[ { "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": "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.", "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": "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.", "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": "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.", "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": "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.", "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": "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.", "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": "Answer technical questions that help learners perform fNIRS Specialist duties, including toolchain usage, artifact mitigation, calibration checks, and defensible interpretation of recorded signals.", "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": "Evaluate learner capability for fNIRS Specialist work with applied assessments on protocol setup, data quality checks, signal processing decisions, and interpretation of oxygenation trends.", "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": "Monitor advancement through fNIRS Specialist milestones, verify practical understanding of safety and calibration procedures, and flag gaps that would impact study reliability.", "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": "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.", "tool_permissions": [] } } ]