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langchain/libs/partners/anthropic
ZhangShenao 2c3e3dc6b1
patch[Partners] Unified fix of incorrect variable declarations in all check_imports (#25014)
There are some incorrect declarations of variable `has_failure` in
check_imports. The purpose of this PR is to uniformly fix these errors.
2 months ago
..
langchain_anthropic
scripts patch[Partners] Unified fix of incorrect variable declarations in all check_imports (#25014) 2 months ago
tests
.gitignore
LICENSE
Makefile
README.md
poetry.lock integrations[patch]: release model packages (#24900) 2 months ago
pyproject.toml integrations[patch]: release model packages (#24900) 2 months ago

README.md

langchain-anthropic

This package contains the LangChain integration for Anthropic's generative models.

Installation

pip install -U langchain-anthropic

Chat Models

Anthropic recommends using their chat models over text completions.

You can see their recommended models here.

To use, you should have an Anthropic API key configured. Initialize the model as:

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

model = ChatAnthropic(model="claude-3-opus-20240229", temperature=0, max_tokens=1024)

Define the input message

message = HumanMessage(content="What is the capital of France?")

Generate a response using the model

response = model.invoke([message])

For a more detailed walkthrough see here.

LLMs (Legacy)

You can use the Claude 2 models for text completions.

from langchain_anthropic import AnthropicLLM

model = AnthropicLLM(model="claude-2.1", temperature=0, max_tokens=1024)
response = model.invoke("The best restaurant in San Francisco is: ")