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README.md
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README.md
@@ -4,28 +4,34 @@ Prompt Lab is a flexible playground for comparing and optimizing LLM prompts. It
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[]
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Currently there's a public playground available at [https://promptlab.corbt.com/](https://promptlab.corbt.com/), but the recommended approach is to but the recommended approach is to [run locally](#running-locally).
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Currently there's a public playground available at [https://promptlab.corbt.com/](https://promptlab.corbt.com/), but the recommended approach is to [run locally](#running-locally).
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## High-Level Features
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**Configure Multiple Prompts**
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Set up multiple prompt configurations and compare their output side-by-side. Each configuration can be configured independently.
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**Visualize Responses**
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Inspect prompt completions side-by-side.
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**Test Many Inputs**
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Prompt Lab lets you *template* a prompt. Use the templating feature to run the prompts you're testing against many potential inputs for broader coverage of your problem space than you'd get with manual testing.
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**🪄 Auto-generate Test Scenarios**
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Prompt Lab includes a tool to generate new test scenarios based on your existing prompts and scenarios. Just click "Autogenerate Scenario" to try it out!
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**Prompt Validation and Typeahead**
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We use OpenAI's OpenAPI spec to automatically provide typeahead and validate prompts.
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[]
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**Function Call Support**
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Natively supports [OpenAI function calls](https://openai.com/blog/function-calling-and-other-api-updates) on supported models.
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[]
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@@ -41,5 +47,5 @@ Prompt Lab currently supports GPT-3.5 and GPT-4. Wider model support is planned.
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4. Clone this repository: `git clone https://github.com/prompt-lab/prompt-lab`
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5. Install the dependencies: `cd prompt-lab && pnpm install`
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6. Create a `.env` file (`cp .env.example .env`) and enter your `OPENAI_API_KEY`.
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7. Start the app: `pnpm start`
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7. Start the app: `pnpm dev`
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8. Navigate to [http://localhost:3000](http://localhost:3000)
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