaction can be triggered and helping prevent unwanted repeated executions.

## `0.3.2`

All bots and strategies can now be organized into folders, making it easier to manage and structure your workspace as it grows.

[Code Strategies](/startegies/code.md) and [Reactions](/reaction/code-reaction.md) now support folder-level environment variables. Variables defined on a folder automatically apply to all strategies within that folder and will override globally defined environment variables when the same key is used.

Restricted platform access as part of our ongoing security and compliance measures. Services are currently unavailable connecting from:

* Afghanistan
* Belarus
* Bosnia and Herzegovina
* Guinea
* Guinea-Bissau
* Iran
* Iraq
* Russia

## `0.3.1`

Added **ML-DSA44 post-quantum signing** as a new API authentication option alongside HMAC SHA256.

You can now secure requests using either:

* HMAC
* ML-DSA44 ([post-quantum safe](https://openquantumsafe.org/liboqs/algorithms/sig/ml-dsa.html))

This brings NIST-standard quantum-resistant signatures to the developer API.

## `0.3.0`

LLM Sessions no longer rely on parsing plain-text responses such as `LONG`, `SHORT`, or `EXIT`. Signal generation has been upgraded to native tool calling, allowing AI strategies to open and close positions directly through built-in trading tools.

Introduced the new `set_storage` [tool](/startegies/llm-session/signal-generation.md#llm-tooling-reference). LLM strategies can now maintain their own persistent JSON storage, which is automatically provided on every execution. This enables AI strategies to track state, remember previous decisions, manage workflows, and build more advanced long-term reasoning processes.


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