# Future

## Improved Markdown Support

Allowing raw chunks of static markdown

```html
<script type="hf/md">
... raw markdown
</script> 
```

## Configs

Support either internal configs for upstream, or controller-driven configs&#x20;

Smart failure for unconnected RPC's at DEV&#x20;

## YAML

There is currently **no formal specification** for `llms.txt` that defines support for YAML frontmatter or structured blocks like that. However:

* LLMS crawlers like **OpenAI**, **Anthropic**, **Perplexity**, etc., **are starting to read `llms.txt`** files with simple key-value lines.
* There's growing **community consensus** around a flexible, plaintext-friendly structure that is easy to parse and human-readable.

#### ✅ Recommended Format for `llms.txt` (as of 2024–2025)

The most commonly observed structure follows simple `key: value` pairs, like:

```txt
txtCopyEditpage: https://example.com/about
source: https://example.com/about.md
license: CC-BY-4.0
llm: openai
```

You can see examples and early proposals from:

* [OpenAI’s LLM training data documentation](https://openai.com/llms)
* [GitHub repos](https://github.com/search?q=llms.txt) exploring `llms.txt` format (some maintained by AI transparency advocates)
* Discussions on Hacker News, [GitHub Issues](https://github.com/topics/llms.txt), and community forums


---

# Agent Instructions: 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:

```
GET https://hyperflow.sygnal.com/apps/hyperflow-llms/future.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
