[unhammer]

That seems handy, maybe this way I can keep using jq on the command line without ever having to learn jq's syntax.

I made a pure bash version since I don't always have php installed:

    gpt () {
        api_key=$(cat ~/.config/openai.key)
        verbose=false
        if [[ $1 = -v ]]; then
            verbose=true
            shift
        fi
        userinput="$*"
        # shellcheck disable=SC2016
        system='You are an interactive shell command line shell agent.
    You just get things done, rather than trying to explain.
    Do your best to respond with 1 command that will meet the requirements.
    Start a line with `$ ` to have it sent directly to the shell VERBATIM.
    All other output is just echoed.
    Favor 1 line shell commands.
    Be terse.
    Important: Every command you output will automatically be executed in this env: bash'
        systemj="$(jq -Rs . <<<"${system}")"
        userinputj="$(jq -Rs . <<<"${userinput}")"
        payload='{ "model": "gpt-3.5-turbo",
                "messages": [{"role":"system", "content": '"${systemj}"'},
                                {"role": "user", "content": '"${userinputj}"'}],
                "temperature": 0.15,
                "stream":false }'
        if $verbose; then
            set -x
        fi
        if ! res=$(curl -Ss -f https://api.openai.com/v1/chat/completions \
                        -H "Content-Type: application/json"               \
                        -H "Authorization: Bearer ${api_key}"             \
                        -d "${payload}"); then
            echo "ERROR: ${res}" >&2
            return 1
        else
            $verbose && echo "RESULT: ${res}"
            jq -r '.choices[0].message.content' <<<"${res}"
        fi
        set +x
    }

-----

I even tried using GPT to help me develop it!

    $ gpt -v get the actual completion from an openai /completions request using jq
    RESULT: {
      "id": "chatcmpl-8IZvb4lQaFgcDdnSnsU4t6zhFRrbN",
      "object": "chat.completion",
      "created": 1699438703,
      "model": "gpt-3.5-turbo-0613",
      "choices": [
        {
          "index": 0,
          "message": {
            "role": "assistant",
            "content": "$ jq '.choices[0].text'"
          },
          "finish_reason": "stop"
        }
      ],
      "usage": {
        "prompt_tokens": 116,
        "completion_tokens": 9,
        "total_tokens": 125
      }
    }

… there's probably a lesson in there.