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langchain/libs/partners/anthropic
Erick Friis 3dce2e1d35
all: add release notes to pypi (#24519)
2 months ago
..
langchain_anthropic core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417) 2 months ago
scripts infra: add print rule to ruff (#16221) 8 months ago
tests core[minor], integrations...[patch]: Support ToolCall as Tool input and ToolMessage as Tool output (#24038) 2 months ago
.gitignore anthropic: beta messages integration (#14928) 9 months ago
LICENSE anthropic: beta messages integration (#14928) 9 months ago
Makefile infra: update mypy 1.10, ruff 0.5 (#23721) 3 months ago
README.md anthropic[minor]: add tool calling (#18554) 7 months ago
poetry.lock integrations[patch]: require core >=0.2.17 (#24207) 2 months ago
pyproject.toml all: add release notes to pypi (#24519) 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: ")