Fabric llms.txt · AI Docs Browser · mdream
[llms.txt Tools](https://mdream.dev/llms-txt/fabric/llms-txt)
# Fabric llms.txt
developer.fabric.inc/llms.txt
[Raw llms.txt](https://developer.fabric.inc/llms.txt) [Raw llms-full.txt](https://developer.fabric.inc/llms-full.txt)
Copy Markdown [](https://developer.fabric.inc/llms.txt)
llms.txt
Docs
Welcome to the fabric Knowledge Base
Experiments
Importing Products
Introduction
Enrich All & Review
Enriching Products
Overview
Publishing Products
Sampled Enrichment
Taxonomy Mapping
Brands
Companies
Overview
Users
Overview
Brand Config Setup
Creating Attributes
Creating Categories
Monitor Tuning
Taxonomy Overview
Retrieve artifact metadata and download URL
Upload a catalog artifact
Get attribute import status
Import attributes from CSV
Create Access Token
Get category import status
Bulk Import Categories
Create an optimization workflow
Retrieve optimization workflow status
Product Import Developer Guide
Adding a Competitor for Monitoring
Adding a Monitored Category
Adding a Prompt
Category Performance Report
Experiment Performance
Visibility
Prompts
Recommendations
Overview
OpenAPI Specs
product-agent.openapi
imports-offers.openapi
invoices.openapi
allocations.openapi
orders.openapi
shipments.openapi
attribute.openapi
published-product.openapi
product.openapi
files-jobs.openapi
category.openapi
webhooks.openapi
shipping-methods.openapi
notifications.openapi
lists.openapi
imports.openapi
exports.openapi
backorders-preorders.openapi
segments.openapi
redemptions.openapi
promotions.openapi
product-exclusion-lists.openapi
prices.openapi
priced-products.openapi
price-types.openapi
price-methods.openapi
price-lists.openapi
price-engine.openapi
price-controls.openapi
exports-offers.openapi
coupons.openapi
coupon-codes.openapi
attributes.openapi
addons.openapi
locations.openapi
inventory.openapi
authentication_v3
dropship_webhooks.openapi
dropship_shipments.openapi
dropship_returns.openapi
dropship_proposals.openapi
dropship_products.openapi
dropship_orders.openapi
dropship_invoice.openapi
dropship_inventory.openapi
connection_invites.openapi
compliance_report.openapi
carriers.openapi
cc.openapi
checkout.openapi
cart.openapi
pim
self-service-events.openapi
customers.openapi
ShopperXP
We
SentenceStart
Headings
DefaultREADME
Anthropomorphism
Acronyms
x-site-context
x-fabric-tenant-id
x-fabric-request-id-parameter
x-fabric-request-id-header
x-fabric-channel-id
.gitlab-ci
offers_v2_combined
oms-common-entities
offers-common-entities
inventory.common-schemas
oms_v2_combined
customer-common-entities
common-parameters
cart-common-entities
common-headers
https://developer.fabric.inc/openapi/shopper
offers-rtpe-combined
customer-openapi
xm_v1
smt
identity_v2
cart-service
modular-cart
orders.common-schemas
offers_v1
https://developer.fabric.inc/openapi/shopper
oms_v1
checkout
products_merged.openapi
marketplace
orders.openapi.v3
member
inventory.openapi.v3
pim-common-entities
xm_v2
identity_v1
## What is Fabric's llms.txt?
Fabric publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Fabric offers and where to find details.
Pass
Spec
2
Sections
136
Links
16.8 KB
Size
~4.3k
Tokens
Sections: Docs · OpenAPI Specs
## Add Fabric Docs to Your AI Assistant
Select your tool to see how to add Fabric's llms.txt as a documentation source.
Cursor
Windsurf
Claude Code
ChatGPT
Zed
Copilot
1. 1
Open any chat or composer panel
2. 2
Type @Docs and select "Add new doc"
3. 3
Paste the URL: https://developer.fabric.inc/llms.txt
4. 4
Wait for the green dot (indexing complete)
5. 5
Reference @Docs in chat when asking about Fabric
Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.
## Spec Compliance 4 notes
## Frequently Asked Questions
Where is Fabric's llms.txt file?
Fabric publishes its llms.txt at https://developer.fabric.inc/llms.txt. This file provides a structured, markdown-formatted index of Fabric's documentation that AI systems can consume to understand the project's APIs, guides, and references.
How do I use Fabric's llms.txt with AI coding assistants?
Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Fabric's documentation so it can provide better code suggestions and answers about Fabric.
What does Fabric's llms.txt contain?
Fabric's llms.txt contains 2 sections and 136 documentation links in 16.8 KB (~4.3k tokens). Key sections include Docs, OpenAPI Specs.
How many tokens does Fabric's llms.txt use?
The concise llms.txt index is approximately 4.3k tokens (16.8 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.
Can I generate an llms.txt for my own project?
Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.
## Browse More llms.txt Files
[DSPy The framework for programming - rather than prompting - language models.](https://mdream.dev/llms-txt/fabric/llms-txt/dspy) [Strapi Documentation](https://mdream.dev/llms-txt/fabric/llms-txt/strapi) [Dolt Documentation Dolt – Git for Data](https://mdream.dev/llms-txt/fabric/llms-txt/dolt) [React Bits React Bits is an open source collection of memorable UI elements - Components, Animations, Backgrounds, and Text Animations - provided in four implementation variants: JavaScript + CSS, JavaScript + Tailwind, TypeScript + CSS, and TypeScript + Tailwind. Components are copy-friendly and installable via CLI (jsrepo or shadcn).](https://mdream.dev/llms-txt/fabric/llms-txt/react-bits) [Preact Documentation**Tip:** HTM also provides a convenient single-import Preact version:](https://mdream.dev/llms-txt/fabric/llms-txt/preactjs) [Chroma Docs](https://mdream.dev/llms-txt/fabric/llms-txt/trychroma) [FalkorDB Ultra-fast, Multi-tenant Graph Database](https://mdream.dev/llms-txt/fabric/llms-txt/falkordb) [Puck Puck is a modular, open-source visual editor for React.js. You can use Puck to build custom drag-and-drop experiences with your own application and React components. It's great for both internal page building applications or no-code page building products. Because Puck is just a React component, it plays well with all React.js environments, including Next.js. You own your data and there’s no vendor lock-in.](https://mdream.dev/llms-txt/fabric/llms-txt/puck)
[View all 99 projects ](https://mdream.dev/llms-txt/fabric/llms-txt)
## Related Tools
[llms.txt Generator
Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/fabric/tools/llms-txt/generator) [llms.txt Validator
Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/fabric/tools/llms-txt/validator)
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