Glossary › LLM

Function Calling

Structured output capability where the model generates a JSON function call with arguments. Enables tool use, API integration, and agent workflows. More reliable than free-text parsing.

Where this is taught

• Agent Patterns — ReAct, Function Calling, and Tool Selection — Phase 5: AI Agents in Workflows
• Structured Outputs & Function Calling — Phase 0: LLM Fast Track
• Structured Output from LLMs — JSON Schemas, Function Calling, and Validation — Phase 3: AI Document Processing & Data Extraction
• Tool/Function Calling During Voice Conversations — Phase 4: LLM Orchestration for Voice
• Dify Agent Configuration — Tools, Strategies, and Autonomy — Phase 6: Dify & Visual AI App Builders
• Vapi: BYO-Stack Voice Agent Platform — Phase 7: Voice Agent Frameworks

Related terms

Tool Use · Agent

More in LLM

Hallucination · Temperature · Token · Context Window · Top-p (Nucleus Sampling) · In-Context Learning · System Prompt

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