Developer Integration Path
Developers and integration engineers
Everything you need to integrate Enkrypt AI into your applications. Covers API setup, SDK usage, deployment configurations, and troubleshooting common integration challenges.
For
Developers and integration engineers
Duration
2 hr 27 min
Lessons
15 lessons
Lessons in This Path
Getting Started(2 lessons)
Platform Overview & Navigation
A section-by-section tour of the Enkrypt AI dashboard.
Quick Integration Guide
Connect Enkrypt AI to your applications using Python SDK or AI Proxy
Guardrails(6 lessons)
Creating Guardrail Configurations
Step-by-step guide to creating and configuring guardrail setups
Configuring Deployments
Connect your guardrail configurations to AI models and create protected endpoints
AI Proxy Integration
Integrate guardrails with minimal code changes using the AI proxy endpoint
Python SDK Integration
Use the Python SDK for custom workflows and direct guardrail calls
Batch Processing Logs
Process multiple texts efficiently using the batch detection API with rate limit handling
Passing Conversation Lists to Guardrails
Learn how to serialize multi-turn conversation lists and pass them to all guardrail types, including policy-based detectors
Endpoints(2 lessons)
Adding Multimodal Model Endpoints
Configure endpoints for models that handle images, audio, and text
Adding Agent Endpoints
Configure endpoints for AI agents with tool use and RAG systems
MCP Security(2 lessons)
Installing the Secure MCP Gateway
Install and set up the Secure MCP Gateway to protect your MCP infrastructure
Configuring the Gateway
Configure MCP servers, guardrails, and security policies in the gateway
Agent Hooks(3 lessons)
Installing Hooks on Your IDE
Step-by-step installation of Guardrail Hooks for Cursor, Claude Code, Kiro, GitHub Copilot, and Claude Desktop
Installing Hooks for Agent Frameworks
Add Guardrail Hooks to LangChain, LangGraph, CrewAI, OpenAI Agents SDK, and Strands with framework-specific integration snippets
Configuring Your Guardrail Policy
Master the guardrails_config.json file — hook events, detectors, sensitive tools, per-workspace vs global config, and common configuration patterns
What You'll Learn
- Integrate Enkrypt AI using Python SDK
- Configure AI proxy endpoints
- Implement guardrails in production workflows
- Set up and manage model endpoints
- Troubleshoot common integration issues
Complete to earn
Integration Pro