chore: import upstream snapshot with attribution
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# provider-aiml-api (AI/ML API Provider)
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This example shows how to use AI/ML API to compare different language models on a fun task - telling jokes!
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AI/ML API provides access to 300+ models through a single API key, making it easy to compare models from different providers.
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## Setup
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1. Get your API key from [AI/ML API](https://aimlapi.com)
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2. Set your API key:
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```bash
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export AIML_API_KEY=your_api_key_here
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```
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3. Run the evaluation:
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```bash
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npx promptfoo@latest eval
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```
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## What this example does
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This example compares three different models:
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- **DeepSeek R1** - Advanced reasoning model
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- **GPT-4.1 Mini** - Fast and cost-effective
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- **Claude 4 Sonnet** - Balanced performance
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The models are asked to tell jokes about different topics, and we evaluate:
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- Whether the joke contains relevant keywords
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- Whether the joke is actually funny (using an LLM judge)
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You can run this example with:
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```bash
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npx promptfoo@latest init --example provider-aiml-api
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cd provider-aiml-api
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```
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: Compare AI models with AI/ML API
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providers:
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- aimlapi:chat:deepseek-r1
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- aimlapi:chat:gpt-4.1-mini
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- aimlapi:chat:claude-4-sonnet
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prompts:
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- 'Tell me a joke about {{topic}}'
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tests:
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- vars:
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topic: 'programming'
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assert:
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- type: contains-any
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value: ['code', 'bug', 'debug', 'programmer', 'developer', 'software']
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- type: llm-rubric
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value: 'Is this actually funny?'
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- vars:
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topic: 'artificial intelligence'
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assert:
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- type: contains-any
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value: ['AI', 'robot', 'machine', 'learning', 'neural']
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- type: llm-rubric
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value: 'Does the joke make sense and is it appropriate?'
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