feat: fully implement 5 research tools with production-ready functionality
Research tools now have complete implementations: - **page-brief**: Uses @mozilla/readability + jsdom for content extraction, sbd for sentence parsing, comprehensive error handling with timeout and network error detection - **compare-pages**: Uses natural library TF-IDF for text similarity, detects agreements via high-similarity sentences, identifies conflicts using negation pattern analysis - **source-credibility**: Uses tldts for domain parsing, cheerio for HTML analysis, calculates 6 credibility signals (HTTPS, domain reputation, author, date, citations, contact info), weighted scoring system - **claim-checklist**: Uses sbd for sentence boundary detection, regex patterns for claim identification (statistics, quotes, historical, scientific, factual), priority levels and evidence suggestions - **timeline-from-text**: Uses chrono-node for date parsing, sbd for context extraction, calculates confidence scores, identifies gaps >30 days All tools follow AI SDK v6 pattern (tool() + jsonSchema()), include proper TypeScript types, input validation, comprehensive error handling, and Node.js 18+ fetch requirement verification. Updated blocks.yml with comprehensive philosophy and domain rules for quality validation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Ajax Davis
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@ -1,132 +1,369 @@
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name: "tpmjs-official-tools"
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root: "."
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# =============================================================================
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# PHILOSOPHY - Core principles that guide all tool development
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# =============================================================================
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philosophy:
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- "Tools must be pure functions with no side effects"
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- "Each tool solves one specific problem well"
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- "Tools are publishable to npm as @tpmjs/* packages"
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- "Use AI SDK v6 tool() + jsonSchema() pattern"
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- "Every tool MUST be a working, production-ready implementation - no stubs, no TODOs"
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- "Tools use AI SDK v6 tool() + jsonSchema() pattern exclusively"
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- "Each tool does ONE thing exceptionally well"
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- "Tools return structured, typed outputs that agents can reliably parse"
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- "Error handling is explicit - throw meaningful errors, never silently fail"
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- "All async operations use proper error boundaries"
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- "Dependencies are minimal and production-stable (no alpha/beta packages)"
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# =============================================================================
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# DOMAIN - Entities, signals, and measures that define the problem space
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# =============================================================================
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domain:
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entities:
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# Core web entities
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url:
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fields: [href, domain, protocol, path]
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text:
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fields: [content, sentences, wordCount]
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fields: [href, domain, protocol, path, query]
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description: "A fully qualified URL with parsed components"
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webpage:
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fields: [url, title, html, text, metadata]
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description: "A fetched webpage with extracted content"
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# Content entities
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text_content:
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fields: [raw, sentences, paragraphs, wordCount]
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description: "Processed text with structural analysis"
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claim:
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fields: [statement, needsCitation, evidence]
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fields: [statement, confidence, needsCitation, category]
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description: "A factual assertion that can be verified"
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categories: [factual, statistical, quote, attribution, prediction]
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timeline_event:
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fields: [date, description, confidence]
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fields: [date, description, confidence, source]
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description: "A dated event with provenance"
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# Output entities
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blog_post:
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fields: [frontmatter, content, formattedOutput]
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description: "A complete blog post with metadata"
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page_brief:
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fields: [url, title, summary, keyPoints, claims]
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description: "A summarized view of a webpage"
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comparison_result:
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fields: [agreements, conflicts, uniqueToA, uniqueToB]
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description: "Side-by-side analysis of two sources"
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credibility_score:
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fields: [score, factors, warnings, recommendations]
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description: "Trust assessment of a source"
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claim_checklist:
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fields: [claims, citedCount, uncitedCount, priority]
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description: "Extracted claims with citation status"
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timeline:
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fields: [events, dateRange, gaps, confidence]
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description: "Chronological event sequence"
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signals:
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credibility:
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description: "Trustworthiness of a source"
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extraction_hint: "Look for author, date, citations, HTTPS"
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readability:
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description: "How easy content is to understand"
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extraction_hint: "Check sentence length, jargon, structure"
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description: "Trustworthiness indicators for a source"
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extraction_hints:
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- "HTTPS vs HTTP"
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- "Domain reputation (.edu, .gov, major news)"
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- "Author byline and bio present"
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- "Publication date visible"
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- "Citations and references"
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- "Contact information available"
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readability:
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description: "How accessible the content is"
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extraction_hints:
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- "Sentence length and complexity"
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- "Technical jargon density"
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- "Clear paragraph structure"
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- "Heading hierarchy"
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claim_strength:
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description: "How verifiable a statement is"
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extraction_hints:
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- "Contains specific numbers or dates"
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- "Attributes to named source"
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- "Makes testable prediction"
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- "Uses hedging language (may, might, could)"
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# Quality measures that outputs must satisfy
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measures:
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valid_output:
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working_implementation:
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constraints:
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- "Must return structured object matching interface"
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- "Must not throw unhandled errors"
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- "execute() function contains real logic, not placeholder comments"
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- "No TODO, FIXME, or 'Not implemented' in output"
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- "Returns actual computed values, not hardcoded test data"
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severity: error
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valid_output_structure:
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constraints:
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- "Returns object matching declared interface"
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- "All required fields are present and typed correctly"
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- "Arrays are never undefined, use empty array []"
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severity: error
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proper_error_handling:
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constraints:
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- "Throws descriptive Error with context on failure"
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- "Validates inputs before processing"
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- "Catches and wraps external API errors"
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severity: error
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ai_sdk_compliance:
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constraints:
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- "Uses tool() from 'ai' package"
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- "Uses jsonSchema() for input schema (not Zod directly)"
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- "Description is clear and actionable for LLMs"
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- "Input schema has descriptions for each property"
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severity: error
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npm_publishable:
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constraints:
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- "Must have valid package.json with tpmjs field"
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- "Must export tool as named and default export"
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- "Has valid package.json with tpmjs field"
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- "Exports tool as both named and default export"
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- "Has proper TypeScript types exported"
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- "Version follows semver"
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severity: error
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# =============================================================================
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# DOMAIN RULES - Enforce code quality across all blocks
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# =============================================================================
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blocks:
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domain_rules:
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- id: pure_function
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description: "Tool must be deterministic with no side effects"
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- id: ai_sdk_pattern
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description: "Must use AI SDK v6 tool() + jsonSchema()"
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- id: npm_ready
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description: "Must be publishable to npm with complete metadata"
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- id: no_stub_implementations
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description: |
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CRITICAL: Tools must be fully implemented with real functionality.
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- No TODO comments in execute()
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- No placeholder returns like "Not implemented"
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- No hardcoded test data as output
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- The tool must actually perform the described operation
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- id: ai_sdk_v6_pattern
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description: |
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All tools MUST use the AI SDK v6 pattern:
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- import { tool, jsonSchema } from 'ai'
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- Use tool() wrapper with description and inputSchema
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- Use jsonSchema<T>() for type-safe input schema
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- Include 'additionalProperties: false' in JSON schema
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- Make execute() async and properly typed
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- id: proper_json_schema
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description: |
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Input schemas must be complete and LLM-friendly:
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- Every property needs a 'description' field
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- Use 'required' array to specify mandatory fields
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- Include 'additionalProperties: false'
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- Use correct JSON Schema types (string, number, boolean, array, object)
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- For enums, use 'enum' with array of allowed values
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- id: structured_outputs
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description: |
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Tools must return well-structured, typed objects:
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- Define TypeScript interface for output type
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- Export interface so consumers can use it
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- All fields should have meaningful names
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- Use arrays for collections, never undefined
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- Include metadata fields where helpful (timestamp, source, confidence)
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- id: input_validation
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description: |
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Validate inputs at the start of execute():
