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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Learn how to install the OpenAI Python SDK, configure your API key, make your first chat completion request, and parse the response object. A complete beginner-friendly walkthrough.
Understand the message format, system/user/assistant roles, temperature, max_tokens, top_p, and other parameters that control OpenAI chat completion behavior.
Learn how to stream OpenAI responses token-by-token using the Python SDK, implement async streaming for web applications, and display incremental results to users.
Master OpenAI's function calling feature to let language models invoke your Python functions, parse structured arguments, and build tool-augmented AI applications.
Build resilient applications that gracefully handle OpenAI API errors with exponential backoff, rate limit management, circuit breakers, and fallback strategies.
Learn how to generate text embeddings with OpenAI's API, understand embedding dimensions, implement batch embedding, and build practical search and similarity applications.
Master OpenAI's JSON mode and structured outputs to extract reliable, schema-validated data from LLMs with guaranteed format compliance and Pydantic integration.
Learn how to securely manage OpenAI API keys using environment variables, key rotation, organization and project keys, proxy patterns, and secrets management.
