Bedrock JCVD 🕺🥋
LangChain template that uses Anthropic's Claude on Amazon Bedrock to behave like JCVD.
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For information on how to do this, see AWS Boto3 documentation (Developer Guide > Credentials).
By default, this template uses Anthropic's Claude v2 (
To request access to a specific model, check out the Amazon Bedrock User Guide (Model access)
To use a different model, set the environment variable
BEDROCK_JCVD_MODEL_ID. A list of base models is available in the Amazon Bedrock User Guide (Use the API > API operations > Run inference > Base Model IDs).
To use this package, you should first have the LangChain CLI installed:
pip install -U langchain-cli
To create a new LangChain project and install this as the only package, you can do:
langchain app new my-app --package bedrock-jcvd
If you want to add this to an existing project, you can just run:
langchain app add bedrock-jcvd
And add the following code to your
from bedrock_jcvd import chain as bedrock_jcvd_chain
add_routes(app, bedrock_jcvd_chain, path="/bedrock-jcvd")
(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. LangSmith is currently in private beta, you can sign up here. If you don't have access, you can skip this section
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
If you are inside this directory, then you can spin up a LangServe instance directly by:
This will start the FastAPI app with a server is running locally at http://localhost:8000
We can see all templates at http://127.0.0.1:8000/docs.
We can also access the playground at http://127.0.0.1:8000/bedrock-jcvd/playground