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54 lines
2.0 KiB
YAML
54 lines
2.0 KiB
YAML
# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: 'OpenAI frontier models (GPT-5.5 / GPT-5.4) via AWS Bedrock'
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# Frontier models are served through Bedrock's OpenAI-compatible Responses API and
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# authenticate with an Amazon Bedrock API key. Export it before running (promptfoo reads it
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# automatically — no apiKey field needed):
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# export AWS_BEARER_TOKEN_BEDROCK="..."
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prompts:
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- |
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Answer the following question concisely and accurately.
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Question: {{question}}
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providers:
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# GPT-5.5 is available in us-east-2 (Ohio). promptfoo routes bedrock:openai.gpt-5.x to
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# the OpenAI-compatible Responses API on the regional Bedrock mantle endpoint.
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- id: bedrock:openai.gpt-5.5
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label: GPT-5.5 (high reasoning)
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config:
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region: us-east-2
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reasoning_effort: high
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max_output_tokens: 2048
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# GPT-5.4 is available in us-east-2 (Ohio) and us-west-2 (Oregon).
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- id: bedrock:openai.gpt-5.4
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label: GPT-5.4 (low reasoning)
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config:
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region: us-east-2
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# Valid: none | low | medium | high | xhigh (minimal is NOT supported)
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reasoning_effort: low
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max_output_tokens: 1024
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tests:
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- vars:
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question: What is the capital of France? Reply with only the city name.
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assert:
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- type: icontains
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value: Paris
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- vars:
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question: 'If a train travels 120 miles in 2 hours, what is its average speed in mph? Reply with just the number and unit.'
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assert:
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- type: contains
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value: '60'
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- type: icontains-any
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value: ['mph', 'miles per hour']
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- vars:
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question: 'Explain the concept of machine learning in two sentences.'
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assert:
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# Deterministic assertions keep this example runnable with only a Bedrock API key.
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# (A model-graded assertion like `llm-rubric` would require a separate grader provider
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# with its own credentials — see https://promptfoo.dev/docs/configuration/expected-outputs/model-graded/)
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- type: icontains-any
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value: ['data', 'model', 'train', 'learn', 'pattern']
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