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| from agents import Agent, Runner | |
| from pydantic import BaseModel, Field | |
| from typing import List | |
| from gemini_config import gemini_model | |
| import asyncio | |
| class Stage2ResearchPlan(BaseModel): | |
| clinical_queries: List[str] = Field(description="Clinical research queries (symptoms, progression)") | |
| genetic_queries: List[str] = Field(description="Genetic research queries (mutations, risk genes)") | |
| epidemiological_queries: List[str] = Field(description="Epidemiological queries (prevalence, risk factors)") | |
| omics_queries: List[str] = Field(description="Omics queries (genomics, proteomics data)") | |
| class PathophysiologyResearchPlan(BaseModel): | |
| pathophysiological_queries: List[str] = Field(description="Advanced pathophysiological queries based on disease and drug understanding") | |
| STAGE2_MANAGER_INSTRUCTIONS = """You are a Stage 2 Research Manager for drug repurposing research. | |
| Based on the user's answers to initial questions and preliminary findings, you need to create a comprehensive research plan. | |
| You will be provided with: | |
| 1. The original disease query | |
| 2. User's answers to clarifying questions | |
| 3. Initial research findings | |
| Your task is to generate specific search queries for four foundational research areas: | |
| 1. Clinical: symptoms, disease progression, clinical manifestations | |
| 2. Genetic: known mutations, risk genes, genetic factors | |
| 3. Epidemiological: prevalence, risk factors, demographics | |
| 4. Omics: genomics, proteomics, transcriptomics data | |
| Generate 2-3 specific, targeted queries for each area that will provide foundational insights into the disease. | |
| Note: Pathophysiological research will be conducted separately in Phase C after initial understanding is built. | |
| """ | |
| PATHOPHYSIOLOGY_MANAGER_INSTRUCTIONS = """You are a Pathophysiology Research Manager specializing in comprehensive molecular mechanism analysis. | |
| You will be provided with: | |
| 1. Disease understanding from Phase A (clinical, genetic, epidemiological, omics data) | |
| 2. Pharmacological landscape from Phase B (current drugs, targets, mechanisms) | |
| Your task is to generate specific pathophysiological research queries that integrate both disease and drug knowledge: | |
| - Molecular pathways involved in disease progression | |
| - Cellular mechanisms and dysfunction | |
| - Protein interactions and networks | |
| - Metabolic changes and disruptions | |
| - Tissue and organ-level pathological changes | |
| - How current drugs interact with these pathways | |
| - Pathway crosstalk and compensatory mechanisms | |
| - Potential intervention points for drug repurposing | |
| Generate 3-4 highly specific queries that will reveal comprehensive pathophysiological understanding for drug repurposing opportunities. | |
| """ | |
| stage2_manager = Agent( | |
| name="Stage 2 Manager", | |
| instructions=STAGE2_MANAGER_INSTRUCTIONS, | |
| model=gemini_model, | |
| output_type=Stage2ResearchPlan, | |
| ) | |
| pathophysiology_manager = Agent( | |
| name="Pathophysiology Manager", | |
| instructions=PATHOPHYSIOLOGY_MANAGER_INSTRUCTIONS, | |
| model=gemini_model, | |
| output_type=PathophysiologyResearchPlan, | |
| ) | |