480626dc99
…tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ``` |
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| .. | ||
| tests | ||
| vertexai_chuck_norris | ||
| LICENSE | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
vertexai-chuck-norris
This template makes jokes about Chuck Norris using Vertex AI PaLM2.
Environment Setup
First, make sure you have a Google Cloud project with an active billing account, and have the gcloud CLI installed.
Configure application default credentials:
gcloud auth application-default login
To set a default Google Cloud project to use, run this command and set the project ID of the project you want to use:
gcloud config set project [PROJECT-ID]
Enable the Vertex AI API for the project:
gcloud services enable aiplatform.googleapis.com
Usage
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 pirate-speak
If you want to add this to an existing project, you can just run:
langchain app add vertexai-chuck-norris
And add the following code to your server.py file:
from vertexai_chuck_norris.chain import chain as vertexai_chuck_norris_chain
add_routes(app, vertexai_chuck_norris_chain, path="/vertexai-chuck-norris")
(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_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:
langchain serve
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 access the playground at http://127.0.0.1:8000/vertexai-chuck-norris/playground
We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/vertexai-chuck-norris")