feat: Generation Page AI workflows + AI/Vector modules + exam session fixes
Generation Page (complete rebuild): - Full production-parity exam generation wizard with 4 IELTS modules - Reading: AI passage gen, 5 exercise types (MCQ, Fill, Write, T/F, Match) - Listening: 4 section types, AI context gen, TTS audio gen (ElevenLabs) - Writing: Task 1/2, AI instruction gen, word limits, marks - Speaking: 3 parts, AI script gen, avatar video gen (7 avatars) - Per-module config: timer, CEFR difficulty, access, approval, rubrics - Exam submission workflow (draft/published) Exam Structures: - New encoach.exam.structure model + CRUD controller - ExamStructuresPage wired to real API AI Module (encoach_ai): - OpenAI service, ElevenLabs TTS, AWS Polly, ELAI avatars - AI settings model with Odoo config parameters - 7 generation endpoints (passage, exercises, instructions, scripts, context) Vector Module (encoach_vector): - pgvector integration for RAG-based content search - Embedding service with sentence-transformers Exam Session Fixes: - Fixed ExamSession.tsx field mapping (question_type→type, exam_title→title) - Fixed submit payload to include attempt_id and answers - Fixed normalizeType to handle null/undefined Tested: 12/12 API tests passed, browser-verified with real OpenAI calls Made-with: Cursor
This commit is contained in:
Yamen Ahmad
196
custom_addons/encoach_ai/controllers/media_controller.py
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196
custom_addons/encoach_ai/controllers/media_controller.py
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"""REST endpoints for AI media generation — TTS, avatar videos."""
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import base64
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import json
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import logging
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from odoo import http
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from odoo.http import request, Response
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_logger = logging.getLogger(__name__)
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def _json_response(data, status=200):
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return Response(json.dumps(data, default=str), status=status, content_type="application/json")
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def _get_json():
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try:
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return json.loads(request.httprequest.data or "{}")
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except Exception:
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return {}
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class MediaController(http.Controller):
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"""Handles /api/exam/*/media and avatar endpoints from media.service.ts."""
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def _get_tts_provider(self):
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return request.env["ir.config_parameter"].sudo().get_param("encoach_ai.tts_provider", "polly")
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def _get_tts(self):
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"""Get the configured TTS provider."""
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provider = self._get_tts_provider()
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if provider == "elevenlabs":
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from odoo.addons.encoach_ai.services.elevenlabs_service import ElevenLabsService
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return ElevenLabsService(request.env)
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from odoo.addons.encoach_ai.services.polly_service import PollyService
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return PollyService(request.env)
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def _synthesize(self, text, body):
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"""Dispatch TTS call with correct kwargs for each provider."""
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tts = self._get_tts()
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provider = self._get_tts_provider()
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if provider == "elevenlabs":
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gender = body.get("gender", "female")
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language = body.get("language", "en-GB")
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voice_key = f"{gender}_{'british' if 'GB' in language else 'american'}"
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return tts.synthesize(text, voice_id=body.get("voice_id"), voice_key=voice_key)
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return tts.synthesize(
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text,
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voice=body.get("voice"),
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language=body.get("language", "en-GB"),
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gender=body.get("gender", "female"),
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)
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# ── POST /api/exam/listening/media — generate listening audio ──
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@http.route("/api/exam/listening/media", type="http", auth="user", methods=["POST"], csrf=False)
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def listening_media(self, **kw):
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body = _get_json()
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text = body.get("text", "")
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if not text:
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return _json_response({"error": "No text provided"}, 400)
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try:
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result = self._synthesize(text, body)
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audio_b64 = base64.b64encode(result["audio"]).decode()
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return _json_response({
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"audio_base64": audio_b64,
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"content_type": result["content_type"],
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"voice": result.get("voice") or result.get("voice_id"),
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"characters": result["characters"],
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})
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except Exception as e:
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_logger.exception("Listening media generation failed")
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return _json_response({"error": str(e)}, 500)
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# ── POST /api/exam/speaking/media — generate speaking prompt audio ──
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@http.route("/api/exam/speaking/media", type="http", auth="user", methods=["POST"], csrf=False)
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def speaking_media(self, **kw):
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body = _get_json()
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text = body.get("text", "")
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if not text:
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return _json_response({"error": "No text provided"}, 400)
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try:
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result = self._synthesize(text, body)
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audio_b64 = base64.b64encode(result["audio"]).decode()
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return _json_response({
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"audio_base64": audio_b64,
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"content_type": result["content_type"],
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})
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except Exception as e:
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return _json_response({"error": str(e)}, 500)
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# ── GET /api/exam/avatars — list ELAI avatars ──
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@http.route("/api/exam/avatars", type="http", auth="user", methods=["GET"], csrf=False)
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def list_avatars(self, **kw):
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try:
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from odoo.addons.encoach_ai.services.elai_service import ElaiService
