Building on the earlier suggestion, I actually have to disagree about adding more reflection steps. In my experience, those usually just give the agent more chances to hallucinate progress while still burning your credits. Its super frustrating seeing the hype around fully autonomous loops not live up to real-world tasks. Unfortunately, pure autonomy is usually what kills these projects. For a Friday deadline, you gotta get more rigid.

• Use structured tool-calling. If youre not using OpenAI GPT-4o API with strict JSON mode, youre basically asking for loops.
• Move away from AutoGPT for production. It is just not as good as expected for reliability. Try using Anthropic Claude 3.5 Sonnet API as your controller. It handles tool constraints way better than most models in my tests. It is rough when the tools fail you right before a deadline, but you can definitely fix this. Reach out if you get stuck with the logic tho.

Building on the earlier suggestion, I totally get the frustration with those infinite loops! I once spent $200 in a single night on a real estate scraper that just kept refreshing the same page... it was painful but such a lesson. Honestly, the absolute most essential skill right now is mastering structured output and state management. If your agent doesnt know exactly what finished looks like in a machine-readable format, its just gonna wander forever. I started using OpenAI GPT-4o API with strict JSON mode and it was a total game changer for my workflow! Here is what finally saved my real estate setup:

• Forcing the model to output a specific JSON schema so it cant hallucinate new tasks
• Using LangChain LangSmith Platform to see exactly where the logic breaks in real-time
• Swapping to the Groq LPU Inference Engine for quick reasoning checks to save big on credits It is amazing how much smoother things go when you give the agent a strict checklist. Youll nail that Friday deadline! Its super stressful now but once you nail the state handling, you are gonna love it.

Huh interesting. I had no idea. The more you know I guess 🤷

To add to the point above: I totally agree that locking down the flow is the way to go. Ive been using LangGraph by LangChain for my latest projects and honestly, I am so satisfied with it compared to the old way of just letting an agent run wild. It lets you build a state machine so the agent literally cannot loop forever because you define the paths it can take. It makes debugging way less stressful, especially with a deadline looming. Since you are worried about burning credits before Friday, maybe try testing your logic with Mistral Large 2 via their API. Its generally cheaper for testing complex reasoning than some of the other flagship models and handles structured output really well. Tbh, once I switched to a graph-based approach instead of a pure autonomous loop, my credit usage dropped by like 60 percent. Just stick with it, you are definitely on the right track by moving away from open-ended autonomy!

Looping is a total credit killer. Honestly, you might want to consider adding hard-stop logic to your flows. I would suggest testing with OpenAI GPT-4o Mini API to save money while debugging the logic.

• Set a strict max iteration limit (like 5 or 10)
• Add a reflection step to evaluate progress Be careful with open-ended goals... they usually spiral. Good luck with the Friday deadline!

Jumping in here... honestly, been there. My first attempt at a real estate bot with a certain flashy autonomous framework was a total disaster. It kept looping through the same three houses because it couldnt figure out if the data was fresh enough. I am way more satisfied with my current setup now because it is way more locked down. I have found that the best agents arent actually the ones that think for themselves, but the ones that follow a strict script. Safety first, right? Quick question tho—is it looping on the search phase or when it tries to write the final summary? Knowing that makes a huge difference if you wanna hit that Friday deadline. TL;DR: Reliability beats autonomy. If its too smart, itll just find more ways to fail. Ditch the open loops for a rigid workflow.