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
- 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
Extras
Prompts
Overview
Prompt
class in Instructor PHP provides a way to define and use
prompt templates using Twig or Blade template syntax.
Example
<?php
$loader = require 'vendor/autoload.php';
$loader->add('Cognesy\\Instructor\\', __DIR__ . '../../src/');
use Cognesy\Instructor\Extras\Prompt\Prompt;
use Cognesy\Instructor\Features\LLM\Inference;
use Cognesy\Instructor\Utils\Str;
// EXAMPLE 1: Define prompt template inline (don't use files) and use short syntax
$prompt = Prompt::twig()
->from('What is capital of {{country}}')
->with(['country' => 'Germany'])
->toText();
$answer = (new Inference)->create(
messages: $prompt
)->toText();
echo "EXAMPLE 1: prompt = $prompt\n";
echo "ASSISTANT: $answer\n";
echo "\n";
assert(Str::contains($answer, 'Berlin'));
// EXAMPLE 2: Use Prompt library to load prompt from file
// use default template language, prompt files are in /prompts/twig/<prompt>.twig
$prompt = Prompt::text(
pathOrDsn: 'demo-twig:capital',
variables: ['country' => 'Germany'],
);
$answer = (new Inference)->create(messages: $prompt)->toText();
echo "EXAMPLE 2: prompt = $prompt\n";
echo "ASSISTANT: $answer\n";
echo "\n";
assert(Str::contains($answer, 'Berlin'));
?>