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Documentation Index

Fetch the complete documentation index at: https://docs.getsly.ai/llms.txt

Use this file to discover all available pages before exploring further.

The whole public docs portal is also published as plain text for agent consumption, following the llms.txt convention.

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What’s available

llms.txt — index

Hierarchical link index of every doc page. Compact (~30 KB). Best when you want the agent to navigate to specific topics.

llms-full.txt — flattened

Every page concatenated as a single document (markdown). Larger (~1-3 MB depending on size). Best for stuffing the agent’s context once and answering many questions.
Both are auto-regenerated by Mintlify on every docs deploy — they always reflect the current state of docs.getsly.ai. Each individual page is also available as raw markdown by appending .md to its URL: 
https://docs.getsly.ai/agents/kya-tiers.md
https://docs.getsly.ai/protocols/x402.md
https://docs.getsly.ai/api-reference/openapi

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How agents typically use this

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Pattern 1 — knowledge base for support agents

const SLY_KB = await fetch('https://docs.getsly.ai/llms-full.txt').then(r => r.text());

// Pin in the agent's system prompt
const systemPrompt = `
You are a support agent for the Sly platform. Reference the
documentation below when answering integration questions:

${SLY_KB}
`;
Refresh once per deploy or on a daily cron.

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Pattern 2 — targeted lookup via index

// 1. Fetch the index
const index = await fetch('https://docs.getsly.ai/llms.txt').then(r => r.text());

// 2. Ask the LLM which page is relevant
const relevantUrl = await llm.ask(`
  Which doc URL is most relevant for the question: "${userQuestion}"?
  Choose from this index:
  ${index}
`);

// 3. Fetch only that page
const page = await fetch(relevantUrl).then(r => r.text());
Cheaper on tokens than stuffing all docs upfront.

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Pattern 3 — MCP server consumption

If you’re using the Sly MCP server, it exposes documentation lookup as a built-in tool. Agents call sly_docs_search(query) and get the relevant page back as a tool result.

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Caching guidance

  • llms.txt changes when the doc structure changes (rare). Cache for a day.
  • llms-full.txt changes on every doc deploy. Cache for an hour.
  • Per-page .md changes when that page is edited. Cache for an hour.
Both files are served with appropriate Cache-Control headers. Sly is agent-first across multiple surfaces:
  • MCP catalog — every Sly capability as an MCP tool, drop-in for Claude Desktop / Cursor / Windsurf
  • A2A agent card — public, machine-readable identity + skill catalog
  • OpenAPI spec — docs.getsly.ai/api-reference/openapi.json for codegen
  • Function-calling tool definitions — GET /v1/capabilities/function-calling returns OpenAI/Anthropic-compatible tool defs
Use whichever surface fits your runtime.