(Chilkat2-Python) OpenAI (ChatGTP) Simple Request

See more OpenAI ChatGPT Examples

Demonstrate a simple ChatGPT request with authentication using your OPENAI_API_KEY.

For more information, see https://platform.openai.com/docs/api-reference/making-requests

Chilkat2 Python Downloads install with pip pip3 install chilkat2 or download... Python Module for Windows, Linux, Alpine Linux, MacOS, Solaris

import sys
import chilkat2

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

http = chilkat2.Http()

# 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
# }

json = chilkat2.JsonObject()
json.UpdateString("model","gpt-3.5-turbo")
json.UpdateString("messages[0].role","user")
json.UpdateString("messages[0].content","Say this is a test!")
json.UpdateNumber("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.AuthToken = "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"
http.SetRequestHeader("Content-Type","application/json")

# resp is a CkHttpResponse
resp = http.PostJson3("https://api.openai.com/v1/chat/completions","application/json",json)
if (http.LastMethodSuccess == False):
    print(http.LastErrorText)
    sys.exit()

sbResponseBody = chilkat2.StringBuilder()
resp.GetBodySb(sbResponseBody)

jResp = chilkat2.JsonObject()
jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = False

print("Response Body:")
print(jResp.Emit())

respStatusCode = resp.StatusCode
print("Response Status Code = " + str(respStatusCode))
if (respStatusCode >= 400):
    print("Response Header:")
    print(resp.Header)
    print("Failed.")

    sys.exit()

# 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

id = jResp.StringOf("id")
v_object = jResp.StringOf("object")
created = jResp.IntOf("created")
model = jResp.StringOf("model")
Prompt_tokens = jResp.IntOf("usage.prompt_tokens")
Completion_tokens = jResp.IntOf("usage.completion_tokens")
Total_tokens = jResp.IntOf("usage.total_tokens")
i = 0
count_i = jResp.SizeOfArray("choices")
while i < count_i :
    jResp.I = i
    Role = jResp.StringOf("choices[i].message.role")
    Content = jResp.StringOf("choices[i].message.content")
    finish_reason = jResp.StringOf("choices[i].finish_reason")
    index = jResp.IntOf("choices[i].index")
    i = i + 1