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Add detailed file index and enhance skill documentation for autopilot, decompose, deploy, plan, and research skills. Introduce tests-only mode in decompose skill, clarify required files for deploy and plan skills, and improve prerequisite checks across skills for better user guidance and workflow efficiency.
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# Component Relationship Diagram
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```mermaid
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graph TD
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subgraph "04 - API Layer"
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API["main.py<br/>(FastAPI endpoints, DTOs, SSE, TokenManager)"]
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end
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subgraph "03 - Inference Pipeline"
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INF["inference<br/>(orchestrator, preprocessing, postprocessing)"]
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LDR["loader_http_client<br/>(model download/upload)"]
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end
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subgraph "02 - Inference Engines"
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IE["inference_engine<br/>(abstract base)"]
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ONNX["onnx_engine<br/>(ONNX Runtime)"]
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TRT["tensorrt_engine<br/>(TensorRT + conversion)"]
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end
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subgraph "01 - Domain"
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CONST["constants_inf<br/>(constants, logging, class registry)"]
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ANNOT["annotation<br/>(Detection, Annotation)"]
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AICFG["ai_config<br/>(AIRecognitionConfig)"]
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STATUS["ai_availability_status<br/>(AIAvailabilityStatus)"]
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end
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subgraph "External Services"
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LOADER["Loader Service<br/>(http://loader:8080)"]
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ANNSVC["Annotations Service<br/>(http://annotations:8080)"]
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end
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API --> INF
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API --> CONST
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API --> LDR
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API --> ANNSVC
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INF --> ONNX
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INF --> TRT
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INF --> LDR
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INF --> CONST
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INF --> ANNOT
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INF --> AICFG
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INF --> STATUS
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ONNX --> IE
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ONNX --> CONST
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TRT --> IE
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TRT --> CONST
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STATUS --> CONST
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ANNOT --> CONST
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LDR --> LOADER
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```
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## Component Summary
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| # | Component | Modules | Purpose |
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|---|-----------|---------|---------|
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| 01 | Domain | constants_inf, ai_config, ai_availability_status, annotation | Shared data models, enums, constants, logging |
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| 02 | Inference Engines | inference_engine, onnx_engine, tensorrt_engine | Pluggable ML inference backends |
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| 03 | Inference Pipeline | inference, loader_http_client | Orchestration: engine lifecycle, preprocessing, postprocessing, media processing |
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| 04 | API | main | HTTP API, SSE streaming, auth token management |
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