January 2025
-cc|-dd|-qq]
[opt..]
[PROMPT|TEXT_FILE|PDF_FILE]-i [opt..]
[X|L|P][hd] [PROMPT]
#Dall-E-3-i [opt..]
[S|M|L] [PROMPT]-i [opt..]
[S|M|L] [PNG_FILE]-i [opt..]
[S|M|L] [PNG_FILE]
[MASK_FILE] [PROMPT]-w [opt..]
[AUDIO_FILE|.] [LANG] [PROMPT]-W [opt..]
[AUDIO_FILE|.] [PROMPT-EN]-z [opt..]
[OUTFILE|FORMAT|-] [VOICE]
[SPEED] [PROMPT]-ccWwz [opt..]
-- [PROMPT] -- [whisper_arg..] --
[tts_arg..]-l [MODEL]-TTT [-v]
[-m[MODEL|ENCODING]]
[INPUT|TEXT_FILE|PDF_FILE]-HPP
[/HIST_FILE|.]-HPwThis script acts as a wrapper for ChatGPT, DALL-E, Whisper, and TTS endpoints from OpenAI. Additional service providers such as LocalAI, Ollama, Anthropic, Mistral AI, GoogleAI, Groq AI, GitHub Models, Novita, and xAI APIs are also available.
With no options set, complete INPUT in single-turn mode of the native chat completion.
Handles single-turn and multi-turn modes, pure text and native chat completions, image generation and editing, speech-to-text, and text-to-speech.
Positional arguments are read as a single PROMPT, but some functions such as Whisper and TTS may handle optional positional parameters before the prompt itself.
Set option -c to start a multi-turn chat mode via
text completions with command line history support.
This option works with instruct models, defaults to
gpt-3.5-turbo-instruct if none set.
Set options -cc to start the chat mode via
native chat completions. This mode defaults to the
gpt-4o model, which is optimised to follow instructions. Try
chatgpt-4o-latest for a model optimised for chatting.
In chat mode, some options are automatically set to un-lobotomise the bot.
While using other providers, mind that options -c and
-cc set different endpoints! This setting must be set
according to the model capabilities!
Set option -C to resume (continue from)
last history session, and set option -E to exit on the
first response (even in multi turn mode).
Option -d starts a single-turn session in plain
text completions, no history support. This does not set further
options automatically, such as instruction or temperature.
To run the script in text completion in multi-turn mode and history
support, set command line options -dd.
Set text completion models such as gpt-3.5-turbo-instruct.
Set option -q for insert mode in
single-turn and option -qq for multiturn. The flag
“[insert]” must be present in the middle of the input prompt.
Insert mode works completing between the end of the text preceding the
flag, and ends completion with the succeeding text after the flag.
Insert mode works with `instruct’ and Mistral `code’ models.
The SYSTEM INSTRUCTION prompt may be set with option -S
or via envars $INSTRUCTION and
$INSTRUCTION_CHAT.
Option -S sets an INSTRUCTION prompt (the initial
prompt) for text cmpls, and chat cmpls. A text file path may be supplied
as the single argument. Also see CUSTOM / AWESOME PROMPTS
section below.
In multi-turn interactions, prompts prefixed with a single colon “:” are appended to the current request buffer as user messages without making a new API call. Conversely, prompts starting with double colons “::” are appended as instruction / system messages. For text cmpls only, triple colons append the text immediately to the previous prompt without a restart sequence.
To create and reuse a custom prompt, set the prompt name as a command
line option, such as “-S .[_prompt_name_]” or
“-S ,[_prompt_name_]”.
When the operator is a comma “,”, single-shot editing will be available after loading the prompt text. Use “,,” to actually edit the template file itself!
Note that loading a custom prompt will also change to its respectively-named history file.
Alternatively, set the first positional argument with the operator
and the prompt name after any command line options, such as
“.[_prompt_name_]”. This loads the prompt file unless
instruction was set with command line options.
To insert the current date and time to the instruction prompt, set
command line option --time.
If the first positional argument of the script starts with the
command operator forward slash “/” and a history file name,
the command ``/session [HIST_NAME]’’ is assumed. This will
change to or create a new history file (with
options -ccCdPP).
If a plain text or PDF file path is set as the last positional
parameter or as an argument to option -S (set instruction
prompt), the file is loaded as text PROMPT.
