Anthropic Model Connector
Configure the Anthropic Model Connector to run Harness Worker Agents on Claude models through direct Anthropic or AWS Bedrock endpoints.
The Anthropic Model Connector defines Claude as the LLM provider and default model for your Worker Agents. It supports both direct Anthropic endpoints and AWS Bedrock endpoints.
What you will learn in this topic
By the end of this topic, you will be able to:
Before you begin
Before you configure the Anthropic Model Connector, ensure you have the following:
Harness AI enabled: Harness AI must be active for your account. Go to Overview for more information on activating Harness AI.
Model provider access: API key from Anthropic or AWS Bedrock access with appropriate IAM permissions for Claude models.
Connector permissions: Permission to create and manage connectors in your Harness project. Go to RBAC in Harness for more information on permissions.
Supported models
The Anthropic Model Connector supports the following Claude models. Select the model that best fits your Worker Agent use case based on complexity, speed, and cost requirements.
Claude Opus 4.8
Latest and most capable model for complex reasoning
Claude Opus 4.7
High-capability model for complex reasoning
Claude Opus 4.6
High-capability model for complex reasoning
Claude Sonnet 4.6
Fast, high-capability model for most tasks
Claude Sonnet 4.5
Previous-generation fast model
Claude Haiku 4.5
Lightweight, low-latency model for simple tasks
Connector configuration
Configure the connector with your authentication method, region, and default model selection.
When you create the connector, set the Authentication Type (Personal Token for direct Anthropic, or Amazon Bedrock API Key), the Region, and the default Model Name.

Anthropic Connector setup with authentication type selection and model configuration
Runtime model override
Override the connector default model on individual Worker Agents to use different Claude models for specific tasks.
Each Worker Agent uses the default model configured on the connector unless you set the optional Model Name field on the agent. For Anthropic connectors, the Model Name field also accepts an AWS Bedrock inference profile ARN, for example arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/a1b2c3d4e5f6.
Next steps
Worker Agents: Create and configure agents that use this connector.
OpenAI Model Connector: Configure OpenAI as your model provider.
Last updated
Was this helpful?