ModelRefs / Agent Assist — Architecture Blueprint

Agent Assist — Architecture Blueprint

Production architecture blueprint for Agent Assist: components, deployment patterns, cost & latency optimization, security, observability, and the production launch checklist.

Overview

Agent assist surfaces real-time support to human agents during live customer conversations. As the conversation progresses, a streaming language model monitors the dialogue, retrieves relevant knowledge-base articles, suggests next-best-reply options and flags policy violations before the agent sends a response. The system operates with sub-second latency without interrupting the agent's flow. All suggestions are logged with retrieved sources so quality reviewers can audit decisions and improve the knowledge base.

Implementation profile

Categoryllms
Implementation maturityproduction
Evidence statusincomplete
Primary use casescustomer-support
Deployment optionsmanaged-api, hybrid
Architecturesserverless-api, managed-container, edge-runtime

Candidate models with published references

Coverage means the model is a candidate worth evaluating for this workflow, not a ranking or a recommendation. Models whose reference pages are still in review are omitted.

Benchmarks relevant to this workflow

miracl, mkqa, mldr, swe-bench, aider-polyglot, gpqa, aime-2025, tau-bench, browsecomp-long-context, longfact-concepts, terminal-bench, mmmu, mmlu-pro, livecodebench.

Relevance is a coverage signal from the canonical registry. Each benchmark only describes its own protocol and date, so confirm the harness matches your workload before treating a score as evidence.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Agent Assist — Architecture Blueprint.