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William De Vena a37dc83a9e langchain_anthropic[patch]: Invoke callback prior to yielding token (#18274 ) ## PR title langchain_anthropic[patch]: Invoke callback prior to yielding ## PR message - Description: Invoke callback prior to yielding token in _stream and _astream methods for anthropic. - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: None		2024-02-28 20:19:22 +00:00
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langchain_anthropic	langchain_anthropic[patch]: Invoke callback prior to yielding token (#18274 )	2024-02-28 20:19:22 +00:00
scripts	infra: add print rule to ruff (#16221 )	2024-02-09 16:13:30 -08:00
tests	anthropic[minor]: package move (#17974 )	2024-02-25 21:57:26 -08:00
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LICENSE
Makefile	anthropic[patch]: de-beta anthropic messages, release 0.0.2 (#17540 )	2024-02-14 10:31:45 -08:00
poetry.lock	anthropic[minor]: package move (#17974 )	2024-02-25 21:57:26 -08:00
pyproject.toml	anthropic[minor]: package move (#17974 )	2024-02-25 21:57:26 -08:00
README.md	docs: langchain-anthropic README updates (#17684 )	2024-02-22 16:22:30 -08:00

README.md

langchain-anthropic

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

Installation

pip install -U langchain-anthropic

Chat Models

API Model Name	Model Family
claude-instant-1.2	Claude Instant
claude-2.1	Claude
claude-2.0	Claude

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

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

model = ChatAnthropicMessages(model="claude-2.1", 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.