The Python Guides provide practical examples and step-by-step instructions for integrating Athena’s capabilities into your Python applications and data workflows. These guides are designed for developers who want to leverage Athena’s AI agents, data processing tools, and automation features programmatically. You’ll find guides covering essential tasks like building with agents for long-running research and analysis, loading data frames from CSV and Excel files into your workspace, uploading files and assets programmatically, creating new assets, and generating structured output from AI interactions. Each guide includes complete code examples showing how to use the Athena Python SDK to accomplish real-world tasks.Documentation Index
Fetch the complete documentation index at: https://resources.athenaintel.com/llms.txt
Use this file to discover all available pages before exploring further.
Build with Agents
Use the General Agent for long-running tasks with tool use
Use Models Directly
Interact with language models for conversational AI
Load Data Frames
Import CSV and Excel files as data frames
Upload Files
Programmatically upload files to your workspace
Create Assets
Generate new workspace assets via SDK
Structured Output
Get structured responses from AI interactions