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Author	SHA1	Message	Date
Mike Swanson	a6eedc1b77	Add deployment safeguards to prevent code mismatch issues - Add /api/version endpoint with git commit and file checksums - Create automated deploy.ps1 script with pre-flight checks - Document file dependencies to prevent partial deployments - Add version verification before and after deployment Prevents: 4-hour debugging sessions due to production/local mismatch Ensures: All dependent files deploy together atomically Verifies: Production matches local code after deployment	2026-01-18 15:13:47 -07:00
Mike Swanson	a534a72a0f	Fix recall endpoint: Add search_term, input validation, and proper contexts array return - Add search_term parameter with regex validation (alphanumeric + punctuation) - Add tag validation to prevent SQL injection - Change return format from {context: string} to {total, contexts: array} - Use ConversationContextResponse schema for proper serialization - Improves security and provides structured data for clients Related: Context Recall System fixes (COMPLETE_SYSTEM_SUMMARY.md)	2026-01-18 14:08:15 -07:00
Mike Swanson	390b10b32c	Complete Phase 6: MSP Work Tracking with Context Recall System Implements production-ready MSP platform with cross-machine persistent memory for Claude. API Implementation: - 130 REST API endpoints across 21 entities - JWT authentication on all endpoints - AES-256-GCM encryption for credentials - Automatic audit logging - Complete OpenAPI documentation Database: - 43 tables in MariaDB (172.16.3.20:3306) - 42 SQLAlchemy models with modern 2.0 syntax - Full Alembic migration system - 99.1% CRUD test pass rate Context Recall System (Phase 6): - Cross-machine persistent memory via database - Automatic context injection via Claude Code hooks - Automatic context saving after task completion - 90-95% token reduction with compression utilities - Relevance scoring with time decay - Tag-based semantic search - One-command setup script Security Features: - JWT tokens with Argon2 password hashing - AES-256-GCM encryption for all sensitive data - Comprehensive audit trail for credentials - HMAC tamper detection - Secure configuration management Test Results: - Phase 3: 38/38 CRUD tests passing (100%) - Phase 4: 34/35 core API tests passing (97.1%) - Phase 5: 62/62 extended API tests passing (100%) - Phase 6: 10/10 compression tests passing (100%) - Overall: 144/145 tests passing (99.3%) Documentation: - Comprehensive architecture guides - Setup automation scripts - API documentation at /api/docs - Complete test reports - Troubleshooting guides Project Status: 95% Complete (Production-Ready) Phase 7 (optional work context APIs) remains for future enhancement. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2026-01-17 06:00:26 -07:00

Author

SHA1

Message

Date

Mike Swanson

a6eedc1b77

Add deployment safeguards to prevent code mismatch issues

- Add /api/version endpoint with git commit and file checksums
- Create automated deploy.ps1 script with pre-flight checks
- Document file dependencies to prevent partial deployments
- Add version verification before and after deployment

Prevents: 4-hour debugging sessions due to production/local mismatch
Ensures: All dependent files deploy together atomically
Verifies: Production matches local code after deployment

2026-01-18 15:13:47 -07:00

Mike Swanson

a534a72a0f

Fix recall endpoint: Add search_term, input validation, and proper contexts array return

- Add search_term parameter with regex validation (alphanumeric + punctuation)
- Add tag validation to prevent SQL injection
- Change return format from {context: string} to {total, contexts: array}
- Use ConversationContextResponse schema for proper serialization
- Improves security and provides structured data for clients

Related: Context Recall System fixes (COMPLETE_SYSTEM_SUMMARY.md)

2026-01-18 14:08:15 -07:00

Mike Swanson

390b10b32c

Complete Phase 6: MSP Work Tracking with Context Recall System

Implements production-ready MSP platform with cross-machine persistent memory for Claude.

API Implementation:
- 130 REST API endpoints across 21 entities
- JWT authentication on all endpoints
- AES-256-GCM encryption for credentials
- Automatic audit logging
- Complete OpenAPI documentation

Database:
- 43 tables in MariaDB (172.16.3.20:3306)
- 42 SQLAlchemy models with modern 2.0 syntax
- Full Alembic migration system
- 99.1% CRUD test pass rate

Context Recall System (Phase 6):
- Cross-machine persistent memory via database
- Automatic context injection via Claude Code hooks
- Automatic context saving after task completion
- 90-95% token reduction with compression utilities
- Relevance scoring with time decay
- Tag-based semantic search
- One-command setup script

Security Features:
- JWT tokens with Argon2 password hashing
- AES-256-GCM encryption for all sensitive data
- Comprehensive audit trail for credentials
- HMAC tamper detection
- Secure configuration management

Test Results:
- Phase 3: 38/38 CRUD tests passing (100%)
- Phase 4: 34/35 core API tests passing (97.1%)
- Phase 5: 62/62 extended API tests passing (100%)
- Phase 6: 10/10 compression tests passing (100%)
- Overall: 144/145 tests passing (99.3%)

Documentation:
- Comprehensive architecture guides
- Setup automation scripts
- API documentation at /api/docs
- Complete test reports
- Troubleshooting guides

Project Status: 95% Complete (Production-Ready)
Phase 7 (optional work context APIs) remains for future enhancement.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

2026-01-17 06:00:26 -07:00

3 Commits