Ai Agents With Aws Agentcore

Fireworks AI

Kimi K3 on Fireworks: Frontier Intelligence You Can Own

Blog

AI Agents With Aws Agentcore Production-Ready AI Agents with Optimized Inference with AWS AgentCore

PUBLISHED 10/2/2025

Table of Contents TL;DR What is AWS AgentCore? Fireworks + AgentCore: Better Together

Example: Code Generation Agent Get Started What's Next

Table of Contents

TL;DR

Fireworks now integrates with AWS AgentCore, enabling developers to deploy AI agents with optimized inference on secure, serverless AWS infrastructure. Build locally, deploy globally with enterprise-grade security and automatic scaling. What is AWS AgentCore?

AWS AgentCore Runtime provides serverless infrastructure purpose-built for AI agents. It solves the operational complexity of deploying dynamic AI agents at scale by offering: • Serverless scaling with fast cold starts • Built-in security and session isolation • Framework flexibility - use any open-source framework, protocol, or model • Extended runtime support for complex multi-step agent workflows

This eliminates the need to manage containers, orchestration, or scaling infrastructure while maintaining enterprise security requirements. Fireworks + AgentCore: Better Together

Fireworks delivers the fastest, highest quality inference engine for agentic workloads. We provide optimizations like adaptive caching and speculative decoding that are critical for multi-turn agent interactions. Combined with AgentCore's serverless deployment, you get: • Speed where it matters: Sub-second latency for agent reasoning loops powered by Fireworks' optimized inference stack • AWS-native deployment: Deploy directly to your AWS infrastructure with no additional configuration • Enterprise ready: Leverage AWS security, compliance, and existing commitments while using Fireworks' inference engine.

Example: Code Generation Agent

To demonstrate this integration, we built two cookbooks using AgentCore Runtime and AgentCore Code Interpreter. These agents can read files, generate python code, run the code and interpret the results. The agents use state of the art open source models Kimi K2 0905 and Qwen 3 Coder 480B respectively. The architecture shows the complete flow: develop your agent locally with your choice of models and frameworks, configure it with a Docker file, and deploy to AgentCore Runtime via AWS CodeBuild. Once deployed, users can invoke the agent through the Runtime endpoint with all infra handled serverlessly by AWS. See our full documentation and both cookbooks in our documentation page .

Get Started

Ready to build production AI agents? Get your Fireworks API key : Sign up at fireworks.ai Review the integration guide : Fireworks + AgentCore documentation Deploy your first agent : Follow the complete tutorial

The integration supports serverless inference, fine-tuned models, and on-demand deployments. For enterprise deployments leveraging existing AWS compute please reach out to aws@fireworks.ai What's Next

We will continue to expand our AWS AgentCore integration with additional cookbooks and deeper platform integrations. Stay tuned for more examples covering multi-agent systems, custom tool integration, and production deployment patterns.

Related Posts

Developer Experience 7/9/2026 Open, frontier, and yours: LangChain Deep Agents on NVIDIA Nemotron 3 Ultra, running on Fireworks

Developer Experience 4/24/2026 How we fixed prompt injection for all models on Fireworks

Developer Experience 3/22/2026 Frontier RL Is Cheaper Than You Think

Next