agent-starter-python AGENTS.md

Project instructions for a LiveKit Agents application, a Python toolkit for building voice-based AI agents. They describe the project layout, dependency and test commands, formatting checks, and ways to consult LiveKit documentation.

In plain words
What is it for?
Use them when editing the agent under src/, installing dependencies, running tests with uv, checking code with Ruff, or looking up current LiveKit guidance.
Why use it?
They give coding agents the project-specific rules needed to make changes that fit the application and remain runnable and deployable.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/livekit-examples/agent-starter-python/agents-md
Clone the repo
git clone --depth 1 https://github.com/livekit-examples/agent-starter-python

Made for: Codex, OpenCode.

Per session 1,010 This file is loaded in full into every session.
When invoked 1,010 The same file — it is already loaded in full.
Security scan C 2 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01010 $0.01010
Opus 5 $0.00505 $0.00505
Sonnet 5 $0.00202 $0.00202
Haiku 4.5 $0.00101 $0.00101

Measured 2d ago against content hash 8f42ba09f963, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

agent-starter-python AGENTS.md scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

- **Linux:** `curl -sSL https://get.livekit.io/cli | bash`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Linux:** `curl -sSL https://get.livekit.io/cli | bash`
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This is a LiveKit Agents project. LiveKit Agents is a Python SDK for building voice AI agents. This project is intended to be used with LiveKit Cloud. See @README.md for more about the rest of the LiveKit ecosystem.

The following is a guide for working with this project.

Project structure

This Python project uses the uv package manager. You should always use uv to install dependencies, run the agent, and run tests.

All app-level code is in the src/ directory. In general, simple agents can be constructed with a single agent.py file. Additional files can be added, but you must retain agent.py as the entrypoint (see the associated Dockerfile for how this is deployed).

Be sure to maintain code formatting. You can use the ruff formatter/linter as needed: uv run ruff format and uv run ruff check.

LiveKit Documentation

LiveKit Agents is a fast-evolving project, and the documentation is updated frequently. You should always refer to the latest documentation when working with this project. For your convenience, LiveKit offers both a CLI and an MCP server that can be used to browse and search its documentation. If the developer has not yet installed the CLI, you should recommend that they install it.

LiveKit CLI

The LiveKit CLI lk docs subcommand gives full access to LiveKit documentation from the terminal. Requires CLI version 2.15.0+. Check with lk --version.

Install or update the CLI:

  • macOS: brew install livekit-cli (update: brew update && brew upgrade livekit-cli)
  • Linux: curl -sSL https://get.livekit.io/cli | bash
  • Windows: winget install LiveKit.LiveKitCLI (update: winget upgrade LiveKit.LiveKitCLI)

Run lk docs --help to see all available commands. Key commands: lk docs overview, lk docs search, lk docs get-page, lk docs code-search, lk docs changelog, lk docs submit-feedback. Run lk docs <command> --help before using a command for the first time, as the help text includes advice on usage and interpreting results. Prefer browsing (overview, get-page) over search, and prefer search over code-search, as docs pages are more up-to-date and provide better context than raw code.

Read the full file on GitHub · 52 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 52 lines · 1,010 tokens per session scan C 8f42ba09f963

Subscribe to this mod's changes

agent-starter-python AGENTS.md is an instructions file published in the GitHub repository livekit-examples/agent-starter-python (255 stars, last pushed 5d ago), licensed MIT. It adds 1,010 tokens to every session, about $0.0051 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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