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@launchdarkly/server-sdk-ai-langchain

v0.4.1

Published

LaunchDarkly AI SDK LangChain Provider for Server-Side JavaScript

Downloads

522

Readme

LaunchDarkly AI SDK LangChain Provider for Server-Side JavaScript

NPM Actions Status Documentation NPM NPM

⛔️⛔️⛔️⛔️

[!CAUTION] This library is a alpha version and should not be considered ready for production use while this message is visible.

☝️☝️☝️☝️☝️☝️

LaunchDarkly overview

LaunchDarkly is a feature management platform that serves over 100 billion feature flags daily to help teams build better software, faster. Get started using LaunchDarkly today!

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Quick Setup

This package provides LangChain integration for the LaunchDarkly AI SDK. The simplest way to use it is with the LaunchDarkly AI SDK's initChat method:

  1. Install the required packages:
npm install @launchdarkly/server-sdk-ai @launchdarkly/server-sdk-ai-langchain --save
# or
yarn add @launchdarkly/server-sdk-ai @launchdarkly/server-sdk-ai-langchain
  1. Create a chat session and use it:
import { init } from '@launchdarkly/node-server-sdk';
import { initAi } from '@launchdarkly/server-sdk-ai';

// Initialize LaunchDarkly client
const ldClient = init(sdkKey);
const aiClient = initAi(ldClient);

// Create a chat session
const defaultConfig = { 
  enabled: true, 
  model: { name: 'gpt-4' },
  provider: { name: 'openai' }
};
const chat = await aiClient.initChat('my-chat-config', context, defaultConfig);

if (chat) {
  const response = await chat.invoke('What is the capital of France?');
  console.log(response.message.content);
}

For more information about using the LaunchDarkly AI SDK, see the LaunchDarkly AI SDK documentation.

Langchain Provider Installation

Important: You will need to install additional provider packages for the specific AI models you want to use. LangChain requires separate packages for each provider.

When creating a new LangChain model, LaunchDarkly uses an AI Config and the initChatModel provided by LangChain to create a model instance. You should install all LangChain providers for each provider you plan to use in your AI Config to ensure they can be properly instantiated.

Installing a LangChain Provider

To use specific AI models, install the corresponding provider package:

# For OpenAI models
npm install @langchain/openai --save
# or
yarn add @langchain/openai

For a complete list of available providers and installation instructions, see the LangChain JavaScript Integrations documentation.

Advanced Usage

For more control, you can use the LangChain provider package directly with LaunchDarkly configurations:

import { LangChainProvider } from '@launchdarkly/server-sdk-ai-langchain';
import { HumanMessage } from '@langchain/core/messages';

// Create a LangChain model from LaunchDarkly configuration
const llm = await LangChainProvider.createLangChainModel(aiConfig);

// Convert LaunchDarkly messages to LangChain format and add user message
const configMessages = aiConfig.messages || [];
const userMessage = new HumanMessage('What is the capital of France?');
const allMessages = [...LangChainProvider.convertMessagesToLangChain(configMessages), userMessage];

// Track the model call with LaunchDarkly tracking
const response = await aiConfig.tracker.trackMetricsOf(
  LangChainProvider.getAIMetricsFromResponse,
  () => llm.invoke(allMessages)
);

console.log('AI Response:', response.content);

Contributing

We encourage pull requests and other contributions from the community. Check out our contributing guidelines for instructions on how to contribute to this SDK.

About LaunchDarkly

  • LaunchDarkly is a continuous delivery platform that provides feature flags as a service and allows developers to iterate quickly and safely. We allow you to easily flag your features and manage them from the LaunchDarkly dashboard. With LaunchDarkly, you can:
    • Roll out a new feature to a subset of your users (like a group of users who opt-in to a beta tester group), gathering feedback and bug reports from real-world use cases.
    • Gradually roll out a feature to an increasing percentage of users, and track the effect that the feature has on key metrics (for instance, how likely is a user to complete a purchase if they have feature A versus feature B?).
    • Turn off a feature that you realize is causing performance problems in production, without needing to re-deploy, or even restart the application with a changed configuration file.
    • Grant access to certain features based on user attributes, like payment plan (eg: users on the 'gold' plan get access to more features than users in the 'silver' plan).
    • Disable parts of your application to facilitate maintenance, without taking everything offline.
  • LaunchDarkly provides feature flag SDKs for a wide variety of languages and technologies. Check out our documentation for a complete list.
  • Explore LaunchDarkly