Zamil Majdy e688cc31f0 feat(rnd): Implement agent block execution logic for AutoGPT Server (#7194) ...

### Background

This PR implements the main logic of the block execution engine for AutoGPT-Server.
An integration test is added to test the behavior.

*What you can do now with this PR*:
You can manually create a graph, by using the existing blocks as nodes (or write your own). Then execute the graph with an input.

*What you can't do yet*:
Listen to the graph execution result/update (you can follow the `AgentNodeExecution` table result, though).

### Changes 🏗️
* Split `data.py` (model file) into three modules:
    * `execution`: a model for node execution.
    * `graph`: a model for graph structure.
    * `block`: a model for agent block/component.
* Implemented executor main logic
* Simplify db structure:
    * Remove `AgentBlockInputOutput` in favor of `inputSchema` & `outputSchema` using serialized json/dict structure.
    * Remove `id` on `AgentBlock` in favor of using name (class name of the block) as its identifier.
    * Added `constantInput` column for `AgentNode` for hard-coded input/block configuration. Hence, removing`executionStateData` on `AgentNodeExecution`.
    * Rename AgentNodeLink input/output to source/sink to avoid confusion
* Change multithreading to multiprocessing, to allow the use of multiple `prisma` asynchronous client.

2024-06-10 19:30:34 +07:00

..

autogpt_server

feat(rnd): Implement agent block execution logic for AutoGPT Server (#7194)

2024-06-10 19:30:34 +07:00