Rhyan/8p3 55 end of chapter learning check

.env.example

@@ -2,20 +2,29 @@
 MUX_TOKEN_ID={your_mux_token_here}
 MUX_TOKEN_SECRET={your_mux_secret_here}
 
-# Tavus API Configuration
+# Tavus API Configuration for Learning Check Feature
 # Get your API credentials at: https://www.tavus.io/
 # Documentation: https://docs.tavus.io/api-reference/conversations/create-conversation
 
 # Required: Your Tavus API key
 TAVUS_API_KEY=your_tavus_api_key_here
 
-# Required: Your Tavus replica ID (AI avatar)
-TAVUS_REPLICA_ID=your_replica_id_here
+# Required: Your Tavus persona ID from dashboard (e.g., "pd8#1eb0d8e")
+# This should reference the "8p3p - AI Instructor Assistant" persona
+TAVUS_PERSONA_ID=your_persona_id_here
 
-# Optional: Persona ID for custom AI personality
-# Leave commented out to use default persona
-# TAVUS_PERSONA_ID=your_persona_id_here
+# Required: Webhook secret for signature verification
+# Generate a secure random string for webhook authentication
+TAVUS_WEBHOOK_SECRET=your_webhook_secret_here
 
-# Optional: Default conversation duration in seconds
-# Default: 240 (4 minutes)
-# TAVUS_DEFAULT_CALL_DURATION=240
+# Required: Public webhook URL for perception analysis callbacks
+# This should be your deployed app URL + /api/learning-checks/perception-analysis
+# Example: https://your-app.vercel.app/api/learning-checks/perception-analysis
+TAVUS_WEBHOOK_URL=your_webhook_endpoint_here
+
+# Learning Check Assets
+NEXT_PUBLIC_TAVUS_LEARNING_CHECK_OBJECTIVES_ID=your_objectives_id_here
+NEXT_PUBLIC_TAVUS_LEARNING_CHECK_GUARDRAILS_ID=your_guardrails_id_here
+# Create via API routes:
+#   curl -X POST http://localhost:3000/api/learning-checks/objectives -H "Content-Type: application/json" -d '{}'
+#   curl -X POST http://localhost:3000/api/learning-checks/guardrails -H "Content-Type: application/json" -d '{}'

.gitignore

@@ -13,6 +13,9 @@
 # testing
 /coverage
 
+# logs
+/logs/*
+
 # next.js
 /.next/
 /out/