README

Unified LLM connectivity layer for InstructorPHP.

It provides three operation facades:

• Inference for chat/completion responses
• Embeddings for vector generation
• Decision for typed structured decisions (Noul, Choice, and Score)

Example

<?php

use Cognesy\Polyglot\Inference\Inference;
use Cognesy\Polyglot\Inference\Reasoning\ReasoningEffort;
use Cognesy\Polyglot\Inference\Reasoning\ReasoningSelection;

$message = Inference::using('openai')
    ->withModel('gpt-5.6')
    ->withMessages('Write one short sentence about PHP.')
    ->withReasoning(ReasoningSelection::effort(ReasoningEffort::Medium))
    ->get();

echo $message->content()->toString();

Documentation

• packages/polyglot/docs/quickstart.md
• packages/polyglot/docs/essentials/inference-class.md
• packages/polyglot/docs/essentials/reasoning.md
• packages/polyglot/docs/embeddings/overview.md
• packages/polyglot/docs/decision/overview.md
• packages/polyglot/docs/decision/questions.md
• packages/polyglot/docs/decision/responses.md
• packages/polyglot/docs/decision/runtime.md
• packages/polyglot/docs/decision/errors-testing.md
• packages/polyglot/docs/_meta.yaml