Azure Agentic retrieval fails with unhelpful error response in spite of correct setup

[praveentrilogy]

When using the example python notebook provided for agentic search, after having configured everything correctly, I get the following response:

HttpResponseError                         Traceback (most recent call last)
[<ipython-input-15-2404588752>](https://localhost:8080/#) in <cell line: 0>()
     12 })
     13 
---> 14 retrieval_result = agent_client.retrieve(
     15     retrieval_request=KnowledgeAgentRetrievalRequest(
     16         messages=[KnowledgeAgentMessage(role=msg["role"], content=[KnowledgeAgentMessageTextContent(text=msg["content"])]) for msg in messages if msg["role"] != "system"],

3 frames
[/usr/local/lib/python3.11/dist-packages/azure/search/documents/agent/_generated/operations/_knowledge_retrieval_operations.py](https://localhost:8080/#) in retrieve(self, retrieval_request, x_ms_query_source_authorization, request_options, **kwargs)
    219             map_error(status_code=response.status_code, response=response, error_map=error_map)
    220             error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
--> 221             raise HttpResponseError(response=response, model=error)
    222 
    223         deserialized = self._deserialize("KnowledgeAgentRetrievalResponse", pipeline_response.http_response)

HttpResponseError: () An error has occurred.
Code: 
Message: An error has occurred.

Steps I followed:

• Clone the notebook
• Created the AI search index on the "Standard" tier
• Created an Open AI service
• Created the gpt-4o deployment
• Used text-embedding-3-large embedding
• Added the following permissions for the user - Search Service Contributor, Search Index Data Contributor, Search Index Data Reader
• Added all the necessary keys
• Executed your notebook code