CompletionGeneration

import os

from chainlit.playground.providers import OpenAI
import chainlit as cl

# If no OPENAI_API_KEY is available, the OpenAI provider won't be available in the prompt playground
os.environ["OPENAI_API_KEY"] = "sk-..."

template = """Hello, this is a template.
This is a variable1 {variable1}
And this is variable2 {variable2}
"""

inputs = {
    "variable1": "variable1 value",
    "variable2": "variable2 value",
}

settings = {
    "model": "gpt-3.5-turbo",
    "temperature": 0,
    # ... more settings
}

# Let's pretend we made the call to openai and this is the response
completion = "The openai completion"

@cl.step(type="llm")
async def fake_llm():
    # Pretend we're calling the LLM
    await cl.sleep(2)

    fake_completion = "The openai completion"

    formatted_template = template.format(**inputs)

    # Add the generation to the current step
    cl.context.current_step.generation = cl.CompletionGeneration(
        provider=OpenAI.id,
        completion=fake_completion,
        inputs=inputs,
        settings=settings,
        template=template,
        formatted=formatted_template,
    )

    return fake_completion


@cl.on_chat_start
async def start():
    await fake_llm()