Spaces:
Runtime error
Runtime error
File size: 3,574 Bytes
ed4d993 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
# Bedrock JCVD 🕺🥋
## Overview
LangChain template that uses [Anthropic's Claude on Amazon Bedrock](https://aws.amazon.com/bedrock/claude/) to behave like JCVD.
> I am the Fred Astaire of Chatbots! 🕺
'
## Environment Setup
### AWS Credentials
This template uses [Boto3](https://boto3.amazonaws.com/v1/documentation/api/latest/index.html), the AWS SDK for Python, to call [Amazon Bedrock](https://aws.amazon.com/bedrock/). You **must** configure both AWS credentials *and* an AWS Region in order to make requests.
> For information on how to do this, see [AWS Boto3 documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html) (Developer Guide > Credentials).
### Foundation Models
By default, this template uses [Anthropic's Claude v2](https://aws.amazon.com/about-aws/whats-new/2023/08/claude-2-foundation-model-anthropic-amazon-bedrock/) (`anthropic.claude-v2`).
> To request access to a specific model, check out the [Amazon Bedrock User Guide](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html) (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](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids-arns.html) (Use the API > API operations > Run inference > Base Model IDs).
> The full list of available models (including base and [custom models](https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models.html)) is available in the [Amazon Bedrock Console](https://docs.aws.amazon.com/bedrock/latest/userguide/using-console.html) under **Foundation Models** or by calling [`aws bedrock list-foundation-models`](https://docs.aws.amazon.com/cli/latest/reference/bedrock/list-foundation-models.html).
## Usage
To use this package, you should first have the LangChain CLI installed:
```shell
pip install -U langchain-cli
```
To create a new LangChain project and install this as the only package, you can do:
```shell
langchain app new my-app --package bedrock-jcvd
```
If you want to add this to an existing project, you can just run:
```shell
langchain app add bedrock-jcvd
```
And add the following code to your `server.py` file:
```python
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.
You can sign up for LangSmith [here](https://smith.langchain.com/).
If you don't have access, you can skip this section
```shell
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
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:
```shell
langchain serve
```
This will start the FastAPI app with a server is running locally at
[http://localhost:8000](http://localhost:8000)
We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs).
We can also access the playground at [http://127.0.0.1:8000/bedrock-jcvd/playground](http://127.0.0.1:8000/bedrock-jcvd/playground)
 |