diff --git a/vscode/vscode-tome-builder/.gitignore b/vscode/vscode-tome-builder/.gitignore index cdbbc3d1e..4e1c2177a 100644 --- a/vscode/vscode-tome-builder/.gitignore +++ b/vscode/vscode-tome-builder/.gitignore @@ -4,3 +4,7 @@ node_modules/ .vscode-test/ *.vsix mcp-server/src/assets.ts + +# Ignore auto-generated MCP configurations +.vscode/cline_mcp_settings.json +.vscode/mcp.json diff --git a/vscode/vscode-tome-builder/.vscode/launch.json b/vscode/vscode-tome-builder/.vscode/launch.json deleted file mode 100644 index 6b7fcd2e1..000000000 --- a/vscode/vscode-tome-builder/.vscode/launch.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "version": "0.2.0", - "configurations": [ - { - "name": "Run Extension", - "type": "extensionHost", - "request": "launch", - "args": [ - "--extensionDevelopmentPath=${workspaceFolder}" - ] - } - ] -} \ No newline at end of file diff --git a/vscode/vscode-tome-builder/LICENSE b/vscode/vscode-tome-builder/LICENSE new file mode 100644 index 000000000..f288702d2 --- /dev/null +++ b/vscode/vscode-tome-builder/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If the program does terminal interaction, make it output a short +notice like this when it starts in an interactive mode: + + Copyright (C) + This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/vscode/vscode-tome-builder/README.md b/vscode/vscode-tome-builder/README.md index d558f3025..81ec45419 100644 --- a/vscode/vscode-tome-builder/README.md +++ b/vscode/vscode-tome-builder/README.md @@ -1,25 +1,14 @@ # Realm Tome Builder VS Code Extension -**Tome Builder** is an AI-powered VS Code extension designed to assist operators and developers in creating **Realm Tomes**. It leverages the **Gemini API** and a local **Model Context Protocol (MCP)** server to provide expert guidance, documentation, and syntax validation for the **Eldritch DSL**. +**Tome Builder** is a VS Code extension designed to seamlessly integrate the **Realm Tome Model Context Protocol (MCP) Server** with your preferred AI Chat Assistants (like Cline, Continue, and Copilot). -## Features - -* **AI Chat Assistant**: Interact with an "Expert Tome Developer" persona to generate Tome logic and configuration. -* **Context-Aware**: The AI has access to up-to-date Eldritch documentation and real-world Tome examples via the embedded MCP server. -* **One-Click Save**: Easily save generated `metadata.yml` and `main.eldritch` code blocks directly to your workspace. -* **Model Selection**: Dynamically list and select available Gemini models (e.g., `gemini-2.0-flash-exp`) compatible with your API key. -* **Syntax Validation**: The AI validates generated code structure before presenting it to you. - -## Architecture +By installing this extension, you enable your AI tools to understand the **Eldritch DSL** and access real-world **Tome** examples, allowing the AI to generate accurate, syntactically correct Tomes for your offensive security workflows. -This extension utilizes a **Model Context Protocol (MCP)** architecture: +## Features -1. **VS Code Extension**: Provides the Chat UI and manages the lifecycle of the MCP server. -2. **MCP Server** (Local): A Node.js server running locally that exposes: - * `get_documentation`: Eldritch and Tome reference materials. - * `get_tome_examples`: Best-practice examples (e.g., file writing, service persistence). - * `validate_tome_structure`: Basic structural validation for Tomes. -3. **LLM (Gemini)**: The extension connects to Google's Gemini API, using the MCP client to call tools on the local server. +* **Zero-Config Integration**: Automatically registers the bundled Tome MCP Server with popular AI extensions like Cline. +* **Context-Aware AI**: Provides your AI assistants with up-to-date Eldritch documentation and reference materials. +* **Copilot Ready**: Exposes the standard VS Code `mcpServers` contribution point for native GitHub Copilot Chat integration (once native MCP support is fully released). ## Installation & Setup @@ -27,50 +16,66 @@ This extension utilizes a **Model Context Protocol (MCP)** architecture: * Node.js (v18+) * npm +* VSCE (Visual Studio Code Extension Manager) - `npm install -g @vscode/vsce` + +### Installation via VSIX (Recommended) -### Building from Source +To install the extension directly into VS Code, you can package it into a `.vsix` file: 1. **Clone the repository** and navigate to the extension folder: ```bash cd vscode-tome-builder ``` -2. **Install Dependencies**: - You need to install dependencies for both the extension and the internal MCP server. +2. **Install Dependencies & Build the MCP Server**: ```bash - # Install extension dependencies npm install - - # Install MCP server dependencies and build it - cd mcp-server - npm install - npm run build - cd .. + npm run build-mcp ``` -3. **Compile the Extension**: +3. **Package the Extension**: ```bash - npm run compile + vsce package ``` + *This will generate a `tome-builder-0.1.0.vsix` file in the directory.