This document provides comprehensive information about the GAIA benchmark integration in Revolution 2.0.
The GAIA (General AI Assistant) benchmark integration provides:
- 400+ benchmark questions across 7 categories
- Production-ready evaluation system with LangChain tools
- Submission format generation for official GAIA leaderboard
- Comprehensive performance tracking and reporting
-
GaiaAgent Class (
src/agents/gaiaAgent.js)- LangChain-based agent with tool integration
- Support for Groq and GLM LLMs
- Built-in tools: DuckDuckGo search, Wikipedia, Calculator
- Custom tools: Logical Reasoning, Knowledge Verification
-
Benchmark Configuration (
src/config/gaia-benchmark-config.js)- 400+ questions across 7 categories
- Difficulty levels: easy, medium, hard
- Answer type classification (string, number, list)
-
CLI Integration (
bin/cli.js)gaiacommand with comprehensive options- Main menu integration
- Interactive configuration
- Reasoning - Logical puzzles, mathematical problems
- Knowledge - Facts, history, science
- Coding - Programming, algorithms, debugging
- Language - Comprehension, translation, linguistics
- Multimodal - Multiple data type processing
- Ethics - Moral reasoning, philosophy
- Science - Scientific methodology, experiments
# Quick test with 10 questions
node bin/cli.js gaia --max-questions 10
# Full benchmark with submission file
node bin/cli.js gaia --max-questions 400 --generate-submission
# Specific categories and difficulty
node bin/cli.js gaia --category reasoning knowledge --difficulty hard
# Interactive menu mode
node bin/cli.js
# Select "🧪 GAIA Benchmark Testing Suite"import { GaiaAgent } from './src/index.js';
const agent = new GaiaAgent({
model: "mixtral-8x7b-32768",
enableTools: true,
verbose: true
});
await agent.initialize();
const results = await agent.runBenchmarkSuite({
categories: ["reasoning", "knowledge"],
difficulty: "medium",
maxQuestions: 50
});
const submissionFile = await agent.generateSubmissionFile(results);
const summary = agent.generateBenchmarkSummary(results);revolution/
├── src/
│ ├── agents/
│ │ ├── gaiaAgent.js # Main GAIA agent implementation
│ │ └── ...
│ └── config/
│ ├── gaia-benchmark-config.js # 400+ benchmark questions
│ └── ...
├── bin/
│ └── cli.js # CLI integration with gaia command
├── submissions/ # Generated submission files
└── reports/ # Detailed benchmark reports
The system provides multiple interaction modes:
- Quick Test - 10 questions for rapid validation
- Full Test - 50 questions with submission file
- Custom Test - Choose categories, difficulty, and question count
- Generate Submission - Create official GAIA submission format
Generates official GAIA submission files in JSONL format:
{"task_id": "task_001", "model_answer": "canberra", "reasoning_trace": "Capital of Australia is Canberra..."}
{"task_id": "task_002", "model_answer": "6 PM", "reasoning_trace": "Meeting time calculation..."}const agent = new GaiaAgent({
model: "mixtral-8x7b-32768", // LLM model
temperature: 0.2, // Response randomness
maxTokens: 4000, // Maximum response length
enableTools: true, // Enable LangChain tools
maxIterations: 5, // Agent tool usage limit
verbose: false // Debug output
});The system tracks:
- Confidence scores for each answer
- Response times for performance analysis
- Tool usage patterns
- Category-specific performance
- Success rates by difficulty
# Required environment variables
export GROQ_API_KEY="your-groq-api-key"
# or
export GLM_API_KEY="your-glm-api-key"
# Install dependencies
npm install# Production mode with logging
NODE_ENV=production node bin/cli.js gaia --generate-submission
# Continuous monitoring mode
node bin/cli.js gaia --continuous --max-questions 100The system generates:
- Official GAIA format JSONL files
- Reasoning traces for each answer
- Proper answer formatting (FINAL ANSWER: [answer])
- Metadata tracking for evaluation
- Enforces GAIA required format: "FINAL ANSWER: [answer]"
- Handles string, number, and list answer types
- Automatic normalization for submission
- Graceful degradation when tools fail
- Fallback to direct LLM calls
- Comprehensive logging and error reporting
- Tool selection based on category and difficulty
- Response caching for repeated questions
- Progress tracking for long-running benchmarks
The GAIA agent integrates with:
- LangChain for tool orchestration
- Revolution logging for consistent error tracking
- CLI framework for seamless user experience
- File system for result persistence
Generate comprehensive reports including:
- Executive summary with key metrics
- Category breakdown by performance
- Tool usage analysis
- Recommendations for improvement
- Submission readiness checklist
-
Initialize the agent:
node bin/cli.js # Select "🧪 GAIA Benchmark Testing Suite" -
Run your first test:
- Choose "Quick Test (10 questions)"
- Review results and performance metrics
-
Generate submission file:
- Choose "Generate Submission File"
- Find submission in
./submissions/directory
-
Analyze performance:
- Review generated reports in
./reports/ - Use recommendations to improve results
- Review generated reports in
The system is now production-ready for GAIA benchmark evaluation!