/**
 * Manual Tools Registry
 *
 * This file contains tools that should be included in TPMJS but don't follow
 * the standard tpmjs field specification in their package.json.
 *
 * These tools are manually curated and synced to the database via the
 * manual sync script.
 */

export interface ManualTool {
  // Package metadata
  npmPackageName: string;
  npmVersion?: string; // Optional - will fetch latest if not specified
  category:
    | 'text-analysis'
    | 'code-generation'
    | 'data-processing'
    | 'image-generation'
    | 'audio-processing'
    | 'search'
    | 'integration'
    | 'other';
  frameworks: Array<'vercel-ai' | 'langchain' | 'llamaindex' | 'other'>;

  // Tool definition
  name: string;
  description: string;

  // Optional rich metadata
  parameters?: Array<{
    name: string;
    type: string;
    description: string;
    required: boolean;
    default?: string;
  }>;

  returns?: {
    type: string;
    description: string;
  };

  aiAgent?: {
    useCase: string;
    limitations?: string;
    examples?: string[];
  };

  // Environment variables
  env?: Array<{
    name: string;
    description: string;
    required: boolean;
  }>;

  // Additional metadata not in npm
  tags?: string[];
  docsUrl?: string;
  apiKeyUrl?: string;
  websiteUrl?: string;
}

export const manualTools: ManualTool[] = [
  {
    npmPackageName: 'ai-sdk-tool-code-execution',
    category: 'code-generation',
    frameworks: ['vercel-ai'],
    name: 'executeCode',
    description:
      'Execute Python code in a sandboxed environment using Vercel Sandbox. Run calculations, data processing, and other computational tasks safely in an isolated environment with Python 3.13.',
    tags: ['code-execution', 'sandbox'],
    env: [
      {
        name: 'VERCEL_OIDC_TOKEN',
        description: 'Vercel OIDC token for sandbox authentication',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'code',
        type: 'string',
        description: 'Python code to execute in the sandbox',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Execution result with stdout, stderr, and return value',
    },
    aiAgent: {
      useCase:
        'Use when you need to perform calculations, data processing, or execute Python code safely',
      limitations: 'Python 3.13 only. No network access. 30 second execution timeout.',
      examples: [
        'Perform complex mathematical calculations',
        'Process data with pandas/numpy',
        'Generate plots with matplotlib',
      ],
    },
    docsUrl: 'https://vercel.com/docs/vercel-sandbox',
    apiKeyUrl: 'https://vercel.com/docs/vercel-sandbox#authentication',
    websiteUrl: 'https://vercel.com/docs/vercel-sandbox',
  },
  {
    npmPackageName: '@exalabs/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'webSearch',
    description:
      "Search the web for current information using Exa's AI-powered search API. Returns high-quality, relevant results optimized for LLM consumption.",
    tags: ['search', 'web', 'extraction'],
    env: [
      {
        name: 'EXA_API_KEY',
        description: 'API key for Exa search service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'query',
        type: 'string',
        description: 'Search query',
        required: true,
      },
      {
        name: 'numResults',
        type: 'number',
        description: 'Number of results to return (1-10)',
        required: false,
        default: '5',
      },
    ],
    returns: {
      type: 'array',
      description: 'Array of search results with title, URL, and content',
    },
    aiAgent: {
      useCase: 'Use when you need current information, news, research papers, or web content',
      limitations: 'Requires API key. Rate limits apply based on plan.',
      examples: [
        'Find latest AI developments',
        'Search for technical documentation',
        'Research current events',
      ],
    },
    docsUrl: 'https://docs.exa.ai/reference/vercel',
    apiKeyUrl: 'https://dashboard.exa.ai/api-keys',
    websiteUrl: 'https://exa.ai',
  },
  {
    npmPackageName: '@parallel-web/ai-sdk-tools',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'searchTool',
    description:
      'Search and extract context from the web with token-optimized results. Parallel compresses web results for optimal inference efficiency.',
    tags: ['search', 'web', 'extraction'],
    env: [
      {
        name: 'PARALLEL_API_KEY',
