Sales Trainer v0.1: corporate sales-training simulator (Flask+Vue, 15 personas, chat simulator, judge, analytics)

- Auth/roles (no self-reg), admin user provision, JWT
- Analyze: sales kit + initial pain-fit from form/upload
- Persona generator: 15 personas (5/tier) w/ pain variety, negotiation, init mode, channel, latent/revealable, wrong_text special
- Chat simulator: per-mode initiation, one-shot, hidden signals, judge-LLM debrief+coaching
- Trainee loop: win/lose board, weak-areas, user-generated personas
- Admin analytics; EN+TH Vue SPA served by Flask
- Deploy: Dockerfile, docker-compose, README, eng-log + HANDOFF
- Tests (mock LLM): m0/m1/routes/e2e all pass

.env.example

@@ -0,0 +1,21 @@
+# ===== Sales Trainer configuration =====
+# Copy to .env for docker-compose / deployment.
+
+# --- LLM (OpenAI / DeepSeek / any OpenAI-compatible) ---
+# provider: deepseek | openai | custom  (custom => set LLM_BASE_URL + LLM_MODEL_NAME)
+LLM_PROVIDER=deepseek
+LLM_BASE_URL=
+LLM_MODEL_NAME=deepseek-chat
+LLM_API_KEY=replace_me
+
+# --- Auth ---
+# REQUIRED: use a long random value in production
+JWT_SECRET=change_this_secret_to_a_long_random_string
+JWT_EXPIRES_HOURS=24
+
+# --- Runtime ---
+FLASK_HOST=0.0.0.0
+FLASK_PORT=5001
+FLASK_DEBUG=0
+DATA_DIR=./data
+UPLOAD_MAX_MB=15