Harness: ✅ (DeepAgents) Sandboxes: ✅ (LangSmith Sandboxes) Eval: ✅ (LangSmith Sandboxes Model: integ...
TL;DR · AI 摘要
Harrison Chase on X: "Harness: ✅ DeepAgents Sandboxes: ✅ LangSmith Sandboxes Eval: ✅ LangSmith Sandboxes Model: integrat...
核心要点
- 主题聚焦：Harness: ✅ DeepAgents Sandboxes: ✅ LangSmith San
- 来源：Harrison Chase(@hwchase17)，建议结合原文判断细节。
- AI 分析暂不可用，本条为保底评分与摘要。
Harrison Chase on X: "Harness: ✅ (DeepAgents) Sandboxes: ✅ (LangSmith Sandboxes) Eval: ✅ (LangSmith Sandboxes Model: integrate with all the popular models and providers Plus we have the engine that helps you turn this flywheel: LangSmith Engine https://t.co/NLeUafWZtz own your agents!" / X
Harrison Chase
@hwchase17
Harness: ✅ (DeepAgents) Sandboxes: ✅ (LangSmith Sandboxes) Eval: ✅ (LangSmith Sandboxes Model: integrate with all the popular models and providers Plus we have the engine that helps you turn this flywheel: LangSmith Engine
docs.langchain.com/langsmith/engi…
own your agents!
Aravind Srinivas
@AravSrinivas
Jun 27
Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around.
LangSmith Engine - Docs by LangChain
From docs.langchain.com
6:08 PM · Jun 28, 2026
7.6K
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