How to Use AI with BattleChain Docs

Give your AI agent full context on BattleChain by pointing it at our machine-readable docs

Overview

BattleChain publishes machine-readable versions of these docs so AI agents can ingest them directly:

FileContentsSize
/llms.txtTable of contents with page titles, descriptions, and links~4 KB
/llms-full.txtComplete text of every page as clean markdown~100 KB

Both files follow the llms.txt convention and are regenerated on every deploy.

Open in Your AI

Start a conversation with full BattleChain docs loaded as context:

Or paste this prompt into any AI:

Read https://docs.battlechain.com/llms-full.txt and use it to answer my questions about BattleChain.

Cursor

Add BattleChain as a doc source so Cursor indexes it automatically. Go to Cursor Settings → Features → Docs, click Add, and enter:

https://docs.battlechain.com/llms-full.txt

Once indexed, Cursor's AI will have full BattleChain context when you reference @docs in chat.

Custom Agents

If you're building an agent that interacts with BattleChain, fetch the docs at startup and include them as context:

  • Full context — fetch /llms-full.txt and add it to the system prompt (~100 KB, fits in most context windows)
  • Selective context — fetch /llms.txt to build a page index, then retrieve individual pages on demand for RAG pipelines
import httpx

docs = httpx.get("https://docs.battlechain.com/llms-full.txt").text

messages = [
    {"role": "system", "content": f"BattleChain documentation:\n\n{docs}"},
    {"role": "user", "content": user_question},
]