Why Structured Outputs by OpenAI Change Everything

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AI Summary

Summary of Video Transcript

Introduction to Structured Outputs by OpenAI

• Structured outputs by OpenAI ensure perfectly structured outputs matching your schema every time.
• Only 8% of companies use AI in more than five functions, often due to inaccuracy and hallucination issues.
• OpenAI claims to have reached 100% accuracy on their evaluations with structured outputs.

Function Calling and AI Agents

• Function calling is essential for AI agents, allowing them to call external functions or tools.
• Traditional programming can’t account for all real-world scenarios, leading to rigid and limited automation.
• AI agents execute functions dynamically without needing hardcoded conditions, using JSON schemas to understand function parameters.

Structured Outputs

• Structured outputs constrain the AI’s choices to match the JSON schema, ensuring 100% accuracy.
• Two ways to use structured outputs:
  • With function calling by setting strict=true in your function definition.
  • Through a new option in the response format parameter.

Limitations and Recommendations

• Initial use may cause a delay due to schema processing.
• Not all complex schemas are supported.
• Not eligible for zero data retention policy.
• Recommended for mission-critical tools, frequently used tools, or large nested schemas.

Practical Implementation

• Install or update the latest OpenAI package and set the model to GPT-4.0.
• Test structured outputs using function calling and the OpenAI SDK.
• Define a function schema with strict mode set to true.
• Create helper functions to retrieve and print tool calls.
• Use the new response format parameter for direct use with OpenAI SDK.
• Consider data privacy concerns and limitations when using structured outputs.

Using Structured Outputs with Agency SW Framework

• Set up the OpenAI client and define weather function schema.
• Use ToolFactory class or define a base tool directly for function calling.
• Create an agency with one agent and run prompts to get correct outputs.
• Define a math reasoning model and use it with the response format parameter.
• Parse the result using the model’s validateJson function.

Conclusion

• Structured outputs by OpenAI offer a significant advancement for AI agent developers.
• The video provides a guide on how to implement and use structured outputs for reliable AI agents.

Detailed Instructions and Tips

• No specific CLI commands, website URLs, or detailed tips provided in the transcript.