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-# Hospital Multi-Agent Simulation - Multi-Model LM Studio Version
-# Uses multiple specialized models for different agent roles
-#
-# MODELS IN USE:
-# - bio-medical-multimodal-llama-3-8b-v1-i1: Medical staff - specialized medical knowledge
-#
-# PROMPT: "A patient arrives with flu-like symptoms for a checkup"
-
-version: 0.1.0
-
-vars:
-  api_key: ${API_KEY}
-  base_url: ${BASE_URL}
-
-graph:
-  id: hospital_simulation_lmstudio_multimodel
-  description: |
-    Multi-model hospital simulation using specialized LLMs:
-    - Medical staff uses biomedical model for accurate medical responses
-    - Patients use general Qwen model for natural conversation
-    - Dynamic Execution: Simulates multiple parallel patients.
-    Optimized for 8B parameter models with reduced context and token limits.
-  
-  log_level: DEBUG
-  
-  # Memory stores - reduced size for local models
-  memory:
-    - name: nurse_memory
-      type: simple
-      config:
-        embedding:
-          provider: openai
-          base_url: ${BASE_URL}
-          api_key: ${API_KEY}
-          model: text-embedding-bge-reranker-v2-m3
-    
-    - name: patient_shared_memory
-      type: simple
-      config:
-        embedding:
-          provider: openai
-          base_url: ${BASE_URL}
-          api_key: ${API_KEY}
-          model: text-embedding-bge-reranker-v2-m3
-  
-  nodes:
-    # Input Processor
-    - id: InputProcessor
-      type: passthrough
-      name: Input Processor
-      config: {}
-
-    # Environment Coordinator (General Conversational Model)
-    - id: environment
-      name: Hospital Environment
-      type: agent
-      config:
-        role: |
-          Describe the hospital atmosphere in 1-2 sentences.
-          Focus on observable details and current mood.
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.5
-          max_tokens: 300
-      
-    # Patient Generator (Creates parallel scenarios)
-    - id: PatientGenerator
-      name: Patient Coordinator
-      type: agent
-      config:
-        role: |
-          You are a simulation coordinator. Based on the hospital atmosphere described, generate 3 distinct patient scenarios/personas.
-          
-          CRITICAL REQUIREMENT: Generate a mix of cases:
-          1. **Simple Case**: Clear, minor symptoms (e.g., Flu, sprain). Can be treated here.
-          2. **Complex Case (Hidden)**: Vague symptoms that seem minor but MIGHT be serious (e.g., "Indigestion" that is actually a heart attack, or "Headache" that is a stroke). THESE MUST REQUIRE BLOOD TESTS to reveal the truth.
-          
-          Format them exactly as follows, separated by double newlines:
-          
-          Name: [Name]
-          Symptoms: [Symptoms]
-          Personality: [Brief Personality]
-           Context: [Include the hospital atmosphere context]
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.7
-          max_tokens: 1000
-
-    # Router Node for Patient Regex Split
-    - id: PatientRouter
-      type: passthrough
-      name: Patient Router
-      config: {}
-
-    # Generic Patient Agent (Runs in Parallel)
-    - id: PatientAgent
-      name: Patient
-      type: agent
-      config:
-        role: |
-          You are a patient arriving at the hospital. 
-          Your persona is defined by the input text provided.
-          Act out this persona. Approach the nurse and state your problem clearly.
-          Keep it brief (1-2 sentences).
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.8
-          max_tokens: 300
-        memories:
-          - name: patient_shared_memory
-            top_k: 5
-            retrieve_stage:
-              - gen
-
-    # End Node (Diagnosis)
-    - id: Discharge
-      type: passthrough
-      name: Diagnosed and Discharged
-      config: {}
-      memories:
-        - name: nurse_memory
-          top_k: 5
-          retrieve_stage:
-            - gen
-
-     # Doctor Agent - Diagnosis
-    - id: DoctorDiagnosis
-      name: Dr. House (Diagnosis)
-      type: agent
-      config:
-        role: |
-          You are Dr. Gregory House. You are a brilliant, miserable, cynical genius.
-          You assume everyone lies. You treat the puzzle, not the patient.
-          Be sarcastic, brief, and cut through the noise.
-          
-          PHASE 2: DIAGNOSIS
-          Review the Test Results.
