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Purpose
A dedicated valve for the Responses Manifold that ensures GPT-5 consistently outputs in Markdown, without requiring the user to explicitly request it.
Why
GPT-5 doesn’t automatically produce Markdown by default, since its API responses are designed for maximum compatibility across different applications. But in contexts like Open WebUI, Markdown is desirable for structured output (lists, tables, code blocks, inline code, etc.).
How it works (conceptually)
The valve automatically injects Markdown-specific guidance into the conversation at configurable intervals (e.g., every 3–5 user messages).
This keeps formatting consistent in longer conversations, preventing drift even when the system prompt alone isn’t enough.
Guidance injected
Use Markdown only where semantically correct (e.g., inline code, code fences, lists, tables).
Use backticks for file, directory, function, and class names.
Use \( and \) for inline math, \[ and \] for block math.
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Purpose
A dedicated valve for the Responses Manifold that ensures GPT-5 consistently outputs in Markdown, without requiring the user to explicitly request it.
Why
GPT-5 doesn’t automatically produce Markdown by default, since its API responses are designed for maximum compatibility across different applications. But in contexts like Open WebUI, Markdown is desirable for structured output (lists, tables, code blocks, inline code, etc.).
How it works (conceptually)
Guidance injected
inline code
,code fences
, lists, tables).\(
and\)
for inline math,\[
and\]
for block math.Reference
🔗 [OpenAI Cookbook – GPT-5 Prompting Guide: Markdown Formatting](https://cookbook.openai.com/examples/gpt-5/gpt-5_prompting_guide#markdown-formatting)
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