test magic links (#92)

Co-authored-by: Kathryn May <[email protected]>

Author: lnhsingh

src/langgraph-platform/human-in-the-loop-time-travel.mdx

@@ -7,11 +7,11 @@ LangGraph provides the [**time travel**](https://langchain-ai.github.io/langgrap
 
 To time travel using the LangGraph Server API (via the LangGraph SDK):
 
-1. **Run the graph** with initial inputs using [LangGraph SDK](/langgraph-platform/python-sdk)'s [`client.runs.wait`][langgraph_sdk.client.RunsClient.wait] or [`client.runs.stream`][langgraph_sdk.client.RunsClient.stream] APIs.
-2. **Identify a checkpoint in an existing thread**: Use [`client.threads.get_history`][langgraph_sdk.client.ThreadsClient.get_history] method to retrieve the execution history for a specific `thread_id` and locate the desired `checkpoint_id`.
+1. **Run the graph** with initial inputs using [LangGraph SDK](/langgraph-platform/python-sdk)'s @[client.runs.wait] or @[client.runs.stream] APIs.
+2. **Identify a checkpoint in an existing thread**: Use @[client.threads.get_history] method to retrieve the execution history for a specific `thread_id` and locate the desired `checkpoint_id`.
   Alternatively, set a [breakpoint](https://langchain-ai.github.io/langgraph/how-tos/human_in_the_loop/add-human-in-the-loop/) before the node(s) where you want execution to pause. You can then find the most recent checkpoint recorded up to that breakpoint.
-3. **(Optional) modify the graph state**: Use the [`client.threads.update_state`][langgraph_sdk.client.ThreadsClient.update_state] method to modify the graph’s state at the checkpoint and resume execution from alternative state.
-4. **Resume execution from the checkpoint**: Use the [`client.runs.wait`][langgraph_sdk.client.RunsClient.wait] or [`client.runs.stream`][langgraph_sdk.client.RunsClient.stream] APIs with an input of `None` and the appropriate `thread_id` and `checkpoint_id`.
+3. **(Optional) modify the graph state**: Use the @[client.threads.update_state] method to modify the graph’s state at the checkpoint and resume execution from alternative state.
+4. **Resume execution from the checkpoint**: Use the @[client.runs.wait] or @[client.runs.stream] APIs with an input of `None` and the appropriate `thread_id` and `checkpoint_id`.
 
 ## Use time travel in a workflow
 

src/langgraph-platform/setup-app-requirements-txt.mdx

@@ -101,7 +101,7 @@ my-app/
 
 ## Define Graphs
 
-Implement your graphs! Graphs can be defined in a single file or multiple files. Make note of the variable names of each [CompiledStateGraph][langgraph.graph.state.CompiledStateGraph] to be included in the LangGraph application. The variable names will be used later when creating the [LangGraph configuration file](/langgraph-platform/cli#configuration-file).
+Implement your graphs! Graphs can be defined in a single file or multiple files. Make note of the variable names of each @[CompiledStateGraph] to be included in the LangGraph application. The variable names will be used later when creating the [LangGraph configuration file](/langgraph-platform/cli#configuration-file).
 
 Example `agent.py` file, which shows how to import from other modules you define (code for the modules is not shown here, please see [this repository](https://github.com/langchain-ai/langgraph-example) to see their implementation):
 

src/langgraph-platform/setup-pyproject.mdx

@@ -114,7 +114,7 @@ my-app/
 
 ## Define Graphs
 
-Implement your graphs! Graphs can be defined in a single file or multiple files. Make note of the variable names of each [CompiledStateGraph][langgraph.graph.state.CompiledStateGraph] to be included in the LangGraph application. The variable names will be used later when creating the [LangGraph configuration file](/langgraph-platform/cli#configuration-file).
+Implement your graphs! Graphs can be defined in a single file or multiple files. Make note of the variable names of each @[CompiledStateGraph] to be included in the LangGraph application. The variable names will be used later when creating the [LangGraph configuration file](/langgraph-platform/cli#configuration-file).
 
 Example `agent.py` file, which shows how to import from other modules you define (code for the modules is not shown here, please see [this repository](https://github.com/langchain-ai/langgraph-example-pyproject) to see their implementation):