* + +4. **Install the Extension**: + * Open VS Code. + * Go to the Extensions view (`Ctrl+Shift+X` or `Cmd+Shift+X`). + * Click the **...** (Views and More Actions) menu in the top right of the Extensions view. + * Select **Install from VSIX...** + * Locate and select the `tome-builder-0.1.0.vsix` file you just generated. -### Configuration +### Building from Source (Development) -Before using the extension, you must provide your Google Gemini API Key. +1. **Clone the repository** and navigate to the extension folder: + ```bash + cd vscode-tome-builder + ``` + +2. **Install Dependencies & Build**: + ```bash + npm install + npm run build-mcp + npm run compile + ``` -1. Open VS Code Settings (`Ctrl+,` or `Cmd+,`). -2. Search for **Tome Builder**. -3. Enter your key in **Tome Builder > Llm: Api Key**. -4. (Optional) You can select a default model in **Tome Builder > Llm: Model**, or use the dropdown in the chat interface. +### Usage -## Usage +Once the extension is installed and activated, it will automatically attempt to configure the workspace for supported AI tools. -1. Open the **Tome Builder** view from the Activity Bar (beaker icon). -2. Type a request in the chat, for example: - > "Create a tome that installs a systemd service to run /usr/bin/myimplant." -3. The AI will analyze your request, consult documentation/examples if needed, and generate the required files. -4. Click the **Save** button above the code blocks to save `metadata.yml` and `main.eldritch` to your current workspace. +**For Cline:** +The extension will inject the `tome-builder` MCP server into your workspace's `.vscode/cline_mcp_settings.json`. You can then open Cline and ask it to "Create a Realm Tome to establish persistence". -## Troubleshooting +**For GitHub Copilot Chat (Requires VS Code Insiders):** +Native MCP support in GitHub Copilot is currently in preview and requires using the VS Code Insiders build. +1. Download and install [VS Code Insiders](https://code.visualstudio.com/insiders/). +2. Open your VS Code Settings (`Ctrl+,` or `Cmd+,`). +3. Search for `chat.experimental.mcp` and check the box to enable it. +4. Reload the window. +5. The extension contributes the `tome-builder` MCP server automatically. You can now tag Copilot in chat (or use inline chat) to ask about Eldritch and Tome creation, and it will route requests to the server. -* **"MCP Client not connected"**: Ensure you ran `npm run build` in the `mcp-server` directory. The extension relies on `mcp-server/dist/index.js` existing. -* **404 Model Not Found**: The configured model might not be available in your region or for your API key tier. Use the dropdown in the chat header to select a valid model. +### Manual Registration +If your AI assistant's settings were not updated automatically, you can manually trigger the registration: +1. Open the Command Palette (`Ctrl+Shift+P` / `Cmd+Shift+P`). +2. Run **Tome Builder: Register MCP Server for AI extensions**. diff --git a/vscode/vscode-tome-builder/mcp-server/package.json b/vscode/vscode-tome-builder/mcp-server/package.json index 7b4e92417..5f732cee3 100644 --- a/vscode/vscode-tome-builder/mcp-server/package.json +++ b/vscode/vscode-tome-builder/mcp-server/package.json @@ -15,4 +15,4 @@ "typescript": "^5.0.0", "@types/node": "^18.0.0" } -} +} \ No newline at end of file diff --git a/vscode/vscode-tome-builder/mcp-server/src/docs.ts b/vscode/vscode-tome-builder/mcp-server/src/docs.ts new file mode 100644 index 000000000..617eb8cef --- /dev/null +++ b/vscode/vscode-tome-builder/mcp-server/src/docs.ts @@ -0,0 +1,39 @@ +import * as fs from 'fs'; +import * as path from 'path'; + +function findRepoRoot(): string | null { + let currentDir = __dirname; + while (currentDir !== path.parse(currentDir).root) { + if (fs.existsSync(path.join(currentDir, 'go.mod'))) { + // Found the repo root (assuming go.mod exists in root, which it does in this repo) + return currentDir; + } + if (fs.existsSync(path.join(currentDir, '.git'))) { + return currentDir; + } + currentDir = path.dirname(currentDir); + } + return null; +} + +const REPO_ROOT = findRepoRoot(); + +function readDocFile(relativePath: string): string { + if (!REPO_ROOT) { + return "Error: Could not locate repository root. Ensure you are running this in the realm repository."; + } + const fullPath = path.join(REPO_ROOT, relativePath); + try { + return fs.readFileSync(fullPath, 'utf-8'); + } catch (e) { + return `Error reading file ${fullPath}: ${e}`; + } +} + +export function getTomesDoc(): string { + return readDocFile('docs/_docs/user-guide/tomes.md'); +} + +export function getEldritchDoc(): string { + return readDocFile('docs/_docs/user-guide/eldritch.md'); +} diff --git a/vscode/vscode-tome-builder/mcp-server/src/examples.ts b/vscode/vscode-tome-builder/mcp-server/src/examples.ts new file mode 100644 index 000000000..2d665f250 --- /dev/null +++ b/vscode/vscode-tome-builder/mcp-server/src/examples.ts @@ -0,0 +1,47 @@ +import * as fs from 'fs'; +import * as path from 'path'; + +function findRepoRoot(): string | null { + let currentDir = __dirname; + while (currentDir !