Connect an AI model for your Python projects

Pastekind connects to a cloud API, a local PC model, or its built-in model. You pick the endpoint, test the response time, and review every diff before accepting changes to your code.

Choose your model source

Cloud AI provider

Send your prompts to a standard API endpoint hosted by a cloud provider. The prompt text, including file text the agent reads, goes to the provider you choose. Secrets in tool output are redacted before they leave your machine. The provider may charge separately.

Local PC model

Run a model directly on your Windows machine using your own hardware. Nothing leaves your computer when you use this mode. Your prompts and file contents stay entirely on your PC.

Built-in model

The built-in model is ready to use without your own endpoint.

Test your connection

Click the Test button to check your endpoint. The app shows the response time and the context window size. This helps you verify that your model is reachable and ready to process your Python beginner projects. Use this step before you start editing files or running shell commands.

Pick the right model for the task

Send a hard step to a bigger model using run_on_model. Use a smaller model for small edits. The agent suggests the right tool for the job. You can switch models between steps. This flexibility helps you manage costs and speed. You stay in control of the complexity.

Quality varies between models. Always review the diff before accepting. Use Ask first to pause before actions that change something. This ensures you understand every line. You can edit the code yourself. This habit builds your Python skills effectively.