-          - If critical: "TRANSFER: ER immediately."
-          - If treatable: "DIAGNOSIS: [Full diagnosis and treatment]."
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.7
-          max_tokens: 500
-             
-    # Test Results Handler (Processes test orders sequentially)
-    - id: TestResultsHandler
-      name: Test Results Processor
-      type: agent
-      config:
-        role: |
-          You are a medical test processing system.
-          
-          Analyze the patient's symptoms and the doctor's test order.
-          - If the symptoms suggest a **Simple Case** (Flu, etc.), generate NORMAL or MILDLY ABNORMAL results.
-          - If the symptoms imply a **Complex/Hidden Case** (Chest pain, severe headache), generate CRITICAL/DANGEROUS results (e.g., "Troponin High", "Brain bleed on CT").
-          
-          Format: "Test Results: [Specific Data]"
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.5
-          max_tokens: 500
-
-    # Doctor Agent - Intake & Testing
-    - id: DoctorIntake
-      name: Dr. House (Intake)
-      type: agent
-      config:
-        role: |
-          You are Dr. Gregory House. You are a brilliant, miserable, cynical genius.
-          You assume everyone lies. You treat the puzzle, not the patient.
-          Be sarcastic, brief, and cut through the noise.
-          
-          PHASE 1: INTAKE & TESTING
-          1. Interview the patient (be sarcastic/brief).
-          2. MANDATORY: You MUST order a test for EVERY patient.
-          3. DO NOT DIAGNOSE YET. You can only "TEST:" or "QUESTION".
-          
-          Output Format:
-          - To ask info: "QUESTION: [Question]"
-          - To proceed: "TEST: [Test Name]"
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.7
-          max_tokens: 500
-        memories:
-          - name: nurse_memory
-            top_k: 5
-            retrieve_stage:
-              - gen
-
-    # Nurse Agent - Jackie (Biomedical Model)
-    - id: nurse
-      name: Nurse Jackie
-      type: agent
-      config:
-        role: |
-          You are Nurse Jackie, an empathetic but extremely busy triage nurse.
-          Speak professionally but warmly (e.g., "Honey," "Sweetie" is okay if appropriate).
-          Your goal is to calm patients down and get their basic info before sending them to the doctor.
-        
-        provider: openai
-        name: bio-medical-multimodal-llama-3-8b-v1-i1
-        # Using biomedical-specialized model for accurate medical knowledge
-        api_key: ${api_key}
-        base_url: ${base_url}
-        params:
-          temperature: 0.7
-          max_tokens: 300
-        memories:
-          - name: nurse_memory
-            top_k: 5
-            retrieve_stage:
-              - gen
-
-    # Transfer Node (Failure/Referral)
-    - id: ER Transfer
-      type: passthrough
-      name: Transferred to Specialist
-      config: {}
-
-  # ================== Interaction Flow ==================
-  edges:
-    # Scene initialization
-    - from: InputProcessor
-      to: environment
-      processor:
-        type: template
-        template: |
-          Scenario: {{task_prompt}}
-          
-          Describe the hospital atmosphere right now in 1-2 sentences.
-    
-    # Environment -> Generator
-    - from: environment
-      to: PatientGenerator
-      processor:
-        type: template
-        template: |
-          Hospital Atmosphere: {{input}}
-          
-          Generate 3 distinct, VIVID patient personas fitting this atmosphere.
-          Make them diverse in age, personality, and severity of symptoms.
-    
-    # Generator -> Router (Regex Split)
-    - from: PatientGenerator
-      to: PatientRouter
-      dynamic:
-        type: map
-        split:
-          type: regex
-          config:
-            pattern: "(?s)Name:.*?(?=(?:\\n\\nName:|$))"
-        config:
-          max_parallel: 5
-      processor:
-        type: template
-        template: "{{input}}"
-    
-    # Router -> Patient (Message Split)
-    - from: PatientRouter
-      to: PatientAgent
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 5 # Parallel Waiting Room
-      trigger: true
-      processor:
-        type: template
-        template: |
-          You are this person:
-          {{input}}
-          
-          You are currently standing at the hospital reception.
-          Approach Nurse Jackie and explain what's wrong. Be dramatic or quiet depending on your persona.
-          Don't use any "Action:" prefixes. Just speak naturally.