== path.parse(currentDir).root) { + if (fs.existsSync(path.join(currentDir, 'go.mod'))) { + return currentDir; + } + if (fs.existsSync(path.join(currentDir, '.git'))) { + return currentDir; + } + currentDir = path.dirname(currentDir); + } + return null; +} + +const REPO_ROOT = findRepoRoot(); + +function readExample(tomeName: string): { metadata: string, script: string } { + if (!REPO_ROOT) { + return { + metadata: "Error: Could not locate repository root.", + script: "Error: Could not locate repository root." + }; + } + + const tomeDir = path.join(REPO_ROOT, `tavern/tomes/${tomeName}`); + try { + const metadata = fs.readFileSync(path.join(tomeDir, 'metadata.yml'), 'utf-8'); + const script = fs.readFileSync(path.join(tomeDir, 'main.eldritch'), 'utf-8'); + return { metadata, script }; + } catch (e) { + return { + metadata: `Error reading example ${tomeName}: ${e}`, + script: `Error reading example ${tomeName}: ${e}` + }; + } +} + +export function getFileWriteExample() { + return readExample('file_write'); +} + +export function getPersistServiceExample() { + return readExample('persist_service'); +} diff --git a/vscode/vscode-tome-builder/mcp-server/src/index.ts b/vscode/vscode-tome-builder/mcp-server/src/index.ts index 78f9ae61c..07d24796f 100644 --- a/vscode/vscode-tome-builder/mcp-server/src/index.ts +++ b/vscode/vscode-tome-builder/mcp-server/src/index.ts @@ -1,24 +1,70 @@ import { Server } from "@modelcontextprotocol/sdk/server/index.js"; import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; import { - CallToolRequestSchema, - ListToolsRequestSchema, - Tool, + CallToolRequestSchema, + ListToolsRequestSchema, + Tool, } from "@modelcontextprotocol/sdk/types.js"; -import { DOCS, EXAMPLES } from "./assets.js"; +import { z } from "zod"; +import * as fs from 'fs'; +import * as path from 'path'; + +// --- Helper Functions for Runtime File Reading --- + +const GITHUB_RAW_BASE = "https://raw.githubusercontent.com/spellshift/realm/main"; + +async function readDocFile(relativePath: string): Promise { + const url = `${GITHUB_RAW_BASE}/${relativePath}`; + try { + const response = await fetch(url); + if (!response.ok) { + return `Error fetching documentation from GitHub: HTTP ${response.status}`; + } + return await response.text(); + } catch (e) { + return `Error fetching documentation: ${e}`; + } +} + +async function readExample(tomeName: string): Promise<{ metadata: string, script: string }> { + const tomeDirUrl = `${GITHUB_RAW_BASE}/tavern/tomes/${tomeName}`; + try { + const [metaRes, scriptRes] = await Promise.all([ + fetch(`${tomeDirUrl}/metadata.yml`), + fetch(`${tomeDirUrl}/main.eldritch`) + ]); + + if (!metaRes.ok || !scriptRes.ok) { + return { + metadata: `Error fetching metadata.yml: HTTP ${metaRes.status}`, + script: `Error fetching main.eldritch: HTTP ${scriptRes.status}` + }; + } + + const metadata = await metaRes.text(); + const script = await scriptRes.text(); + + return { metadata, script }; + } catch (e) { + return { + metadata: `Network error fetching metadata: ${e}`, + script: `Network error fetching script: ${e}` + }; + } +} // --- Server Setup --- const server = new Server( - { - name: "tome-builder", - version: "1.0.0", - }, - { - capabilities: { - tools: {}, + { + name: "tome-builder", + version: "1.0.0", }, - } + { + capabilities: { + tools: {}, + }, + } ); // Define Tools @@ -46,8 +92,8 @@ const getTomeExamplesTool: Tool = { properties: { topic: { type: "string", - enum: Object.keys(EXAMPLES), - description: "The name of the tome example to retrieve." + enum: ["file_write", "persist_service"], + description: "The example to retrieve. 'file_write' is simple, 'persist_service' is complex (templates, os checks)." } }, required: ["topic"] @@ -78,35 +124,57 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => { if (name === "get_documentation") { const topic = (args as any).topic; + + const SYSTEM_PROMPTS = ` + === CRITICAL AI ELDRITCH PROMPT INSTRUCTIONS === + 1. ALWAYS use \`eprint(...)\` for logging errors to stderr. NEVER use \`print("error: ...")\`. + 2. \`print(...)\` is STRICTLY reserved for actual stdout data output. + 3. Do NOT hallucinate Python standard libraries (e.g. no \`os\`, \`subprocess\`, \`json\`). You MUST use the Eldritch APIs defined below. + ================================================ + \n\n`; + if (topic === "tomes") { + const content = await readDocFile('docs/_docs/user-guide/tomes.md'); return { - content: [{ type: "text", text: DOCS.tomes }], + content: [{ type: "text", text: SYSTEM_PROMPTS + content }], }; } else if (topic === "eldritch") { + const content = await readDocFile('docs/_docs/user-guide/eldritch.md'); return { - content: [{ type: "text", text: DOCS.eldritch }], + content: [{ type: "text", text: SYSTEM_PROMPTS + content }], }; } return { content: [], isError: true }; } if (name === "get_tome_examples") { - const topic = (args as any).topic as string; - const example = EXAMPLES[topic]; - - if (example) { + const topic = (args as any).topic; + const SYSTEM_PROMPTS = ` + === CRITICAL AI ELDRITCH PROMPT INSTRUCTIONS === + 1. ALWAYS use \`eprint(...)