agentmods.dev

ODAI: Instructions file for Codex

AGENTS.md

ODAI AGENTS.md is an instructions file for Codex, OpenCode from sibblegp/ODAI. It costs 2,722 tokens per session, scanned A, original, MIT.

Documentation for ODAI, a FastAPI-based AI assistant platform that sends each request from a central coordinator to specialized agents and services. FastAPI is a Python framework for building web APIs, and WebSocket is a connection that supports ongoing two-way communication.

In plain words
What is it for?
Guiding agents that work on ODAI's API, WebSocket communication, orchestrators, service layer, Firebase integration, and agent handoffs.
Why use it?
It explains how requests, voice interactions, authentication, chat history, location services, and specialized agents fit together.

Instructions file for CodexOpenCode

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

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

not rated 21repo 1y ago A scan 2,722 tokens original MIT
View source ↗ sibblegp/ODAI
Reuse

Borrowing it

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

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.

agentmods badge for ODAI AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/sibblegp/odai/agents-md/github.svg)](https://agentmods.dev/instructions/sibblegp/odai/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/sibblegp/odai/agents-md"><img src="https://agentmods.dev/badge/instructions/sibblegp/odai/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.

agentmods 80×15 button for ODAI AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/sibblegp/odai/agents-md"><img src="https://agentmods.dev/badge/instructions/sibblegp/odai/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,722 This file is loaded in full into every session.
When invoked 2,722 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 $0.02722 $0.02722
Opus 5.5 $0.01089 $0.01089
Sonnet 5.5 $0.00544 $0.00544
Haiku 4.5 $0.00272 $0.00272

Measured 2mo ago against content hash d8915ed360b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ODAI 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 2mo 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 · 365 lines

How it starts

The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ODAI AI Assistant Agents Documentation

Overview

ODAI (ODAI AI Assistant) is a comprehensive AI assistant platform built on FastAPI that orchestrates multiple specialized agents to handle diverse user requests. The system uses OpenAI's Agent framework with a hub-and-spoke architecture where a central orchestrator routes requests to specialized agents.

Architecture

Core Components

  1. Main Application (api.py): FastAPI application with WebSocket support
  2. Orchestrator (connectors/orchestrator.py): Central agent that routes requests
  3. Voice Orchestrator (connectors/voice_orchestrator.py): Specialized for voice interactions
  4. Individual Agents: Specialized tools for specific services and APIs
  5. Services Layer: Authentication, chat management, location services
  6. Firebase Integration: User management, chat history, token tracking

Agent Communication Flow

User Request → WebSocket → Orchestrator → Specialized Agent(s) → Response → User

The orchestrator uses the H.A.N.D.O.F.F. decision framework:

  • Has capability: Does the agent solve this task?
  • Access: Does it have the right data/API permissions?
  • Novelty/Need: Is a tool call necessary vs. known info?
  • Delay/Cost: Prefer fewer/cheaper calls if quality unaffected
  • Output quality: Will it return the needed format/info?
  • Failure fallback: Choose alternates if first likely fails
  • Fusion: Orchestrate multiple agents and merge results

Agent Categories

1. Communication & Productivity

  • GMail Agent: Email management (send, receive, search, reply)
  • Google Calendar Agent: Event scheduling and calendar management
  • Google Docs Agent: Document creation, search, and collaboration
  • Slack Agent: Team communication integration
  • Twilio Assistant: Voice and SMS capabilities

2. Information & Search

  • Google Search Agent: Web search functionality
  • Google News Agent: News headlines and stories
  • Fetch Website Agent: Website content extraction
  • Google Shopping Agent: Product search and price comparison

Read the full file on GitHub · 365 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. 2mo ago First seen · 365 lines · 2,722 tokens per session scan A d8915ed360b3

Subscribe to this mod's changes

ODAI AGENTS.md is an instructions file published in the GitHub repository sibblegp/ODAI (21 stars, last pushed 1y ago), licensed MIT. It adds 2,722 tokens to every session, about $0.0109 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

ODAI AGENTS.md compared with instructions from other repositories

ODAI AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ODAI AGENTS.mdsibblegp/ODAIInstructions file211y agoMITA2,722Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA2,022GitHub Copilot