With vision models, append the image file paths and possibly URLs at the end of the prompt.
In chat mode, a PDF, DOC, TXT or URL filepath at the very end of the user prompt is appended as text dump to the current user input.
Make sure file paths containing spaces are backslash-escaped!
Set model with ``-m [MODEL]’’, with MODEL as its
name, or set it as “.” to pick from the model list. List
available models with option -l.
Set maximum response tokens with option
“-NUM” or “-M NUM”. This
defaults to 1024 tokens and 25000 for reasoning
models.
If a second NUM is given to this option, maximum model
capacity will also be set. The option syntax takes the form of
“-NUM/NUM”, and “-M
NUM-NUM”.
Model capacity (maximum model tokens) can be set more
intuitively with option “-N NUM”,
otherwise model capacity is set automatically for known models or to
2048 tokens as fallback.
List models with option -l or run /models
in chat mode.
Option -y sets python tiktoken instead of the default
script hack to preview token count. This option makes token count
preview accurate and fast (we fork tiktoken as a coprocess for fast
token queries). Useful for rebuilding history context independently from
the original model used to generate responses.
Option -i generates images according to
text PROMPT. If the first positional argument is an IMAGE file,
then generate variations of it. If the first positional
argument is an IMAGE file and the second a MASK file
(with alpha channel and transparency), and a text PROMPT (required),
then edit the IMAGE according to MASK
and PROMPT. If MASK is not provided, IMAGE must have
transparency.
The size of output images may be set as the first positional parameter in the command line: “256x256” (S), “512x512” (M), “1024x1024” (L), “1792x1024” (X), and “1024x1792” (P).
The parameter “hd” may also be set for image quality (Dall-E-3), such as “Xhd” or “1792x1024hd”. Defaults=1024x1024.
For Dalle-3, optionally set the generation style as either “natural” or “vivid” as a positional parameter in the command line invocation.
See IMAGES section below for more information on inpaint and outpaint.
Option -w transcribes audio speech from
mp3, mp4, mpeg, mpga, m4a,
wav, webm, flac and ogg files. First
positional argument must be an AUDIO file. Optionally, set a
TWO-LETTER input language (ISO-639-1) as the second
argument. A PROMPT may also be set to guide the model’s style, or
continue a previous audio segment. The text prompt should match the
speech language.
Note that option -w can also be set to translate
speech input to any text language to the target language.
Option -W translates speech stream to
English text. A PROMPT in English may be set to guide
the model as the second positional argument.
Set these options twice to have phrasal-level timestamps, options -ww and -WW. Set thrice for word-level timestamps.
Combine options -wW with
options -cc to start chat with voice input
(Whisper) support. Additionally, set option -z to enable
text-to-speech (TTS) models and voice out.
Option -z synthesises voice from text (TTS models). Set
a voice as the first positional parameter (“alloy”,
“echo”, “fable”, “onyx”, “nova”, or
“shimmer”). Set the second positional parameter as the
voice speed (0.25 - 4.0), and, finally the
output file name or the format, such as
“./new_audio.mp3” (“mp3”, “opus”,
“aac”, and “flac”), or “-” for stdout. Set
options -vz to not play received output.
Audio models, such as `gpt-4o-audio’, deal with audio input and output directly.
To activate the microphone recording function of the script, set
command line option -w.
Otherwise, the audio model accepts any compatible audio file (such as mp3, wav, and opus). These files can be added to be loaded at the very end of the user prompt or added with chat command ``/audio path/to/file.mp3’’.
To activate the audio synthesis output mode of an audio model, make
sure to set command line option -z!
User configuration is kept at “~/.chatgpt.conf”. Script cache is kept at “~/.cache/chatgptsh/”.
The moderation endpoint can be accessed by setting the model name to omni-moderation-latest (or text-moderation-latest).
Stdin text is appended to PROMPT, to set a single PROMPT.
Press <CTRL-X CTRL-E> to edit command line in text editor from readline.
Press <CTRL-J> or <CTRL-V CTRL-J> for newline in readline.
Press <CTRL-L> to redraw readline buffer (user input) on screen.
During cURL requests, press <CTRL-C> once to interrupt the call.