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- Check required fields are present and non-empty
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- Validate URLs are well-formed when accepting URLs
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- Throw descriptive errors for invalid input
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- Don't silently accept bad data
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- id: async_error_handling
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description: |
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Handle async operations properly:
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- Wrap fetch/network calls in try-catch
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- Provide meaningful error messages with context
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- Don't let errors silently fail to empty output
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- Include original error in wrapped errors
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# ===========================================================================
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# BLOCK DEFINITIONS - Each tool with its full specification
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# ===========================================================================
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adapter.createBlogPost:
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description: "Creates structured blog posts with frontmatter and metadata"
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description: "Creates structured blog posts with frontmatter, metadata, slug generation, word count, and reading time estimation"
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path: "createBlogPost"
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inputs:
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- name: title
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type: string
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description: "The blog post title"
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- name: author
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type: string
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description: "Author name for attribution"
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- name: content
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type: string
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description: "Main body content in markdown"
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- name: tags
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type: string[]
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optional: true
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description: "Categorization tags"
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- name: format
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type: "'markdown' | 'mdx'"
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optional: true
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description: "Output format preference"
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- name: excerpt
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type: string
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optional: true
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description: "Short summary for previews"
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outputs:
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- name: blogPost
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type: BlogPost
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measures: [valid_output, npm_publishable]
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description: "Complete blog post with frontmatter and formatted content"
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measures:
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- working_implementation
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- valid_output_structure
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- ai_sdk_compliance
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- npm_publishable
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research.pageBrief:
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description: "Fetch URL, extract main content, return summary with key points and claims needing citations"
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description: "Fetches a URL, extracts main content using Readability algorithm, and returns a structured brief with summary, key points, and claims that need citations"
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path: "page-brief"
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domain_rules:
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- id: url_fetching
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description: "Must actually fetch the URL using fetch() API"
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- id: content_extraction
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description: "Must use @mozilla/readability for content extraction"
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- id: sentence_parsing
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description: "Must parse text into sentences for claim extraction"
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inputs:
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- name: url
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type: string
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description: "The URL to fetch and analyze"
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outputs:
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- name: brief
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type: PageBrief
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measures: [valid_output]
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description: "Structured summary with key points and claims needing citation"
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measures:
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- working_implementation
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- valid_output_structure
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- proper_error_handling
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- ai_sdk_compliance
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research.comparePages:
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description: "Compare two URLs for agreements, conflicts, and unique points"
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description: "Compares content from two URLs, identifying agreements, conflicts, and unique points from each source"
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path: "compare-pages"
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domain_rules:
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- id: dual_fetch
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description: "Must fetch both URLs and handle failures gracefully"
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- id: content_comparison
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description: "Must perform actual text comparison, not placeholder"
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- id: structured_diff
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description: "Must categorize differences into agreements/conflicts/unique"
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inputs:
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- name: urlA
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type: string
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description: "First URL to compare"
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- name: urlB
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type: string
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description: "Second URL to compare"
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outputs:
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- name: comparison
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type: PageComparison
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measures: [valid_output]
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description: "Structured comparison showing agreements, conflicts, and unique content"
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measures:
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- working_implementation
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- valid_output_structure
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- proper_error_handling
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research.sourceCredibility:
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description: "Heuristic credibility score based on domain signals, author presence, citations"
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description: "Analyzes a URL for credibility signals using heuristics like HTTPS, domain reputation, author presence, publication date, and citation density"
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path: "source-credibility"
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domain_rules:
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- id: credibility_heuristics
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description: |
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Must check real credibility signals:
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- HTTPS vs HTTP protocol
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- Domain TLD (.edu, .gov, .org vs others)
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- Author byline presence
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- Publication date presence
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- External citations/references
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- id: score_calculation
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description: "Score must be computed from actual signals, not random/hardcoded"
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inputs:
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- name: url
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type: string
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description: "The URL to analyze for credibility"
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- name: html
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type: string
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optional: true
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description: "Pre-fetched HTML content (if available)"
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outputs:
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- name: credibility
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type: CredibilityScore
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measures: [valid_output]
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description: "Credibility assessment with score, factors, and recommendations"
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measures:
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- working_implementation
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- valid_output_structure
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- proper_error_handling
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research.claimChecklist:
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description: "Extract checkable factual claims from text, mark what needs citations"
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description: "Extracts factual claims from text and identifies which ones need citations, categorizing by type and priority"
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path: "claim-checklist"
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domain_rules:
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- id: claim_extraction
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description: |
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Must identify claims using real heuristics:
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- Statements with numbers/statistics
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- Quotes attributed to people
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- Statements about events/facts
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- Predictions or projections
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- id: citation_detection
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description: "Must check if claims are supported by inline citations"
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inputs:
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- name: text
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type: string
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description: "The text to analyze for claims"
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outputs:
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- name: checklist
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type: ClaimChecklist
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measures: [valid_output]
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description: "List of claims with citation status and priority ranking"
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measures:
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- working_implementation
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- valid_output_structure
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research.timelineFromText:
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description: "Extract dated events from text, return normalized timeline with confidence"
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description: "Extracts dated events from unstructured text and returns a normalized, chronologically sorted timeline with confidence scores"
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path: "timeline-from-text"
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domain_rules:
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- id: date_extraction
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description: |
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Must parse dates in multiple formats:
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- Full dates (January 1, 2024)
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- Partial dates (March 2024, Q1 2024)
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- Relative dates (last year, in 2020)
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- Ranges (2020-2024)
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- id: event_association
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description: "Must associate extracted dates with their context/events"
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- id: chronological_sorting
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description: "Output events must be sorted chronologically"
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inputs:
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- name: text
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type: string
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description: "The text to extract timeline from"
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outputs:
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- name: timeline
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type: Timeline
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measures: [valid_output]
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description: "Chronologically sorted events with dates and confidence scores"
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measures:
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- working_implementation
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- valid_output_structure
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# =============================================================================
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# VALIDATORS - Which validators to run against each block
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# =============================================================================
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validators:
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- schema
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- shape.ts
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- domain
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- schema # Validates inputs/outputs are defined correctly
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- shape.ts # Validates TypeScript exports match expected shape
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- domain # AI-powered semantic validation against domain rules
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# @tpmjs/tools-claim-checklist
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## 0.2.1
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### Patch Changes
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- Fully implement claim-checklist tool with production-ready functionality:
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- Uses sbd for sentence boundary detection
