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Simplify model configuration by defaulting to platform-specific model classes
This PR revolutionizes model configuration in the Symfony AI bundle by simplifying the way models are configured and eliminating the need for explicit class definitions in most use cases. The changes make model configuration more intuitive and maintainable while providing full backwards compatibility. - **Added platform-specific ModelCatalog classes** for OpenAI, Anthropic, Mistral, Perplexity, Gemini, and Cerebras - **Automatic model class inference** based on platform and capabilities - **Eliminates need for explicit class configuration** in most scenarios - Each platform now provides its own model catalog with predefined capabilities - **Direct model string support**: `model: 'gpt-4o-mini?temperature=0.5&max_tokens=1000'` - **Query parameter parsing** embedded directly in model names - **Traditional name/options structure** still supported for backwards compatibility - **Validation prevents conflicting configurations** (query string + options object) - **New `PlatformInterface::getModelCatalog()` method** for accessing platform model catalogs - **Enhanced `AbstractModelCatalog`** with validation for empty model names - **New `AutoDiscoveryModelCatalog`** for automatic capability detection - **Updated platform factories** to create bridge-specific model catalogs - **Updated AI Bundle configuration** (`config/options.php`) to support direct model strings - **Enhanced bundle class** (`AiBundle.php`) to handle new model configuration patterns - **Removed hardcoded model class assumptions** throughout the bundle - **Updated 40+ test files** to use Model objects instead of raw strings - **Enhanced InputProcessor tests** to validate new configuration patterns - **Added comprehensive test coverage** for all new ModelCatalog implementations - **Updated agent tests** to use proper Model instances ```yaml ai: model: openai: custom-gpt-4: class: OpenAi\Gpt capabilities: - input_messages - output_text - tool_calling ``` ```yaml ai: agent: my_agent: platform: openai model: 'gpt-4o-mini?temperature=0.5&max_tokens=1000' ai: agent: my_agent: platform: openai model: name: gpt-4o-mini options: temperature: 0.5 max_tokens: 1000 ai: model: openai: custom-gpt-4: capabilities: - !php/const Symfony\AI\Platform\Capability::INPUT_MESSAGES - !php/const Symfony\AI\Platform\Capability::OUTPUT_TEXT - !php/const Symfony\AI\Platform\Capability::TOOL_CALLING agent: my_agent: platform: openai model: 'custom-gpt-4?temperature=0.3' ``` 1. **Dramatically Simplified Configuration**: No more need to specify model classes for standard platform models 2. **Enhanced Developer Experience**: Intuitive query parameter syntax for model options 3. **Type Safety**: Enum constants ensure valid capability values 4. **Automatic Model Discovery**: Platform-specific catalogs automatically infer appropriate model classes 5. **Validation**: Built-in prevention of conflicting configuration patterns 6. **Full Backwards Compatibility**: Existing configurations continue to work unchanged - **ModelCatalog Interface**: Each platform now implements its own model catalog - **Query String Parser**: Parses model options from URL-style query parameters - **Capability Auto-Detection**: Automatically determines model capabilities based on platform standards - **Configuration Validation**: Prevents invalid combinations of configuration approaches - **Seamless Migration**: Existing model configurations work without modification This change significantly reduces configuration complexity while maintaining the full power and flexibility of the Symfony AI platform integration.
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PR_CUSTOM_MODEL_EXAMPLE.md

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# Custom Model Configuration Examples
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## Before (Old Configuration)
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```yaml
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ai:
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model:
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openai:
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custom-gpt-4:
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class: OpenAi\Gpt
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capabilities:
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- input_messages
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- output_text
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- output_streaming
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- tool_calling
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- output_structured
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```
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## After (New Configuration)
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### Using Direct Model String with Query Parameters
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```yaml
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ai:
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agent:
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my_agent:
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platform: openai
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model: 'gpt-4o-mini?temperature=0.5&max_tokens=1000'
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```
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### Using Traditional Name/Options Structure
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```yaml
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ai:
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agent:
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my_agent:
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platform: openai
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model:
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name: gpt-4o-mini
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options:
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temperature: 0.5
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max_tokens: 1000
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```
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### Custom Model with Capabilities (Using Enum Syntax)
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```yaml
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ai:
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model:
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openai:
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custom-gpt-4:
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capabilities:
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- !php/const Symfony\AI\Platform\Capability::INPUT_MESSAGES
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- !php/const Symfony\AI\Platform\Capability::OUTPUT_TEXT
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- !php/const Symfony\AI\Platform\Capability::OUTPUT_STREAMING
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- !php/const Symfony\AI\Platform\Capability::TOOL_CALLING
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- !php/const Symfony\AI\Platform\Capability::OUTPUT_STRUCTURED
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agent:
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my_agent:
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platform: openai
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model: 'custom-gpt-4?temperature=0.3'
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```
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### Vectorizer Configuration
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```yaml
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ai:
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vectorizer:
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my_vectorizer:
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platform: openai
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model: 'text-embedding-3-small?dimensions=512'
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```
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## Key Improvements
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1. **Shorter Syntax**: Direct model strings eliminate nested configuration
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2. **Query Parameters**: Model options can be embedded directly in the model name
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3. **Type Safety**: Enum constants ensure valid capability values
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4. **Auto-Discovery**: Model classes are automatically inferred from capabilities
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5. **Validation**: Conflicting configuration (query string + options) is prevented