        description: 'API key for Parallel search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use when you need web search with minimal token usage',
      examples: ['Search for current information', 'Extract structured data from websites'],
    },
    apiKeyUrl: 'https://platform.parallel.ai',
    websiteUrl: 'https://parallel.ai',
  },
  {
    npmPackageName: '@parallel-web/ai-sdk-tools',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'extractTool',
    description: 'Extract structured content from web pages with token-optimized compression.',
    tags: ['extraction', 'web'],
    env: [
      {
        name: 'PARALLEL_API_KEY',
        description: 'API key for Parallel search service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'url',
        type: 'string',
        description: 'URL of the page to extract content from',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Extracted and compressed page content',
    },
    aiAgent: {
      useCase: 'Use to extract clean content from specific URLs',
      examples: ['Extract article content', 'Parse documentation pages'],
    },
    websiteUrl: 'https://parallel.ai',
  },
  {
    npmPackageName: 'ctx-zip',
    category: 'code-generation',
    frameworks: ['vercel-ai'],
    name: 'createVercelSandboxCodeMode',
    description:
      'Transform MCP tools and AI SDK tools into code, write to Vercel sandbox filesystem, and execute in isolated environment.',
    tags: ['code-execution', 'sandbox', 'mcp', 'code-mode'],
    env: [
      {
        name: 'VERCEL_OIDC_TOKEN',
        description: 'Vercel OIDC token for sandbox authentication',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use when you need to combine MCP tools with code execution in a sandbox',
      limitations: 'Requires Vercel Sandbox access',
      examples: ['Execute code using MCP server tools', 'Combine multiple tool sources'],
    },
    docsUrl: 'https://github.com/karthikscale3/ctx-zip/blob/main/README.md',
    apiKeyUrl: 'https://vercel.com/docs/vercel-sandbox#authentication',
    websiteUrl: 'https://github.com/karthikscale3/ctx-zip',
  },
  {
    npmPackageName: '@perplexity-ai/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'perplexitySearch',
    description:
      'Search the web with real-time results and advanced filtering powered by Perplexity Search API. Supports ranked results with domain, language, date range, and recency filters.',
    tags: ['search', 'web'],
    env: [
      {
        name: 'PERPLEXITY_API_KEY',
        description: 'API key for Perplexity search service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'query',
        type: 'string',
        description: 'Search query',
        required: true,
      },
      {
        name: 'filters',
        type: 'object',
        description: 'Optional filters for domain, language, date range, etc.',
        required: false,
      },
    ],
    returns: {
      type: 'array',
      description: 'Ranked search results with metadata',
    },
    aiAgent: {
      useCase: 'Use for comprehensive web search with filtering capabilities',
      examples: [
        'Find latest AI developments',
        'Search with date range filters',
        'Domain-specific searches',
      ],
    },
    docsUrl: 'https://docs.perplexity.ai/guides/search-quickstart',
    apiKeyUrl: 'https://www.perplexity.ai/account/api/keys',
    websiteUrl: 'https://www.perplexity.ai',
  },
  {
    npmPackageName: '@tavily/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'tavilySearch',
    description:
      'Real-time web search optimized for AI applications. Provides comprehensive web research including search, content extraction, website crawling, and site mapping.',
    tags: ['search', 'extract', 'crawl'],
    env: [
      {
        name: 'TAVILY_API_KEY',
        description: 'API key for Tavily search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use for comprehensive web research and content extraction',
      examples: [
        'Research complex topics',
        'Extract structured information',
        'Crawl entire websites',
      ],
    },
    docsUrl: 'https://docs.tavily.com/documentation/integrations/vercel',
    apiKeyUrl: 'https://app.tavily.com/home',
    websiteUrl: 'https://tavily.com',
  },
  {
    npmPackageName: 'firecrawl-aisdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'scrapeTool',
    description:
      'Scrape any website into clean markdown format. Convert web pages to LLM-friendly markdown with automatic cleaning and formatting.',
