> ## 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.

# 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

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

**1. Install dependencies**

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

**2. Export your API keys**

```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"
```

**3. Run the example**

Save the code above as `quickstart.py`, then run:

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

Full source: [cookbook/integrations/parallel/01\_quickstart.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/integrations/parallel/01_quickstart.py)


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