Borrowing it
Nothing to install: this file belongs to roryeckel/wyoming_openai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/roryeckel/wyoming_openai/main/AGENTS.mdgit clone --depth 1 https://github.com/roryeckel/wyoming_openaiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/roryeckel/wyoming_openai/agents-md)<a href="https://agentmods.dev/instructions/roryeckel/wyoming_openai/agents-md"><img src="https://agentmods.dev/badge/instructions/roryeckel/wyoming_openai/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/roryeckel/wyoming_openai/agents-md"><img src="https://agentmods.dev/badge/instructions/roryeckel/wyoming_openai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01096 | $0.01096 |
| Opus 5.5 | $0.00438 | $0.00438 |
| Sonnet 5.5 | $0.00219 | $0.00219 |
| Haiku 4.5 | $0.00110 | $0.00110 |
Grade A, and why
wyoming_openai AGENTS.md scanned grade A with 0 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents working with code in this repository. It is symlinked as CLAUDE.md for Claude Code compatibility.
Project Overview
Wyoming OpenAI is a proxy middleware that bridges the Wyoming protocol with OpenAI-compatible endpoints for ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) services. It enables Wyoming clients like Home Assistant to use various OpenAI-compatible STT/TTS services.
Development Commands
Testing
# Create and activate a repository virtual environment first
# Install development dependencies
pip install -e ".[dev]"
# Run all tests
pytest
# Run tests with coverage
pytest --cov=wyoming_openai
# Run specific test file
pytest tests/test_handler.py
Code Quality
# Run these commands with the repository virtual environment activated
# Run linting with Ruff
ruff check .
# Auto-fix linting issues
ruff check . --fix
# Run type checking with Pyright
pyright
If the virtual environment can't stay activated between commands (common in agent shells), point Pyright at it explicitly: pyright --pythonpath <venv>/Scripts/python.exe (<venv>/bin/python on Linux/macOS).
Local Development Setup
# Install in editable mode
pip install -e .
# Run the server locally
python -m wyoming_openai --uri tcp://0.0.0.0:10300 --stt-models gpt-transcribe --tts-models gpt-4o-mini-tts
Docker Development
# Build and run development container
docker compose -f docker-compose.yml -f docker-compose.dev.yml up -d --build
# With local services (e.g., Speaches)
docker compose -f docker-compose.speaches.yml -f docker-compose.dev.yml up -d --build
Releases
Releases off main go through the Bump Version GitHub Action
(.github/workflows/bump-version.yml); don't hand-edit the version strings or
create the tag. Dispatch it with gh workflow run bump-version.yml -f bump_type=<patch|minor|major>: it runs the Home Assistant E2E gate, opens a
release-bump PR, and, once merged, the gated Draft Release workflow
creates the draft release. Publishing that draft fires PyPI and Docker
latest. See .agents/skills/bump-version/SKILL.md for the full flow.
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.
- 10d ago Changed · +10 lines · +136 tokens per session cd234d13f651
- 11d ago Changed · +5 lines · +139 tokens per session 8a378a850cfe
- 1mo ago Changed · +4 lines · +22 tokens per session fb38a9ec1b19
- 2mo ago First seen · 104 lines · 799 tokens per session scan A d004b0e6b42d
wyoming_openai AGENTS.md is an instructions file published in the GitHub repository roryeckel/wyoming_openai (225 stars, last pushed 9d ago), licensed Apache-2.0. It adds 1,096 tokens to every session, about $0.0044 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.