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Vendor johannes85
Package ai-bundle
Short Description Adds AI support to Symfony. Allows easy calling of LLMs like Ollama, OpenAI, GoogleAI, MistralAI, Anthropic, DeepSeek. It also adds an MCP server and client.
License MIT

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Informations about the package ai-bundle

Symfony AI Bundle

This PHP Symfony bundle allows to call LLM backends like OpenAI, Ollama etc. in a generic and simple way.

It also provides an MCP client and server with tool calling capabilities. This allows you to easily expose your Symfony services as MCP tools or call MCP tools provided by an MCP server.

The following backends are supported:

Backend	Text generation	Image processing	Tool calling	MCP Tool calling	Info
OpenAI	✅	✅	✅	✅	https://openai.com/
Ollama	✅	✅	✅*1	✅	https://ollama.ai/
GoogleAI	✅	✅	✅	✅	https://ai.google.dev
Anthropic	✅	✅	✅	✅	https://www.anthropic.com/
Mistral AI	✅	✅	✅	✅	https://mistral.ai/
DeepSeek	✅	❌	✅	✅	https://www.deepseek.com/

The OpenAI endpoint URL can be changed so it is possible to access different backends with an OpenAI compatible API. But be aware that not all features are supported by all backends.
=> Feedack regarding the compatibility of the different backends is welcome.

*1: Tool choice settings other than ToolChoice::AUTO aren't supported by Ollama.

Requirements

PHP >=8.2

Features

Backend independent generating:

Image processing:

Persistent message history:

See example:

The following store backends are supported:

PSR-6 compatible file cache:

Support for structured responses with deserialization in an object instance:

More information about how to define the schema of the response data type can be found in the Schema Generator documentation.

Tool calling support

More information about how to define the schema of the tool callback function be found in the Schema Generator documentation.

MCP tool calling

Calling tools provided by an MCP server via the stdio and Streamable HTTP transport is supported.

See the MCP Client documentation for more information.

MCP server

The MCP server allows to expose service methods as MCP tools via Streamable HTTP transport. It can be used to create a custom MCP server that can be called by LLMs or other clients.

See the MCP Server documentation for more information.

Usage

Configure LLM backend instances

To use a specific backend as a service, it has to be registered in the bundle config:

In this example, the following services will be registered:

ai_bundle.llm.open_ai
ai_bundle.llm.open_ai.o3mini
ai_bundle.llm.google_ai
ai_bundle.llm.mistral_ai
ai_bundle.llm.anthropic
ai_bundle.llm.ollama
ai_bundle.llm.deep_seek

When configuring the "default" instance of a llm, in addition to the ID, the class itself (e.g. AiBundle\LLM\OpenAi\OpenAi) will be registered as a service.

Execute standalone examples

This bundle provides standalone examples of the features provided. They can be executed by a central console command similar to the Symfony console:

You can get a list of available examples by executing:

The llm backend to use can be set via the option. The following values are supported:

ollama (default)
open_ai
google_ai
anthropic
mistral_ai
deep_seek

Before using the examples, you have to set the api key for the corresponding backend as an environment variable:

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Version v4.0.0 Release 12. Aug 2025
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Requires php Version >=8.2
symfony/serializer Version ^7.0
symfony/property-info Version ^7.0
symfony/http-client Version ^7.0
phpdocumentor/reflection-docblock Version ^5.2
symfony/property-access Version ^7.0
symfony/uid Version ^7.0
symfony/process Version ^7.2

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