feat: add conversation persistence and context management layer
- SQLAlchemy async database layer (SQLite dev, PostgreSQL prod) - Conversation and Message models with UUID primary keys - Token counting utilities using litellm - Context summarization at 80% token threshold - REST API endpoints for multi-turn conversations - 19 conversation tests, 6 token tests (176 total passing) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -7,6 +7,31 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [0.4.0] - 2026-01-11
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### Added
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- Conversation persistence layer with SQLAlchemy async
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- Database models: `Conversation`, `Message` with UUID primary keys
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- SQLite (dev) and PostgreSQL (prod) support via async engines
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- Lazy database initialization pattern
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- Context management infrastructure
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- Token counting utilities using `litellm`
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- Context summarization at 80% token threshold
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- XML-tagged context prompt building for agent injection
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- REST API for multi-turn conversations
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- `POST /conversations/` - Create new conversation
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- `GET /conversations/` - List conversations
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- `GET /conversations/{id}` - Get conversation with history
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- `POST /conversations/{id}/messages` - Add message (triggers agent)
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- `DELETE /conversations/{id}` - Delete conversation
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- New dependencies: `sqlalchemy[asyncio]~=2.0.36`, `aiosqlite~=0.21.0`, `litellm~=1.57.0`
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- Config settings: `database_url`, `summarization_threshold`, `keep_recent_messages`
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- 19 conversation tests, 6 token counting tests (176 total tests passing)
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### Changed
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- Updated COVERAGE.md to ~80% complete
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- Quieter pytest output (`-q --tb=short` instead of `-v`)
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## [0.3.4] - 2026-01-11
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### Added
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