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https://github.com/hwchase17/langchain
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163ef35dd1
Updated titles into a consistent format. Fixed links to the diagrams. Fixed typos. Note: The Templates menu in the navbar is now sorted by the file names. I'll try sorting the navbar menus by the page titles, not the page file names.
84 lines
2.5 KiB
Markdown
84 lines
2.5 KiB
Markdown
# Vertex AI - Chuck Norris
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This template makes jokes about Chuck Norris using `Google Cloud Vertex AI PaLM2`.
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## Environment Setup
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First, make sure you have a Google Cloud project with
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an active billing account, and have the [gcloud CLI installed](https://cloud.google.com/sdk/docs/install).
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Configure [application default credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc):
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```shell
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gcloud auth application-default login
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```
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To set a default Google Cloud project to use, run this command and set [the project ID](https://support.google.com/googleapi/answer/7014113?hl=en) of the project you want to use:
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```shell
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gcloud config set project [PROJECT-ID]
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```
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Enable the [Vertex AI API](https://console.cloud.google.com/apis/library/aiplatform.googleapis.com) for the project:
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```shell
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gcloud services enable aiplatform.googleapis.com
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```
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## Usage
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To use this package, you should first have the LangChain CLI installed:
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```shell
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pip install -U langchain-cli
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```
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To create a new LangChain project and install this as the only package, you can do:
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```shell
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langchain app new my-app --package pirate-speak
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```
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If you want to add this to an existing project, you can just run:
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```shell
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langchain app add vertexai-chuck-norris
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```
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And add the following code to your `server.py` file:
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```python
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from vertexai_chuck_norris.chain import chain as vertexai_chuck_norris_chain
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add_routes(app, vertexai_chuck_norris_chain, path="/vertexai-chuck-norris")
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```
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(Optional) Let's now configure LangSmith.
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LangSmith will help us trace, monitor and debug LangChain applications.
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You can sign up for LangSmith [here](https://smith.langchain.com/).
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If you don't have access, you can skip this section
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```shell
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export LANGCHAIN_TRACING_V2=true
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export LANGCHAIN_API_KEY=<your-api-key>
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export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
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```
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If you are inside this directory, then you can spin up a LangServe instance directly by:
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```shell
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langchain serve
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```
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This will start the FastAPI app with a server is running locally at
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[http://localhost:8000](http://localhost:8000)
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We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
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We can access the playground at [http://127.0.0.1:8000/vertexai-chuck-norris/playground](http://127.0.0.1:8000/vertexai-chuck-norris/playground)
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We can access the template from code with:
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```python
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from langserve.client import RemoteRunnable
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runnable = RemoteRunnable("http://localhost:8000/vertexai-chuck-norris")
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```
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