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— AI coding agent with Alem AI models, TUI, and autonomous task execution.","maintainers":[{"name":"yernur_dev","email":"kanaternur33@gmail.com"}],"readme":"# operator\n\n[![npm version](https://img.shields.io/npm/v/pzero-operator.svg)](https://www.npmjs.com/package/pzero-operator)\n[![downloads last month](https://img.shields.io/npm/dm/pzero-operator.svg)](https://www.npmjs.com/package/pzero-operator)\n\nЛичный агент для работы с кодом в терминале — свой аналог Claude Code, но на моделях Alem AI (`llm.alem.ai`) плюс всё, что крутится локально в Ollama. Читает и правит файлы, гоняет bash, помнит задачи и факты между сессиями, коммитит в git. Пакет называется `pzero-operator`, бинарник — `operator` (или короче: `opr`).\n\n```bash\nnpm install -g pzero-operator\noperator\n```\n\nПакет: [pzero-operator](https://www.npmjs.com/package/pzero-operator) · репозиторий: [yrn-dev/Operator](https://github.com/yrn-dev/Operator)\n\n## Запуск\n\n```bash\noperator                          # интерактивный TUI\noperator -p \"напиши тесты\"        # одноразовый запрос, без TUI\noperator --continue                # продолжить последнюю сессию\noperator --resume                  # выбрать сессию из списка\noperator --list-models             # что вообще доступно\n```\n\n## Модели\n\nПо умолчанию — `qwen3-8`, 262K контекста, тянет картинки. И по вайб-кодингу и качеству кода сейчас реально обходит Opus 4.6 (max) — не маркетинг, проверено на своих задачах.\n\n| Модель | Контекст | Картинки |\n|---|---|---|\n| `qwen3-8` | 262K | да |\n| `gemma4` | 252K | да |\n| `gpt-oss` | 128K | нет |\n\nПлюс всё, что найдётся на `localhost:11434` — это Ollama, и не только локальные веса: с недавних пор она сама умеет проксировать облачные модели (`ollama signin`, модели с суффиксом `:cloud`) через тот же локальный API, так что список моделей может быть внушительным, даже если у тебя не крутится ничего тяжелее ноутбука. Подхватывается сам при старте, без конфига — и локальное, и облачное одинаково.\n\nКлюч Alem AI лежит в `~/.opr/agent/auth.json`:\n\n```json\n{\"alem-ai\":{\"type\":\"api_key\",\"key\":\"sk-...\"}}\n```\n\nили просто `export ALEM_AI_API_KEY=sk-...`. Модельный реестр и переопределения контекстов — в `~/.opr/agent/models.json`, если что-то надо докрутить руками (провайдер, свой `baseUrl`, лимиты).\n\n## В интерактиве\n\n- `/model` — переключить модель на лету\n- `/status` — модель, провайдер, шкала заполнения контекста и реальный расход токенов (вход/выход/кэш) за сессию\n- `/new`, `/resume` — новая сессия / выбрать старую\n- `/export`, `/import` — сессия в JSON и обратно\n- `!команда` — bash прямо из чата, `!!команда` — то же самое, но не попадёт в контекст\n\n## Инструменты агента\n\nИз коробки: `read` / `write` / `edit` файлов, `bash`, `git_status` / `git_diff` / `git_commit`, `test_run` (сам определяет фреймворк — npm/pytest/cargo/go/gradle/dotnet), веб-поиск, и пара штук для долгой памяти между сессиями — `task_plan`/`task_update`/`task_list` под план работы, `memory_store`/`memory_recall` под факты (`~/.opr/agent/memory/*.md`, `~/.opr/agent/tasks.json`).\n\nСистемный промпт можно полностью заменить: `~/.opr/agent/SYSTEM.md` — глобально, `<проект>/.opr/SYSTEM.md` — под конкретный репозиторий (только для trusted-проектов). `APPEND_SYSTEM.md` рядом — не заменяет, а дописывает поверх.\n\n## Флаги, которые реально нужны\n\n| Флаг | Что делает |\n|---|---|\n| `--model <id>` | конкретная модель вместо дефолтной |\n| `--provider ollama` | всё через локальную Ollama |\n| `-p`, `--print` | без TUI, разовый прогон |\n| `-c`, `--continue` | продолжить сессию |\n| `--name \"...\"` | назвать сессию, чтобы потом найти |\n| `--offline` | без сети вообще (проверки апдейтов, веб-поиск и т.п. отключены) |\n\nОстальное — `operator --help`.\n\n## Сессии\n\nЛежат в `~/.opr/agent/sessions/`, по одному jsonl-файлу на сессию, автосейв на каждом шаге. `--fork` берёт существующую сессию и продолжает её в новую, не трогая оригинал.\n\n## Лицензия\n\nMIT © Yernur\n","readmeFilename":"README.md"}