    tags: ['scraping', 'web', 'extraction'],
    env: [
      {
        name: 'FIRECRAWL_API_KEY',
        description: 'API key for Firecrawl service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'url',
        type: 'string',
        description: 'URL of the website to scrape',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Scraped content in clean markdown format',
    },
    aiAgent: {
      useCase: 'Use when you need to convert web pages to clean, structured markdown',
      examples: [
        'Scrape documentation pages',
        'Extract article content',
        'Convert web pages to markdown',
      ],
    },
    docsUrl: 'https://docs.firecrawl.dev/integrations/ai-sdk',
    apiKeyUrl: 'https://firecrawl.dev/app/api-keys',
    websiteUrl: 'https://firecrawl.dev',
  },
  {
    npmPackageName: 'firecrawl-aisdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'searchTool',
    description:
      'Search the web and get results in clean markdown format optimized for AI consumption.',
    tags: ['search', 'web'],
    env: [
      {
        name: 'FIRECRAWL_API_KEY',
        description: 'API key for Firecrawl service',
        required: true,
      },
    ],
    websiteUrl: 'https://firecrawl.dev',
  },
  {
    npmPackageName: 'firecrawl-aisdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'crawlTool',
    description:
      'Crawl entire websites and extract structured data. Automatically discover and process multiple pages.',
    tags: ['crawling', 'web', 'extraction'],
    env: [
      {
        name: 'FIRECRAWL_API_KEY',
        description: 'API key for Firecrawl service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'url',
        type: 'string',
        description: 'Starting URL to begin crawling',
        required: true,
      },
      {
        name: 'maxPages',
        type: 'number',
        description: 'Maximum number of pages to crawl',
        required: false,
        default: '10',
      },
    ],
    aiAgent: {
      useCase: 'Use when you need to crawl and extract data from entire websites',
      examples: [
        'Crawl documentation sites',
        'Extract all articles from a blog',
        'Build knowledge base from website',
      ],
    },
    websiteUrl: 'https://firecrawl.dev',
  },
  {
    npmPackageName: 'bedrock-agentcore',
    category: 'code-generation',
    frameworks: ['vercel-ai'],
    name: 'CodeInterpreterTools',
    description:
      'Isolated sandbox for executing Python, JavaScript, and TypeScript code to solve complex tasks. Fully managed by Amazon Bedrock.',
    tags: ['code-execution', 'sandbox'],
    env: [
      {
        name: 'AWS_ROLE_ARN',
        description: 'AWS IAM role ARN for Bedrock access',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use for secure code execution in AWS-managed sandbox',
      limitations: 'Requires AWS credentials and Bedrock access',
      examples: [
        'Execute Python data analysis',
        'Run JavaScript computations',
        'TypeScript code execution',
      ],
    },
    docsUrl: 'https://github.com/aws/bedrock-agentcore-sdk-typescript',
    apiKeyUrl: 'https://vercel.com/docs/oidc/aws',
    websiteUrl: 'https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/built-in-tools.html',
  },
  {
    npmPackageName: 'bedrock-agentcore',
    category: 'integration',
    frameworks: ['vercel-ai'],
    name: 'BrowserTools',
    description:
      'Fast and secure cloud-based browser runtime for web automation. Fill forms, navigate websites, and extract information in managed environment.',
    tags: ['browser-automation', 'web'],
    env: [
      {
        name: 'AWS_ROLE_ARN',
        description: 'AWS IAM role ARN for Bedrock access',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use for browser automation and web interaction tasks',
      examples: ['Fill web forms', 'Navigate websites', 'Extract dynamic content'],
    },
    websiteUrl: 'https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/built-in-tools.html',
  },
  {
    npmPackageName: '@superagent-ai/ai-sdk',
    category: 'other',
    frameworks: ['vercel-ai'],
    name: 'guard',
    description:
      'Protect AI apps from prompt injection and security threats. Detect and block malicious inputs before they reach your LLM.',
    tags: ['security', 'guardrails', 'prompt-injection'],
    env: [
      {
        name: 'SUPERAGENT_API_KEY',
        description: 'API key for Superagent security service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'input',
