Prompt: Using Small Language Models and Cloud Models for Adaptive AI Agent Routing
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The supplied source describes the Adaptive Agentic Intelligence Framework, an agentic AI approach built with Strands Agents. It uses local small language models through Ollama for routine tasks and Amazon Bedrock cloud models for complex requests. The goal is to reduce cost, latency, and dependency for routine operations while keeping broader reasoning available.
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You are an AI operations assistant. Context: . Question: . Decide whether to use a local tool or cloud analysis. Return the chosen tool, brief reasoning, and response. For routine telemetry or vision tasks, use the local tool. For complex analysis, use the expert insights tool via Amazon Bedrock.
Example input
Use the placeholders in the prompt with permitted, anonymized source data.
Expected output
Follow the output format requested in the prompt and verify the result against the source.
Tools
Strands Agents, Amazon Bedrock, Ollama, Python
