chore: import upstream snapshot with attribution
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# openai-chatkit (OpenAI ChatKit Workflow Evaluation)
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Evaluate ChatKit workflows built with OpenAI's Agent Builder using browser automation.
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## Quick Start
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```bash
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npx promptfoo@latest init --example openai-chatkit
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cd openai-chatkit
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```
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## Prerequisites
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1. Install Playwright browser:
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```bash
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npx playwright install chromium
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```
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2. Get your workflow ID from Agent Builder:
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- Open [platform.openai.com](https://platform.openai.com) > Agent Builder
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- Click **Publish** on your workflow
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- Copy the workflow ID (e.g., `wf_68ffb83dbfc88190a38103c2bb9f421003f913035dbdb131`)
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3. Update `promptfooconfig.yaml` with your workflow ID
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## Environment Variables
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- `OPENAI_API_KEY` - Your OpenAI API key
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## Run the Eval
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```bash
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npx promptfoo@latest eval --max-concurrency 4
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```
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View results:
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```bash
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npx promptfoo@latest view
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```
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## Multi-Turn Conversations
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For workflows that ask follow-up questions, enable stateful mode:
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```yaml
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providers:
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- id: openai:chatkit:wf_YOUR_WORKFLOW_ID
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config:
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stateful: true
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tests:
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- vars:
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message: 'I want to plan a party'
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- vars:
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message: 'For 20 people with a $500 budget'
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```
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Run with `--max-concurrency 1` for stateful mode.
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## Using with Simulated User
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Test multi-turn conversations automatically:
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```yaml
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providers:
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- id: openai:chatkit:wf_YOUR_WORKFLOW_ID
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config:
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stateful: true
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defaultTest:
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provider:
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id: 'promptfoo:simulated-user'
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config:
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maxTurns: 5
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tests:
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- vars:
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instructions: |
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You are planning a birthday party.
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Answer questions naturally and provide details when asked.
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```
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## Learn More
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- [ChatKit Provider Documentation](https://www.promptfoo.dev/docs/providers/openai-chatkit/)
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- [Simulated User Provider](https://www.promptfoo.dev/docs/providers/simulated-user/)
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- [OpenAI Agent Builder](https://platform.openai.com/docs/guides/chatkit)
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@@ -0,0 +1,35 @@
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# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
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description: Evaluate ChatKit workflows from OpenAI Agent Builder
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prompts:
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- '{{message}}'
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providers:
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# Replace with your workflow ID from Agent Builder
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- id: openai:chatkit:wf_YOUR_WORKFLOW_ID_HERE
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label: my-workflow
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config:
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timeout: 120000
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poolSize: 4
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tests:
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- description: Basic greeting
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vars:
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message: Hello, how can you help me today?
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assert:
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- type: llm-rubric
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value: Response is helpful and relevant
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- description: Task request
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vars:
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message: I need help planning a project
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assert:
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- type: contains-any
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value: ['help', 'plan', 'project', 'assist']
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- description: Question handling
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vars:
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message: What information do you need from me?
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assert:
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- type: llm-rubric
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value: Response asks clarifying questions or explains capabilities
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