developing-genkit-tooling — CLI для управления проектами Genkit

--- name: developing-genkit-tooling description: Best practices for authoring Genkit tooling, including CLI commands and MCP server tools. Covers naming conventions, architectural patterns, and consistency guidelines. --- # Developing Genkit Tooling ## Naming Conventions Consistency in naming helps users and agents navigate the tooling. ### CLI Commands Use **kebab-case** with colon separators for subcommands. - **Format**: `noun:verb` or `category:action` - **Examples**: `flow:run`, `eval:run`, `init` - **Arguments**: Use camelCase in code (`flowName`) but standard format in help text (`<flowName>`). ### MCP Tools Use **snake_case** for tool names to align with MCP standards. - **Format**: `verb_noun` - **Examples**: `list_flows`, `run_flow`, `list_genkit_docs`, `read_genkit_docs` ## CLI Command Architecture Commands are implemented in `cli/src/commands/` using `commander`. ### Runtime Interaction Most commands require interacting with the user's project runtime. Use the `runWithManager` utility to handle the lifecycle of the runtime process. ```typescript import { runWithManager } from '../utils/manager-utils'; // ... command definition ... .action(async (arg, options) => { await runWithManager(await findProjectRoot(), async (manager) => { // Interact with manager here const result = await manager.runAction({ key: arg }); }); }); ``` ### Output Formatting - **Logging**: Use `logger` from `@genkit-ai/tools-common/utils`. - **Machine Readable**: Provide options for JSON output or file writing when the command produces data. - **Streaming**: If the operation supports streaming (like `flow:run`), provide a `--stream` flag and pipe output to stdout. ## MCP Tool Architecture MCP tools in `cli/src/mcp/` follow two distinct patterns: **Static** and **Runtime**. ### Static Tools (e.g., Docs) These tools do not require a running Genkit project context. - **Registration**: `defineDocsTool(server: McpServer)` - **Dependencies**: Only the `server` instance. - **Use Case**: Documentation, usage guides, global configuration. ### Runtime Tools (e.g., Flows, Runtime Control) These tools interact with a specific Genkit project's runtime. - **Registration**: `defineRuntimeTools(server: McpServer, options: McpToolOptions)` - **Dependencies**: Requires `options` containing `manager` (process manager) and `projectRoot`. - **Schema**: MUST use `getCommonSchema(options.explicitProjectRoot, ...)` to ensure the tool can accept a `projectRoot` argument when required (e.g., in multi-project environments). ```typescript // Runtime tool definition pattern server.registerTool( 'my_runtime_tool', { inputSchema: getCommonSchema(options.explicitProjectRoot, { myArg: z.string(), }), }, async (opts) => { // Resolve project root before action const rootOrError = resolveProjectRoot( options.explicitProjectRoot, opts, options.projectRoot ); if (typeof rootOrError !== 'string') return rootOrError; // access manager via options.manager } ); ``` ### Error Handling MCP tools should generally catch errors and return them as content blocks with `isError: true` rather than throwing exceptions, which ensures the client receives a structured error response. ```typescript try { // operation } catch (err) { const message = err instanceof Error ? err.message : String(err); return { isError: true, content: [{ type: 'text', text: `Error: ${message}` }], }; } ```