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Answers & Confidenceprobabilities

Probability distribution

The floats summing to 1 across your options or levels that every Choice and Score answer returns under probabilities.

Category
Answers & Confidence
Also known as
probabilities
Related terms
5
Directory entries
2
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

For a Choice, probabilities maps each option to its probability; for a Score, each level index as a string key. The distribution is the raw material behind confidence, and it is returned in full so you can compute your own certainty measure or feed the values as features into a downstream model.

Because the distribution is constrained to the values you supplied, it doubles as a schema guarantee: the model never invents an option or a level outside your criteria.

Tagsconfidenceapi

From the directory

How TypeSafe reports certainty, how it differs from probability, and how to use it architecturally to gate and route decisions.
Practices & PatternsDocs#official#confidence#routing
Official
The raw HTTP contract behind every SDK: POST a state plus typed noul, choice, and score questions to /v1/systemone, and get one answer per question, with error codes and retry guidance.
Sites & GuidesDocs#official#docs#api
Official

From the community

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Follow @typesafeai

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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昨天出的 typesafe.ai Jev 模型 适合高频决策,那岂不又是适合打游戏? 之前用 GPT-6 Astra 代打杀戮尖塔2 能力强但速度慢。 我刚实测用 Jev 打,行动思考只需 0.7秒, 画面我都没看清它就操作完了。 这超人类游戏速度, 着实又让我震惊瘫坐了😅 语言很难描述这感觉,看视频⬇️

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Reply

An agent with a Jev model router