And thank you for being here. If you have a minute to spare, say Hi and feel free to introduce yourself. Maybe share a picture of what you've acomplished with A0?

Hi everyone! Currently I am looking for a someone who can collaborate with me for the long term. This is long term friendship. I would love to connect with you, whatsapp: +81 80 1455 6262 If you are interested in, please give me Dm or message on whatsapp

Just thought I would share how I compare open source LLMs to the big proprietary models. I prefer using local LLMs for Agent Zero - for privacy, speed, and unlimited use. However, there are some pros and cons - and choosing the best model for Agent0 can be challenging when there are so many models to choose from and new ones being released practically every week. This is where https://artificialanalysis.ai/ comes in very handy. I use this site to compare the intelligence and speed of models against each other. It also has a special page for coding performance. Hope you all find this useful.

This setup has been working great for me. The chat and web browser models are both using the Ollama cloud. This is about as good as it gets, I think, without paying the Frontier model pricing. Chat: qwen3.5:cloud Web Browser Model: qwen3-vl:32b-cloud Embedding: sentence-transformers/all-MiniLM-L6-v2

I'm getting this error often when my agents try to call tools, skills or other things: ValueError: Tool request must have a tool_args (type dictionary) field Traceback (most recent call last): Traceback (most recent call last): File "/a0/helpers/extension.py", line 176, in _run_async data["result"] = await data["result"] ^^^^^^^^^^^^^^^^^^^^ File "/a0/agent.py", line 572, in handle_exception raise exception # exception handling is done by extensions ^^^^^^^^^^^^^^^ File "/a0/agent.py", line 485, in monologue tools_result = await self.process_tools(agent_response) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/a0/helpers/extension.py", line 183, in _run_async result = _process_result(data) ^^^^^^^^^^^^^^^^^^^^^ File "/a0/helpers/extension.py", line 143, in _process_result raise exc File "/a0/helpers/extension.py", line 176, in _run_async data["result"] = await data["result"] ^^^^^^^^^^^^^^^^^^^^ File "/a0/agent.py", line 854, in process_tools await self.validate_tool_request(tool_request) File "/a0/helpers/extension.py", line 183, in _run_async result = _process_result(data) ^^^^^^^^^^^^^^^^^^^^^ File "/a0/helpers/extension.py", line 143, in _process_result raise exc File "/a0/helpers/extension.py", line 176, in _run_async data["result"] = await data["result"] ^^^^^^^^^^^^^^^^^^^^ File "/a0/agent.py", line 958, in validate_tool_request if not isinstance(tool_name, str) or not tool_name.strip(): ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ I've had the agent try to troubleshoot and try to fix multiple times, I've even deleted the whole container and started from scratch. Anyone else having this issue? It ruins my workflow as it stops the agent in their tracks when they are working a task.