Dash Improve My LLMs — the AI and crawler surface for Dash apps

dash-improve-my-llms — the crawler, agent and SEO companion every Dash app mounts in one line. By Pip Install Python.

A Dash app is a JavaScript shell. A crawler that fetches it gets an empty <div>; an agent that reads it learns nothing; a search engine indexes a loading spinner. This package closes that gap without asking you to change how you write Dash.

What it does

One call — add_llms_routes(app) — mounts the whole machine-facing surface:

Installed here: 2.10.0 — this site reads the number from the package that is actually serving it, never from prose.

The three audiences

This site is organised the way the package is: by who is asking.

• MCP clients — an assistant that speaks MCP

mounts your docs as a resource and reads them natively. No copying, no scraping, no context window spent on HTML.

• Web crawlers — Googlebot, ClaudeBot,

GPTBot, PerplexityBot. Each gets a document rendered for it, under a policy you declare once and serve everywhere.

• Paste-to-chat — a person pastes your URL

into a chat window. The assistant fetches prose, not a bundle.

Control, not just discovery

Discovery is the floor. Since 2.7 the package is also the layer that decides who gets served at all:

• Per-vendor policy — allow, block or meter each crawler by name. One

fold drives robots.txt and the middleware, so what you publish and what you enforce cannot drift apart.

• The country guardrail — configure_geo(deny_countries=[...]) answers

451 on every surface for a listed country: pages, assets, the corpus, robots.txt, even the favicon. Compliance, uniformly applied.

• The rate contract — a stated ceiling on the corpus routes, enforced,

failing open on any limiter error.

• The operator panel — a read-only, token-gated page showing the live

effective policy of every surface, including which header resolved this request's country.

Each of those takes a callable as well as a static value, and the callable is read per request. That is the seam this site's control board writes through: flip a country on the map, and the next request from it gets 451 — in every worker, with no restart and no redeploy.

Install

pip install dash-improve-my-llms[flask]      # or [fastapi], [quart], [all]

import dash
from dash_improve_my_llms import add_llms_routes, LLMSConfig

app = dash.Dash(__name__, use_pages=True)

add_llms_routes(app, LLMSConfig(warn_missing_llms_doc=True))

That is the whole integration. Every page that defines a module-level LLMS_DOC string is served verbatim at its own llms.txt; every page without one is still indexed, still prerendered, still in the sitemap.

Writing a page's prose

# pages/pricing.py
LLMS_DOC = """
# Pricing

Three tiers. The free tier has no time limit.
"""

No layout walking, no extraction heuristics, no second copy of your docs to keep in sync.

Backends

Dash 4.1 made the server pluggable, and the package follows it: the same surface under Flask, FastAPI and Quart, auto-detected. Nothing in the list above is backend-specific, and the package's suite runs against all three.

Resources

• PyPI: dash-improve-my-llms
• GitHub: pip-install-python/dash-improve-my-llms
• The network: 2plot.dev indexes every component

site that runs this package — including this one.

• The live directory: every peer site, and this host's own policy, on the policy panel

Community

• GitHub: @pip-install-python
• YouTube: 2plot.ai — build-alongs and component walkthroughs

License

MIT License — see LICENSE for details.