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

# CSV

> AI agents can analyze and process CSV data files for insights and data manipulation

Agents automatically handle CSV files when included in prompts. First validate your CSV file with Timbal's `File` type, then pass it alongside text in a list:

```python theme={"dark"}
from timbal import Agent
from timbal.types.file import File

agent = Agent(
    name="DataAgent",
    model="openai/gpt-5",
    system_prompt="Analyze CSV data and provide insights."
)

# Validate CSV file and analyze
csv_file = File.validate("path/to/data.csv")
result = await agent(
    prompt=["What insights can you find in this data?", csv_file]
).collect()

print(result.output.collect_text())
```

## Key Features

* **Automatic Processing**: CSV files are automatically parsed and converted to the correct format
* **Data Analysis**: Extract insights, patterns, and summaries from structured data
* **File Support**: Works with local files, URLs, and base64 data