In this episode, we explore OpenAI’s newly launched Responses API and Agents SDK, which represent significant advancements for businesses and marketers implementing AI agents. This new API combines the simplicity of the chat completions API with the tool use capabilities of the assistants API, allowing developers to integrate OpenAI models and built-in agent tools into applications more seamlessly. The episode breaks down the three powerful tools included in this API—web search, file search, and computer use—and explains how they can be leveraged for various business use cases, particularly in marketing. We also provide a basic step-by-step guide on setting up and using these new tools for those interested in exploring them.
Keywords
- OpenAI
- Responses API
- Agents SDK
- Web Search Tool
- File Search Tool
- Computer Use Tool
- API Integration
- Agentic AI
- Custom Agents
- Enterprise Solutions
- AI Marketing
- Developer Tools
- ChatGPT
- AI Implementation
- API Calls
- Task Automation
Key Takeaways
Platform Capabilities
- Combines functionality of chat completions API and assistants API
- Solves complex tasks with a single API call rather than multiple
- Streamlines and speeds up the development process
- Provides three powerful built-in tools for comprehensive agent functionality
- Enables developers to trace and inspect workflow operations
- Allows multiple API instances to collaborate on complex challenges
Built-in Tools
- Web Search Tool: Powered by the same model as ChatGPT search
- Provides real-time information from the web
- Includes citations and sources
- Compiles information efficiently
- File Search Tool: For processing large datasets
- Retrieves information from huge files and documents
- Processes and filters through variable metadata
- Particularly useful for large code bases, databases, and documentation
- Applicable for legal and healthcare use cases
- Computer Use Tool: Powers the operator feature
- Performs tasks directly on computer screens through visual interface
- Enables automation backed by information retrieval capabilities
- Creates end-to-end task completion capabilities
Agenst SDK Functionality
- Allows utilization of multiple instances/units of the Responses API
- Facilitates tracing and inspection of workflow operations
- Enables debugging and optimization of agent processes
- Handles more complex challenges through collaboration of fundamental units
Business Use Cases
- Customer service automation
- IT operations enhancement
- Finance and legal document processing
- Healthcare information management
- Content creation and research for marketing
- Sales agent implementation
- Customer service agent development
- Virtual influencer/avatar creation
- Processing of proprietary databases
- Internal system integration
Strategic Considerations
- Ideal for enterprises with sensitive or high-value use cases
- Not necessarily needed if simpler out-of-box solutions will suffice
- Many SaaS agent platforms available for non-coders (Crew.ai, Lindy.ai, Agents.ai, Convergence.ai)
- Important for marketers working with enterprise clients
Practical Applications
- Creating research-backed content with citations
- Processing internal databases for insights
- Building custom agents for specialized tasks
- Integrating AI capabilities with existing business systems
- Automating complex multi-step processes
Links
https://openai.com/index/new-tools-for-building-agents/
https://www.perplexity.ai/search/please-research-and-describe-i-Lxe1uG5QSm.blLqbRNYWZw
https://dappier.com/2025/03/08/openai-responses-api/
https://sdtimes.com/ai/openai-reveals-responses-api-agents-sdk-for-building-agentic-experiences/
https://www.theverge.com/news/627556/openai-ai-agents-responses-api-agents-sdk
https://www.maginative.com/article/openai-launches-responses-api-and-agents-sdk-for-ai-agents/
