Honestly, stay away from the heavy frameworks if you need stability for a logistics stack. I have seen way too many projects crumble because they relied on abstraction layers that change their API every other week. If you are dealing with a messy database, I would suggest building your own controller logic using something lightweight like LangGraph Python Library where you actually control the state graph yourself. It lets you define discrete nodes for your skills so you can swap them out without nuking the entire loop. Just be careful about coupling your database queries too tightly to the LLM. Make sure to implement a validation layer between the agent output and your DB commands. It might feel like more work upfront, but you will thank yourself when debugging becomes a nightmare six months from now.

> building your own logic from scratch Honestly, I totally get the hesitation. If you want something stable but hate the bloat, look into Haystack Haystack 2.0. It uses a pipeline approach that makes swapping components way easier than the others. Just be careful with your data mapping. Since your db is messy, try wrapping your queries in a simple interface so the agent doesnt get confused. It feels much safer than those other chaotic frameworks.

@Reply #2 - good point! I totally agree about the pipeline approach. Honestly, I stopped chasing the shiny new frameworks months ago. My current setup is just basic Python scripts paired with a solid vector store and I am honestly so happy with how simple it is to debug. When your database is as messy as ours, adding layers of abstraction just feels like asking for trouble. Keep it light.