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