symfony · chr-hertel · Oct 24, 2025 · Oct 21, 2025
diff --git a/docs/bundles/ai-bundle.rst b/docs/bundles/ai-bundle.rst
@@ -67,7 +67,6 @@ Advanced Example with Multiple Agents
         agent:
             rag:
                 platform: 'ai.platform.azure.gpt_deployment'
-                structured_output: false # Disables support for "output_structure" option, default is true
                 track_token_usage: true # Enable tracking of token usage for the agent, default is true
                 model: 'gpt-4o-mini'
                 memory: 'You have access to conversation history and user preferences' # Optional: static memory content
@@ -513,11 +512,6 @@ Configuration
                 # Fallback agent for unmatched requests (required)
                 fallback: 'general'
 
-.. important::
-
-    The orchestrator agent MUST have ``structured_output: true`` (the default) to work correctly.
-    The multi-agent system uses structured output to reliably parse agent selection decisions.
-
 Each multi-agent configuration automatically registers a service with the ID pattern ``ai.multi_agent.{name}``.
 
 For the example above, the service ``ai.multi_agent.support`` is registered and can be injected::

diff --git a/docs/components/agent.rst b/docs/components/agent.rst
@@ -483,80 +483,6 @@ Code Examples
 * `RAG with MongoDB`_
 * `RAG with Pinecone`_
 
-Structured Output
------------------
-
-A typical use-case of LLMs is to classify and extract data from unstructured sources, which is supported by some models
-by features like Structured Output or providing a Response Format.
-
-PHP Classes as Output
-~~~~~~~~~~~~~~~~~~~~~
-
-Symfony AI supports that use-case by abstracting the hustle of defining and providing schemas to the LLM and converting
-the result back to PHP objects.
-
-To achieve this, a specific agent processor needs to be registered::
-
-    use Symfony\AI\Agent\Agent;
-    use Symfony\AI\Agent\StructuredOutput\AgentProcessor;
-    use Symfony\AI\Agent\StructuredOutput\ResponseFormatFactory;
-    use Symfony\AI\Fixtures\StructuredOutput\MathReasoning;
-    use Symfony\AI\Platform\Message\Message;
-    use Symfony\AI\Platform\Message\MessageBag;
-    use Symfony\Component\Serializer\Encoder\JsonEncoder;
-    use Symfony\Component\Serializer\Normalizer\ObjectNormalizer;
-    use Symfony\Component\Serializer\Serializer;
-
-    // Initialize Platform and LLM
-
-    $serializer = new Serializer([new ObjectNormalizer()], [new JsonEncoder()]);
-    $processor = new AgentProcessor(new ResponseFormatFactory(), $serializer);
-    $agent = new Agent($platform, $model, [$processor], [$processor]);
-
-    $messages = new MessageBag(
-        Message::forSystem('You are a helpful math tutor. Guide the user through the solution step by step.'),
-        Message::ofUser('how can I solve 8x + 7 = -23'),
-    );
-    $result = $agent->call($messages, ['output_structure' => MathReasoning::class]);
-
-    dump($result->getContent()); // returns an instance of `MathReasoning` class
-
-Array Structures as Output
-~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-Also PHP array structures as response_format are supported, which also requires the agent processor mentioned above::
-
-    use Symfony\AI\Platform\Message\Message;
-    use Symfony\AI\Platform\Message\MessageBag;
-
-    // Initialize Platform, LLM and agent with processors and Clock tool
-
-    $messages = new MessageBag(Message::ofUser('What date and time is it?'));
-    $result = $agent->call($messages, ['response_format' => [
-        'type' => 'json_schema',
-        'json_schema' => [
-            'name' => 'clock',
-            'strict' => true,
-            'schema' => [
-                'type' => 'object',
-                'properties' => [
-                    'date' => ['type' => 'string', 'description' => 'The current date in the format YYYY-MM-DD.'],
-                    'time' => ['type' => 'string', 'description' => 'The current time in the format HH:MM:SS.'],
-                ],
-                'required' => ['date', 'time'],
-                'additionalProperties' => false,
-            ],
-        ],
-    ]]);
-
-    dump($result->getContent()); // returns an array
-
-Code Examples
-~~~~~~~~~~~~~
-
-* `Structured Output with PHP class`_
-* `Structured Output with array`_
-
 Input & Output Processing
 -------------------------
 
