This framework enables autonomous research experiments using large language models as intelligent agents. The system supports multiple concurrent agents working together to solve complex research problems.
Key Features
• Multi-agent coordination
• Automated experiment pipeline
• Real-time result analysis
• Extensible agent framework
Example API Request:
def run_experiment(model, dataset): results
[l for agent in agents:
agent . initialize(model) result = agent. analyze(dataset)
results. append( result) return aggregate _ results( results)