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OpenAI Function Calling Guide
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: OpenAI
Useful reference for understanding the technical mechanics of tool-augmented LLMs and AI agents; relevant to safety discussions about agentic systems, capability elicitation, and controlling model actions in real-world environments.
Metadata
Importance: 42/100documentationreference
Summary
Official OpenAI documentation explaining how to enable language models to call external functions and APIs, allowing structured outputs and integration with real-world tools. It covers how to define functions, pass them to models, and handle model-generated function call responses. This capability is central to building AI agents and tool-augmented systems.
Key Points
- •Describes how to define functions in JSON schema format and pass them to GPT models so the model can decide when and how to call them.
- •Enables AI models to interact with external systems, APIs, and data sources, forming the basis of agentic and tool-use architectures.
- •Explains structured output generation, where models return machine-readable JSON rather than free text, improving reliability of downstream processing.
- •Covers parallel function calling, allowing models to invoke multiple tools simultaneously for efficiency.
- •Relevant to AI safety discussions around agentic systems, unintended side effects, and the challenge of specifying correct tool-use behavior.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Tool Use and Computer Use | Capability | 67.0 |
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