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chore: import upstream snapshot with attribution
2026-07-13 13:24:08 +08:00

46 lines
1.3 KiB
YAML

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: PydanticAI agent evaluation
prompts:
- '{{query}}'
providers:
- id: file://provider.py
label: PydanticAI Weather Agent
defaultTest:
assert:
- type: is-json
value:
type: object
properties:
location:
type: string
temperature:
type: string
description:
type: string
required: ['location', 'temperature', 'description']
tests:
- description: 'Basic weather query with JavaScript assertion'
vars:
query: "What's the weather like in London?"
assert:
- type: javascript
value: output.location.toLowerCase().includes('london') && output.temperature !== 'N/A'
- description: 'Structured output validation with Python assertion'
vars:
query: 'Weather in New York'
assert:
- type: python
value: "'new york' in output.get('location', '').lower() and output.get('temperature', '').endswith(('°C', '°F'))"
- description: 'Weather quality assessment with LLM rubric'
vars:
query: 'Weather in Tokyo'
assert:
- type: llm-rubric
value: 'The weather response should be realistic and include proper temperature units. The location should be correctly identified as Tokyo.'