Amazon
Agent platforms

Capturing token IDs during agentic interactions for better reinforcement learning

Our short summary of Amazon’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on amazon.science (opens in a new tab)

Problem

RL training needed exact token‑level logs of agent actions, but transcripts lost crucial details.

Solution

Created Turnstile, a Rust proxy that sits between the agent harness and the model, capturing every token ID as it’s generated and exporting a clean trajectory for RL trainers.

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on amazon.science (opens in a new tab)

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