Redis Sessions for Distributed Agent Deployments
Set up RedisSession in the OpenAI Agents SDK for distributed AI agent deployments with session sharing across instances, production configuration, and worker coordination.
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From the blog
Set up RedisSession in the OpenAI Agents SDK for distributed AI agent deployments with session sharing across instances, production configuration, and worker coordination.
Master OpenAIResponsesCompactionSession for automatic and manual compaction of long agent conversations including token management, custom triggers, and compaction strategies.
Go beyond plain text responses. Learn how to return images, files, and structured data from OpenAI Agents SDK tools using ToolOutputImage, ToolOutputFileContent, and ToolOutputText.
Learn how to control sensitive data in OpenAI Agents SDK traces using trace_include_sensitive_data, environment variables, and GDPR-compliant tracing strategies for production AI systems.
Learn how to build sequential agent pipelines where the output of one agent feeds directly into the next, using structured outputs for clean handoffs 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 how to share sessions across multiple AI agents in the OpenAI Agents SDK for context continuity, handoff-aware patterns, and building multi-agent support systems.
Learn how to use the OpenAI Agents SDK ShellTool to give agents the ability to run system commands inside hosted containers, configure network policies, and manage container skills.
Use SQLAlchemySession with PostgreSQL and asyncpg for production-grade persistent agent memory including connection pooling, auto table creation, and migration strategies.
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