ogx: Instructions file for Codex

AGENTS.md

ogx AGENTS.md is an instructions file for Codex, OpenCode from ogx-ai/ogx. It costs 2,405 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

Written for Codex and OpenCode: the file is AGENTS.md.

This is ogx-ai/ogx's own configuration. It tells Codex and OpenCode how to work on ogx itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ogx configures →

About the project

OGX is an open-source API server for building AI applications, offering OpenAI-compatible interfaces while allowing applications to use different models and infrastructure. It is used by developers who want chat, embeddings, agent orchestration, tool calling, file search, and related services behind a common API.

ogx-ai/ogx · 8,455 stars · on GitHub · ogx-ai.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to ogx-ai/ogx. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ogx-ai/ogx/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ogx-ai/ogx

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 2,405 This file is loaded in full into every session.
When invoked 2,405 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.02405 $0.02405
Opus 5.5 $0.00962 $0.00962
Sonnet 5.5 $0.00481 $0.00481
Haiku 4.5 $0.00241 $0.00241

Measured 1mo ago against content hash 6b9830d22268, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

AGENTS.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 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.
  • Use httpx2 for all HTTP client code. The pre-commit hook Block direct httpx imports (use httpx2) rejects import httpx / from httpx import unless the line is marked # allow-direct-httpx. The marked exceptions are deliberate boundaries: the google-genai client option (vertexai/utils.py), the mcp 1.x SDK (utils/tools/mcp.py), the generated client-SDK boundary (library_client.py, api_recorder.py), and the dual exception mapping (core/exceptions/mapping.py).

Read the full file on GitHub · 215 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. 1mo ago Changed · +7 lines · +125 tokens per session 6b9830d22268
  2. 1mo ago Changed · +2 lines · +41 tokens per session 8316104b75a7
  3. 2mo ago Changed · +6 lines · +87 tokens per session 02a58526f418
  4. 2mo 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 (8,455 stars, last pushed yesterday), licensed MIT. It adds 2,405 tokens to every session, about $0.0096 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.

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