CodeRabbit & Bitbucket Datacenter

# 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 deploy text-embedding-3-large, gpt-4.1-mini, o4-mini, o3, gpt-4.1 (optionally).
AZURE_TEXT_EMBEDDING_3_LARGE_DEPLOYMENT_NAME=<text-embedding-3-large-deployment-name>
AZURE_GPT41MINI_DEPLOYMENT_NAME=<gpt-4.1-mini-deployment-name>
AZURE_O4MINI_DEPLOYMENT_NAME=<o4-mini-deployment-name>
AZURE_O3_DEPLOYMENT_NAME=<o3-deployment-name>
AZURE_GPT41_DEPLOYMENT_NAME=[<gpt-4.1-deployment-name>]
# optionally, deploy gpt-4o-mini instead of gpt-4.1-mini
AZURE_GPT4OMINI_DEPLOYMENT_NAME=[<gpt-4o-mini-deployment-name>]
# optionally, deploy o3-mini instead of o4-mini
AZURE_O3MINI_DEPLOYMENT_NAME=[<o3-mini-deployment-name>]
# optionally, deploy o1 instead of o3
AZURE_O1_DEPLOYMENT_NAME=[<o1-deployment-name>]

# OAuth2 Configuration (optional)
# This will use client_credentials flow to get an access token,
# and use it to make requests to the LLM provider.
# Here is more information on this flow: https://learn.microsoft.com/en-us/entra/identity-platform/v2-oauth2-client-creds-grant-flow#first-case-access-token-request-with-a-shared-secret
# It is expected that the response from the OAuth2 server will be in the format
# {
#   "access_token": "<access-token>",
#   "token_type": "Bearer",
#   "expires_in": 3599,
# }
OAUTH2_ENDPOINT=[<endpoint>]
OAUTH2_CLIENT_ID=[<client-id>]
OAUTH2_CLIENT_SECRET=[<client-secret>]
OAUTH2_SCOPE=[<oauth2-scope>]

HTTP_PROXY=[<http-proxy-url>]
HTTPS_PROXY=[<https-proxy-url>]
NO_PROXY=[<no-proxy-url>]

# if using AWS Bedrock
# it is required to have access to claude-3-haiku, claude-3-5-haiku, claude-sonnet-4, claude-opus-4.
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>
# optionally, use cross-region inference to access models in other regions
# if this is set to `true`, CodeRabbit will access models from `us`, `eu`, or `ap` regions based on the AWS_REGION value.
AWS_USE_CROSS_REGION_INFERENCE=[<true>]

# 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_METRICS=[true]


# CodeRabbit - KNOWLEDGE BASE
#
# Requisite: To enable CodeRabbit's knowledge base, you need to provide an object store URI.
OBJECT_STORE_URI=[<object-store-uri>] # All major object stores are supported e.g., s3://bucket/path/to/database, gs://bucket/path/to/database, etc.

ENABLE_KNOWLEDGE_BASE=[true] # Global feature flag to enable/disable all knowledge base features.

ENABLE_PRS_INDEX=[true] # Feature flag to enable/disable PRs indexing.
ENABLE_ISSUES_INDEX=[true] # Feature flag to enable/disable Issues indexing.
ENABLE_LEARNING_INDEX=[true] # Feature flag to enable/disable Learning indexing.
ENABLE_CODE_GUIDELINES_INDEX=[true] # Feature flag to enable/disable Code Guidelines indexing.
ENABLE_CODE_INDEX=[true] # Feature flag to enable/disable Code indexing.

JIRA_HOST=[<jira-host-url>]
JIRA_PAT=[<jira-personal-access-token>]

LINEAR_PAT=[<linear-personal-access-token>]

ENABLE_WEB_SEARCH=[true]
PERPLEXITY_API_KEY=[<perplexity-api-key>]

YAML_CONFIG=[<escaped-yaml-config>]