feat(ccv3): optimize for cheapest Fireworks model + secure env

- Use minimax-m2p1 as default model (cheapest on Fireworks)
- Add .env.example with placeholder values (no secrets)
- Add .gitignore to prevent committing .env files
- Never commit API keys - follow secure SDLC

Author: claude

opc/ccv3/.env.example

@@ -0,0 +1,14 @@
+# CCv3 Hackathon Environment Variables
+# Copy to .env and fill in your values: cp .env.example .env
+
+# MongoDB Atlas - REQUIRED FOR FINALISTS
+MONGODB_URI="mongodb+srv://USER:PASSWORD@cluster.mongodb.net/?appName=ccv3"
+
+# Jina AI - v3 embeddings with task adapters
+JINA_API_KEY="your_jina_api_key"
+
+# Fireworks AI - using minimax-m2p1 (cheapest)
+FIREWORKS_API_KEY="your_fireworks_api_key"
+
+# Galileo AI - RAG Triad evaluation
+GALILEO_API_KEY="your_galileo_api_key"

opc/ccv3/.gitignore

@@ -0,0 +1,15 @@
+# Environment files with secrets
+.env
+.env.local
+.env.hackathon
+*.env
+
+# Python
+__pycache__/
+*.pyc
+*.pyo
+.pytest_cache/
+
+# IDE
+.vscode/
+.idea/

opc/ccv3/inference.py

@@ -32,19 +32,20 @@
 
 
 # Task → Model mapping (PRD Section 3.2)
+# OPTIMIZED FOR COST - using minimax-m2p1 as default cheap model
 TaskType = Literal["planning", "analysis", "coding", "patching", "cheap", "strong"]
 
 TASK_MODEL_MAP: dict[TaskType, str] = {
-    "planning": "accounts/nvidia/models/nemotron-3-8b-chat-v1",  # NVIDIA Nemotron
-    "analysis": "accounts/fireworks/models/qwen2-72b-instruct",  # Strong analysis
-    "coding": "accounts/fireworks/models/qwen2-72b-instruct",     # Strong coding
-    "patching": "accounts/fireworks/models/llama-v3p1-70b-instruct",  # Strong patching
-    "cheap": "accounts/nvidia/models/nemotron-3-8b-chat-v1",      # Cost optimized
-    "strong": "accounts/fireworks/models/qwen2-72b-instruct",     # Quality optimized
+    "planning": "accounts/fireworks/models/minimax-m2p1",         # CHEAPEST - use for planning
+    "analysis": "accounts/fireworks/models/minimax-m2p1",         # CHEAPEST - use for analysis
+    "coding": "accounts/fireworks/models/minimax-m2p1",           # CHEAPEST - for hackathon demo
+    "patching": "accounts/fireworks/models/minimax-m2p1",         # CHEAPEST - for hackathon demo
+    "cheap": "accounts/fireworks/models/minimax-m2p1",            # CHEAPEST - explicit cheap
+    "strong": "accounts/fireworks/models/llama-v3p1-70b-instruct",  # Only use when really needed
 }
 
-# Default model
-DEFAULT_MODEL = "accounts/fireworks/models/llama-v3p1-70b-instruct"
+# Default model - CHEAPEST for hackathon
+DEFAULT_MODEL = "accounts/fireworks/models/minimax-m2p1"
 
 
 class InferenceLLM: