Symfony AI Demo is a Symfony application that demonstrates AI components through a chatbot using OpenAI language and embedding models, with PostgreSQL and pgvector storing contextual embeddings. Developers use it to explore a Symfony-based AI application and its setup.
Borrowing it
Nothing to install: this file belongs to symfony/ai-demo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/symfony/ai-demo/main/AGENTS.mdgit clone --depth 1 https://github.com/symfony/ai-demoWrote 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.
[](https://agentmods.dev/instructions/symfony/ai-demo/agents-md)<a href="https://agentmods.dev/instructions/symfony/ai-demo/agents-md"><img src="https://agentmods.dev/badge/instructions/symfony/ai-demo/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.
<a href="https://agentmods.dev/instructions/symfony/ai-demo/agents-md"><img src="https://agentmods.dev/badge/instructions/symfony/ai-demo/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02039 | $0.02039 |
| Opus 5.5 | $0.00816 | $0.00816 |
| Sonnet 5.5 | $0.00408 | $0.00408 |
| Haiku 4.5 | $0.00204 | $0.00204 |
Grade A, and why
ai-demo 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
AI agent guidance for the Symfony AI demo application.
Project Overview
Symfony 8.0 demo application showcasing the Symfony AI components: RAG over the Symfony blog, streaming chat, multi-agent orchestration, voice/speech, image cropping, webcam video captioning, YouTube transcript Q&A, Wikipedia-grounded answers, a chat drawing its tools from remote MCP servers, a demo MCP server, and the AI Mate development CLI.
Development Commands
Setup
docker compose up -d # Start PostgreSQL (pgvector)
composer install
echo "OPENAI_API_KEY='sk-...'" > .env.local # HUGGINGFACE_API_KEY only if you wire HF agents
# Vector store must be set up before indexing
symfony console ai:store:setup ai.store.postgres.symfony_blog
symfony console ai:store:index blog -vv
symfony console ai:store:retrieve blog "Week of Symfony"
symfony serve -d # https://localhost:8000/
Testing and Quality
vendor/bin/phpunit # All tests (config in phpunit.xml)
vendor/bin/phpunit tests/SmokeTest.php # Single test file
vendor/bin/phpunit --testsuite e2e # Panther browser tests, local only (see README.md)
vendor/bin/phpstan analyse # Static analysis (phpstan.dist.neon)
# There is no enforced formatter in this package — php-cs-fixer is configured at the monorepo root.
The e2e suite drives all eleven use cases in a real browser and asserts the Symfony AI panel of the
profiler (platform calls, tools, tool calls, token usage). It runs the app in the dev environment,
calls the AI platforms for real, and is excluded from the default suite — never add it to CI.
MCP
src/Mcp/ holds both sides of MCP, and config/packages/mcp.yaml configures both.
- Demo MCP server (
mcp.servers.demo):symfony console mcp:serverexposes tools/prompts/resources/resource-templates fromsrc/Mcp/Tools/,src/Mcp/Prompts/andsrc/Mcp/Resources/. Start it manually when demoing. Test with{"method":"tools/list","jsonrpc":"2.0","id":1}. - MCP client (
mcp.clients.remotes): three public, key-less servers -livescore(football),transit(NYC subway) andweather. Themcpagent lists them asmcp_servertools, so it has no local tools at all.symfony console debug:mcp --client=remotes --server=<name>connects and prints what one advertises. livescoreonly speaks the legacy HTTP+SSE transport, which the SDK'sHttpTransportdoes not implement, so it is configured as astdiochild process runningnpx -y mcp-remote. Needs Node.js.
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.
- 1mo ago Changed · +3 lines · +229 tokens per session fe738ac9f5a3
- 1mo ago First seen · 97 lines · 1,810 tokens per session scan A 85901bf86e5d
ai-demo AGENTS.md is an instructions file published in the GitHub repository symfony/ai-demo (48 stars, last pushed 2d ago), licensed MIT. It adds 2,039 tokens to every session, about $0.0082 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.