Press <CTRL-\> to exit from the script (send QUIT signal), or “Q” in user confirmation prompts.
A personal OpenAI API is required, set it with
option --api-key. See also ENVIRONMENT
section.
For complete model and settings information, refer to OpenAI API docs at https://platform.openai.com/docs/.
See the online man page and chatgpt.sh usage examples
at: https://gitlab.com/fenixdragao/shellchatgpt.
Given a prompt, the model will return one or more predicted
completions. For example, given a partial input, the language model will
try completing it until probable “<|endoftext|>”,
or other stop sequences (stops may be set with `-s [stop]’).
Restart and start sequences may be
optionally set. Restart and start sequences are not set automatically if
the chat mode of text completions is not activated with
option -c.
Readline is set to work with multiline input and
pasting from the clipboard. Alternatively, set option -u to
enable pressing <CTRL-D> to flush input! Or set
option -U to set cat command as input
prompter.
Bash bracketed paste is enabled, meaning multiline input may be
pasted or typed, even without setting options -uU
(v25.2+).
Language model SKILLS can be activated with specific prompts, see https://platform.openai.com/examples.
Set option -c to start chat mode of text completions. It
keeps a history file, and keeps new questions in context. This works
with a variety of models. Set option -E to exit on
response.
Set the double option -cc to start chat completions
mode. More recent models are also the best option for many non-chat use
cases.
The defaults chat format is “Q & A”. The restart sequence “\nQ: ” and the start text “\nA:” are injected for the chat bot to work well with text cmpls.
In native chat completions, setting a prompt with “:” as the initial character sets the prompt as a SYSTEM message. In text completions, however, typing a colon “:” at the start of the prompt causes the text following it to be appended immediately to the last (response) prompt text.
The options -ccwz may be combined to have voice
recording input and synthesised voice output, specially nice with chat
modes. When setting flag -w or flag -z, the
first positional parameters are read as Whisper or TTS arguments. When
setting both flags -wz, add a double hyphen to set first
Whisper, and then TTS arguments.
Set chat mode, plus Whisper language and prompt, and the TTS voice option argument:
chatgpt.sh -ccwz en 'whisper prompt' -- nova
To send an image or url to vision models, either set the image with the ``!img’’ command with one or more filepaths / urls.
chatgpt.sh -cc -m gpt-4-vision-preview '!img path/to/image.jpg'
Alternatively, set the image paths / urls at the end of the text prompt interactively:
chatgpt.sh -cc -m gpt-4-vision-preview
[...]
Q: In this first user prompt, what can you see? https://i.imgur.com/wpXKyRo.jpeg
The user may add a filepath or URL to the end of the prompt. The file is then read and the text content appended to the user prompt. This is a basic text feature that works with any model.
chatgpt.sh -cc
[...]
Q: What is this page: https://example.com
Q: Help me study this paper. ~/Downloads/Prigogine\ Perspective\ on\ Nature.pdf
In the second example, the PDF will be dumped as text.
For PDF text dump support, poppler/abiword is required.
For doc and odt files, LibreOffice is
required. See the Optional Packages section.
Also note that file paths containing white spaces must be blackslash-escaped, or the file path must be preceded by a pipe `|’ character.
Multiple images and audio files may be appended the the prompt in this way!
While in chat mode, the following commands can be invoked in the new
prompt to execute a task or set parameters. The command operator may be
either “!” or “/”.