        type: 'string',
        description: 'User input to check for security threats',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Security analysis with threat detection results',
    },
    aiAgent: {
      useCase: 'Use to validate user inputs for security threats before processing',
      examples: [
        'Detect prompt injection attempts',
        'Block malicious inputs',
        'Security validation',
      ],
    },
    docsUrl: 'https://docs.superagent.sh',
    apiKeyUrl: 'https://dashboard.superagent.sh',
    websiteUrl: 'https://superagent.sh',
  },
  {
    npmPackageName: '@superagent-ai/ai-sdk',
    category: 'other',
    frameworks: ['vercel-ai'],
    name: 'redact',
    description:
      'Redact PII/PHI from text including SSNs, emails, phone numbers, and other sensitive information.',
    tags: ['security', 'pii', 'redaction'],
    env: [
      {
        name: 'SUPERAGENT_API_KEY',
        description: 'API key for Superagent security service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'text',
        type: 'string',
        description: 'Text containing potentially sensitive information',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Redacted text with PII/PHI removed or masked',
    },
    aiAgent: {
      useCase: 'Use to remove sensitive information from text before processing',
      examples: ['Redact SSNs from documents', 'Remove email addresses', 'Mask phone numbers'],
    },
    websiteUrl: 'https://superagent.sh',
  },
  {
    npmPackageName: '@superagent-ai/ai-sdk',
    category: 'other',
    frameworks: ['vercel-ai'],
    name: 'verify',
    description:
      'Verify AI-generated claims against source materials. Fact-check and validate LLM outputs for accuracy.',
    tags: ['verification', 'fact-checking'],
    env: [
      {
        name: 'SUPERAGENT_API_KEY',
        description: 'API key for Superagent security service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'claim',
        type: 'string',
        description: 'Claim to verify',
        required: true,
      },
      {
        name: 'sources',
        type: 'array',
        description: 'Source materials to verify against',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Verification result with confidence score',
    },
    aiAgent: {
      useCase: 'Use to fact-check LLM outputs against trusted sources',
      examples: ['Verify factual claims', 'Check citations', 'Validate information accuracy'],
    },
    websiteUrl: 'https://superagent.sh',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'webSearch',
    description: 'Real-time web search for current information and news.',
    tags: ['search', 'web'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use for general web search and current information',
      examples: ['Find latest news', 'Search for current events'],
    },
    docsUrl: 'https://docs.valyu.ai/integrations/vercel-ai-sdk',
    apiKeyUrl: 'https://platform.valyu.ai',
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'financeSearch',
    description:
      'Search financial data including stock prices, earnings, income statements, cash flows, and market data.',
    tags: ['search', 'finance', 'domain-search'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use for financial data and market research',
      examples: ['Get stock prices', 'Find earnings reports', 'Search financial statements'],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'paperSearch',
    description: 'Full-text search across PubMed, arXiv, bioRxiv, and medRxiv research papers.',
    tags: ['search', 'research', 'domain-search'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use to search academic and research papers',
      examples: ['Find medical research', 'Search arXiv papers', 'Look up scientific publications'],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'bioSearch',
    description:
      'Search biomedical information including clinical trials, FDA drug labels, PubMed, medRxiv, and bioRxiv.',
    tags: ['search', 'biomedical', 'domain-search'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use for biomedical and clinical research',
      examples: ['Search clinical trials', 'Find FDA drug information', 'Research medical studies'],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'patentSearch',
    description: 'Search USPTO patent database for patents and patent applications.',
