ogx AGENTS.md

ogx AGENTS.md is an instructions file for Codex, OpenCode from ogx-ai/ogx. It costs 2,239 tokens per session, scanned A, original, MIT.

Repository instructions for OGX, an API server that provides OpenAI-compatible APIs and connects to several AI model providers.

In plain words
What is it for?
Use them when an agent works on OGX source code, provider adapters, API definitions, server components, tests, or development tools.
Why use it?
They explain the project's layout, supported integrations, and coding conventions so changes fit the existing codebase.

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/ogx-ai/ogx/agents-md
Clone the repo
git clone --depth 1 https://github.com/ogx-ai/ogx

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for ogx AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ogx-ai/ogx/agents-md.svg)](https://agentmods.dev/instructions/ogx-ai/ogx/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ogx-ai/ogx/agents-md"><img src="https://agentmods.dev/badge/instructions/ogx-ai/ogx/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,239 This file is loaded in full into every session.
When invoked 2,239 The same file — it is already loaded in full.
Security scan A 0 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 $0.02239 $0.02239
Opus 5 $0.01120 $0.01120
Sonnet 5 $0.00448 $0.00448
Haiku 4.5 $0.00224 $0.00224

Measured today against content hash 02a58526f418, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ogx 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 today.

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.

AGENTS.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guidelines for OGX

This file provides guidance for AI coding agents working on this codebase. It complements CONTRIBUTING.md with agent-specific instructions. Human contributors should follow the conventions in CONTRIBUTING.md.

Project Overview

OGX is an API server implementing the OpenAI Responses API, Chat Completions, Embeddings, and supporting APIs (files, vector stores, batches, eval, and responses guardrails). It supports multiple inference backends (OpenAI, Azure, Bedrock, vLLM, Ollama, WatsonX, etc.) through a provider architecture.

Repository Layout

src/ogx/              # Server implementation
  core/                       # Request routing, server, storage
  providers/
    inline/                   # Built-in providers (responses, eval, vector_io, etc.)
    remote/                   # Remote provider adapters (OpenAI, Azure, vLLM, etc.)
    registry/                 # Provider registration specs
    utils/                    # Shared provider utilities (OpenAI mixin, MCP, etc.)
  distributions/              # Distribution configs (starter, ci-tests, etc.)
src/ogx_api/          # API definitions, Pydantic models, FastAPI routes
tests/
  unit/                       # Unit tests
  integration/                # Integration tests with recording/replay system

Python & Tooling

  • Python 3.12 is required. Pre-commit hooks only work with 3.12.
  • Use uv for all dependency management and script execution.
  • Run scripts with uv run, never bare python3 or python.
  • Use standard library modules when possible.
  • All function signatures must have type hints. Prefer Pydantic models for validation.
  • Code must pass mypy. Check the exclude list in pyproject.toml for known exceptions.
  • Use def _function_name for private functions.
  • Prefer explicit top-level imports over inline imports.
  • Do not use exceptions as control flow.

Code Style

  • Comments must add value. Do not write filler comments that describe the next line.
  • Add comments only to clarify surprising behavior that is not obvious from the code.
  • Good variable naming and clear code organization matters more than comments.
  • Do NOT remove existing comments unless they are factually wrong.
  • Error messages must be prefixed with "Failed to ...".
  • Use structured logging via from ogx.log import get_logger. Always use key-value style: logger.info("Processing request", model=model_id, provider=provider) instead of f-strings or %-style formatting. The pre-commit hook Block f-string logging enforces this.
  • The pre-commit hook Ensure 'ogx.log' usage for logging enforces that all logging uses the project's logger, not the standard library directly.

Read the full file on GitHub · 206 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. today Changed · +6 lines · +87 tokens per session 02a58526f418
  2. 4d ago First seen · 200 lines · 2,152 tokens per session scan A 0de1b537a309

Subscribe to this mod's changes

ogx AGENTS.md is an instructions file published in the GitHub repository ogx-ai/ogx (8,424 stars, last pushed today), licensed MIT. It adds 2,239 tokens to every session, about $0.0112 per session on Opus 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.

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