docs: add docs/riteway-ai.md with temperature/model configuration for OpenCode#432
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docs: add docs/riteway-ai.md with temperature/model configuration for OpenCode#432
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…ncluding temperature/model config Agent-Logs-Url: https://github.com/paralleldrive/riteway/sessions/ec479bc6-b9af-46a2-be4e-74350664a1d8 Co-authored-by: ericelliott <364727+ericelliott@users.noreply.github.com>
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[WIP] Document temperature experiments using Riteway AI
docs: add docs/riteway-ai.md with temperature/model configuration for OpenCode
Apr 4, 2026
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ericelliott
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Apr 4, 2026
| riteway ai path/to/test.sudo --agent opencode | ||
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| This gives you precise control over both the model and sampling temperature used during evaluations, which is useful for experiments that require deterministic or creative outputs. |
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There is no such thing as guaranteed determinism in any current major LLM. Temperature controls next token probability distribution shape, not determinism. You could say "more deterministic vs more creative" as a layman proxy, but don't make it sound like there is a determinism guarantee. In fact, we should call it that there isn't.
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Fixed in 43ef6b6. The sentence now explains that temperature shapes the next-token probability distribution, distinguishes lower (less creative/more repetitive) from higher (more creative/less predictable), and explicitly notes that no current LLM guarantees deterministic outputs even at temperature 0.
Agent-Logs-Url: https://github.com/paralleldrive/riteway/sessions/10d75dcd-7c04-4829-9b44-2e419a4135fd Co-authored-by: ericelliott <364727+ericelliott@users.noreply.github.com>
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docs/riteway-ai.mdwith complete Riteway AI documentation