full-stack-ai-agent-template: Instructions file for Codex

AGENTS.md

full-stack-ai-agent-template AGENTS.md is an instructions file for Codex, OpenCode from vstorm-co/full-stack-ai-agent-template. It costs 985 tokens per session, scanned A, original, MIT.

Repository instructions for a command-line tool that creates full-stack applications with a FastAPI backend and Next.js frontend, including optional AI and data-search components.

In plain words
What is it for?
Use them when developing the generator, running its checks, or creating projects with selected databases, AI frameworks, search stores, or task queues.
Why use it?
They document the available project choices and the commands for installing, testing, checking, and generating applications.

Instructions file for CodexOpenCode

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

This is vstorm-co/full-stack-ai-agent-template's own configuration. It tells Codex and OpenCode how to work on full-stack-ai-agent-template 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 full-stack-ai-agent-template configures →

About the project

Full-Stack AI Agent Template generates full-stack AI applications with a FastAPI backend and Next.js frontend, including agents, retrieval-augmented generation, streaming, authentication, and integrations. It is for building AI products with features such as chat, conversation sharing, administration, and multiple agent or vector-database choices. Catalogue add-ons support the generated applications and their agent workflows.

vstorm-co/full-stack-ai-agent-template · 1,958 stars · on GitHub · vstorm-co.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to vstorm-co/full-stack-ai-agent-template. 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/vstorm-co/full-stack-ai-agent-template/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/vstorm-co/full-stack-ai-agent-template

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/instructions/vstorm-co/full-stack-ai-agent-template/agents-md"><img src="https://agentmods.dev/badge/instructions/vstorm-co/full-stack-ai-agent-template/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 985 This file is loaded in full into every session.
When invoked 985 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 $0.00985 $0.00985
Opus 5.5 $0.00394 $0.00394
Sonnet 5.5 $0.00197 $0.00197
Haiku 4.5 $0.00098 $0.00098

Measured 20d ago against content hash e8b0154fcb80, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

full-stack-ai-agent-template 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 20d 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 · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents (Codex, Copilot, Cursor, Zed, OpenCode) working with this repository.

Project Overview

Full-Stack AI Agent Template — CLI tool that generates production-ready FastAPI + Next.js projects with AI agents (5 frameworks), RAG (4 vector stores), and 20+ enterprise integrations.

Commands

uv sync                    # Install dependencies
uv run pytest              # Run tests
uv run ruff check . --fix  # Lint
uv run ruff format .       # Format
uv run ty check            # Type check

CLI

fastapi-fullstack                                  # Interactive wizard (default)
fastapi-fullstack create my_app --database postgresql
fastapi-fullstack create my_app --rag --task-queue celery
fastapi-fullstack templates                        # List all options

Generated project CLI includes sync source commands:

uv run <project_slug> cmd rag-sources              # List configured sources
uv run <project_slug> cmd rag-source-add           # Add a new source
uv run <project_slug> cmd rag-source-sync          # Trigger sync for a source

Architecture

Module Purpose
fastapi_gen/cli.py Click CLI: new, create, templates
fastapi_gen/config.py Pydantic models, enums, validation, cookiecutter context
fastapi_gen/prompts.py Interactive prompts (Questionary)
fastapi_gen/generator.py Cookiecutter invocation

Template (template/)

template/
├── cookiecutter.json            # ~120 variables
├── hooks/post_gen_project.py    # Cleanup & formatting
└── {{cookiecutter.project_slug}}/
    ├── backend/app/             # FastAPI (agents, rag, services, repos)
    └── frontend/                # Next.js 15 (optional)

Jinja2 conditionals: {%- if cookiecutter.enable_rag %}...{%- endif %}

Key Features

  • 5 AI Frameworks: Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph, DeepAgents
  • 5 LLM Providers: OpenAI, Anthropic, Google Gemini, OpenRouter, OpenAI-compatible endpoints
  • RAG: 4 vector stores (Milvus, Qdrant, ChromaDB, pgvector), 4 embedding providers, reranking, image description
  • Document Sources: Local files (CLI), API upload, Google Drive (service account), S3/MinIO
  • Sync Sources: Configurable connectors (Google Drive, S3) with scheduled sync
  • PDF Parsers: PyMuPDF, LiteParse, LlamaParse (runtime selection via env var)
  • Observability: Logfire (Pydantic AI), LangSmith (LangChain/LangGraph/DeepAgents)

Read the full file on GitHub · 99 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. 20d ago Changed · +5 tokens per session e8b0154fcb80
  2. 21d ago Changed · +1 tokens per session 726f22ed4b27
  3. 1mo ago First seen · 99 lines · 979 tokens per session scan A 4420a31bca74

Subscribe to this mod's changes

full-stack-ai-agent-template AGENTS.md is an instructions file published in the GitHub repository vstorm-co/full-stack-ai-agent-template (1,958 stars, last pushed 2d ago), licensed MIT. It adds 985 tokens to every session, about $0.0039 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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