eastriverlee / LLM.swift

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

Кожна точка охоплює 3 днів.

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 0 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

Звірка сповіщень не відбулася для цього звіту: No resolved dependencies to assess

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          "body": "Render conversations with the gguf-embedded chat template by default\nand parse content, reasoning, and tool calls with llama.cpp's own\nparser, so any model family's native tool-call format works without\nper-model configuration. Tools conform to the Tool protocol with a\nnested @Generatable Arguments \n[…]\nhe model context incrementally between turns instead of\nre-feeding the whole history, and replace the hand-rolled constrained\nJSON generator with grammar sampling for structured output.\n\nResolves: #64",
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          "headline": "feat: Add function calling via embedded template",
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          "is_bot": false,
          "headline": "feat: Vendor llama.cpp common chat sources",
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          "body": "…eration\n\nThe token loop in LLMCore.generateResponseStreamWithThinking runs as one\nsynchronous actor job with no suspension points, so stopGeneration() — an\nactor-isolated call — can only ever run after the loop has already finished:\nstop() was a no-op mid-generation, and a consumer that broke out o\n[…]\n M-series: generation A broken after 5 tokens,\nthen generation B issued immediately — time to B's first token):\n  before: 29,625 ms  (B queued behind A's abandoned tail)\n  after:      79 ms\n\nFixes #81",
          "is_bot": false,
          "headline": "fix: make stop() and stream teardown actually cancel an in-flight gen…",
          "author_name": "Jerry F. Zhang",
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          "body": "- Add ThinkingMode enum to control thinking behavior:\n  - .enabled: append thinking start marker, parse thinking content\n  - .suppressed: append empty thinking tokens (nothink technique)\n  - .none: no special handling (default)\n- Add TokenSequence type for markers as string literals or token IDs\n- I\n[…]\n- Auto-transition from thinking to response via marker injection\n- Add thinking property and updateThinking callback to LLM class\n- Update chatML, llama, mistral, gemma templates with thinking markers",
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          "headline": "feat: Add thinking output separation for chain-of-thought models",
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          "body": "…newer-llamacpp-version\n\nupdate llama.xcframework",
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            "reason": "no dangerous workflow patterns detected",
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                "key": "linter_config",
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        "key": "security",
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                "key": "code_review",
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                "key": "sast",
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                "key": "signed_releases",
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}