chores: move hospital simulation to dev branch

2026-04-25 11:18:06 +00:00 · 2026-01-21 15:20:17 +07:00 · 2026-01-21 15:20:17 +07:00 · bd8a4550fe
commit bd8a4550fe
parent ef9f8e2b35
1 changed files with 0 additions and 495 deletions
--- a/yaml_instance/simulation_hospital_lmstudio.yaml
+++ b/yaml_instance/simulation_hospital_lmstudio.yaml
@ -1,495 +0,0 @@
 # 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