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

113 lines
2.5 KiB
YAML

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: OpenTelemetry tracing with Python (protobuf format)
providers:
- python:provider.py
prompts:
- 'Explain how {{topic}} works in simple terms'
tests:
- vars:
topic: 'quantum computing'
metadata:
tracingEnabled: true
testCaseId: 'python-test-1'
assert:
# Ensure the main workflow span exists
- type: trace-span-count
value:
pattern: 'rag_agent_workflow'
min: 1
max: 1
# Ensure we retrieve exactly 3 documents
- type: trace-span-count
value:
pattern: 'retrieve_document_*'
min: 3
max: 3
# Ensure all reasoning steps occur
- type: trace-span-count
value:
pattern: 'reasoning_*'
min: 3
# Ensure the LLM generation span exists
- type: trace-span-count
value:
pattern: 'llm_generation'
min: 1
# Ensure the overall workflow completes quickly
- type: trace-span-duration
value:
pattern: 'rag_agent_workflow'
max: 5000 # 5 seconds max
# Ensure no errors occur
- type: trace-error-spans
value:
max_count: 0
- vars:
topic: 'machine learning'
metadata:
tracingEnabled: true
testCaseId: 'python-test-2'
assert:
- type: trace-span-count
value:
pattern: 'rag_agent_workflow'
min: 1
max: 1
- type: trace-span-count
value:
pattern: 'retrieve_document_*'
min: 3
max: 3
- type: trace-span-count
value:
pattern: 'reasoning_*'
min: 3
- type: trace-span-duration
value:
pattern: 'rag_agent_workflow'
max: 5000
- type: trace-error-spans
value:
max_count: 0
# Default assertions for all test cases
defaultTest:
assert:
# Monitor overall latency
- type: trace-span-duration
value:
pattern: '*'
max: 2000
percentile: 95
weight: 0
metric: p95_latency
# Ensure retrieval operations are fast
- type: trace-span-duration
value:
pattern: 'retrieve_document_*'
max: 500
# Tracing configuration - note we accept both JSON and protobuf
tracing:
enabled: true
otlp:
http:
enabled: true
port: 4318
# Python's OTLP exporter uses protobuf by default
acceptFormats: ['json', 'protobuf']