@robinpath/ai

LLM integration: chat, complete, summarize, extract, classify, translate, sentiment analysis, and embeddings

Why use this module?

The ai module lets you:

• Send a chat message and get a response
• Get a simple text completion (returns just the text)
• Summarize text using AI
• Extract structured data from text using AI
• Classify text into one of given categories

All functions are callable directly from RobinPath scripts with a simple, consistent API.

Installation

npm install @robinpath/ai

Quick Start

1. Set up credentials

ai.configure "openai" {"provider": "openai", "apiKey": $key}

2. Send a chat message and get a response

ai.chat "openai" "Explain quantum computing" {"system": "You are a teacher"}

Available Functions

| Function | Description | |----------|-------------| | ai.configure | Configure an AI provider (OpenAI, Anthropic, or custom) | | ai.chat | Send a chat message and get a response | | ai.complete | Get a simple text completion (returns just the text) | | ai.summarize | Summarize text using AI | | ai.extract | Extract structured data from text using AI | | ai.classify | Classify text into one of given categories | | ai.translate | Translate text to a target language | | ai.sentiment | Analyze the sentiment of text | | ai.generateJson | Generate structured JSON from a prompt | | ai.embedding | Generate text embeddings (OpenAI only) |

Examples

Send a chat message and get a response

ai.chat "openai" "Explain quantum computing" {"system": "You are a teacher"}

Get a simple text completion (returns just the text)

ai.complete "openai" "Write a haiku about automation"

Summarize text using AI

ai.summarize "openai" $longText {"maxLength": 100}

Integration with RobinPath

import { RobinPath } from "@wiredwp/robinpath";
import Module from "@robinpath/ai";

const rp = new RobinPath();
rp.registerModule(Module.name, Module.functions);
rp.registerModuleMeta(Module.name, Module.functionMetadata);

const result = await rp.executeScript(`
  ai.configure "openai" {"provider": "openai", "apiKey": $key}
  ai.chat "openai" "Explain quantum computing" {"system": "You are a teacher"}
`);

Full API Reference

See MODULE.md for complete documentation including all parameters, return types, error handling, and advanced examples.

Related Modules

• @robinpath/openai — OpenAI module for complementary functionality
• @robinpath/anthropic — Anthropic module for complementary functionality
• @robinpath/deepl — DeepL module for complementary functionality
• @robinpath/translate — Translate module for complementary functionality
• @robinpath/json — JSON module for complementary functionality

License

MIT