|
from __future__ import annotations |
|
|
|
import json |
|
|
|
import requests |
|
|
|
from ...typing import Any, CreateResult |
|
from ..base_provider import AbstractProvider |
|
|
|
|
|
class Lockchat(AbstractProvider): |
|
url: str = "http://supertest.lockchat.app" |
|
supports_stream = True |
|
supports_gpt_35_turbo = True |
|
supports_gpt_4 = True |
|
|
|
@staticmethod |
|
def create_completion( |
|
model: str, |
|
messages: list[dict[str, str]], |
|
stream: bool, **kwargs: Any) -> CreateResult: |
|
|
|
temperature = float(kwargs.get("temperature", 0.7)) |
|
payload = { |
|
"temperature": temperature, |
|
"messages" : messages, |
|
"model" : model, |
|
"stream" : True, |
|
} |
|
|
|
headers = { |
|
"user-agent": "ChatX/39 CFNetwork/1408.0.4 Darwin/22.5.0", |
|
} |
|
response = requests.post("http://supertest.lockchat.app/v1/chat/completions", |
|
json=payload, headers=headers, stream=True) |
|
|
|
response.raise_for_status() |
|
for token in response.iter_lines(): |
|
if b"The model: `gpt-4` does not exist" in token: |
|
print("error, retrying...") |
|
|
|
Lockchat.create_completion( |
|
model = model, |
|
messages = messages, |
|
stream = stream, |
|
temperature = temperature, |
|
**kwargs) |
|
|
|
if b"content" in token: |
|
token = json.loads(token.decode("utf-8").split("data: ")[1]) |
|
token = token["choices"][0]["delta"].get("content") |
|
|
|
if token: |
|
yield (token) |
