Introduces failure-aware observability framework for diagnosing wasted computation in multi-agent LLM systems and evaluates it on 165 GAIA traces showing common operational failures.
TA-Mem: Tool-augmented autonomous memory retrieval for LLM in long-term conversational QA,
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Early Diagnosis of Wasted Computation in Multi-Agent LLM Systems via Failure-Aware Observability
Introduces failure-aware observability framework for diagnosing wasted computation in multi-agent LLM systems and evaluates it on 165 GAIA traces showing common operational failures.