Zip 基于 LangGraph 和 LangSmith 重建聊天机器人
Adding a new feature to @theziphq's agent used to take weeks. Their used to hand-build the code for ...
Zip 把手搓的 LLM 调用和存储代码换成了 LangGraph，零代码接入 LangSmith 就能看全量 trace，做 agent 可观测性的可以参考。
采购公司 Zip 此前为自家 agent 手写 LLM 调用、存储和上下文相关代码，给 agent 添加一个新功能需要数周时间。团队改用 LangGraph 和 LangSmith 重建聊天机器人后，没有写一行可观测性代码就能看到每一条 trace。重建后新功能的交付速度相比过去数周的周期明显缩短。
Adding a new feature to @theziphq's agent used to take weeks. Their used to hand-build the code for ...
Adding a new feature to @theziphq 's agent used to take weeks. Their used to hand-build the code for LLM calls, storage and context. They rebuilt their chatbot on LangGraph and LangSmith, and every trace was there without them writing a single line of code. Full story ⤵️ Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 0 ❤️ 0 ⚡
