Local Api
Local Api refers to running Claude Code—Anthropic’s AI-assisted code generation and execution tool—on your own machine using Ollama, an open-source platform for running large language models locally. This approach shifts computational load from cloud-based services to personal or organizational infrastructure, reducing dependency on external API calls and their associated costs and latency concerns.
How It Works
Ollama enables users to download and run LLMs on local hardware without requiring cloud connectivity for inference. By containerizing model execution, it abstracts away much of the complexity involved in managing dependencies and configurations. When integrated with Claude Code, this setup allows developers to write, generate, and execute code with AI assistance entirely within their own environment.
Key Considerations
Running models locally requires sufficient hardware resources—primarily GPU memory and processing power—to handle the computational demands of inference. Performance will typically be lower than cloud-based alternatives, though this trade-off provides increased privacy, eliminates ongoing API costs, and enables offline operation. Organizations may choose this approach to maintain control over sensitive code or reduce reliance on external services.