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- Identifies claims using regex patterns for statistics, quotes, historical, scientific, and factual claims
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- Categorizes evidence types: statistic, fact, quote, historical, scientific, common-knowledge
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- Assigns priority levels (high/medium/low) based on claim type
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- Generates reasons and suggested evidence for each claim
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- Returns summary statistics and metadata
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- Proper input validation and error handling
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## 0.2.0
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### Minor Changes
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- aaf3cdd: Add 5 new research tools for AI-powered content analysis
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New tools using AI SDK v6 beta (tool() + jsonSchema() pattern):
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New tools using AI SDK v6 (tool() + jsonSchema() pattern):
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- **@tpmjs/tools-page-brief**: Fetch URL and extract summary with key points and claims needing citations
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- **@tpmjs/tools-compare-pages**: Compare two URLs for agreements, conflicts, and unique points
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@ -14,6 +27,4 @@
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- **@tpmjs/tools-claim-checklist**: Extract checkable factual claims from text
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- **@tpmjs/tools-timeline-from-text**: Extract dated events and return normalized timeline
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All tools are stub implementations ready for full logic implementation.
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Also moved @tpmjs/createblogpost to packages/tools/official/ directory and set up blocks.yml for Blocks framework validation.
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},
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"devDependencies": {
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"@tpmjs/tsconfig": "workspace:*",
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"@types/sbd": "^1.0.5",
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"tsup": "^8.3.5",
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"typescript": "^5.9.3"
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},
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import { jsonSchema, tool } from 'ai';
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/**
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* Claim Checklist Tool for TPMJS
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* Extracts factual claims from text and identifies which ones need citations.
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*/
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import { jsonSchema, tool } from 'ai';
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import sbd from 'sbd';
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/**
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* Type of evidence needed for a claim
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*/
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export type EvidenceType =
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| 'statistic'
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| 'fact'
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| 'quote'
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| 'historical'
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| 'scientific'
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| 'common-knowledge';
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/**
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* Priority level for getting citation
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*/
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export type Priority = 'high' | 'medium' | 'low';
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/**
|
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* Individual claim with analysis
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*/
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export interface Claim {
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claim: string;
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needsCitation: boolean;
|
||||
evidenceType: EvidenceType;
|
||||
priority: Priority;
|
||||
reason: string;
|
||||
suggestedEvidence: string;
|
||||
sentenceIndex: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Output interface for claim checklist
|
||||
*/
|
||||
export interface ClaimChecklist {
|
||||
originalText: string;
|
||||
claims: Array<{
|
||||
claim: string;
|
||||
needsCitation: boolean;
|
||||
evidenceType: 'statistic' | 'fact' | 'quote' | 'opinion' | 'common-knowledge';
|
||||
suggestedEvidence: string;
|
||||
sentenceIndex: number;
|
||||
}>;
|
||||
claims: Claim[];
|
||||
summary: {
|
||||
totalSentences: number;
|
||||
totalClaims: number;
|
||||
needingCitation: number;
|
||||
verified: number;
|
||||
byPriority: {
|
||||
high: number;
|
||||
medium: number;
|
||||
low: number;
|
||||
};
|
||||
byType: Record<EvidenceType, number>;
|
||||
};
|
||||
metadata: {
|
||||
analyzedAt: string;
|
||||
wordCount: number;
|
||||
};
|
||||
}
|
||||
|
||||
|
|
@ -20,9 +62,198 @@ type ClaimChecklistInput = {
|
|||
text: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Patterns for detecting different claim types
|
||||
*/
|
||||
const CLAIM_PATTERNS = {
|
||||
statistic: [
|
||||
/\d+(\.\d+)?%/,
|
||||
/\d+\s*(million|billion|thousand|trillion)/i,
|
||||
/\b(doubled|tripled|quadrupled|halved)\b/i,
|
||||
/\b(majority|minority)\s+(of|in)/i,
|
||||
/\b(most|many|few|some|all|none)\s+\w+\s+(are|is|have|has)/i,
|
||||
/\b(increased|decreased|grew|shrunk|rose|fell)\s+by/i,
|
||||
/\b(average|median|mean)\b/i,
|
||||
],
|
||||
quote: [
|
||||
/"[^"]{10,}"/,
|
||||
/'[^']{10,}'/,
|
||||
/according to\s+[A-Z]/i,
|
||||
/\bsaid\s+that\b/i,
|
||||
/\bstated\s+that\b/i,
|
||||
/\bclaimed\s+that\b/i,
|
||||
],
|
||||
historical: [
|
||||
/\b(in|since|during|after|before)\s+(19|20)\d{2}\b/i,
|
||||
/\b(founded|established|created|invented|discovered)\s+in/i,
|
||||
/\b(first|last|oldest|newest|earliest|latest)\b/i,
|
||||
/\bhistorically\b/i,
|
||||
],
|
||||
scientific: [
|
||||
/\b(study|research|experiment|trial|analysis)\s+(shows?|found|reveals?|demonstrates?)/i,
|
||||
/\b(scientists?|researchers?|experts?)\s+(say|believe|found|discovered)/i,
|
||||
/\b(proven|evidence|data)\s+(shows?|suggests?|indicates?)/i,
|
||||
/\bcauses?\b.*\b(disease|condition|effect)/i,
|
||||
],
|
||||
fact: [
|
||||
/\bis\s+(the\s+)?(largest|smallest|fastest|slowest|highest|lowest|best|worst)/i,
|
||||
/\b(always|never|every|all|none)\b/i,
|
||||
/\b(must|will|cannot|impossible)\b/i,
|
||||
/\b(only|unique|first|sole)\b/i,
|
||||
],
|
||||
};
|
||||
|
||||
/**
|
||||
* Common knowledge patterns (usually don't need citation)
|
||||
*/
|
||||
const COMMON_KNOWLEDGE_PATTERNS = [
|
||||
/\bthe\s+sun\s+/i,
|
||||
/\bwater\s+(is|freezes|boils)\b/i,
|
||||
/\bEarth\s+(is|has|orbits)\b/i,
|
||||
/\b(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)\b/i,
|
||||
/\b(January|February|March|April|May|June|July|August|September|October|November|December)\b/i,
|
||||
];
|
||||
|
||||
/**
|
||||
* Determine evidence type for a sentence
|
||||
*/
|
||||
function determineEvidenceType(sentence: string): EvidenceType {
|
||||
// Check for common knowledge first
|
||||
if (COMMON_KNOWLEDGE_PATTERNS.some((p) => p.test(sentence))) {
|
||||
return 'common-knowledge';
|
||||
}
|
||||
|
||||
// Check each claim type
|
||||
if (CLAIM_PATTERNS.statistic.some((p) => p.test(sentence))) {
|
||||
return 'statistic';
|
||||
}
|
||||
if (CLAIM_PATTERNS.quote.some((p) => p.test(sentence))) {
|
||||
return 'quote';
|
||||
}
|
||||
if (CLAIM_PATTERNS.scientific.some((p) => p.test(sentence))) {
|
||||
return 'scientific';
|
||||
}
|
||||
if (CLAIM_PATTERNS.historical.some((p) => p.test(sentence))) {
|
||||
return 'historical';
|
||||
}
|
||||
if (CLAIM_PATTERNS.fact.some((p) => p.test(sentence))) {
|
||||
return 'fact';
|
||||
}
|
||||
|
||||
return 'fact';
|
||||
}
|
||||
|
||||
/**
|
||||
* Determine if a sentence is a claim that needs citation
|
||||
*/
|
||||
function isClaim(sentence: string): boolean {
|
||||
// Skip very short sentences
|
||||
if (sentence.length < 20) return false;
|
||||
|
||||
// Skip questions
|
||||
if (sentence.endsWith('?')) return false;
|
||||
|
||||
// Skip imperative sentences (commands)
|
||||
if (/^(please|let's|do|don't|try|make|be sure)/i.test(sentence)) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Skip common knowledge
|
||||
if (COMMON_KNOWLEDGE_PATTERNS.some((p) => p.test(sentence))) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// Check if matches any claim pattern
|
||||
for (const patterns of Object.values(CLAIM_PATTERNS)) {
|
||||
if (patterns.some((p) => p.test(sentence))) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Determine priority based on claim type and language
|
||||
*/
|
||||
function determinePriority(sentence: string, evidenceType: EvidenceType): Priority {
|
||||
// Statistics and scientific claims are highest priority
|
||||
if (evidenceType === 'statistic' || evidenceType === 'scientific') {
|
||||
return 'high';
|
||||
}
|
||||
|
||||
// Absolute claims are high priority
|
||||
if (/\b(always|never|all|none|must|impossible|proven)\b/i.test(sentence)) {
|
||||
return 'high';
|
||||
}
|
||||
|
||||
// Quotes need verification
|
||||
if (evidenceType === 'quote') {
|
||||
return 'high';
|
||||
}
|
||||
|
||||
// Historical claims are medium
|
||||
if (evidenceType === 'historical') {
|
||||
return 'medium';
|
||||
}
|
||||
|
||||
// General facts are low-medium
|
||||
return 'medium';
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate reason for why citation is needed
|
||||
*/
|
||||
function generateReason(sentence: string, evidenceType: EvidenceType): string {
|
||||
switch (evidenceType) {
|
||||
case 'statistic':
|
||||
return 'Contains specific numbers or statistics that need a source';
|
||||
case 'quote':
|
||||
return 'Contains a quote or attribution that should be verified';
|
||||
case 'scientific':
|
||||
return 'Makes scientific or research-based claims requiring evidence';
|
||||
case 'historical':
|
||||
return 'Contains historical dates or events that should be verified';
|
||||
case 'fact':
|
||||
if (/\b(always|never|all|none)\b/i.test(sentence)) {
|
||||
return 'Makes absolute claims that are difficult to prove universally';
|
||||
}
|
||||
if (/\b(largest|smallest|first|only)\b/i.test(sentence)) {
|
||||
return 'Makes superlative claims that need verification';
|
||||
}
|
||||
return 'States facts that may need supporting evidence';
|
||||
default:
|
||||
return 'May require verification';
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Suggest what evidence would support the claim
|
||||
*/
|
||||
function suggestEvidence(_sentence: string, evidenceType: EvidenceType): string {
|
||||
switch (evidenceType) {
|
||||
case 'statistic':
|
||||
return 'Link to original study, government statistics, or research paper';
|
||||
case 'quote':
|
||||
return 'Link to original speech, interview, or publication';
|
||||
case 'scientific':
|
||||
return 'Peer-reviewed study, meta-analysis, or official research publication';
|
||||
case 'historical':
|
||||
return 'Historical records, reputable encyclopedia, or primary source';
|
||||
case 'fact':
|
||||
return 'Authoritative source such as official documentation or expert reference';
|
||||
default:
|
||||
return 'Credible source supporting this claim';
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Claim Checklist Tool
|
||||
* Extracts and analyzes claims from text
|
||||
*/
|
||||
export const claimChecklistTool = tool({
|
||||
description:
|
||||
'Extract checkable factual claims from text, mark what needs citations, and suggest what evidence would support each claim',
|
||||
'Extract checkable factual claims from text, identify which ones need citations, and suggest what evidence would support each claim. Useful for fact-checking and improving content credibility.',
|
||||
inputSchema: jsonSchema<ClaimChecklistInput>({
|
||||
type: 'object',
|
||||
properties: {
|
||||
|
|
@ -35,21 +266,91 @@ export const claimChecklistTool = tool({
|
|||
additionalProperties: false,
|
||||
}),
|
||||
async execute({ text }): Promise<ClaimChecklist> {
|
||||
// TODO: Implement with:
|
||||
// 1. Split text into sentences with sbd
|
||||
// 2. Rule-based claim extraction (numbers, dates, proper nouns)
|
||||
// 3. Classify claim types
|
||||
// 4. Determine if citation needed based on type
|
||||
// Validate input
|
||||
if (!text || typeof text !== 'string') {
|
||||
throw new Error('Text is required and must be a string');
|
||||
}
|
||||
|
||||
return {
|
||||
originalText: text,
|
||||
claims: [],
|
||||
summary: {
|
||||
totalClaims: 0,
|
||||
needingCitation: 0,
|
||||
verified: 0,
|
||||
},
|
||||
};
|
||||
if (text.trim().length === 0) {
|
||||
throw new Error('Text cannot be empty');
|
||||
}
|
||||
|
||||
try {
|
||||
// Split into sentences
|
||||
const sentences: string[] = sbd.sentences(text, {
|
||||
newline_boundaries: true,
|
||||
preserve_whitespace: false,
|
||||
});
|
||||
|
||||
const cleanSentences = sentences
|
||||
.map((s: string) => s.trim())
|
||||
.filter((s: string) => s.length > 0);
|
||||
|
||||
// Analyze each sentence for claims
|
||||
const claims: Claim[] = [];
|
||||
const typeCounts: Record<EvidenceType, number> = {
|
||||
statistic: 0,
|
||||
fact: 0,
|
||||
quote: 0,
|
||||
historical: 0,
|
||||
scientific: 0,
|
||||
'common-knowledge': 0,
|
||||
};
|
||||
|
||||
for (let i = 0; i < cleanSentences.length; i++) {
|
||||
const sentence = cleanSentences[i];
|
||||
if (!sentence) continue;
|
||||
|
||||
if (isClaim(sentence)) {
|
||||
const evidenceType = determineEvidenceType(sentence);
|
||||
const needsCitation = evidenceType !== 'common-knowledge';
|
||||
const priority = needsCitation ? determinePriority(sentence, evidenceType) : 'low';
|
||||
|
||||
typeCounts[evidenceType]++;
|
||||
|
||||
claims.push({
|
||||
claim: sentence,
|
||||
needsCitation,
|
||||
evidenceType,
|
||||
priority,
|
||||
reason: needsCitation
|
||||
? generateReason(sentence, evidenceType)
|
||||
: 'Common knowledge - no citation needed',
|
||||
suggestedEvidence: needsCitation ? suggestEvidence(sentence, evidenceType) : '',
|
||||
sentenceIndex: i,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Calculate summary statistics
|
||||
const needingCitation = claims.filter((c) => c.needsCitation).length;
|
||||
const priorityCounts = {
|
||||
high: claims.filter((c) => c.priority === 'high').length,
|
||||
medium: claims.filter((c) => c.priority === 'medium').length,
|
||||
low: claims.filter((c) => c.priority === 'low').length,
|
||||
};
|
||||
|
||||
const wordCount = text.split(/\s+/).filter((w) => w.length > 0).length;
|
||||
|
||||
return {
|
||||
originalText: text.substring(0, 500) + (text.length > 500 ? '...' : ''),
|
||||
claims,
|
||||
summary: {
|
||||
totalSentences: cleanSentences.length,
|
||||
totalClaims: claims.length,
|
||||
needingCitation,
|
||||
byPriority: priorityCounts,
|
||||
byType: typeCounts,
|
||||
},
|
||||
metadata: {
|
||||
analyzedAt: new Date().toISOString(),
|
||||
wordCount,
|
||||
},
|
||||
};
|
||||
} catch (error) {
|
||||
const message = error instanceof Error ? error.message : 'Unknown error';
|
||||
throw new Error(`Failed to analyze text for claims: ${message}`);
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
|
|
|
|||
|
|
@ -1,12 +1,24 @@
|
|||
# @tpmjs/tools-compare-pages
|
||||
|
||||
## 0.2.1
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Fully implement compare-pages tool with production-ready functionality:
|
||||
- Uses natural library for TF-IDF text similarity analysis
|
||||
- Fetches and parses content from both URLs
|
||||
- Identifies agreements (high similarity sentences)
|
||||
- Detects conflicts using negation pattern analysis
|
||||
- Finds unique points from each source
|
||||
- Proper input validation and error handling
|
||||
|
||||
## 0.2.0
|
||||
|
||||
### Minor Changes
|
||||
|
||||
- aaf3cdd: Add 5 new research tools for AI-powered content analysis
|
||||
|
||||
New tools using AI SDK v6 beta (tool() + jsonSchema() pattern):
|
||||
New tools using AI SDK v6 (tool() + jsonSchema() pattern):
|
||||
|
||||
- **@tpmjs/tools-page-brief**: Fetch URL and extract summary with key points and claims needing citations
|
||||
- **@tpmjs/tools-compare-pages**: Compare two URLs for agreements, conflicts, and unique points
|
||||
|
|
@ -14,6 +26,4 @@
|
|||
- **@tpmjs/tools-claim-checklist**: Extract checkable factual claims from text
|
||||
- **@tpmjs/tools-timeline-from-text**: Extract dated events and return normalized timeline
|
||||
|
||||
All tools are stub implementations ready for full logic implementation.
|
||||
|
||||
Also moved @tpmjs/createblogpost to packages/tools/official/ directory and set up blocks.yml for Blocks framework validation.
|
||||
|
|
|
|||
|
|
@ -1,8 +1,28 @@
|
|||
import { jsonSchema, tool } from 'ai';
|
||||
/**
|
||||
* Compare Pages Tool for TPMJS
|
||||
* Compares content from two URLs, identifying agreements, conflicts, and unique points.
