zignet/dist/mcp-server.cjs.map

MCP server for Zig — AI-powered code analysis, validation, and documentation with fine-tuned LLM

{"version":3,"file":"mcp-server.cjs","names":["modelDownloader","LlamaChatSession","globalLLM: ZigNetLLM | null","blocks: string[]","fixes: Fix[]","codeBlocks: string[]","descriptions: string[]","Server","ListToolsRequestSchema","SUPPORTED_ZIG_VERSIONS","DEFAULT_ZIG_VERSION","CallToolRequestSchema","formatAnalyzeResult","analyzeZig","formatCompileResult","compileZig","modelDownloader","StdioServerTransport"],"sources":["../src/llm/session.ts","../src/tools/docs.ts","../src/tools/suggest.ts","../src/mcp-server.ts"],"sourcesContent":["import {\n    getLlama,\n    LlamaModel,\n    LlamaContext,\n    LlamaChatSession,\n} from \"node-llama-cpp\";\nimport { modelDownloader } from \"./model-downloader.js\";\n\nexport interface LLMConfig {\n    modelPath?: string;\n    gpuDevice?: string;\n    gpuLayers?: number;\n    contextSize?: number;\n    temperature?: number;\n    topP?: number;\n}\n\nexport class ZigNetLLM {\n    private model: LlamaModel | null = null;\n    private context: LlamaContext | null = null;\n    private session: LlamaChatSession | null = null;\n    private config: Required<Omit<LLMConfig, \"gpuDevice\">> & {\n        gpuDevice?: string;\n    };\n\n    constructor(config: LLMConfig = {}) {\n        this.config = {\n            modelPath: config.modelPath || \"\",\n            gpuDevice: config.gpuDevice,\n            gpuLayers: config.gpuLayers ?? 35, // RTX 3090 can handle all layers\n            contextSize: config.contextSize ?? 4096,\n            temperature: config.temperature ?? 0.7,\n            topP: config.topP ?? 0.9,\n        };\n    }\n\n    /**\n     * Initialize the LLM model and session\n     */\n    async initialize(): Promise<void> {\n        if (this.session) {\n            console.log(\"ℹ️  LLM already initialized\");\n            return;\n        }\n\n        console.log(\"🚀 Initializing ZigNet LLM...\");\n\n        // Set GPU device if specified (applies CUDA_VISIBLE_DEVICES)\n        if (this.config.gpuDevice !== undefined) {\n            process.env.CUDA_VISIBLE_DEVICES = this.config.gpuDevice;\n            console.log(`🎯 GPU device selection: ${this.config.gpuDevice}`);\n        }\n\n        // Get model path (download if needed)\n        const modelPath =\n            this.config.modelPath ||\n            (await modelDownloader.ensureModel((progress) => {\n                if (progress.percent % 10 < 1) {\n                    // Log every 10%\n                    console.log(\n                        `📥 Downloading model: ${progress.percent.toFixed(1)}%`,\n                    );\n                }\n            }));\n\n        console.log(`📦 Loading model: ${modelPath}`);\n        console.log(`🎮 GPU layers: ${this.config.gpuLayers}`);\n\n        // Initialize llama\n        const llama = await getLlama();\n\n        // Load model\n        this.model = await llama.loadModel({\n            modelPath,\n            gpuLayers: this.config.gpuLayers,\n        });\n\n        // Create context\n        this.context = await this.model.createContext({\n            contextSize: this.config.contextSize,\n        });\n\n        // Create chat session with Zig-specific system prompt\n        this.session = new LlamaChatSession({\n            contextSequence: this.context.getSequence(),\n            systemPrompt: `You are ZigNet, an AI assistant specialized in Zig programming language (v0.13-0.15).\n\nYour expertise includes:\n- Explaining Zig syntax, features, and idioms\n- Understanding comptime, generics, and error handling\n- Providing code examples and fixes\n- Referencing official Zig documentation\n\nAlways:\n- Generate idiomatic Zig code\n- Explain Zig-specific concepts clearly\n- Suggest best practices\n- Validate syntax mentally before responding\n\nWhen unsure, reference official Zig docs or suggest using 'zig ast-check'.`,\n        });\n\n        console.log(\"✅ LLM initialized successfully!\");\n    }\n\n    /**\n     * Query the LLM with a prompt\n     */\n    async query(prompt: string): Promise<string> {\n        if (!this.session) {\n            await this.initialize();\n        }\n\n        if (!this.session) {\n            throw new Error(\"Failed to initialize LLM session\");\n        }\n\n        console.log(`🤔 Querying LLM: ${prompt.substring(0, 50)}...