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AI Integration

Argyros provides resources optimized for AI agents and LLM-powered tools.

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Resources

ResourceURLPurpose
llms.txt/llms.txtLLM-optimized index of all docs pages. Use this to discover which page has the information you need.
llms-full.txt/llms-full.txtComplete API reference in a single file. All parameters, response schemas, error tables, and code examples. Fetch this to get everything in one request.
skill.md/skill.mdDecision-tree playbook for AI agents. Maps user intents to API endpoints with parameter guidance, response schemas, and error recovery.
OpenAPI spec/api-reference/openapi.jsonMachine-readable OpenAPI 3.1 spec for all endpoints. Use for code generation or structured API exploration.

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How to use

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For LLM agents (Cursor, Claude Code, Windsurf, etc.)

  1. Fetch /llms-full.txt to get the complete API reference in one file (parameters, schemas, errors, code examples).
  2. Or fetch /llms.txt for a page index, then read specific pages as needed.
  3. Use /skill.md as a playbook for making API calls. It has decision trees, response schemas, and error recovery.

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For automated integrations

  1. Fetch /api-reference/openapi.json for the machine-readable spec.
  2. Read /skill.md for the intent → endpoint decision tree.
  3. Use the parameter tables and error recovery flows to build robust integrations.

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llms.txt

The llms.txt file follows the llms.txt standard. It contains a one-line summary of every docs page with its URL, optimized for LLM context windows.

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skill.md

The skill.md file is a structured playbook that helps AI agents:
  • Route intents. “swap SOL for USDC” → GET /quote then POST /swap
  • Choose parameters. Which fields are required, what defaults to use
  • Handle errors. What to do when a quote returns “no route found”
  • Compose flows. Multi-step workflows like quote → build → sign → submit