harshalmore31 commited on
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Add token-optimized prompts to enhance efficiency and reduce latency in diagnostic processes

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  1. DOCS.md +1 -0
  2. README.md +1 -0
DOCS.md CHANGED
@@ -33,6 +33,7 @@
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  - **Robust Error Handling**: Comprehensive exception management and fallback mechanisms
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  - **Beautiful Logging**: Structured logging with Loguru for debugging and monitoring
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  - **Type Safety**: Full Pydantic models and type hints throughout
 
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  ## πŸ— Architecture
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  - **Robust Error Handling**: Comprehensive exception management and fallback mechanisms
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  - **Beautiful Logging**: Structured logging with Loguru for debugging and monitoring
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  - **Type Safety**: Full Pydantic models and type hints throughout
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+ - **Token-Optimized Prompts**: Compact, role-specific directives minimize token usage while preserving diagnostic quality
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  ## πŸ— Architecture
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README.md CHANGED
@@ -15,6 +15,7 @@ MAI-DxO (MAI Diagnostic Orchestrator) is a sophisticated AI-powered diagnostic s
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  - **Cost Tracking**: Real-time budget monitoring with costs for 25+ medical tests.
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  - **Clinical Evaluation**: 5-point accuracy scoring with detailed feedback.
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  - **Model Agnostic**: Works with GPT, Gemini, Claude, and other leading LLMs.
 
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  ## πŸš€ Quick Start
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  - **Cost Tracking**: Real-time budget monitoring with costs for 25+ medical tests.
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  - **Clinical Evaluation**: 5-point accuracy scoring with detailed feedback.
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  - **Model Agnostic**: Works with GPT, Gemini, Claude, and other leading LLMs.
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+ - **Token-Optimized Prompts**: Ultra-compact role prompts reduce token usage and latency without sacrificing reasoning quality.
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  ## πŸš€ Quick Start
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