GoModel: Instructions file for Codex

AGENTS.md

GoModel AGENTS.md is an instructions file for Codex, OpenCode from ENTERPILOT/GoModel. It costs 1,071 tokens per session, scanned A, original, MIT.

Project guidance for GoModel, an AI gateway that sends requests to different AI model providers through one compatible interface.

In plain words
What is it for?
Use it when developing GoModel, adapting request and response formats between providers, choosing defaults, structuring code, writing Conventional Commit messages, and preparing code reviews or pull requests.
Why use it?
It gives contributors shared rules for handling provider differences, keeping code maintainable, and reviewing or committing changes consistently.

Instructions file for CodexOpenCode

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

This is ENTERPILOT/GoModel's own configuration. It tells Codex and OpenCode how to work on GoModel 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 GoModel configures →

About the project

GoModel is an AI gateway, or proxy, that gives applications one API interface for sending requests to multiple large-language-model providers. It is used to route, cache, monitor, secure, and track the cost of AI requests across providers such as OpenAI, Anthropic, Gemini, Groq, xAI, Ollama, and vLLM. The catalogue add-ons operate GoModel through its available interfaces.

ENTERPILOT/GoModel · 1,302 stars · on GitHub · gomodel.enterpilot.io

Reuse

Borrowing it

Nothing to install: this file belongs to ENTERPILOT/GoModel. 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/ENTERPILOT/GoModel/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ENTERPILOT/GoModel

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,071 This file is loaded in full into every session.
When invoked 1,071 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 $0.01071 $0.01071
Opus 5.5 $0.00428 $0.00428
Sonnet 5.5 $0.00214 $0.00214
Haiku 4.5 $0.00107 $0.00107

Measured 8d ago against content hash b17dcc5b6966, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

GoModel 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 8d 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 · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This project is GoModel - a high-performance, lightweight AI gateway that routes requests to multiple AI model providers through an OpenAI-compatible API.

Core Principles

Follow Postel’s Law

Accept user requests generously, adapt them to each provider’s requirements, and return conservative OpenAI-compatible responses.

Examples:

  • Accept max_tokens from users even when a provider expects another field.
  • Translate max_tokens to max_completion_tokens for OpenAI reasoning models when required.
  • Normalize provider responses into an OpenAI-compatible shape.

Follow The Twelve-Factor App

Prefer production-friendly service design:

  • Configuration through environment variables.
  • Stateless request handling.
  • Clear separation between configuration, routing, provider adapters, and runtime behavior.
  • Useful logs for containers and cloud environments.

Reference: https://12factor.net/

Keep It Simple

Keep files small.

Prefer explicit, maintainable code over clever abstractions.

Do not add abstractions until a repeated pattern clearly justifies them.

Use Good Defaults

Defaults should fit most users so well that they rarely need to change them.

When adding configuration:

  • Choose a safe, practical default.
  • Avoid requiring configuration for common use cases.
  • Document when and why users should override the default.

Implementation Guidance

When changing provider behavior:

  • Preserve the OpenAI-compatible public API.
  • Keep provider-specific logic isolated.
  • Avoid leaking provider-specific quirks into user-facing behavior.
  • Never expose API keys, authorization headers, or secrets in errors or logs.

When editing code:

  • Make the smallest change that solves the problem.
  • Use idiomatic Go.
  • Prefer clear names, small interfaces, simple structs, and table-driven tests.
  • Avoid hidden global state, unnecessary reflection, and premature optimization.
  • Add or update tests for behavior changes.

Tests should cover request translation, response normalization, error handling, default configuration, and provider-specific parameter mapping.

Read the full file on GitHub · 127 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. 8d ago Changed · +4 lines · +105 tokens per session b17dcc5b6966
  2. 1mo ago Changed · +34 tokens per session d9fe3b8e0a17
  3. 1mo ago Changed · +7 lines · +163 tokens per session b92236d3179c
  4. 1mo ago Changed · +75 lines · +384 tokens per session a72bfc8705ef
  5. 2mo ago First seen · 41 lines · 385 tokens per session scan A 81e57766fd6c

Subscribe to this mod's changes

GoModel AGENTS.md is an instructions file published in the GitHub repository ENTERPILOT/GoModel (1,302 stars, last pushed yesterday), licensed MIT. It adds 1,071 tokens to every session, about $0.0043 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.

Related

GoModel AGENTS.md compared with instructions from other repositories

GoModel AGENTS.md next to 6 instructions from other repositories
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