fix(tools): make py-types render total and bound deep class names
Address ds-review-bot v5/v6 review round 4: - renderType now holds the no-throw contract across the whole walk, not just root validation: a stateful getter that passes validation and then throws in the render phase degrades the node to Any, rolling back any classes the call had begun emitting, instead of escaping. - allocateClassName caps the accumulated base name. Child class names derive from their parent's, so an unbounded single-field object chain grew the sum of names to Theta(depth^2) (a 5000-deep schema produced a ~25MB SDK); the cap keeps total emitted text linear, the collision counter still makes truncated bases unique. - The language-dispatch note's Consequences first sentence and the zh guard paragraph are corrected: two table entries (not one), and full-width Chinese punctuation per translation-rules.md.
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@@ -33,4 +33,4 @@ Both tables are read with `Object.hasOwn` before use so a language named `toStri
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## Consequences
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Adding a backend language is a table entry plus its renderer, with no change to `agent-loop` or the registry structure. The two tables (`SDK_RENDERERS`, `RUN_CODE_FLAVORS`) must stay in step: a language present in one but not the other is a latent inconsistency the `Object.hasOwn` guards turn into a loud failure rather than a wrong-language prompt. The tool layer stays free of any concrete backend dependency, so it lands and is testable on master ahead of the Python protocol and backend; the cost is that a `python` runtime cannot actually be exercised end to end until that backend ships, so this PR's coverage is unit-level (the renderer output and the dispatch/rejection paths) rather than a real Python run.
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Adding a backend language is two table entries — a `SDK_RENDERERS` renderer and a `RUN_CODE_FLAVORS` entry — plus the renderer itself, with no change to `agent-loop` or the registry structure. The two tables (`SDK_RENDERERS`, `RUN_CODE_FLAVORS`) must stay in step: a language present in one but not the other is a latent inconsistency the `Object.hasOwn` guards turn into a loud failure rather than a wrong-language prompt. The tool layer stays free of any concrete backend dependency, so it lands and is testable on master ahead of the Python protocol and backend; the cost is that a `python` runtime cannot actually be exercised end to end until that backend ships, so this PR's coverage is unit-level (the renderer output and the dispatch/rejection paths) rather than a real Python run.
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