Definition

What is Agent Reliability?

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The consistency of an AI agent's output and success across repeated runs of the same task, rather than its performance on a single run.

Agent reliability is distinct from raw capability: an agent can be capable on average yet unreliable, producing a correct result on one run and a wrong one on the next from identical inputs. Most of this variance is not intrinsic model randomness but a context engineering problem, because each run assembles context differently (retrieval order, memory state, tool outputs), so the model diverges even at temperature zero. Reliability is measured with pass@k and variance, not single-run pass@1.

Related Agent Drift Context Drift Context Engineering Multi-Agent System Context Rot

Further reading

Articles about Agent Reliability

AI agent reliability is a context problem

AI agent reliability fails because the same task assembles different context every run. Non-determinism is a context engineering problem, not a model flaw.

All terms

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Agent Drift Agent Reliability AI Agent AI Hallucination AI Second Brain Chunking Context as a Service Context Bloat Context Compression Context Container Context Drift Context Engineering Context Offloading Context Poisoning Context Portability Context Pruning Context Rot Context Window Epistemic Provenance Fine-Tuning Knowledge Graph MCP Resources MCP Server MCP (Model Context Protocol) Multi-Agent System Prompt Caching Prompt Engineering RAG (Retrieval-Augmented Generation) Semantic Search Structured Context Tool Poisoning Wire

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