AgentBench vs garak
AgentBench
github.comgarak
garak.aiSide by side
| Figure | AgentBench | garak |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · LLM Evaluation Tools | 7.8 (#10) | 7.8 (#12) |
| Deployment | The project documents a one-command setup for AgentBench FC tasks using Docker Compose. | garak is a command-line tool developed in Linux and OSX and can be installed with pip or from source. |
| Maintainer | The THUDM GitHub profile identifies the group as THUKEG and lists FIT Building, Tsinghua University as its location. | The project website says garak is backed by NVIDIA and is updated by NVIDIA and the community. |
| Purpose | AgentBench is a benchmark for evaluating the reasoning and decision-making abilities of LLMs acting as agents. | garak is an LLM vulnerability scanner that probes language models and systems using them for security weaknesses. |
| Support | The project invites users to join its Slack for questions and collaboration, and lists a Google Group for questions about AgentBench FC. | The project points users to its user guide, reference documentation, Discord, GitHub issues, and an NVIDIA email address for support. |
Plans
In their own words
garak
garak is a command-line scanner for probing language models and systems that use them for security weaknesses. Its checks cover issues such as hallucination, data leakage, prompt injection, misinformation, toxicity generation, and jailbreaks. Probes try to elicit failures, while detectors inspect responses for patterns such as unsafe content or a failure to refuse. A standard scan can run without supervision and produce a report, with scan settings available for customization. Integrations include OpenAI, Hugging Face, Cohere, Replicate, AWS Bedrock, LiteLLM, REST-accessible models, and custom Python integrations. Hugging Face models can run locally or be accessed through an inference API or private endpoint. Output includes screen results, a detailed report log, a hit log, and a debug log. garak assesses text output only. It is developed in Linux and OSX and can be installed with pip or from source; listed platforms include Linux, macOS, Windows, and self-hosted use. It is free, with a free plan and no free trial. Listed capabilities include custom metrics, LLM-as-a-judge, and safety evaluations.