    tags: ['search', 'patents', 'domain-search'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use to search and research patents',
      examples: ['Find existing patents', 'Research patent applications', 'Prior art search'],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'secSearch',
    description: 'Search SEC filings including 10-K, 10-Q, and 8-K reports.',
    tags: ['search', 'sec', 'domain-search'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use to search SEC filings and corporate reports',
      examples: [
        'Find 10-K annual reports',
        'Search quarterly filings',
        'Research corporate disclosures',
      ],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'economicsSearch',
    description: 'Search economic data from BLS, FRED, and World Bank databases.',
    tags: ['search', 'economics', 'domain-search'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    aiAgent: {
      useCase: 'Use to search economic indicators and statistics',
      examples: ['Find employment data', 'Search GDP statistics', 'Research economic indicators'],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@valyu/ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'companyResearch',
    description:
      'Generate comprehensive company research reports with financial data, news, and analysis.',
    tags: ['search', 'research', 'company-analysis'],
    env: [
      {
        name: 'VALYU_API_KEY',
        description: 'API key for Valyu search service',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'company',
        type: 'string',
        description: 'Company name or ticker symbol',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'Comprehensive research report with financial and market data',
    },
    aiAgent: {
      useCase: 'Use to generate detailed company research and analysis',
      examples: ['Company financial analysis', 'Competitive research', 'Market position analysis'],
    },
    websiteUrl: 'https://valyu.ai',
  },
  {
    npmPackageName: '@tpmjs/search-registry',
    category: 'integration',
    frameworks: ['vercel-ai'],
    name: 'searchTpmjsToolsTool',
    description:
      'Search the TPMJS tool registry to find AI SDK tools by keyword, category, or description. Returns tool metadata for dynamic loading.',
    parameters: [
      {
        name: 'query',
        type: 'string',
        description: 'Search query (keywords, tool names, descriptions)',
        required: true,
      },
      {
        name: 'category',
        type: 'string',
        description: 'Filter by category (optional)',
        required: false,
      },
      {
        name: 'limit',
        type: 'number',
        description: 'Maximum results (1-20, default 10)',
        required: false,
      },
    ],
    returns: {
      type: 'object',
      description:
        'Search results with tool metadata including packageName, name, version, importUrl',
    },
    aiAgent: {
      useCase:
        "Use when you need a tool that isn't currently available. Search for tools by keyword or domain.",
      examples: [
        'Search for "weather" when asked about weather',
        'Search for "wikipedia" when asked to search Wikipedia',
        'Search for "database" when working with SQL',
      ],
    },
    tags: ['search', 'tool-discovery', 'registry'],
    websiteUrl: 'https://tpmjs.com',
    docsUrl: 'https://tpmjs.com/spec',
  },
  {
    npmPackageName: '@airweave/vercel-ai-sdk',
    category: 'search',
    frameworks: ['vercel-ai'],
    name: 'airweaveSearch',
    description: 'Provides unified search across all connected data sources using semantic search.',
    tags: ['search', 'rag', 'data-sources', 'semantic-search'],
    env: [
      {
        name: 'AIRWEAVE_API_KEY',
        description: 'API key for authenticating with Airweave services.',
        required: true,
      },
    ],
    parameters: [
      {
        name: 'defaultCollection',
        type: 'string',
        description: 'The default collection to search within.',
        required: true,
      },
    ],
    returns: {
      type: 'object',
      description: 'The search results from the specified data sources.',
    },
    aiAgent: {
      useCase: 'Use this tool to perform semantic searches across multiple data sources.',
      examples: ['Search for key decisions from last week in the knowledge base.'],
    },
    docsUrl: 'https://docs.airweave.ai',
    apiKeyUrl: 'https://app.airweave.ai/settings/api-keys',
    websiteUrl: 'https://airweave.ai',
  },
];