@@ -825,7 +751,5 @@ Code Examples
 .. _`Store Component`: https://github.com/symfony/ai-store
 .. _`RAG with MongoDB`: https://github.com/symfony/ai/blob/main/examples/rag/mongodb.php
 .. _`RAG with Pinecone`: https://github.com/symfony/ai/blob/main/examples/rag/pinecone.php
-.. _`Structured Output with PHP class`: https://github.com/symfony/ai/blob/main/examples/openai/structured-output-math.php
-.. _`Structured Output with array`: https://github.com/symfony/ai/blob/main/examples/openai/structured-output-clock.php
 .. _`Chat with static memory`: https://github.com/symfony/ai/blob/main/examples/memory/static.php
 .. _`Chat with embedding search memory`: https://github.com/symfony/ai/blob/main/examples/memory/mariadb.php
diff --git a/docs/components/platform.rst b/docs/components/platform.rst
@@ -278,6 +278,76 @@ Code Examples
 * `Embeddings with Voyage`_
 * `Embeddings with Mistral`_
 
+Structured Output
+-----------------
+
+A typical use-case of LLMs is to classify and extract data from unstructured sources, which is supported by some models
+by features like Structured Output or providing a Response Format.
+
+PHP Classes as Output
+~~~~~~~~~~~~~~~~~~~~~
+
+Symfony AI supports that use-case by abstracting the hustle of defining and providing schemas to the LLM and converting
+the result back to PHP objects.
+
+To achieve this, the ``Symfony\AI\Platform\StructuredOutput\PlatformSubscriber`` needs to be registered with the platform::
+
+    use Symfony\AI\Fixtures\StructuredOutput\MathReasoning;
+    use Symfony\AI\Platform\Bridge\Mistral\PlatformFactory;
+    use Symfony\AI\Platform\Message\Message;
+    use Symfony\AI\Platform\Message\MessageBag;
+    use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
+    use Symfony\Component\EventDispatcher\EventDispatcher;
+
+    $dispatcher = new EventDispatcher();
+    $dispatcher->addSubscriber(new PlatformSubscriber());
+
+    $platform = PlatformFactory::create($apiKey, eventDispatcher: $dispatcher);
+    $messages = new MessageBag(
+        Message::forSystem('You are a helpful math tutor. Guide the user through the solution step by step.'),
+        Message::ofUser('how can I solve 8x + 7 = -23'),
+    );
+    $result = $platform->invoke('mistral-small-latest', $messages, ['output_structure' => MathReasoning::class]);
+
+    dump($result->asObject()); // returns an instance of `MathReasoning` class
+
+Array Structures as Output
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Also PHP array structures as response_format are supported, which also requires the event subscriber mentioned above. On
+top this example uses the feature through the agent to leverage tool calling::
+
+    use Symfony\AI\Platform\Message\Message;
+    use Symfony\AI\Platform\Message\MessageBag;
+
+    // Initialize Platform, LLM and agent with processors and Clock tool
+
+    $messages = new MessageBag(Message::ofUser('What date and time is it?'));
+    $result = $agent->call($messages, ['response_format' => [
+        'type' => 'json_schema',
+        'json_schema' => [
+            'name' => 'clock',
+            'strict' => true,
+            'schema' => [
+                'type' => 'object',
+                'properties' => [
+                    'date' => ['type' => 'string', 'description' => 'The current date in the format YYYY-MM-DD.'],
+                    'time' => ['type' => 'string', 'description' => 'The current time in the format HH:MM:SS.'],
+                ],
+                'required' => ['date', 'time'],
+                'additionalProperties' => false,
+            ],
+        ],
+    ]]);
+
+    dump($result->getContent()); // returns an array
+
+Code Examples
+~~~~~~~~~~~~~
+
+* `Structured Output with PHP class`_
+* `Structured Output with array`_
+
 Server Tools
 ------------
 
@@ -426,6 +496,8 @@ Code Examples
 .. _`Embeddings with OpenAI`: https://github.com/symfony/ai/blob/main/examples/openai/embeddings.php
 .. _`Embeddings with Voyage`: https://github.com/symfony/ai/blob/main/examples/voyage/embeddings.php
 .. _`Embeddings with Mistral`: https://github.com/symfony/ai/blob/main/examples/mistral/embeddings.php
+.. _`Structured Output with PHP class`: https://github.com/symfony/ai/blob/main/examples/openai/structured-output-math.php
+.. _`Structured Output with array`: https://github.com/symfony/ai/blob/main/examples/openai/structured-output-clock.php
 .. _`Parallel GPT Calls`: https://github.com/symfony/ai/blob/main/examples/misc/parallel-chat-gpt.php
 .. _`Parallel Embeddings Calls`: https://github.com/symfony/ai/blob/main/examples/misc/parallel-embeddings.php
 .. _`LM Studio`: https://lmstudio.ai/

