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CodeSignal

Controlling and Securing OpenAI Agents Execution in JavaScript

via CodeSignal

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Overview

Keep your agents secure, private, and reliable. This course covers safely handling sensitive data, using lifecycle hooks to monitor and customize agent workflows, and applying guardrails to validate and filter all agent inputs and outputs.

Syllabus

  • Unit 1: Securely Injecting Sensitive Data into Agents
    • Securing Sensitive Data with Context
    • Injecting Context into Agent Runtime
    • Examining the Secure Conversation Flow
    • Context Sharing Across Agent Handoffs
    • Multiple Tools Sharing Secure Context
  • Unit 2: Tapping into Agent Workflows with Event Listeners
    • Building Your First Agent Monitor
    • Comprehensive Agent Workflow Event Monitoring
    • Agent Specific Event Listener Implementation
    • Dynamic Context Injection with Event Listeners
    • Refactoring Event Listeners for Targeted Monitoring
  • Unit 3: Protecting Agents with Input Guardrails
    • Implementing Guardrail Output Structure
    • Implementing Input Guardrails for Agent Protection
    • Building a Content Analysis Agent
    • Implementing LLM-Based Input Guardrails
    • Implementing Layered Input Guardrails
  • Unit 4: Securing Agent Responses with Output Guardrails
    • Convert Input Guardrail to Output Guardrail
    • Converting LLM-Based Input Guardrail to Output Guardrail
    • Building an Intelligent Output Guardrail for Data Leak Prevention
    • Attaching Input and Output Guardrails to an Agent

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