Show HN: LangDrift – test AI agents across languages (github.com)

LangDrift, an innovative tool for evaluating AI agents' performance across different languages, has been launched. This project allows developers to rigorously test whether their agents maintain consistent behavior in tool selection, arguments, and responses when user inputs are presented in various languages, including French, Arabic, and Chinese. By exposing potential discrepancies in how agents handle localized intents, LangDrift fills a critical gap for teams that have primarily tested their functionalities in English but must expand their reach globally. The significance of LangDrift lies in its emphasis on not just translating strings but ensuring that an agent’s behavior is legitimately localized. The tool identifies failure modes where agents may default to incorrect tool calls or arguments across languages, allowing developers to benchmark and enhance their models. With functionalities such as YAML scenario execution and detailed reporting by locale, LangDrift claims to streamline the testing process, providing insights that trigger actionable improvements. This tool facilitates a shift in AI localization strategy, making it essential for developers aiming to deploy effective multilingual AI solutions.