\` for logging errors to stderr. NEVER use \`print("error: ...")\`. + 2. \`print(...)\` is STRICTLY reserved for actual stdout data output. + 3. Do NOT hallucinate Python standard libraries (e.g. no \`os\`, \`subprocess\`, \`json\`). You MUST use the Eldritch APIs defined below. + ================================================ + \n\n`; + + if (topic === "file_write") { + const example = await readExample('file_write'); return { content: [ - { type: "text", text: "## metadata.yml\n" + example.metadata }, + { type: "text", text: SYSTEM_PROMPTS + "## metadata.yml\n" + example.metadata }, + { type: "text", text: "## main.eldritch\n" + example.script } + ] + }; + } else if (topic === "persist_service") { + const example = await readExample('persist_service'); + return { + content: [ + { type: "text", text: SYSTEM_PROMPTS + "## metadata.yml\n" + example.metadata }, { type: "text", text: "## main.eldritch\n" + example.script } ] }; } - - return { - content: [{ type: "text", text: `Example '${topic}' not found. Available: ${Object.keys(EXAMPLES).join(", ")}` }], - isError: true - }; + return { content: [], isError: true }; } if (name === "validate_tome_structure") { @@ -137,12 +205,12 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => { }); async function main() { - const transport = new StdioServerTransport(); - await server.connect(transport); - console.error("Tome MCP Server running on stdio"); + const transport = new StdioServerTransport(); + await server.connect(transport); + console.error("Tome MCP Server running on stdio"); } main().catch((error) => { - console.error("Fatal error in main():", error); - process.exit(1); + console.error("Fatal error in main():", error); + process.exit(1); }); diff --git a/vscode/vscode-tome-builder/media/highlight.css b/vscode/vscode-tome-builder/media/highlight.css deleted file mode 100644 index 7f6fe11cc..000000000 --- a/vscode/vscode-tome-builder/media/highlight.css +++ /dev/null @@ -1 +0,0 @@ -pre 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"./out/extension.js", "contributes": { + "languages": [ + { + "id": "eldritch", + "aliases": [ + "Eldritch", + "eldritch" + ], + "extensions": [ + ".tome", + ".eldritch" + ], + "configuration": "./syntaxes/eldritch.configuration.json" + } + ], + "grammars": [ + { + "language": "eldritch", + "scopeName": "source.eldritch", + "path": "./syntaxes/eldritch.tmLanguage.json" + } + ], "commands": [ { - "command": "tomeBuilder.openChat", - "title": "Open Tome Builder Chat" + "command": "tomeBuilder.registerMcp", + "title": "Tome Builder: Register MCP Server for AI extensions" } ], - "viewsContainers": { - "activitybar": [ - { - "id": "tome-builder-view", - "title": "Tome Builder", - "icon": "$(beaker)" - } - ] - }, - "views": { - "tome-builder-view": [ - { - "id": "tome-builder-chat", - "name": "Chat", - "type": "webview" - } - ] - }, - "configuration": { - "title": "Tome Builder", - "properties": { - "tomeBuilder.llm.provider": { - "type": "string", - "enum": [ - "gemini", - "openai", - "anthropic" - ], - "default": "gemini", - "description": "The LLM provider to use." - }, - "tomeBuilder.llm.model": { - "type": "string", - "default": "gemini-2.0-flash-exp", - "description": "The model ID to use." - }, - "tomeBuilder.llm.apiKey": { - "type": "string", - "default": "", - "description": "API Key for the LLM provider." - } + "mcpServers": { + "tome-builder": { + "command": "node", + "args": [ + "./mcp-server/dist/index.js" + ] } } }, "scripts": { "vscode:prepublish": "npm run compile", "compile": "tsc -p ./", - "watch": "tsc -watch -p ./" + "watch": "tsc -watch -p ./", + "build-mcp": "cd mcp-server && npm install && npm run build" }, "devDependencies": { "@types/node": "^18.0.0", "@types/vscode": "^1.80.0", "typescript": "^5.0.0" - }, - "dependencies": { - "@google/generative-ai": "^0.24.1", - "@modelcontextprotocol/sdk": "^0.6.1", - "zod": "^3.25.76" } } diff --git a/vscode/vscode-tome-builder/src/extension.ts b/vscode/vscode-tome-builder/src/extension.ts index 52275a173..b0c330e37 100644 --- a/vscode/vscode-tome-builder/src/extension.ts +++ b/vscode/vscode-tome-builder/src/extension.ts @@ -1,37 +1,126 @@ import * as vscode from 'vscode'; -import { ChatPanel } from './panels/ChatPanel'; -import { McpClientService } from './services/McpClientService'; -let mcpService: McpClientService; +import * as fs from 'fs'; +import * as path from 'path'; export async function activate(context: vscode.ExtensionContext) { - console.log('Tome Builder extension is now active!'); + console.log('Realm Tome Builder: Context activated. Registering MCP Server...'); + + // Path to the bundled MCP server + const mcpServerPath = path.join(context.extensionPath, 