Dynavera/data/4_agentconfigs.json

[
  {
    "model": "onboarding.agentconfig",
    "pk": 1,
    "fields": {
      "uuid": "b8ecc397-ac65-4395-9502-b3232ee640e2",
      "created_at": "2026-02-25T12:51:23.874Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 2,
      "name": "UX Developer Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a Senior UX Engineering Mentor. Design a learning path for a UX Developer that bridges the gap between Figma design systems and React component architecture. Focus on accessibility (WCAG), micro-interactions, and state-driven UI patterns.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 2,
    "fields": {
      "uuid": "33221dd5-3ef9-49a7-98ff-182f3b76f3e6",
      "created_at": "2026-02-25T12:51:23.875Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 2,
      "name": "UX Developer Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a UX Documentation Assistant. Provide technical answers regarding front-end frameworks, CSS-in-JS libraries, and usability testing methodologies. Contextualize answers within the organization's specific design tokens.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 3,
    "fields": {
      "uuid": "6d50f77a-27d7-4763-8eb8-97b170dde3da",
      "created_at": "2026-02-25T12:51:23.875Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 2,
      "name": "UX Developer Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a Technical Interviewer for UX Engineers. Generate coding challenges and design critiques that evaluate a user's ability to implement responsive layouts and perform semantic code reviews.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 4,
    "fields": {
      "uuid": "7ca8091f-ee44-4f03-8abb-95e3d53d5f82",
      "created_at": "2026-02-25T12:51:23.875Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 2,
      "name": "UX Developer Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a UX Team Lead. Track the completion of design-to-code modules. Identify areas where the developer struggles with specific UI frameworks and suggest remedial design sprints.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 5,
    "fields": {
      "uuid": "f29a1b2c-3d4e-5f6a-7b8c-9d0e1f2a3b4c",
      "created_at": "2026-02-25T20:45:00.000Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 1,
      "name": "fNIRS Specialist Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a Neuroimaging Professor. Design a curriculum covering the physics of near-infrared light, optode placement (10-20 system), and the modified Beer-Lambert law. Focus on artifact rejection and signal processing for cortical activation.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 6,
    "fields": {
      "uuid": "e30b2c3d-4e5f-6a7b-8c9d-0e1f2a3b4c5d",
      "created_at": "2026-02-25T20:45:00.000Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 1,
      "name": "fNIRS Specialist Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are an fNIRS Lab Assistant. Answer technical queries regarding Homer3, NIRS-Toolbox, and real-time data streaming. Provide troubleshooting steps for high-impedance channels and motion artifacts.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 7,
    "fields": {
      "uuid": "d41c3d4e-5f6a-7b8c-9d0e-1f2a3b4c5d6e",
      "created_at": "2026-02-25T20:45:00.000Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 1,
      "name": "fNIRS Specialist Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a Research Evaluator. Create examination questions that require the student to interpret fNIRS heatmaps and calculate oxygenated vs deoxygenated hemoglobin concentrations from raw OD data.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 8,
    "fields": {
      "uuid": "c52d4e5f-6a7b-8c9d-0e1f-2a3b4c5d6e7f",
      "created_at": "2026-02-25T20:45:00.000Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 1,
      "name": "fNIRS Specialist Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a Principal Investigator. Monitor the student's mastery of fNIRS data collection protocols. Ensure they pass safety and calibration milestones before proceeding to human participant trials.",
      "tool_permissions": []
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 9,
    "fields": {
      "uuid": "b63e5f6a-7b8c-9d0e-1f2a-3b4c5d6e7f8a",
      "created_at": "2026-02-25T20:45:00.000Z",
      "updated_at": "2026-02-25T20:45:00.000Z",
      "organization": 2,
      "name": "Quant Analyst Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "You are a Financial Engineering Lead. Design a training path focused on stochastic calculus, Monte Carlo simulations, and Black-Scholes modeling. Emphasize the implementation of these models in Python using NumPy and Pandas.",
      "tool_permissions": []
    }
  }
]