-    
-    # Patient -> Nurse
-    - from: PatientAgent
-      to: nurse
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 5
-      processor:
-        type: template
-        template: |
-          [Hospital Atmosphere: {{environment.output}}]
-          
-          Patient says: "{{input}}"
-          
-          Respond as Nurse Jackie. Adjust your demeanor to the hospital atmosphere.
-          Comfort them, check vitals briefly, then refer them to Dr. House for diagnosis.
-    
-    # Nurse -> DoctorIntake (Referral)
-    - from: nurse
-      to: DoctorIntake
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 1
-      processor:
-        type: template
-        template: |
-          [Current Hospital Situation: {{environment.output}}]
-          
-          Nurse Referral Note: {{input}}
-          
-          Dr. House, consider the hospital atmosphere in your approach.
-          Take this case, interview the patient. Remember: You MUST order a test eventually.
-
-    # DoctorIntake -> Patient (Loop)
-    - from: DoctorIntake
-      to: PatientAgent
-      condition:
-        type: keyword
-        config:
-          any: []
-          none: 
-            - "TEST:"
-            - "Chest X-Ray"
-            - "Blood Panel"
-            - "MRI"
-            - "CT"
-            - "Scan"
-          regex: []
-          case_sensitive: false
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 5
-      processor:
-        type: template
-        template: |
-          The Doctor says: "{{input}}"
-          
-          Answer him, but feel free to be intimidated or annoyed by his manner.
-
-    # Patient -> DoctorIntake (Loop Return)
-    - from: PatientAgent
-      to: DoctorIntake
-      condition:
-        type: keyword
-        config:
-          any:
-            - "The Doctor says:"
-          none: []
-          case_sensitive: false
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 1
-      processor:
-        type: template
-        template: |
-          Patient Answer: "{{input}}"
-          
-          Analyze this answer. 
-          - If you need more info, ASK another question.
-          - If you have a hypothesis, ORDER A TEST (TEST: [Name]).
-          - ONLY DIAGNOSE if you have test results and patient history.
-
-    # DoctorIntake -> TestResultsHandler (Mandatory Path)
-    - from: DoctorIntake
-      to: TestResultsHandler
-      condition:
-        type: keyword
-        config:
-          any:
-            - "TEST:"
-            - "Chest X-Ray"
-            - "Blood Panel"
-            - "MRI"
-            - "CT"
-            - "Scan"
-          none: []
-          case_sensitive: false
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 1
-      processor:
-        type: template
-        template: |
-          Test Order: {{input}}
-
-    # TestResultsHandler -> DoctorDiagnosis (Results Handoff)
-    - from: TestResultsHandler
-      to: DoctorDiagnosis
-      dynamic:
-        type: map
-        split:
-          type: message
-        config:
-          max_parallel: 1
-      processor:
-        type: template
-        template: |
-          Test Results: {{input}}
-          
-          Make your final decision. DIAGNOSIS or TRANSFER.
-
-    # DoctorDiagnosis -> Discharge
-    - from: DoctorDiagnosis
-      to: Discharge
-      condition:
-        type: keyword
-        config:
-          any:
-            - "DIAGNOSIS:"
-          none:
-            - "TRANSFER"
-            - "Transfer"
-      regex: []
-      case_sensitive: false
-      dynamic:
-        type: map
-        split:
-          type: json_path
-          config:
-            json_path: ""
-        config:
-          max_parallel: 5
-      processor:
-        type: template
-        template: |
-          Final Medical Report: {{input}}
-
-    # DoctorDiagnosis -> ER Transfer
-    - from: DoctorDiagnosis
-      to: ER Transfer
-      condition:
-        type: keyword
-        config:
-          any:
-            - "TRANSFER"
-            - "Transfer"
-          none: []
-      regex: []
-      case_sensitive: false
-      dynamic:
-        type: map
-        split:
-          type: json_path
-          config:
-            json_path: ""
-        config:
-          max_parallel: 5
-      processor:
-        type: template
-        template: |
-          Transfer Order: {{input}}
-  
-  initial_instruction: Describe the scenario for the hospital simulation (e.g., 'A busy COVID-19 morning in 2020'). The system will simulate multiple patients arriving in parallel.
-  start:
-    - InputProcessor
-  
-  end:
-    - Discharge
-    - ER Transfer