aiai:: langchain API manual

 

 

https://python.langchain.com/api_reference/reference.html

LangChain Python API Reference — 🦜🔗 LangChain documentation

 

 

 

 

 

Claude.ai

https://github.com/langchain-ai/langchain/tree/master/libs/partners/anthropic

# pip install -U langchain-anthropic

from langchain_anthropic import ChatAnthropic
from langchain_core.messages import AIMessage, HumanMessage

model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0, max_tokens=1024)

 

 

 

Ollama - llama3

https://github.com/langchain-ai/langchain/tree/master/libs/partners/ollama

# pip install -U langchain-ollama
____
from langchain_ollama import ChatOllama

llm = ChatOllama(model="llama3-groq-tool-use")
llm.invoke("Sing a ballad of LangChain.")


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from langchain_ollama import OllamaEmbeddings

embeddings = OllamaEmbeddings(model="llama3")
embeddings.embed_query("What is the meaning of life?")



____
from langchain_ollama import OllamaLLM

llm = OllamaLLM(model="llama3")
llm.invoke("The meaning of life is")

 

 

 

 

OpenAI

https://github.com/langchain-ai/langchain/tree/master/libs/partners/openai

# pip install langchain-openai

from langchain_openai import OpenAI
#from langchain_openai import AzureOpenAI   # for Azure

llm = OpenAI()
llm.invoke("Hello how are you?")

from langchain_core.prompts import PromptTemplate
prompt = PromptTemplate.from_template("How to say {input} in {output_language}:\n")

chain = prompt | llm
chain.invoke(
    {
        "output_language": "German",
        "input": "I love programming.",
    }
)


___
from langchain_openai import ChatOpenAI
#from langchain_openai import AzureChatOpenAI   # for Azure

llm = ChatOpenAI(
    model="gpt-4o",
    temperature=0,
    max_tokens=None,
    timeout=None,
    max_retries=2,
    # api_key="...",  # if you prefer to pass api key in directly instaed of using env vars
    # base_url="...",
    # organization="...",
    # other params...
)

messages = [
    (
        "system",
        "You are a helpful assistant that translates English to French. Translate the user sentence.",
    ),
    ("human", "I love programming."),
]
ai_msg = llm.invoke(messages)
ai_msg

print(ai_msg.content)

___
from langchain_openai import OpenAIEmbeddings
#from langchain_openai import AzureOpenAIEmbeddings   # for Azure

 

 

 

 

 

 

 

 

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