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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A practical guide to building a TypeScript SDK for an AI agent platform, covering package setup with tsup, strong type definitions, a fetch-based HTTP client, and JSDoc-powered inline documentation.
Learn how to implement multiple authentication strategies in AI agent SDKs, including API key management, OAuth 2.0 flows, automatic token refresh, and authentication middleware patterns.
Learn how to implement robust retry policies, error classification, timeout configuration, and structured logging in AI agent SDK client libraries for production reliability.
Learn how to implement streaming support in AI agent SDKs using Server-Sent Events, async iterators, event handling patterns, and automatic reconnection for real-time response delivery.
Learn testing strategies for AI agent SDKs including unit tests for parsers and models, integration tests against live APIs, VCR-style recorded HTTP fixtures, and CI/CD pipeline configuration.
Learn how to create comprehensive SDK documentation using auto-generated API references from docstrings, tested code examples, versioned documentation sites, and getting started guides that drive adoption.
Learn systematic techniques for diagnosing why an LLM produces incorrect or surprising outputs, including prompt debugging, temperature tuning, few-shot correction, and structured output analysis.
Master techniques for diagnosing tool call failures in AI agents, from call logging and parameter inspection to mock execution and replay testing for reliable tool integrations.
