Spider Agent

A concurrent-safe multimodal agent for web automation and research.

Features

• Concurrent-safe: Designed to be wrapped in Arc for multi-task access
• Feature-gated: Only include dependencies you need
• Multiple LLM providers: OpenAI, OpenAI-compatible APIs
• Multiple search providers: Serper, Brave, Bing, Tavily
• HTML extraction: Clean and extract structured data from web pages
• Research synthesis: Combine search + extraction + LLM synthesis

Installation

Add to your Cargo.toml:

[dependencies]
spider_agent = { version = "0.1", features = ["openai", "search_serper"] }

Quick Start

use spider_agent::{Agent, AgentConfig};
use std::sync::Arc;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let agent = Arc::new(Agent::builder()
        .with_openai("sk-...", "gpt-4o-mini")
        .with_search_serper("serper-key")
        .build()?);

    // Search
    let results = agent.search("rust web frameworks").await?;
    println!("Found {} results", results.len());

    // Extract from first result
    let html = agent.fetch(&results.results[0].url).await?.html;
    let data = agent.extract(&html, "Extract framework name and features").await?;
    println!("{}", serde_json::to_string_pretty(&data)?);

    Ok(())
}

Concurrent Execution

use spider_agent::Agent;
use std::sync::Arc;

let agent = Arc::new(Agent::builder()
    .with_openai("sk-...", "gpt-4o")
    .with_search_serper("serper-key")
    .with_max_concurrent_llm_calls(10)
    .build()?);

// Execute multiple searches concurrently
let queries = vec!["rust async", "rust web frameworks", "rust databases"];
let mut handles = Vec::new();

for query in queries {
    let agent = agent.clone();
    let query = query.to_string();
    handles.push(tokio::spawn(async move {
        agent.search(&query).await
    }));
}

// Collect results
for handle in handles {
    let result = handle.await??;
    println!("Found {} results", result.results.len());
}

Research with Synthesis

use spider_agent::{Agent, ResearchOptions};

let agent = Agent::builder()
    .with_openai("sk-...", "gpt-4o")
    .with_search_serper("serper-key")
    .build()?;

let research = agent.research(
    "How do Tokio and async-std compare?",
    ResearchOptions::new()
        .with_max_pages(5)
        .with_synthesize(true),
).await?;

println!("Summary: {}", research.summary.unwrap());

Feature Flags

Examples

# Basic search
SERPER_API_KEY=xxx cargo run --example basic_search --features search_serper

# Extract data
OPENAI_API_KEY=xxx cargo run --example extract --features openai

# Research
OPENAI_API_KEY=xxx SERPER_API_KEY=xxx cargo run --example research --features "openai search_serper"

# Concurrent execution
OPENAI_API_KEY=xxx SERPER_API_KEY=xxx cargo run --example concurrent --features "openai search_serper"

API Reference

Agent

The main struct for all agent operations:

• search(query) - Search the web
• search_with_options(query, options) - Search with custom options
• fetch(url) - Fetch a URL
• extract(html, prompt) - Extract data from HTML using LLM
• extract_structured(html, schema) - Extract data matching a JSON schema
• research(topic, options) - Research a topic with synthesis
• prompt(messages) - Send a prompt to the LLM
• memory_get/set/clear() - Session memory operations

AgentBuilder

Configure and build agents:

Agent::builder()
    .with_config(config)
    .with_system_prompt("You are a helpful assistant")
    .with_max_concurrent_llm_calls(10)
    .with_openai(api_key, model)
    .with_search_serper(api_key)
    .build()

License

MIT