@tank/opencode-config-mastery

Configure a local LLM provider in OpenCode by defining the provider and model specifications within the `opencode.json` schema. This enables direct integration of local models like Ollama for AI code generation.

The best way to set up an MCP server in OpenCode is by configuring the connection details in your `opencode.json` file. This process supports both local and remote server integrations, including advanced authentication methods like OAuth.

You create custom commands for code generation in OpenCode by modifying the `opencode.json` configuration. This allows you to define specific instructions and parameters that streamline your development workflow.

Yes, you can manage security and permissions settings within the OpenCode configuration. The `opencode.json` schema provides options to define access controls and security best practices for your AI development environment.

Context budget optimization in OpenCode ensures your AI models operate efficiently within token limits. Proper configuration helps resolve common issues by managing the context window size and preventing unexpected performance degradation.