Use Self-Hosted CodeRabbit With GitLab
The self-hosted option is only available for CodeRabbit Enterprise customers with 500 user seats or more. Please contact CodeRabbit Sales to learn more about the CodeRabbit Enterprise plan.
Create a GitLab User
- Username: Set the username to "CodeRabbit" for easier identification (optional).
- Profile Image: Use the CodeRabbitAI logo for the user image (optional).
Add User to Projects
Add the CodeRabbit user to each project where you want CodeRabbit to post reviews, with at least Developer
access.
Create a Personal Access Token for CodeRabbit user
Generate a personal access token for the CodeRabbit user to be added in the .env
file as GITLAB_BOT_TOKEN
.
Necessary Scopes:
api
Consult official CodeRabbitAI documentation for a detailed guide on creating personal access tokens.
Add a webhook to each project
-
Navigate to Add Webhook Page: Go to the webhook configuration page in the desired GitLab project.
-
Add Webhook URL: Enter the URL pointing to the CodeRabbit service, followed by
/gitlab_webhooks
(e.g.,http://127.0.0.1:8080/gitlab_webhooks
). -
Generate and Save Secret Token: Generate a secret token, add it to the webhook, and store it securely. This will be needed for the
.env
file asGITLAB_WEBHOOK_SECRET
(you can use a single secret token for all projects). -
Select triggers:
- Push events
- Comments
- Issues events
- Merge request events
Prepare an .env
file
Create an .env
file with the following content:
# if using OpenAI
LLM_PROVIDER=openai
LLM_TIMEOUT=360000
OPENAI_API_KEYS=<openai-key>
OPENAI_BASE_URL=[<openai-base-url>]
OPENAI_ORG_ID=[<openai-org-id>]
OPENAI_PROJECT_ID=[<openai-project-id>]
# if using Azure OpenAI
LLM_PROVIDER=azure-openai
LLM_TIMEOUT=360000
AZURE_OPENAI_ENDPOINT=<azure-openai-endpoint>
AZURE_OPENAI_API_KEY=<key>
## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments
AZURE_GPT4OMINI_DEPLOYMENT_NAME=<gpt-4o-mini-deployment-name>
AZURE_O1MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]
AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
## gpt-4o is optional
AZURE_GPT4O_DEPLOYMENT_NAME=<gpt-4o-deployment-name, modelVersion: 2024-08-06>
## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
# if using AWS Bedrock
AWS_ACCESS_KEY_ID=<aws-access-key>
AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
AWS_REGION=<aws-region>
# if using Anthropic
LLM_PROVIDER=anthropic
LLM_TIMEOUT=360000
ANTHROPIC_API_KEYS=<anthropic-key>
ANTHROPIC_BASE_URL=[<anthropic-base-url>]
TEMP_PATH=/cache
AST_GREP_RULES_PATH=/home/jailuser/ast-grep-rules
AST_GREP_ESSENTIALS=ast-grep-essentials
SELF_HOSTED=gitlab
GITLAB_BOT_TOKEN=<personal-access-token>
GITLAB_WEBHOOK_SECRET=<webhook-secret-key>
CODERABBIT_LICENSE_KEY=<license-key>
CODERABBIT_API_KEY=[<coderabbitai-api-key>]
ENABLE_LEARNINGS=[true]
ENABLE_METRICS=[true]
JIRA_HOST=[<jira-host-url>]
JIRA_PAT=[<jira-personal-access-token>]
LINEAR_PAT=[<linear-personal-access-token>]
- If you are using Azure OpenAI, verify that the model deployment names are in the .env file.
- Values marked with [] are not optional to provide.
- You can generate
CODERABBIT_API_KEY
from CodeRabbit UI -> Organizations Settings -> API Keys.
Pull the CodeRabbit Docker image
Authenticate and pull the Docker image using the provided credentials file:
cat coderabbit.json | docker login -u _json_key --password-stdin us-docker.pkg.dev
docker pull <docker-registry>/coderabbit-agent:latest
Verify the image is up
You can query /health
endpoint to verify that the coderabbit-agent service is up and running.
curl 127.0.0.1:8080/health
Host the image
You can host the image on a server, serverless function, or container environment and expose port 8080
. Run the Docker image with the equivalent command on your chosen platform, ensuring you replace the .env
file path with the path to your actual .env
file:
docker run --env-file .env --publish 127.0.0.1:8080:8080 <docker-registry>/coderabbit-agent:latest