diff --git a/docs/docs/cloud/quick_start.md b/docs/docs/cloud/quick_start.md
index 5cbd5245a..254062941 100644
--- a/docs/docs/cloud/quick_start.md
+++ b/docs/docs/cloud/quick_start.md
@@ -41,7 +41,7 @@ This tutorial will use:
         tavily-python
         langchain_community
 
-4. The `langgraph.json` file is a configuration file that describes what graph(s) you are going to host. In this case we only have one graph to host: the compiled `graph` object from `agent.py`.
+4. The [`langgraph.json`][langgraph.json] file is a configuration file that describes what graph(s) you are going to host. In this case we only have one graph to host: the compiled `graph` object from `agent.py`.
 
     ```json
     {
@@ -65,7 +65,7 @@ Now that we have set everything up on our local file system, we are ready to hos
 
 ## Test the graph build locally
 
-Before deploying to the cloud, we probably want to test the building of our graph locally. This is useful to make sure we have configured our CLI configuration file correctly and our graph runs.
+Before deploying to the cloud, we probably want to test the building of our graph locally. This is useful to make sure we have configured our [CLI configuration file][langgraph.json] correctly and our graph runs.
 
 In order to do this we can first install the LangGraph CLI
 
diff --git a/docs/docs/cloud/reference/cli.md b/docs/docs/cloud/reference/cli.md
index a548575d5..815294040 100644
--- a/docs/docs/cloud/reference/cli.md
+++ b/docs/docs/cloud/reference/cli.md
@@ -6,6 +6,7 @@ The LangGraph CLI includes commands to build and run a LangGraph Cloud API serve
 2. Install the `langgraph-cli` Python package (e.g. `pip install langgraph-cli`).
 3. Run the command `langgraph --help` to confirm that the CLI is installed.
 
+[](){#langgraph.json}
 ## Configuration File
 The LangGraph CLI requires a JSON configuration file with the following keys: