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William Fu-Hinthorn
2024-12-17 14:04:31 -08:00
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docs/docs/tutorials/index.md
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@@ -11,9 +11,9 @@ New to LangGraph or LLM app development? Read this material to get up and runnin
## Get Started
- [LangGraph Quickstart](introduction.ipynb): Build a chatbot that can use tools and keep track of conversation history. Add human-in-the-loop capabilities and explore how time-travel works.
- [LangGraph Server Quickstart](langgraph-platform/local-server.md): Launch a LangGraph server locally and interact with it using the REST API and LangGraph Studio Web UI.
- [LangGraph Cloud QuickStart](../cloud/quick_start.md): Deploy a LangGraph app using LangGraph Cloud.
- [LangGraph Template Quickstart](../concepts/template_applications.md): Quickly start building with LangGraph Platform using a template application.
- [LangGraph Server Quickstart](langgraph-platform/local-server.md): Launch a LangGraph server locally and interact with it using REST API and LangGraph Studio Web UI.
- [LangGraph Template Quickstart](../concepts/template_applications.md): Start building with LangGraph Platform using a template application.
- [Deploy with LangGraph Cloud Quickstart](../cloud/quick_start.md): Deploy a LangGraph app using LangGraph Cloud.
## Use cases
docs/docs/tutorials/langgraph-platform/local-server.md
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@@ -1,4 +1,4 @@
# Quick Start: Launch Local LangGraph Server
# QuickStart: Launch Local LangGraph Server
This is a quick start guide to help you get a LangGraph app up and running locally.
@@ -10,7 +10,7 @@ This is a quick start guide to help you get a LangGraph app up and running local
## Install the LangGraph CLI
```bash
pip install -U "langgraph-cli[inmem]" python-dotenv
pip install --upgrade "langgraph-cli[inmem]"
```
## 🌱 Create a LangGraph App
@@ -53,21 +53,12 @@ ANTHROPIC_API_KEY=sk-
OPENAI_API_KEY=sk-...
```
<details><summary>Get API Keys</summary>
<ul>
<li> <b>LANGSMITH_API_KEY</b>: Go to the <a href="https://smith.langchain.com/settings">LangSmith Settings page</a>. Then clck <b>Create API Key</b>.
</li>
<li>
<b>ANTHROPIC_API_KEY</b>: Get an API key from <a href="https://console.anthropic.com/">Anthropic</a>.
</li>
<li>
<b>OPENAI_API_KEY</b>: Get an API key from <a href="https://openai.com/">OpenAI</a>.
</li>
<li>
<b>TAVILY_API_KEY</b>: Get an API key on the <a href="https://app.tavily.com/">Tavily website</a>.
</li>
</ul>
</details>
??? note "Get API Keys"
- **LANGSMITH_API_KEY**: Go to the [LangSmith Settings page](https://smith.langchain.com/settings). Then clck **Create API Key**.
- **ANTHROPIC_API_KEY**: Get an API key from [Anthropic](https://console.anthropic.com/).
- **OPENAI_API_KEY**: Get an API key from [OpenAI](https://openai.com/).
- **TAVILY_API_KEY**: Get an API key on the [Tavily website](https://app.tavily.com/).
## 🚀 Launch LangGraph Server
@@ -79,11 +70,11 @@ This will start up the LangGraph API server locally. If this runs successfully,
> Ready!
>
> - API: [http://localhost:8123](http://localhost:8123/)
> - API: [http://localhost:2024](http://localhost:2024/)
>
> - Docs: http://localhost:8123/docs
> - Docs: http://localhost:2024/docs
>
> - LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:8123
> - LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024
!!! note "In-Memory Mode"
@@ -95,9 +86,9 @@ This will start up the LangGraph API server locally. If this runs successfully,
## LangGraph Studio Web UI
Test your graph in the LangGraph Studio Web UI by visiting the URL provided in the output of the `langgraph up` command.
Test your graph in the LangGraph Studio Web UI by visiting the URL provided in the output of the `langgraph dev` command.
> - LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:8123
> - LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024
!!! warning "Safari Compatibility"
@@ -118,7 +109,7 @@ Test your graph in the LangGraph Studio Web UI by visiting the URL provided in t
```python
from langgraph_sdk import get_client
client = get_client(url="http://localhost:8123")
client = get_client(url="http://localhost:2024")
async for chunk in client.runs.stream(
None, # Threadless run
@@ -149,7 +140,7 @@ Test your graph in the LangGraph Studio Web UI by visiting the URL provided in t
```python
from langgraph_sdk import get_sync_client
client = get_sync_client(url="http://localhost:8123")
client = get_sync_client(url="http://localhost:2024")
for chunk in client.runs.stream(
None, # Threadless run
@@ -181,7 +172,7 @@ Test your graph in the LangGraph Studio Web UI by visiting the URL provided in t
const { Client } = await import("@langchain/langgraph-sdk");
// only set the apiUrl if you changed the default port when calling langgraph up
const client = new Client({ apiUrl: "http://localhost:8123"});
const client = new Client({ apiUrl: "http://localhost:2024"});
const streamResponse = client.runs.stream(
null, // Threadless run
@@ -207,7 +198,7 @@ Test your graph in the LangGraph Studio Web UI by visiting the URL provided in t
```bash
curl -s --request POST \
--url "http://localhost:8123/runs/stream" \
--url "http://localhost:2024/runs/stream" \
--header 'Content-Type: application/json' \
--data "{
\"assistant_id\": \"agent\",
@@ -235,7 +226,7 @@ Now that you have a LangGraph app running locally, take your journey further by
### 🌐 Deploy to LangGraph Cloud
- **[LangGraph Cloud QuickStart](../../cloud/quick_start.md)**: Deploy your LangGraph app using LangGraph Cloud.
- **[LangGraph Cloud Quickstart](../../cloud/quick_start.md)**: Deploy your LangGraph app using LangGraph Cloud.
### 📚 Learn More about LangGraph Platform