I working on connecting OpenAI to Google Dialogflow CX and am writing my webhook with Google cloud functions. I researched and I came up with a code but each time it does not deploy. Is that this is not possible with Cloud functions as I would need to get a user query from dialogflow cx? or there is something missing in the code
My cloud function code: entry_point is webhook
import openai
import json
import requests
from google.cloud import secretmanager
# Initialize the Secret Manager client
client = secretmanager.SecretManagerServiceClient()
# Store the conversation history if necessary
convo = []
def get_secret(secret_name, project_id, version_id='latest'):
"""
Retrieve a secret from Google Cloud Secret Manager.
"""
resource_name = f"projects/{project_id}/secrets/{secret_name}/versions/{version_id}"
try:
# Access the secret version
response = client.access_secret_version(request={"name": resource_name})
# Return the payload of the secret
return response.payload.data.decode("UTF-8")
except Exception as e:
print(f"Error accessing secret '{secret_name}':", e)
return None
def query_gpt(prompt):
"""
Query the OpenAI completion endpoint with a prompt.
"""
body = {
"model": "text-davinci-003",
"prompt": prompt,
"max_tokens": 200,
"temperature": 0.9,
"top_p": 1,
"n": 1,
"frequency_penalty": 0,
"presence_penalty": 0.6
}
header = {"Authorization": f"Bearer {get_secret('openai-api-key', 'my-project-id')}"}
res = requests.post('https://api.openai.com/v1/completions', json=body, headers=header)
return res.json()
def webhook(request):
"""
HTTP Cloud Function entry point.
"""
if request.method != 'POST':
return ('Only POST method is accepted', 405)
request_json = request.get_json(silent=True)
if not request_json or 'text' not in request_json:
return ('Missing "text" in request', 400)
query = request_json['text']
convo.append(f'User: {query}')
convo.append("Addie:")
prompt = "\n".join(convo)
response = query_gpt(prompt)
result = response.get('choices')[0].get('text').strip('\n')
convo.append(result)
return json.dumps({
'fulfillment_response': {
'messages': [{
'text': {
'text': [result],
'redactedText': [result]
},
'responseType': 'HANDLER_PROMPT',
'source': 'VIRTUAL_AGENT'
}]
}
})
You have an error in your code in the query_gpt
function. You are using the requests
library to make a POST request to the OpenAI completion endpoint, OpenAI API requires you to use the openai
library for Python.
def query_gpt(prompt):
openai.api_key = get_secret('openai-api-key', 'my-project-id')
response = openai.Completion.create(model="text-davinci-003", prompt=prompt, max_tokens=200, temperature=0.9, top_p=1, n=1, frequency_penalty=0, presence_penalty=0.6)
return response
Through these modifications, your code will work