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The LLM plugin allows you to configure which Large Language Model (LLM) Unpage uses for its Agents and other AI-powered features. Unpage uses LiteLLM as its LLM provider interface, which supports multiple model providers including OpenAI, Anthropic, and Amazon Bedrock.
No MCP tools are currently available for this plugin.

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Configuration

You can configure the LLM plugin using the unpage configure command, which will guide you through selecting a provider and model. 
$ uv run unpage configure
Alternatively, you can manually edit your Unpage config file at ~/.unpage/profiles/<profile_name>/config.yaml: 
plugins:
  # ...
  llm:
    enabled: true
    settings:
      model: "openai/gpt-4o"  # Provider/model format
      api_key: "your-api-key"
      temperature: 0          # 0-1, lower is more deterministic
      max_tokens: 8192        # Maximum output tokens
      cache: true             # Enable response caching

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Model Selection

The LLM plugin supports the following model providers and recommended models:

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OpenAI

model: "openai/gpt-4o"           # Fast, intelligent, flexible GPT model (recommended)
model: "openai/gpt-4o-mini"      # Fast, affordable small model for focused tasks
You’ll need an OpenAI API key to use these models.

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Anthropic

model: "anthropic/claude-4-sonnet-20250514"  # High intelligence and balanced performance (recommended)
model: "anthropic/claude-4-opus-20250514"    # Highest level of intelligence and capability
You’ll need an Anthropic API key to use these models.

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Amazon Bedrock

model: "bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0"  # US region, Claude 4 Sonnet (recommended)
model: "bedrock/us.anthropic.claude-opus-4-20250514-v1:0"    # US region, Claude 4 Opus
model: "bedrock/eu.anthropic.claude-sonnet-4-20250514-v1:0"  # EU region, Claude 4 Sonnet
model: "bedrock/eu.anthropic.claude-opus-4-20250514-v1:0"    # EU region, Claude 4 Opus
For Amazon Bedrock models, you’ll need Amazon Bedrock API key. If not set, the plugin will default to the AWS credentials in your environment using the AWS SDK credential provider discovery. We default to us-east-1 region if no region is set in the environment.

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Advanced Configuration

The LLM plugin uses sensible defaults for most settings:
  • temperature: 0 (most deterministic responses)
  • max_tokens: Set to the model’s maximum context length
  • cache: true (enables response caching for efficiency)
You can adjust these settings in your config file based on your specific requirements.

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Supported Models

In addition to the recommended models listed above, the LLM plugin supports all models supported by LiteLLM. You can view the full list of supported models in the LiteLLM documentation. To use a model not included in the interactive configuration, directly edit your config.yaml file with the appropriate provider/model string format.

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Environment Variables

You can also configure the LLM plugin using environment variables:
  • OPENAI_API_KEY: For OpenAI models
  • ANTHROPIC_API_KEY: For Anthropic models
  • AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY: For Amazon Bedrock models
  • AWS_REGION or AWS_DEFAULT_REGION: Region for Amazon Bedrock (defaults to us-east-1)
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