openai usage llms models

Former-commit-id: d89c940bd3

README.md

@@ -46,7 +46,7 @@ We have a small gallery of examples to run here, [for more check out the docs to
 ```python
 from swarms.workers import Worker
 from swarms.swarms import MultiAgentDebate, select_speaker
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 
 llm = OpenAIChat(
     model_name='gpt-4', 
@@ -107,7 +107,7 @@ for result in results:
 - And, then place the openai api key in the Worker for the openai embedding model
 
 ```python
-from langchain.llms import ChatOpenAI
+from swarms.models import ChatOpenAI
 from swarms.workers import Worker
 
 llm = ChatOpenAI(
@@ -139,7 +139,7 @@ print(response)
 - OmniModal Agent is an LLM that access to 10+ multi-modal encoders and diffusers! It can generate images, videos, speech, music and so much more, get started with:
 
 ```python
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 from swarms.agents import OmniModalAgent
 
 

apps/discord.py

@@ -1,5 +1,5 @@
 from discord.ext import commands
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 from swarms.agents import OmniModalAgent
 
 # Setup

apps/omni_ui.py

@@ -4,7 +4,7 @@ import threading
 import os
 import glob
 import base64
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 from swarms.agents import OmniModalAgent
 
 

example.py

@@ -1,15 +1,15 @@
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 from swarms import Worker
 
 llm = OpenAIChat(
-    openai_api_key="",
+    openai_api_key="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",
     temperature=0.5,
 )
 
 node = Worker(
     llm=llm,
     ai_name="Optimus Prime",
-    openai_api_key="",
+    openai_api_key="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",
     ai_role="Worker in a swarm",
     external_tools=None,
     human_in_the_loop=False,

playground/agents/meta_prompter.py

@@ -1,6 +1,6 @@
 from swarms.workers import Worker
 from swarms.agents.meta_prompter import MetaPrompterAgent
-from langchain.llms import OpenAI
+from swarms.models import OpenAI
 
 # init llm
 llm = OpenAI()

playground/agents/omnimodal_agent_example.py

@@ -1,4 +1,4 @@
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 from swarms.agents import OmniModalAgent
 
 

playground/structs/workflow.py

@@ -1,5 +1,5 @@
 from swarms.structs.workflow import Workflow, StringTask
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 
 
 llm = OpenAIChat()

playground/swarms/dialogue_simulator.py

@@ -1,6 +1,6 @@
 from swarms.swarms import DialogueSimulator
 from swarms.workers.worker import Worker
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 
 llm = OpenAIChat(model_name="gpt-4", openai_api_key="api-key", temperature=0.5)
 

playground/swarms/groupchat.py

@@ -1,4 +1,4 @@
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 from swarms.swarms import GroupChat, GroupChatManager
 from swarms.workers import Worker
 

playground/swarms/multi_agent_debate.py

@@ -1,6 +1,6 @@
 from swarms.swarms.multi_agent_debate import MultiAgentDebate, select_speaker
 from swarms.workers.worker import Worker
-from langchain.llms import OpenAIChat
+from swarms.models import OpenAIChat
 
 llm = OpenAIChat()
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "1.7.9"
+version = "1.8.0"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]