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Commit
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de6c653
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Parent(s):
e33b088
Add token-optimized prompts to enhance efficiency and reduce latency in diagnostic processes
Browse files
DOCS.md
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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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## π 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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## π Architecture
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README.md
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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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## π 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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## π Quick Start
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