app/gen/openllm.py

from openai import AsyncOpenAI

base_url = "http://127.0.0.1:8080/v1"
client = AsyncOpenAI(base_url=base_url, api_key="-")

def _default_parameters():
    """
        frequency_penalty: Optional[float] = None,
        logit_bias: Optional[List[float]] = None,
        logprobs: Optional[bool] = None,
        top_logprobs: Optional[int] = None,
        max_tokens: Optional[int] = None,
        n: Optional[int] = None,
        presence_penalty: Optional[float] = None,
        stream: bool = False,
        seed: Optional[int] = None,
        temperature: Optional[float] = None,
        top_p: Optional[float] = None,
        tools: Optional[List[Tool]] = None,
        tool_choice: Optional[str] = None,
    """
    return {
        "max_tokens": 256,
        "stream": True,
        "temperature": 0.9,
    }

def translate_messages(history):
    messages = []

    for conv in history:
        messages.append({"role":"user", "content":conv[0]})
        messages.append({"role":"assistant", "content":conv[1]})

    return messages

async def chat(messages, parameters=None):
    if parameters is None:
        parameters = _default_parameters()

    responses = await client.chat.completions.create(
        model="tgi", messages=messages, **parameters
    )

    async for resp in responses:
        yield resp.choices[0].delta.content