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Symfony AI - Demo Application

Symfony application demoing Symfony AI components.

Examples

Requirements

What you need to run this demo:

• Internet Connection
• Terminal & Browser
• Git & GitHub Account
• Docker with Docker Compose Plugin
• Your Favorite IDE or Editor
• An OpenAI API Key

Technology

This small demo sits on top of following technologies:

• PHP >= 8.4
• Symfony 8.0 incl. Twig, Asset Mapper & UX
• Bootstrap 5
• OpenAI's GPT & Embeddings
• PostgreSQL with pgvector
• FrankenPHP

Setup

The setup is split into three parts, the Symfony application, the OpenAI configuration, and initializing PostgreSQL.

1. Symfony App

Checkout the repository, start the docker environment and install dependencies:

Now you should be able to open https://localhost:8000/ in your browser, and the chatbot UI should be available for you to start chatting.

[!NOTE] You might have to bypass the security warning of your browser with regard to self-signed certificates.

2. OpenAI Configuration

For using GPT and embedding models from OpenAI, you need to configure an OpenAI API key as environment variable. This requires you to have an OpenAI account, create a valid API key and set it as OPENAI_API_KEY in .env.local file.

Verify the success of this step by running the following command:

You should be able to see the OPENAI_API_KEY in the list of environment variables.

3. PostgreSQL Vector Store Initialization

PostgreSQL with pgvector is used to store embeddings of the chatbot's context.

To initialize the vector store, you need to run the following command:

Now you should be able to retrieve documents from the store:

Don't forget to set up the project in your favorite IDE or editor.

Testing

End-to-End Tests

The e2e suite uses Symfony Panther to click through all ten use cases and assert the Symfony AI panel of the profiler for the very request the click triggered. Every test calls an AI platform for real, which costs money and takes time - the suite is therefore excluded from the default one, and meant to be run locally.

Next to the setup above, it needs:

• Chrome or Chromium with a matching chromedriver, which vendor/bin/bdi detect drivers downloads into drivers/. If only a Snap or Flatpak Chromium is installed, point Panther at it with PANTHER_CHROME_BINARY in .env.test.local.
• API keys in .env.local, or exported in your environment - a test is skipped when the key of its use case is missing: OPENAI_API_KEY for eight of them, HUGGINGFACE_API_KEY for the image cropping, MISTRAL_API_KEY for the document OCR.
• ffmpeg (optional) to convert the audio fixture for the fake microphone of the speech use case.

The blog store does not need to be indexed beforehand: StoreTest drives the indexing pipeline through the console commands, and BlogTest sets the store up and indexes it when it is empty. Both skip themselves when the database is not running.

Panther boots the application in the dev environment, because the profiler - and with it the Symfony AI panel - only collects data with kernel.debug enabled. The web server therefore reads the real API keys from .env.local itself. Chrome fakes camera and microphone, so the video and speech use cases run without a human in front of the screen.

Screenshots of failing tests are written to var/error-screenshots/.

Functionality

• The chatbot application is a simple and small Symfony 8.0 application.
• The UI is coupled to a Twig LiveComponent, that integrates different Chat implementations on top of the user's session.
• You can reset the chat context by hitting the Reset button in the top right corner.
• You find three different usage scenarios in the upper navbar.

MCP

Demo MCP server exposing a current-time tool and a Movies MCP App — an interactive HTML UI (#[AsMcpApp]) that renders the movie collection as a searchable grid in hosts supporting MCP Apps.

To add the server, add the following configuration to your MCP Client's settings, e.g. your IDE:

Testing the MCP Server

You can test the MCP server by running the following command to start the MCP client:

With plain JSON RPC requests

Then, you can initialize the MCP session with the following JSON RPC request:

And, to request the list of available tools:

With MCP Inspector

For testing, you can also use the MCP Inspector:

Which opens a web UI to interactively test the MCP server.

AI Mate - MCP Development Assistant

Symfony AI Mate is an MCP (Model Context Protocol) server that provides AI assistants with Symfony-specific development capabilities.

Installation & Setup

This demo is already configured! For new projects you can set up AI Mate as follows:

MCP Client Configuration

The mcp.json file in the project root enables automatic MCP client detection:

For other projects, add AI Mate to your MCP client settings (e.g., ~/.claude/mcp.json, IDE settings, etc.).

Custom Capability Example

This demo includes a symfony-ai-features tool (see mate/src/SymfonyAiFeaturesTool.php) that analyzes the project's AI configuration and reports all available platforms, agents, tools, stores, and packages.

Try it in your MCP-enabled chat:

"Which Symfony AI features are available in this demo?"

"What AI agents are configured in this project?"

"Show me all the Symfony AI tools and their configuration"

"What is the current PHP version used in this project?"

"Is the php extension intl installed?"

The AI assistant will use the symfony-ai-features and other MCP tool to provide detailed information about project internals.

Creating Custom Tools

Create tools in mate/src/ and register them in mate/config.php. See the AI Mate documentation for detailed guides.

Testing