teren de test TypeSafe: docs offline + script de proba

Separat de produsele ROA. docs/ = documentatia oficiala descarcata ca Markdown
(111 pagini), reluabila cu update_docs.sh. typesafe_test.py face un apel cu cate
o intrebare din fiecare tip (choice/noul/score) pe o linie de factura de furnizor.
Cheia API se ia din TYPESAFE_API_KEY, nu se versioneaza.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KHLUSsKP99G6ebv2fFUKQV

docs/concepts/system-one.md

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+> ## Documentation Index
+> Fetch the complete documentation index at: https://docs.typesafe.ai/llms.txt
+> Use this file to discover all available pages before exploring further.
+
+# System One
+
+> System One models make fast, structured decisions for software. Jev is TypeSafe's flagship model and the first System One model.
+
+System One models are a class of AI models built to make fast, structured decisions that software can use directly. A System One model evaluates a [state](/concepts/state) and returns typed answers and probabilities.
+
+Jev is TypeSafe's flagship model and the first System One model.
+
+Like an LLM, a System One model understands natural-language input. It returns typed decisions and probabilities rather than generated text.
+
+<Note>
+  Jev currently accepts text input only. It evaluates strings, JSON objects, and arrays of text. Images, audio, and video are not supported (yet).
+</Note>
+
+## How it differs from an LLM
+
+System One models are trained for calibrated decisions: their probabilities are optimized against outcomes to reflect uncertainty. Calibration is measured across groups of predictions; it does not guarantee that an individual answer is correct.
+
+System One models do not write replies, produce code, or generate explanations of their reasoning. You define the possible answers through [primitives](/primitives):
+
+| Primitive                    | Question                              | Example answer space                          | Example output      |
+| ---------------------------- | ------------------------------------- | --------------------------------------------- | ------------------- |
+| [Choice](/primitives/choice) | Which team should handle this ticket? | `billing`, `technical`, or `account`          | `choice: "billing"` |
+| [Score](/primitives/score)   | How frustrated is this customer?      | 0 = calm, 1 = frustrated, 2 = very frustrated | `score: 1.4`        |
+| [Noul](/primitives/noul)     | Does this message request a refund?   | True or false                                 | `noul: 0.95`        |
+
+These are illustrative configurations and values. The primitive pages describe the available configuration options and full response fields.
+
+Read the [AI primer](/introduction/machine-learning-primer) to learn how System One models work and how they are trained.
+
+<Note>
+  The System One name comes from the concept Daniel Kahneman popularized in his book *Thinking, Fast and Slow*. System 1 thinking is fast and intuitive. System 2 is slower and more deliberate. Here, the emphasis is on fast, focused judgments.
+</Note>
+
+## Fast judgments inside a larger workflow
+
+For a refund request, your application can:
+
+1. Build a state containing the customer's message, the relevant transactions, and the refund policy.
+2. Ask independent questions together: whether a refund was requested, whether the evidence indicates a duplicate charge, and whether the policy supports a refund.
+3. Combine the answers with deterministic checks in code, then route the case for action or review.
+
+Once you have seen the primitives in action, you can combine them into a larger system. Because System One models return typed, constrained outputs rather than free-form text, your code can inspect and combine its answers into predictable workflows. See [How to build with TypeSafe](/concepts/how-to-build-with-system-one) for the full workflow.
+
+Answers from System One models also include [confidence](/confidence), so you can decide when to act and when to escalate to a person or a reasoning model.
+
+## Call a System One model
+
+Call a System One model through one of our [client SDKs](/sdk) or `POST /v1/systemone` in the [HTTP API](/api). The `model` field selects which model handles the request. The examples in these docs use `jev-latest`, which is also the SDK default. See [Models](/models) for the available models, their prices, and their aliases.
+
+Start with [State](/concepts/state) to prepare the input and [Primitives (Questions)](/primitives) to explore the types of questions you can ask.