`);\n\n        const response = await this.session.prompt(prompt, {\n            temperature: this.config.temperature,\n            topP: this.config.topP,\n        });\n\n        return response;\n    }\n\n    /**\n     * Dispose resources\n     */\n    dispose(): void {\n        if (this.context) {\n            void this.context.dispose();\n            this.context = null;\n        }\n        if (this.model) {\n            void this.model.dispose();\n            this.model = null;\n        }\n        this.session = null;\n        console.log(\"🗑️  LLM resources disposed\");\n    }\n}\n\n/**\n * Singleton instance\n */\nlet globalLLM: ZigNetLLM | null = null;\n\n/**\n * Get or create the global LLM instance\n */\nexport async function getLLM(config?: LLMConfig): Promise<ZigNetLLM> {\n    if (!globalLLM) {\n        // If no config provided, load from environment\n        if (!config) {\n            const {\n                MODEL_PATH,\n                GPU_DEVICE,\n                GPU_LAYERS,\n                CONTEXT_SIZE,\n                TEMPERATURE,\n                TOP_P,\n            } = await import(\"../config.js\");\n            config = {\n                modelPath: MODEL_PATH,\n                gpuDevice: GPU_DEVICE,\n                gpuLayers: GPU_LAYERS,\n                contextSize: CONTEXT_SIZE,\n                temperature: TEMPERATURE,\n                topP: TOP_P,\n            };\n        }\n        globalLLM = new ZigNetLLM(config);\n        await globalLLM.initialize();\n    }\n    return globalLLM;\n}\n\n/**\n * Dispose the global LLM instance\n */\nexport function disposeLLM(): void {\n    if (globalLLM) {\n        globalLLM.dispose();\n        globalLLM = null;\n    }\n}\n","/**\n * get_zig_docs tool - Query Zig documentation using LLM\n */\n\nimport { getLLM } from \"../llm/session.js\";\n\nexport interface GetZigDocsArgs {\n    topic: string;\n    detail_level?: \"basic\" | \"intermediate\" | \"advanced\";\n}\n\nexport interface GetZigDocsResult {\n    topic: string;\n    documentation: string;\n    examples?: string[];\n}\n\n/**\n * Get Zig documentation for a specific topic\n */\nexport async function getZigDocs(\n    args: GetZigDocsArgs,\n): Promise<GetZigDocsResult> {\n    const { topic, detail_level = \"intermediate\" } = args;\n\n    console.log(`📚 Getting Zig docs for: ${topic} (${detail_level})`);\n\n    // Construct prompt based on detail level\n    const detailInstructions = {\n        basic: \"Provide a brief, beginner-friendly explanation.\",\n        intermediate: \"Provide a detailed explanation with practical examples.\",\n        advanced:\n            \"Provide an in-depth explanation covering edge cases, best practices, and advanced patterns.\",\n    };\n\n    const prompt = `Explain the following Zig programming concept: \"${topic}\"\n\n${detailInstructions[detail_level]}\n\nFormat your response as:\n1. A clear definition/explanation\n2. One or more code examples\n3. Key points to remember\n\nBe specific to Zig versions 0.13-0.15.`;\n\n    try {\n        const llm = await getLLM();\n        const response = await llm.query(prompt);\n\n        // Parse response to extract examples if possible\n        const examples = extractCodeBlocks(response);\n\n        return {\n            topic,\n            documentation: response,\n            examples: examples.length > 0 ? examples : undefined,\n        };\n    } catch (error) {\n        throw new Error(\n            `Failed to get Zig docs: ${error instanceof Error ? error.message : String(error)}`,\n        );\n    }\n}\n\n/**\n * Extract code blocks from markdown text\n */\nfunction extractCodeBlocks(text: string): string[] {\n    const codeBlockRegex = /```(?:zig)?\\n([\\s\\S]*?)```/g;\n    const blocks: string[] = [];\n    let match;\n\n    while ((match = codeBlockRegex.exec(text)) !== null) {\n        blocks.push(match[1].trim());\n    }\n\n    return blocks;\n}\n","/**\n * suggest_fix tool - Suggest intelligent fixes for Zig errors\n */\n\nimport { getLLM } from \"../llm/session.js\";\n\nexport interface SuggestFixArgs {\n    error_message: string;\n    code_context?: string;\n    error_type?: \"syntax\" | \"type\" | \"semantic\" | \"runtime\";\n}\n\nexport interface SuggestFixResult {\n    error_summary: string;\n    suggested_fixes: Fix[];\n    explanation: string;\n}\n\nexport interface Fix {\n    description: string;\n    code_before?: string;\n    code_after: string;\n    rationale: string;\n}\n\n/**\n * Suggest fixes for Zig compilation errors\n */\nexport async function suggestFix(\n    args: SuggestFixArgs,\n): Promise<SuggestFixResult> {\n    const { error_message, code_context, error_type = \"semantic\" } = args;\n\n    console.log(`💡 Suggesting fix for: ${error_message.substring(0, 50)}...