From c16e42e6d553f76e2cecb817362738e861717c9e Mon Sep 17 00:00:00 2001 From: Sam Crowder Date: Tue, 1 Jul 2025 06:52:26 -0700 Subject: [PATCH] fix broken link (#5291) * fix broken link * Apply suggestions from code review Fix link Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --------- Co-authored-by: Lauren Hirata Singh Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com> --- README.md | 2 +- libs/langgraph/README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 617561b61..ec9967659 100644 --- a/README.md +++ b/README.md @@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with: - [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time. -- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/). +- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/). - [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development. > [!NOTE] diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md index 617561b61..ec9967659 100644 --- a/libs/langgraph/README.md +++ b/libs/langgraph/README.md @@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with: - [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time. -- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/). +- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/). - [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development. > [!NOTE]