CodeGPT Developer Hub

from  judini.codegpt.agent  import  Agent

# Define an asynchronous function to demonstrate a chat interaction with a CodeGPT agent
async def  chat_example(prompt):

	# Retrieve the CodeGPT API key from environment variables
	CODEGPT_API_KEY  =  os.getenv("CODEGPT_API_KEY")

	# Retrieve the CodeGPT agent ID from environment variables (or you can provide it directly)

	# You can also specify the agent ID directly
	CODEGPT_AGENT_ID  =  os.getenv("CODEGPT_AGENT_ID")

	# Create an instance of the CodeGPT agent using the API key and agent ID
	agent_instance  =  Agent(api_key=CODEGPT_API_KEY, agent_id=CODEGPT_AGENT_ID)

	# Use an asynchronous loop to interact with the agent and get responses
	async for  response  in  agent_instance.chat_completion(prompt, stream=True):
		print(response) # Print the responses obtained from the agent

import { CodeGPTPlus } from 'judini'

async function main () {
    // Replace with your own API Key
    const codegpt = new CodeGPTPlus('CODEGPT_API_KEY')

    // Define the message
    const msg = [{ role: 'user', content: 'What is the capital of Australia?' }]

    // Send the message and process the response
    const res = await codegpt.chatCompletion({
        messages: msg,
        agentId: 'CODEGPT_AGENT_ID'
    }, (chunk) => {
        console.log(chunk) // show the streaming response
    })
}

# Import necessary libraries
from dotenv import load_dotenv
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage
import os

# Load environment variables from .env file
load_dotenv()

# Retrieve API key and agent ID from environment variables
codegpt_api_key= os.getenv("CODEGPT_API_KEY")
code_gpt_agent_id= os.getenv("CODEGPT_AGENT_ID")

# Set API base URL
codegpt_api_base = "https://api.codegpt.co/v1"

# Create a ChatOpenAI object with the retrieved API key, API base URL, and agent ID
llm = ChatOpenAI(openai_api_key=codegpt_api_key,
                openai_api_base=codegpt_api_base,
                model=code_gpt_agent_id)

# Create a list of messages to send to the ChatOpenAI object
messages = [HumanMessage(content="¿What is Judini?")]

# Send the messages to the ChatOpenAI object and retrieve the response
response = llm(messages)

# Print the response
print(response)

curl --request POST \
     --url https://api.codegpt.co/v1/completion \
     --header 'accept: application/json' \
     --header 'content-type: application/json'