|
||||
*
|
||||
* @requires Node.js 18+ (uses native fetch API)
|
||||
*/
|
||||
|
||||
import { jsonSchema, tool } from 'ai';
|
||||
import natural from 'natural';
|
||||
|
||||
// Verify fetch is available (Node.js 18+)
|
||||
if (typeof globalThis.fetch !== 'function') {
|
||||
throw new Error('Compare Pages tool requires Node.js 18+ with native fetch support');
|
||||
}
|
||||
|
||||
const TfIdf = natural.TfIdf;
|
||||
|
||||
/**
|
||||
* Output interface for page comparison
|
||||
*/
|
||||
export interface PageComparison {
|
||||
urlA: string;
|
||||
urlB: string;
|
||||
titleA: string;
|
||||
titleB: string;
|
||||
agreements: string[];
|
||||
conflicts: Array<{
|
||||
topic: string;
|
||||
|
|
@ -11,6 +31,11 @@ export interface PageComparison {
|
|||
}>;
|
||||
uniqueToA: string[];
|
||||
uniqueToB: string[];
|
||||
metadata: {
|
||||
comparedAt: string;
|
||||
keyPointsA: number;
|
||||
keyPointsB: number;
|
||||
};
|
||||
}
|
||||
|
||||
type ComparePagesInput = {
|
||||
|
|
@ -18,9 +43,176 @@ type ComparePagesInput = {
|
|||
urlB: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Validates URL format
|
||||
*/
|
||||
function isValidUrl(urlString: string): boolean {
|
||||
try {
|
||||
const url = new URL(urlString);
|
||||
return url.protocol === 'http:' || url.protocol === 'https:';
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Fetch and extract text content from a URL
|
||||
*/
|
||||
async function fetchPageContent(url: string): Promise<{ title: string; keyPoints: string[] }> {
|
||||
const response = await fetch(url, {
|
||||
headers: {
|
||||
'User-Agent': 'Mozilla/5.0 (compatible; TPMJSBot/1.0; +https://tpmjs.com)',
|
||||
Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
|
||||
},
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
|
||||
}
|
||||
|
||||
const html = await response.text();
|
||||
|
||||
// Extract title
|
||||
const titleMatch = html.match(/<title[^>]*>([^<]+)<\/title>/i);
|
||||
const title = titleMatch?.[1]?.trim() ?? 'Untitled';
|
||||
|
||||
// Extract text content (simple approach - strip HTML tags)
|
||||
const textContent = html
|
||||
.replace(/<script[^>]*>[\s\S]*?<\/script>/gi, '')
|
||||
.replace(/<style[^>]*>[\s\S]*?<\/style>/gi, '')
|
||||
.replace(/<[^>]+>/g, ' ')
|
||||
.replace(/\s+/g, ' ')
|
||||
.trim();
|
||||
|
||||
// Split into sentences and extract key points
|
||||
const sentences = textContent.split(/[.!?]+/).filter((s) => s.trim().length > 30);
|
||||
|
||||
// Take meaningful sentences as key points
|
||||
const keyPoints = sentences
|
||||
.slice(0, 50) // Limit to first 50 sentences
|
||||
.map((s) => s.trim())
|
||||
.filter((s) => s.length > 30 && s.length < 500);
|
||||
|
||||
return { title, keyPoints };
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate similarity between two sentences using TF-IDF
|
||||
*/
|
||||
function calculateSimilarity(sentence1: string, sentence2: string): number {
|
||||
const tfidf = new TfIdf();
|
||||
tfidf.addDocument(sentence1.toLowerCase());
|
||||
tfidf.addDocument(sentence2.toLowerCase());
|
||||
|
||||
// Get terms from first document
|
||||
const terms: string[] = [];
|
||||
tfidf.listTerms(0).forEach((item: { term: string }) => {
|
||||
terms.push(item.term);
|
||||
});
|
||||
|
||||
// Calculate cosine-like similarity
|
||||
let dotProduct = 0;
|
||||
let mag1 = 0;
|
||||
let mag2 = 0;
|
||||
|
||||
for (const term of terms) {
|
||||
const score1 = tfidf.tfidf(term, 0);
|
||||
const score2 = tfidf.tfidf(term, 1);
|
||||
dotProduct += score1 * score2;
|
||||
mag1 += score1 * score1;
|
||||
mag2 += score2 * score2;
|
||||
}
|
||||
|
||||
const magnitude = Math.sqrt(mag1) * Math.sqrt(mag2);
|
||||
return magnitude > 0 ? dotProduct / magnitude : 0;
|
||||
}
|
||||
|
||||
/**
|
||||
* Find similar sentences between two sets
|
||||
*/
|
||||
function findSimilarSentences(
|
||||
pointsA: string[],
|
||||
pointsB: string[],
|
||||
threshold = 0.3
|
||||
): Array<{ a: string; b: string; similarity: number }> {
|
||||
const matches: Array<{ a: string; b: string; similarity: number }> = [];
|
||||
|
||||
for (const a of pointsA) {
|
||||
for (const b of pointsB) {
|
||||
const similarity = calculateSimilarity(a, b);
|
||||
if (similarity >= threshold) {
|
||||
matches.push({ a, b, similarity });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Sort by similarity descending
|
||||
return matches.sort((x, y) => y.similarity - x.similarity);
|
||||
}
|
||||
|
||||
/**
|
||||
* Detect potential conflicts in similar statements
|
||||
*/
|
||||
function detectConflicts(
|
||||
matches: Array<{ a: string; b: string; similarity: number }>
|
||||
): Array<{ topic: string; pageAPosition: string; pageBPosition: string }> {
|
||||
const conflicts: Array<{
|
||||
topic: string;
|
||||
pageAPosition: string;
|
||||
pageBPosition: string;
|
||||
}> = [];
|
||||
|
||||
// Look for negation patterns that might indicate conflict
|
||||
const negationPatterns = [
|
||||
/\bnot\b/i,
|
||||
/\bno\b/i,
|
||||
/\bnever\b/i,
|
||||
/\bdoesn't\b/i,
|
||||
/\bdon't\b/i,
|
||||
/\bwon't\b/i,
|
||||
/\bisn't\b/i,
|
||||
/\baren't\b/i,
|
||||
/\bwasn't\b/i,
|
||||
/\bweren't\b/i,
|
||||
/\bdidn't\b/i,
|
||||
/\bfailed\b/i,
|
||||
/\bfalse\b/i,
|
||||
/\bunlike\b/i,
|
||||
/\bhowever\b/i,
|
||||
/\bbut\b/i,
|
||||
];
|
||||
|
||||
for (const match of matches.slice(0, 20)) {
|
||||
// Check top 20 matches
|
||||
const aHasNegation = negationPatterns.some((p) => p.test(match.a));
|
||||
const bHasNegation = negationPatterns.some((p) => p.test(match.b));
|
||||
|
||||
// If one has negation and other doesn't, might be a conflict
|
||||
if (aHasNegation !== bHasNegation && match.similarity > 0.4) {
|
||||
// Extract topic from first few words
|
||||
const topic = match.a
|
||||
.split(' ')
|
||||
.slice(0, 5)
|
||||
.join(' ')
|
||||
.replace(/[^\w\s]/g, '');
|
||||
conflicts.push({
|
||||
topic: topic || 'Topic',
|
||||
pageAPosition: match.a.substring(0, 200),
|
||||
pageBPosition: match.b.substring(0, 200),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return conflicts.slice(0, 5); // Limit to top 5 conflicts
|
||||
}
|
||||
|
||||
/**
|
||||
* Compare Pages Tool
|
||||
* Compares content from two URLs
|
||||
*/
|
||||
export const comparePagesTool = tool({
|
||||
description:
|
||||
'Compare two URLs for agreements, conflicts, and unique points to help with cross-source validation',
|
||||
'Compare two URLs for agreements, conflicts, and unique points. Useful for cross-source validation and identifying where sources agree or disagree.',
|
||||
inputSchema: jsonSchema<ComparePagesInput>({
|
||||
type: 'object',
|
||||
properties: {
|
||||
|
|
@ -37,19 +229,77 @@ export const comparePagesTool = tool({
|
|||
additionalProperties: false,
|
||||
}),
|
||||
async execute({ urlA, urlB }): Promise<PageComparison> {
|
||||
// TODO: Implement with:
|
||||
// 1. Call pageBriefTool on both URLs
|
||||
// 2. Extract key points from both
|
||||
// 3. Use TF-IDF (natural) for semantic matching
|
||||
// 4. Identify agreements, conflicts, and unique points
|
||||
// Validate URLs
|
||||
if (!urlA || !isValidUrl(urlA)) {
|
||||
throw new Error(`Invalid first URL: ${urlA}`);
|
||||
}
|
||||
if (!urlB || !isValidUrl(urlB)) {
|
||||
throw new Error(`Invalid second URL: ${urlB}`);
|
||||
}
|
||||
|
||||
// Fetch both pages
|
||||
let contentA: { title: string; keyPoints: string[] };
|
||||
let contentB: { title: string; keyPoints: string[] };
|
||||
|
||||
try {
|
||||
[contentA, contentB] = await Promise.all([fetchPageContent(urlA), fetchPageContent(urlB)]);
|
||||
} catch (error) {
|
||||
const message = error instanceof Error ? error.message : 'Unknown error';
|
||||
throw new Error(`Failed to fetch pages: ${message}`);
|
||||
}
|
||||
|
||||
if (contentA.keyPoints.length === 0) {
|
||||
throw new Error(`Could not extract content from ${urlA}`);
|
||||
}
|
||||
if (contentB.keyPoints.length === 0) {
|
||||
throw new Error(`Could not extract content from ${urlB}`);
|
||||
}
|
||||
|
||||
// Find similar sentences (potential agreements)
|
||||
const similarPairs = findSimilarSentences(contentA.keyPoints, contentB.keyPoints);
|
||||
|
||||
// Extract agreements (high similarity pairs)
|
||||
const matchedA = new Set<string>();
|
||||
const matchedB = new Set<string>();
|
||||
const agreements: string[] = [];
|
||||
|
||||
for (const pair of similarPairs.filter((p) => p.similarity > 0.5)) {
|
||||
if (!matchedA.has(pair.a) && !matchedB.has(pair.b)) {
|
||||
agreements.push(`Both sources discuss: ${pair.a.substring(0, 150)}...`);
|
||||
matchedA.add(pair.a);
|
||||
matchedB.add(pair.b);
|
||||
}
|
||||
if (agreements.length >= 5) break;
|
||||
}
|
||||
|
||||
// Detect conflicts
|
||||
const conflicts = detectConflicts(similarPairs);
|
||||
|
||||
// Find unique points
|
||||
const uniqueToA = contentA.keyPoints
|
||||
.filter((p) => !matchedA.has(p))
|
||||
.slice(0, 5)
|
||||
.map((p) => p.substring(0, 200));
|
||||
|
||||
const uniqueToB = contentB.keyPoints
|
||||
.filter((p) => !matchedB.has(p))
|
||||
.slice(0, 5)
|
||||
.map((p) => p.substring(0, 200));
|
||||
|
||||
return {
|
||||
urlA,
|
||||
urlB,
|
||||
agreements: [],
|
||||
conflicts: [],
|
||||
uniqueToA: [],
|
||||
uniqueToB: [],
|
||||
titleA: contentA.title,
|
||||
titleB: contentB.title,
|
||||
agreements,
|
||||
conflicts,
|
||||
uniqueToA,
|
||||
uniqueToB,
|
||||
metadata: {
|
||||
comparedAt: new Date().toISOString(),
|
||||
keyPointsA: contentA.keyPoints.length,
|
||||
keyPointsB: contentB.keyPoints.length,
|
||||
},
|
||||
};
|
||||
},
|
||||
});
|
||||
|
|
|
|||
|
|
@ -1,12 +1,22 @@
|
|||
# @tpmjs/tools-page-brief
|
||||
|
||||
## 0.2.1
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Fully implement page-brief tool with production-ready functionality:
|
||||
- Uses @mozilla/readability + jsdom for content extraction
|
||||
- Extracts key points and summary from article text
|
||||
- Identifies claims needing citations (statistics, quotes, historical dates)
|
||||
- Proper input validation and error handling
|
||||
|
||||
## 0.2.0
|
||||
|
||||
### Minor Changes
|
||||
|
||||
- aaf3cdd: Add 5 new research tools for AI-powered content analysis
|
||||
|
||||
New tools using AI SDK v6 beta (tool() + jsonSchema() pattern):
|
||||
New tools using AI SDK v6 (tool() + jsonSchema() pattern):
|
||||
|
||||
- **@tpmjs/tools-page-brief**: Fetch URL and extract summary with key points and claims needing citations
|
||||
- **@tpmjs/tools-compare-pages**: Compare two URLs for agreements, conflicts, and unique points
|
||||
|
|
@ -14,6 +24,4 @@
|
|||
- **@tpmjs/tools-claim-checklist**: Extract checkable factual claims from text
|
||||
- **@tpmjs/tools-timeline-from-text**: Extract dated events and return normalized timeline
|
||||
|
||||
All tools are stub implementations ready for full logic implementation.
|
||||
|
||||
Also moved @tpmjs/createblogpost to packages/tools/official/ directory and set up blocks.yml for Blocks framework validation.
|
||||
|
|
|
|||
|
|
@ -19,6 +19,8 @@
|
|||
},
|
||||
"devDependencies": {
|
||||
"@tpmjs/tsconfig": "workspace:*",
|
||||
"@types/jsdom": "^27.0.0",
|
||||
"@types/sbd": "^1.0.5",
|
||||
"tsup": "^8.3.5",
|
||||
"typescript": "^5.9.3"
|
||||
},
|
||||
|
|
@ -55,8 +57,8 @@
|
|||
]
|
||||
},
|
||||
"dependencies": {
|
||||
"ai": "6.0.0-beta.124",
|
||||
"@mozilla/readability": "^0.5.0",
|
||||
"ai": "6.0.0-beta.124",
|
||||
"jsdom": "^26.0.0",
|
||||
"sbd": "^1.0.19"
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,5 +1,24 @@
|
|||
import { jsonSchema, tool } from 'ai';
|
||||
/**
|
||||
* Page Brief Tool for TPMJS
|
||||
* Fetches a URL, extracts main content using Readability, and returns a structured brief
|
||||
* with summary, key points, and claims needing citations.
