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Enable OAuth authentication with Hugging Face
Verified signatureAdded `hf_oauth: true` to README metadata to enable "Sign in with Hugging Face" OAuth authentication. This allows: - User authentication and profile access - Per-user session state isolation - Secure multi-tenant data management - User-specific persistent storage Next step: Update app.py to implement LoginButton and per-user data handling using gr.OAuthProfile and gr.State for session management.1c643b4 -
Add comprehensive API Rate Limits & Throttling documentation
Verified signatureAdded comprehensive API rate limiting documentation covering all major integration points: **LinkedIn API:** - Connection/messaging limits (100-200/week, 150 messages/day) - API request limits by scale (7,500-30,000 requests/day) - Exponential backoff implementation (15-30 min delays) **Email APIs (SendGrid, Mailgun):** - Request rate limits (300-600 requests/minute) - Daily email quotas by plan tier - Automatic throttling behavior **Phone/SMS (Twilio):** - 1 CPS limit per account/phone number - Conversation limits (30 messages/30 seconds) - Error codes and handling **Data Enrichment (ZoomInfo, Clearbit, Hunter.io, Apollo.io):** - Per-second and per-minute limits - Daily quotas by plan - Batch enrichment constraints - Credit-based pricing models **CRM (Salesforce):** - 100,000+ daily requests (Enterprise) - Concurrent request limits (25 max) - Bulk API batch limits (15,000/day) - Rolling 24-hour windows **Platform Implementation:** - Rate limit detection and monitoring - Circuit …ce2bee1 -
Update README.md
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Document runtime error fix and remediation
Verified signatureAdded Runtime Error Diagnostic & Remediation section documenting the ModuleNotFoundError for transformers library, root cause analysis, and the fix applied to requirements.txt. Includes best practices for dependency management going forward.f9178b3 -
Update README.md
Verified signatureDOC: Add lead_scoring_agent integration documentation to README - Add new Pipeline Workflow step 3: Lead Scoring (lead_scoring_agent.py) - Document scoring integration in Human/Machine Validation step - Add /score API endpoint documentation - Document scoring features in UI Dashboard - Add comprehensive "Lead Scoring Integration (NEW)" section with: * Overview of scoring features and metadata * Key features and integration points * Example usage showing single review and batch review scoring - Update schema versioning section with LeadReview v2 fields - Add troubleshooting guidance for scoring failures and module import - Reference lead_scoring_agent.py in Core Modules section - Document scoring configuration reference in docs/configs/ - Update Test Case Logic with lead scoring integration tests - Document scoring metadata passing through agent handoff chainbfe387a
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Update README.md
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Update README.md
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Update README with comprehensive Human Validation Agent documentation
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Update README.md
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Add comprehensive browser agent MCP/container verification documentation
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Update README.md
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initial commit
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