What it does
It supports native structured outputs, discrete or probabilistic answers, and optional probability normalization.
Official TypeSafe
A Python replacement for TypeSafeClient that runs against general-purpose LLM APIs.
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It supports native structured outputs, discrete or probabilistic answers, and optional probability normalization.
Your app can read a short text and answer questions about it. A developer can give the tool a written book review. Then they can ask if the reviewer actually liked the book. An access key connects your software to an outside AI service like OpenAI.
The software keeps a complete record of every attempt and reply. If a service refuses to answer, the tool stops trying and explains why. A developer must increase the allowed length limit for very long replies from the Anthropic service.