| Misc | Commands | |
|---|---|---|
-S |
:, ::
[PROMPT] |
Append user or system prompt to request buffer. |
-S. |
-. [NAME] |
Load and edit custom prompt. |
-S/ |
!awesome [NAME] |
Load and edit awesome prompt (english). |
-S% |
!awesome-zh
[NAME] |
Load and edit awesome prompt (chinese). |
-Z |
!last |
Print last response JSON. |
!# |
!save [PROMPT] |
Save current prompt to shell history. ‡ |
! |
!r, !regen |
Regenerate last response. |
!! |
!rr |
Regenerate response, edit prompt first. |
!g |
!!g [PROMPT] |
Ground user prompt with search results. ‡ |
!i |
!info |
Information on model and session settings. |
!!i |
!!info |
Monthly usage stats (OpenAI). |
!j |
!jump |
Jump to request, append start seq primer (text cmpls). |
!!j |
!!jump |
Jump to request, no response priming. |
!cat |
- | Cat prompter as one-shot, <CTRL-D> flush. |
!cat |
!cat:
[TXT|URL|PDF] |
Cat text, PDF file, or dump URL. |
!dialog |
- | Toggle the “dialog” interface. |
!img |
!media
[FILE|URL] |
Append image, media, or URL to prompt. |
!md |
!markdown
[SOFTW] |
Toggle markdown rendering in response. |
!!md |
!!markdown
[SOFTW] |
Render last response in markdown. |
!rep |
!replay |
Replay last TTS audio response. |
!res |
!resubmit |
Resubmit last TTS recorded input from cache. |
!p |
!pick [PROPMT] |
File picker, appends filepath to user prompt. ‡ |
!pdf |
!pdf: [FILE] |
Convert PDF and dump text. |
!photo |
!!photo [INDEX] |
Take a photo, optionally set camera index (Termux). ‡ |
!sh |
!shell [CMD] |
Run shell or command, and edit output. ‡ |
!sh: |
!shell: [CMD] |
Same as !sh but apppend output as user. |
!!sh |
!!shell [CMD] |
Run interactive shell (with command) and exit. |
!url |
!url: [URL] |
Dump URL text or YouTube transcript text. |
| Script | Settings and UX | |
|---|---|---|
!fold |
!wrap |
Toggle response wrapping. |
-g |
!stream |
Toggle response streaming. |
-h |
!help [REGEX] |
Print help or grep help for regex. |
-l |
!models [NAME] |
List language models or show model details. |
-o |
!clip |
Copy responses to clipboard. |
-u |
!multi |
Toggle multiline prompter. <CTRL-D> flush. |
-uu |
!!multi |
Multiline, one-shot. <CTRL-D> flush. |
-U |
-UU |
Toggle cat prompter or set one-shot. <CTRL-D> flush. |
-V |
!debug |
Dump raw request block and confirm. |
-v |
!ver |
Toggle verbose modes. |
-x |
!ed |
Toggle text editor interface. |
-xx |
!!ed |
Single-shot text editor. |
-y |
!tik |
Toggle python tiktoken use. |
!q |
!quit |
Exit. Bye. |
| Model | Settings | |
|---|---|---|
!Nill |
-Nill |
Unset max response tkns (chat cmpls). |
!NUM |
-M [NUM] |
Maximum response tokens. |
!!NUM |
-N [NUM] |
Model token capacity. |
-a |
!pre [VAL] |
Presence penalty. |
-A |
!freq [VAL] |
Frequency penalty. |
-b |
!best [NUM] |
Best-of n results. |
-j |
!seed [NUM] |
Seed number (integer). |
-K |
!topk [NUM] |
Top_k. |
-m |
!mod [MOD] |
Model by name, empty to pick from list. |
-n |
!results [NUM] |
Number of results. |
-p |
!topp [VAL] |
Top_p. |
-r |
!restart [SEQ] |
Restart sequence. |
-R |
!start [SEQ] |
Start sequence. |
-s |
!stop [SEQ] |
One stop sequence. |
-t |
!temp [VAL] |
Temperature. |
-w |
!rec [ARGS] |
Toggle Whisper. Optionally, set arguments. |
-z |
!tts [ARGS] |
Toggle TTS chat mode (speech out). |
!ka |
!keep-alive
[NUM] |
Set duration of model load in memory (Ollama). |
!blk |
!block [ARGS] |
Set and add custom options to JSON request. |
!vision |
!audio,
!multimodal |
Toggle multimodality type. |
| Session | Management | |
|---|---|---|
-H |
!hist |
Edit history in editor. |
-P |
-HH, !print |
Print session history. |
-L |
!log [FILEPATH] |
Save to log file. |
!br |
!break,
!new |
Start new session (session break). |
!ls |
!list [GLOB] |
List History files with glob in name. Intruction prompts: “pr”. Awesome: “awe”. All: “.”. |
!grep |
!sub [REGEX] |
Search sessions (for regex) and copy session to hist tail. |
!c |
!copy [SRC_HIST]
[DEST_HIST] |
Copy session from source to destination. |
!f |
!fork
[DEST_HIST] |
Fork current session to destination. |
!k |
!kill [NUM] |
Comment out n last entries in history file. |
!!k |
!!kill
[[0]NUM] |
Dry-run of command !kill. |
!s |
!session
[HIST_FILE] |
Change to, search for, or create history file. |
!!s |
!!session
[HIST_FILE] |
Same as !session, break session. |
/temp 0.7”,
“!modgpt-4”, “-p 0.2”,
“/session HIST_NAME”, “[PROMPT]
/pick”, and “[PROMPT] /sh”.The “/pick” command opens a file picker (usually a
command-line file manager). The selected file’s path will be appended to
the current prompt in editing mode.
