Unverified50% confidenceFactExact time
Current mainstream LLM agents do not execute code or SQL directly; instead, the model outputs structured text (usually JSON) declaring the functions and parameters to be called, which the host program then parses and executes.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedUnlike rule-based static analysis tools (such as CodeQL) or symbolic execution tools, LLMs can understand comment intent, recognize the semantics of naming conventions, and infer data flow in the absence of complete type information.77% similarUnverifiedAnythingLLM 本身不直接运行大模型推理计算，而是作为编排层负责用户界面、文档处理、向量检索、模型调度等上层逻辑72% similarUnverifiedLLMs are fundamentally autoregressive text generation models and are not designed for long-horizon task planning.72% similarUnverifiedThe flow of a direct LLM call architecture is "input → model → validate output," and the model does not control the execution path, so it is not an agent.71% similar
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