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@ -1027,23 +1027,6 @@ Currently, these models are provided as part of the core library:
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To use these models, make sure that you've [set the relevant API](#api-keys)
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keys as environment variables.
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**⚠️ A note on `spacy.Azure.v1`** Working with Azure OpenAI is slightly
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different than working with models from other providers:
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- In Azure LLMs have to be made available by creating a _deployment_ of a given
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model (e. g. GPT-3.5). This deployment can have an arbitrary name. The `name`
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argument, which everywhere else denotes the model name (e. g. `claude-1.0`,
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`gpt-3.5`), here denotes the _deployment name_.
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- Deployed Azure OpenAI models are reachable via a resource-specific base URL,
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usually of the form https://{resource}.openai.azure.com. Hence the URL has to
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be specified via the `base_url` argument.
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- Azure further expects the _API version_ to be specified. The default value for
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this, via the `api_version` argument, is currently `2023-05-15` but may be
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updated in the future.
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- Finally, since we can't infer information about the model from the deployment
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name, `spacy-llm` requires the `model_type` to be set to either
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`"completions"` or `"chat"`, depending on whether the deployed model is a
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completion or chat model.
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#### API Keys {id="api-keys"}
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