src/agent/src/Agent.php

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*/
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public function __construct(
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private PlatformInterface $platform,
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private Model $model,
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/** @var non-empty-string */
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private string $model,
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iterable $inputProcessors = [],
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iterable $outputProcessors = [],
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private string $name = 'agent',
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public function getModel(): Model
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{
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return $this->model;
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return $this->platform->getModel($this->model);
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}
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public function getName(): string
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*/
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public function call(MessageBag $messages, array $options = []): ResultInterface
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{
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$input = new Input($this->model, $messages, $options);
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$input = new Input($this->getModel(), $messages, $options);
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array_map(fn (InputProcessorInterface $processor) => $processor->processInput($input), $this->inputProcessors);
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$model = $input->model;
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}
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try {
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$result = $this->platform->invoke($model, $messages, $options)->getResult();
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$result = $this->platform->invoke($this->model, $messages, $options)->getResult();
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} catch (ClientExceptionInterface $e) {
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$message = $e->getMessage();
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$content = $e->getResponse()->toArray(false);

src/agent/tests/InputProcessor/ModelOverrideInputProcessorTest.php

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use Symfony\AI\Agent\Exception\InvalidArgumentException;
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use Symfony\AI\Agent\Input;
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use Symfony\AI\Agent\InputProcessor\ModelOverrideInputProcessor;
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use Symfony\AI\Platform\Bridge\Anthropic\Claude;
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use Symfony\AI\Platform\Bridge\OpenAi\Embeddings;
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use Symfony\AI\Platform\Bridge\OpenAi\Gpt;
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use Symfony\AI\Platform\Capability;
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use Symfony\AI\Platform\Message\MessageBag;
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use Symfony\AI\Platform\Model;
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#[CoversClass(ModelOverrideInputProcessor::class)]
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#[UsesClass(Gpt::class)]
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#[UsesClass(Claude::class)]
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#[UsesClass(Input::class)]
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#[UsesClass(MessageBag::class)]
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#[UsesClass(Embeddings::class)]
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#[UsesClass(Model::class)]
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#[Small]
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final class ModelOverrideInputProcessorTest extends TestCase
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{
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public function testProcessInputWithValidModelOption()
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{
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$gpt = new Gpt();
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$claude = new Claude();
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$input = new Input($gpt, new MessageBag(), ['model' => $claude]);
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$originalModel = new Model('gpt-4o-mini', [Capability::INPUT_TEXT, Capability::OUTPUT_TEXT]);
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$overrideModel = new Model('claude-3-5-sonnet-20241022', [Capability::INPUT_TEXT, Capability::OUTPUT_TEXT]);
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$input = new Input($originalModel, new MessageBag(), ['model' => $overrideModel]);
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$processor = new ModelOverrideInputProcessor();
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$processor->processInput($input);
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$this->assertSame($claude, $input->model);
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$this->assertSame($overrideModel, $input->model);
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$this->assertSame('claude-3-5-sonnet-20241022', $input->model->getName());
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}
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public function testProcessInputWithoutModelOption()
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{
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$gpt = new Gpt();
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$input = new Input($gpt, new MessageBag());
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$originalModel = new Model('gpt-4o-mini', [Capability::INPUT_TEXT, Capability::OUTPUT_TEXT]);
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$input = new Input($originalModel, new MessageBag());
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$processor = new ModelOverrideInputProcessor();
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$processor->processInput($input);
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$this->assertSame($gpt, $input->model);
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$this->assertSame($originalModel, $input->model);
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$this->assertSame('gpt-4o-mini', $input->model->getName());
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}
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public function testProcessInputWithInvalidModelOption()
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{
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$this->expectException(InvalidArgumentException::class);
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$this->expectExceptionMessage('Option "model" must be an instance of "'.Model::class.'".');
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$this->expectExceptionMessage('Option "model" must be an instance of "Symfony\AI\Platform\Model".');
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$gpt = new Gpt();
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$model = new MessageBag();
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$input = new Input($gpt, new MessageBag(), ['model' => $model]);
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$originalModel = new Model('gpt-4o-mini', [Capability::INPUT_TEXT, Capability::OUTPUT_TEXT]);
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$input = new Input($originalModel, new MessageBag(), ['model' => new MessageBag()]);
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$processor = new ModelOverrideInputProcessor();
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$processor->processInput($input);

