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embeddings/azure-openai: Fixing issues with azure openai implementation #253

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merged 6 commits into from
Aug 18, 2023

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@nidzola nidzola commented Aug 17, 2023

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  • Read the Contributing documentation.
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  • Name your Pull Request title clearly, concisely, and prefixed with the name of the primarily affected package you changed according to Good commit messages (such as memory: add interfaces for X, Y or util: add whizzbang helpers).
  • Check that there isn't already a PR that solves the problem the same way to avoid creating a duplicate.
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  • Contains test coverage for new functions.
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Description

  • if we want to use azure openai implementation, we need to provide the needed embedder model (aka deployment in the Azure portal), this is the required parameter in the Azure documentation
  • each deployment in azure is used for diff purpose
  • fixing the issue and adding the tests

Screenshot

Screenshot 2023-08-17 at 7 55 36 PM

@tmc tmc merged commit fef0821 into tmc:main Aug 18, 2023
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ClaudiaJ added a commit to ClaudiaJ/zep that referenced this pull request Aug 25, 2023
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.
danielchalef pushed a commit to getzep/zep that referenced this pull request Aug 28, 2023
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.
danielchalef added a commit to getzep/zep that referenced this pull request Aug 28, 2023
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.

Co-authored-by: Claudia Justice Kane <claudia.hardman@mattel.com>
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3 participants