Fetching from the wire…
Infra2026-09-19 · source-backed
Opt in with platformVersion=V2. The old runtime ranged from 5.4 to nearly 30 seconds as image size grew from 200MB to 2GB; the new one holds near 2 seconds across that range. It also reclaims memory when a session goes cold instead of billing peak memory for the session's life, charging a higher rate against far fewer GB-hours. AWS Bursty agents that spike then idle get the biggest win.
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The walkthrough covers implementing MCP tools, wiring authentication, and deploying with AWS CDK against Bedrock AgentCore and Mistral AI Studio. Steal the two-layer JWT pattern: agent identity and end-user identity as separate token layers. Most MCP server tutorials hand-wave...
AWS made the managed AgentCore harness generally available on June 18. You define model, tools, skills, and memory with CreateHarness, then run it with InvokeHarness. It ships multi-model support (Bedrock, OpenAI, Gemini, LiteLLM), mid-session context preservation, built-in br...
Comparing gpt-5.6-luna, terra and sol on Bedrock against gpt-5.4-mini and nano: on AIME, Luna cost $0.0021 per passing answer against Mini's $0.0139 despite Mini's lower nominal token price. On DeepSearchQA multi-turn agent trajectories the gap widened to $0.05 against $0.40 p...
AgentCore Runtime provides the serverless, session-isolated MCP host and AgentCore Gateway exposes it behind one secure endpoint any MCP Apps-compatible host can reach. The sample, Unicorn Rentals, backs its widgets with Lambda and DynamoDB and renders identically in ChatGPT o...
It reconstructs sessions from three OTel span types, invoke agent, inference and execute tool, then applies the same scoring regardless of SDK (AWS). Strands, LangGraph, OpenAI Agents SDK, LlamaIndex, Google ADK and the Claude Agent SDK are named explicitly, with generic class...
AWS's September 11 walkthrough pairs its DevOps Agent with AgentCore Evaluations, aimed at a specific gap: "an agent can successfully invoke Amazon Bedrock, call every tool without errors, and return a response while completely misunderstanding what the user needs." Thirteen L...
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