Crates.io | ja |
lib.rs | ja |
version | 0.1.25 |
source | src |
created_at | 2023-05-08 02:07:26.983504 |
updated_at | 2024-10-22 07:30:26.69545 |
description | ja (just ask) is a small CLI / TUI app that allows you to work with AI tools |
homepage | |
repository | https://github.com/joshka/ja |
max_upload_size | |
id | 859435 |
size | 91,998 |
Right now it's just yet another wrapper around the openAI apis
Run interactively:
ja
Command line parameters
ja (just ask) is a small CLI / TUI app that allows you to work with AI tools
Usage: ja [OPTIONS] [-- <MESSAGE>...] [COMMAND]
Commands:
chat default command (can be omitted)
logs
help Print this message or the help of the given subcommand(s)
Arguments:
[MESSAGE]...
Options:
-m, --model <MODEL>
ID of the model to use
Possible values:
- gpt-3.5-turbo: alias 3.5 (default - because it's fast and cheap)
- gpt-3.5-turbo-0301
- gpt-3.5-turbo-0613
- gpt-3.5-turbo-1106
- gpt-3.5-turbo-16k: alias 3.5-16k
- gpt-3.5-turbo-16k-0613
- gpt-4: alias 4
- gpt-4-0314
- gpt-4-0613
- gpt-4-1106-preview
- gpt-4-32k: alias 4-32k
- gpt-4-32k-0314
- gpt-4-32k-0613
-t, --temperature <TEMPERATURE>
Sampling temperature
-p, --top-p <TOP_P>
Probability mass percentage
-n, --n <N>
Number of choices to generate for each input message
-s, --stream <STREAM>
Stream the resultt of the API call
[possible values: true, false]
--stop <STOP>
Up to 4 sequences where the API will stop generating further tokens
-c, --max-tokens <MAX_TOKENS>
The maximum number of tokens to generate in the chat completion
--presence-penalty <PRESENCE_PENALTY>
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far
--frequency-penalty <FREQUENCY_PENALTY>
Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far
-u, --user <USER>
A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse
-i, --input <INPUT>
Input file
-o, --output <OUTPUT>
Output file
--system <SYSTEM>
System message
-v, --verbose
Show verbose output
-h, --help
Print help (see a summary with '-h')
-V, --version
Print version
Example usage:
Provide command line paramters directly:
$ ja -- hello
assistant: Hello! How can I assist you today?
Provide input via a pipe:
$ echo "hello" | ja
assistant: Hello! How can I assist you today?
In no specific order, some ideas: