# Shannon Environment Configuration
# Copy this file to .env and fill in your credentials

# Recommended output token configuration for larger tool outputs
CLAUDE_CODE_MAX_OUTPUT_TOKENS=64000

# Adaptive thinking is enabled automatically on Opus 4.6/4.7/4.8. Set to false to disable.
# CLAUDE_ADAPTIVE_THINKING=false

# Shannon forwards your machine's /etc/hosts entries into the worker container. Set to false to disable.
# SHANNON_FORWARD_HOSTS=false

# =============================================================================
# OPTION 1: Direct Anthropic
# =============================================================================
ANTHROPIC_API_KEY=your-api-key-here

# OR use OAuth token instead
# CLAUDE_CODE_OAUTH_TOKEN=your-oauth-token-here

# =============================================================================
# OPTION 2: Custom Base URL (compatible proxies, gateways, etc.)
# =============================================================================
# Point the SDK at an alternative Anthropic-compatible endpoint.
# ANTHROPIC_BASE_URL=https://your-proxy.example.com
# ANTHROPIC_AUTH_TOKEN=your-auth-token   # Auth token for the custom endpoint

# =============================================================================
# Model Tier Overrides (Anthropic API / OAuth / Custom Base URL / Bedrock)
# =============================================================================
# Override which model is used for each tier. Defaults are used if not set.
# Optional for direct Anthropic and custom base URL modes. Required for Bedrock/Vertex.
# ANTHROPIC_SMALL_MODEL=...     # Small tier  (default: claude-haiku-4-5-20251001)
# ANTHROPIC_MEDIUM_MODEL=...    # Medium tier (default: claude-sonnet-4-6)
# ANTHROPIC_LARGE_MODEL=...     # Large tier  (default: claude-opus-4-8)

# =============================================================================
# OPTION 3: AWS Bedrock
# =============================================================================
# https://aws.amazon.com/blogs/machine-learning/accelerate-ai-development-with-amazon-bedrock-api-keys/
# Requires the model tier overrides above to be set with Bedrock-specific model IDs.
# Example Bedrock model IDs for us-east-1:
#   ANTHROPIC_SMALL_MODEL=us.anthropic.claude-haiku-4-5-20251001-v1:0
#   ANTHROPIC_MEDIUM_MODEL=us.anthropic.claude-sonnet-4-6
#   ANTHROPIC_LARGE_MODEL=us.anthropic.claude-opus-4-8

# CLAUDE_CODE_USE_BEDROCK=1
# AWS_REGION=us-east-1
# AWS_BEARER_TOKEN_BEDROCK=your-bearer-token

# =============================================================================
# OPTION 4: Google Vertex AI
# =============================================================================
# https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-partner-models
# Requires a GCP service account with roles/aiplatform.user.
# Download the SA key JSON from GCP Console (IAM > Service Accounts > Keys).
# Requires the model tier overrides above to be set with Vertex AI model IDs.
# Example Vertex AI model IDs:
#   ANTHROPIC_SMALL_MODEL=claude-haiku-4-5@20251001
#   ANTHROPIC_MEDIUM_MODEL=claude-sonnet-4-6
#   ANTHROPIC_LARGE_MODEL=claude-opus-4-8

# CLAUDE_CODE_USE_VERTEX=1
# CLOUD_ML_REGION=us-east5
# ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
# GOOGLE_APPLICATION_CREDENTIALS=./credentials/google-sa-key.json
