e2aa8031ff
Core AI runtime - New encoach.ai.agent + encoach.ai.tool models with M2M tool binding, graph topology (simple|plan_review_revise|rag|react), model + fallback, temperature, max_tokens, response_format, max_revisions, quality checks and system prompt fields. - services/agent_runtime.py compiles a langgraph.StateGraph per agent and caches the build per (key, write_date). Emits a structured trace (output, tool_calls, retrieval_hits, revisions, quality_issues, ms, model_used, fallback_used) and auto-falls-back on rate-limit/5xx. - services/agent_tools.py registers 11 tool handlers wrapping existing services: resources.search, rubric.fetch, outcomes.fetch, student.profile, quality.cefr_check, quality.ai_detect, quality.content_gate, course_plan.save (mutates), course_plan.save_materials (mutates), scoring.grade_writing, scoring.grade_speaking. - 7 default agents seeded via data/agents_defaults.xml: course_planner, course_week_materials, exam_generator, exercise_generator, lms_tutor, writing_grader, speaking_grader. - Feature flag encoach_ai.use_langgraph_runtime (default True). - encoach_ai_course pipeline now routes through AgentRuntime when on, legacy SDK path kept as fallback. Admin UI - /admin/ai/prompts is now a tabbed Agents | Tools | Prompts console. - AIAgentsPanel: card grid + config dialog (model/temp/graph/tools/ system prompt) + built-in Test Runner showing live trace. - AIToolsPanel: registry table with category badges, mutates flag, schema viewer, edit dialog. - New /api/ai/agents* and /api/ai/tools* controller (list/get/update/ test, list-tools, toggle-tool). - Sidebar label nav.aiPrompts -> nav.aiAgents (AI Agents and Tools). - EN + AR (RTL) translations for ~80 new keys. Smart Wizard pages - /admin/quick-setup hub + CourseWizard, CoursePlanWizard, RubricWizard, ExamStructureWizard step-by-step flows. - /admin/course-plans list + detail pages. - /teacher/quick-setup mirror. Full demo seed + 8-role E2E - seed_full_demo.py adds the 5 missing user_types (approver, corporate, mastercorporate, agent, developer), activates a 2-stage exam-approval workflow with one pending request, creates a GE1-aligned 12-week B1 course plan with 6 detailed Week-1 materials (reading 400w, writing, listening 4-min script, speaking, grammar present simple vs continuous, vocabulary), and inserts sample ai.log + ai.feedback rows. - reset_demo_passwords.py forces every demo login back to canonical passwords (admin123/teacher123/student123/approver123/corporate123/ master123/agent123/dev123). - e2e_full_scenario.py: 46/46 PASS read-only API smoke across all 8 roles, including a live LangGraph round-trip on writing_grader. - e2e_approval_chain.py: 6/6 PASS mutation E2E - approver approves stage 1, admin approves stage 2, linked encoach.exam.custom flips to status=published, verified via psql. Docs - docs/PROJECT_SUMMARY.md updated to 2026-04-25: new Latest events bullets, refreshed credentials table, full sections 22 (LangGraph runtime) and 23 (full demo seed + 8-role E2E). - docs/ENCOACH_FULL_DEMO_QA_REPORT.md added with credentials, per-endpoint PASS/FAIL, mutation chain proof, LangGraph live output. - backend/GE1 Course Outline_ Fall AY25-26.pdf vendored as the reference outline the GE1 plan/materials are aligned to. Dependencies - requirements.txt: langgraph>=0.2.0, langchain-core>=0.3.0. - encoach_ai/__manifest__.py: external_dependencies updated. Made-with: Cursor
28 lines
1.1 KiB
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28 lines
1.1 KiB
Plaintext
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db_user = yamenahmad
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db_password =
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db_host = localhost
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db_port = 5432
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db_name = encoach_v2
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dbfilter = ^encoach_v2$
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http_interface = 127.0.0.1
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http_port = 8069
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addons_path = /Users/yamenahmad/projects2026/odoo/odoo19/backend/custom_addons,/Users/yamenahmad/projects2026/odoo/odoo19/backend/openeducat_erp-19.0/openeducat_erp-19.0,/Users/yamenahmad/projects2026/odoo/odoo19/addons_extra,/Users/yamenahmad/projects2026/odoo/odoo19/addons_enterprise,/Users/yamenahmad/projects2026/odoo/odoo19/odoo/addons
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admin_passwd = admin123
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workers = 0
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max_cron_threads = 1
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; AI generation + module-submit can take >2 minutes on slow upstream calls.
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; Bumped to 10 min CPU / 15 min wall-clock so we stop hitting 504 on /api/exam/generation/submit.
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limit_time_cpu = 600
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limit_time_real = 900
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; Raise the multipart body ceiling so PDF/image resources and
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; "submit exam with all generated questions" (≈2-5 MB JSON) no longer fail
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; with HTTP 413. Default is 4 MB; 128 MB covers videos + bulk question JSON.
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limit_request = 134217728
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limit_memory_hard = 2684354560
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limit_memory_soft = 2147483648
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db_maxconn = 32
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data_dir = /tmp/odoo-data
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