LocalMCP/env.template at main · wtthornton/LocalMCP · GitHub

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# PromptMCP Environment Configuration
# Copy this file to .env for local development
# DO NOT COMMIT THE .env FILE TO GITHUB

# Context7 API Configuration
CONTEXT7_API_KEY=your_context7_api_key_here
CONTEXT7_ENABLED=true
CONTEXT7_USE_HTTP_ONLY=true
CONTEXT7_BASE_URL=https://mcp.context7.com/mcp
CONTEXT7_API_VERSION=v1
CONTEXT7_TIMEOUT=30000

# OpenAI API Configuration
OPENAI_API_KEY=your_openai_api_key_here
OPENAI_PROJECT_ID=your_openai_project_id_here
OPENAI_MODEL=gpt-4o

# AI Enhancement Configuration
PROMPT_ENHANCEMENT_ENABLED=true
PROMPT_ENHANCEMENT_STRATEGY_TYPE=general
PROMPT_ENHANCEMENT_MAX_TOKENS=2000
PROMPT_ENHANCEMENT_TEMPERATURE=0.3
PROMPT_ENHANCEMENT_QUALITY_THRESHOLD=0.8
PROMPT_ENHANCEMENT_COST_LIMIT=10.0
PROMPT_ENHANCEMENT_RATE_LIMIT=100
PROMPT_ENHANCEMENT_FALLBACK_ENABLED=true

# Temperature Optimization Settings
OPENAI_TEMPERATURE_TASK_BREAKDOWN=0.4
OPENAI_TEMPERATURE_COMPLEXITY_ANALYSIS=0.1
OPENAI_TEMPERATURE_PROMPT_ENHANCEMENT=0.6
OPENAI_TEMPERATURE_SUMMARIZATION=0.3
OPENAI_TEMPERATURE_CONNECTION_TEST=0.1

# Model Selection
OPENAI_MODEL_PRIMARY=gpt-4o
OPENAI_MODEL_FALLBACK=gpt-4o-mini
OPENAI_MODEL_COMPLEX=gpt-4o
OPENAI_MODEL_SIMPLE=gpt-4o-mini
OPENAI_MODEL_TEST=gpt-4o-mini

# Cost Monitoring
OPENAI_DAILY_COST_LIMIT=5.0
OPENAI_MONTHLY_COST_LIMIT=50.0
OPENAI_PER_REQUEST_COST_LIMIT=1.0

# Debug Settings
DEBUG_TEMPERATURE=false
DEBUG_PROMPTS=false
DEBUG_COSTS=false
DEBUG_MODELS=false

# TestSprite API Configuration
TESTSPRITE_API_KEY=your_testsprite_api_key_here

# Application Configuration
NODE_ENV=production
LOG_LEVEL=info
WORKSPACE_PATH=/app
HTTP_PORT=3001
HEALTH_PORT=3000

# Qdrant Configuration
QDRANT_URL=http://qdrant:6333
QDRANT_API_KEY=
QDRANT_COLLECTION_NAME=promptmcp_vectors

# Test Configuration
TESTSPRITE_PROJECT_ROOT=C:\cursor\TappMCP
TESTSPRITE_CONFIG_PATH=./testsprite.config.js
TESTSPRITE_OUTPUT_DIR=./test-results
TESTSPRITE_LOG_LEVEL=info