GAIA Agent SDK: Build Production-Ready Super Agents for GAIA Benchmarks in Seconds
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GAIA Agent SDK: Build Production-Ready Super Agents for GAIA Benchmarks in Seconds

LavX Team
2 min read

The GAIA Agent SDK revolutionizes AI agent development by offering a pre-configured toolkit to create GAIA Benchmark-ready agents with 18+ integrated tools. This open-source solution slashes weeks of infrastructure work to just three lines of code while supporting ReAct reasoning, multi-step planning, and swappable providers.

GAIA Agent SDK

Developing AI agents capable of handling complex real-world tasks like the GAIA Benchmark typically requires weeks of integrating APIs, writing tool wrappers, and debugging infrastructure. The newly open-sourced GAIA Agent SDK eliminates this friction by providing a production-ready foundation for building 'Super Agents' in seconds.

The GAIA Benchmark Challenge

GAIA evaluates AI systems across reasoning, web search, code execution, and browser automation through increasingly complex tasks (Level 1-3). Traditional approaches demand extensive setup:

// Typical manual process
import { nightmare } from 'agent-dev';
const apiIntegrations = await nightmare({
  duration: 'weeks',
  errorHandling: 'custom_per_service',
  providerResearch: 'endless'
});

SDK Revolution: 3 Lines to Super Agent

GAIA Agent SDK abstracts this complexity:

import { createGaiaAgent } from '@gaia-agent/sdk';
const agent = createGaiaAgent(); // Reads .env automatically
const result = await agent.generate({
  prompt: 'Calculate 15 * 23 and find latest arXiv AI papers'
});

Core Capabilities

  • ReAct Reasoning: Built-in Reasoning + Acting framework for structured task decomposition
  • 18+ Pre-Integrated Tools: Including Tavily/Exa search, E2B sandbox, Steel browser automation, and Mem0 memory
  • Provider Swapping: One-line changes between services (e.g., search: 'exa')
  • Benchmark Mode: Execute GAIA tasks with granular analytics:
    pnpm benchmark:search # Web search tasks
    pnpm benchmark:wrong --verbose # Retry failed tasks
    

Enhanced Benchmark Analytics

The SDK captures unprecedented detail:

{
  "taskId": "abc123",
  "correct": false,
  "toolsUsed": ["search", "calculator"],
  "stepDetails": [/* ReAct trace */],
  "summary": {"totalToolCalls": 7, "hadError": true}
}

Enterprise-Grade Extensibility

// Custom tool integration
import { ToolSDKApiClient } from 'toolsdk/api';
const emailTool = await toolSDK.package('@toolsdk.ai/mcp-send-email').getAISDKTool();

const agent = createGaiaAgent({
  tools: { ...getDefaultTools(), emailTool }
});

Why This Matters

GAIA Agent SDK democratizes top-tier AI agent development, allowing teams to:

  1. Validate against rigorous academic benchmarks immediately
  2. Swap infrastructure providers without code rewrites
  3. Focus on domain logic instead of plumbing

The project’s Apache 2.0 license and automated publishing pipeline ({{IMAGE:2}}) signal its readiness for commercial adoption. For AI engineers battling toolchain fragmentation, this SDK represents the missing link between experimental agents and deployable systems.

Source: gaia-agent/gaia-agent GitHub Repository

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