langchain/libs/partners/anthropic
Fayfox 9fd36efdb5
anthropic[patch]: env ANTHROPIC_API_URL not work (#20507)
enviroment variable ANTHROPIC_API_URL will not work if anthropic_api_url
has default value

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Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2024-04-16 10:16:51 -04:00
..
langchain_anthropic anthropic[patch]: env ANTHROPIC_API_URL not work (#20507) 2024-04-16 10:16:51 -04:00
scripts infra: add print rule to ruff (#16221) 2024-02-09 16:13:30 -08:00
tests multiple: standard chat model tests (#20359) 2024-04-11 18:23:13 -07:00
.gitignore
LICENSE
Makefile anthropic[patch]: de-beta anthropic messages, release 0.0.2 (#17540) 2024-02-14 10:31:45 -08:00
poetry.lock multiple: standard chat model tests (#20359) 2024-04-11 18:23:13 -07:00
pyproject.toml multiple: standard chat model tests (#20359) 2024-04-11 18:23:13 -07:00
README.md anthropic[minor]: add tool calling (#18554) 2024-03-05 08:30:16 -08:00

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: ")