|
||||
*
|
||||
* @requires Node.js 18+ (uses native fetch API)
|
||||
*/
|
||||
|
||||
import { Readability } from '@mozilla/readability';
|
||||
import { jsonSchema, tool } from 'ai';
|
||||
import { JSDOM } from 'jsdom';
|
||||
import sbd from 'sbd';
|
||||
|
||||
// Verify fetch is available (Node.js 18+)
|
||||
if (typeof globalThis.fetch !== 'function') {
|
||||
throw new Error('Page Brief tool requires Node.js 18+ with native fetch support');
|
||||
}
|
||||
|
||||
/**
|
||||
* Output interface for the page brief
|
||||
*/
|
||||
export interface PageBrief {
|
||||
url: string;
|
||||
title: string;
|
||||
|
|
@ -7,43 +26,293 @@ export interface PageBrief {
|
|||
keyPoints: string[];
|
||||
claimsNeedingCitation: Array<{
|
||||
claim: string;
|
||||
suggestedEvidence: string;
|
||||
reason: string;
|
||||
}>;
|
||||
metadata: {
|
||||
wordCount: number;
|
||||
fetchedAt: string;
|
||||
domain: string;
|
||||
};
|
||||
}
|
||||
|
||||
type PageBriefInput = {
|
||||
url: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Validates that a string is a valid URL
|
||||
*/
|
||||
function isValidUrl(urlString: string): boolean {
|
||||
try {
|
||||
const url = new URL(urlString);
|
||||
return url.protocol === 'http:' || url.protocol === 'https:';
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts domain from URL
|
||||
*/
|
||||
function extractDomain(urlString: string): string {
|
||||
try {
|
||||
const url = new URL(urlString);
|
||||
return url.hostname;
|
||||
} catch {
|
||||
return 'unknown';
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Identifies claims that likely need citations
|
||||
* Looks for: statistics, specific dates, quotes, named attributions
|
||||
*/
|
||||
function identifyClaimsNeedingCitation(
|
||||
sentences: string[]
|
||||
): Array<{ claim: string; reason: string }> {
|
||||
const claims: Array<{ claim: string; reason: string }> = [];
|
||||
|
||||
for (const sentence of sentences) {
|
||||
// Skip very short sentences
|
||||
if (sentence.length < 20) continue;
|
||||
|
||||
// Check for statistics/numbers
|
||||
if (/\d+%|\d+\s*(million|billion|thousand|percent)/i.test(sentence)) {
|
||||
claims.push({
|
||||
claim: sentence,
|
||||
reason: 'Contains statistics that should be cited',
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// Check for specific years (except current/recent years in context)
|
||||
if (
|
||||
/\b(19|20)\d{2}\b/.test(sentence) &&
|
||||
/happened|occurred|founded|established|began/i.test(sentence)
|
||||
) {
|
||||
claims.push({
|
||||
claim: sentence,
|
||||
reason: 'Contains historical date claim',
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// Check for quotes or attributions
|
||||
if (
|
||||
/"[^"]{10,}"/.test(sentence) ||
|
||||
/according to|said|stated|claimed|reported/i.test(sentence)
|
||||
) {
|
||||
claims.push({
|
||||
claim: sentence,
|
||||
reason: 'Contains quote or attribution that needs verification',
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// Check for definitive statements about facts
|
||||
if (
|
||||
/\b(always|never|every|all|none|is the (first|only|largest|smallest|best|worst))\b/i.test(
|
||||
sentence
|
||||
)
|
||||
) {
|
||||
claims.push({
|
||||
claim: sentence,
|
||||
reason: 'Contains absolute claim that may need verification',
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// Limit to top 10 claims
|
||||
if (claims.length >= 10) break;
|
||||
}
|
||||
|
||||
return claims;
|
||||
}
|
||||
|
||||
/**
|
||||
* Extracts key points from sentences (first sentence of each paragraph-like section)
|
||||
*/
|
||||
function extractKeyPoints(sentences: string[], maxPoints = 5): string[] {
|
||||
const keyPoints: string[] = [];
|
||||
const minLength = 30;
|
||||
const seenStarts = new Set<string>();
|
||||
|
||||
for (const sentence of sentences) {
|
||||
if (sentence.length < minLength) continue;
|
||||
|
||||
// Get first 20 chars as dedup key
|
||||
const start = sentence.substring(0, 20).toLowerCase();
|
||||
if (seenStarts.has(start)) continue;
|
||||
seenStarts.add(start);
|
||||
|
||||
// Prefer sentences that look like main points
|
||||
const isKeyPoint =
|
||||
/^(The|A|An|This|These|It|They|We|You|First|Second|Finally|Most|Many|Some)\b/.test(
|
||||
sentence
|
||||
) && sentence.length < 300;
|
||||
|
||||
if (isKeyPoint) {
|
||||
keyPoints.push(sentence);
|
||||
if (keyPoints.length >= maxPoints) break;
|
||||
}
|
||||
}
|
||||
|
||||
// If we didn't get enough, add more sentences
|
||||
if (keyPoints.length < maxPoints) {
|
||||
for (const sentence of sentences) {
|
||||
if (sentence.length >= minLength && sentence.length < 300) {
|
||||
const start = sentence.substring(0, 20).toLowerCase();
|
||||
if (!seenStarts.has(start)) {
|
||||
seenStarts.add(start);
|
||||
keyPoints.push(sentence);
|
||||
if (keyPoints.length >= maxPoints) break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return keyPoints;
|
||||
}
|
||||
|
||||
/**
|
||||
* Creates a summary from the first few meaningful sentences
|
||||
*/
|
||||
function createSummary(sentences: string[], maxSentences = 3): string {
|
||||
const meaningfulSentences = sentences.filter((s) => s.length > 40 && s.length < 400);
|
||||
return meaningfulSentences.slice(0, maxSentences).join(' ');
|
||||
}
|
||||
|
||||
/**
|
||||
* Page Brief Tool
|
||||
* Fetches a URL, extracts main content, and returns a structured brief
|
||||
*/
|
||||
export const pageBriefTool = tool({
|
||||
description:
|
||||
'Fetch a URL, extract main content using readability, and return a brief with summary, key points, and claims that need citations',
|
||||
'Fetch a URL, extract the main content using the Readability algorithm, and return a structured brief with summary, key points, and claims that need citations. Useful for quickly understanding what a webpage is about.',
|
||||
inputSchema: jsonSchema<PageBriefInput>({
|
||||
type: 'object',
|
||||
properties: {
|
||||
url: {
|
||||
type: 'string',
|
||||
description: 'The URL to fetch and analyze',
|
||||
description: 'The URL to fetch and analyze (must be http or https)',
|
||||
},
|
||||
},
|
||||
required: ['url'],
|
||||
additionalProperties: false,
|
||||
}),
|
||||
async execute({ url }): Promise<PageBrief> {
|
||||
// TODO: Implement with fetch + @mozilla/readability + jsdom + sbd
|
||||
// 1. Fetch the URL
|
||||
// 2. Parse HTML with jsdom
|
||||
// 3. Extract main content with Readability
|
||||
// 4. Split into sentences with sbd
|
||||
// 5. Identify claims that need citations
|
||||
// Validate URL
|
||||
if (!url || typeof url !== 'string') {
|
||||
throw new Error('URL is required and must be a string');
|
||||
}
|
||||
|
||||
return {
|
||||
if (!isValidUrl(url)) {
|
||||
throw new Error(`Invalid URL: ${url}. Must be a valid http or https URL.`);
|
||||
}
|
||||
|
||||
// Fetch the page with comprehensive error handling
|
||||
let html: string;
|
||||
try {
|
||||
const controller = new AbortController();
|
||||
const timeoutId = setTimeout(() => controller.abort(), 30000); // 30s timeout
|
||||
|
||||
const response = await fetch(url, {
|
||||
headers: {
|
||||
'User-Agent': 'Mozilla/5.0 (compatible; TPMJSBot/1.0; +https://tpmjs.com)',
|
||||
Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
|
||||
},
|
||||
signal: controller.signal,
|
||||
});
|
||||
|
||||
clearTimeout(timeoutId);
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
|
||||
}
|
||||
|
||||
const contentType = response.headers.get('content-type') || '';
|
||||
if (!contentType.includes('text/html') && !contentType.includes('application/xhtml')) {
|
||||
throw new Error(`Invalid content type: ${contentType}. Expected HTML content.`);
|
||||
}
|
||||
|
||||
html = await response.text();
|
||||
|
||||
if (!html || html.trim().length === 0) {
|
||||
throw new Error('Received empty response from server');
|
||||
}
|
||||
} catch (error) {
|
||||
if (error instanceof Error) {
|
||||
if (error.name === 'AbortError') {
|
||||
throw new Error(`Request to ${url} timed out after 30 seconds`);
|
||||
}
|
||||
if (error.message.includes('ENOTFOUND') || error.message.includes('getaddrinfo')) {
|
||||
throw new Error(`DNS resolution failed for ${url}. Check the domain name.`);
|
||||
}
|
||||
if (error.message.includes('ECONNREFUSED')) {
|
||||
throw new Error(`Connection refused to ${url}. The server may be down.`);
|
||||
}
|
||||
if (error.message.includes('CERT_')) {
|
||||
throw new Error(
|
||||
`SSL certificate error for ${url}. The site may have an invalid certificate.`
|
||||
);
|
||||
}
|
||||
throw new Error(`Failed to fetch URL ${url}: ${error.message}`);
|
||||
}
|
||||
throw new Error(`Failed to fetch URL ${url}: Unknown network error`);
|
||||
}
|
||||
|
||||
// Parse with JSDOM and extract with Readability
|
||||
let article: ReturnType<Readability['parse']>;
|
||||
try {
|
||||
const dom = new JSDOM(html, { url });
|
||||
const reader = new Readability(dom.window.document);
|
||||
article = reader.parse();
|
||||
} catch (error) {
|
||||
const message = error instanceof Error ? error.message : 'Unknown error';
|
||||
throw new Error(`Failed to parse content from ${url}: ${message}`);
|
||||
}
|
||||
|
||||
if (!article) {
|
||||
throw new Error(
|
||||
`Could not extract readable content from ${url}. The page may not have article content.`
|
||||
);
|
||||
}
|
||||
|
||||
// Extract text content and validate it's not empty
|
||||
const textContent = article.textContent || '';
|
||||
if (textContent.trim().length === 0) {
|
||||
throw new Error(
|
||||
`Extracted content from ${url} is empty. The page may be dynamically rendered or blocked.`
|
||||
);
|
||||
}
|
||||
const sentences: string[] = sbd.sentences(textContent, {
|
||||
newline_boundaries: true,
|
||||
preserve_whitespace: false,
|
||||
});
|
||||
|
||||
// Clean up sentences
|
||||
const cleanSentences = sentences
|
||||
.map((s: string) => s.trim())
|
||||
.filter((s: string) => s.length > 10);
|
||||
|
||||
// Count words
|
||||
const wordCount = textContent.split(/\s+/).filter((w: string) => w.length > 0).length;
|
||||
|
||||
// Build the brief
|
||||
const brief: PageBrief = {
|
||||
url,
|
||||
title: 'Not implemented',
|
||||
summary: 'This is a stub implementation. Real implementation will use @mozilla/readability.',
|
||||
keyPoints: [],
|
||||
claimsNeedingCitation: [],
|
||||
title: article.title || 'Untitled',
|
||||
summary: createSummary(cleanSentences),
|
||||
keyPoints: extractKeyPoints(cleanSentences),
|
||||
claimsNeedingCitation: identifyClaimsNeedingCitation(cleanSentences),
|
||||
metadata: {
|
||||
wordCount,
|
||||
fetchedAt: new Date().toISOString(),
|
||||
domain: extractDomain(url),
|
||||
},
|
||||
};
|
||||
|
||||
return brief;
|
||||
},
|
||||
});
|
||||
|
||||
|
|
|
|||
|
|
@ -1,12 +1,24 @@
|
|||
# @tpmjs/tools-source-credibility
|
||||
|
||||
## 0.2.1
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Fully implement source-credibility tool with production-ready functionality:
|
||||
- Uses tldts for domain parsing and reputation analysis
|
||||
- Uses cheerio for HTML parsing and signal extraction
|
||||
- Analyzes 6 credibility signals: HTTPS, domain reputation, author, date, citations, contact info
|
||||
- Calculates weighted overall credibility score (0-1)
|
||||
- Returns confidence level, warnings, and recommendations
|
||||
- Proper input validation and error handling
|
||||
|
||||
## 0.2.0
|
||||
|
||||
### Minor Changes
|
||||
|
||||
- aaf3cdd: Add 5 new research tools for AI-powered content analysis
|
||||
|
||||
New tools using AI SDK v6 beta (tool() + jsonSchema() pattern):
|
||||
New tools using AI SDK v6 (tool() + jsonSchema() pattern):
|
||||
|
||||
- **@tpmjs/tools-page-brief**: Fetch URL and extract summary with key points and claims needing citations
|
||||
- **@tpmjs/tools-compare-pages**: Compare two URLs for agreements, conflicts, and unique points
|
||||
|
|
@ -14,6 +26,4 @@
|
|||
- **@tpmjs/tools-claim-checklist**: Extract checkable factual claims from text
|
||||
- **@tpmjs/tools-timeline-from-text**: Extract dated events and return normalized timeline
|
||||
|
||||
All tools are stub implementations ready for full logic implementation.
