LangChain与百度千帆集成调用文心一言大模型：

一段最基本的调用代码：

from langchain_core.messages import HumanMessage
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser

os.environ["QIANFAN_AK"] = "你的apikey"
os.environ["QIANFAN_SK"] = "你的密钥"

chat = QianfanChatEndpoint(
    model="ERNIE-Lite-8K-0308",#这里做测试使用最小模型，还免费
    streaming=False,
)
prompt = ChatPromptTemplate.from_messages(
    [
        ("system", "你是一个｛name｝"),
        ("human", "我是{user}请推荐关于{book}这本书的扩展阅读书目"),

    ]
)
# res = chat([HumanMessage(content="你好，你是谁？")])
# print(res.content)
chain = prompt | chat|StrOutputParser()
res = chain.invoke({"name": "图书管理员", "book": "三国演义", "user": "小学生"})
print(res)

LangChain使用openai调用百度部署的DeepSeek:

下面是一段最基础的调用代码：

from qianfan import Qianfan
from langchain.chat_models.base import BaseChatModel
from langchain_openai import ChatOpenAI
from langchain import PromptTemplate
from langchain_core.messages import HumanMessage
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser,JsonOutputParser



Model = ChatOpenAI(
    base_url='https://qianfan.baidubce.com/v2',
    api_key='你的api_key',
    model_name='deepseek-r1-distill-llama-8b'
    ,max_tokens=2000
)

res=Model.invoke("你好")
print(res)

LangChain直接调用deepseek官方大模型

代码如下：

#首先需要安装包
pip install -U langchain-deepseek
#申请api-key,设置环境变量
export DEEPSEEK_API_KEY="your-api-key"

from langchain_core.prompts import ChatPromptTemplate
from langchain_openai import ChatOpenAI
from langchain_deepseek import ChatDeepSeek
def CreateChartDeepSeek():
    llm = ChatDeepSeek(
        model="deepseek-chat",
        temperature=0,
        max_tokens=2048,
        timeout=None,
        max_retries=2,
        api_key="设置api_key",

    )
    return llm

if __name__ == "__main__":
    llm = CreateChartDeepSeek()
    res = llm.invoke("存值2块钱能用deepseek多少个tokens")
    print(res)

更多内容参考官网： 

https://python.langchain.com/api_reference/deepseek/chat_models/langchain_deepseek.ch