example.env

# TaskWing Environment Variables Example
# Copy this file to .env and fill in your actual values.
# Do NOT commit your .env file to version control if it contains sensitive information.

# --- LLM Configuration ---
# Used by planning commands (plan, iterate) and MCP tools.

# General LLM Settings (can be overridden by .taskwing/.taskwing.yaml)
# TASKWING_LLM_PROVIDER="openai"  # or "google"
# TASKWING_LLM_MODEL="gpt-5-mini" # Default; can also use "o3", "claude-sonnet-4-5", "gemini-2.5-pro"
# TASKWING_LLM_MAXOUTPUTTOKENS=2048
# TASKWING_LLM_TEMPERATURE=0.7

# OpenAI Specific (Required if provider is "openai")
# OPENAI_API_KEY="sk-your_openai_api_key_here"
# Alternatively, you can use TASKWING_LLM_APIKEY for OpenAI if OPENAI_API_KEY is not set.
# TASKWING_LLM_APIKEY="sk-your_openai_api_key_here"

# Google Cloud Specific (Required if provider is "google")
# TASKWING_LLM_PROJECTID="your-gcp-project-id"
# For Google Cloud, authentication is typically handled via Application Default Credentials (ADC)
# or a service account key JSON file (GOOGLE_APPLICATION_CREDENTIALS).
# If you are using an API Key for Google (less common for Vertex AI direct calls but might be supported by some proxy/gateway):
# GOOGLE_API_KEY="your_google_api_key_here"
# TASKWING_LLM_APIKEY="your_google_api_key_here"

# AWS Bedrock Specific (Required if provider is "bedrock")
# Bedrock uses OpenAI-compatible endpoints with AWS credentials.
# TASKWING_LLM_PROVIDER="bedrock"
# BEDROCK_API_KEY="your_bedrock_api_key_here"
# AWS_REGION="us-east-1"
# Alternatively, set the region via TaskWing config:
# TASKWING_LLM_BEDROCK_REGION="us-east-1"

# Anthropic Specific (Required if provider is "anthropic")
# TASKWING_LLM_PROVIDER="anthropic"
# ANTHROPIC_API_KEY="sk-ant-your_anthropic_api_key_here"

# --- Other Configurations ---
# (Add other environment variables as your application grows)

# Example: Verbose logging for TaskWing CLI (can also be set via --verbose flag)
# TASKWING_VERBOSE=true

# Example: Custom path for the main configuration file (overrides default search paths)
# TASKWING_CONFIG="/custom/path/to/.taskwing.yaml"

# Note: Actual API keys should be in your local .env file, not committed here.