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LEE","email":"snowyu.lee@gmail.com"},"license":"MIT","homepage":"https://github.com/offline-ai/cli-plugin-core.js","keywords":["oclif","prompt","ai","llm","programable prompt","agent","script","runner","plugin","command","run"],"repository":{"type":"git","url":"git+https://github.com/offline-ai/cli-plugin-core.js.git"},"description":"Offline(local) AI Client Command to run Programable Prompt Engine script","maintainers":[{"name":"riceball","email":"snowyu.lee@gmail.com"}],"readme":"# Offline AI Client Core(WIP)\n\n> 【English|[中文](./README.cn.md)】\n---\nThe [Offline AI Client](https://npmjs.org/package/@offline-ai/cli) core plugin.\n\n[![oclif](https://img.shields.io/badge/cli-oclif-brightgreen.svg)](https://oclif.io)\n[![Version](https://img.shields.io/npm/v/%40offline-ai%2Fcli.svg)](https://npmjs.org/package/@offline-ai/cli)\n[![Downloads/week](https://img.shields.io/npm/dw/%40offline-ai%2Fcli.svg)](https://npmjs.org/package/@offline-ai/cli)\n\n**Features**:\n\n* User-friendly for ai development and creation of intelligent applications...\n* Low-code or even no-code solutions for rapid ai development...\n* Flexible, adding custom instructions within scripts, and inter-script calls...\n* The data is completely open to the script, and the input and output data, even the internal data, can be freely accessed in the script\n* Powerful, enabling event transmission seamlessly between client and server with numerous utility functions...\n* Secure, supporting encrypted execution and usage limits for scripts(TODO)...\n* The AI Agent Script follows the [Programmable Prompt Engine Specification](https://github.com/offline-ai/ppe).\n  * Visit the site for the detailed AI Agent script usage.\n\n<!-- toc -->\n* [Offline AI Client Core(WIP)](#offline-ai-client-corewip)\n* [Install](#install)\n* [Commands](#commands)\n* [Credit](#credit)\n<!-- tocstop -->\n\n\n# Install\n\n```bash\nnpm install -g @offline-ai/cli\n```\n\n# Commands\n\n<!-- commands -->\n* [`ai run [FILE] [DATA]`](#ai-run-file-data)\n\n## `ai run [FILE] [DATA]`\n\n💻 Run ai-agent script file.\n\n```\nUSAGE\n  $ ai run [FILE] [DATA] [--json] [--config <value>] [--banner] [-u <value>] [--apiKey <value>] [-s\n    <value>...] [--logLevelMaxLen <value> -l trace|debug|verbose|info|notice|warn|error|fatal|print|silence]\n    [--histories <value>] [-n] [-k] [-t <value> -i] [--no-chats] [--no-inputs ] [-m] [-f <value>] [-d <value>] [-D\n    <value>...] [-a <value>] [-b <value>] [-p <value>...] [-L <value>] [-A <value>] [-e true|false|line] [-C <value>]\n    [-P <value>] [--consoleClear]\n\nARGUMENTS\n  FILE  the script file path, or the json data when `-f` switch is set\n  DATA  the json data which will be passed to the ai-agent script\n\nFLAGS\n  -A, --aiPreferredLanguage=<value>    the ISO 639-1 code for the AI preferred language to translate the user input\n                                       automatically, eg, en, etc.\n  -C, --streamEchoChars=<value>        [default: 80] stream echo max characters limit\n  -D, --data=<value>...                the data which will be passed to the ai-agent script: key1=value1 key2=value2\n  -L, --userPreferredLanguage=<value>  the ISO 639-1 code for the user preferred language to translate the AI result\n                                       automatically, eg, en, zh, ja, ko, etc.\n  -P, --provider=<value>               the LLM provider, defaults to llamacpp\n  -a, --arguments=<value>              the json data which will be passed to the ai-agent script\n  -b, --brainDir=<value>               the brains(LLM) directory\n  -d, --dataFile=<value>               the data file which will be passed to the ai-agent script\n  -e, --streamEcho=<option>            [default: line] stream echo mode\n                                       <options: true|false|line>\n  -f, --script=<value>                 the ai-agent script file name or id\n  -i, --[no-]interactive               interactive mode\n  -k, --backupChat                     whether to backup chat history before start, defaults to false\n  -l, --logLevel=<option>              the log level\n                                       <options: trace|debug|verbose|info|notice|warn|error|fatal|print|silence>\n  -m, --[no-]stream                    stream mode, defaults to true\n  -n, --[no-]newChat                   whether to start a new chat history, defaults to false in interactive mode, true\n                                       in non-interactive\n  -p, --promptDirs=<value>...          the prompts template directory\n  -s, --agentDirs=<value>...           the search paths for ai-agent script file\n  -t, --inputs=<value>                 the input histories folder for interactive mode to record\n  -u, --api=<value>                    the api URL\n      --apiKey=<value>                 the api key (optional)\n      --[no-]banner                    show banner\n      --config=<value>                 the config file\n      --[no-]consoleClear              Whether console clear after stream echo output, default to true\n      --histories=<value>              the chat histories folder to record\n      --logLevelMaxLen=<value>         the max length of log item to display\n      --no-chats                       disable chat histories, defaults to false\n      --no-inputs                      disable input histories, defaults to false\n\nGLOBAL FLAGS\n  --json  Format output as json.\n\nDESCRIPTION\n  💻 Run ai-agent script file.\n\n  Execute ai-agent script file and return result. with `-i` to interactive.\n\nEXAMPLES\n  $ ai run -f ./script.yaml \"{content: 'hello world'}\" -l info\n  ┌────────────────────\n  │[info]:Start Script: ...\n```\n\n_See code: [src/commands/run/index.ts](https://github.com/offline-ai/cli-plugin-core.js/blob/v0.11.5/src/commands/run/index.ts)_\n<!-- commandsstop -->\n\n# Credit\n\n* [OpenAI](https://openai.com/)\n* [HuggingFace](https://huggingface.co/)\n* [llama-cpp](https://github.com/ggerganov/llama.cpp)\n","readmeFilename":"README.md"}