> ## 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.

# Basic Agent Events

> Stream run lifecycle, tool call, and content events from an agent with stream_events=True.

Basic Agent Events.

```python basic_agent_events.py theme={null}
"""
Basic Agent Events
=============================

Basic Agent Events.
"""

import asyncio

from agno.agent import RunEvent
from agno.agent.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.yfinance import YFinanceTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
finance_agent = Agent(
    id="finance-agent",
    name="Finance Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[YFinanceTools()],
)


async def run_agent_with_events(prompt: str):
    content_started = False
    async for run_output_event in finance_agent.arun(
        prompt,
        stream=True,
        stream_events=True,
    ):
        if run_output_event.event in [RunEvent.run_started, RunEvent.run_completed]:
            print(f"\nEVENT: {run_output_event.event}")

        if run_output_event.event in [RunEvent.tool_call_started]:
            print(f"\nEVENT: {run_output_event.event}")
            print(f"TOOL CALL: {run_output_event.tool.tool_name}")  # type: ignore
            print(f"TOOL CALL ARGS: {run_output_event.tool.tool_args}")  # type: ignore

        if run_output_event.event in [RunEvent.tool_call_completed]:
            print(f"\nEVENT: {run_output_event.event}")
            print(f"TOOL CALL: {run_output_event.tool.tool_name}")  # type: ignore
            print(f"TOOL CALL RESULT: {run_output_event.tool.result}")  # type: ignore

        if run_output_event.event in [RunEvent.run_content]:
            if not content_started:
                print("\nCONTENT:")
                content_started = True
            else:
                print(run_output_event.content, end="")


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    asyncio.run(
        run_agent_with_events(
            "What is the price of Apple stock?",
        )
    )
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/02\_agents/14\_advanced/basic\_agent\_events.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/14_advanced/basic_agent_events.py)


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