llm()
Generate conversational responses using different language models including ChatGPT, Gemini, Gemma, and KellyAI. This method allows you to customize the AI’s personality through the character parameter.
Method signature
await client.llm(
prompt: str,
model: str = "chatgpt",
character: str = "KelyAI"
)
Parameters
The user message or question you want the language model to respond to. This can be a question, instruction, or conversation prompt.
The language model to use for generating the response. Available options include:
"chatgpt" - OpenAI’s ChatGPT model"gemini" - Google’s Gemini model"gemma" - Google’s Gemma model"kellyai" - Kelly AI’s custom model
Use the llm_models() method to get the complete list of available models. The personality or character the AI should adopt when responding. This parameter allows you to customize the tone and style of responses. You can specify any character name or personality type to influence the AI’s behavior.
Returns
The generated text response from the language model as a string.
Usage examples
Basic usage with ChatGPT
import asyncio
from kellyapi import KellyAPI
client = KellyAPI(api_key="your-api-key")
async def main():
response = await client.llm(
prompt="What is the capital of France?"
)
print(response)
asyncio.run(main())
Using Google Gemini
import asyncio
from kellyapi import KellyAPI
client = KellyAPI(api_key="your-api-key")
async def main():
response = await client.llm(
prompt="Explain quantum computing in simple terms",
model="gemini"
)
print(response)
asyncio.run(main())
Using Gemma model
import asyncio
from kellyapi import KellyAPI
client = KellyAPI(api_key="your-api-key")
async def main():
response = await client.llm(
prompt="Write a short poem about the ocean",
model="gemma"
)
print(response)
asyncio.run(main())
Using KellyAI with custom character
import asyncio
from kellyapi import KellyAPI
client = KellyAPI(api_key="your-api-key")
async def main():
response = await client.llm(
prompt="Give me advice for learning Python",
model="kellyai",
character="Expert Python Developer"
)
print(response)
asyncio.run(main())
Customizing character personality
import asyncio
from kellyapi import KellyAPI
client = KellyAPI(api_key="your-api-key")
async def main():
# Use a friendly tutor character
response = await client.llm(
prompt="How do I improve my code quality?",
model="chatgpt",
character="Friendly Coding Tutor"
)
print(response)
asyncio.run(main())