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

# Parallel Quickstart - Web Research Agent

> The smallest possible Parallel-powered agent: give an Agent the Parallel Search API and ask it something that needs fresh information from the web.

```python quickstart.py theme={null}
"""
Parallel Quickstart - Web Research Agent
========================================

The smallest possible Parallel-powered agent: give an Agent the Parallel
Search API and ask it something that needs fresh information from the web.

Parallel's Search API is built for agents - it takes a natural-language
objective and returns ranked excerpts the model can reason over directly,
so a single tool call is usually enough to ground an answer.

Prerequisites:
- pip install parallel-web
- export PARALLEL_API_KEY=<your-api-key>
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.parallel import ParallelTools

# ---------------------------------------------------------------------------
# Create the Agent
# ---------------------------------------------------------------------------
# ParallelTools enables the Search and Extract APIs by default.
agent = Agent(
    model=OpenAIResponses(id="gpt-5.4"),
    tools=[ParallelTools()],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run the Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "What did Parallel (parallel.ai) launch most recently, and when?",
        stream=True,
    )
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai parallel-web
    ```
  </Step>

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      export PARALLEL_API_KEY="your_parallel_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      $Env:PARALLEL_API_KEY="your_parallel_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `quickstart.py`, then run:

    ```bash theme={null}
    python quickstart.py
    ```
  </Step>
</Steps>

Full source: [cookbook/integrations/parallel/01\_quickstart.py](https://github.com/agno-agi/agno/blob/main/cookbook/integrations/parallel/01_quickstart.py)