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stripe

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README.md1.69 kB
## Evals Set up `.env` file with the following (see `.env.example` for an example): ``` BRAINTRUST_API_KEY=... STRIPE_SECRET_KEY=sk_test_.... OPENAI_BASE_URL=http://0.0.0.0:8000/v1 OPENAI_API_KEY=EMPTY ``` To run: ``` tsx eval.ts ``` We are using [Braintrust](https://www.braintrust.dev/) to run the evals. ## Framework There is a very lightweight built-in testing framework that wraps Braintrust to make adding new test cases easy. Add a new test case to `cases.ts`: ```javascript test({ prompt: "Create a product called 'Test Product' with a description 'A test product for evaluation'", fn: ({ toolCalls, messages }) => [ expectToolCall(toolCalls, ["create_product"]), llmCriteriaMet( messages, "The message should include a successful production creation response" ), ], }); ``` The Typescript type defintions has documentation to help you. The `fn` function will be called with the resulting output of your prompt. This should return an array of "assertions." These are like `expect` in Jest. This can be as simple as noting a tool was called or as complex as asking an LLM to do semantic similarities. See `scorer.ts` for a list of assertions. Override the toolkit config by passing a `toolkitConfig` object. If your test case needs some set up, for example, if it needs to set up some state in the Stripe account or load data, you can pass an async function. ```javascript test(async () => { const customers = await stripe.customers.list(); return { prompt: "What are my payments", toolkitConfig: { context: { customer: customers.data[0].id, }, }, fn: ({ toolCalls, messages }) => [], }; }); ```

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