.env.example

# Environment that the agent will run in.
ENV=local

# LLM Provider Configurations:
# ENABLE_OPENAI: Set to true to enable OpenAI as a language model provider.
ENABLE_OPENAI=false
# OPENAI_API_KEY: Your OpenAI API key for accessing models like GPT-4.
OPENAI_API_KEY=""
# OPENAI_API_BASE: Your OpenAI API Base url. Optional.
# OPENAI_API_BASE=""
# OPENAI_ORGANIZATION: Your OpenAI org-id. Optional.
# OPENAI_ORGANIZATION=""

# ENABLE_ANTHROPIC: Set to true to enable Anthropic as a language model provider.
ENABLE_ANTHROPIC=false
# ANTHROPIC_API_KEY: Your Anthropic API key for accessing models like Claude-3.
ANTHROPIC_API_KEY=""

# ENABLE_AZURE: Set to true to enable Azure as a language model provider.
ENABLE_AZURE=false
# AZURE_DEPLOYMENT: Your Azure deployment name for accessing specific models.
AZURE_DEPLOYMENT=""
# AZURE_API_KEY: Your API key for accessing Azure's language models.
AZURE_API_KEY=""
# AZURE_API_BASE: The base URL for Azure's API.
AZURE_API_BASE=""
# AZURE_API_VERSION: The version of Azure's API to use.
AZURE_API_VERSION=""

ENABLE_AZURE_GPT4O_MINI=false
AZURE_GPT4O_MINI_DEPLOYMENT=""
AZURE_GPT4O_MINI_API_KEY=""
AZURE_GPT4O_MINI_API_BASE=""
AZURE_GPT4O_MINI_API_VERSION=""

# ENABLE_GEMINI: Set to true to enable Gemini as a language model provider.
ENABLE_GEMINI=false
# GEMINI_API_KEY: Your Gemini API key for accessing models like GPT-4.
GEMINI_API_KEY=""

# LLM_KEY: The chosen language model to use. This should be one of the models
# provided by the enabled LLM providers (e.g., OPENAI_GPT4_TURBO, OPENAI_GPT4V, ANTHROPIC_CLAUDE3, AZURE_OPENAI_GPT4V).
LLM_KEY=""
# a cheaper LLM providers to help finishing some small tasks, like custom selection or svg conversion. If empty, it will be the same as LLM_KEY
SECONDARY_LLM_KEY=""

# Web browser configuration for scraping:
# BROWSER_TYPE: Can be either "chromium-headless" or "chromium-headful".
BROWSER_TYPE="chromium-headful"
# MAX_SCRAPING_RETRIES: Number of times to retry scraping a page before giving up, currently set to 0.
MAX_SCRAPING_RETRIES=0
# VIDEO_PATH: Path to the directory where videos will be saved.
VIDEO_PATH=./videos
# BROWSER_ACTION_TIMEOUT_MS: Timeout for browser actions in milliseconds.
BROWSER_ACTION_TIMEOUT_MS=5000

# Agent run configuration:
# MAX_STEPS_PER_RUN: Maximum number of steps to execute per run unless the agent finishes with a terminal state (last step or error).
MAX_STEPS_PER_RUN=50

# Logging and database configuration:
# LOG_LEVEL: Control log level (e.g., INFO, DEBUG).
LOG_LEVEL=INFO
# DATABASE_STRING: Database connection string.
DATABASE_STRING="postgresql+psycopg://skyvern@localhost/skyvern"
# PORT: Port to run the agent on.
PORT=8000

# Analytics configuration:
# Distinct analytics ID (a UUID is generated if left blank).
ANALYTICS_ID="anonymous"

# Enable recording skyvern logs as artifacts
ENABLE_LOG_ARTIFACTS=false