Consolidate further

README.md

@@ -15,24 +15,6 @@ You can extend this graph to orchestrate more complex agentic workflows that can
 
 ## Getting Started
 
-1. Install the [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli/).
-
-```
-pip install --upgrade "langgraph-cli[inmem]"
-```
-
-2. Create a `.env` file. While this starter app does not require any secrets, if you later decide to connect to LLM providers and other integrations, you will likely need to provide API keys.
-
-```bash
-cp .env.example .env
-```
-
-3. If desired, add your LangSmith API key in your `.env` file.
-
-```
-LANGSMITH_API_KEY=lsv2...
-```
-
 <!--
 Setup instruction auto-generated by `langgraph template lock`. DO NOT EDIT MANUALLY.
 -->
@@ -41,18 +23,29 @@ Setup instruction auto-generated by `langgraph template lock`. DO NOT EDIT MANUA
 End setup instructions
 -->
 
-4. Install dependencies
+1. Install dependencies, along with the [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli/), which will be used to run the server.
 
 ```bash
 cd path/to/your/app
-pip install -e .
+pip install -e . "langgraph-cli[inmem]"
-pip install "langgraph-cli[inmem]"
 ```
 
-5. Customize the code as needed.
+2. (Optional) Customize the code and project as needed. Create a `.env` file if you need to use secrets.
-6. Start the LangGraph Server.
 
+```bash
+cp .env.example .env
 ```
+
+If you want to enable LangSmith tracing, add your LangSmith API key to the `.env` file.
+
+```text
+# .env
+LANGSMITH_API_KEY=lsv2...
+```
+
+3. Start the LangGraph Server.
+
+```shell
 langgraph dev
 ```