Workflows
The workflow automation system within AgentGPT.
A core function of Reworkd is AI powered workflow automation. This documentation covers key concepts within our workflow platform.
Frontend models
The workflow hierarchy follows a graph-like structure. The frontend models only prescribe the front-end view of the workflow.
- A workflow is the graph itself. It represents the workflow in its entirety
- A node is a single element within a workflow. It has a position
- An edge represents a connection between two nodes of a workflow
Backend models
The backend models represent the mechanisms to actually perform work for a given node.
Each frontend Node
will have an associated Block
.
Node
represents the frontend view / position while the Block
represents what will actually happen when that Node
is run.
For example, a “SlackMessageBlock” is a Block
that, when executed, would send a user a message on “Slack”.
Adding a new block
To add a new block, start by updating the frontend:
- open next/src/services/workflow/node-block-definitions.ts
- figure it out
- (soon block definitions on frontend will be set from backend and edits won’t be needed here)
Then update the backend:
- open platform/reworkd_platform/schemas/workflow/blocks
- add a new file for your block
- define the block’s input and output types as classes
- add a class for the block with
- attributes: type, description, image_url, and input
- async method:
run
- install dependencies for your block with
poetry add
- open platform/reworkd_platform/web/api/workflow/blocks/web/init.py
- import your block
- add an if branch to get_block_runner
docker compose down; docker compose up --build
Node types
- Triggers: Designate how workflows are run
- Actions: Performs a concrete piece of “work”