Add a new /export/{company_name}/pdf endpoint that generates a formatted
PDF report using reportlab, including a summary table and all analysis
results. Add the corresponding frontend Export PDF button alongside the
existing Export CSV button on the Analysis page.
Closesleeworks-agents/SPARC#85
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add APScheduler-based background task that periodically re-analyzes
tracked companies and alerts on significant patent count changes.
- Add tracked_companies and alerts tables to database schema
- Add SPARC/scheduler.py with configurable interval and threshold
- Add admin endpoints: GET/POST/DELETE /admin/tracked, GET /admin/alerts
- Scheduler starts at app startup; interval via SCHEDULE_INTERVAL_HOURS
- Change threshold configurable via CHANGE_THRESHOLD_PERCENT env var
- apscheduler is optional; graceful fallback if not installed
Closesleeworks-agents/SPARC#22
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Introduce a StorageBackend abstraction (local filesystem and S3) for
patent PDF storage. When STORAGE_BACKEND=s3, PDFs are read/written via
boto3 to an S3-compatible bucket instead of the local filesystem.
- Add SPARC/storage.py with LocalStorageBackend and S3StorageBackend
- Update serp_api.py save_patents and parse_patent_pdf to use storage
- Add storage config vars to config.py and .env.example
- Add optional MinIO service to docker-compose.yml (--profile s3)
- Add boto3 to requirements.txt
Closesleeworks-agents/SPARC#38
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Change TokenPayload.sub type from int to str per JWT RFC 7519
- Add user_id property to TokenPayload for int conversion
- Update token creation to serialize user_id as string
- Update token consumers to use payload.user_id
- Change dashboard port from 3000 to 8080
- Add pydantic[email] for email validation
- Update default admin email to admin@sparc.dev🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Replace USE_DATABASE toggle with USE_CACHE for smarter LLM response handling:
- Add prompt hashing for efficient cache lookups
- Cache API responses in database to reduce token usage
- Always store responses for analytics (cache or fresh)
Add user authentication infrastructure:
- User table with bcrypt password hashing
- CRUD operations for user management
- Role-based access control (admin/user)
Dependencies: add bcrypt and PyJWT for auth
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add numpy to requirements.txt and configure flake.nix with zlib and
stdenv.cc.cc.lib to support C extension packages. Sets LD_LIBRARY_PATH
for proper runtime linking.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create interactive dashboard with company analysis page
- Add batch analysis with progress tracking and charts
- Include analytics page for historical data visualization
- Add system status monitoring
- Update requirements.txt with streamlit, plotly, pandas
- Document dashboard usage in README
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create REST API with endpoints for single and batch analysis
- Add async job support for long-running batch operations
- Implement job status tracking and listing endpoints
- Add 9 tests for API endpoints
- Update requirements.txt with fastapi, uvicorn, httpx
- Document API usage in README
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implements a database mode that stores LLM prompts and responses in PostgreSQL
instead of making API calls. This enables:
- Testing without consuming API credits
- Collecting analytics on usage patterns
- Development and debugging workflows
Changes:
- Added DatabaseClient class for PostgreSQL operations
- Modified LLMAnalyzer to support database/API mode toggle
- Added USE_DATABASE config flag to switch between modes
- Included Docker Compose setup for PostgreSQL
- Added utility scripts for database init and analytics viewing
- Comprehensive documentation in DATABASE_MODE.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Replace direct Anthropic API integration with OpenRouter to enable
more flexible LLM provider access while maintaining Claude 3.5 Sonnet.
Changes:
- Replace anthropic package with openai in requirements.txt
- Update config to use OPENROUTER_API_KEY instead of ANTHROPIC_API_KEY
- Migrate LLMAnalyzer from Anthropic client to OpenAI client with
OpenRouter base URL (https://openrouter.ai/api/v1)
- Update model identifier to OpenRouter format: anthropic/claude-3.5-sonnet
- Convert API calls from messages.create() to chat.completions.create()
- Update response parsing to match OpenAI format
- Rename API key parameter in CompanyAnalyzer from anthropic_api_key
to openrouter_api_key
- Update all tests to mock OpenAI client instead of Anthropic
- Fix client initialization to accept direct API key parameter
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implemented LLMAnalyzer class using Anthropic's Claude API for:
- Single patent content analysis
- Portfolio-wide analysis across multiple patents
- Configurable API key management via environment variables
Key features:
- Uses Claude 3.5 Sonnet for high-quality analysis
- Structured prompts for innovation assessment
- Token limits optimized per use case (1024 for single, 2048 for portfolio)
- Analyzes: innovation quality, market potential, strategic direction
Updated config.py to support ANTHROPIC_API_KEY environment variable.
Added comprehensive test suite (6 tests) covering:
- Initialization from config and direct API key
- Single patent analysis
- Portfolio analysis
- Token limit validation
All 19 tests passing.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Added pytest and pytest-mock to requirements.txt for testing infrastructure.
Created tests/ directory with comprehensive test coverage for:
- Text cleaning functions (figure references, whitespace, line numbers)
- Section extraction logic (abstract, claims, case sensitivity)
All 8 tests passing. This provides a foundation for test-driven
development as we continue building the LLM integration.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
agent-company
0xWheatyz