[Docs] Dynamically return directly from a tool node (#164)

langchain-ai · May 18, 2024 · 5cd26b2 · 5cd26b2
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diff --git a/docs/docs/how-tos/index.md b/docs/docs/how-tos/index.md
@@ -1,12 +1,11 @@
 # How-to guides
 
-Welcome to the LangGraphJS How-to Guides! These guides provide practical, step-by-step instructions for accomplishing key tasks in LangGraphJS. 
+Welcome to the LangGraphJS How-to Guides! These guides provide practical, step-by-step instructions for accomplishing key tasks in LangGraphJS.
 
 ## In progress
 
 🚧 This section is currently in progress. More updates to come! 🚧
 
-
 ## Core
 
 The core guides show how to address common needs when building a out AI workflows, with special focus placed on [ReAct](https://arxiv.org/abs/2210.03629)-style agents with [tool calling](https://js.langchain.com/v0.2/docs/how_to/tool_calling/).
@@ -26,4 +25,5 @@ How to apply common design patterns in your workflows:
 
 The following examples are useful especially if you are used to LangChain's AgentExecutor configurations.
 
-- [Force calling a tool first](force-calling-a-tool-first.ipynb): Define a fixed workflow before ceding control to the ReAct agent
+- [Force calling a tool first](force-calling-a-tool-first.ipynb): Define a fixed workflow before ceding control to the ReAct agent
+- [Dynamic direct return](dynamically-returning-directly.ipynb): Let the LLM decide whether the graph should finish after a tool is run or whether the LLM should be able to review the output and keep going
diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml
@@ -94,6 +94,7 @@ nav:
  - "how-tos/subgraph.ipynb"
  - "how-tos/human-in-the-loop.ipynb"
  - "how-tos/force-calling-a-tool-first.ipynb"
+ - "how-tos/dynamically-returning-directly.ipynb"
  - "Conceptual Guides":
  - "concepts/index.md"
  - "Reference":