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Hi, from what I've looked up and coding practices langchain now supports siliconflow, does ScrapeGraph now need to add this part of the code? Below is my implementation of siliconflow.py which is based on deepseek.py. I tested it with the code I wrote, and it can be called successfully, this problem has occurred in #460. I hope to adopt thank you!
def __init__(self, **llm_config):
if 'api_key' in llm_config:
llm_config['openai_api_key'] = llm_config.pop('api_key')
if 'base_url' in llm_config:
llm_config['openai_api_base'] = llm_config.pop('base_url')
super().__init__(**llm_config)
`
The text was updated successfully, but these errors were encountered:
Hi, from what I've looked up and coding practices langchain now supports siliconflow, does ScrapeGraph now need to add this part of the code? Below is my implementation of siliconflow.py which is based on deepseek.py. I tested it with the code I wrote, and it can be called successfully, this problem has occurred in #460. I hope to adopt thank you!
siliconflow.py
`#!/usr/bin/env python3
# -- coding: utf-8 --
#
# Copyright (c) 2025 LouShimin, Inc. All Rights Reserved
#
# @Version : 1.0
# @author : LouShimin
# @time : 2025/4/3 9:52
# @filename: siliconflow.py
# @desc : 硅基流动——模型接入
"""
siliconflow Module
"""
from langchain_openai import ChatOpenAI
class SiliconFlow(ChatOpenAI):
`
The text was updated successfully, but these errors were encountered: