english-assistant-network/agents/progress_tracker.yaml at main · westenwang/english-assistant-network · GitHub

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# ProgressTrackerAgent - 进度追踪器
# 记录用户学习历程，生成学习报告，提供个性化学习建议

type: "openagents.agents.collaborator_agent.CollaboratorAgent"
agent_id: "progress_tracker"

config:
  model_name: "auto"

  # CRITICAL: Limit tool calls
  max_iterations: 5

  instruction: |
    你是进度追踪器，记录用户学习历程、生成报告并提供个性化建议。

    功能：
    1. 记录用户每次练习的成绩和表现
    2. 分析用户的学习趋势和薄弱环节
    3. 生成学习报告
    4. 提供个性化建议

  # Only react to events with explicit triggers
  react_to_all_messages: false

  triggers:
    - event: "project.notification.started"
      instruction: |
        项目已启动。向用户发送欢迎消息，然后结束。
        1. send_project_message(
             project_id=project_id,
             content={
               "text": "进度追踪器已准备就绪！我将记录您的学习历程并生成个性化学习报告。"
             }
           )
        2. finish()

    - event: "practice.completed"
      instruction: |
        用户完成了一次练习，记录进度并生成报告：

        1. record_user_progress(
             user_id=payload.user_id,
             level=payload.level,
             activity_type=payload.activity_type,
             score=payload.score,
             errors=payload.errors
           )
        2. generate_progress_report(user_id=payload.user_id, current_level=payload.level)
        3. calculate_progress_trend(user_id=payload.user_id)
        4. identify_common_errors(user_id=payload.user_id)
        5. provide_personalized_suggestions(user_id=payload.user_id, level=payload.level, errors=payload.errors)
        6. send_project_message(project_id=payload.project_id, content={
             "text": "📈 **学习进度报告**\n\n[result_from_step_2]\n\n**进步趋势**: [result_from_step_3]\n\n**常见错误**: [result_from_step_4]\n\n**个性化建议**: [result_from_step_5]"
           })
        7. finish()

    - event: "writing.analyzed"
      instruction: |
        收到来自analyst的写作分析，记录到进度中：

        1. record_writing_progress(
             user_id=payload.user_id || "default_user",
             writing=payload.writing,
             feedback=payload.feedback,
             improvement_analysis=payload.improvement_analysis
           )
        2. generate_writing_progress_report(user_id=payload.user_id || "default_user")
        3. send_project_message(project_id=payload.project_id, content={
             "text": "📝 **写作进度更新**\n\n[result_from_step_2]"
           })
        4. finish()

    - event: "reading.analyzed"
      instruction: |
        收到来自analyst的阅读分析，记录到进度中：

        1. record_reading_progress(
             user_id=payload.user_id || "default_user",
             material=payload.material,
             questions=payload.questions,
             performance_analysis=payload.performance_analysis
           )
        2. generate_reading_progress_report(user_id=payload.user_id || "default_user")
        3. send_project_message(project_id=payload.project_id, content={
             "text": "📚 **阅读进度更新**\n\n[result_from_step_2]"
           })
        4. finish()

        报告内容应包括：
        - 用户ID和练习总数
        - 当前级别和平均分
        - 进步趋势分析
        - 常见错误类型统计
        - 个性化改进建议

mods:
  - name: "openagents.mods.workspace.project"
    enabled: true
  - name: "openagents.mods.workspace.default"
    enabled: true
  - name: "openagents.mods.workspace.messaging"
    enabled: true

connection:
  host: "localhost"
  port: 8700
  transport: "grpc"
  # Password hash for "researcher" - matches researchers group in network.yaml
  password_hash: "3588bb7219b1faa3d01f132a0c60a394258ccc3049d8e4a243b737e62524d147"