Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Compare cursor-based, offset, and keyset pagination strategies for AI agent APIs. Includes FastAPI implementations, performance analysis, and guidance on choosing the right approach for your data access patterns.
Design and implement a full Conversations API for AI agent chat sessions. Covers resource modeling, conversation lifecycle, message threading, metadata management, and FastAPI implementation patterns.
Explore URL-based, header-based, and content negotiation approaches to API versioning for AI agent platforms. Learn backward compatibility patterns, deprecation workflows, and migration strategies with FastAPI examples.
Implement long-running operations in AI agent APIs using async task patterns, polling endpoints, and webhook callbacks. Covers task lifecycle management, timeout handling, and FastAPI implementation with background workers.
Design machine-readable API error responses for AI agents using RFC 7807 Problem Details, structured error codes, and retry hints. Build error responses that agents can parse and act on programmatically.
Implement file upload APIs for AI agent platforms using multipart form data, presigned URLs, and chunked uploads. Covers size validation, type checking, virus scanning integration, and processing pipelines with FastAPI.
Configure essential security headers for AI agent APIs including CORS policies, Content Security Policy, rate limit communication headers, and other protective headers with FastAPI middleware examples.
Generate type-safe client SDKs from your AI agent API's OpenAPI specification. Covers spec design, code generation tools, custom templates, testing strategies, and distribution via PyPI and npm.
