Use the Responses API with Azure OpenAI deployments

Agno's AzureOpenAIResponses points the AzureOpenAI client at your AZURE_OPENAI_ENDPOINT and gives your deployment the tools, structured output, streaming and background responses of OpenAIResponses. Until now, Agno's AzureOpenAI model gave Azure users Chat Completions only.

from agno.agent import Agent
from agno.models.azure import AzureOpenAIResponses
 
agent = Agent(
    model=AzureOpenAIResponses(id="gpt-5.6-luna"),  # your Azure deployment name
    markdown=True,
)
agent.print_response("Explain why regression tests matter in one paragraph.")

Set id to your Azure deployment name. Azure's Responses endpoint reads the deployment from the request body, and AzureOpenAIResponses sends your id there unchanged. The model raises a ValueError at startup if id is missing.

AzureOpenAIResponses reads its connection from the environment when you don't pass it:

For Entra ID, pass azure_ad_token_provider or azure_ad_token. AzureOpenAIResponses uses one authentication method at a time, so an Entra ID credential never gets mixed with an API key from your environment.

Deployment names are yours to choose, so Agno can't always tell a reasoning model from its name. If your deployment serves a reasoning model and its name doesn't start with the model name, set is_reasoning_model=True.

See the cookbook, and learn more about Azure OpenAI and the OpenAI Responses model in the documentation.