langchain/libs/cli/langchain_cli/package_template
Erick Friis c77d2f2b06
multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646)
0.2 is not a breaking release for core (but it is for langchain and
community)

To keep the core+langchain+community packages in sync at 0.2, we will
relax deps throughout the ecosystem to tolerate `langchain-core` 0.2
2024-05-13 19:50:36 -07:00
..
package_template docs: langchain-openai (#15513) 2024-01-06 15:54:48 -08:00
tests fix some stuff (#12292) 2023-10-26 13:30:36 -07:00
.gitignore cli template gitignores (#12914) 2023-11-05 22:34:45 -08:00
LICENSE cli[patch]: copyright 2024 default (#17204) 2024-02-07 14:52:37 -08:00
pyproject.toml multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646) 2024-05-13 19:50:36 -07:00
README.md templates: readme langsmith not private beta (#20173) 2024-04-12 13:08:10 -07:00

package_name

TODO: What does this package do

Environment Setup

TODO: What environment variables need to be set (if any)

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 __package_name__

If you want to add this to an existing project, you can just run:

langchain app add __package_name__

And add the following code to your server.py file:

__app_route_code__

(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. You can sign up for LangSmith 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/package_name/playground

We can access the template from code with:

from langserve.client import RemoteRunnable

runnable = RemoteRunnable("http://localhost:8000/__package_name__")