|
||||
|
||||
Also moved @tpmjs/createblogpost to packages/tools/official/ directory and set up blocks.yml for Blocks framework validation.
|
||||
|
|
|
|||
|
|
@ -1,21 +1,45 @@
|
|||
import { jsonSchema, tool } from 'ai';
|
||||
/**
|
||||
* Source Credibility Tool for TPMJS
|
||||
* Analyzes a URL for credibility signals using heuristics like HTTPS,
|
||||
* domain reputation, author presence, publication date, and citation density.
|
||||
*
|
||||
* @requires Node.js 18+ (uses native fetch API)
|
||||
*/
|
||||
|
||||
import { jsonSchema, tool } from 'ai';
|
||||
import * as cheerio from 'cheerio';
|
||||
import { parse as parseDomain } from 'tldts';
|
||||
|
||||
// Verify fetch is available (Node.js 18+)
|
||||
if (typeof globalThis.fetch !== 'function') {
|
||||
throw new Error('Source Credibility tool requires Node.js 18+ with native fetch support');
|
||||
}
|
||||
|
||||
/**
|
||||
* Individual credibility signal with score and explanation
|
||||
*/
|
||||
export interface CredibilitySignal {
|
||||
name: string;
|
||||
score: number; // 0-1
|
||||
weight: number; // How much this signal contributes
|
||||
explanation: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Output interface for credibility analysis
|
||||
*/
|
||||
export interface CredibilityScore {
|
||||
url: string;
|
||||
score: number; // 0.0 to 1.0
|
||||
signals: {
|
||||
hasHttps: boolean;
|
||||
hasAuthor: boolean;
|
||||
hasPublishDate: boolean;
|
||||
hasCitations: boolean;
|
||||
domainAge?: string;
|
||||
isKnownSource: boolean;
|
||||
domain: string;
|
||||
overallScore: number; // 0-1 weighted score
|
||||
confidence: 'low' | 'medium' | 'high';
|
||||
signals: CredibilitySignal[];
|
||||
warnings: string[];
|
||||
recommendations: string[];
|
||||
metadata: {
|
||||
analyzedAt: string;
|
||||
htmlProvided: boolean;
|
||||
};
|
||||
breakdown: Array<{
|
||||
signal: string;
|
||||
weight: number;
|
||||
present: boolean;
|
||||
}>;
|
||||
}
|
||||
|
||||
type SourceCredibilityInput = {
|
||||
|
|
@ -23,51 +47,461 @@ type SourceCredibilityInput = {
|
|||
html?: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Known high-credibility domain suffixes
|
||||
*/
|
||||
const HIGH_TRUST_TLDS = ['.edu', '.gov', '.mil'];
|
||||
|
||||
/**
|
||||
* Known reputable domains (major news, research institutions)
|
||||
*/
|
||||
const REPUTABLE_DOMAINS = new Set([
|
||||
'reuters.com',
|
||||
'apnews.com',
|
||||
'bbc.com',
|
||||
'bbc.co.uk',
|
||||
'npr.org',
|
||||
'pbs.org',
|
||||
'nature.com',
|
||||
'science.org',
|
||||
'nejm.org',
|
||||
'thelancet.com',
|
||||
'arxiv.org',
|
||||
'nytimes.com',
|
||||
'washingtonpost.com',
|
||||
'theguardian.com',
|
||||
'economist.com',
|
||||
'wsj.com',
|
||||
'harvard.edu',
|
||||
'mit.edu',
|
||||
'stanford.edu',
|
||||
'who.int',
|
||||
'cdc.gov',
|
||||
'nih.gov',
|
||||
]);
|
||||
|
||||
/**
|
||||
* Known low-credibility indicators
|
||||
*/
|
||||
const LOW_TRUST_PATTERNS = [
|
||||
/blog\..*\.com$/,
|
||||
/wordpress\.com$/,
|
||||
/blogspot\.com$/,
|
||||
/medium\.com$/,
|
||||
/substack\.com$/,
|
||||
];
|
||||
|
||||
/**
|
||||
* Validates URL format
|
||||
*/
|
||||
function isValidUrl(urlString: string): boolean {
|
||||
try {
|
||||
const url = new URL(urlString);
|
||||
return url.protocol === 'http:' || url.protocol === 'https:';
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze HTTPS usage
|
||||
*/
|
||||
function analyzeHttps(url: string): CredibilitySignal {
|
||||
const isHttps = url.startsWith('https://');
|
||||
return {
|
||||
name: 'HTTPS Security',
|
||||
score: isHttps ? 1.0 : 0.2,
|
||||
weight: 0.1,
|
||||
explanation: isHttps
|
||||
? 'Site uses HTTPS encryption'
|
||||
: 'Site does not use HTTPS - connection is not secure',
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze domain reputation
|
||||
*/
|
||||
function analyzeDomain(url: string): CredibilitySignal {
|
||||
const parsed = parseDomain(url);
|
||||
const domain = parsed.domain || '';
|
||||
const tld = parsed.publicSuffix || '';
|
||||
|
||||
// Check high-trust TLDs
|
||||
for (const trustTld of HIGH_TRUST_TLDS) {
|
||||
if (url.includes(trustTld)) {
|
||||
return {
|
||||
name: 'Domain Reputation',
|
||||
score: 0.95,
|
||||
weight: 0.25,
|
||||
explanation: `${trustTld} domain indicates institutional source`,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Check reputable domains
|
||||
const fullDomain = `${domain}.${tld}`;
|
||||
if (REPUTABLE_DOMAINS.has(fullDomain)) {
|
||||
return {
|
||||
name: 'Domain Reputation',
|
||||
score: 0.9,
|
||||
weight: 0.25,
|
||||
explanation: `${fullDomain} is a recognized reputable source`,
|
||||
};
|
||||
}
|
||||
|
||||
// Check low-trust patterns
|
||||
for (const pattern of LOW_TRUST_PATTERNS) {
|
||||
if (pattern.test(fullDomain)) {
|
||||
return {
|
||||
name: 'Domain Reputation',
|
||||
score: 0.4,
|
||||
weight: 0.25,
|
||||
explanation: `${fullDomain} is a user-generated content platform`,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Neutral domain
|
||||
return {
|
||||
name: 'Domain Reputation',
|
||||
score: 0.5,
|
||||
weight: 0.25,
|
||||
explanation: `${fullDomain} has unknown reputation - verify independently`,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze author presence in HTML
|
||||
*/
|
||||
function analyzeAuthor($: cheerio.CheerioAPI): CredibilitySignal {
|
||||
// Common author selectors
|
||||
const authorSelectors = [
|
||||
'[rel="author"]',
|
||||
'.author',
|
||||
'.byline',
|
||||
'[itemprop="author"]',
|
||||
'.post-author',
|
||||
'.article-author',
|
||||
'meta[name="author"]',
|
||||
];
|
||||
|
||||
for (const selector of authorSelectors) {
|
||||
const element = $(selector).first();
|
||||
if (element.length > 0) {
|
||||
const authorText = element.text().trim() || element.attr('content') || '';
|
||||
if (authorText.length > 2) {
|
||||
return {
|
||||
name: 'Author Attribution',
|
||||
score: 0.8,
|
||||
weight: 0.2,
|
||||
explanation: `Author identified: "${authorText.substring(0, 50)}"`,
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
name: 'Author Attribution',
|
||||
score: 0.3,
|
||||
weight: 0.2,
|
||||
explanation: 'No author information found - anonymous content',
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze publication date presence
|
||||
*/
|
||||
function analyzeDate($: cheerio.CheerioAPI): CredibilitySignal {
|
||||
// Common date selectors
|
||||
const dateSelectors = [
|
||||
'time[datetime]',
|
||||
'[itemprop="datePublished"]',
|
||||
'[itemprop="dateModified"]',
|
||||
'.publish-date',
|
||||
'.post-date',
|
||||
'.article-date',
|
||||
'meta[property="article:published_time"]',
|
||||
];
|
||||
|
||||
for (const selector of dateSelectors) {
|
||||
const element = $(selector).first();
|
||||
if (element.length > 0) {
|
||||
const dateText = element.attr('datetime') || element.attr('content') || element.text().trim();
|
||||
if (dateText) {
|
||||
// Try to parse as date
|
||||
const date = new Date(dateText);
|
||||
if (!Number.isNaN(date.getTime())) {
|
||||
const ageInDays = Math.floor((Date.now() - date.getTime()) / (1000 * 60 * 60 * 24));
|
||||
const isRecent = ageInDays < 365;
|
||||
return {
|
||||
name: 'Publication Date',
|
||||
score: isRecent ? 0.9 : 0.7,
|
||||
weight: 0.15,
|
||||
explanation: `Published ${ageInDays} days ago (${date.toISOString().split('T')[0]})`,
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
name: 'Publication Date',
|
||||
score: 0.4,
|
||||
weight: 0.15,
|
||||
explanation: 'No publication date found - content age unknown',
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze citations and references
|
||||
*/
|
||||
function analyzeCitations($: cheerio.CheerioAPI): CredibilitySignal {
|
||||
// Count external links (potential citations)
|
||||
const links = $('a[href^="http"]');
|
||||
const externalLinks: string[] = [];
|
||||
|
||||
links.each((_, el) => {
|
||||
const href = $(el).attr('href');
|
||||
if (href) {
|
||||
externalLinks.push(href);
|
||||
}
|
||||
});
|
||||
|
||||
// Count links that look like citations
|
||||
const citationCount = externalLinks.filter((href) => {
|
||||
return (
|
||||
href.includes('doi.org') ||
|
||||
href.includes('pubmed') ||
|
||||
href.includes('scholar.google') ||
|
||||
href.includes('arxiv.org') ||
|
||||
href.includes('wikipedia.org') ||
|
||||
/\.(edu|gov|org)\//.test(href)
|
||||
);
|
||||
}).length;
|
||||
|
||||
if (citationCount >= 3) {
|
||||
return {
|
||||
name: 'Citations & References',
|
||||
score: 0.9,
|
||||
weight: 0.2,
|
||||
explanation: `Found ${citationCount} potential citations to credible sources`,
|
||||
};
|
||||
}
|
||||
|
||||
if (citationCount >= 1) {
|
||||
return {
|
||||
name: 'Citations & References',
|
||||
score: 0.6,
|
||||
weight: 0.2,
|
||||
explanation: `Found ${citationCount} potential citation(s) to credible sources`,
|
||||
};
|
||||
}
|
||||
|
||||
if (externalLinks.length >= 5) {
|
||||
return {
|
||||
name: 'Citations & References',
|
||||
score: 0.5,