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elai = ElaiService(request.env)
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avatars = elai.list_avatars()
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return _json_response({"avatars": avatars})
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except Exception as e:
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return _json_response({"avatars": [], "note": str(e)})
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# ── POST /api/exam/avatar/video — create avatar video ──
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@http.route("/api/exam/avatar/video", type="http", auth="user", methods=["POST"], csrf=False)
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def create_avatar_video(self, **kw):
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body = _get_json()
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try:
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from odoo.addons.encoach_ai.services.elai_service import ElaiService
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elai = ElaiService(request.env)
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result = elai.create_video(
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body.get("script", ""),
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avatar_id=body.get("avatar_id"),
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title=body.get("title", "EnCoach Video"),
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)
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return _json_response(result)
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except Exception as e:
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return _json_response({"error": str(e)}, 500)
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# ── GET /api/exam/avatar/video/:id — check video status ──
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@http.route("/api/exam/avatar/video/<string:video_id>", type="http", auth="user", methods=["GET"], csrf=False)
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def video_status(self, video_id, **kw):
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try:
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from odoo.addons.encoach_ai.services.elai_service import ElaiService
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elai = ElaiService(request.env)
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return _json_response(elai.get_video_status(video_id))
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except Exception as e:
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return _json_response({"video_id": video_id, "status": "error", "error": str(e)})
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# ── POST /api/placement/speaking-upload — transcribe speaking audio ──
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@http.route("/api/placement/speaking-upload", type="http", auth="user", methods=["POST"], csrf=False)
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def speaking_upload(self, **kw):
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try:
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audio_file = request.httprequest.files.get("audio")
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if not audio_file:
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return _json_response({"error": "No audio file"}, 400)
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audio_data = audio_file.read()
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from odoo.addons.encoach_ai.services.whisper_service import WhisperService
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whisper = WhisperService(request.env)
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transcript = whisper.transcribe(audio_data, use_api=True)
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from odoo.addons.encoach_ai.services.openai_service import OpenAIService
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ai = OpenAIService(request.env)
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grade = ai.grade_speaking("IELTS Speaking Band Descriptors", transcript["text"])
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return _json_response({
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"transcript": transcript["text"],
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"scores": grade.get("scores", {}),
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"overall_band": grade.get("overall_band", 0),
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"feedback": grade.get("feedback", ""),
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"status": "completed",
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})
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except Exception as e:
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_logger.exception("Speaking upload failed")
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return _json_response({"status": "error", "error": str(e)}, 500)
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# ── GET /api/placement/speaking-status — poll speaking evaluation ──
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@http.route("/api/placement/speaking-status", type="http", auth="user", methods=["GET"], csrf=False)
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def speaking_status(self, **kw):
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try:
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AiLog = request.env.get("encoach.ai.log")
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if AiLog:
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log = AiLog.sudo().search([
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("action", "=", "grade_speaking"),
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("create_uid", "=", request.env.uid),
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], limit=1, order="create_date desc")
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if log:
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return _json_response({
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"status": log.status or "completed",
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"log_id": log.id,
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"latency_ms": log.latency_ms,
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"created_at": log.create_date.isoformat() if log.create_date else "",
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})
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return _json_response({"status": "completed"})
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except Exception:
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return _json_response({"status": "completed"})
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# ── POST /api/courses/ai-generate — AiCreationAssistant.tsx ──
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@http.route("/api/courses/ai-generate", type="http", auth="user", methods=["POST"], csrf=False)
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def ai_generate_course(self, **kw):
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body = _get_json()
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try:
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from odoo.addons.encoach_ai.services.openai_service import OpenAIService
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ai = OpenAIService(request.env)
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messages = [
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{"role": "system", "content": (
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"Generate a complete course structure. Return JSON: "
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"{\"title\": string, \"description\": string, \"modules\": "
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"[{\"title\": string, \"skill\": string, \"estimated_hours\": number, "
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"\"topics\": [string], \"resources\": [{\"title\": string, \"type\": string}]}], "
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"\"duration_weeks\": number}"
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)},
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{"role": "user", "content": json.dumps(body)},
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]
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result = ai.chat_json(messages, action="generate_course", max_tokens=4096)
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return _json_response(result)
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except Exception as e:
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return _json_response({"error": str(e)}, 500)
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