HECATE generates and validates ten complexity metrics (seven new) for LLM apps by treating prompts as behavioral specifications and filtering against maintenance activity from version history, showing prompt complexity as an independent factor.
Unified tool integration for LLMs: A protocol- agnostic approach to function calling,
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New Text-to-Big SQL metrics show that LLM agents must balance accuracy with cost and speed at scale, where GPT-4o trades some accuracy for up to 12x speedup and GPT-5.2 proves more cost-effective than Gemini 3 Pro on large inputs.
SelfHeal uses two ReAct agents and empirical fix patterns to repair bugs in LLM agents, outperforming baselines on a new 37-instance benchmark.
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Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code
HECATE generates and validates ten complexity metrics (seven new) for LLM apps by treating prompts as behavioral specifications and filtering against maintenance activity from version history, showing prompt complexity as an independent factor.