Conversation Branching and History Management
Master conversation branching, undo operations with pop_item, history pruning strategies, and session input callbacks for advanced history customization in the OpenAI Agents SDK.
Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Master conversation branching, undo operations with pop_item, history pruning strategies, and session input callbacks for advanced history customization in the OpenAI Agents SDK.
Use the OpenAI Conversations API with conversations.create, previous_response_id chaining, and auto_previous_response_id for server-side history management in AI agents.
Learn production-grade content moderation patterns for AI agents including moderation agent guardrails, rate limiting, abuse prevention, and red-teaming strategies using the OpenAI Agents SDK.
Use SQLAlchemySession with PostgreSQL and asyncpg for production-grade persistent agent memory including connection pooling, auto table creation, and migration strategies.
Learn how to systematically test and red-team your AI agent guardrails with adversarial prompt injection detection, guardrail bypass attempts, automated test suites, and continuous evaluation pipelines.
End-to-end tutorial for building a production-ready stateful customer service agent with database integration, order history, multi-turn issue resolution, and persistent sessions.
Understand the core architecture of voice AI agents — STT to Agent to TTS pipelines, the VoicePipeline SDK approach vs the Realtime API WebRTC approach, and when to use each for production voice applications.
Step-by-step tutorial to build a working voice agent using OpenAI's VoicePipeline — from installing dependencies and capturing microphone audio to streaming agent responses through your speakers.
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