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docs: add codebase understanding guide
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# Codebase understanding
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This document provides a detailed overview of the Gemini CLI architecture, its
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core components, and how they interact to provide an agentic terminal
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experience.
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## Repository overview
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Gemini CLI is structured as a monorepo using npm workspaces. The codebase is
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divided into several specialized packages that separate the user interface from
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the agentic orchestration logic.
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### Core packages
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- **`packages/cli`**: Contains the terminal user interface (TUI) implemented
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with React and Ink. It handles terminal-specific logic like keybindings,
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mouse events, and layout rendering.
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- **`packages/core`**: The central engine of the application. It is UI-agnostic
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and manages the Gemini API communication, tool orchestration, conversation
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history, and policy enforcement.
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- **`packages/devtools`**: Provides a developer-focused inspector (similar to
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Chrome DevTools) for monitoring network traffic and console logs in real-time.
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- **`packages/sdk`**: A library for building extensions and custom tools that
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integrate with Gemini CLI.
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- **`packages/vscode-ide-companion`**: A VS Code extension that connects the
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editor state to the CLI, enabling the agent to read open files and cursor
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positions.
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## Application lifecycle
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The application follows a structured startup and execution flow to ensure
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security and environment consistency.
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### Startup and sandboxing
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When you launch Gemini CLI, the entry point in `packages/cli/src/gemini.tsx`
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manages several initialization steps:
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1. **Configuration loading**: Loads user and workspace settings, parsing
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command-line arguments.
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2. **Authentication**: Validates credentials and refreshes OAuth tokens.
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3. **Sandboxing**: If configured, the application relaunches itself in a
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restricted child process using a "sandbox" environment to isolate tool
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execution.
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4. **Mode selection**: Determines whether to start the interactive TUI or run
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in non-interactive mode based on input and terminal state.
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### Interactive vs. non-interactive modes
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- **Interactive mode**: Renders the TUI using Ink. The state is managed via
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React contexts (Settings, Mouse, Keypress, Terminal) and a central
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`AppContainer`.
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- **Non-interactive mode**: Executes a single prompt or command. It uses a
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focused loop in `packages/cli/src/nonInteractiveCli.ts` that continues until
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the agent completes its task or requires user intervention that cannot be
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provided.
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## Agent orchestration
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The orchestration of the agent's behavior happens primarily within
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`packages/core/src/core`.
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### GeminiClient
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The `GeminiClient` is the primary interface for the rest of the application. It
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coordinates:
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- **Session management**: Initializing, resuming, and persisting chat sessions.
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- **Model routing**: Deciding which Gemini model to use based on the task and
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configuration.
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- **Context compression**: Summarizing long histories using the
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`ChatCompressionService` to stay within context window limits.
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- **IDE integration**: Injecting editor context (open files, selections) into
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the prompt.
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### GeminiChat and Turn
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- **`GeminiChat`**: Manages the low-level API communication. It handles
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streaming responses, retries for transient network errors, and records the
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conversation history.
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- **`Turn`**: Represents a single agentic exchange. A turn may involve multiple
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API calls if the model decides to use tools. It yields events for content,
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thoughts, and tool requests.
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## Tool system and scheduler
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The tool system allows the agent to interact with the external world. It is
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built on a secure, policy-driven framework.
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### Tool registry
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The `ToolRegistry` in `packages/core/src/tools` maintains a list of all
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available tools. It supports several types:
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- **Built-in tools**: Native TypeScript implementations for file system
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operations, shell commands, and web fetching.
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- **Discovered tools**: Local scripts or commands identified in the project
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root.
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- **MCP tools**: Tools provided by external servers via the Model Context
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Protocol.
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### Scheduler
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The `Scheduler` in `packages/core/src/scheduler` manages the lifecycle of a
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tool call:
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1. **Validation**: Ensures the tool exists and the arguments match the schema.
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2. **Policy check**: Consults the Policy Engine to determine if the tool is
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allowed to run automatically, requires user confirmation, or is denied.
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3. **Confirmation**: If required, it pauses execution and uses the
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`MessageBus` to request user approval through the UI.
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4. **Execution**: Runs the tool and captures the output, including live
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updates for long-running processes.
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5. **Feedback**: Sends the tool result back to the model to continue the
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agentic loop.
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## UI architecture
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The UI is built with React components rendered to the terminal via Ink. Key
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design patterns include:
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- **Providers**: Global state like settings, theme, and terminal size is
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provided through React Contexts to avoid prop drilling.
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- **Console patching**: Standard `console.log` calls are intercepted and
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redirected to the TUI's debug console or the `devtools` server.
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- **Event-driven updates**: The UI listens to `coreEvents` from the orchestrator
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to update its state (e.g., streaming text, tool progress, or errors).
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## Testing and quality
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The project maintains high standards through several testing tiers:
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- **Unit tests**: Located alongside the source code (e.g., `*.test.ts`), using
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Vitest.
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- **Integration tests**: E2E tests in the `integration-tests/` directory that
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run the compiled CLI against mocked and real API endpoints.
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- **Evals**: Specialized evaluation scripts in `evals/` that measure the
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agent's performance on specific tasks like tool use and codebase navigation.
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