Uploaded March 2025 | Updated September 2026, 3 weeks ago
🚀 Access ALL video resources & get personalized help in my community:
skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69
Learn everything you need to know about OpenAI's new Responses API, which will replace both the Completions and Assistance APIs in the near future. This comprehensive Python tutorial guides you through setting up the SDK, sending messages to both chat and reasoning models, working with multimodal inputs, managing conversation history through stateful interactions, implementing structured output, and utilizing built-in tools like file search, web search, and computer use. Discover how to create AI agents with custom function tools and give them browser control using the computer use tool. This video covers model selection, system instructions, streaming responses, input formatting, reasoning models with adjustable effort levels, and essential implementation details to help you build advanced AI applications with OpenAI's most powerful interface for generating model responses.
🙏 Support My Channel:
Buy me a coffee ☕ : buymeacoffee.com/leonvanzyl
PayPal Donation: paypal.com/ncp/payment/EKRQ8QSGV6CWW
📑 Useful Links:
Watch the full Responses API Course here: youtube.com/playlist?list=PL4HikwTaYE0GgR36Px9iXb9bNgrLihCnG
Responses API Docs: platform.openai.com/docs/api-reference/responses
Code in Github: github.com/leonvanzyl/openai-responses-api-tutorial-python
Create an OpenAI API Key: youtu.be/gBSh9JI28UQ
🕒 TIMESTAMPS:
00:00 - Course introduction
02:02 - Project setup
03:18 - Installing OpenAI Package
03:41 - Create Responses Messages
04:56 - Passing the API Key
06:56 - Adding a System Message
07:40 - List of input messages
10:17 - Streaming Responses
14:13 - Reasoning Models
#openai #openaitutorial #openaiapi
🚀 Access ALL video resources & get personalized help in my community:
skool.com/agentic-labs/about?ref=3fd61190e13d426dbf4f3b38adc7de69
Learn everything you need to know about OpenAI's new Responses API, which will replace both the Completions and Assistance APIs in the near future. This comprehensive Python tutorial guides you through setting up the SDK, sending messages to both chat and reasoning models, working with multimodal inputs, managing conversation history through stateful interactions, implementing structured output, and utilizing built-in tools like file search, web search, and computer use. Discover how to create AI agents with custom function tools and give them browser control using the computer use tool. This video covers model selection, system instructions, streaming responses, input formatting, reasoning models with adjustable effort levels, and essential implementation details to help you build advanced AI applications with OpenAI's most powerful interface for generating model responses.
🙏 Support My Channel:
Buy me a coffee ☕ : buymeacoffee.com/leonvanzyl
PayPal Donation: paypal.com/ncp/payment/EKRQ8QSGV6CWW
📑 Useful Links:
Watch the full Responses API Course here: youtube.com/playlist?list=PL4HikwTaYE0GgR36Px9iXb9bNgrLihCnG
Responses API Docs: platform.openai.com/docs/api-reference/responses
Code in Github: github.com/leonvanzyl/openai-responses-api-tutorial-python
Create an OpenAI API Key: youtu.be/gBSh9JI28UQ
🕒 TIMESTAMPS:
00:00 - Course introduction
02:02 - Project setup
03:18 - Installing OpenAI Package
03:41 - Create Responses Messages
04:56 - Passing the API Key
06:56 - Adding a System Message
07:40 - List of input messages
10:17 - Streaming Responses
14:13 - Reasoning Models
#openai #openaitutorial #openaiapi
