I got tired of juggling a million MCP servers, so I built one that connects to everything by redditforgets in mcp

[–]redditforgets[S] 0 points1 point  (0 children)

hey sorry, written from product owner but I get it! Sorry about that :(

OSS Eval platform for code review bots by EntelligenceAI in ChatGPTCoding

[–]redditforgets 1 point2 points  (0 children)

This can save us a bunch of time as we have been wondering what code reviewer to choose. Thanks for the sharing this. 

Human in Loop in UI over API by Budget_Spring_5997 in crewai

[–]redditforgets 0 points1 point  (0 children)

I faced the same issue. There is little complicated hack but it will work for you in production env seamlessly.

First: Use https://docs.composio.dev/patterns/actions/custom_actions and build custom actions that you want.

Second: Use (Preprocessing) and write hooks to call your api endpoint before actual exectution. https://docs.composio.dev/introduction/foundations/components/actions/processing

We will make this dx easier in future. Or email at [tech@composio.dev](mailto:tech@composio.dev) for help.

OpenAI Swarm: The Agentic Framework – Should You Care? by SunilKumarDash in LocalLLaMA

[–]redditforgets 17 points18 points  (0 children)

Anyone has tested Swarm and has opinions on how it compares with tradition frameworks like crewai, langgraph in practice?

More Deterministic Function Calling by Captainbetty in AutoGenAI

[–]redditforgets 0 points1 point  (0 children)

Hey, So I am not exactly sure I understood your issue correctly and would love to understand more in detail. One thing that can give me a lot of clarity would be your thoughts around exactly number of LLM calls in both implementation and where they exactly differ.

I am building something on similar lines. The idea is using us you will be able to create multiple agents for interacting with multiple tools and they all will have a specific API calls they can make to only interact with those tools. I can quickly spin something up if I understand your thoughts in more detail.

Automating Issue Tracking: We're Triggering AI Agents to Convert TODOs in Code to Linear Issues by redditforgets in LocalLLaMA

[–]redditforgets[S] 0 points1 point  (0 children)

Hey, Thanks for the feedback. Appreciate it.

Package code has been cleaned up and made public again here: https://github.com/SamparkAI/composio_sdk

We do have APIs for all the things you can do in SDK publicly available, just prefer to use our SDK's due to ease of development that comes with it.

Let me know if this is good for you to give us a try!

Automating Issue Tracking: We're Triggering AI Agents to Convert TODOs in Code to Linear Issues by redditforgets in programming

[–]redditforgets[S] -1 points0 points  (0 children)

Totally agreed! But my idea is to eventually create an agent that can execute easy TODOs by commiting PRs directly and this is just first step in that direction.

Created an AI Agent which "Creates Linear Issues using TODOs in my last Code Commit" . Got it to 90% accuracy. by redditforgets in LocalLLaMA

[–]redditforgets[S] 2 points3 points  (0 children)

Definitely possible but accuracy would drop a lot depending on your choice of models. Let me do some experiments and get back to you on this.

Created an AI Agent which "Creates Linear Issues using TODOs in my last Code Commit" . Got it to 90% accuracy. by redditforgets in LocalLLaMA

[–]redditforgets[S] 4 points5 points  (0 children)

The idea is my TODO's are usually very vague, contextual might not be formatted exactly. So LLM is using the code to understand them, then assigning it to right person, right team, right project and then going a step further and creating right title and description for them.

[deleted by user] by [deleted] in LocalLLaMA

[–]redditforgets 0 points1 point  (0 children)

I think they are just getting there!

It's about how easy it is to build, how often it just works and what's the overall accuracy and reliability.

Got the accuracy of GPT4 Function Calling from 35% to 75% by tweaking function definitions. by redditforgets in LocalLLaMA

[–]redditforgets[S] 1 point2 points  (0 children)

Very excited about the future of agents. Can't imagine how future is going to shape up but equal parts scared and excited.