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Software Development · Debugging & Reliability

Train and evaluate agents in custom environments

Agent training and evaluation becomes unreliable when tasks, tools, rewards and resets are not versioned. Teams need isolated environments, reproducible rollouts, validated verifiers and regression gates before deployment.

Desired outcome

Train and evaluate agents in custom environments

What this work aims to improve

  • Faster testing
  • Fewer regressions
  • Better traceability
  • Faster experiments
  • Safer releases

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