agency vs promptfoo
Side-by-side comparison of two AI agent tools
agencyopen-source
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
promptfooopen-source
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and
Metrics
| agency | promptfoo | |
|---|---|---|
| Stars | 505 | 18.9k |
| Star velocity /mo | -7.5 | 1.7k |
| Commits (90d) | — | — |
| Releases (6m) | 0 | 10 |
| Overall score | 0.24332300518156355 | 0.7957593044797683 |
Pros
- +纯Go实现提供卓越性能和类型安全，无需Python或JavaScript依赖
- +支持清洁架构原则，业务逻辑与实现分离，代码可维护性高
- +易于扩展的接口设计，可创建自定义操作并组合成复杂AI流程
- +Comprehensive testing suite covering both performance evaluation and security red teaming in a single tool
- +Multi-provider support with easy comparison between OpenAI, Anthropic, Claude, Gemini, Llama and dozens of other models
- +Strong CI/CD integration with automated pull request scanning and code review capabilities for production deployments
Cons
- -相对较新的库，GitHub星数较少(506)，社区规模有限
- -Go生态系统中AI库相对稀缺，可能缺乏一些成熟Python库的高级功能
- -文档和示例相对有限，学习资源可能不如主流AI库丰富
- -Requires API keys and credits for multiple LLM providers, which can become expensive for extensive testing
- -Command-line focused interface may have a learning curve for teams preferring GUI-based tools
- -Limited to evaluation and testing - does not provide actual LLM application development capabilities
Use Cases
- •构建高性能的AI聊天机器人和对话系统
- •开发复杂的数据分析和处理管道，利用LLM进行智能分析
- •创建自主AI代理系统，实现多步骤推理和决策流程
- •Automated testing and evaluation of prompt performance across different models before production deployment
- •Security vulnerability scanning and red teaming of LLM applications to identify potential risks and compliance issues
- •Systematic comparison of model performance and cost-effectiveness to optimize AI application architecture