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TutorialsAWS Machine Learning BlogFrom the source· Nitin Eusebius·· 3 hours ago

Building an Adaptive Agentic Intelligence Framework with Strands Agents

Adaptive agentic intelligence framework using Strands Agents

Who
AWS Machine Learning Blog
What
explains how to build and configure an Adaptive Agentic Intelligence Framework using Strands Agents, local SLMs, and Amazon Bedrock
Quote
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.

What happened

AWS authors explain how to build the Adaptive Agentic Intelligence Framework with Strands Agents, using local SLMs for routine tasks and Amazon Bedrock for complex analysis. The IoT walkthrough uses llama3.2:1b to route requests, simulated device telemetry, and llama3.2-vision for local image analysis through Ollama. It also describes cloud-only and fully local configurations, an MCP-based approach to shared tools, and guardrail integration.

The story so far

AWS published a walkthrough for building an Adaptive Agentic Intelligence Framework with Strands Agents, combining local small language models for routine tasks with Amazon Bedrock models for complex analysis. The walkthrough also describes cloud-only and fully local configurations. Its IoT example uses llama3.2:1b to route requests, simulated device telemetry, and llama3.2-vision through Ollama for local image analysis. AWS also explains an MCP-based approach to sharing tools and integrating guardrails.

AgentsDeployment engineeringMCP and tool useTutorials#Tutorials and practice#Agent#Deployment and engineering#MCP and tool calling

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