mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
85 lines
2.5 KiB
Markdown
85 lines
2.5 KiB
Markdown
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# vertexai-chuck-norris
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This template makes jokes about Chuck Norris using 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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LangSmith is currently in private beta, you can sign up [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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