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This repository was archived by the owner on Aug 16, 2025. It is now read-only.

Commitbec4ede

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self-hosted: support o1 model (#203)
1 parent4f3783c commitbec4ede

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4 files changed

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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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##Createa Azure DevOps User
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##Createan 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).
@@ -61,14 +61,10 @@ 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/bitbucket.md‎

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---
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title:Use Self-Hosted CodeRabbit WithBitbucket 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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##Preparean`.env` file
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##Preparea`.env` file
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Createan`.env` file with the following content:
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Createa`.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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@@ -42,9 +42,9 @@ Consult official CodeRabbitAI documentation for a detailed [guide](https://docs.
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- Issues events
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- Merge request events
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##Preparean`.env` file
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##Preparea`.env` file
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Createan`.env` file with the following content:
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Createa`.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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