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AgentBench

Benchmark for evaluating LLMs as autonomous agents.

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What is AgentBench?

AgentBench is benchmark for evaluating LLMs as autonomous agents.

About

AgentBench is a benchmarking tool designed to evaluate large language models (LLMs) as autonomous agents across various environments. It supports multiple tasks, including database interaction and operating system commands, and integrates with the AgentRL framework for enhanced functionality. This tool is ideal for researchers and developers looking to assess and improve LLM performance in agent-like scenarios.

Strengths

  • Supports a wide range of tasks and environments for LLM evaluation.
  • Easy setup with Docker Compose for quick deployment.
  • Active community and regular updates with new features.

Limitations

  • High resource requirements for certain tasks (e.g., webshop needs ~16GB RAM).
  • Some tasks may have memory leaks requiring restarts.
  • Limited documentation on advanced configurations.

Use Cases

Evaluate LLM performance in multitask environments.Benchmark LLMs on specific tasks like database queries and OS interactions.Train and assess visual foundation agents using VisualAgentBench.

Integrations

DockerAgentRLOpenAI APIRedis