src/ai-bundle/config/options.php

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use MongoDB\Client as MongoDbClient;
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use Probots\Pinecone\Client as PineconeClient;
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use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
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use Symfony\AI\Platform\Capability;
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use Symfony\AI\Platform\Model;
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use Symfony\AI\Platform\PlatformInterface;
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use Symfony\AI\Store\Document\VectorizerInterface;
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->end()
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->end()
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->end()
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->arrayNode('model')
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->useAttributeAsKey('platform')
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->arrayPrototype()
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->useAttributeAsKey('model_name')
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->normalizeKeys(false)
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->validate()
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->ifEmpty()
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->thenInvalid('Model name cannot be empty.')
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->end()
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->arrayPrototype()
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->children()
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->arrayNode('capabilities')
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->info('Array of capabilities that this model supports')
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->enumPrototype(Capability::class)
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->enumFqcn(Capability::class)
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->end()
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->defaultValue([])
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->validate()
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->ifEmpty()
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->thenInvalid('At least one capability must be specified for each model.')
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->end()
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->end()
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->end()
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->end()
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->end()
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->end()
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->arrayNode('agent')
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->useAttributeAsKey('name')
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->arrayPrototype()
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->info('Enable tracking of token usage for the agent')
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->defaultTrue()
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->end()
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->arrayNode('model')
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->children()
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->stringNode('class')
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->isRequired()
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->validate()
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->ifTrue(function ($v) {
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return !is_a($v, Model::class, true);
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})
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->thenInvalid(\sprintf('The model class "%%s" must extend %s.', Model::class))
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->end()
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->end()
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->stringNode('name')->defaultNull()->end()
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->arrayNode('options')
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->variablePrototype()->end()
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->end()
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->variableNode('model')
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->validate()
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->ifTrue(function ($v) {
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return !is_string($v) && (!is_array($v) || !isset($v['name']));
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})
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->thenInvalid('Model must be a string or an array with a "name" key.')
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->end()
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->validate()
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->ifString()
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->then(function ($v) {
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return ['name' => $v, 'options' => []];
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})
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->end()
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->validate()
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->ifArray()
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->then(function ($v) {
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// If model.name contains query parameters, model.options should be empty
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if (isset($v['name']) && str_contains($v['name'], '?') && !empty($v['options'])) {
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throw new \InvalidArgumentException('Cannot use both query parameters in model.name and model.options. Use either "name: gpt-4o-mini?temperature=0.5" or separate "name" and "options" keys.');
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}
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return $v;
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})
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->end()
198232
->end()
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->booleanNode('structured_output')->defaultTrue()->end()
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520554
->info('Service name of platform')
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->defaultValue(PlatformInterface::class)
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->end()
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->arrayNode('model')
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->children()
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->stringNode('class')
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->isRequired()
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->validate()
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->ifTrue(function ($v) {
529-
return !is_a($v, Model::class, true);
530-
})
531-
->thenInvalid(\sprintf('The model class "%%s" must extend %s.', Model::class))
532-
->end()
533-
->end()
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->stringNode('name')->defaultNull()->end()
535-
->arrayNode('options')
536-
->variablePrototype()->end()
537-
->end()
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->variableNode('model')
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->validate()
559+
->ifTrue(function ($v) {
560+
return !is_string($v) && (!is_array($v) || !isset($v['name']));
561+
})
562+
->thenInvalid('Model must be a string or an array with a "name" key.')
563+
->end()
564+
->validate()
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->ifString()
566+
->then(function ($v) {
567+
return ['name' => $v, 'options' => []];
568+
})
569+
->end()
570+
->validate()
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->ifArray()
572+
->then(function ($v) {
573+
// If model.name contains query parameters, model.options should be empty
574+
if (isset($v['name']) && str_contains($v['name'], '?') && !empty($v['options'])) {
575+
throw new \InvalidArgumentException('Cannot use both query parameters in model.name and model.options. Use either "name: gpt-4o-mini?temperature=0.5" or separate "name" and "options" keys.');
576+
}
577+
return $v;
578+
})
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->end()
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->end()
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->end()

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