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.
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.
curl -O https://raw.githubusercontent.com/ogx-ai/ogx/main/AGENTS.mdgit clone --depth 1 https://github.com/ogx-ai/ogxWrote 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/ogx-ai/ogx/agents-md)<a href="https://agentmods.dev/instructions/ogx-ai/ogx/agents-md"><img src="https://agentmods.dev/badge/instructions/ogx-ai/ogx/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/ogx-ai/ogx/agents-md"><img src="https://agentmods.dev/badge/instructions/ogx-ai/ogx/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 | $0.02405 | $0.02405 |
| Opus 5.5 | $0.00962 | $0.00962 |
| Sonnet 5.5 | $0.00481 | $0.00481 |
| Haiku 4.5 | $0.00241 | $0.00241 |
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.
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
uvfor all dependency management and script execution. - Run scripts with
uv run, never barepython3orpython. - 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 inpyproject.tomlfor known exceptions. - Use
def _function_namefor 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 hookBlock f-string loggingenforces this. - The pre-commit hook
Ensure 'ogx.log' usage for loggingenforces that all logging uses the project's logger, not the standard library directly. - Use
httpx2for all HTTP client code. The pre-commit hookBlock direct httpx imports (use httpx2)rejectsimport httpx/from httpx importunless 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).
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.
- 1mo ago Changed · +7 lines · +125 tokens per session 6b9830d22268
- 1mo ago Changed · +2 lines · +41 tokens per session 8316104b75a7
- 2mo ago Changed · +6 lines · +87 tokens per session 02a58526f418
- 2mo ago First seen · 200 lines · 2,152 tokens per session scan A 0de1b537a309
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.
ogx AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ogx AGENTS.mdogx-ai/ogx | Instructions file | 8.5k | yesterday | MIT | A | 2,405 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |