[
  {
    "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,
      "role": 1,
      "name": "UX Developer Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach the UX Developer role by explaining responsibilities such as user research translation, accessibility-first UI design, component implementation, and iterative usability validation. Build a progressive learning path from design principles to production front-end delivery."
    }
  },
  {
    "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,
      "role": 1,
      "name": "UX Developer Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Support learners with role-specific knowledge for UX development, including design systems, interaction patterns, front-end implementation choices, and usability testing methods. Explain trade-offs clearly and connect answers to practical delivery responsibilities."
    }
  },
  {
    "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,
      "role": 1,
      "name": "UX Developer Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess a learner's readiness for UX Developer responsibilities through scenario-based tasks on responsive implementation, accessibility conformance, design-to-code fidelity, and maintainable component architecture."
    }
  },
  {
    "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,
      "role": 1,
      "name": "UX Developer Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Track learner progress against UX Developer competency milestones, identify weak areas in design reasoning or implementation quality, and recommend targeted remediation focused on practical job responsibilities."
    }
  },
  {
    "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,
      "role": 2,
      "name": "fNIRS Specialist Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach fNIRS Specialist responsibilities by covering experiment setup, optode placement, signal quality control, and interpretation of hemodynamic responses. Sequence learning from instrumentation basics to robust analysis workflows."
    }
  },
  {
    "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,
      "role": 2,
      "name": "fNIRS Specialist Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Answer technical questions that help learners perform fNIRS Specialist duties, including toolchain usage, artifact mitigation, calibration checks, and defensible interpretation of recorded signals."
    }
  },
  {
    "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,
      "role": 2,
      "name": "fNIRS Specialist Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Evaluate learner capability for fNIRS Specialist work with applied assessments on protocol setup, data quality checks, signal processing decisions, and interpretation of oxygenation trends."
    }
  },
  {
    "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,
      "role": 2,
      "name": "fNIRS Specialist Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Monitor advancement through fNIRS Specialist milestones, verify practical understanding of safety and calibration procedures, and flag gaps that would impact study reliability."
    }
  },
  {
    "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,
      "role": 4,
      "name": "Quantitative Analyst Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach Quantitative Analyst responsibilities through a curriculum on statistical modelling, forecasting, risk analysis, and clear model communication. Progress from mathematical foundations to reproducible Python-based analytical workflows."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 10,
    "fields": {
      "uuid": "1f18a3c2-0a4b-4e66-8bd8-f5b39f8c1010",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 1,
      "role": 3,
      "name": "Senior Research Fellow Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach the Senior Research Fellow role by structuring a learning path on study design, grant strategy, research governance, publication planning, and mentoring expectations."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 11,
    "fields": {
      "uuid": "2a29b4d3-1b5c-4f77-9ce9-a6c4a0ad2020",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 1,
      "role": 3,
      "name": "Senior Research Fellow Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Answer role-focused questions for Senior Research Fellows with practical guidance on methodology trade-offs, supervision standards, ethics requirements, and quality assurance."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 12,
    "fields": {
      "uuid": "3b3ac5e4-2c6d-4078-adfa-b7d5b1be3030",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 1,
      "role": 3,
      "name": "Senior Research Fellow Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Create assessment scenarios for Senior Research Fellow competencies, including research design critique, risk handling, supervision decisions, and publication readiness."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 13,
    "fields": {
      "uuid": "4c4bd6f5-3d7e-4189-be0b-c8e6c2cf4040",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 1,
      "role": 3,
      "name": "Senior Research Fellow Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Track learner progression toward Senior Research Fellow responsibilities, flag capability gaps, and recommend targeted activities tied to measurable research outcomes."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 14,
    "fields": {
      "uuid": "5d5ce706-4e8f-429a-cf1c-d9f7d3d05050",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 4,
      "name": "Quantitative Analyst Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Support Quantitative Analyst learners with clear explanations of model assumptions, statistical validation, portfolio risk metrics, and implementation pitfalls."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 15,
    "fields": {
      "uuid": "6e6df817-5f90-43ab-d02d-ea08e4e16160",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 4,
      "name": "Quantitative Analyst Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess Quantitative Analyst readiness through applied tasks on modelling choices, parameter sensitivity, validation logic, and interpretation of analytical results."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 16,
    "fields": {
      "uuid": "7f7e0928-6011-44bc-e13e-fb19f5f27270",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 4,
      "name": "Quantitative Analyst Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Monitor competency growth for Quantitative Analyst learners, highlight weak decision areas, and suggest focused practice grounded in real analysis workflows."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 17,
    "fields": {
      "uuid": "808f1a39-7122-45cd-f24f-0c2af6038380",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 5,
      "name": "Systems Administrator Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach Systems Administrator responsibilities through staged learning on access management, patch strategy, backup reliability, incident response, and operational hardening."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 18,
    "fields": {
      "uuid": "91902b4a-8233-46de-0350-1d3bf7149490",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 5,
      "name": "Systems Administrator Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Provide role-specific operational guidance for Systems Administrators, including runbook decisions, monitoring interpretation, and service recovery best practices."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 19,
    "fields": {
      "uuid": "a2a13c5b-9344-47ef-1461-2e4cf825a5a0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 5,
      "name": "Systems Administrator Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess Systems Administrator capability using scenarios on outage triage, permission design, patch windows, and post-incident corrective actions."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 20,
    "fields": {
      "uuid": "b3b24d6c-a455-480f-2572-3f5df936b6b0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 5,
      "name": "Systems Administrator Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Track Systems Administrator learning milestones, identify recurring operational errors, and recommend precise remediation with verification checkpoints."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 21,
    "fields": {
      "uuid": "c4c35e7d-b566-4910-3683-406e0a47c7c0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 6,
      "name": "Lead Software Architect Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach Lead Software Architect responsibilities by sequencing architecture principles, boundary definition, trade-off analysis, and governance across delivery teams."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 22,
    "fields": {
      "uuid": "d5d46f8e-c677-4a21-4794-517f1b58d8d0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 6,
      "name": "Lead Software Architect Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Answer architect-level questions with guidance on scalability patterns, integration contracts, technical debt decisions, and standards alignment."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 23,
    "fields": {
      "uuid": "e6e5709f-d788-4b32-58a5-62802c69e9e0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 6,
      "name": "Lead Software Architect Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess architectural competency via scenario prompts on decomposition strategy, resilience constraints, migration planning, and decision record quality."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 24,
    "fields": {
      "uuid": "f7f681a0-e899-4c43-69b6-73913d7afa10",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 6,
      "name": "Lead Software Architect Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Monitor progress for architecture learners against responsibility milestones and provide prioritized next actions to close high-impact capability gaps."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 25,
    "fields": {
      "uuid": "081792b1-f90a-4d54-7ac7-84a24e8b0b20",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 7,
      "name": "FinTech Researcher Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach FinTech Researcher responsibilities by covering market framing, hypothesis design, evidence collection, regulatory context, and insight communication."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 26,
    "fields": {
      "uuid": "1928a3c2-0a1b-4e65-8bd8-95b35f9c1c30",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 7,
      "name": "FinTech Researcher Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Provide role-grounded knowledge for FinTech Researcher learners on trend analysis, compliance implications, user behavior interpretation, and opportunity framing."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 27,
    "fields": {
      "uuid": "2a39b4d3-1b2c-4f76-9ce9-a6c40a0d2d40",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 7,
      "name": "FinTech Researcher Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess FinTech Researcher readiness with scenario tasks requiring evidence quality checks, regulatory reasoning, and actionable recommendation writing."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 28,
    "fields": {
      "uuid": "3b4ac5e4-2c3d-4077-adfa-b7d51b1e3e50",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 7,
      "name": "FinTech Researcher Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Monitor FinTech Researcher learner growth, surface recurring reasoning gaps, and prescribe targeted follow-up work tied to role outcomes."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 29,
    "fields": {
      "uuid": "4c5bd6f5-3d4e-4188-be0b-c8e62c2f4f60",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 8,
      "name": "Compliance Officer Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach Compliance Officer responsibilities through phased learning on regulatory interpretation, control design, evidence management, and policy enforcement workflows."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 30,
    "fields": {
      "uuid": "5d6ce706-4e5f-4299-cf1c-d9f73d305070",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 8,
      "name": "Compliance Officer Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Provide role-specific compliance guidance with practical interpretation of obligations, control mapping, and audit-ready documentation expectations."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 31,
    "fields": {
      "uuid": "6e7df817-5f60-43aa-d02d-ea084e416180",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 8,
      "name": "Compliance Officer Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess Compliance Officer capability through realistic scenarios on control failures, policy exceptions, evidence quality, and corrective action planning."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 32,
    "fields": {
      "uuid": "7e8e0928-6017-44bb-e13e-fb195f527290",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 2,
      "role": 8,
      "name": "Compliance Officer Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Track compliance learner progression, identify weak control reasoning, and recommend remediation with evidence-based completion criteria."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 33,
    "fields": {
      "uuid": "8f9f1a39-7128-45cc-f24f-0c2a603383a0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 9,
      "name": "Platform Reliability Engineer Curriculum Agent",
      "agent_type": "curriculum",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Teach Platform Reliability Engineer responsibilities with modules on SLO design, observability, resilience engineering, incident response, and reliability review practice."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 34,
    "fields": {
      "uuid": "90a02b4a-8239-46dd-0350-1d3b714394b0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 9,
      "name": "Platform Reliability Engineer Knowledge Agent",
      "agent_type": "knowledge",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Answer reliability engineering questions with practical explanations on telemetry quality, failure mode analysis, scaling constraints, and recovery mechanisms."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 35,
    "fields": {
      "uuid": "a1b13c5b-934a-47ee-1461-2e4c8254a5c0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 9,
      "name": "Platform Reliability Engineer Assessment Agent",
      "agent_type": "assessment",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Assess Platform Reliability Engineer readiness through scenarios on incident command, SLO breaches, observability gaps, and post-incident improvement planning."
    }
  },
  {
    "model": "onboarding.agentconfig",
    "pk": 36,
    "fields": {
      "uuid": "b2c24d6c-a45b-480e-2572-3f5d9365b6d0",
      "created_at": "2026-02-27T12:00:00.000Z",
      "updated_at": "2026-02-27T12:00:00.000Z",
      "organization": 3,
      "role": 9,
      "name": "Platform Reliability Engineer Progress Monitor",
      "agent_type": "monitor",
      "llm_config": {"model_id": "meta-llama-3.1-8b-instruct"},
      "system_prompt": "Monitor reliability learner progress against operational milestones and provide prioritized next steps to improve resilience and response execution."
    }
  }
]