`);\n\n    // Construct prompt with error context\n    const prompt = `You are analyzing a Zig compilation error. Help fix it.\n\nError Message:\n\\`\\`\\`\n${error_message}\n\\`\\`\\`\n\n${code_context ? `Code Context:\\n\\`\\`\\`zig\\n${code_context}\\n\\`\\`\\`\\n` : \"\"}\n\nError Type: ${error_type}\n\nProvide:\n1. A brief summary of what's wrong\n2. 1-3 concrete fix suggestions with code examples\n3. Explanation of why each fix works\n\nFormat your response clearly with code blocks for fixes.`;\n\n    try {\n        const llm = await getLLM();\n        const response = await llm.query(prompt);\n\n        // Parse the response (simplified - could be more sophisticated)\n        const fixes = parseFixes(response);\n\n        return {\n            error_summary: extractErrorSummary(response),\n            suggested_fixes: fixes,\n            explanation: response,\n        };\n    } catch (error) {\n        throw new Error(\n            `Failed to suggest fix: ${error instanceof Error ? error.message : String(error)}`,\n        );\n    }\n}\n\n/**\n * Extract error summary from LLM response\n */\nfunction extractErrorSummary(response: string): string {\n    // Look for first paragraph or sentence\n    const lines = response.split(\"\\n\").filter((line) => line.trim());\n    return lines[0] || \"Error analysis\";\n}\n\n/**\n * Parse fix suggestions from LLM response\n */\nfunction parseFixes(response: string): Fix[] {\n    const fixes: Fix[] = [];\n\n    // Extract code blocks\n    const codeBlockRegex = /```(?:zig)?\\n([\\s\\S]*?)```/g;\n    const codeBlocks: string[] = [];\n    let match;\n\n    while ((match = codeBlockRegex.exec(response)) !== null) {\n        codeBlocks.push(match[1].trim());\n    }\n\n    // Try to find fix descriptions\n    const fixPattern = /(?:Fix|Option|Solution)\\s*\\d*[:.]\\s*([^\\n]+)/gi;\n    const descriptions: string[] = [];\n\n    while ((match = fixPattern.exec(response)) !== null) {\n        descriptions.push(match[1].trim());\n    }\n\n    // Combine descriptions with code blocks\n    for (let i = 0; i < Math.max(descriptions.length, codeBlocks.length); i++) {\n        fixes.push({\n            description: descriptions[i] || `Fix option ${i + 1}`,\n            code_after: codeBlocks[i] || \"// See explanation above\",\n            rationale: `Addresses the ${extractErrorSummary(response)}`,\n        });\n    }\n\n    // If no structured fixes found, create a generic one\n    if (fixes.length === 0) {\n        fixes.push({\n            description: \"Suggested fix\",\n            code_after: codeBlocks[0] || \"// See detailed explanation\",\n            rationale: \"Based on error analysis\",\n        });\n    }\n\n    return fixes;\n}\n","/**\n * ZigNet MCP Server\n *\n * Model Context Protocol server for Zig code analysis and assistance.\n *\n * Tools:\n * - analyze_zig: Analyze Zig code for errors and validation\n * - compile_zig: Compile and format Zig code\n * - get_zig_docs: Retrieve Zig documentation\n * - suggest_fix: Get intelligent fix suggestions\n */\n\nimport { Server } from '@modelcontextprotocol/sdk/server/index.js';\nimport { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';\nimport { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js';\n\n// Import tool implementations\nimport { analyzeZig, formatAnalyzeResult } from \"./tools/analyze.js\";\nimport { compileZig, formatCompileResult } from \"./tools/compile.js\";\nimport { getZigDocs } from \"./tools/docs.js\";\nimport { suggestFix } from \"./tools/suggest.js\";\n\n// Import configuration\nimport { SUPPORTED_ZIG_VERSIONS, DEFAULT_ZIG_VERSION } from './config.js';\n\n/**\n * Create and configure the MCP server\n */\nfunction createServer() {\n    const server = new Server(\n        {\n            name: 'zignet',\n            version: '0.15.2-h',\n        },\n        {\n            capabilities: {\n                tools: {},\n            },\n        }\n    );\n\n    /**\n     * Handler for listing available tools\n     */\n    server.setRequestHandler(ListToolsRequestSchema, async () => {\n        return {\n            tools: [\n                {\n                    name: 'analyze_zig',\n                    description:\n                        'Analyze Zig code for syntax errors, type mismatches, and semantic issues using the official Zig compiler',\n                    inputSchema: {\n                        type: 'object',\n                        properties: {\n                            code: {\n                                type: 'string',\n                                description: 'Zig source code to analyze',\n                            },\n                            