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LangGraph + CoAgents: Create Applications With A Human-In-The-Loop AI System! (Opensource): https://youtu.be/TDw2oTGKLU8

Agent-Zero UPDATE: Autonomous AI Agent Framework Can DO ANYTHING! (Generate Full-Stack Apps): https://youtu.be/sYhATXbuMrk

please help. i want to use lm studio with ollamma. cant figure out how to make it work

So you need to have top tier open ai subscription or perplexity subscription to run it:Ddd how's it free 😂😂😂

i want to use this without API keys.

For example i want to use ollama so i uncommented it.

However, this errors out. Can you tell me what Ineed to change to utilize these other options without API keys.

Thanks

def initialize():

# main chat model used by agents (smarter, more accurate)

# chat_llm = models.get_openai_chat(model_name="gpt-4o-mini", temperature=0)

chat_llm = models.get_ollama_chat(model_name="gemma2:latest", temperature=0)

# chat_llm = models.get_lmstudio_chat(model_name="TheBloke/Mistral-7B-Instruct-v0.2-GGUF", temperature=0)

# chat_llm = models.get_openrouter(model_name="meta-llama/llama-3-8b-instruct:free")

# chat_llm = models.get_azure_openai_chat(deployment_name="gpt-4o-mini", temperature=0)

# chat_llm = models.get_anthropic_chat(model_name="claude-3-5-sonnet-20240620", temperature=0)

# chat_llm = models.get_google_chat(model_name="gemini-1.5-flash", temperature=0)

# chat_llm = models.get_groq_chat(model_name="llama-3.1-70b-versatile", temperature=0)

# utility model used for helper functions (cheaper, faster)

utility_llm = chat_llm # change if you want to use a different utility model

# embedding model used for memory

# embedding_llm = models.get_openai_embedding(model_name="text-embedding-3-small")

embedding_llm = models.get_ollama_embedding(model_name="nomic-embed-text")

# embedding_llm = models.get_huggingface_embedding(model_name="sentence-transformers/all-MiniLM-L6-v2")

Why can't it install itself?

chat_llm = models.get_openai_chat(model_name="gpt-4o-mini", temperature=0)

File "/root/frdel-agent-zero/agent-zero/models.py", line 51, in get_openai_chat

return ChatOpenAI(model_name=model_name, temperature=temperature, api_key=api_key) # type: ignore

File "/usr/local/lib/python3.10/dist-packages/langchain_core/load/serializable.py", line 113, in _init_

super().__init__(*args, **kwargs)

File "/usr/local/lib/python3.10/dist-packages/pydantic/v1/main.py", line 341, in _init_

raise validation_error

pydantic.v1.error_wrappers.ValidationError: 1 validation error for ChatOpenAI

_root_

Did not find openai_api_key, please add an environment variable `OPENAI_API_KEY` which contains it, or pass `openai_api_key` as a named parameter. (type=value_error)
how do i get it to use perplexity

Instead of docker it could use Deno subhosting

This video was nice and all, but you skimmed over some rather useful stuff I think a good number of people are going to want to know or get lost on.

For starters, you don't show how you use this at all in visual studio, which you even comment is more appealing, but you don't show this at all. I'm going to hazard a guess that the a large portion of the people who will be interested in Agent Zero, and projects like it, are NOT coders or programmers at all and have never even installed VS code. I myself had VS Code installed, for something in the past, but have never really used it. And am only lightly familiar when it comes to command prompting.

You also don't explain why docker needs to be running in the background or what purpose docker is serving in this process.

Also, would have been nice to show how to get this working with a local option like Ollama; considering none of the documentation actually says how to do this other then it is possible. Luckily this wasn't to hard to figure out, you just change some #'s in the main.py file. But covering it would have been nice, just showing that the option was there would have been enough for most people.

Finally, it might have been worth mentioning to people how to "start' this again. i can see why people question "how to install" this because its not really 'installed' like any applications they are used to. Its more like a bunch of loose files that you access rather then a exe you click and run. Giving people some short instruction how to run this again later, since you won't need to run through all the steps, might be worthwhile.

And as a final side note, Im sure it was due to a setting in the anaconda installer or something. But I get an error trying to run 'conda' commands in the regular cmd console. I have to specifically run the 'anaconda prompt' to go through this process. So that's another little thing I expect will catch people out on this process too other then me.

Taipy: Create Production Ready Apps Within Minutes! (Opensource) – https://youtu.be/wZ23HP_UN34

Dude I’m legit so behind I have tried to use this and can’t seem to figure it out

another demo for openinterpreter please

🎯 Key points for quick navigation:

00:00:05 🤖 Introduction to Agent Zero
– Introduction of Agent Zero AI framework and its capabilities,
– Mention of a demo by the creator,
– Description of Agent Zero as dynamic and open-source.
00:02:18 ⚙️ Demonstration of Agent Zero's Functionalities
– Demonstration of code execution to get time in different cities,
– Installation of necessary libraries by Agent Zero,
– Execution of code for tasks like downloading YouTube videos.
04:03 🛠️ Overview of Agent Zero's Features and Installation Preparation
– Announcement of a new service, introduction to installing Agent Zero locally,
– Explanation of Agent Zero's flexibility and dynamic adaptation,
– Five key concepts of Agent Zero: general-purpose assistant, computer as a tool, multi-agent cooperation, customizability, and communication.
06:51 🖥️ Installation Guide for Agent Zero
– Detailed installation steps including necessary prerequisites,
– Instructions to set up a virtual environment, clone the repository, and configure API keys,
– Mention of tools: conda, python, git, VS Code, Docker, OpenAI API, and Perplexity API.
10:19 🐍 Demonstration: Creating a Snake Game
– Hands-on demonstration to create a basic snake game using Agent Zero,
– Execution of code generation and logging by Agent Zero,
– Successful creation and testing of the snake game.
12:11 📈 Framework's Versatility and Conclusion
– Discussion about Agent Zero's potential and dynamic improvement,
– Plans for additional content showcasing more features,
– Encouragement to explore the project and follow updates through various platforms.

Made with HARPA AI

Has anyone else noticed that our 9-5 work flow has became way harder with AI than with out it? Sometimes I feel like I'm dragging around a 3rd grader to do my job. and i love this stuff.

would it'll work if we add unify ai instead of all the models(gpt,groq) ?

How do I use a Python interpreter in Docker with VSCode? I tried to set it up, everything works, except I can't get VSCode to use or connect the Docker container as interpreter. Even with the help of AI I couldn't get it to work :'(