Offline AI Client Core(WIP)

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The Offline AI Client core plugin.

Features:

• User-friendly for ai development and creation of intelligent applications...
• Low-code or even no-code solutions for rapid ai development...
• Flexible, adding custom instructions within scripts, and inter-script calls...
• 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
• Powerful, enabling event transmission seamlessly between client and server with numerous utility functions...
• Secure, supporting encrypted execution and usage limits for scripts(TODO)...
• The AI Agent Script follows the Programmable Prompt Engine Specification.
  • Visit the site for the detailed AI Agent script usage.

• Offline AI Client Core(WIP)
• Install
• Commands
• Credit

Install

npm install -g @offline-ai/cli

Commands

• ai run [FILE] [DATA]

ai run [FILE] [DATA]

💻 Run ai-agent script file.

USAGE
  $ ai run [FILE] [DATA] [--json] [-c <value>] [--banner] [-u <value>] [--apiKey <value>] [-s <value>...]
    [-l trace|debug|verbose|info|warn|error|fatal|silence] [--histories <value>] [-n] [-k] [-t <value> -i] [--no-chats]
    [--no-inputs ] [-m] [-f <value>] [-d <value>] [-D <value>...] [-a <value>] [-b <value>] [-p <value>...] [-L <value>]
    [-A <value>] [-e true|false|line] [-e <value>] [--consoleClear]

ARGUMENTS
  FILE  the script file path, or the json data when `-f` switch is set
  DATA  the json data which will be passed to the ai-agent script

FLAGS
  -A, --aiPreferredLanguage=<value>    the ISO 639-1 code for the AI preferred language to translate the user input
                                       automatically, eg, en, etc.
  -D, --data=<value>...                the data which will be passed to the ai-agent script: key1=value1 key2=value2
  -L, --userPreferredLanguage=<value>  the ISO 639-1 code for the user preferred language to translate the AI result
                                       automatically, eg, en, zh, ja, ko, etc.
  -a, --arguments=<value>              the json data which will be passed to the ai-agent script
  -b, --brainDir=<value>               the brains(LLM) directory
  -c, --config=<value>                 the config file
  -d, --dataFile=<value>               the data file which will be passed to the ai-agent script
  -e, --streamEcho=<option>            [default: true] stream echo mode, defaults to true
                                       <options: true|false|line>
  -e, --streamEchoChars=<value>        stream echo max characters limit, defaults to no limit
  -f, --script=<value>                 the ai-agent script file name or id
  -i, --[no-]interactive               interactive mode
  -k, --backupChat                     whether to backup chat history before start, defaults to false
  -l, --logLevel=<option>              the log level
                                       <options: trace|debug|verbose|info|warn|error|fatal|silence>
  -m, --[no-]stream                    stream mode, defaults to true
  -n, --[no-]newChat                   whether to start a new chat history, defaults to false in interactive mode, true
                                       in non-interactive
  -p, --promptDirs=<value>...          the prompts template directory
  -s, --agentDirs=<value>...           the search paths for ai-agent script file
  -t, --inputs=<value>                 the input histories folder for interactive mode to record
  -u, --api=<value>                    the api URL
      --apiKey=<value>                 the api key (optional)
      --[no-]banner                    show banner
      --[no-]consoleClear              Whether console clear after stream echo output, default to true
      --histories=<value>              the chat histories folder to record
      --no-chats                       disable chat histories, defaults to false
      --no-inputs                      disable input histories, defaults to false

GLOBAL FLAGS
  --json  Format output as json.

DESCRIPTION
  💻 Run ai-agent script file.

  Execute ai-agent script file and return result. with `-i` to interactive.

EXAMPLES
  $ ai run -f ./script.yaml "{content: 'hello world'}" -l info
  ┌────────────────────
  │[info]:Start Script: ...

See code: src/commands/run/index.ts

Credit

• OpenAI
• HuggingFace
• llama-cpp