Structured Outputs and Function Calling Deep Dive (ANSWERED)
Project question on JSON schema mode, tool/function calling, validation loops, and agent reliability patterns.
TL;DR — Quick Answer
Structured outputs constrain the model to valid JSON matching a schema (JSON mode / response_format) — critical for pipelines. Function calling (tool use) lets the model emit tool name + arguments for your runtime to execute. Production reliability requires: strict schema validation, retry with error feedback, idempotent tools, timeouts, allowlisted functions, parallel tool call handling, and separating "planning" from execution with guardrails. Never trust raw model JSON without validation before side effects.
The Interview Question
Explain structured outputs and function calling in LLM APIs. How do you make them reliable in production agents and integrations?
Deep Explanation
Structured outputs
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Function CallingJSON SchemaToolsAgentsValidationOpenAIAnthropicMicrosoft