agenticInterview/.env.example at main · rjspence3/agenticInterview · GitHub

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# ==============================================================================
# Application Authentication
# ==============================================================================
# Set a password to protect access to the app (leave empty for no auth)
APP_PASSWORD=

# Default organization ID (usually leave as 1)
DEFAULT_ORG_ID=1

# ==============================================================================
# LLM Provider Configuration
# ==============================================================================
# Choose 'openai' or 'anthropic'
LLM_PROVIDER=openai

# API Keys (add your actual keys to .env, never commit .env!)
OPENAI_API_KEY=your_openai_key_here
ANTHROPIC_API_KEY=your_anthropic_key_here

# LLM Model Selection
# OpenAI options: gpt-4, gpt-4-turbo, gpt-3.5-turbo
# Anthropic options: claude-3-5-sonnet-20241022, claude-3-opus-20240229
LLM_MODEL=gpt-4

# Temperature (0.0-1.0, lower = more deterministic)
LLM_TEMPERATURE=0.3

# ==============================================================================
# Rate Limiting (optional)
# ==============================================================================
# Maximum LLM calls per session (prevents runaway costs)
LLM_MAX_CALLS_PER_SESSION=50

# Maximum LLM calls per minute
LLM_MAX_CALLS_PER_MINUTE=10

# ==============================================================================
# Logging Configuration (optional)
# ==============================================================================
# Options: DEBUG, INFO, WARNING, ERROR, CRITICAL
LOG_LEVEL=INFO