temporal-ai-agent: Instructions file for Codex

AGENTS.md

temporal-ai-agent AGENTS.md is an instructions file for Codex, OpenCode from temporal-community/temporal-ai-agent. It costs 1,790 tokens per session, scanned A, original, MIT.

Contribution instructions for a Temporal AI Agent project, including its code layout, setup, services, and tests.

In plain words
What is it for?
They are for understanding where workflows, tools, models, prompts, APIs, the frontend, and tests live, and for starting the project with Docker.
Why use it?
They give contributors the project context and commands needed to run and change the application safely.

Instructions file for CodexOpenCode

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

This is temporal-community/temporal-ai-agent's own configuration. It tells Codex and OpenCode how to work on temporal-ai-agent 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 temporal-ai-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to temporal-community/temporal-ai-agent. 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/temporal-community/temporal-ai-agent/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/temporal-community/temporal-ai-agent

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,790 This file is loaded in full into every session.
When invoked 1,790 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 $0.01790 $0.01790
Opus 5.5 $0.00716 $0.00716
Sonnet 5.5 $0.00358 $0.00358
Haiku 4.5 $0.00179 $0.00179

Measured 2mo ago against content hash 7d583e37b66d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

temporal-ai-agent 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 · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Temporal AI Agent Contribution Guide

Repository Layout

  • workflows/ - Temporal workflows including the main AgentGoalWorkflow for multi-turn AI conversations
  • activities/ - Temporal activities for tool execution and LLM interactions
  • tools/ - Native AI agent tool implementations organized by category (finance, HR, ecommerce, travel, etc.)
  • goals/ - Agent goal definitions organized by category, supporting both native and MCP tools
  • shared/ - Shared configuration including MCP server definitions
  • models/ - Data types and tool definitions used throughout the system
  • prompts/ - Agent prompt generators and templates
  • api/ - FastAPI server that exposes REST endpoints to interact with workflows
  • frontend/ - React-based web UI for chatting with the AI agent
  • tests/ - Comprehensive test suite for workflows and activities using Temporal's testing framework
  • enterprise/ - .NET worker implementation for enterprise activities (train booking)
  • scripts/ - Utility scripts for running workers and testing tools

Running the Application

Quick Start with Docker

# Start all services with development hot-reload
docker compose up -d

# Quick rebuild without infrastructure
docker compose up -d --no-deps --build api worker frontend

Default URLs:

Local Development Setup

  1. Prerequisites:

    # Install uv and Temporal server (MacOS)
    brew install uv
    brew install temporal
    
    temporal server start-dev
    
  2. Backend (Python):

    # Quick setup using Makefile
    make setup              # Creates venv and installs dependencies
    make run-worker         # Starts the Temporal worker
    make run-api            # Starts the API server
    
    # Or manually:
    uv sync
    uv run scripts/run_worker.py    # In one terminal
    uv run uvicorn api.main:app --reload   # In another terminal
    
  3. Frontend (React):

    make run-frontend       # Using Makefile
    
    # Or manually:
    cd frontend
    npm install
    npx vite
    

Read the full file on GitHub · 200 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 · 200 lines · 1,790 tokens per session scan A 7d583e37b66d

Subscribe to this mod's changes

temporal-ai-agent AGENTS.md is an instructions file published in the GitHub repository temporal-community/temporal-ai-agent (790 stars, last pushed 7mo ago), licensed MIT. It adds 1,790 tokens to every session, about $0.0072 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.

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