> ## 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.

# AgentOS Research App - Deploy Your Parallel Agent

> Wrap a Parallel-powered research agent in AgentOS to get a production API and the AgentOS control plane in a few lines.

Wrap a Parallel-powered research agent in AgentOS to get a production API and the AgentOS control plane in a few lines. Run this file and open [http://localhost:7777](http://localhost:7777) to chat with the agent or call its REST API.

```python agent_os_app.py theme={null}
"""
AgentOS Research App - Deploy Your Parallel Agent
=================================================

Wrap a Parallel-powered research agent in AgentOS to get a production API
and the AgentOS control plane in a few lines. Run this file and open
http://localhost:7777 to chat with the agent or call its REST API.

Because this filename starts with a number, we pass the FastAPI app object to
serve() directly (live reload would need an importable "module:app" string).

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

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.tools.parallel import ParallelTools

# ---------------------------------------------------------------------------
# Create the Agent and AgentOS app
# ---------------------------------------------------------------------------
db = SqliteDb(db_file="tmp/parallel_os.db")

research_agent = Agent(
    name="Parallel Research Agent",
    model=OpenAIResponses(id="gpt-5.4"),
    tools=[ParallelTools(enable_search=True, enable_extract=True, enable_task=True)],
    db=db,
    add_history_to_context=True,
    markdown=True,
    instructions=[
        "You are a web research agent powered by Parallel.",
        "Use Search and Extract for fast lookups and the Task API for deep, "
        "cited research.",
    ],
)

agent_os = AgentOS(
    description="Parallel-powered research app",
    agents=[research_agent],
)
app = agent_os.get_app()

# ---------------------------------------------------------------------------
# Run the App
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # Open http://localhost:7777 (API docs at /docs, config at /config).
    agent_os.serve(app=app)
```

## Run the Example

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

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

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

      ```bash Windows theme={null}
      $Env:JWT_VERIFICATION_KEY="your_jwt_verification_key_here"
      $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 `agent_os_app.py`, then run:

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

Full source: [cookbook/integrations/parallel/09\_agent\_os\_app.py](https://github.com/agno-agi/agno/blob/main/cookbook/integrations/parallel/09_agent_os_app.py)