Add AI stack configuration: ELAI avatars, system params, training tips import

- Add ELAI avatar seed data (7 avatars with codes, URLs, voice configs)
  from the original backend's avatars.json
- Add missing system parameters: encoach.aws_region (eu-west-1),
  encoach.whisper_workers (4)
- Add training tips import script with pathways_2_rw.json data source
- Add action_compute_embeddings() method to training tip model for
  computing sentence-transformer embeddings on demand

Made-with: Cursor

encoach_training/models/training_tip.py

@@ -1,4 +1,9 @@
-from odoo import models, fields
+import logging
+import pickle
+
+from odoo import api, models, fields
+
+_logger = logging.getLogger(__name__)
 
 
 class EncoachTrainingTip(models.Model):
@@ -20,3 +25,24 @@ class EncoachTrainingTip(models.Model):
     )
     content = fields.Text(required=True)
     embedding = fields.Binary(string="FAISS Embedding Vector")
+
+    def action_compute_embeddings(self):
+        """Compute sentence-transformer embeddings for tips missing them."""
+        try:
+            from sentence_transformers import SentenceTransformer
+            import numpy as np
+        except ImportError:
+            _logger.error("sentence-transformers not installed; cannot compute embeddings")
+            return
+
+        tips = self.search([("embedding", "=", False)])
+        if not tips:
+            _logger.info("All tips already have embeddings")
+            return
+
+        model = SentenceTransformer("all-MiniLM-L6-v2")
+        for tip in tips:
+            vec = model.encode([tip.content]).astype(np.float32)[0]
+            tip.embedding = pickle.dumps(vec)
+
+        _logger.info("Computed embeddings for %d tips", len(tips))