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AWS details an adaptive agentic intelligence framework using Strands Agents
AWS published a guide on building an adaptive agentic intelligence framework using Strands Agents to route tasks between local small language models and Amazon Bedrock.
Summary
AWS introduced the Adaptive Agentic Intelligence Framework built with Strands Agents, which routes routine tasks to local small language models and complex requests to cloud models on Amazon Bedrock. The setup uses Ollama to run local models on edge hardware for telemetry and vision analysis while connecting to Amazon Bedrock for expert insights.
What changed
- Smart orchestration uses a lightweight local SLM to classify and route incoming requests without hardcoded rules.
- Local processing handles routine tasks such as device telemetry and image analysis locally through Ollama.
- Cloud processing handles complex pattern analysis and strategic recommendations via frontier models in Amazon Bedrock.
Availability
Available now“In this post, we walk through the key components of AAIF using Strands Agents with local SLMs through Ollama and cloud models through Amazon Bedrock.”
Founder takeaway
Developers building AI agents can use this framework to lower costs by running routine classification on small models while sending complex reasoning to cloud endpoints.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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