claude-relay: Instructions file for Codex

AGENTS.md

claude-relay AGENTS.md is an instructions file for Codex, OpenCode from npow/claude-relay. It costs 849 tokens per session, scanned A, original, MIT.

A local server that lets programs using OpenAI- or Anthropic-compatible APIs send requests through the Claude command-line tool. It runs on your computer and provides a local web address for those clients.

In plain words
What is it for?
Running the relay server, connecting Python SDKs, LangChain, or curl to it, and choosing a Claude model such as Sonnet.
Why use it?
It lets existing tools and code use Claude through familiar API formats, without rewriting them for the Claude command-line interface.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md.

This is npow/claude-relay's own configuration. It tells Codex and OpenCode how to work on claude-relay 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 claude-relay configures →

Reuse

Borrowing it

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

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 849 This file is loaded in full into every session.
When invoked 849 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.00849 $0.00849
Opus 5.5 $0.00340 $0.00340
Sonnet 5.5 $0.00170 $0.00170
Haiku 4.5 $0.00085 $0.00085

Measured 1mo ago against content hash e89653ab69c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claude-relay AGENTS.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**curl:**
AGENTS.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Agent Relay

What this is

Drop-in OpenAI & Anthropic API-compatible server that routes requests through claude -p CLI.

Quick setup

Prerequisites: claude CLI installed and on PATH, Python 3.10+, uv

# Install and run
uvx agent-relay serve

# Or from source
git clone https://github.com/npow/claude-relay.git
cd claude-relay && uv sync && uv run agent-relay serve

Default: http://0.0.0.0:8082. Override with --host / --port.

Configuring clients

OpenAI SDK (Python):

from openai import OpenAI
client = OpenAI(base_url="http://localhost:8082/v1", api_key="unused")
response = client.chat.completions.create(
    model="sonnet", messages=[{"role": "user", "content": "Hello"}], stream=True
)

Anthropic SDK (Python):

from anthropic import Anthropic
client = Anthropic(base_url="http://localhost:8082", api_key="unused")
response = client.messages.create(
    model="sonnet", max_tokens=1024, messages=[{"role": "user", "content": "Hello"}]
)

LangChain:

from langchain_openai import ChatOpenAI
llm = ChatOpenAI(base_url="http://localhost:8082/v1", api_key="unused", model="sonnet")

curl:

curl http://localhost:8082/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"sonnet","messages":[{"role":"user","content":"Hello"}]}'

API endpoints

Method Path Description
GET /health Server + CLI status
GET /v1/models List available models
POST /v1/chat/completions OpenAI-compatible chat
POST /v1/messages Anthropic-compatible messages

All endpoints also available without /v1 prefix (e.g. /models, /chat/completions, /messages).

Models

Model Notes
opus Most capable
sonnet Default if omitted
haiku Fastest

Passed directly to claude --model.

Ignored parameters

These are silently discarded — Claude Code CLI does not expose them:

Read the full file on GitHub · 112 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 First seen · 112 lines · 849 tokens per session scan A e89653ab69c1

Subscribe to this mod's changes

claude-relay AGENTS.md is an instructions file published in the GitHub repository npow/claude-relay (9 stars, last pushed 5mo ago), licensed MIT. It adds 849 tokens to every session, about $0.0034 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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