Lua

OpenAI (ChatGPT) Simple Request

See more OpenAI ChatGPT Examples

Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY. Lua

local chilkat = require("chilkat")

-- This example assumes the Chilkat API to have been previously unlocked.
-- See Global Unlock Sample for sample code.

local http = chilkat.Http.new()

-- Implements the following CURL command:

-- curl https://api.openai.com/v1/chat/completions \
--   -H "Content-Type: application/json" \
--   -H "Authorization: Bearer $OPENAI_API_KEY" \
--   -d '{
--      "model": "gpt-3.5-turbo",
--      "messages": [{"role": "user", "content": "Say this is a test!"}],
--      "temperature": 0.7
--    }'

-- Use the following online tool to generate HTTP code from a CURL command
-- Convert a cURL Command to HTTP Source Code

-- Use this online tool to generate code from sample JSON:
-- Generate Code to Create JSON

-- The following JSON is sent in the request body.

-- {
--   "model": "gpt-3.5-turbo",
--   "messages": [
--     {
--       "role": "user",
--       "content": "Say this is a test!"
--     }
--   ],
--   "temperature": 0.7
-- }

local json = chilkat.JsonObject.new()
json:update_string("model", "gpt-3.5-turbo")
json:update_string("messages[0].role", "user")
json:update_string("messages[0].content", "Say this is a test!")
json:update_number("temperature", "0.7")

-- Adds the "Authorization: Bearer $OPENAI_API_KEY" header.
-- This is NOT a real key.  Change the "sk-vi...." to your own key.
http.auth_token = "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"

local resp = chilkat.HttpResponse.new()
local success = http:http_json("POST", "https://api.openai.com/v1/chat/completions", json, "application/json", resp)
if not success then
    print(http.last_error_text)
    return
end

local sbResponseBody = chilkat.StringBuilder.new()
resp:get_body_sb(sbResponseBody)

local jResp = chilkat.JsonObject.new()
jResp:load_sb(sbResponseBody)
jResp.emit_compact = false

print("Response Body:")
print(jResp:emit())

local respStatusCode = resp.status_code
print("Response Status Code = " .. respStatusCode)
if respStatusCode >= 400 then
    print("Response Header:")
    print(resp.header)
    print("Failed.")
    return
end

-- Sample JSON response:
-- (Sample code for parsing the JSON response is shown below)

-- {
--   "id": "chatcmpl-abc123",
--   "object": "chat.completion",
--   "created": 1677858242,
--   "model": "gpt-3.5-turbo-0301",
--   "usage": {
--     "prompt_tokens": 13,
--     "completion_tokens": 7,
--     "total_tokens": 20
--   },
--   "choices": [
--     {
--       "message": {
--         "role": "assistant",
--         "content": "\n\nThis is a test!"
--       },
--       "finish_reason": "stop",
--       "index": 0
--     }
--   ]
-- }

-- Sample code for parsing the JSON response...
-- Use the following online tool to generate parsing code from sample JSON:
-- Generate Parsing Code from JSON

local Role = ""
local Content = ""
local finish_reason = ""
local index = 0

local id = jResp:string_of("id")
local v_object = jResp:string_of("object")
local created = jResp:int_of("created")
local model = jResp:string_of("model")
local Prompt_tokens = jResp:int_of("usage.prompt_tokens")
local Completion_tokens = jResp:int_of("usage.completion_tokens")
local Total_tokens = jResp:int_of("usage.total_tokens")
local i = 0
local count_i = jResp:size_of_array("choices")
while i < count_i do
    jResp.i = i
    Role = jResp:string_of("choices[i].message.role")
    Content = jResp:string_of("choices[i].message.content")
    finish_reason = jResp:string_of("choices[i].finish_reason")
    index = jResp:int_of("choices[i].index")
    i = i + 1
end