u/kllleoooo

I've been manually searching for suppliers, which has taken much longer than I expected, spending hours switching between Alibaba, Google, import records, LinkedIn, and various supplier websites.

Recently, I needed to find a small-batch UV printing factory. I've also tested some tools specifically for e-commerce sourcing, like accio sourcing toolkit, and so far it's been working incredibly well. Instead of me spending hours cross-referencing tabs, it automatically runs the background checks on the suppliers and filters down hundreds of options based on MOQ, response speed, and reply rate in less than a minute. I'd like to hear your feedback on supplier sourcing and your real-world experiences with this topic.

I think

running into an issue with testmu's tool-call validation on langgraph parallel branches.

setup: langgraph 0.2.x, claude sonnet 4.5, agent with 6 tools. when the planner determines a query needs info from multiple sources, it fires parallel tool calls via langgraph's Send mechanism. correct behavior, faster, less token spend.

testmu's tool-call trajectory evaluator scores this as wrong. the default rubric expects "tools called in order of dependency" but parallel calls have no linear order. the evaluator interprets parallelism as bad sequencing and flags it.

tried:

* expected_trajectory metadata with all parallel tools listed (still flagged)

* custom rubric override on trajectory scorer (works but loses the rest of tool-call validation)

* searched docs for parallel_tool_calls config (none exists)

anyone solved this on langgraph specifically? or do you bypass testmu trajectory eval for parallel cases and run custom validation?

I know the most frugal thing to do on Prime Day is to not buy anything at all. I get it, and most of the time I agree. but my partner and I do use it to buy stuff we've already been planning to get anyway.

Over the years though, I've ended up with so much 'consumer slop' from sales like this. drawers full of random gadgets I used maybe twice. So I made a set of lists to filter my cart this year. basically a 'never again' list vs a 'boring but actually useful' list.

The 'Never Again' List (aka Future Clutter):

1. Another cheap charging brick or cable.
I already have a dozen. the 30% discount isn't worth it if it’s just going to sit in my cable-spaghetti drawer.

2. Hyper-specific kitchen tools.
The avocado slicer, the special pan for one type of egg... a decent knife does 99% of these jobs anyway. Just more stuff to wash and store.

3. Impulse tech under $30.
This is my absolute biggest weakness. tiny USB desk fans, LED light strips, random white noise machines. They seem cool for a day and then you realize they are just cheap plastic.

4. Cute organizers.
I've learned that buying more boxes to hold my junk doesn't actually solve the problem of having too much junk.

The 'Boring But Useful' List (Things I'll actually consider):

1. Good quality socks.
Not exciting, but I wear them literally every single day. The cost-per-wear on good wool socks is tiny, and its a massive daily comfort upgrade.

2. A BIFL travel adapter.
My last cheap one literally sparked in a hotel in Germany. Done with that. ready to spend a bit more on something that will actually last.

3. Stuff that reduces physical wear and tear.
This is a huge deal for me now. I used to just 'tough it out' when my neck or back got stiff from sitting at a desk all day. But doing the math on that made me realize that not spending a little on prevention now just means paying a lot more for physical therapy later. For me this is a good seat cushion, proper lumbar support, or a small comfort gadget. i've been eyeing one of those foldable neck massagers (I think the brand was SKG?), mostly because I travel a lot and it packs completely flat.

My main rule now is just calculating 'cost per use'. That $25 gadget I use twice costs $12.50 per use. But a $150 comfort item I use 4 times a week for two years ends up costing basically pennies per use.

Anyway, trying to stay strong and not buy any stupid shiz this week . Hopefully the clutter drawer stays closed

title basically. we use langsmith for the trace side and it's great for that. but we keep shipping prompt changes that pass our langsmith evals and break in prod in subtle ways. the langsmith dataset eval feels too "static dataset" for what's actually happening to us.

what are folks pairing with langsmith (or replacing it with) for the actual catching-regressions side. specifically looking at multi-turn agent stuff, not just single-prompt eval.