chore: import upstream snapshot with attribution
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: 'Example configuration for SageMaker provider with transforms'
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prompts:
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- 'Generate a short poem about {{subject}}'
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- 'Write a brief description of {{subject}}'
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- 'Explain the concept of {{subject}} to a 5-year-old'
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providers:
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# Example 1: Inline transform function for Llama format
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- id: sagemaker:llama:your-llama-endpoint
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label: 'Llama with Inline Transform'
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config:
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region: us-west-2
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modelType: llama
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maxTokens: 256
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temperature: 0.7
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transform: |
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// Format for Llama-2 Chat models
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return `<s>[INST] ${prompt} [/INST]`;
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# Example 2: File-based transform for complex formatting
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- id: sagemaker:jumpstart:your-jumpstart-endpoint
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label: 'JumpStart with File Transform'
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config:
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region: us-west-2
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modelType: jumpstart
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maxTokens: 256
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temperature: 0.7
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transform: file://transform.js
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responseFormat:
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path: 'json.generated_text' # Extract this field from the response
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# Example 3: Transform applied to an embedding model
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- id: sagemaker:embedding:your-embedding-endpoint
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label: 'Embedding with Transform'
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config:
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region: us-west-2
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transform: |
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// For embedding models, you might want to add context or formatting
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return `Context: This is for semantic analysis. Query: ${prompt}`;
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tests:
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- vars:
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subject: space exploration
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- vars:
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subject: artificial intelligence
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- vars:
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subject: climate change
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# Example using transformed embedding provider for similarity assertions
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defaultTest:
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assert:
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- type: similar
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value: '{{prompt}}'
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threshold: 0.7
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options:
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provider:
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embedding:
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id: sagemaker:embedding:your-embedding-endpoint
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config:
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region: us-west-2
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transform: |
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// Ensure consistent formatting for comparison
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return `Topic: ${prompt}`;
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