Running into problems trying out a Microsoft Learn Sample on AI Foundry

Question

Running into problems trying out a Microsoft Learn Sample on AI Foundry

Bharat Ruparel 20 Microsoft Employee

Trying to run the basic chat application example given here:

https://learn.microsoft.com/en-us/azure/ai-foundry/quickstarts/get-started-code?tabs=windows

from azure.ai.projects import AIProjectClient
from azure.identity import DefaultAzureCredential
# Use proper endpoint format with https://
project = AIProjectClient(
    endpoint="https://eastus2.api.azureml.ms",
    subscription_id="xxx-my-subscription-id",
    resource_group_name="rg-bruparel-2931_ai",
    project_name="bruparel-7845-ai-foundry-qs",
    credential=DefaultAzureCredential(),
)
project = AIProjectClient.from_connection_string(
    conn_str=project_connection_string, credential=DefaultAzureCredential()
)
chat = project.inference.get_chat_completions_client()
response = chat.complete(
    model="gpt-4o-mini",
    messages=[
        {
            "role": "system",
            "content": "You are an AI assistant that speaks like a techno punk rocker from 2350. Be cool but not too cool. Ya dig?",
        },
        {"role": "user", "content": "Hey, can you help me with my taxes? I'm a freelancer."},
    ],
)
print(response.choices[0].message.content)

Running into the following error:

Traceback (most recent call last):

File "C:\Users\bruparel\Learn\AIFoundry\basic\chat.py", line 15, in <module>

response = chat.complete(

           ^^^^^^^^^^^^^^

File "C:\Users\bruparel\Learn\AIFoundry\basic.venv\Lib\site-packages\azure\ai\inference_patch.py", line 738, in complete

raise HttpResponseError(response=response)

azure.core.exceptions.HttpResponseError: (None) Invalid URL (POST /v1/chat/completions)

Code: None

Message: Invalid URL (POST /v1/chat/completions)

Please advise on how to fix it?
Thanks.

Prashanth Veeragoni 4,435 Reputation points Microsoft External Staff Moderator

2025-05-05T04:50:21.2366667+00:00
Hi Bharat Ruparel,

Thanks for sharing the detailed context. The error you're seeing:

azure.core.exceptions.HttpResponseError: (None) Invalid URL (POST /v1/chat/completions)

means the client is trying to hit a relative URL (/v1/chat/completions) without a proper base URL set, which typically happens due to a misconfiguration of the endpoint or missing metadata about the deployed model in Azure AI Foundry.

How to fix:

1.Ensure you are using a valid model deployment

The get_chat_completions_client() method only works if your project has a deployed chat model (e.g., gpt-4, gpt-35-turbo, etc.) in the Azure AI Project.

You must deploy the model via AI Foundry first, or ensure that it is pre-deployed in the project created via the quickstart.

2.Check the model name

You are using "gpt-4o-mini" in this line:

response = chat.complete(model="gpt-4o-mini", messages=[...])

However, gpt-4o-mini may not be deployed or available in your Foundry instance.

Try replacing with "gpt-35-turbo" which is available by default in many AI Foundry quickstart projects.

3.Ensure proper instantiation: pick only one method

You have two instantiations of AIProjectClient:

project = AIProjectClient(...) project = AIProjectClient.from_connection_string(...)

Keep only one. If you're using from_connection_string, make sure project_connection_string is valid (retrieved from the Azure Portal or CLI), otherwise it might be falling back to an invalid endpoint, causing the Invalid URL error.

Suggested code:

from azure.ai.projects import AIProjectClient from azure.identity import DefaultAzureCredential # Use EITHER this method: project = AIProjectClient( endpoint="https://eastus2.api.azureml.ms", subscription_id="your-sub-id", resource_group_name="your-rg", project_name="your-project-name", credential=DefaultAzureCredential(), ) # OR this (make sure project_connection_string is correct) # project = AIProjectClient.from_connection_string( # conn_str=project_connection_string, credential=DefaultAzureCredential() # ) chat = project.inference.get_chat_completions_client() response = chat.complete( model="gpt-35-turbo", # Use this if "gpt-4o-mini" is not deployed messages=[ { "role": "system", "content": "Your content", }, {"role": "user", "content": "Your content"}, ], ) print(response.choices[0].message.content)

Hope this helps, do let me know if you have any further queries.

Thank you!
Prashanth Veeragoni 4,435 Reputation points Microsoft External Staff Moderator

2025-05-06T01:07:12.1633333+00:00

Hi Bharat Ruparel,

Following up to see if the above suggestion was helpful. And, if you have any further query do let me know.

Thank you!

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Prashanth Veeragoni 4,435 Reputation points Microsoft External Staff Moderator

2025-05-06T01:07:12.1633333+00:00

Hi Bharat Ruparel,

Following up to see if the above suggestion was helpful. And, if you have any further query do let me know.

Thank you!

Answer 1

Jeffrey Chen 75 Microsoft Employee

Ran into this myself too. Not sure why, but for certain OpenAI models, you now have to use the Azure OpenAI client instead of the chat completions client:

project = AIProjectClient.from_connection_string(conn_str=project_connection_string, credential=credential)
openai_client = project.inference.get_azure_openai_client(api_version="2024-06-01")
response = openai_client.chat.completions.create(
    model='gpt-4o-mini',
    messages=messages,
)
print(response.choices[0].message.content)

If you use a non-OpenAI model like Phi-4, then the code you currently have should work.

Bharat Ruparel 20 Reputation points Microsoft Employee

2025-05-06T19:10:34.5433333+00:00

Thank you Jeffery

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Running into problems trying out a Microsoft Learn Sample on AI Foundry

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