chore: import upstream snapshot with attribution

examples/provider-lm-studio/README.md

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+# provider-lm-studio (LM Studio Example with Promptfoo)
+
+You can run this example with:
+
+```bash
+npx promptfoo@latest init --example provider-lm-studio
+cd provider-lm-studio
+```
+
+This example demonstrates how to use Promptfoo with LM Studio for prompt evaluation. It showcases configuration for interacting with the LM Studio API using a locally hosted language model.
+
+## Prerequisites
+
+1. **LM Studio**: Install LM Studio from [lmstudio.ai](https://lmstudio.ai/).
+2. **Model**: Download the `bartowski/gemma-2-9b-it-GGUF` model in LM Studio.
+
+## Setup
+
+1. **Start LM Studio Server**:
+   - Open LM Studio and load the `bartowski/gemma-2-9b-it-GGUF` model.
+   - Start a local server to host the model (usually at `http://localhost:1234`).
+
+2. **Configure Promptfoo**:
+
+   Create a `promptfooconfig.yaml` file with the following content:
+
+   ```yaml
+   providers:
+     - id: 'http://localhost:1234/v1/chat/completions'
+       config:
+         method: 'POST'
+         headers:
+           'Content-Type': 'application/json'
+         body:
+           messages: '{{ prompt }}'
+           model: 'bartowski/gemma-2-9b-it-GGUF'
+           temperature: 0.7
+           max_tokens: -1
+         transformResponse: 'json.choices[0].message.content'
+   ```
+
+   Note that you can view the specific configuration for each model within LM Studio's examples in the server tab.
+
+## Usage
+
+1. **Run Evaluation**:
+
+   ```bash
+   npx promptfoo eval
+   ```
+
+2. **View Results**:
+
+   ```sh
+   npx promptfoo view
+   ```
+
+For more information, see the [Promptfoo documentation](https://www.promptfoo.dev/docs/providers/http) on how to set up a custom HTTP provider.

examples/provider-lm-studio/parser.js

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+module.exports = (json, text) => {
+  return json.choices[0].message.content;
+};

examples/provider-lm-studio/promptfooconfig.yaml

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+# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json
+description: 'LM Studio Eval Example'
+prompts:
+  - file://prompts.json
+providers:
+  - id: 'http://localhost:1234/v1/chat/completions'
+    config:
+      method: 'POST'
+      headers:
+        'Content-Type': 'application/json'
+      body:
+        messages: '{{ prompt }}'
+        model: 'bartowski/gemma-2-9b-it-GGUF'
+        temperature: 0.7
+        max_tokens: 100
+      transformResponse: 'file://parser.js'
+tests:
+  - vars:
+      topic: bananas

examples/provider-lm-studio/prompts.json

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+[
+  { "role": "system", "content": "You are a helpful assistant" },
+  { "role": "user", "content": "Tell me about {{topic}}" }
+]