models
Configure and manage AI models for task generation and research in the Task Master server. Set primary, research, or fallback models, list available options, and customize model providers for project needs.
Instructions
Get information about available AI models or set model configurations. Run without arguments to get the current model configuration and API key status for the selected model providers.
Input Schema
Name | Required | Description | Default |
---|---|---|---|
azure | No | Indicates the set model ID is a custom Azure OpenAI model. | |
bedrock | No | Indicates the set model ID is a custom AWS Bedrock model. | |
listAvailableModels | No | List all available models not currently in use. Input/output costs values are in dollars (3 is $3.00). | |
ollama | No | Indicates the set model ID is a custom Ollama model. | |
openrouter | No | Indicates the set model ID is a custom OpenRouter model. | |
projectRoot | Yes | The directory of the project. Must be an absolute path. | |
setFallback | No | Set the model to use if the primary fails. Model provider API key is required in the MCP config ENV. | |
setMain | No | Set the primary model for task generation/updates. Model provider API key is required in the MCP config ENV. | |
setResearch | No | Set the model for research-backed operations. Model provider API key is required in the MCP config ENV. | |
vertex | No | Indicates the set model ID is a custom Google Vertex AI model. |