Dora openai server example #676
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This is a Rust-based version of #676 based on https://github.com/LlamaEdge/LlamaEdge/tree/main/llama-api-server . It includes `serde` structs to fully deserialize chat completion requests. The server replies to requests asynchronously, which makes it possible to serve multiple clients at the same time. Note that replies are mapped to requests purely based on their order right now. So the first reply is assigned to the first request and so on. If the order of replies is different (e.g. because some completions take longer), some form of ID needs to be added to the code to enable a proper `request<->reply` mapping. Like #676, this PR only implements basic chat completion requests. You can try it through these steps: ```bash cd examples/openai-server dora build dataflow-rust.yml dora start dataflow-rust.yml # In a separate terminal python openai_api_client.py ``` I didn't implement the `/v1/models` endpoint, so the _"Testing API endpoints..."_ part of `openai_api_client.py` is expected to fail with _"Error listing models: 404"_.
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You will find in this pull request a quick implementation of an openAI server makes it possible to make request from an openai endpoint client and receive it within the dataflow.
Note that I have only implemented chat completion and this is still experimental.
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