Advanced
Extracting scalar values
Basics
- Basic use
- Basic use via mixin
- Handling errors with `Maybe` helper class
- Modes
- Making some fields optional
- Private vs public object field
- Automatic correction based on validation results
- Using attributes
- Using LLM API connections from config file
- Validation
- Custom validation using Symfony Validator
- Validation across multiple fields
Advanced
- Context caching
- Context caching (Anthropic)
- Customize parameters of OpenAI client
- Custom prompts
- Using structured data as an input
- Extracting arguments of function or method
- Streaming partial updates during inference
- Providing example inputs and outputs
- Extracting scalar values
- Extracting sequences of objects
- Streaming
- Structures
Troubleshooting
LLM API Support
Extras
- Extraction of complex objects
- Extraction of complex objects (Anthropic)
- Extraction of complex objects (Cohere)
- Extraction of complex objects (Gemini)
- Embeddings
- Image processing - car damage detection
- Image to data (OpenAI)
- Image to data (Anthropic)
- Image to data (Gemini)
- Working directly with LLMs
- Working directly with LLMs and JSON - JSON mode
- Working directly with LLMs and JSON - JSON Schema mode
- Working directly with LLMs and JSON - MdJSON mode
- Inference and tool use
- Working directly with LLMs and JSON - Tools mode
- Prompts
- Generating JSON Schema from PHP classes
- Generating JSON Schema dynamically
- Simple content summary
- Create tasks from meeting transcription
- Translating UI text fields
- Web page to PHP objects
Advanced
Extracting scalar values
Overview
Sometimes we just want to get quick results without defining a class for the response model, especially if we’re trying to get a straight, simple answer in a form of string, integer, boolean or float. Instructor provides a simplified API for such cases.
Example
<?php
$loader = require 'vendor/autoload.php';
$loader->add('Cognesy\\Instructor\\', __DIR__ . '../../src/');
use Cognesy\Instructor\Extras\Scalar\Scalar;
use Cognesy\Instructor\Instructor;
enum CitizenshipGroup : string {
case US = "US";
case Canada = "Canada";
case Germany = "Germany";
case Other = "Other";
}
$text = "His name is Jason, he is 28 years old American who lives in Germany.";
$value = (new Instructor)->respond(
messages: $text,
prompt: 'What is user\'s citizenship?',
responseModel: Scalar::enum(CitizenshipGroup::class, name: 'citizenshipGroup'),
);
dump($value);
assert($value instanceof CitizenshipGroup);
expect($value == CitizenshipGroup::Other);
?>