'mcp-server', 'dist', 'index.js'); + + if (!fs.existsSync(mcpServerPath)) { + vscode.window.showErrorMessage(`Realm Tome Builder: MCP server not found at ${mcpServerPath}`); + // We do not return immediately, so the command registration still succeeds + } - // Start MCP Service - mcpService = new McpClientService(context); try { - await mcpService.start(); + await injectClineWorkspaceConfig(mcpServerPath); + await injectVsCodeMcpWorkspaceConfig(mcpServerPath); } catch (e) { - vscode.window.showErrorMessage(`Failed to start MCP Server: ${e}`); + console.error('Failed to inject config:', e); } - // Register View - const provider = new ChatPanel(context.extensionUri, context, mcpService); - + // Command to manually trigger registration if needed context.subscriptions.push( - vscode.window.registerWebviewViewProvider(ChatPanel.viewType, provider) - ); - - context.subscriptions.push( - vscode.commands.registerCommand('tomeBuilder.openChat', () => { - // Focus the view - vscode.commands.executeCommand('workbench.view.extension.tome-builder-view'); + vscode.commands.registerCommand('tomeBuilder.registerMcp', async () => { + await injectClineWorkspaceConfig(mcpServerPath); + await injectVsCodeMcpWorkspaceConfig(mcpServerPath); + vscode.window.showInformationMessage('Realm Tome Builder: MCP server registered with workspace settings!'); }) ); + + // Prompt the user once on first activation + const hasPrompted = context.workspaceState.get('tomeBuilder.hasPromptedMcp', false); + if (!hasPrompted) { + vscode.window.showInformationMessage( + 'Realm Tome Builder initialized. The Tome MCP server is now available for Cursor, Cline, and Copilot (once native support lands).', + 'OK' + ); + context.workspaceState.update('tomeBuilder.hasPromptedMcp', true); + } } -export async function deactivate() { - if (mcpService) { - await mcpService.stop(); +export function deactivate() { } + +async function injectClineWorkspaceConfig(mcpServerPath: string) { + if (!vscode.workspace.workspaceFolders) { + return; + } + + for (const folder of vscode.workspace.workspaceFolders) { + const vscodeDir = path.join(folder.uri.fsPath, '.vscode'); + if (!fs.existsSync(vscodeDir)) { + fs.mkdirSync(vscodeDir, { recursive: true }); + } + + const clineConfigPath = path.join(vscodeDir, 'cline_mcp_settings.json'); + let config: any = { mcpServers: {} }; + + if (fs.existsSync(clineConfigPath)) { + try { + const content = fs.readFileSync(clineConfigPath, 'utf8'); + if (content.trim()) { + config = JSON.parse(content); + } + } catch (e) { + console.error('Error parsing cline config', e); + } + } + + if (!config.mcpServers) { + config.mcpServers = {}; + } + + // Use path.normalize to prevent escaped Windows backslashes ending up weird, though stringify handles it. + config.mcpServers["tome-builder"] = { + "command": "node", + "args": [mcpServerPath.replace(/\\/g, '/')], + "disabled": false, + "alwaysAllow": [] + }; + + + fs.writeFileSync(clineConfigPath, JSON.stringify(config, null, 2)); + } +} + +async function injectVsCodeMcpWorkspaceConfig(mcpServerPath: string) { + if (!vscode.workspace.workspaceFolders) { + return; + } + + for (const folder of vscode.workspace.workspaceFolders) { + const vscodeDir = path.join(folder.uri.fsPath, '.vscode'); + if (!fs.existsSync(vscodeDir)) { + fs.mkdirSync(vscodeDir, { recursive: true }); + } + + const mcpConfigPath = path.join(vscodeDir, 'mcp.json'); + let config: any = { mcpServers: {} }; + + if (fs.existsSync(mcpConfigPath)) { + try { + const content = fs.readFileSync(mcpConfigPath, 'utf8'); + if (content.trim()) { + config = JSON.parse(content); + } + } catch (e) { + console.error('Error parsing mcp config', e); + } + } + + if (!config.mcpServers) { + config.mcpServers = {}; + } + + // Use path.normalize to prevent escaped Windows backslashes ending up weird + config.mcpServers["tome-builder"] = { + "command": "node", + "args": [mcpServerPath.replace(/\\/g, '/')] + }; + + fs.writeFileSync(mcpConfigPath, JSON.stringify(config, null, 2)); + } } diff --git a/vscode/vscode-tome-builder/src/panels/ChatPanel.ts b/vscode/vscode-tome-builder/src/panels/ChatPanel.ts deleted file mode 100644 index a55074ec9..000000000 --- a/vscode/vscode-tome-builder/src/panels/ChatPanel.ts +++ /dev/null @@ -1,423 +0,0 @@ -import * as vscode from 'vscode'; -import { McpClientService } from '../services/McpClientService'; -import { LlmService } from '../services/LlmService'; - -export class ChatPanel implements vscode.WebviewViewProvider { - public static readonly viewType = 'tome-builder-chat'; - private _view?: vscode.WebviewView; - private _llmService?: LlmService; - - constructor( - private readonly _extensionUri: vscode.Uri, - private readonly _context: vscode.ExtensionContext, - private readonly _mcpService: McpClientService - ) {} - - public resolveWebviewView( - webviewView: vscode.WebviewView, - context: vscode.WebviewViewResolveContext, - _token: vscode.CancellationToken, - ) { - this._view = webviewView; - webviewView.webview.options = { - enableScripts: true, - localResourceRoots: [ - this._extensionUri, - vscode.Uri.joinPath(this._extensionUri, 'media') - ] - }; - - webviewView.webview.html = this._getHtmlForWebview(webviewView.webview); - - webviewView.webview.onDidReceiveMessage(async (data) => { - switch (data.type) { - case 'init': { - await this._handleInit(); - break; - } - case 'userMessage': { - await this._handleUserMessage(data.value); - break; - } - case 'saveFile': { - await this._handleSaveFile(data.content, data.language); - break; - } - case 'modelSelected': { - await this._handleModelSelected(data.value); - break; - } - case 'log': { - console.log(`Webview Log: ${data.value}`); - break; - } - } - }); - } - - private async _handleInit() { - if (!this._view) return; - try { - const config = vscode.workspace.getConfiguration('tomeBuilder'); - const apiKey = config.get('llm.apiKey'); - const savedModel = config.get('llm.model') || 'gemini-2.0-flash-exp'; - - if (!apiKey) { - this._view.webview.postMessage({ type: 'addMessage', role: 'system', content: 'Please set your Gemini API Key in Settings (Tome Builder > Llm > Api Key).' }); - return; - } - - const client = this._mcpService.getClient(); - if (!client) { - this._view.webview.postMessage({ type: 'addMessage', role: 'error', content: 'MCP Client not connected. Check extension logs.' }); - return; - } - - if (!this._llmService) { - this._llmService = new LlmService(apiKey, client, savedModel); - } - - const models = await this._llmService.listAvailableModels(); - this._view.webview.postMessage({ type: 'setModels', models: models, current: savedModel }); - - } catch (e: any) { - console.error("Init failed:", e); - } - } - - private async _handleModelSelected(modelName: string) { - if (this._llmService) { - this._llmService.setModel(modelName); - await vscode.workspace.getConfiguration('tomeBuilder').update('llm.model', modelName, vscode.ConfigurationTarget.Global); - if (this._view) { - this._view.webview.postMessage({ type: 'addMessage', role: 'system', content: `Switched to model: ${modelName}` }); - } - } - } - - private async _handleSaveFile(content: string, language: string) { - let defaultName = 'untitled'; - if (language === 'yaml' || language === 'yml') defaultName = 'metadata.yml'; - if (language === 'python' || language === 'eldritch') defaultName = 'main.eldritch'; - - const uri = await vscode.window.showSaveDialog({ - defaultUri: vscode.Uri.file(defaultName), - saveLabel: 'Save Tome File', - filters: { - 'Tome Files': ['eldritch', 'yml', 'yaml'], - 'All Files': ['*'] - } - }); - - if (uri) { - await vscode.workspace.fs.writeFile(uri, Buffer.from(content, 'utf8')); - vscode.window.showInformationMessage(`Saved to ${uri.fsPath}`); - } - } - - private async _handleUserMessage(message: string) { - if (!this._view) return; - - try { - const config = vscode.workspace.getConfiguration('tomeBuilder'); - const apiKey = config.get('llm.apiKey'); - - if (!apiKey) { - this._view.webview.postMessage({ type: 'addMessage', role: 'system', content: 'Please set your Gemini API Key in Settings (Tome Builder > Llm > Api Key).' }); - return; - } - - if (!this._llmService) { - const client = this._mcpService.getClient(); - if (!client) { - this._view.webview.postMessage({ type: 'addMessage', role: 'error', content: 'MCP Client not connected. Check extension logs.' }); - return; - } - const model = config.get('llm.model') || 'gemini-2.0-flash-exp'; - this._llmService = new LlmService(apiKey, client, model); - } - - this._view.webview.postMessage({ type: 'setLoading', value: true }); - - const response = await this._llmService.sendMessage(message); - - this._view.webview.postMessage({ type: 'addMessage', role: 'assistant', content: response }); - - } catch (e: any) { - console.error(e); - let errorMsg = `Error: ${e.message || e}`; - if (e.message && e.message.includes("404")) { - errorMsg += "\n\nThe selected model might not be available. Please try selecting a different model from the dropdown above."; - } - this._view.webview.postMessage({ type: 'addMessage', role: 'error', content: errorMsg }); - } finally { - this._view.webview.postMessage({ type: 'setLoading', value: false }); - } - } - - private _getHtmlForWebview(webview: vscode.Webview) { - const scriptUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'media', 'highlight.js')); - const styleUri = webview.asWebviewUri(vscode.Uri.joinPath(this._extensionUri, 'media', 'highlight.css')); - - return ` - - - - - Tome Builder - - - - - - -
-
- - -
