Security in Enterprise AI
Unlock full-stack flexibility with Python nodes, custom API calls, reusable tools, and export APIs for production deployment.
StackAI isn’t just for no-code builders—its developer capabilities let you run custom Python, connect any REST service, create OpenAPI-based tools, and deploy workflows as scalable backend APIs. Whether you’re prototyping or shipping enterprise apps, these features bridge AI models with your existing stack—securely and efficiently.
Summary
- Python Node: run custom code in a sandbox with popular libraries pre-installed; perfect for data transforms, calculations, or advanced logic 
- Custom API Tool: call any REST endpoint (GET, POST, PUT, DELETE) with configurable URL, headers, auth, and request body 
- Chunk API responses into doc-like chunks so LLMs can process large datasets without context overload 
- Reusable Tools via OpenAPI: define endpoints once, expose them as tools across every workflow, and share them team-wide for consistency 
- Export API: turn workflows into backend services you can embed in your own UI or product, with SDK snippets in multiple languages 
- Built-in analytics extraction endpoints for monitoring usage and performance 
- Developer docs cover libraries, endpoint specs, authentication, and best practices 
- When native integrations are missing, the Custom API tool lets you build exactly what you need—no limits 
- Next up: keep extending your agents with advanced monitoring and observability features 


