Everything you need to know about OpenAI’s NEW AI Agents
AI Summary
Summary of the Video: OpenAI SDK and Responses API
- Introduction to New Features
- Overview of OpenAI’s new API called Responses and an SDK for handling multiple agents.
- Installation of SDK
- Install the SDK using the command:
pip install openai_dash_agents- Example Project
- Create a simple function to return weather information based on city input.
- Import necessary libraries:
from Agents import agentRunner, FunctionTool- Demonstrate how to use the new Responses API with a custom tool and run async commands.
- Responses API vs. Chat Completions API
- Discusses the transition from the Chat Completions API to the Responses API, which is seen as an improved version.
- Responses API is not expected to phase out the Chat Completions API.
- Importance of starting to use the Responses API as the previous Assistance API will be deprecated by mid-2026.
- Agent Handoffs
- Introduction of the Triage Agent which can delegate questions to specialized math/history tutor agents based on the prompt.
- Show examples of logging how agents interact and delegate tasks.
- Agent Operations
- Basic steps to set up an Agent Ops account and integrate with new SDK.
- Example of creating and managing projects via a dashboard with logging capabilities.
- Streaming Capability
- Introduction to streaming output from agents and how to implement it with minimal code.
- Web Search Tool
- Demonstration of a web search tool included in the SDK, capable of fetching local news relevant to the user’s location.
- Output Types and Cloning Agents
- Discusses output types with examples of dramatic vs. less dramatic responses to the same weather prompt.
- Illustrates how to clone agents while updating specific parameters.
- Conclusion
- Notes on the open-source characteristics of the SDK and concerns about vendor lock-in with OpenAI models.
- Encourages exploring AI agent creation and management using the new SDK while being aware of its limitations.