L starryskyl patch 1

[lStarryskyl]

Purpose

Does this introduce a breaking change?

When developers merge from main and run the server, azd up, or azd deploy, will this produce an error?
If you're not sure, try it out on an old environment.

[ ] Yes
[ ] No

Does this require changes to learn.microsoft.com docs?

This repository is referenced by this tutorial
which includes deployment, settings and usage instructions. If text or screenshot need to change in the tutorial,
check the box below and notify the tutorial author. A Microsoft employee can do this for you if you're an external contributor.

[ ] Yes
[ ] No

Type of change

[ ] Bugfix
[ ] Feature
[ ] Code style update (formatting, local variables)
[ ] Refactoring (no functional changes, no api changes)
[ ] Documentation content changes
[ ] Other... Please describe:

Code quality checklist

See CONTRIBUTING.md for more details.

• The current tests all pass (python -m pytest).
• I added tests that prove my fix is effective or that my feature works
• I ran python -m pytest --cov to verify 100% coverage of added lines
• I ran python -m mypy to check for type errors
• I either used the pre-commit hooks or ran ruff and black manually on my code.

[lStarryskyl]

@microsoft-github-policy-service agree

[lStarryskyl]

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[pamelafox]

This looks like an unintentional PR?
Closing.
Let me know if you need help using DeepSeek with the repo. I haven't done it, but I have used it outside the repo.

[lStarryskyl]

Hello Pamela ، Actually this is my first project so I may I done this but mistake however I do need help on how to use deepseek along with a rag pipeline I'd appreciate any help you can offer. Regards, Omar

…

On Fri, 14 Feb 2025, 4:04 am Pamela Fox, ***@***.***> wrote: This looks like an unintentional PR? Closing. Let me know if you need help using DeepSeek with the repo. I haven't done it, but I have used it outside the repo. — Reply to this email directly, view it on GitHub <#2359 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2GTODKFH3CKZGJKRN734A32PU6LTAVCNFSM6AAAAABXCXJZ4CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMNJYGAZTAOJQGI> . You are receiving this because you were mentioned.Message ID: ***@***.***> [image: pamelafox]*pamelafox* left a comment (Azure-Samples/azure-search-openai-demo#2359) <#2359 (comment)> This looks like an unintentional PR? Closing. Let me know if you need help using DeepSeek with the repo. I haven't done it, but I have used it outside the repo. — Reply to this email directly, view it on GitHub <#2359 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2GTODKFH3CKZGJKRN734A32PU6LTAVCNFSM6AAAAABXCXJZ4CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMNJYGAZTAOJQGI> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[pamelafox]

Okay, please open an issue in the issue tracker about DeepSeek usage.

I haven't tried it in this repo yet, but a short answer is:

1. Deploy DeepSeek to Azure AI Services. You can use the Bicep here or do it from the Portal:
   https://github.com/Azure-Samples/deepseek-python

2. Modify the AzureOpenAI constructor to pass in the correct base endpoint:

client = AzureOpenAI(
api_version=os.environ["AZURE_INFERENCE_API_VERSION"],
base_url=os.environ["AZURE_INFERENCE_ENDPOINT"],
azure_ad_token_provider=token_provider,
)

3. Modify the chat completion call to pass the model in this way:

result = client.chat.completions.create(
# This must be None, even though it technically is meant to be a str,
# because thats the only way to get the AzureOpenAI class to skip the addition of 'deployments/model' to the URL:
model=None,
# We must pass the model in the header, since we need to pass model=None to create
extra_headers={"x-ms-model-mesh-model-name": "DeepSeek-R1"},
..

4. And then you'll need to decide how you want to handle the think block. See my repo above or my blog post here: https://blog.pamelafox.org/2025/01/observations-using-python-with-deepseek.html

I have weekly office hours as well, if you want to ask there:
http://aka.ms/aipython/oh

[lStarryskyl]

Thanks, I'll check it out. I have other questions I'll visit your office hours.

…

On Fri, 14 Feb 2025, 10:17 am Pamela Fox, ***@***.***> wrote: Okay, please open an issue in the issue tracker about DeepSeek usage. I haven't tried it in this repo yet, but a short answer is: 1. Deploy DeepSeek to Azure AI Services. You can use the Bicep here or do it from the Portal: https://github.com/Azure-Samples/deepseek-python 2. Modify the AzureOpenAI constructor to pass in the correct base endpoint: client = AzureOpenAI( api_version=os.environ["AZURE_INFERENCE_API_VERSION"], base_url=os.environ["AZURE_INFERENCE_ENDPOINT"], azure_ad_token_provider=token_provider, ) 3. Modify the chat completion call to pass the model in this way: result = client.chat.completions.create( # This *must* be None, even though it technically is meant to be a str, # because thats the only way to get the AzureOpenAI class to skip the addition of 'deployments/model' to the URL: model=None, # We must pass the model in the header, since we need to pass model=None to create extra_headers={"x-ms-model-mesh-model-name": "DeepSeek-R1"}, .. 4. And then you'll need to decide how you want to handle the think block. See my repo above or my blog post here: https://blog.pamelafox.org/2025/01/observations-using-python-with-deepseek.html I have weekly office hours as well, if you want to ask there: http://aka.ms/aipython/oh — Reply to this email directly, view it on GitHub <#2359 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2GTODOTTVMUPO7N2GIYQQT2PWKAPAVCNFSM6AAAAABXCXJZ4CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMNJYGQ3DKOJTGY> . You are receiving this because you were mentioned.Message ID: ***@***.***> [image: pamelafox]*pamelafox* left a comment (Azure-Samples/azure-search-openai-demo#2359) <#2359 (comment)> Okay, please open an issue in the issue tracker about DeepSeek usage. I haven't tried it in this repo yet, but a short answer is: 1. Deploy DeepSeek to Azure AI Services. You can use the Bicep here or do it from the Portal: https://github.com/Azure-Samples/deepseek-python 2. Modify the AzureOpenAI constructor to pass in the correct base endpoint: client = AzureOpenAI( api_version=os.environ["AZURE_INFERENCE_API_VERSION"], base_url=os.environ["AZURE_INFERENCE_ENDPOINT"], azure_ad_token_provider=token_provider, ) 3. Modify the chat completion call to pass the model in this way: result = client.chat.completions.create( # This *must* be None, even though it technically is meant to be a str, # because thats the only way to get the AzureOpenAI class to skip the addition of 'deployments/model' to the URL: model=None, # We must pass the model in the header, since we need to pass model=None to create extra_headers={"x-ms-model-mesh-model-name": "DeepSeek-R1"}, .. 4. And then you'll need to decide how you want to handle the think block. See my repo above or my blog post here: https://blog.pamelafox.org/2025/01/observations-using-python-with-deepseek.html I have weekly office hours as well, if you want to ask there: http://aka.ms/aipython/oh — Reply to this email directly, view it on GitHub <#2359 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2GTODOTTVMUPO7N2GIYQQT2PWKAPAVCNFSM6AAAAABXCXJZ4CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDMNJYGQ3DKOJTGY> . You are receiving this because you were mentioned.Message ID: ***@***.***>