chore: update environment variable defaults in .env.example and inference.py for clarity and consistency

.env.example

@@ -4,18 +4,8 @@
 # Mandatory hackathon secret (set this in HF Space secrets too)
 HF_TOKEN=your_provider_api_key_here
 
-# OpenAI-compatible endpoint (default: OpenRouter free-tier)
-API_BASE_URL=https://openrouter.ai/api/v1
+# OpenAI-compatible endpoint (required - fill with your LLM provider URL)
+API_BASE_URL=<your-active-endpoint>
 
-# Model to use (change to smaller model if you need lower latency/cost)
-MODEL_NAME=your_chosen_model_name_here
-
-# Optional: provider-specific API key fallback for development
-OPENAI_API_KEY=your_api_key_here
-
-# Environment server URL (local Docker)
-ENV_URL=http://localhost:7860
-
-# Inference script flags
-# --fast-mode : run heuristic (no LLM calls) for deterministic, instant runs
-# --episodes N : number of episodes per task
+# Model to use (required - fill with your model identifier)
+MODEL_NAME=<your-active-model>

python/inference.py

@@ -45,8 +45,8 @@ except ImportError:
 # ── Constants ──────────────────────────────────────────────────────────────
 
 ENV_URL = os.getenv("ENV_URL", "http://localhost:7860")
-MODEL_NAME = os.getenv("MODEL_NAME", "meta-llama/llama-3.3-70b-instruct:free")
-API_BASE_URL = os.getenv("API_BASE_URL", "https://openrouter.ai/api/v1")
+MODEL_NAME = os.getenv("MODEL_NAME", "<your-active-model>")
+API_BASE_URL = os.getenv("API_BASE_URL", "<your-active-endpoint>")
 
 # ── Environment Variable Handling ─────────────────────────────────────────
 # The LLM API credential is read from HF_TOKEN or OPENAI_API_KEY environment variables