Add Engine::encode example (#2000)
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SGLang provides a direct inference engine without the need for an HTTP server. There are generally two use cases:
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1. **Offline Batch Inference**
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2. **Custom Server on Top of the Engine**
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2. **Embedding Generation**
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3. **Custom Server on Top of the Engine**
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## Examples
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In this example, we launch an SGLang engine and feed a batch of inputs for inference. If you provide a very large batch, the engine will intelligently schedule the requests to process efficiently and prevent OOM (Out of Memory) errors.
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### 2. [Custom Server](./custom_server.py)
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### 2. [Embedding Generation](./embedding.py)
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In this example, we launch an SGLang engine and feed a batch of inputs for embedding generation.
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### 3. [Custom Server](./custom_server.py)
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This example demonstrates how to create a custom server on top of the SGLang Engine. We use [Sanic](https://sanic.dev/en/) as an example. The server supports both non-streaming and streaming endpoints.
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