docs: update getting started docs for studio (#3542)

This commit is contained in:
David Duong
2025-02-27 15:41:52 +01:00
committed by GitHub
7 changed files with 84 additions and 90 deletions
+2 -5
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@@ -59,12 +59,10 @@ LangGraph makes it easy to manage conversation [memory](../concepts/memory.md) i
[Human-in-the-loop](../concepts/human_in_the_loop.md) functionality allows
you to involve humans in the decision-making process of your graph. These how-to guides show how to implement human-in-the-loop workflows in your graph.
Key workflows:
- [How to wait for user input](human_in_the_loop/wait-user-input.ipynb): A basic example that shows how to implement a human-in-the-loop workflow in your graph using the `interrupt` function.
- [How to review tool calls](human_in_the_loop/review-tool-calls.ipynb): Incorporate human-in-the-loop for reviewing/editing/accepting tool call requests before they executed using the `interrupt` function.
Other methods:
@@ -290,10 +288,9 @@ Graph execution can take a while, and sometimes users may change their mind abou
LangGraph Studio is a built-in UI for visualizing, testing, and debugging your agents.
- [How to connect to a LangGraph Cloud deployment](../cloud/how-tos/test_deployment.md)
- [How to connect to a LangGraph Platform deployment](../cloud/how-tos/test_deployment.md)
- [How to connect to a local dev server](../how-tos/local-studio.md)
- [How to connect to a local deployment (Docker)](../cloud/how-tos/test_local_deployment.md)
- [How to test your graph in LangGraph Studio (MacOS only)](../cloud/how-tos/invoke_studio.md)
- [How to interact with threads in LangGraph Studio](../cloud/how-tos/threads_studio.md)
- [How to add nodes as dataset examples in LangGraph Studio](../cloud/how-tos/datasets_studio.md)
- [How to engineer prompts in LangGraph Studio](../cloud/how-tos/iterate_graph_studio.md)
@@ -312,4 +309,4 @@ These are the guides for resolving common errors you may find while building wit
These guides provide troubleshooting information for errors that are specific to the LangGraph Platform.
- [INVALID_LICENSE](../troubleshooting/errors/INVALID_LICENSE.md)
- [INVALID_LICENSE](../troubleshooting/errors/INVALID_LICENSE.md)
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@@ -1,15 +1,6 @@
# How to connect a local agent to LangGraph Studio
This guide shows you how to connect your local agent to [LangGraph Studio](../concepts/langgraph_studio.md) for visualization, interaction, and debugging.
## Connection Options
There are two ways to connect your local agent to LangGraph Studio:
- [Development Server](../concepts/langgraph_studio.md#development-server-with-web-ui): Python package, all platforms, no Docker
- [LangGraph Desktop](../concepts/langgraph_studio.md#desktop-app): Application, Mac only, requires Docker
In this guide we will cover how to use the development server as that is generally an easier and better experience.
This guide shows you how to connect your local agent to [LangGraph Studio](../concepts/langgraph_studio.md) for visualization, interaction, and debugging using the development server.
## Setup your application
@@ -24,9 +15,8 @@ You will need to make sure to install the `inmem` extras.
???+ note "Minimum version"
The minimum version to use the `inmem` extra with `langgraph-cli` is `0.1.55`.
Python 3.11 or higher is required.
The minimum version to use the `inmem` extra with `langgraph-cli` is `0.1.55`.
Python 3.11 or higher is required.
```shell
pip install -U "langgraph-cli[inmem]"
@@ -41,7 +31,7 @@ pip install -U "langgraph-cli[inmem]"
langgraph dev
```
This will look for the `langgraph.json` file in your current directory.
This will look for the `langgraph.json` file in your current directory.
In there, it will find the paths to the graph(s), and start those up.
It will then automatically connect to the cloud-hosted studio.
@@ -89,4 +79,4 @@ Then attach your preferred debugger:
2. Click + and select "Python Debug Server"
3. Set IDE host name: `localhost`
4. Set port: `5678` (or the port number you chose in the previous step)
5. Click "OK" and start debugging
5. Click "OK" and start debugging