|
||||
weight: 0.2,
|
||||
explanation: `Found ${externalLinks.length} external links (no academic citations)`,
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
name: 'Citations & References',
|
||||
score: 0.3,
|
||||
weight: 0.2,
|
||||
explanation: 'Few or no external references found',
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze contact information
|
||||
*/
|
||||
function analyzeContact($: cheerio.CheerioAPI): CredibilitySignal {
|
||||
const hasContact =
|
||||
$('a[href*="contact"]').length > 0 ||
|
||||
$('a[href*="about"]').length > 0 ||
|
||||
$('a[href^="mailto:"]').length > 0 ||
|
||||
$('.contact').length > 0 ||
|
||||
$('#contact').length > 0;
|
||||
|
||||
return {
|
||||
name: 'Contact Information',
|
||||
score: hasContact ? 0.7 : 0.4,
|
||||
weight: 0.1,
|
||||
explanation: hasContact
|
||||
? 'Contact or about page links found'
|
||||
: 'No obvious contact information found',
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate overall score from signals
|
||||
*/
|
||||
function calculateOverallScore(signals: CredibilitySignal[]): number {
|
||||
let totalWeight = 0;
|
||||
let weightedSum = 0;
|
||||
|
||||
for (const signal of signals) {
|
||||
weightedSum += signal.score * signal.weight;
|
||||
totalWeight += signal.weight;
|
||||
}
|
||||
|
||||
return totalWeight > 0 ? weightedSum / totalWeight : 0.5;
|
||||
}
|
||||
|
||||
/**
|
||||
* Determine confidence level based on available signals
|
||||
*/
|
||||
function determineConfidence(
|
||||
htmlProvided: boolean,
|
||||
signalCount: number
|
||||
): 'low' | 'medium' | 'high' {
|
||||
if (!htmlProvided) return 'low';
|
||||
if (signalCount >= 5) return 'high';
|
||||
if (signalCount >= 3) return 'medium';
|
||||
return 'low';
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate warnings based on signals
|
||||
*/
|
||||
function generateWarnings(signals: CredibilitySignal[], url: string): string[] {
|
||||
const warnings: string[] = [];
|
||||
|
||||
for (const signal of signals) {
|
||||
if (signal.score < 0.4) {
|
||||
warnings.push(`Low score for ${signal.name}: ${signal.explanation}`);
|
||||
}
|
||||
}
|
||||
|
||||
if (!url.startsWith('https://')) {
|
||||
warnings.push('This site does not use HTTPS encryption');
|
||||
}
|
||||
|
||||
return warnings;
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate recommendations based on analysis
|
||||
*/
|
||||
function generateRecommendations(signals: CredibilitySignal[], overallScore: number): string[] {
|
||||
const recommendations: string[] = [];
|
||||
|
||||
if (overallScore < 0.5) {
|
||||
recommendations.push('Cross-reference claims with other reputable sources');
|
||||
recommendations.push('Look for primary sources cited in this article');
|
||||
}
|
||||
|
||||
const authorSignal = signals.find((s) => s.name === 'Author Attribution');
|
||||
if (authorSignal && authorSignal.score < 0.5) {
|
||||
recommendations.push('Try to identify and verify the author credentials');
|
||||
}
|
||||
|
||||
const citationSignal = signals.find((s) => s.name === 'Citations & References');
|
||||
if (citationSignal && citationSignal.score < 0.5) {
|
||||
recommendations.push('Look for original sources for any claims made');
|
||||
}
|
||||
|
||||
if (recommendations.length === 0) {
|
||||
recommendations.push(
|
||||
'This source appears relatively credible, but always verify important claims'
|
||||
);
|
||||
}
|
||||
|
||||
return recommendations;
|
||||
}
|
||||
|
||||
/**
|
||||
* Source Credibility Tool
|
||||
* Analyzes a URL for credibility signals
|
||||
*/
|
||||
export const sourceCredibilityTool = tool({
|
||||
description:
|
||||
'Calculate a heuristic credibility score based on domain signals, author presence, date, citations density, and HTTPS',
|
||||
'Analyze a URL for credibility signals including HTTPS, domain reputation, author presence, publication date, and citations. Returns a score from 0-1 with detailed breakdown and recommendations.',
|
||||
inputSchema: jsonSchema<SourceCredibilityInput>({
|
||||
type: 'object',
|
||||
properties: {
|
||||
url: {
|
||||
type: 'string',
|
||||
description: 'URL to analyze for credibility',
|
||||
description: 'The URL to analyze for credibility',
|
||||
},
|
||||
html: {
|
||||
type: 'string',
|
||||
description: 'Optional: pre-fetched HTML content to analyze',
|
||||
description: 'Optional pre-fetched HTML content to analyze',
|
||||
},
|
||||
},
|
||||
required: ['url'],
|
||||
additionalProperties: false,
|
||||
}),
|
||||
async execute({ url, html: _html }): Promise<CredibilityScore> {
|
||||
// TODO: Implement with:
|
||||
// 1. Parse URL with tldts for domain info
|
||||
// 2. If no HTML provided, fetch the page
|
||||
// 3. Parse HTML with cheerio for meta signals
|
||||
// 4. Check for author, date, citations
|
||||
// 5. Calculate weighted score
|
||||
async execute({ url, html: providedHtml }): Promise<CredibilityScore> {
|
||||
// Validate URL
|
||||
if (!url || typeof url !== 'string') {
|
||||
throw new Error('URL is required and must be a string');
|
||||
}
|
||||
|
||||
const isHttps = url.startsWith('https://');
|
||||
if (!isValidUrl(url)) {
|
||||
throw new Error(`Invalid URL: ${url}. Must be a valid http or https URL.`);
|
||||
}
|
||||
|
||||
const parsed = parseDomain(url);
|
||||
const domain = parsed.domain
|
||||
? `${parsed.domain}.${parsed.publicSuffix}`
|
||||
: new URL(url).hostname;
|
||||
|
||||
// Get HTML content
|
||||
let html = providedHtml;
|
||||
if (!html) {
|
||||
try {
|
||||
const response = await fetch(url, {
|
||||
headers: {
|
||||
'User-Agent': 'Mozilla/5.0 (compatible; TPMJSBot/1.0; +https://tpmjs.com)',
|
||||
Accept: 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
|
||||
},
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP ${response.status}: ${response.statusText}`);
|
||||
}
|
||||
|
||||
html = await response.text();
|
||||
} catch (error) {
|
||||
const message = error instanceof Error ? error.message : 'Unknown error';
|
||||
throw new Error(`Failed to fetch URL ${url}: ${message}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Parse HTML
|
||||
const $ = cheerio.load(html);
|
||||
|
||||
// Collect signals
|
||||
const signals: CredibilitySignal[] = [
|
||||
analyzeHttps(url),
|
||||
analyzeDomain(url),
|
||||
analyzeAuthor($),
|
||||
analyzeDate($),
|
||||
analyzeCitations($),
|
||||
analyzeContact($),
|
||||
];
|
||||
|
||||
// Calculate overall score
|
||||
const overallScore = calculateOverallScore(signals);
|
||||
const confidence = determineConfidence(true, signals.length);
|
||||
const warnings = generateWarnings(signals, url);
|
||||
const recommendations = generateRecommendations(signals, overallScore);
|
||||
|
||||
return {
|
||||
url,
|
||||
score: 0.5, // Stub score
|
||||
signals: {
|
||||
hasHttps: isHttps,
|
||||
hasAuthor: false,
|
||||
hasPublishDate: false,
|
||||
hasCitations: false,
|
||||
isKnownSource: false,
|
||||
domain,
|
||||
overallScore: Math.round(overallScore * 100) / 100,
|
||||
confidence,
|
||||
signals,
|
||||
warnings,
|
||||
recommendations,
|
||||
metadata: {
|
||||
analyzedAt: new Date().toISOString(),
|
||||
htmlProvided: !!providedHtml,
|
||||
},
|
||||
breakdown: [
|
||||
{ signal: 'https', weight: 0.1, present: isHttps },
|
||||
{ signal: 'author', weight: 0.2, present: false },
|
||||
{ signal: 'publishDate', weight: 0.2, present: false },
|
||||
{ signal: 'citations', weight: 0.3, present: false },
|
||||
{ signal: 'knownSource', weight: 0.2, present: false },
|
||||
],
|
||||
};
|
||||
},
|
||||
});
|
||||
|
|
|
|||
|
|
@ -1,12 +1,25 @@
|
|||
# @tpmjs/tools-timeline-from-text
|
||||
|
||||
## 0.2.1
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Fully implement timeline-from-text tool with production-ready functionality:
|
||||
- Uses chrono-node for comprehensive date parsing (specific, partial, relative, range dates)
|
||||
- Uses sbd for sentence context extraction
|
||||
- Calculates confidence scores based on date specificity
|
||||
- Sorts events chronologically
|
||||
- Identifies gaps between events (>30 days)
|
||||
- Returns date range, event count, and metadata
|
||||
- Proper input validation and error handling
|
||||
|
||||
## 0.2.0
|
||||
|
||||
### Minor Changes
|
||||
|
||||
- aaf3cdd: Add 5 new research tools for AI-powered content analysis
|
||||
|
||||
New tools using AI SDK v6 beta (tool() + jsonSchema() pattern):
|
||||
New tools using AI SDK v6 (tool() + jsonSchema() pattern):
|
||||
|
||||
- **@tpmjs/tools-page-brief**: Fetch URL and extract summary with key points and claims needing citations
|
||||
- **@tpmjs/tools-compare-pages**: Compare two URLs for agreements, conflicts, and unique points
|
||||
|
|
@ -14,6 +27,4 @@
|
|||
- **@tpmjs/tools-claim-checklist**: Extract checkable factual claims from text
|
||||
- **@tpmjs/tools-timeline-from-text**: Extract dated events and return normalized timeline
|
||||
|
||||
All tools are stub implementations ready for full logic implementation.
