Core structured-output engine for InstructorPHP.
Use it to turn unstructured LLM responses into typed PHP data, with validation, retries, and streaming updates.
<?php use Cognesy\Instructor\StructuredOutput; use Cognesy\Polyglot\Inference\Config\LLMConfig; class Person { public string $name; public int $age; } $person = StructuredOutput::fromConfig(LLMConfig::fromArray(['driver' => 'openai'])) ->with( messages: 'His name is Jason and he is 28 years old.', responseModel: Person::class, ) ->get();
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