fix/AuzreOpenAI embeddings and LLM deployment name #171
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solves "The API deployment for this resource does not exist" for LLM and embedding models deployed in Azure OpenAI by deployment name supported in tmc/langchaingo#253 We can't Validate OpenAI LLM model names from hard-coded list in Azure because the model name parameter in API request is a deployment name, and while Microsoft advises us to use the model name as deployment name, we did not listen, and I didn't want to coordinate redeploying with a different name on a Friday. This also permits use of customized models that can be deployed in Azure side-by-side base models as added benefit so I think it was worthwhile.
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@ClaudiaJ This is fantastic. Thank you. I'm aiming to release this with 0.11, likely early next week. |
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solves "The API deployment for this resource does not exist" for LLM and embedding models deployed in Azure OpenAI by deployment name supported in tmc/langchaingo#253
We can't Validate OpenAI LLM model names from hard-coded list in Azure because the model name parameter in API request is a deployment name, and while Microsoft advises us to use the model name as deployment name, we did not listen, and I didn't want to coordinate redeploying with a different name on a Friday.
This also permits use of customized models that can be deployed in Azure side-by-side base models as added benefit so I think it was worthwhile.