langchain/templates/robocorp-action-server/README.md
Erick Friis ae67ba4dbb
templates: robocorp action server template (#15776)
---------

Co-authored-by: Rihards Gravis <rihards@gravis.lv>
Co-authored-by: Mikko Korpela <mikko@robocorp.com>
2024-01-09 12:41:20 -08:00

82 lines
2.1 KiB
Markdown

# Langchain - Robocorp Action Server
This template enables using [Robocorp Action Server](https://github.com/robocorp/robocorp) served actions as tools for an Agent.
## 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 robocorp-action-server
```
If you want to add this to an existing project, you can just run:
```shell
langchain app add robocorp-action-server
```
And add the following code to your `server.py` file:
```python
from robocorp_action_server import agent_executor as action_server_chain
add_routes(app, action_server_chain, path="/robocorp-action-server")
```
### Running the Action Server
To run the Action Server, you need to have the Robocorp Action Server installed
```bash
pip install -U robocorp-action-server
```
Then you can run the Action Server with:
```bash
action-server new
cd ./your-project-name
action-server start
```
### Configure LangSmith (Optional)
LangSmith will help us trace, monitor and debug LangChain applications.
LangSmith is currently in private beta, you can sign up [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"
```
### Start LangServe instance
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 access the playground at [http://127.0.0.1:8000/robocorp-action-server/playground](http://127.0.0.1:8000/robocorp-action-server/playground)
We can access the template from code with:
```python
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/robocorp-action-server")
```