LM15.jl

using LM15

result = call("gpt-4.1-mini", "Hello.")
println(text(result))

using Pkg
Pkg.add(url="https://github.com/lm15-dev/lm15-jl")

result = call("gpt-4.1-mini", "Hello.")
println(text(result))
println(usage(result))
println(finish_reason(result))

for chunk in stream(call("gpt-4.1-mini", "Write a haiku."))
    chunk.type == "text" && print(chunk.text)
end

weather_tool = FunctionTool("get_weather", "Get weather by city",
    parameters=Dict{String,Any}(
        "type"=>"object",
        "properties"=>Dict{String,Any}("city"=>Dict{String,Any}("type"=>"string")),
        "required"=>["city"]),
    fn_=args -> "22°C in $(args["city"])")

result = call("gpt-4.1-mini", "Weather in Montreal?", tools=[weather_tool])
println(text(result))

using LM15

result = call("gemini-2.5-flash", "Describe this.",
    messages=[Message(role="user", parts=[
        TextPart("Describe this image."),
        ImageURL("https://example.com/cat.jpg"),
    ])])

result = call("claude-sonnet-4-5", "Prove √2 is irrational.", reasoning=true)
println(thinking(result))
println(text(result))

conv = Conversation(system="You are helpful.")
user!(conv, "My name is Max.")
# ... pass conv.messages to call()

configure!(track_costs=true)

result = call("gpt-4.1-mini", "Explain TCP.")
println(cost(result))

m = model("claude-sonnet-4")
println(text(call(m, "What is TCP?")))
println(text(call(m, "What is UDP?")))
println(total_cost(m))

gpt = model("gpt-4.1-mini", system="You are terse.")
r1 = call(gpt, "Hello!")
r2 = call(gpt, "What did I say?")  # remembers conversation

using LM15

println(dump_curl("gpt-4.1-mini", "Hello.", env=".env"))
println(JSON.serialize(dump_http("gpt-4.1-mini", "Hello.", env=".env")))