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Eugene Yurtsev
2024-12-16 17:55:29 -05:00
parent d45eb0f9f2
commit 9615580a66
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docs/docs/cloud/quick_start.md
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@@ -28,7 +28,7 @@ We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-
??? note "1. Log in to [LangSmith](https://smith.langchain.com/)"
<figure markdown="1">
![Login to LangSmith](deployment/img/01_login.png){: style="max-height:300px"}
[![Login to LangSmith](deployment/img/01_login.png){: style="max-height:300px"}](deployment/img/01_login.png)
<figcaption>
Go to [LangSmith](https://smith.langchain.com/) and log in. If you don't have an account, you can sign up for free.
</figcaption>
@@ -38,7 +38,7 @@ We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-
??? note "2. Click on <em>LangGraph Platform</em> (the left sidebar)"
<figure markdown="1">
![Login to LangSmith](deployment/img/02_langgraph_platform.png){: style="max-height:300px"}
[![Login to LangSmith](deployment/img/02_langgraph_platform.png){: style="max-height:300px"}](deployment/img/02_langgraph_platform.png)
<figcaption>
Select **LangGraph Platform** from the left sidebar.
</figcaption>
@@ -47,7 +47,7 @@ We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-
??? note "3. Click on + New Deployment (top right corner)"
<figure markdown="1">
![Login to LangSmith](deployment/img/03_deployments_page.png){: style="max-height:300px"}
[![Login to LangSmith](deployment/img/03_deployments_page.png){: style="max-height:300px"}](deployment/img/03_deployments_page.png)
<figcaption>
Click on **+ New Deployment** to create a new deployment. This button is located in the top right corner.
It'll open a new modal where you can fill out the required fields.
@@ -57,7 +57,7 @@ We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-
??? note "4. Click on Import from GitHub (first time users)"
<figure markdown="1">
![image](deployment/img/04_create_new_deployment.png)
[![image](deployment/img/04_create_new_deployment.png)](deployment/img/04_create_new_deployment.png)
<figcaption>
Click on **Import from GitHub** and follow the instructions to connect your GitHub account. This step is needed for **first-time users** or to add private repositories that haven't been connected before.</figcaption>
</figure>
@@ -65,7 +65,7 @@ We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-
??? note "5. Select the repository, configure ENV vars etc"
<figure markdown="1">
![image](deployment/img/05_configure_deployment.png)
[![image](deployment/img/05_configure_deployment.png){: style="max-height:300px"}](deployment/img/05_configure_deployment.png)
<figcaption>
Select the <strong>repository</strong>, add env variables and secrets, and set other configuration options.
</figcaption>
@@ -73,20 +73,20 @@ We will use the pre-built python [**ReAct Agent**](https://github.com/langchain-
- **Repository**: Select the repository you forked earlier (or any other repository you want to deploy).
- Set the secrets and environment variables required by your application. For the **ReAct Agent** template, you need to set the following secrets:
- `ANTHROPIC_API_KEY`
- `TAVILY_API_KEY`
- **ANTHROPIC_API_KEY**: Get an API key from [Anthropic](https://console.anthropic.com/).
- **TAVILY_API_KEY**: Get an API key on the [Tavily website](https://app.tavily.com/).
??? note "7. Click Submit to Deploy!"
??? note "6. Click Submit to Deploy!"
<figure markdown="1">
![image](deployment/img/05_configure_deployment.png)
[![image](deployment/img/05_configure_deployment.png){: style="max-height:300px"}](deployment/img/05_configure_deployment.png)
<figcaption>
Please note that this step may ~15 minutes to complete. You can check the status of your deployment in the **Deployments** view.
Click the <strong>Submit</strong> button at the top right corner to deploy your application.
</figcaption>
</figure>
Please note that this step may ~15 minutes to complete. You can check the status of your deployment in the **Deployments** view.
## Lagraph Studio Web UI
@@ -95,7 +95,7 @@ Once your application is deployed, you can test it in **LangGraph Studio**.
??? note "1. Click on an existing deployment"
<figure markdown="1">
![image](deployment/img/07_deployments_page.png){: style="max-height:300px"}
[![image](deployment/img/07_deployments_page.png){: style="max-height:300px"}](deployment/img/07_deployments_page.png)
<figcaption>
Click on the deployment you just created to view more details.
</figcaption>
@@ -104,14 +104,14 @@ Once your application is deployed, you can test it in **LangGraph Studio**.
??? note "2. Click on LangGraph Studio"
<figure markdown="1">
![image](deployment/img/08_deployment_view.png){: style="max-height:300px"}
[![image](deployment/img/08_deployment_view.png){: style="max-height:300px"}](deployment/img/08_deployment_view.png)
<figcaption>
Click on the <strong>LangGraph Studio</strong> button to open LangGraph Studio.
</figcaption>
</figure>
<figure markdown="1">
![image](deployment/img/09_langgraph_studio.png){: style="max-height:400px"}
[![image](deployment/img/09_langgraph_studio.png){: style="max-height:400px"}](deployment/img/09_langgraph_studio.png)
<figcaption>
Sample graph run in LangGraph Studio.
</figcaption>