zig_version: {\n                                type: 'string',\n                                enum: SUPPORTED_ZIG_VERSIONS as unknown as string[],\n                                description: `Zig version to use for validation (default: ${DEFAULT_ZIG_VERSION})`,\n                            },\n                        },\n                        required: ['code'],\n                    },\n                },\n                {\n                    name: 'compile_zig',\n                    description: 'Format Zig code using the official Zig formatter',\n                    inputSchema: {\n                        type: 'object',\n                        properties: {\n                            code: {\n                                type: 'string',\n                                description: 'Zig source code to format',\n                            },\n                            zig_version: {\n                                type: 'string',\n                                enum: SUPPORTED_ZIG_VERSIONS as unknown as string[],\n                                description: `Zig version to use for formatting (default: ${DEFAULT_ZIG_VERSION})`,\n                            },\n                        },\n                        required: ['code'],\n                    },\n                },\n                {\n                    name: 'get_zig_docs',\n                    description: 'Retrieve Zig documentation for specific topics',\n                    inputSchema: {\n                        type: 'object',\n                        properties: {\n                            topic: {\n                                type: 'string',\n                                description:\n                                    \"Topic to get documentation for (e.g., 'comptime', 'generics')\",\n                            },\n                        },\n                        required: ['topic'],\n                    },\n                },\n                {\n                    name: 'suggest_fix',\n                    description: 'Get intelligent suggestions for fixing Zig code errors',\n                    inputSchema: {\n                        type: 'object',\n                        properties: {\n                            error: {\n                                type: 'string',\n                                description: 'Error message to get fix suggestions for',\n                            },\n                            code: {\n                                type: 'string',\n                                description: 'Code context where the error occurred',\n                            },\n                        },\n                        required: ['error', 'code'],\n                    },\n                },\n            ],\n        };\n    });\n\n    /**\n     * Handler for tool execution\n     */\n    server.setRequestHandler(CallToolRequestSchema, async (request) => {\n        const { name, arguments: args = {} } = request.params;\n\n        switch (name) {\n            case 'analyze_zig': {\n                const code = (args as { code?: string; zig_version?: string }).code;\n                const zig_version = (args as { zig_version?: '0.13.0' | '0.14.0' | '0.15.0' })\n                    .zig_version;\n\n                if (!code) {\n                    throw new Error('Missing required argument: code');\n                }\n\n                const result = await analyzeZig({ code, zig_version });\n                return {\n                    content: [\n                        {\n                            type: 'text',\n                            text: formatAnalyzeResult(result),\n                        },\n                    ],\n                };\n            }\n\n            case 'compile_zig': {\n                const compileArgs = args as {\n                    code?: string;\n                    zig_version?: '0.13.0' | '0.14.0' | '0.15.0';\n                };\n                if (!compileArgs.code) {\n                    throw new Error('Missing required argument: code');\n                }\n\n                const result = await compileZig({\n                    code: compileArgs.code,\n                    zig_version: compileArgs.zig_version,\n                });\n                return {\n                    content: [\n                        {\n                            type: 'text',\n                            text: formatCompileResult(result),\n                        },\n                    ],\n                };\n            }\n\n            case \"get_zig_docs\": {\n                