- - - `; - } -} diff --git a/vscode/vscode-tome-builder/src/services/LlmService.ts b/vscode/vscode-tome-builder/src/services/LlmService.ts deleted file mode 100644 index 28d1bdcf1..000000000 --- a/vscode/vscode-tome-builder/src/services/LlmService.ts +++ /dev/null @@ -1,142 +0,0 @@ -import { GoogleGenerativeAI } from "@google/generative-ai"; -import { Client } from "@modelcontextprotocol/sdk/client/index.js"; -import * as vscode from 'vscode'; - -export class LlmService { - private genAI: GoogleGenerativeAI; - private model: any; - private chatSession: any; - - constructor(private apiKey: string, private mcpClient: Client, private modelName: string = "gemini-2.0-flash-exp") { - this.genAI = new GoogleGenerativeAI(apiKey); - // Note: Gemini 2.0 might require specific beta API version or model string. - // Using standard getGenerativeModel. - this.model = this.genAI.getGenerativeModel({ - model: modelName, - systemInstruction: this._getSystemInstruction() - }); - } - - setModel(modelName: string) { - this.modelName = modelName; - this.model = this.genAI.getGenerativeModel({ - model: modelName, - systemInstruction: this._getSystemInstruction() - }); - this.chatSession = undefined; // Reset session - } - - private _getSystemInstruction(): string { - return "You are an expert Realm Tome developer. Your goal is to help users write 'Tomes' (Eldritch packages). " + - "You have access to tools to retrieve documentation and EXAMPLES. " + - "When asked to create a Tome, you MUST follow these steps:\n" + - "1. Check the documentation ('get_documentation') or examples ('get_tome_examples') to understand the syntax and structure.\n" + - "2. Generate TWO files: 'metadata.yml' and 'main.eldritch'.\n" + - "3. 'metadata.yml' must include name, description, tactic, and paramdefs.\n" + - "4. 'main.eldritch' is the logic script. It uses Starlark-based Eldritch DSL.\n" + - " - DO NOT use 'import' statements (e.g., 'import sys', 'import os' are FORBIDDEN). The standard library ('sys', 'file', 'process', etc.) is already loaded globally.\n" + - " - Use native Eldritch functions (e.g., 'file.write', 'sys.is_linux') instead of 'sys.shell' where possible for better OPSEC, but 'sys.shell' is allowed if necessary (e.g., for 'systemctl').\n" + - " - Use 'file.template' for configuration files if complex.\n" + - " - ALWAYS use 'eprint()' for printing error messages, and 'print()' for standard information.\n" + - "5. Use the 'validate_tome_structure' tool to verify your output before showing it to the user.\n" + - "6. Output the final code in markdown blocks: ```yaml for metadata and ```python for eldritch (for syntax highlighting)."; - } - - async listAvailableModels(): Promise { - try { - // The SDK doesn't export listModels directly on GoogleGenerativeAI, so we fetch manually. - // Documentation: https://ai.google.dev/api/rest/v1beta/models/list - const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models?key=${this.apiKey}`); - if (!response.ok) { - console.error(`Failed to list models: ${response.statusText}`); - return ["gemini-2.0-flash-exp", "gemini-1.5-pro", "gemini-1.5-flash"]; - } - const data = await response.json(); - if (data && data.models) { - return data.models - .map((m: any) => m.name.replace('models/', '')) - .filter((name: string) => name.includes('gemini')); - } - } catch (e) { - console.error("Error listing models:", e); - } - return ["gemini-2.0-flash-exp", "gemini-1.5-pro", "gemini-1.5-flash"]; - } - - async startSession() { - if (!this.mcpClient) throw new Error("MCP Client not initialized"); - - console.log("Listing tools from MCP..."); - const toolsList = await this.mcpClient.listTools(); - console.log(`Found ${toolsList.tools.length} tools.`); - - const tools = toolsList.tools.map((tool: any) => { - // Ensure inputSchema is clean for Gemini - return { - name: tool.name, - description: tool.description, - parameters: tool.inputSchema - }; - }); - - this.chatSession = this.model.startChat({ - tools: [{ functionDeclarations: tools }] - }); - console.log("Gemini Chat Session started."); - } - - async sendMessage(message: string): Promise { - if (!this.chatSession) await this.startSession(); - - console.log(`Sending message to Gemini: ${message}`); - let result = await this.chatSession.sendMessage(message); - let response = await result.response; - - let functionCalls = response.functionCalls(); - - while (functionCalls && functionCalls.length > 0) { - console.log("Model requested function calls:", functionCalls); - const functionResponses = []; - - for (const call of functionCalls) { - console.log(`Executing tool: ${call.name}`); - - try { - const mcpResult = await this.mcpClient.callTool({ - name: call.name, - arguments: call.args - }); - - // MCP returns content: [{ type: 'text', text: '...' }] - // We join them for the model - // @ts-ignore - const textContent = mcpResult.content.map((c: any) => c.text).join("\n"); - - console.log(`Tool ${call.name} executed successfully.