plugins/plugin-web-search/README.md
A plugin for powerful web search capabilities, providing efficient search query handling and result processing through a customizable API interface.
This plugin provides functionality to:
bun install @elizaos/plugin-web-search
The plugin requires the following environment variables:
TAVILY_API_KEY=your_api_key # Required: API key for search service
Import and register the plugin in your Eliza configuration.
import { webSearchPlugin } from "@elizaos/plugin-web-search";
export default {
plugins: [webSearchPlugin],
// ... other configuration
};
Custom Usage If you want custom usage, for example, a social media client to search the web before posting, you can also import the webSearchService and use it directly. Here's how you can do it:
// Example usage in a social media client
const webSearchService = new WebSearchService();
await webSearchService.initialize(runtime);
const latestNews = await webSearchService.search(
"latest news on AI Agents",
// searchOptions
);
const state = await this.runtime.composeState(
{ } // memory,
{ // additional keys
latestNews: latestNews,
}
);
// Then modify the post template to include the {{latestNews}} and however you need
The plugin provides comprehensive web search capabilities:
import { webSearch } from "@elizaos/plugin-web-search";
// Execute a search query
const result = await webSearch.handler(
runtime,
{
content: { text: "What is the latest news about AI?" },
},
state,
{},
callback
);
// The plugin automatically handles token limits
const DEFAULT_MAX_WEB_SEARCH_TOKENS = 4000;
// Example of token-limited response
const response = MaxTokens(searchResult, DEFAULT_MAX_WEB_SEARCH_TOKENS);
bun run build
bun run test
bun run dev
@elizaos/core: Core Eliza functionalityjs-tiktoken: Token counting and managementtsup: Build toolinterface Action {
name: "WEB_SEARCH";
similes: string[];
description: string;
validate: (runtime: IAgentRuntime, message: Memory) => Promise<boolean>;
handler: (
runtime: IAgentRuntime,
message: Memory,
state: State,
options: any,
callback: HandlerCallback
) => Promise<void>;
examples: Array<Array<any>>;
}
interface SearchResult {
title: string;
url: string;
answer?: string;
results?: Array<{
title: string;
url: string;
}>;
}
webSearch.handler: Main method for executing searchesgenerateWebSearch: Core search generation functionMaxTokens: Token limit management functiongetTotalTokensFromString: Token counting utility// Basic search
const searchQuery = "Latest developments in quantum computing";
const results = await generateWebSearch(searchQuery, runtime);
// With formatted response
if (results && results.results.length) {
const formattedResponse = `${results.answer}\n\nFor more details, check out:\n${results.results
.map(
(result, index) => `${index + 1}. [${result.title}](${result.url})`
)
.join("\n")}`;
}
const DEFAULT_MODEL_ENCODING = "gpt-3.5-turbo";
const DEFAULT_MAX_WEB_SEARCH_TOKENS = 4000;
The plugin includes multiple search action similes:
Contributions are welcome! Please see the CONTRIBUTING.md file for more information.
This plugin integrates with and builds upon several key technologies:
Special thanks to:
For more information about the search capabilities and tools:
This plugin is part of the Eliza project. See the main project repository for license information.