WEBDIENSTE/langgraph
1
0
Fork 0
mirror of https://github.com/langchain-ai/langgraph.git synced 2026-08-25 17:12:26 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update Deploy to Cloud docs. (#1847)

Browse Source
This commit is contained in:
Andrew Nguonly
2024-09-25 15:22:54 -07:00
committed by GitHub
parent f337d5d9f8
commit c3cbf2eb0d
1 changed files with 14 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/docs/cloud/deployment/cloud.md
+14 -2
View File
@@ -17,11 +17,14 @@ Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmi
1. `Deployment details`
1. Select `Import from GitHub` and follow the GitHub OAuth workflow to install and authorize LangChain's `hosted-langserve` GitHub app to access the selected repositories. After installation is complete, return to the `Create New Deployment` panel and select the GitHub repository to deploy from the dropdown menu.
1. Specify a name for the deployment.
1. Specify the desired `Git Branch`. A deployment is linked to a branch. When a new revision is created, code for the linked branch will be deployed. The branch can be updated later in the [Deployment Settings](#deployment-settings).
1. Specify the full path to the [LangGraph API config file](../reference/cli.md#configuration-file) including the file name. For example, if the file `langgraph.json` is in the root of the repository, simply specify `langgraph.json`.
1. Specify the desired `git` reference (e.g. branch name). For example, different branches of the repository can be deployed.
1. Select the desired `Deployment Type`.
1. `Development` deployments are meant for non-production use cases and are provisioned with minimal resources.
1. `Production` deployments can serve up to 500 requests/second and are provisioned with highly available storage with automatic backups.
1. Determine if the deployment should be `Shareable through LangGraph Studio`.
1. If unchecked, the deployment will only be accessible with a valid LangSmith API key for the workspace.
1. If checked, the deployment will be accessible through LangGraph Studio to any LangSmith user. A direct URL to LangGraph Studio for the deployment will be provided to share with other LangSmith users.
1. Specify `Environment Variables` and secrets. See the [Environment Variables reference](../reference/env_var.md) to configure additional variables for the deployment.
1. Sensitive values such as API keys (e.g. `OPENAI_API_KEY`) should be specified as secrets.
1. Additional non-secret environment variables can be specified as well.
@@ -39,7 +42,9 @@ Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmi
1. In the `Deployment` view, in the top-right corner, select `+ New Revision`.
1. In the `New Revision` modal, fill out the required fields.
1. Specify the full path to the [LangGraph API config file](../reference/cli.md#configuration-file) including the file name. For example, if the file `langgraph.json` is in the root of the repository, simply specify `langgraph.json`.
1. Specify the desired `git` reference (e.g. branch name). For example, different branches of the repository can be deployed.
1. Determine if the deployment should be `Shareable through LangGraph Studio`.
1. If unchecked, the deployment will only be accessible with a valid LangSmith API key for the workspace.
1. If checked, the deployment will be accessible through LangGraph Studio to any LangSmith user. A direct URL to LangGraph Studio for the deployment will be provided to share with other LangSmith users.
1. Specify `Environment Variables` and secrets. Existing secrets and environment variables are prepopulated. See the [Environment Variables reference](../reference/env_var.md) to configure additional variables for the revision.
1. Add new secrets or environment variables.
1. Remove existing secrets or environment variables.
@@ -76,3 +81,10 @@ Starting from the <a href="https://smith.langchain.com/" target="_blank">LangSmi
1. In the left-hand navigation panel, select `Deployments`. The `Deployments` view contains a list of existing LangGraph Cloud deployments.
1. Select the menu icon (three dots) on the right-hand side of the row for the desired deployment and select `Delete`.
1. A `Confirmation` modal will appear. Select `Delete`.
## Deployment Settings
Starting from the `Deployment` view...
1. In the top-right corner, select the gear icon (`Deployment Settings`).
1. Update the `Git Branch` to the desired branch.