azure-ai-inference : LangChain `AzureAIChatCompletionsModel` Does Not Support OpenAI-Style JSON Schema Format

• Issue description
  When using langchain_azure_ai.AzureAIChatCompletionsModel with structured output (e.g., create_agent(..., response_format=ProviderStrategy()...), the integration fails with:
  ValueError: Unsupported response_format {'type': 'json_schema', 'json_schema': {...}}
  This occurs in azure/ai/inference/_patch.py

• Steps to Reproduce

  from langchain_azure_ai.chat_models import AzureAIChatCompletionsModel
  from pydantic import BaseModel, Field
  import os
  
  llm = AzureAIChatCompletionsModel(
      endpoint=os.getenv("GITHUB_INFERENCE_ENDPOINT"),
      credential=os.getenv("GITHUB_TOKEN"),
      model="gpt-4o",
  )
  
  class ContactInfo(BaseModel):
      name: str = Field(description="The name of the person")
      email: str = Field(description="The email of the person")
      phone: str = Field(description="The phone number of the person")
  
  agent = create_agent(
      model = gllm_4_1,
      tools = [search_tool],
      response_format=ProviderStrategy(ContactInfo)
  )
  
  agent.invoke({"messages": [HumanMessage(content="Extract contact info from: John Doe, john@example.com, (555) 123-4567")]})
  
  

• Alternatives considered
  Use langchain-openai instead, which treats Azure-compatible endpoints as OpenAI endpoints.

Commencez par reproduire l’exemple de sortie structurée et inspectez azure/ai/inference/_patch.py, où l’erreur de response_format non pris en charge se produit. Suivez la manière dont le format json_schema de type OpenAI-style est validé, puis vérifiez que AzureAIChatCompletionsModel accepte le format et que l’invocation de sortie structurée s’achève sans le ValueError.