The “/pick” and “/sh” commands may be run
when typed at the end of the current prompt, such as “[PROMPT]
/sh”, which opens a new shell instance to execute commands
interactively. The output of these commands is appended to the current
prompt.
When the “/pick” command is run at the end of the
prompt, the selected file path is appended instead.
Command “!block [ARGS]” may be run to set raw
model options in JSON syntax according to each API. Alternatively, set
envar $BLOCK_USR.
The script uses a TSV file to record entries, which is kept
at the script cache directory. A new history file can be created or an
existing one changed to with command “/session
[HIST_FILE]”, in which HIST_FILE is the file name of
(with or without the .tsv extension), or path to, a history
file.
When the first positional argument to the script is the command
operator forward slash followed by a history file name, the command
“/session” is assumed.
A history file can contain many sessions. The last one (the tail
session) is always loaded if the resume option -C is
set.
To continue from an old session type in a dot “.” as the
first positional argument from the command line. This is a shortcut for
the “/sub” command, which really copies an old session to
the tail the history file so we can resume it.
If you want to change to a custom history file, type in as the first
positional argument at the command line “/session
[NAME]” or simply “/[NAME]”.
Once the history file is set, the user can resume from an older
session with “/grep [REGEX]”, “/copy
current” or simply “/sub”.
It is also possible to copy sessions of a history file to another
file when a second argument is given to the command with the history
file name, such as “/copy [SRC_HIST_FILE]
[DEST_HIST_FILE]”. A dot as file name means the current history
file.
To load an older session from a history file that is different from the defaults, there are some options.
Change to it with command “!session [NAME]”,
and then “!fork” the older session to the active
session.
Or, “!copy [ORIGN] [DEST]” the session
from a history file to the current or other history file.
In these cases, a pickup interface should open to let the user choose the correct session from the history file.
To change the chat context at run time, the history file may be
edited with the “/hist” command (also for context
injection). Delete history entries or comment them out with
“#”.
To regenerate response, type in the command
“!regen” or a single exclamation mark or forward slash in
the new empty prompt. In order to edit the prompt before the request,
try “!!” (or “//”).
Minimal INSTRUCTION to behave like a chatbot is
given with chat options -cc, unless otherwise explicitly
set by the user.
On chat mode, if no INSTRUCTION is set, minimal instruction is given, and some options auto set, such as increasing temp and presence penalty, in order to un-lobotomise the bot. With cheap and fast models of text cmpls, such as Curie, the `best_of’ option may be worth setting (to 2 or 3).
Prompt engineering is an art on itself. Study carefully how to craft the best prompts to get the most out of text, code and chat cmpls models.
Certain prompts may return empty responses. Maybe the model has nothing to further complete input or it expects more text. Try trimming spaces, appending a full stop/ellipsis, resetting temperature, or adding more text.
Prompts ending with a space character may result in lower quality output. This is because the API already incorporates trailing spaces in its dictionary of tokens.
Note that the model’s steering and capabilities require prompt engineering to even know that it should answer the questions.
It is also worth trying to sample 3 - 5 times (increasing the number of responses with `option -n 3’, for example) in order to obtain a good response.
For more on prompt design, see:
See detailed info on settings for each endpoint at:
Input sequences “\n” and “\t” are only treated specially in restart, start and stop sequences!
When the argument to option -S starts with a full stop,
such as “-S .my_prompt”, load, search
for, or create my_prompt prompt file. If two full stops are
prepended to the prompt name, load it silently. If a comma is used
instead, such as “-S ,my_prompt”,
edit the prompt file, and then load it.
