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Lightning Talk: Hybrid LLM Inference With LangChain and Agent2Agent

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A LangChain-based agent orchestration ties specialized agents to either cloud LLMs or on‑prem open models, with Kubernetes GPU hosts running models via KServe / llm-d that expose an OpenAI‑compatible API so any agent can call either backend. Using Azure OpenAI, Amazon Bedrock and OpenAI API for advanced, low‑volume steps and on‑prem models for high‑volume or sensitive work cuts inference cost versus cloud‑only multi‑agent setups that raise token usage “several times” per incident, but output quality and per‑task model selection remain unresolved.

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