-module(gopenai).
-compile([no_auto_import, nowarn_unused_vars, nowarn_unused_function, nowarn_nomatch]).

-export([main/0]).

-spec main() -> {ok, gopenai@chat:completion_response()} |
    {error, gopenai@chat:chat_error()}.
main() ->
    System = <<"
Your an IoT Data Analyst your job is to find anomalies from a fridge timeseries (an array of tuples (time,temperature)) for an etire day.
The operational temperature is 5.0°C celsius, an anomaly can be defined as an increment in temperature (+5.0°C celcius) for more than 2 hours.
"/utf8>>,
    Data = <<"
time,temperature
6:00,5.5
7:00,4.5
8:00,5.0
9:00,5.5
10:00,4.5
11:00,5.0
12:00,5.5
13:00,4.5
14:00,5.0
15:00,6.5
16:00,8.5
17:00,10.0
18:00,15.0
19:00,16.0
20:00,17.0
"/utf8>>,
    gleam@result:'try'(
        gopenai@chat:completion(
            gopenai@client:generic(
                <<"https://api.groq.com/openai"/utf8>>,
                <<"GROQ_API_KEY"/utf8>>
            ),
            {request,
                l_la_ma3_size8b,
                [{system_message, System, none}, {user_message, Data, none}],
                +0.0,
                none}
        ),
        fun(Res) -> pprint:debug({ok, Res}) end
    ).