> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure OpenAI with Reasoning Tools

> Pair ReasoningTools with WebSearchTools on an AzureOpenAI gpt-4o-mini agent to research and reason through a report.

**1. Add the following code to your Python file**

```python azure_openai_reasoning_tools.py theme={null}
from agno.agent import Agent
from agno.models.azure.openai_chat import AzureOpenAI
from agno.tools.reasoning import ReasoningTools
from agno.tools.websearch import WebSearchTools

reasoning_agent = Agent(
    model=AzureOpenAI(id="gpt-4o-mini"),
    tools=[
        WebSearchTools(),
        ReasoningTools(
            enable_think=True,
            enable_analyze=True,
            add_instructions=True,
            add_few_shot=True,
        ),
    ],
    instructions="Use tables where possible. Think about the problem step by step.",
    markdown=True,
)

reasoning_agent.print_response(
    "Write a report comparing NVDA to TSLA.",
    stream=True,
    show_full_reasoning=True,
)
```

<Snippet file="create-venv-step.mdx" />

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai ddgs
```

**3. Export your Azure OpenAI credentials**

```bash Mac/Linux theme={null}
  export AZURE_OPENAI_API_KEY="your_azure_openai_api_key_here"
  export AZURE_OPENAI_ENDPOINT="your_azure_openai_endpoint_here"
  export AZURE_OPENAI_DEPLOYMENT="your_azure_openai_deployment_here"
```

```bash Windows theme={null}
  $Env:AZURE_OPENAI_API_KEY="your_azure_openai_api_key_here"
  $Env:AZURE_OPENAI_ENDPOINT="your_azure_openai_endpoint_here"
  $Env:AZURE_OPENAI_DEPLOYMENT="your_azure_openai_deployment_here"
```

**4. Run Agent**

```bash theme={null}
python azure_openai_reasoning_tools.py
```


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