`); - - functionResponses.push({ - functionResponse: { - name: call.name, - response: { content: textContent } - } - }); - } catch (e) { - console.error(`Error executing tool ${call.name}:`, e); - functionResponses.push({ - functionResponse: { - name: call.name, - response: { error: String(e) } - } - }); - } - } - - console.log("Sending function responses back to Gemini..."); - result = await this.chatSession.sendMessage(functionResponses); - response = await result.response; - functionCalls = response.functionCalls(); - } - - return response.text(); - } -} diff --git a/vscode/vscode-tome-builder/src/services/McpClientService.ts b/vscode/vscode-tome-builder/src/services/McpClientService.ts deleted file mode 100644 index 93524e0c6..000000000 --- a/vscode/vscode-tome-builder/src/services/McpClientService.ts +++ /dev/null @@ -1,48 +0,0 @@ -import { Client } from "@modelcontextprotocol/sdk/client/index.js"; -import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js"; -import * as vscode from 'vscode'; -import * as path from 'path'; - -export class McpClientService { - private client: Client | undefined; - private transport: StdioClientTransport | undefined; - - constructor(private context: vscode.ExtensionContext) {} - - async start() { - const serverPath = path.join(this.context.extensionUri.fsPath, 'mcp-server', 'dist', 'index.js'); - - console.log(`Starting MCP server at: ${serverPath}`); - - this.transport = new StdioClientTransport({ - command: "node", - args: [serverPath] - }); - - this.client = new Client( - { - name: "tome-builder-client", - version: "1.0.0", - }, - { - capabilities: {}, - } - ); - - try { - await this.client.connect(this.transport); - console.log("MCP Client connected to server"); - } catch (e) { - console.error("Failed to connect to MCP server:", e); - vscode.window.showErrorMessage(`Failed to connect to MCP Server: ${e}`); - } - } - - async stop() { - await this.transport?.close(); - } - - getClient(): Client | undefined { - return this.client; - } -} diff --git a/vscode/vscode-tome-builder/syntaxes/eldritch.configuration.json b/vscode/vscode-tome-builder/syntaxes/eldritch.configuration.json new file mode 100644 index 000000000..484894c64 --- /dev/null +++ b/vscode/vscode-tome-builder/syntaxes/eldritch.configuration.json @@ -0,0 +1,32 @@ +{ + "comments": { + "lineComment": "#" + }, + "brackets": [ + ["{", "}"], + ["[", "]"], + ["(", ")"] + ], + "autoClosingPairs": [ + ["{", "}"], + ["[", "]"], + ["(", ")"], + { + "open": "\"", + "close": "\"", + "notIn": ["string", "comment"] + }, + { + "open": "'", + "close": "'", + "notIn": ["string", "comment"] + } + ], + "surroundingPairs": [ + ["{", "}"], + ["[", "]"], + ["(", ")"], + ["\"", "\""], + ["'", "'"] + ] +} \ No newline at end of file diff --git a/vscode/vscode-tome-builder/syntaxes/eldritch.tmLanguage.json b/vscode/vscode-tome-builder/syntaxes/eldritch.tmLanguage.json new file mode 100644 index 000000000..0530c770d --- /dev/null +++ b/vscode/vscode-tome-builder/syntaxes/eldritch.tmLanguage.json @@ -0,0 +1,927 @@ +{ + "name": "Eldritch", + "scopeName": "source.eldritch", + "fileTypes": ["eldritch"], + "patterns": [ + { + "include": "#statement" + }, + { + "include": "#expression" + } + ], + "repository": { + "statement": { + "patterns": [ + { + "include": "#function-definition" + }, + { + "include": "#statement-keyword" + }, + { + "include": "#assignment-operator" + }, + { + "include": "#docstring-statement" + }, + { + "include": "#discouraged-semicolon" + } + ] + }, + "docstring-statement": { + "begin": "^(?=\\s*r?('''|\"\"\"|'|\"))", + "end": "(?<='''|\"\"\"|'|\")", + "patterns": [ + { + "include": "#docstring" + } + ] + }, + "docstring": { + "patterns": [ + { + "name": "comment.block.documentation.eldritch", + "begin": "('''|\"\"\")", + "end": "(\\1)", + "beginCaptures": { + "1": { + "name": "punctuation.definition.string.begin.eldritch" + } + }, + "endCaptures": { + "1": { + "name": "punctuation.definition.string.end.eldritch" + } + }, + "patterns": [ + { + "include": "#code-tag" + }, + { + "include": "#docstring-content" + } + ] + }, + { + "name": "comment.block.documentation.eldritch", + "begin": "(r)('''|\"\"\")", + "end": "(\\2)", + "beginCaptures": { + "1": { + "name": "storage.type.string.eldritch" + }, + "2": { + "name": "punctuation.definition.string.begin.eldritch" + } + }, + "endCaptures": { + "1": { + "name": "punctuation.definition.string.end.eldritch" + } + }, + "patterns": [ + { + "include": "#string-consume-escape" + }, + { + "include": "#code-tag" + } + ] + }, + { + "name": "comment.line.documentation.eldritch", + "begin": "('|\")", + "end": "(\\1)|((?=|<=|<|>)(?# 4)", + "captures": { + "1": { + "name": "keyword.operator.logical.eldritch" + }, + "2": { + "name": "keyword.control.flow.eldritch" + }, + "3": { + "name": "keyword.operator.arithmetic.eldritch" + }, + "4": { + "name": "keyword.operator.comparison.eldritch" + } + } + }, + "literal": { + "patterns": [ + { + "name": "constant.language.eldritch", + "match": "\\b(True|False|None)\\b" + }, + { + "include": "#number" + } + ] + }, + "number": { + "patterns": [ + { + "include": "#number-decimal" + }, + { + "include": "#number-hexadecimal" + }, + { + "include": "#number-octal" + }, + { + "name": "invalid.illegal.name.eldritch", + "match": "\\b[0-9]+\\w+" + } + ] + }, + "number-decimal": { + "name": "constant.numeric.decimal.eldritch", + "match": "(?