[CLEANUP]

playground/agents/meta_prompter.py

@@ -1,24 +0,0 @@
-from swarms.workers import Worker
-from swarms.agents.meta_prompter import MetaPrompterAgent
-from swarms.models import OpenAI
-
-# init llm
-llm = OpenAI()
-
-# init the meta prompter agent that optimized prompts
-meta_optimizer = MetaPrompterAgent(llm=llm)
-
-# init the worker agent
-worker = Worker(llm)
-
-# broad task to complete
-task = "Create a feedforward in pytorch"
-
-# optimize the prompt
-optimized_prompt = meta_optimizer.run(task)
-
-# run the optimized prompt with detailed instructions
-result = worker.run(optimized_prompt)
-
-# print
-print(result)

playground/agents/omni_exa_example.py

@@ -1,9 +0,0 @@
-# pip3 install exxa
-from exa import Inference
-from swarms.agents import OmniModalAgent
-
-llm = Inference(model_id="mistralai/Mistral-7B-v0.1", quantize=True)
-
-agent = OmniModalAgent(llm)
-
-agent.run("Create a video of a swarm of fish")

playground/agents/omnimodal_agent_example.py

@@ -1,9 +0,0 @@
-from swarms.models import OpenAIChat
-from swarms.agents import OmniModalAgent
-
-
-llm = OpenAIChat(model_name="gpt-4")
-
-agent = OmniModalAgent(llm)
-
-agent.run("Create a video of a swarm of fish")

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "3.5.2"
+version = "3.5.5"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]