const docsArgs = args as {\n                    topic?: string;\n                    detail_level?: \"basic\" | \"intermediate\" | \"advanced\";\n                };\n                if (!docsArgs.topic) {\n                    throw new Error(\"Missing required argument: topic\");\n                }\n\n                const result = await getZigDocs({\n                    topic: docsArgs.topic,\n                    detail_level: docsArgs.detail_level,\n                });\n\n                return {\n                    content: [\n                        {\n                            type: \"text\",\n                            text: `# Zig Documentation: ${result.topic}\\n\\n${result.documentation}`,\n                        },\n                    ],\n                };\n            }\n\n            case \"suggest_fix\": {\n                const fixArgs = args as {\n                    error_message?: string;\n                    code_context?: string;\n                    error_type?: \"syntax\" | \"type\" | \"semantic\" | \"runtime\";\n                };\n                if (!fixArgs.error_message) {\n                    throw new Error(\"Missing required argument: error_message\");\n                }\n\n                const result = await suggestFix({\n                    error_message: fixArgs.error_message,\n                    code_context: fixArgs.code_context,\n                    error_type: fixArgs.error_type,\n                });\n\n                // Format fixes\n                const fixesText = result.suggested_fixes\n                    .map(\n                        (fix, i) =>\n                            `## Fix ${i + 1}: ${fix.description}\\n\\n\\`\\`\\`zig\\n${fix.code_after}\\n\\`\\`\\`\\n\\n**Rationale**: ${fix.rationale}`,\n                    )\n                    .join(\"\\n\\n\");\n\n                return {\n                    content: [\n                        {\n                            type: \"text\",\n                            text: `# Error Fix Suggestions\\n\\n**Error**: ${result.error_summary}\\n\\n${fixesText}\\n\\n## Full Analysis\\n\\n${result.explanation}`,\n                        },\n                    ],\n                };\n            }\n\n            default:\n                throw new Error(`Unknown tool: ${name}`);\n        }\n    });\n\n    return server;\n}\n\n/**\n * Main entry point\n */\nasync function main() {\n    console.error('🚀 ZigNet MCP Server starting...');\n\n    // Log configuration\n    console.error(`📋 Configuration:`);\n    console.error(`   - Zig versions: ${SUPPORTED_ZIG_VERSIONS.join(', ')}`);\n    console.error(`   - Default version: ${DEFAULT_ZIG_VERSION}`);\n\n    // Check and download model if needed\n    const { modelDownloader } = await import('./llm/model-downloader.js');\n    const modelAvailable = modelDownloader.isModelAvailable();\n\n    console.error(`🤖 Model status:`);\n    if (modelAvailable) {\n        console.error(`   ✅ Model ready: ${modelDownloader.getModelPath()}`);\n    } else {\n        console.error(`   📥 Model not found - downloading now...`);\n        console.error(`   📍 Target: ${modelDownloader.getModelPath()}`);\n\n        try {\n            let lastLoggedPercent = -1;\n            await modelDownloader.ensureModel((progress) => {\n                // Log progress every 5% (only when crossing the threshold)\n                const currentMilestone = Math.floor(progress.percent / 5) * 5;\n                if (currentMilestone > lastLoggedPercent && currentMilestone % 5 === 0) {\n                    console.error(`   📦 Download progress: ${currentMilestone}% (${(progress.downloaded / 1024 / 1024).toFixed(0)}MB / ${(progress.total / 1024 / 1024).toFixed(0)}MB)`);\n                    lastLoggedPercent = currentMilestone;\n                }\n            });\n            console.error(`   ✅ Model downloaded successfully!`);\n        } catch (error) {\n            console.error(`   ⚠️  Model download failed: ${error}`);\n            console.error(`   ℹ️  LLM tools (get_zig_docs, suggest_fix) will not be available`);\n            console.error(`   ℹ️  Deterministic tools (analyze_zig, compile_zig) will still work`);\n        }\n    }\n\n    const server = createServer();\n    const transport = new StdioServerTransport();\n\n    await server.connect(transport);\n\n    console.error('✅ ZigNet MCP Server running on stdio');\n    console.error('📡 Available tools: analyze_zig, compile_zig, get_zig_docs, suggest_fix');\n} main().catch((error) => {\n    console.error('Fatal error:', error);\n    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