你的大型语言模型忽视了其工具 — 基于 Elastic Agent Builder 的本地工具调用实用指南
📄 中文摘要
在使用 Ollama 提供模型并将其连接到 Elastic Agent Builder 后,尽管连接正常且代理加载成功,但模型却未能调用任何工具,反而仅以友好的段落回应用户提问。这种无声的失败模式导致开发团队浪费了两天时间,且在任何文档中都未有相关说明。该实用指南旨在帮助开发者避免类似问题,提供了在构建医疗队列代理时的经验教训,尤其是在使用 Elasticsearch Agent Builder 的过程中。
📄 English Summary
Your LLM Is Ignoring Its Tools — A Field Guide to On-Prem Tool Calling with Elastic Agent Builder
After selecting a model and serving it with Ollama, the integration with Elastic Agent Builder appears successful with a green connector and loaded agent. However, when a question is posed, the model responds with a friendly paragraph without invoking any tools. This silent failure mode, which is undocumented, resulted in a loss of two days for the development team. This field guide aims to assist developers in avoiding similar issues, sharing lessons learned during the construction of the Medical Cohort Agent, particularly when utilizing Elasticsearch Agent Builder.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等