48 lines
3.3 KiB
Markdown
48 lines
3.3 KiB
Markdown
# Technology Stack: Manual Slop
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## Core Language
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- **Python 3.11+**
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## GUI Frameworks
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- **Dear PyGui:** For immediate/retained mode GUI rendering and node mapping.
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- **ImGui Bundle (`imgui-bundle`):** To provide advanced multi-viewport and dockable panel capabilities on top of Dear ImGui.
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## Web & Service Frameworks
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- **FastAPI:** High-performance REST API framework for providing the headless backend service.
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- **Uvicorn:** ASGI server for serving the FastAPI application.
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## AI Integration SDKs
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- **google-genai:** For Google Gemini API interaction and explicit context caching.
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- **anthropic:** For Anthropic Claude API interaction, supporting ephemeral prompt caching.
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- **DeepSeek (Dedicated SDK):** Integrated for high-performance codegen and reasoning (Phase 2).
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- **Gemini CLI:** Integrated as a headless backend provider, utilizing a custom subprocess adapter and bridge script for tool execution control. Achieves full functional parity with direct SDK usage, including real-time token counting and detailed subprocess observability.
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- **Gemini 3.1 Pro Preview:** Tier 1 Orchestrator model for complex reasoning.
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- **Gemini 2.5 Flash:** High-performance, low-latency model for Tier 2 Tech Lead, Tier 3 Workers, and Tier 4 QA.
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- **DeepSeek-V3:** Tier 3 Worker model optimized for code implementation.
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- **DeepSeek-R1:** Specialized reasoning model for complex logical chains and "thinking" traces.
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## Configuration & Tooling
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- **ast (Standard Library):** For deterministic AST parsing and automated generation of curated "Skeleton Views" (signatures and docstrings) to minimize context bloat for sub-agents.
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- **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration.
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- **tomli-w:** For writing TOML configuration files.
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- **tomllib:** For native TOML parsing (Python 3.11+).
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- **LogRegistry & LogPruner:** Custom components for session metadata persistence and automated filesystem cleanup.
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- **psutil:** For system and process monitoring (CPU/Memory telemetry).
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- **uv:** An extremely fast Python package and project manager.
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- **pytest:** For unit and integration testing, leveraging custom fixtures for live GUI verification.
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- **ApiHookClient:** A dedicated IPC client for automated GUI interaction and state inspection.
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- **mma-exec / mma.ps1:** Python-based execution engine and PowerShell wrapper for managing the 4-Tier MMA hierarchy and automated documentation mapping.
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- **dag_engine.py:** A native Python utility implementing `TrackDAG` and `ExecutionEngine` for dependency resolution, cycle detection, and programmable task execution loops.
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## Architectural Patterns
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- **Event-Driven Metrics:** Uses a custom `EventEmitter` to decouple API lifecycle events from UI rendering, improving performance and responsiveness.
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- **Asynchronous Event Bus:** Employs an `AsyncEventQueue` based on `asyncio.Queue` to manage the communication between the UI and the backend multi-agent orchestrator without blocking.
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- **Synchronous IPC Approval Flow:** A specialized bridge mechanism that allows headless AI providers (like Gemini CLI) to synchronously request and receive human approval for tool calls via the GUI's REST API hooks.
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- **Interface-Driven Development (IDD):** Enforces a "Stub-and-Resolve" pattern where cross-module dependencies are resolved by generating signatures/contracts before implementation.
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