When the argument to option -S starts with a backslash
or a percent sign, such as “-S
/linux_terminal”, search for an
awesome-chatgpt-prompt(-zh) (by Fatih KA and PlexPt). Set
“//” or “%%” to refresh local cache. Use with
davinci and gpt-3.5+ models.
These options also set corresponding history files automatically.
Please note and make sure to backup your important custom prompts!
They are located at “~/.cache/chatgptsh/” with the
extension “.pr”.
An image can be created given a text prompt. A text PROMPT of the desired image(s) is required. The maximum length is 1000 characters.
Variations of a given IMAGE can be generated. The IMAGE to use as the basis for the variations must be a valid PNG file, less than 4MB and square.
To edit an IMAGE, a MASK file may be optionally provided. If MASK is not provided, IMAGE must have transparency, which will be used as the mask. A text prompt is required.
If ImageMagick is available, input IMAGE and MASK will be checked and processed to fit dimensions and other requirements.
A transparent colour must be set with
“-@[COLOUR]” to create the mask.
Defaults=black.
By defaults, the COLOUR must be exact. Use the `fuzz option’
to match colours that are close to the target colour. This can be set
with “-@[VALUE%]” as a percentage of the maximum
possible intensity, for example “-@10%black”.
See also:
An alpha channel is generated with ImageMagick from any image with the set transparent colour (defaults to black). In this way, it is easy to make a mask with any black and white image as a template.
In-painting is achieved setting an image with a MASK and a prompt.
Out-painting can also be achieved manually with the aid of this script. Paint a portion of the outer area of an image with alpha, or a defined transparent colour which will be used as the mask, and set the same colour in the script with `option -@’. Choose the best result amongst many results to continue the out-painting process step-wise.
Transcribes audio file or voice record into the set language. Set a two-letter ISO-639-1 language code (en, es, ja, or zh) as the positional argument following the input audio file. A prompt may also be set as last positional parameter to help guide the model. This prompt should match the audio language.
If the last positional argument is “.” or “last” exactly, it will resubmit the last recorded audio input file from cache.
Note that if the audio language is different from the set language code, output will be on the language code (translation).
Translates audio into English. An optional text to guide the model’s style or continue a previous audio segment is optional as last positional argument. This prompt should be in English.
Setting temperature has an effect, the higher the more random.
For LocalAI integration, run the script with
option --localai, or set environment
$OPENAI_BASE_URL with the server Base URL.
For Mistral AI set environment variable
$MISTRAL_API_KEY, and run the script with
option --mistral or set $OPENAI_BASE_URL
to “https://api.mistral.ai/”. Prefer setting command line
option --mistral for complete integration.
For Ollama, set option -O (--ollama), and
set $OLLAMA_BASE_URL if the server URL is different
from the defaults.
Note that model management (downloading and setting up) must follow the Ollama project guidelines and own methods.
For Google Gemini, set environment variable
$GOOGLE_API_KEY, and run the script with the command
line option --google.
For Groq, set the environmental variable $GROQ_API_KEY.
Run the script with option --groq. Whisper endpoint
available.
For Anthropic, set envar $ANTHROPIC_API_KEY and run the
script with command line option --anthropic.
For GitHub Models, $GITHUB_TOKEN and invoke the script
with option --github.
For Novita AI integration, set the environment variable
$NOVITA_API_KEY and use the --novita option.
Novita AI offers a range of LLM models, including the highly recommended
Llama 3.1 model. For an uncensored model, consider
sao10k/l3-70b-euryale-v2.1 or
cognitivecomputations/dolphin-mixtral-8x22b.
And for xAI’s Grok, set environment $XAI_API_KEY with
your API key.
Run the script with option --xai and also with
option -cc (chat completions.).
Some models also work with native text completions. For that, set
command-line option -c instead.
BLOCK_USR
Extra options for the request JSON block (e.g. “"seed": 33, "dimensions": 1024”).
Script cache directory base.
Path to the user configuration file.
Defaults="~/.chatgpt.conf"
Path to a history / session TSV file (script-formatted).
Initial initial instruction or system message.
Initial initial instruction or system message for chat mode.
MOD_CHAT, MOD_IMAGE, MOD_AUDIO,
MOD_SPEECH, MOD_LOCALAI, MOD_OLLAMA,
MOD_MISTRAL, MOD_GOOGLE, MOD_GROQ,
Set default model for each endpoint / provider.
OPENAI_BASE_URL
Main Base URL setting. Alternatively, provide a URL_PATH parameter with the full url path to disable endpoint auto selection.
Base URLs for each service provider: LOCALAI, OLLAMA, MISTRAL, GOOGLE, ANTHROPIC, GROQ, GITHUB, and NOVITA.
OPENAI_API_KEY
Keys for OpenAI, GoogleAI, MistralAI, Groq, GitHub and Novita AI APIs.
Output directory for received image and audio.
RESTART
Restart and start sequences. May be set to null.
Restart=“\nQ: ” Start="\nA:" (chat mode)
VISUAL
Text editor for external prompt editing.
Defaults="vim"
Clipboard set command, e.g. “xsel -b”, “pbcopy”.
Audio player command, e.g. “mpv –no-video –vo=null”.
Audio recorder command, e.g. “sox -d”.
The colour scheme may be customised. A few themes are available in the template configuration file.
A small colour library is available for the user conf file to personalise the theme colours.
The colour palette is composed of $Red, $Green, $Yellow, $Blue, $Purple, $Cyan, $White, $Inv (invert), and $Nc (reset) variables.
Bold variations are defined as $BRed, $BGreen, etc, and background colours can be set with $On_Yellow, $On_Blue, etc.
Alternatively, raw escaped color sequences, such as \u001b[0;35m, and \u001b[1;36m may be set.
Theme colours are named variables from Colour1 to about
Colour11, and may be set with colour-named variables or raw
escape sequences (these must not change cursor position).
BashcURL, and JQOptional packages for specific features.
Base64 - Image endpoint, vision modelsPython - Modules tiktoken, markdown, bs4ImageMagick/fbida - Image edits and
variationsSoX/Arecord/FFmpeg - Record
input (Whisper)mpv/SoX/Vlc/FFplay/afplay
- Play TTS outputxdg-open/open/xsel/xclip/pbcopy
- Open images, set clipboardW3M/Lynx/ELinks/Links
- Dump URL textbat/Pygmentize/Glow/mdcat/mdless
- Markdown supporttermux-api/termux-tools/play-audio
- Termux systempoppler/gs/abiword/ebook-convert/LibreOffice
- Dump PDF or Doc as textdialog/kdialog/zenity/osascript/termux-dialog
- File pickerBash “read command” may not correctly display input buffers larger than the TTY screen size during editing. However, input buffers remain unaffected. Use the text editor interface for big prompt editing.
If readline screws up your currrent input buffer, try pressing <CTRL-L> to force it to redisplay and refresh the prompt properly on screen.
File paths containing spaces may not work correctly in the chat interface. Make sure to backslash-escape filepaths with white spaces.
Folding the response at white spaces may not worked correctly if the user has changed his terminal tabstop setting. Reset it with command ``tabs -8’’ or ``reset’’ before starting the script, or set one of these in the script configuration file.
If folding does not work well at all, try exporting envar
$COLUMNS before script execution.
Bash truncates input on “\000” (null).
Garbage in, garbage out. An idiot savant.
The script logic resembles a bowl of spaghetti code after a cat fight.
The script objective is to implement most features of OpenAI API version 1 but not all endpoints or options will be covered.
This project doesn’t support “Function Calling” or “Structured Outputs”.
Set Anthropic integration (cmpls/chat).
Set GitHub Models integration (chat).
Set Google Gemini integration (cmpls/chat).
Set Groq integration (chat).
Set LocalAI integration (cmpls/chat).
Set Mistral AI integration (chat).
Set Novita AI integration (cmpls/chat).
Reset service integrations.
Set and make requests to Ollama server (cmpls/chat).
Set xAI integrations (cmpls/chat).
Ignore user configuration file.
Edit configuration file with text editor, if it exists.
$CHATGPTRC="~/.chatgpt.conf".
Dump template configuration file to stdout.
/HIST_FILE]Edit history file with text editor or pipe to stdout.
A history file name can be optionally set as argument.
/HIST_FILE]Print out last history session.
Set twice to print commented out history entries, inclusive. Heeds
options -ccdrR.
These are aliases to -HH and -HHH, respectively.
Toggle multiline prompter, <CTRL-D> flush.
Set cat prompter, <CTRL-D> flush.
Edit prompt in text editor.
Set twice to run the text editor interface a single time for the first user input.
Set options -eex to edit last buffer from cache.
Chat mode in text completions (used with
options -wzvv).
Chat mode in chat completions (used with
options -wzvv).
Continue from (resume) last session (cmpls/chat).
Single-turn session of plain text completions.
Multi-turn session of plain text completions with history support.
Edit first input from stdin or file (cmpls/chat).
With options -eex, edit last text editor buffer from
cache.
Exit on first run (even with options -cc).
Set response streaming.
Unset response streaming.
Generate images given a prompt. Set option -v to not open response.
Create variations of a given image.
Edit image with mask and prompt (required).
Insert text rather than completing only. May be set twice for multi-turn.
Use “[insert]” to indicate where the language model should insert text (`instruct’ and Mistral `code models’).
-S .[PROMPT_NAME], -.[PROMPT_NAME]
Load, search for, or create custom prompt.
Set .[PROMPT] to load prompt silently.
Set ,[PROMPT] to single-shot edit prompt.
Set ,,[PROMPT] to edit the prompt template
file.
Set .?, or .list to list
all prompt files.
-S, –awesome /[AWESOME_PROMPT_NAME]
Set or search for an awesome-chatgpt-prompt(-zh).
Set // or %% instead to refresh cache.
-T, --tiktoken
Count input tokens with python Tiktoken (ignores special tokens).
Set twice to print tokens, thrice to available encodings.
Set the model or encoding with option -m.
It heeds options -ccm.
Transcribe audio file speech into text. LANG is optional. A prompt that matches the speech language is optional. Speech will be transcribed or translated to the target LANG.
Set twice to phrase or thrice for word-level timestamps (-www).
With options -vv, stop voice recorder on silence auto
detection.
Translate audio file speech into English text.
Set twice to phrase or thrice for word-level timestamps (-WWW).
Synthesise speech from text prompt. Takes a voice name, speed and text prompt.
Set option -v to not play response automatically.
Set transparent colour of image mask. Def=black.
Fuzz intensity can be set with [VAL%]. Def=0%.
Unset model max response tokens (chat cmpls only).
-NUM
Set maximum number of response tokens. Def=1024.
A second number in the argument sets model capacity.
Set model capacity tokens. Def=auto, Fallback=4000.
Set presence penalty (cmpls/chat, -2.0 - 2.0).
Set frequency penalty (cmpls/chat, -2.0 - 2.0).
Set best of, must be greater than option -n (cmpls).
Def=1.
Request log probabilities, also see -Z (cmpls, 0 - 5),
Set a seed for deterministic sampling (integer).
Set Top_k value (local-ai, ollama, google).
Set how long the model will stay loaded into memory (ollama).
Set language MODEL name. Def=gpt-3.5-turbo-instruct/gpt-4o.
Set MODEL name as “.” to pick from the list.
Set model multimodal model type.
Set number of results. Def=1.
Set Top_p value, nucleus sampling (cmpls/chat, 0.0 - 1.0).
Set restart sequence string (cmpls).
Set start sequence string (cmpls).
Set stop sequences, up to 4. Def="<|endoftext|>".
Set an instruction text prompt. It may be a text file.
Insert the current date and time (timestamp) to the instruction prompt.
Set temperature value (cmpls/chat/whisper), (0.0 - 2.0, whisper 0.0 - 1.0). Def=0.
Set API key to use.
Set or unset response folding (wrap at white spaces).
Print the help page.
Print OpenAI usage status (requires envar
$OPENAI_ADMIN_KEY).
Disable colour output. Def=auto.
List models or print details of MODEL.
Set log file. FILEPATH is required.
Enable markdown rendering in response. Software is optional: bat, pygmentize, glow, mdcat, or mdless.
Disable markdown rendering.
Copy response to clipboard.
Less verbose.
Sleep after response in voice chat (-vvccw).
With options -ccwv, sleep after response. With
options -ccwzvv, stop recording voice input on silence
detection and play TTS response right away.
May be set multiple times.
Dump raw JSON request block (debug).
Print script version.
Set tiktoken for token count (cmpls/chat, python).
Unset tiktoken use (cmpls/chat, python).
Print JSON data of the last responses.