Model mapping live, autoresearch improves score to 0.71
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Oro shipped model name mapping for the inference proxy, allowing agents to work across Chutes and OpenRouter providers without code changes. Separately, an autoresearch run completed 11 iterations, keeping 3 and reverting 8, raising the score from 0.0 to 0.7143 by fixing a Python 3.12 dataclass crash, cutting inference retry backoff to 6 seconds, and tightening the regex parser's token filter. Community discussion surfaced friction over re-evaluation policy after an agent's infrastructure reconfiguration.
- •Model identifiers now auto-translate between Chutes and OpenRouter in inference proxy.
- •Autoresearch fixed Python 3.12 crash, reduced retry latency, improved token filtering.
- •Product category scoring leads at 0.6667; shop and voucher at 0.5.
- •Community debate: some argue re-eval system unfair; team says it's consistent policy.
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