---
title: Use Self-Hosted CodeRabbit With Bitbucket Datacenter
sidebar_label: Bitbucket Datacenter
description: Instructions to self-host CodeRabbit and integrate it with  Bitbucket Datacenter.
sidebar_position: 4
---

:::note

The self-hosted option is only available for CodeRabbit Enterprise customers with 500 user seats or more. Please contact [CodeRabbit Sales](mailto:sales@coderabbit.ai) to learn more about the CodeRabbit Enterprise plan.

:::

## Create a Bitbucket 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 permissions to:

- Post reviews
- Open pull requests

## 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 `BITBUCKET_SERVER_BOT_TOKEN`.

## Add a webhook to each project

1. **Navigate to Webhook Settings**: Go to the repository settings and locate the webhooks configuration page.
2. **Configure Events**: Enable the following Pull Request events:
   - "Opened"
   - "Modified"
   - "Comment Added"
3. **Add Webhook URL**: Enter the URL pointing to the CodeRabbit service, followed by `/bitbucket_server_webhooks` (e.g., `http://127.0.0.1:8080/bitbucket_server_webhooks`).

## Prepare a `.env` file

Create a `.env` file with the following content:

```bash
# 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, o3-mini, and o1 deployments.
AZURE_GPT4OMINI_DEPLOYMENT_NAME=<gpt-4o-mini-deployment-name>
AZURE_O3MINI_DEPLOYMENT_NAME=<o3-mini-deployment-name>
AZURE_O1_DEPLOYMENT_NAME=<o1-deployment-name>
# optionally, you can swap o3-mini with o1-mini
AZURE_O1MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]

# OAuth2 Configuration (optional)
# This will use client credentials grant flow to get an access token, and use that token in headers while making requests to AZURE_OPENAI_ENDPOINT.
OAUTH2_ENDPOINT=[<endpoint>]
OAUTH2_CLIENT_ID=[<client-id>]
OAUTH2_CLIENT_SECRET=[<client-secret>]

# if using AWS Bedrock
LLM_PROVIDER=bedrock-anthropic
LLM_TIMEOUT=360000
AWS_ACCESS_KEY_ID=<aws-access-key>
AWS_SECRET_ACCESS_KEY=<aws-secret-access-key>
AWS_REGION=<aws-region>

# System Configuration
TEMP_PATH=/cache

SELF_HOSTED=bitbucket-server

BITBUCKET_SERVER_URL=<bitbucket-server-url>/rest
BITBUCKET_SERVER_WEBHOOK_SECRET=<webhook-secret>
BITBUCKET_SERVER_BOT_TOKEN=<personal-access-token>
BITBUCKET_SERVER_BOT_USERNAME=<bot-user-username>

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>]
```

:::note

- If you are using Azure OpenAI, verify that the model deployment names are in the .env file.
  Values marked with [] are optional and can be omitted if the feature is not needed.
- 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:

```bash
cat coderabbit.json | docker login -u _json_key --password-stdin us-docker.pkg.dev
docker pull us-docker.pkg.dev/coderabbitprod/self-hosted/coderabbit-agent:latest
```

### Verify the image is up

You can query `/health` endpoint to verify that the `coderabbit-agent` service is up and running.

```bash
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:

```bash
docker run --env-file .env --publish 127.0.0.1:8080:8080 us-docker.pkg.dev/coderabbitprod/self-hosted/coderabbit-agent:latest
```