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147 lines
4.0 KiB
YAML

# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
description: Google AI Studio Gemini model evaluation
prompts:
- |
Given this math puzzle: {{puzzle}}
Please solve this step by step, showing your reasoning process.
providers:
- id: google:gemma-4-31b-it
config:
temperature: 0.7
maxOutputTokens: 2048
- id: google:gemma-4-26b-a4b-it
config:
temperature: 0.7
maxOutputTokens: 2048
- id: google:gemini-3.1-pro-preview
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 4096
thinkingConfig:
thinkingLevel: HIGH # Improved reasoning and performance
- id: google:gemini-3.5-flash
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 2048
thinkingConfig:
thinkingLevel: HIGH # Newest, fastest frontier Flash model
- id: google:gemini-3-flash-preview
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 2048
thinkingConfig:
thinkingLevel: HIGH # Frontier Flash reasoning with preview features
- id: google:gemini-3.1-flash-lite
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 2048
# Low-latency Flash-Lite model
- id: google:gemini-2.5-pro
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 4096
thinkingConfig:
thinkingBudget: 2048 # Enhanced thinking for complex reasoning
- id: google:gemini-2.5-flash
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 2048
thinkingConfig:
thinkingBudget: 1024 # Enhanced reasoning and thinking capabilities
- id: google:gemini-2.5-flash-lite
config:
generationConfig:
temperature: 0.7
maxOutputTokens: 1024
thinkingConfig:
thinkingBudget: 512 # Most cost-efficient and fastest 2.5 model
- id: google:gemini-2.5-pro
config:
temperature: 0.7
maxOutputTokens: 8192
topP: 0.9
topK: 40
# System instruction from file example
- id: google:gemini-2.5-pro
label: gemini-with-system-instruction-file
config:
temperature: 0.3
maxOutputTokens: 8192
systemInstruction: file://system-instruction.txt
# Structured output example
- id: google:gemini-2.5-pro
config:
generationConfig:
temperature: 0
maxOutputTokens: 8192
response_mime_type: 'application/json'
response_schema:
type: 'object'
properties:
answer:
type: 'string'
description: 'The numerical or text answer'
confidence:
type: 'string'
enum: ['high', 'medium', 'low']
method_used:
type: 'string'
description: 'One-word description of solving method'
required: ['answer', 'confidence', 'method_used']
# Function calling example
- id: google:gemini-2.5-pro
config:
tools:
function_declarations:
- name: 'verify_answer'
description: 'Verify if the answer is correct'
parameters:
type: 'object'
properties:
answer:
type: 'string'
description: 'The proposed answer'
explanation:
type: 'string'
description: 'Brief explanation'
required: ['answer']
tool_config:
function_calling_config:
mode: 'auto'
defaultTest:
options:
provider:
text:
id: google:gemini-2.5-flash
embedding:
id: google:embedding:gemini-embedding-001
tests:
- vars:
puzzle: 'If a train travels at 60 mph for 2.5 hours, then at 40 mph for 1.5 hours, what is the average speed for the entire journey?'
assert:
- type: contains
value: 52.5
- type: llm-rubric
value: |
The answer should be 52.5 mph.