Build long-horizon agents with Grok 4.7 on Amazon Bedrock

Grok 4.7 is now a Bedrock‑hosted LLM that supports tool‑calling, enabling the construction of a long‑horizon agent that can invoke external APIs during reasoning. The authors built a prototype that solves three reasoning benchmarks at four effort levels, reporting both correctness percentages and token‑cost per completed task, and demonstrated how to adjust the trade‑off per request via Bedrock’s request parameters. They also show how to monitor token usage and cost in production using Bedrock’s built‑in metrics, allowing fine‑grained cost‑control for each inference. This work illustrates that Bedrock can serve sophisticated agent workflows while giving operators real‑time visibility into performance‑cost dynamics.

⚡ Key Takeaways

• Grok 4.7 on Bedrock supports native tool‑calling, eliminating the need for external orchestration layers.
• The agent was evaluated on three reasoning tasks at four effort levels, achieving up

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