Former-commit-id: 30fa7e1e87
pull/47/head
Kye 1 year ago
parent a88c97623c
commit 98ef99c303

@ -23,7 +23,6 @@ controlnet-aux
diffusers==0.14.0
einops
gradio
imageio
imageio-ffmpeg
@ -112,6 +111,4 @@ fastapi-limiter
sphinx_rtd_theme
pegasusx
oceandb

@ -24,7 +24,7 @@ In terms of architecture, the swarm might look something like this:
```
(Orchestrator)
/ \
Tools + Vector DB -- (LLM Agent)---(Communication Layer) (Communication Layer)---(LLM Agent)-- Tools + Vector DB
( Agent)---(Communication Layer) (Communication Layer)---(Agent)
/ | | \
(Task Assignment) (Task Completion) (Task Assignment) (Task Completion)
```
@ -46,7 +46,9 @@ Orchestrate(WorkerNode, autoscale=True, nodes=int, swarm_type="flat")
from abc import ABC, abstractmethod
import celery
from typing import List, Dict, Any
import numpy as np
import threading
from swarms.agents.memory.ocean import OceanDB
@ -63,7 +65,7 @@ class Orchestrator(ABC):
self.task_queue = task_queue
self.vector_db = vector_db
self.current_tasks = {}
self.lock = Lock()
self.lock = threading.Lock()
@abstractmethod
def assign_task(self, agent_id: int, task: Dict[str, Any]) -> None:

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