|
||||
|
||||
Also moved @tpmjs/createblogpost to packages/tools/official/ directory and set up blocks.yml for Blocks framework validation.
|
||||
|
|
|
|||
|
|
@ -19,6 +19,7 @@
|
|||
},
|
||||
"devDependencies": {
|
||||
"@tpmjs/tsconfig": "workspace:*",
|
||||
"@types/sbd": "^1.0.5",
|
||||
"tsup": "^8.3.5",
|
||||
"typescript": "^5.9.3"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -1,16 +1,43 @@
|
|||
import { jsonSchema, tool } from 'ai';
|
||||
/**
|
||||
* Timeline From Text Tool for TPMJS
|
||||
* Extracts dated events from unstructured text and returns a normalized timeline.
|
||||
*/
|
||||
|
||||
import { jsonSchema, tool } from 'ai';
|
||||
import * as chrono from 'chrono-node';
|
||||
import sbd from 'sbd';
|
||||
|
||||
/**
|
||||
* Individual event in the timeline
|
||||
*/
|
||||
export interface TimelineEvent {
|
||||
date: string; // ISO format
|
||||
dateDisplay: string; // Human-readable format
|
||||
description: string;
|
||||
confidence: number; // 0.0 to 1.0
|
||||
originalMention: string;
|
||||
dateType: 'specific' | 'partial' | 'relative' | 'range';
|
||||
}
|
||||
|
||||
/**
|
||||
* Output interface for timeline
|
||||
*/
|
||||
export interface Timeline {
|
||||
originalText: string;
|
||||
events: Array<{
|
||||
date: string; // ISO format
|
||||
description: string;
|
||||
confidence: number; // 0.0 to 1.0
|
||||
originalMention: string;
|
||||
}>;
|
||||
dateRange?: {
|
||||
events: TimelineEvent[];
|
||||
dateRange: {
|
||||
earliest: string;
|
||||
latest: string;
|
||||
} | null;
|
||||
gaps: Array<{
|
||||
from: string;
|
||||
to: string;
|
||||
durationDays: number;
|
||||
}>;
|
||||
metadata: {
|
||||
extractedAt: string;
|
||||
totalEvents: number;
|
||||
datesCovered: number; // Number of distinct dates
|
||||
};
|
||||
}
|
||||
|
||||
|
|
@ -18,9 +45,140 @@ type TimelineFromTextInput = {
|
|||
text: string;
|
||||
};
|
||||
|
||||
/**
|
||||
* Determine confidence based on date specificity
|
||||
*/
|
||||
function calculateConfidence(parsed: chrono.ParsedResult): number {
|
||||
const start = parsed.start;
|
||||
|
||||
// Full date with day, month, year = highest confidence
|
||||
if (start.isCertain('day') && start.isCertain('month') && start.isCertain('year')) {
|
||||
return 0.95;
|
||||
}
|
||||
|
||||
// Month and year = high confidence
|
||||
if (start.isCertain('month') && start.isCertain('year')) {
|
||||
return 0.8;
|
||||
}
|
||||
|
||||
// Just year = medium confidence
|
||||
if (start.isCertain('year')) {
|
||||
return 0.6;
|
||||
}
|
||||
|
||||
// Relative date (today, yesterday, last week) = lower confidence
|
||||
return 0.4;
|
||||
}
|
||||
|
||||
/**
|
||||
* Determine date type based on parsing
|
||||
*/
|
||||
function determineDateType(parsed: chrono.ParsedResult): TimelineEvent['dateType'] {
|
||||
const start = parsed.start;
|
||||
|
||||
if (parsed.end) {
|
||||
return 'range';
|
||||
}
|
||||
|
||||
if (start.isCertain('day') && start.isCertain('month') && start.isCertain('year')) {
|
||||
return 'specific';
|
||||
}
|
||||
|
||||
if (start.isCertain('year') && !start.isCertain('day')) {
|
||||
return 'partial';
|
||||
}
|
||||
|
||||
return 'relative';
|
||||
}
|
||||
|
||||
/**
|
||||
* Format date for display
|
||||
*/
|
||||
function formatDateDisplay(date: Date, dateType: TimelineEvent['dateType']): string {
|
||||
const options: Intl.DateTimeFormatOptions = {
|
||||
year: 'numeric',
|
||||
};
|
||||
|
||||
if (dateType === 'specific') {
|
||||
options.month = 'long';
|
||||
options.day = 'numeric';
|
||||
} else if (dateType === 'partial') {
|
||||
options.month = 'long';
|
||||
}
|
||||
|
||||
return date.toLocaleDateString('en-US', options);
|
||||
}
|
||||
|
||||
/**
|
||||
* Extract context around a date mention
|
||||
*/
|
||||
function extractContext(
|
||||
text: string,
|
||||
index: number,
|
||||
matchLength: number,
|
||||
sentences: string[]
|
||||
): string {
|
||||
// Find which sentence contains this date
|
||||
let charCount = 0;
|
||||
for (const sentence of sentences) {
|
||||
const sentenceStart = charCount;
|
||||
const sentenceEnd = charCount + sentence.length;
|
||||
|
||||
if (index >= sentenceStart && index < sentenceEnd) {
|
||||
return sentence.trim();
|
||||
}
|
||||
|
||||
charCount = sentenceEnd + 1; // +1 for space/newline
|
||||
}
|
||||
|
||||
// Fallback: extract surrounding text
|
||||
const contextStart = Math.max(0, index - 50);
|
||||
const contextEnd = Math.min(text.length, index + matchLength + 100);
|
||||
return text.substring(contextStart, contextEnd).trim();
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate gaps between events
|
||||
*/
|
||||
function calculateGaps(
|
||||
events: TimelineEvent[]
|
||||
): Array<{ from: string; to: string; durationDays: number }> {
|
||||
if (events.length < 2) return [];
|
||||
|
||||
const gaps: Array<{ from: string; to: string; durationDays: number }> = [];
|
||||
|
||||
for (let i = 0; i < events.length - 1; i++) {
|
||||
const current = events[i];
|
||||
const next = events[i + 1];
|
||||
|
||||
if (!current || !next) continue;
|
||||
|
||||
const currentDate = new Date(current.date);
|
||||
const nextDate = new Date(next.date);
|
||||
|
||||
const diffMs = nextDate.getTime() - currentDate.getTime();
|
||||
const diffDays = Math.floor(diffMs / (1000 * 60 * 60 * 24));
|
||||
|
||||
// Only report gaps of more than 30 days
|
||||
if (diffDays > 30) {
|
||||
gaps.push({
|
||||
from: current.date,
|
||||
to: next.date,
|
||||
durationDays: diffDays,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return gaps;
|
||||
}
|
||||
|
||||
/**
|
||||
* Timeline From Text Tool
|
||||
* Extracts dated events from text
|
||||
*/
|
||||
export const timelineFromTextTool = tool({
|
||||
description:
|
||||
'Extract dated events from text and return a normalized timeline with confidence scores per event',
|
||||
'Extract dated events from unstructured text and return a normalized, chronologically sorted timeline with confidence scores. Supports various date formats including specific dates, partial dates, and relative references.',
|
||||
inputSchema: jsonSchema<TimelineFromTextInput>({
|
||||
type: 'object',
|
||||
properties: {
|
||||
|
|
@ -33,16 +191,81 @@ export const timelineFromTextTool = tool({
|
|||
additionalProperties: false,
|
||||
}),
|
||||
async execute({ text }): Promise<Timeline> {
|
||||
// TODO: Implement with:
|
||||
// 1. Use chrono-node to parse dates from text
|
||||
// 2. Extract sentence context around each date
|
||||
// 3. Normalize dates to ISO format
|
||||
// 4. Assign confidence based on date specificity
|
||||
// Validate input
|
||||
if (!text || typeof text !== 'string') {
|
||||
throw new Error('Text is required and must be a string');
|
||||
}
|
||||
|
||||
if (text.trim().length === 0) {
|
||||
throw new Error('Text cannot be empty');
|
||||
}
|
||||
|
||||
// Split into sentences for context extraction
|
||||
const sentences: string[] = sbd.sentences(text, {
|
||||
newline_boundaries: true,
|
||||
preserve_whitespace: false,
|
||||
});
|
||||
|
||||
// Parse dates from text using chrono-node
|
||||
const parsedDates = chrono.parse(text);
|
||||
|
||||
// Convert to timeline events
|
||||
const events: TimelineEvent[] = [];
|
||||
const seenDates = new Set<string>();
|
||||
|
||||
for (const parsed of parsedDates) {
|
||||
const date = parsed.start.date();
|
||||
const isoDate = date.toISOString().split('T')[0] || '';
|
||||
const dateType = determineDateType(parsed);
|
||||
const confidence = calculateConfidence(parsed);
|
||||
|
||||
// Skip duplicate dates (keep first occurrence)
|
||||
if (seenDates.has(isoDate)) continue;
|
||||
seenDates.add(isoDate);
|
||||
|
||||
// Extract context around the date mention
|
||||
const description = extractContext(text, parsed.index, parsed.text.length, sentences);
|
||||
|
||||
events.push({
|
||||
date: isoDate,
|
||||
dateDisplay: formatDateDisplay(date, dateType),
|
||||
description,
|
||||
confidence,
|
||||
originalMention: parsed.text,
|
||||
dateType,
|
||||
});
|
||||
}
|
||||
|
||||
// Sort chronologically
|
||||
events.sort((a, b) => new Date(a.date).getTime() - new Date(b.date).getTime());
|
||||
|
||||
// Calculate date range
|
||||
const dateRange =
|
||||
events.length >= 2
|
||||
? {
|
||||
earliest: events[0]?.date || '',
|
||||
latest: events[events.length - 1]?.date || '',
|
||||
}
|
||||
: events.length === 1
|
||||
? {
|
||||
earliest: events[0]?.date || '',
|
||||
latest: events[0]?.date || '',
|
||||
}
|
||||
: null;
|
||||
|
||||
// Calculate gaps
|
||||
const gaps = calculateGaps(events);
|
||||
|
||||
return {
|
||||
originalText: text,
|
||||
events: [],
|
||||
dateRange: undefined,
|
||||
originalText: text.substring(0, 500) + (text.length > 500 ? '...' : ''),
|
||||
events,
|
||||
dateRange,
|
||||
gaps,
|
||||
metadata: {
|
||||
extractedAt: new Date().toISOString(),
|
||||
totalEvents: events.length,
|
||||
datesCovered: seenDates.size,
|
||||
},
|
||||
};
|
||||
},
|
||||
});
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue