Purpose

The gpt is a cli tool that allows you send something to a OpenAI GPT API compatible service and get the response back.

Usage

simple usage

gpt 'hello, who are you?'

prompt from file

gpt samples/hello.md

Please note there is a @samples/json.txt in the samples/hello.md file. Which will be loaded and replaced with the content of the file.

with images

gpt -i samples/cat.jpg samples/image.md

-i flag is used to specify the image file. can be used multiple times.

with system prompt

gpt -s samples/system.md "who are you?"

-s flag is used to specify the system prompt. in this case, it force translate the user input to chinese language instead answering the question directly.

with mcp server

input

gpt -M "/xxxx/server.py" 'what is result of 223020320+2321?'
or
gpt -M "http://127.0.0.1:8000/sse" 'what is result of 223020320+2321?'

output

I am calculating the result of 223020320 + 2321.
2025/03/05 18:18:44 INFO Model call tool=add args="{\"a\":223020320,\"b\":2321}"
2025/03/05 18:18:44 INFO Model call result tool=add result="{Content:[{223022641 text}] Role:tool ToolCallID:call_74245828}"
The result of 223020320 + 2321 is 223022641.

the server.py is a simple mcp server script, with a tool named add, see MCP Python SDK for more details.

-M flag is used to specify the mcp server script. If you have a mcp server running, you can use this flag to send the request to the script. Ensure that the script is executable and correctly configured to process the input.

There are two kinds of mcp server:

• Local mcp server, communicate with STDIN/STDOUT

  • Local mcp server will be started as a child process.
  • Each -M flag will start a new mcp server, the flag will be split by (space), and the first part is the executable path, the rest is the arguments.
  • Multiple -M flags can be used to start multiple mcp servers. All tools will be passed to the LLM.
  • The executable can be:
    • .py python script, python3 will be used to run the script, .venv will be used if exists.
    • .js javascript script, node will be used to run the script.
    • .ts typescript script, bun will be used to run the script.
    • .go go script, go run will be used to run the script.
    • .sh .bash .ps1 will be run as shell script.
    • any other executable file.

• Remote mcp server, communicate with HTTP SSE

  • -M flag will be used to specify the mcp server url, and the request will be sent to the url.

Installation

go get -u github.com/elsejj/gpt

Configuration

After installation, you can do first run to generate the configuration file.

gpt

It's show you the app version, and the configuration file path. Then you can edit the configuration file to set the API key, Gateway URL (aka Open AI Base URL) and other settings.

LLM gateway

You can use a LLM gateway such as Portkey-AI to serve the Non-OpenAI compatible API like Gemini, Claude, etc.

I had made a fork of the Portkey-AI gateway, which is available at llm-gateway, enable one key to visit multiple API services.

Integration Example

Powershell/bash Copilot

1. copy samples/powershell.md / samples/bash.md to configuration folder
2. for powershell, create a function in your profile $PROFILE.CurrentUserCurrentHost:

function pa {
    $cmd = gpt -u -s powershell.md $args
    Write-Host $cmd
    Set-Clipboard -Value $cmd.Trim()
}

3. for bash, add the following line to your .bashrc:

alias pa='gpt -u -s bash.md'

now you can use pa to generate the powershell command. for example:

• pa list all image files by date desc will generate Get-ChildItem | Sort-Object LastWriteTime -Descending and copy to clipboard.
• pa list recent 10 files will generate ls -lt | head -n 10 and copy to clipboard.