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self-hosted: support o1 model
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‎docs/self-hosted/azure-devops.md

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@@ -11,7 +11,7 @@ The self-hosted option is only available for CodeRabbit Enterprise customers wit
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:::
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## Create a Azure DevOps User
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## Create an Azure DevOps User
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- **Username**: Set the username to "CodeRabbit" for easier identification (optional).
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- **Profile Image**: Use the CodeRabbitAI logo for the user image (optional).
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LLM_TIMEOUT=360000
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AZURE_OPENAI_ENDPOINT=<azure-openai-endpoint>
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AZURE_OPENAI_API_KEY=<key>
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments. The production release of o1 model is inferior to the preview release as of now. Also, please make sure that the deployment name of o1-preview mentions "o1-preview" in it.
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AZURE_GPT4OMINI_DEPLOYMENT_NAME=<gpt-4o-mini-deployment-name>
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AZURE_O1MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
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## gpt-4o is optional
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AZURE_GPT4O_DEPLOYMENT_NAME=<gpt-4o-deployment-name, modelVersion: 2024-08-06>
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## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
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AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-deployment-name>]
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# if using AWS Bedrock
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AWS_ACCESS_KEY_ID=<aws-access-key>
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### Verify the image is up
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You can query `/health` endpoint to verify that the coderabbit-agent service is up and running.
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You can query `/health` endpoint to verify that the `coderabbit-agent` service is up and running.
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```bash
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curl 127.0.0.1:8080/health

‎docs/self-hosted/bitbucket.md

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---
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title: Use Self-Hosted CodeRabbit With Bitbucket Datacenter
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title: Use Self-Hosted CodeRabbit With Bitbucket Datacenter
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sidebar_label: Bitbucket Datacenter
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description: Instructions to self-host CodeRabbit and integrate it with Bitbucket Datacenter.
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sidebar_position: 4
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- "Comment Added"
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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`).
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## Prepare an `.env` file
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## Prepare a `.env` file
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Create an `.env` file with the following content:
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Create a `.env` file with the following content:
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```bash
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# if using OpenAI
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LLM_TIMEOUT=360000
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AZURE_OPENAI_ENDPOINT=<azure-openai-endpoint>
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AZURE_OPENAI_API_KEY=<key>
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments. The production release of o1 model is inferior to the preview release as of now. Also, please make sure that the deployment name of o1-preview mentions "o1-preview" in it.
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AZURE_GPT4OMINI_DEPLOYMENT_NAME=<gpt-4o-mini-deployment-name>
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AZURE_O1MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
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## gpt-4o is optional
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AZURE_GPT4O_DEPLOYMENT_NAME=<gpt-4o-deployment-name, modelVersion: 2024-08-06>
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## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
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AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-deployment-name>]
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# if using AWS Bedrock
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AWS_ACCESS_KEY_ID=<aws-access-key>
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### Verify the image is up
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You can query `/health` endpoint to verify that the coderabbit-agent service is up and running.
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You can query `/health` endpoint to verify that the `coderabbit-agent` service is up and running.
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```bash
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curl 127.0.0.1:8080/health

‎docs/self-hosted/github.md

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@@ -65,14 +65,10 @@ LLM_PROVIDER=azure-openai
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LLM_TIMEOUT=360000
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AZURE_OPENAI_ENDPOINT=<azure-openai-endpoint>
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AZURE_OPENAI_API_KEY=<key>
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments. The production release of o1 model is inferior to the preview release as of now. Also, please make sure that the deployment name of o1-preview mentions "o1-preview" in it.
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AZURE_GPT4OMINI_DEPLOYMENT_NAME=<gpt-4o-mini-deployment-name>
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AZURE_O1MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
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## gpt-4o is optional
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AZURE_GPT4O_DEPLOYMENT_NAME=<gpt-4o-deployment-name, modelVersion: 2024-08-06>
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## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
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AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-deployment-name>]
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# if using AWS Bedrock
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AWS_ACCESS_KEY_ID=<aws-access-key>
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### Verify the image is up
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You can query `/health` endpoint to verify that the coderabbit-agent service is up and running.
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You can query `/health` endpoint to verify that the `coderabbit-agent` service is up and running.
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```bash
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curl 127.0.0.1:8080/health

‎docs/self-hosted/gitlab.md

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- Issues events
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- Merge request events
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## Prepare an `.env` file
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## Prepare a `.env` file
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Create an `.env` file with the following content:
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Create a `.env` file with the following content:
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```bash
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# if using OpenAI
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LLM_TIMEOUT=360000
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AZURE_OPENAI_ENDPOINT=<azure-openai-endpoint>
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AZURE_OPENAI_API_KEY=<key>
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments
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## it is recommended to use gpt-4o-mini, o1-mini, and o1-preview deployments. The production release of o1 model is inferior to the preview release as of now. Also, please make sure that the deployment name of o1-preview mentions "o1-preview" in it.
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AZURE_GPT4OMINI_DEPLOYMENT_NAME=<gpt-4o-mini-deployment-name>
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AZURE_O1MINI_DEPLOYMENT_NAME=[<o1-mini-deployment-name>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-preview-deployment-name>]
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## gpt-4o is optional
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AZURE_GPT4O_DEPLOYMENT_NAME=<gpt-4o-deployment-name, modelVersion: 2024-08-06>
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## gpt-4-turbo is optional: it’s expensive but provides better reviews than gpt-4o
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AZURE_GPT4TURBO_DEPLOYMENT_NAME=[<gpt-4-turbo-deployment-name, modelVersion: turbo-2024-04-09>]
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AZURE_O1_DEPLOYMENT_NAME=[<o1-deployment-name>]
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# if using AWS Bedrock
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AWS_ACCESS_KEY_ID=<aws-access-key>

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