Cohere 集成

您当前所在的页面介绍的是 Cohere models as text completion models. Many popular Cohere models are chat completion models.You may be looking for 此页面.

Cohere is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions.

Head to the API reference 查看所有属性和方法的详细文档。

概述

类	包	本地	可序列化	JS 支持	下载量	版本
`Cohere`	`langchain-community`	❌	beta	✅

The 集成位于 langchain-community package. We also need to install the cohere package itself. We can install these with:

We’ll need to get a Cohere API key and set the COHERE_API_KEY 环境变量：

import getpass
import os

if "COHERE_API_KEY" not in os.environ:
    os.environ["COHERE_API_KEY"] = getpass.getpass()

pip install -U langchain-community langchain-cohere

It’s also helpful (but not needed) to set up LangSmith for best-in-class observability

os.environ["LANGSMITH_TRACING"] = "true"
# os.environ["LANGSMITH_API_KEY"] = getpass.getpass()

Cohere supports all LLM functionality:

from langchain_cohere import Cohere
from langchain.messages import HumanMessage

model = Cohere(max_tokens=256, temperature=0.75)

message = "Knock knock"
model.invoke(message)

" Who's there?"

await model.ainvoke(message)

" Who's there?"

for chunk in model.stream(message):
    print(chunk, end="", flush=True)

 Who's there?

model.batch([message])

[" Who's there?"]

有关所有 Cohere llm 功能和配置的详细文档，请前往 API reference

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