A Flask based web server for speedy development of end points to serve Verloop recipe. To know about the formats of request and response see this
In the Verloop recipe builder, add a webhook block with name name_of_block on the recipe and set https://<YOU_SERVER_URL>/my_bot as the webhook URL.
Add a file my_bot.py in the bots folder with the endpoint you want with a Bot class. The class name must be Bot. A method name_of_block should be present in the Bot class.
Checkout an example at bot/rechargebot.py
This example is to be used with the Verloop recipe template Recharge Bot (Using Webhooks)
Note: Assuming basic bots structure is like this: https://github.com/verloop/bots. Run command at the root of your directory after you clone the bots repo.
a. python3 skeleton.py -c credence -rt llm
❯ python3 skeleton.py --help
usage: skeleton.py [-h] -c CLIENT_ID [-rt RECIPE_TYPE] [-cf CURL_FILE]
Scaffolding a bots structure.
require arguments:
-c CLIENT_ID, --client_id CLIENT_ID
The client id for which you would be generating files.
optional arguments:
-h, --help show this help message and exit
-rt RECIPE_TYPE, --recipe_type RECIPE_TYPE
The recipe type for your client:
base: for base recipe type.
llm: for llm recipe type.
api: for generating api methods in service files (curl request required)
Default base recipe will be generated if no argument is specified.
No recipe will be generated on an invalid arguemnt.
-cf CURL_FILE, --curl_file CURL_FILE
path to file with curl requests (separated by blank lines)
b. Generates relevant files and some boiler plate code.
c. We can choose to generate boilerplate code depending on the base recipe type like LeadGenerator, SupportBot, etc as available on the recipes dashboard but tbh those recipes contain static blocks and webhook blocks/functions can vary depending on the usecase(Suggestions welcomed on how to handle this.)