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73 lines
3.3 KiB
Plaintext
73 lines
3.3 KiB
Plaintext
# Shannon Environment Configuration
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# Copy this file to .env and fill in your credentials
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# Recommended output token configuration for larger tool outputs
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CLAUDE_CODE_MAX_OUTPUT_TOKENS=64000
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# =============================================================================
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# OPTION 1: Direct Anthropic (default, no router)
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# =============================================================================
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ANTHROPIC_API_KEY=your-api-key-here
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# OR use OAuth token instead
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# CLAUDE_CODE_OAUTH_TOKEN=your-oauth-token-here
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# =============================================================================
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# OPTION 2: Router Mode (use alternative providers)
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# =============================================================================
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# Enable router mode by running: ./shannon start ... ROUTER=true
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# Then configure ONE of the providers below:
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# --- OpenAI ---
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# OPENAI_API_KEY=sk-your-openai-key
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# ROUTER_DEFAULT=openai,gpt-5.2
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# --- OpenRouter (access Gemini 3 models via single API) ---
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# OPENROUTER_API_KEY=sk-or-your-openrouter-key
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# ROUTER_DEFAULT=openrouter,google/gemini-3-flash-preview
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# =============================================================================
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# Model Tier Overrides (Anthropic API / OAuth / Bedrock)
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# =============================================================================
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# Override which model is used for each tier. Defaults are used if not set.
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# ANTHROPIC_SMALL_MODEL=... # Small tier (default: claude-haiku-4-5-20251001)
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# ANTHROPIC_MEDIUM_MODEL=... # Medium tier (default: claude-sonnet-4-6)
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# ANTHROPIC_LARGE_MODEL=... # Large tier (default: claude-opus-4-6)
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# =============================================================================
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# OPTION 3: AWS Bedrock
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# =============================================================================
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# https://aws.amazon.com/blogs/machine-learning/accelerate-ai-development-with-amazon-bedrock-api-keys/
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# Requires the model tier overrides above to be set with Bedrock-specific model IDs.
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# Example Bedrock model IDs for us-east-1:
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# ANTHROPIC_SMALL_MODEL=us.anthropic.claude-haiku-4-5-20251001-v1:0
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# ANTHROPIC_MEDIUM_MODEL=us.anthropic.claude-sonnet-4-6
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# ANTHROPIC_LARGE_MODEL=us.anthropic.claude-opus-4-6
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# CLAUDE_CODE_USE_BEDROCK=1
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# AWS_REGION=us-east-1
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# AWS_BEARER_TOKEN_BEDROCK=your-bearer-token
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# =============================================================================
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# OPTION 4: Google Vertex AI
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# =============================================================================
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# https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-partner-models
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# Requires a GCP service account with roles/aiplatform.user.
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# Download the SA key JSON from GCP Console (IAM > Service Accounts > Keys).
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# Requires the model tier overrides above to be set with Vertex AI model IDs.
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# Example Vertex AI model IDs:
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# ANTHROPIC_SMALL_MODEL=claude-haiku-4-5@20251001
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# ANTHROPIC_MEDIUM_MODEL=claude-sonnet-4-6
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# ANTHROPIC_LARGE_MODEL=claude-opus-4-6
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# CLAUDE_CODE_USE_VERTEX=1
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# CLOUD_ML_REGION=us-east5
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# ANTHROPIC_VERTEX_PROJECT_ID=your-gcp-project-id
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# GOOGLE_APPLICATION_CREDENTIALS=./credentials/gcp-sa-key.json
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# =============================================================================
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# Available Models
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# =============================================================================
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# OpenAI: gpt-5.2, gpt-5-mini
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# OpenRouter: google/gemini-3-flash-preview
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