AI SDK
This plugin provides a unified AI model configuration center, supporting all major mainstream AI models. Configure once, use everywhere, without the need to repeatedly set API Keys.
Note: This feature can only be used in Eagle 5.0 Beta and above (currently unreleased, please follow Eagle's official website for detailed release information).
Introduction to AI SDK Dependency Plugin
The "AI SDK Dependency Plugin" is a development toolkit for browser plugin developers, providing a unified AI model configuration center that supports all major mainstream AI models. Configure once, use everywhere. This toolkit allows developers to easily implement AI functions such as text generation, structured object generation, and streaming processing in their own plugins. By integrating the "AI SDK Dependency Plugin", developers can seamlessly expand their plugin's AI processing capabilities, bringing more intelligent and practical features to users.
Unified Configuration Center: Configure Once, Use Everywhere
The AI SDK plugin provides a unified AI model configuration center, supporting:
Commercial Models:
OpenAI (GPT-4, GPT-4 Vision)
Anthropic Claude (Claude 3 Opus, Claude 3.5 Sonnet)
Google Gemini (Gemini Pro, Gemini Ultra)
DeepSeek (DeepSeek Chat, DeepSeek Coder)
Alibaba Qwen (Tongyi Qianwen)
Local Models (completely offline operation):
Ollama (supporting Llama 3, Mistral, Phi-3, etc.)
LM Studio (graphical interface, beginner-friendly)
After configuring once, all AI-related plugins can use it directly without repeated settings. For example: if you install "AI Translation" and "AI Rename" plugins today, they will automatically share the configuration you filled in the SDK, and can even choose different models individually, without requiring you to enter API Keys again.
Open Development Environment
Based on ai-sdk.dev standards (AI SDK v5), the AI SDK plugin provides developers with a set of clean and stable infrastructure. Developers no longer need to spend effort handling basic configurations such as API Key storage, model switching, and error retry, and can focus on plugin innovation. The only difference is in Provider acquisition - we use our own developed Providers to ensure better stability and user experience.
Version Compatibility: This plugin is built on AI SDK v5. If you're familiar with newer versions (v6, v7, etc.) of AI SDK, please note that some APIs or features may differ. Always refer to this documentation for the correct usage within Eagle's ecosystem.
Installing the AI SDK Dependency Plugin
Enter the plugin center
Search and find the AI SDK plugin
Click to install the AI SDK plugin
How to Use the AI SDK Dependency Plugin
If you want to use AI SDK related functions in your plugin, you need to add a dependencies definition in the plugin's manifest.json file, so that the Eagle system knows this plugin needs additional extension functions, as shown below:
{
"id": "LBCZE8V6LPCKD",
"version": "1.0.0",
"platform": "all",
"arch": "all",
"name": "Window Plugin",
"logo": "/logo.png",
"keywords": [],
"dependencies": ["ai-sdk"],
"devTools": false,
"main":
{
"url": "index.html",
"width": 640,
"height": 480,
}
}Window Plugin Example
You can use eagle.extraModule.ai to call the functions provided by the AI SDK dependency plugin. Here are examples of various usage methods:
generateText() - Basic Text Generation
eagle.onPluginCreate(async (plugin) => {
// Get AI module and Provider
const ai = eagle.extraModule.ai;
const { openai, anthropic, gemini, deepseek, qwen, ollama, lmstudio } = await ai.getProviders();
const { generateText } = ai;
// Basic text generation
const result = await generateText({
model: openai("gpt-5"),
prompt: "Please help me write a creative introduction about digital art",
});
console.log(result.text);
});generateObject() - Structured Object Generation
eagle.onPluginCreate(async (plugin) => {
const ai = eagle.extraModule.ai;
const { openai } = await ai.getProviders();
const { generateObject } = ai;
// Generate structured data
const result = await generateObject({
model: anthropic("claude-4-sonnet"),
schema: {
type: "object",
properties: {
tags: {
type: "array",
items: {
type: "object",
properties: {
name: { type: "string" },
reason: { type: "string" },
},
},
},
description: { type: "string" },
},
},
messages: [
{
role: "system",
content: "You are a professional image analysis expert who can accurately identify image content and provide appropriate tags and descriptions.",
},
{
role: "user",
content: [
{
type: "text",
text: "Please analyze this image and provide 5 related tags, each tag needs to explain the reason, and provide a concise image description.",
},
{
type: "image",
image: "https://example.com/sample-image.jpg",
},
],
},
],
});
console.log("Tags:", result.object.tags);
console.log("Description:", result.object.description);
});streamText() - Streaming Text Generation
eagle.onPluginCreate(async (plugin) => {
const ai = eagle.extraModule.ai;
const { openai } = await ai.getProviders();
const { streamText } = ai;
// Stream text generation, suitable for real-time display
const { textStream } = await streamText({
model: gemini("gemini-2.0-flash-exp"),
prompt: "Please provide a detailed introduction to the development history and main characteristics of digital art",
});
// Gradually receive and display generated text
for await (const textPart of textStream) {
console.log(textPart);
}
});streamObject() - Streaming Object Generation
eagle.onPluginCreate(async (plugin) => {
const ai = eagle.extraModule.ai;
const { openai } = await ai.getProviders();
const { streamObject } = ai;
// Stream structured object generation
const { partialObjectStream } = await streamObject({
model: deepseek("deepseek-chat"),
schema: {
type: "object",
properties: {
analysis: {
type: "object",
properties: {
colors: {
type: "array",
items: { type: "string" }
},
style: { type: "string" },
mood: { type: "string" },
suggestions: {
type: "array",
items: { type: "string" }
}
}
}
},
},
messages: [
{
role: "system",
content: "You are an art critic who can deeply analyze artworks' colors, styles, emotions, and improvement suggestions.",
},
{
role: "user",
content: "Please analyze this artwork's color combinations, artistic style, emotions conveyed, and provide improvement suggestions.",
},
],
});
// Gradually receive partial objects
for await (const partialObject of partialObjectStream) {
console.log("Current analysis result:", partialObject);
}
});Last updated