# 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

# =============================================================================
# OPTION 1: Direct Anthropic (default, no router)
# =============================================================================
ANTHROPIC_API_KEY=your-api-key-here

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

# =============================================================================
# OPTION 2: Router Mode (use alternative providers)
# =============================================================================
# Enable router mode by running: ./shannon start ... ROUTER=true
# Then configure ONE of the providers below:

# --- OpenAI ---
# OPENAI_API_KEY=sk-your-openai-key
# ROUTER_DEFAULT=openai,gpt-5.2

# --- OpenRouter (access Gemini 3 models via single API) ---
# OPENROUTER_API_KEY=sk-or-your-openrouter-key
# ROUTER_DEFAULT=openrouter,google/gemini-3-flash-preview

# =============================================================================
# Model Tier Overrides (Anthropic API / OAuth / Bedrock)
# =============================================================================
# Override which model is used for each tier. Defaults are used if not set.
# 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-4-6)

# =============================================================================
# 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-4-6

# 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-4-6

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

# =============================================================================
# Available Models
# =============================================================================
# OpenAI:     gpt-5.2, gpt-5-mini
# OpenRouter: google/gemini-3-flash-preview