@@ -10,24 +10,27 @@
  */
 
 use Symfony\AI\Agent\Agent;
-use Symfony\AI\Agent\StructuredOutput\AgentProcessor as StructuredOutputProcessor;
-use Symfony\AI\Agent\Toolbox\AgentProcessor as ToolProcessor;
+use Symfony\AI\Agent\Toolbox\AgentProcessor;
 use Symfony\AI\Agent\Toolbox\Tool\Clock;
 use Symfony\AI\Agent\Toolbox\Toolbox;
 use Symfony\AI\Platform\Bridge\DeepSeek\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
+use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
 use Symfony\Component\Clock\Clock as SymfonyClock;
+use Symfony\Component\EventDispatcher\EventDispatcher;
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-$platform = PlatformFactory::create(env('DEEPSEEK_API_KEY'), http_client());
+$dispatcher = new EventDispatcher();
+$dispatcher->addSubscriber(new PlatformSubscriber());
+
+$platform = PlatformFactory::create(env('DEEPSEEK_API_KEY'), http_client(), eventDispatcher: $dispatcher);
 
 $clock = new Clock(new SymfonyClock());
-$toolbox = new Toolbox([$clock]);
-$toolProcessor = new ToolProcessor($toolbox);
-$structuredOutputProcessor = new StructuredOutputProcessor();
-$agent = new Agent($platform, 'deepseek-chat', [$toolProcessor, $structuredOutputProcessor], [$toolProcessor, $structuredOutputProcessor]);
+$toolbox = new Toolbox([$clock], logger: logger());
+$toolProcessor = new AgentProcessor($toolbox);
+$agent = new Agent($platform, 'deepseek-chat', [$toolProcessor], [$toolProcessor]);
 
 $messages = new MessageBag(
     // for DeepSeek it is *mandatory* to mention JSON anywhere in the prompt when using structured output

@@ -10,24 +10,27 @@
  */
 
 use Symfony\AI\Agent\Agent;
-use Symfony\AI\Agent\StructuredOutput\AgentProcessor as StructuredOutputProcessor;
-use Symfony\AI\Agent\Toolbox\AgentProcessor as ToolProcessor;
+use Symfony\AI\Agent\Toolbox\AgentProcessor;
 use Symfony\AI\Agent\Toolbox\Tool\Clock;
 use Symfony\AI\Agent\Toolbox\Toolbox;
 use Symfony\AI\Platform\Bridge\Gemini\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
+use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
 use Symfony\Component\Clock\Clock as SymfonyClock;
+use Symfony\Component\EventDispatcher\EventDispatcher;
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-$platform = PlatformFactory::create(env('GEMINI_API_KEY'), http_client());
+$dispatcher = new EventDispatcher();
+$dispatcher->addSubscriber(new PlatformSubscriber());
+
+$platform = PlatformFactory::create(env('GEMINI_API_KEY'), http_client(), eventDispatcher: $dispatcher);
 
 $clock = new Clock(new SymfonyClock());
 $toolbox = new Toolbox([$clock], logger: logger());
-$toolProcessor = new ToolProcessor($toolbox);
-$structuredOutputProcessor = new StructuredOutputProcessor();
-$agent = new Agent($platform, 'gemini-2.5-flash', [$toolProcessor, $structuredOutputProcessor], [$toolProcessor, $structuredOutputProcessor]);
+$toolProcessor = new AgentProcessor($toolbox);
+$agent = new Agent($platform, 'gemini-2.5-flash', [$toolProcessor], [$toolProcessor]);
 
 $messages = new MessageBag(Message::ofUser('What date and time is it?'));
 $result = $agent->call($messages, ['response_format' => [

@@ -9,23 +9,24 @@
  * file that was distributed with this source code.
  */
 
-use Symfony\AI\Agent\Agent;
-use Symfony\AI\Agent\StructuredOutput\AgentProcessor;
 use Symfony\AI\Fixtures\StructuredOutput\MathReasoning;
 use Symfony\AI\Platform\Bridge\Gemini\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
+use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
+use Symfony\Component\EventDispatcher\EventDispatcher;
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-$platform = PlatformFactory::create(env('GEMINI_API_KEY'), http_client());
+$dispatcher = new EventDispatcher();
+$dispatcher->addSubscriber(new PlatformSubscriber());
 
-$processor = new AgentProcessor();
-$agent = new Agent($platform, 'gemini-2.5-flash', [$processor], [$processor]);
+$platform = PlatformFactory::create(env('GEMINI_API_KEY'), http_client(), eventDispatcher: $dispatcher);
 $messages = new MessageBag(
     Message::forSystem('You are a helpful math tutor. Guide the user through the solution step by step.'),
     Message::ofUser('how can I solve 8x + 7 = -23'),
 );
-$result = $agent->call($messages, ['output_structure' => MathReasoning::class]);
 
