100% Local OpenAI Swarm Agents with Ollama in 7 mins!

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🔬 Running OpenAI Swarm Locally with Llama 3.2: AI Agents for Automated Research
Discover how to harness the power of OpenAI Swarm, a popular AI agent framework, running 100% locally and privately on your computer using Llama 3.2. In this video, we'll create AI agents to automate internet research tasks, saving you time and boosting productivity.

🔑 Key Points:
Introduction to OpenAI Swarm and AI agents
Setting up the environment locally
Creating AI agents for news search and editing
Implementing a workflow to automate research tasks
Using Ollama and LM Studio for local execution

🛠️ What You'll Learn:
Installing necessary packages
Downloading and setting up Llama 3.2 model
Creating an internet search tool with DuckDuckGo
Developing AI agents for news search and editing
Building a workflow to combine agent tasks
Running the system locally with Ollama and LM Studio

🔗 Useful Links:

👨‍💻 Code Overview:
Setting up the environment
Creating the internet search tool
Developing AI agents (News Agent and Editor Agent)
Implementing the workflow
Running the system locally

🎓 Why This Matters:
Learn how to create powerful AI agents that can automate complex tasks, such as internet research, while maintaining privacy and control over your data. This approach allows for direct interaction with OpenAI's SDK, providing better monitoring and error handling capabilities.

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🔗 Links:

Timestamp:
0:00 - Introduction to OpenAI Swarm
0:28 - Running Swarm locally with Llama 3.2
0:49 - AI agent for internet research example
1:09 - Tutorial setup and installation
3:12 - Creating AI agents
4:14 - Creating the workflow
5:06 - Running the code and results
5:36 - Advantages of using Swarm
5:57 - Integrating with LM Studio
6:45 - Recommendation for basic Swarm tutorial
💬 Leave a comment with your thoughts or questions about AI agents and automated research. What other AI applications would you like to see covered?
#AIAgents #OpenAISwarm #Llama3 #AutomatedResearch #ArtificialIntelligence #MachineLearning
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i ran the script as it is with export also but getting model error gpt 4o .... its during duckduckgo

InsightCrypto
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Can’t langchain do the same with better tooling and integration?

DeepMimd
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I was gone for a while, what did I lose? 😉👍👍 will look at this Swarm Agents

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Great content as usual, a question, I think you missed to pass to the research agent, amI right?

unclecode
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I am using a virtual environment using conda and in vs code the ollama command is recognized and I can run the model from this environment in vs code but I get the error that gpt-4o not found error. Why? I set up the environment variable already and verified it.

"openai.NotFoundError: Error code: 404 - {'error': {'message': 'The model `gpt-4o` does not exist or you do not have access to it.', 'type': 'invalid_request_error', 'param': None, 'code': 'model_not_found'}}"

anjumulazim
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Can you make a guide for a non-coder guide, From basic to advance ai agents, in which modules could be

What are the tools needs,
How to setups those tools.
And how to create the agents.

aadeshabhang
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Can we add an agents in which it'll be used when no function requirement for query?

Idiot
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the model name needed to be 'llama3.2' for me before it would work

RetroGameHound