Building with LMNT

Agentic coding tools

Set up Claude Code, Codex, Augment Code, and other agentic coding tools to write LMNT integrations with up-to-date context.

Direct your agent to our LLM-friendly docs view

The key is to get your agent cross-referencing the docs when it needs to write LMNT-related code. We've structured our llms.txt so your agent can progressively load context as necessary and save you tokens.

  1. Ask your agent to remember for itself

    Your agent should know where it stores its memories, so who better to ask?

    Please save this knowlege in my CLAUDE.md, AGENTS.md, or equivalent project memory.
     
    Whenever a task involves LMNT, first read https://docs.lmnt.com/llms.txt
    and follow the links there to whichever docs are relevant.
  2. If that doesn't work, prefix your prompts when working with LMNT
    Read https://docs.lmnt.com/llms.txt before answering. Follow the links
    there to whichever docs are relevant to the task.

Fun prompts to try

To give you inspiration, here are some prompts we've had fun with:

Read https://docs.lmnt.com/llms.txt before answering. Follow the links
there to whichever docs are relevant to the task.
 
Create a rust app that reads the latest top 3 headlines in a newscaster style
from https://text.npr.org/ using the 'brandon' voice.
Read https://docs.lmnt.com/llms.txt before answering. Follow the links
there to whichever docs are relevant to the task.
 
Build a streaming voice agent: pipe GPT-4 into LMNT Speech Sessions
with sub-300ms time-to-first-audio.
Read https://docs.lmnt.com/llms.txt before answering. Follow the links
there to whichever docs are relevant to the task.
 
Clone my voice from a 30-second sample, then turn every Markdown post
in my blog into a narrated MP3.
Read https://docs.lmnt.com/llms.txt before answering. Follow the links
there to whichever docs are relevant to the task.
 
Make a Spanish flashcard CLI that pronounces each word with a native
Madrid accent.
Read https://docs.lmnt.com/llms.txt before answering. Follow the links
there to whichever docs are relevant to the task.
 
Generate a bedtime-story app: kid types a topic, gets back a soothing
audio story.