What is otoroshi-llm-extension AGENTS.md?

A project guide for Otoroshi LLM Extension, a Scala project that connects an AI gateway to more than 20 language-model providers. It documents the project layout, build commands, and tests.

Use it when compiling the project, running all or selected tests, running offline tests, or creating its deployable JAR file.

It gives a coding agent the repository-specific instructions needed to build and test the project correctly, including running tests one at a time.

How cloud-apim/otoroshi-llm-extension configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to cloud-apim/otoroshi-llm-extension. 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/cloud-apim/otoroshi-llm-extension/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/cloud-apim/otoroshi-llm-extension

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/cloud-apim/otoroshi-llm-extension/agents-md/github.svg)](https://agentmods.dev/instructions/cloud-apim/otoroshi-llm-extension/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/cloud-apim/otoroshi-llm-extension/agents-md"><img src="https://agentmods.dev/badge/instructions/cloud-apim/otoroshi-llm-extension/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/cloud-apim/otoroshi-llm-extension/agents-md"><img src="https://agentmods.dev/badge/instructions/cloud-apim/otoroshi-llm-extension/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 932 This file is loaded in full into every session.

When invoked 932 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.

Model	Per session	Once invoked
Fable 5.1	$0.00932	$0.00932
Opus 5.5	$0.00373	$0.00373
Sonnet 5.5	$0.00186	$0.00186
Haiku 4.5	$0.00093	$0.00093

Measured 14d ago against content hash a986fa2522b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

otoroshi-llm-extension 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 14d 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 · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.

Project Overview

Otoroshi LLM Extension is a set of Otoroshi plugins for building an AI/LLM gateway. It provides a unified interface to 20+ LLM providers with features like load balancing, fallbacks, semantic caching, guardrails, and budget management.

Requirements: JDK 17+ and Scala 3.8.4

Build Commands

# Compile the project
sbt compile

# Run tests (tests run sequentially, not in parallel)
sbt test

# Run a single test suite
sbt "testOnly com.cloud.apim.otoroshi.extensions.aigateway.ProvidersSuite"

# Run only the suites that do not need a real LLM provider
sh ./scripts/run-offline-tests.sh

# Build fat JAR for deployment
sbt assembly
# Output: target/scala-3.8.4/otoroshi-llm-extension-assembly_3-dev.jar

Architecture

Package Structure

All source code lives under src/main/scala/com/cloud/apim/otoroshi/extensions/aigateway/:

extension.scala - Main entry point (AiExtension), extends Otoroshi's AdminExtension
models.scala - Core chat abstractions (ChatMessage, ChatPrompt, ChatResponse, ChatClient)
providers/ - LLM provider implementations (OpenAI, Anthropic, Azure, Mistral, Groq, etc.)
plugins/ - Otoroshi plugins (LLMProxy, OpenAiCompatibleProxy, rate limiting, audio, images, etc.)
decorators/ - Cross-cutting concerns using decorator pattern (caching, guardrails, memory, costs)
guardrails/ - Validation implementations (LLM-based, regex, moderation, webhook, WASM)
entities/ - Configuration entities stored in Redis (providers, prompts, templates, budgets)
agents/ - Agent implementations for agentic workflows
workflows.scala - Otoroshi workflow function integrations

Key Patterns

Decorator Chain (decorators/decorators.scala): Chat clients are wrapped with decorators for cross-cutting concerns. The chain is applied in ChatClientDecorators.withDecorators():

Model Constraints → 2. Provider Fallback → 3. Persistent Memory → 4. Semantic Cache → 5. Simple Cache → 6. Guardrails → 7. Costs → 8. Auditing

Read the full file on GitHub · 87 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.

14d ago Changed · -2 tokens per session a986fa2522b8
2mo ago First seen · 87 lines · 934 tokens per session scan A c80a2cc1823d

Subscribe to this mod's changes

otoroshi-llm-extension AGENTS.md is an instructions file published in the GitHub repository cloud-apim/otoroshi-llm-extension (19 stars, last pushed 4d ago), licensed Apache-2.0. It adds 932 tokens to every session, about $0.0037 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.

Backend and APIs LLM ai ai-gateway api-gateway mcp otoroshi

otoroshi-llm-extension AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
otoroshi-llm-extension AGENTS.mdcloud-apim/otoroshi-llm-extension	Instructions file	19	4d ago	Apache-2.0	A	932	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

otoroshi-llm-extension: Instructions file for Codex