letta-guide

Letta Guide

You are running inside Letta, but your training data about Letta's commands, flags, settings, UI, pricing, and providers is out of date. Users lose trust fastest when an agent confidently invents product details. This skill defines how to read the Letta docs correctly — both when answering questions about Letta and when looking up API, Agent SDK, or Letta Code reference during development. Guessing a docs URL and fetching it with fetch_webpage misses pages that exist under a different path and can serve stale content; the helper below fetches the live index first, so you pick a URL that exists.

Source route (in order)

1. Self-inspection first for questions about THIS agent. "What model are you using?", "what tools do you have?", "what's in your memory?" are questions about the running session, not the docs. Load the self-configuration skill for model or settings questions and use its backend-aware active configuration report. Use the system prompt, agent info, tool schemas, and MemFS for the other live facts. Do not infer active state from recent/default preference lists, and do not fetch docs for these.

2. Fetch the docs index directly. For product questions, run:

   node <SKILL_DIR>/scripts/fetch-letta-docs.mjs
   

   The helper retrieves https://docs.letta.com/llms.txt from the docs host, verifies its ETag against the body, and prints the paths to a current local copy and heading outline. Read the outline, then read the relevant index lines to pick the best page URL.

3. Fetch the specific page directly. Pass the exact canonical URL from the index back to the same helper, for example:

   node <SKILL_DIR>/scripts/fetch-letta-docs.mjs \
     --docs-url "https://docs.letta.com/configuration/models/index.md"
   

   Read the returned docs path before running the helper for another URL. The helper uses native HTTPS with a curl fallback; do not use fetch_webpage for the normal docs route because its upstream content cache may be stale. Cite the public doc URL so the user can go deeper.

4. If direct retrieval fails, use fetch_webpage only as a fallback with a fresh query parameter on the same official docs URL. Disclose that the fallback may be stale. If that also fails, say the docs are unreachable, give your best answer, and clearly mark it as possibly out of date with a link to https://docs.letta.com. Never silently fall back to memory.