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Configuration Path: Self-HostedThis section covers provider configuration for self-hosted deployments. For web-based configuration through app.cline.bot, see SaaS Provider Configuration.
Configure which AI providers your team can use and manage provider credentials centrally. Cline supports major AI providers with enterprise-grade authentication options.

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Supported Providers

AWS Bedrock

Amazon’s managed service for Claude and other foundation models

Google Vertex AI

Google Cloud’s AI platform with Gemini and PaLM models

LiteLLM

Universal proxy for accessing 100+ AI models through a unified API

Custom Providers

OpenAI-compatible APIs and self-hosted models

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What is Provider Configuration?

Provider configuration in Cline allows administrators to:
  1. Manage Credentials Centrally: Store API keys and authentication details in one place
  2. Control Model Access: Specify which models teams can use
  3. Enforce Provider Usage: Direct all team members to approved providers

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How It Works

Provider settings are configured through your remote configuration JSON file: 
{
  "providerSettings": {
    "provider": "bedrock",
    "bedrockRegion": "us-east-1",
    "bedrockServiceRole": "arn:aws:iam::..."
  }
}
When configured, these settings:
  • Apply to all team members automatically
  • Override individual user settings
  • Ensure consistent provider usage across the team

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Configuration Options

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Provider Selection

Choose from supported providers:
  • bedrock: Use AWS Bedrock
  • vertex: Use Google Vertex AI
  • openai: Use OpenAI API
  • azure: Use Azure OpenAI
  • litellm: Use a LiteLLM proxy

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Authentication

Each provider supports different authentication methods: AWS Bedrock:
  • IAM roles with cross-account access
  • Access keys (not recommended for production)
Google Vertex AI:
  • Service account JSON keys
  • Workload Identity (for GKE deployments)
OpenAI/Azure:
  • API keys
LiteLLM:
  • Endpoint URL + API key

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Example Configurations

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AWS Bedrock with IAM Role

{
  "providerSettings": {
    "provider": "bedrock",
    "bedrockRegion": "us-east-1",
    "bedrockServiceRole": "arn:aws:iam::123456789012:role/ClineBedrockRole"
  }
}

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Google Vertex AI

{
  "providerSettings": {
    "provider": "vertex",
    "vertexProject": "my-project-id",
    "vertexRegion": "us-central1"
  }
}

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LiteLLM Proxy

{
  "providerSettings": {
    "provider": "litellm",
    "litellmBaseUrl": "https://litellm.company.com",
    "litellmApiKey": "sk-..."
  }
}

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Next Steps

Configure AWS Bedrock

Set up AWS Bedrock integration

Configure Google Vertex

Set up Google Vertex AI integration

Configure LiteLLM

Set up LiteLLM proxy integration

Configure Custom Provider

Set up custom OpenAI-compatible provider