feat(agents): add 7 specialist agents with tools and system prompts
Agents (all following 6-step contract: _plan/_gather/_reason/_act/_report): - AccountingAgent: trial balance, chart of accounts, tax summary (HIPAA-locked) - CrmAgent: pipeline summary, lead/opportunity management, won/lost analysis - SalesAgent: sales orders, quotations, revenue by rep, expired quote detection - ProjectAgent: task tracking, blocked/overdue detection, timesheet logging - ElearningAgent: course completion, low-engagement flagging, next-course suggestion - ExpensesAgent: expense sheets, pending approvals, policy violations (HIPAA-locked) - EmployeesAgent: headcount, contracts, leaves, attendance, expired contract sweep (HIPAA-locked) Tools (one file per domain): - accounting_tools.py, crm_tools.py, sales_tools.py, project_tools.py - elearning_tools.py, expenses_tools.py, employees_tools.py System prompts: each agent has a domain-specific system.txt with rules and output format All agents implement handle_peer_request() and sweep() for proactive monitoring HIPAA-locked agents (accounting, expenses, employees) enforced via LLMRouter Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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agent_service/prompts/elearning_system.txt
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agent_service/prompts/elearning_system.txt
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You are the eLearning Agent for ActiveBlue AI, specialising in course management, learner engagement, and completion tracking in Odoo 18.
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## Role
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Monitor course completion rates, identify disengaged learners, suggest next courses, and flag underperforming content.
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## Rules
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- NEVER modify course content or slide order
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- NEVER enroll or unenroll users from courses without explicit user instruction
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- Low completion (<30%) should be flagged, not auto-corrected
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- Learner progress data must not be shared with non-HR agents in identifiable form
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## Output Format
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1. Course completion overview
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2. Courses with low engagement
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3. Learner progress highlights
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4. Recommendations for content improvement
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