Chat Agent UI: Streaming Responses with Server-Sent Events
Build a streaming chat UI for OpenAI Agents SDK chat agents using run_streamed(), FastAPI SSE endpoints, and a React frontend with real-time token rendering.
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Build a streaming chat UI for OpenAI Agents SDK chat agents using run_streamed(), FastAPI SSE endpoints, and a React frontend with real-time token rendering.
Master conversation branching, undo operations with pop_item, history pruning strategies, and session input callbacks for advanced history customization in the OpenAI Agents SDK.
Integrate Anthropic, Google, Mistral, and other LLM providers into OpenAI's Agents SDK using LiteLLM's unified interface with LitellmModel, provider prefix notation, and cross-provider tracing.
Build a production-ready end-to-end guardrail pipeline combining input validation, output sanitization, and tool-level guardrails using the OpenAI Agents SDK with full working code.
Master the @function_tool decorator in the OpenAI Agents SDK. Learn how to create sync and async tools, handle complex parameters, and wire multiple custom tools into your agents.
Set up RedisSession in the OpenAI Agents SDK for distributed AI agent deployments with session sharing across instances, production configuration, and worker coordination.
Implement secure MCP agents with static and dynamic tool filtering using create_static_tool_filter, ToolFilterContext-based dynamic filters, and granular approval policies for safe tool execution.
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.
Build iterative agent workflows where a task agent produces output and a feedback agent evaluates it, creating self-correcting loops with convergence criteria in the OpenAI Agents SDK.
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