-dump($result->getContent());
+$result = $platform->invoke('gemini-2.5-flash', $messages, ['output_structure' => MathReasoning::class]);
+
+dump($result->asObject());
@@ -9,29 +9,23 @@
  * file that was distributed with this source code.
  */
 
-use Symfony\AI\Agent\Agent;
-use Symfony\AI\Agent\StructuredOutput\AgentProcessor;
-use Symfony\AI\Agent\StructuredOutput\ResponseFormatFactory;
 use Symfony\AI\Fixtures\StructuredOutput\MathReasoning;
 use Symfony\AI\Platform\Bridge\Mistral\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
-use Symfony\Component\Serializer\Encoder\JsonEncoder;
-use Symfony\Component\Serializer\Normalizer\ObjectNormalizer;
-use Symfony\Component\Serializer\Serializer;
+use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
+use Symfony\Component\EventDispatcher\EventDispatcher;
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-$platform = PlatformFactory::create(env('MISTRAL_API_KEY'), http_client());
+$dispatcher = new EventDispatcher();
+$dispatcher->addSubscriber(new PlatformSubscriber());
 
-$serializer = new Serializer([new ObjectNormalizer()], [new JsonEncoder()]);
-
-$processor = new AgentProcessor(new ResponseFormatFactory(), $serializer);
-$agent = new Agent($platform, 'mistral-small-latest', [$processor], [$processor]);
+$platform = PlatformFactory::create(env('MISTRAL_API_KEY'), http_client(), eventDispatcher: $dispatcher);
 $messages = new MessageBag(
     Message::forSystem('You are a helpful math tutor. Guide the user through the solution step by step.'),
     Message::ofUser('how can I solve 8x + 7 = -23'),
 );
-$result = $agent->call($messages, ['output_structure' => MathReasoning::class]);
+$result = $platform->invoke('mistral-small-latest', $messages, ['output_structure' => MathReasoning::class]);
 
-dump($result->getContent());
+dump($result->asObject());
@@ -13,24 +13,23 @@
 use Symfony\AI\Agent\InputProcessor\SystemPromptInputProcessor;
 use Symfony\AI\Agent\MultiAgent\Handoff;
 use Symfony\AI\Agent\MultiAgent\MultiAgent;
-use Symfony\AI\Agent\StructuredOutput\AgentProcessor;
 use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
+use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
+use Symfony\Component\EventDispatcher\EventDispatcher;
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-$platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
-
-// Create structured output processor for the orchestrator
-$structuredOutputProcessor = new AgentProcessor();
+$dispatcher = new EventDispatcher();
+$dispatcher->addSubscriber(new PlatformSubscriber());
+$platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client(), eventDispatcher: $dispatcher);
 
 // Create orchestrator agent for routing decisions
 $orchestrator = new Agent(
     $platform,
     'gpt-4o-mini',
-    [new SystemPromptInputProcessor('You are an intelligent agent orchestrator that routes user questions to specialized agents.'), $structuredOutputProcessor],
-    [$structuredOutputProcessor],
+    [new SystemPromptInputProcessor('You are an intelligent agent orchestrator that routes user questions to specialized agents.')],
 );
 
 // Create technical agent for handling technical issues

@@ -9,23 +9,23 @@
  * file that was distributed with this source code.
  */
 
-use Symfony\AI\Agent\Agent;
-use Symfony\AI\Agent\StructuredOutput\AgentProcessor;
 use Symfony\AI\Fixtures\StructuredOutput\MathReasoning;
 use Symfony\AI\Platform\Bridge\Ollama\PlatformFactory;
 use Symfony\AI\Platform\Message\Message;
 use Symfony\AI\Platform\Message\MessageBag;
+use Symfony\AI\Platform\StructuredOutput\PlatformSubscriber;
+use Symfony\Component\EventDispatcher\EventDispatcher;
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-$platform = PlatformFactory::create(env('OLLAMA_HOST_URL'), http_client());
+$dispatcher = new EventDispatcher();
+$dispatcher->addSubscriber(new PlatformSubscriber());
 
-$processor = new AgentProcessor();
-$agent = new Agent($platform, env('OLLAMA_LLM'), [$processor], [$processor]);
+$platform = PlatformFactory::create(env('OLLAMA_HOST_URL'), http_client(), eventDispatcher: $dispatcher);
 $messages = new MessageBag(
     Message::forSystem('You are a helpful math tutor. Guide the user through the solution step by step.'),
     Message::ofUser('how can I solve 8x + 7 = -23'),
 );
-$result = $agent->call($messages, ['output_structure' => MathReasoning::class]);
+$result = $platform->invoke(env('OLLAMA_LLM'), $messages, ['output_structure' => MathReasoning::class]);
 
-dump($result->getContent());
+dump($result->asObject());