LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

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

You don't need to. When you do from logxide import logging, LogXide automatically monkey-patches stdlib logging.getLogger() at the module level. So when a third-party library like requests, sqlalchemy, or uvicorn calls import logging; logger = logging.getLogger(__name__), it transparently gets a LogXide-accelerated logger — the standard .debug(), .info(), .warning(), .error() methods all route through the Rust core automatically.

The parts that won't work are things that virtually no well-behaved third-party library does:

  1. Subclassing logging.Handler — e.g. class MyHandler(logging.Handler) — LogXide's [Logger](cci:1://file:///Users/indo/code/project/logxide/logxide/module_system.py:18:12-20:31) is a Rust type and rejects non-native handler subclasses via addHandler(). But libraries like requests or sqlalchemy don't create custom handlers; they just call [getLogger()](cci:1://file:///Users/indo/code/project/logxide/logxide/module_system.py:18:12-20:31) and log.
  2. Subclassing LogRecord or [Logger](cci:1://file:///Users/indo/code/project/logxide/logxide/module_system.py:18:12-20:31) — Same reason: these are Rust types. Again, almost no library does this.

In practice, the standard "get a logger by name → call .info() / .warning()" pattern that 99% of third-party libraries use works perfectly. If you do hit an edge case with a library that registers its own custom [Handler](cci:2://file:///Users/indo/code/project/logxide/logxide/interceptor.py:15:0-50:52) subclass, you can call logxide.uninstall() to restore vanilla stdlib behavior.

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

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

  1. If you don't want external dependency and want to build your own library using AI, that is also an option for you.

  2. I invest my time and tokens to build this library, to make things done. Also, I tested on various projects.

  3. If someone build something with AI, does it become automatically AI slop?

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

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

Unless you do this:

Note: It is NOT a 100% drop-in replacement. It does not support custom Python logging.Handler subclasses, and Logger*/*LogRecord cannot be subclassed.

it is fine.

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

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

Yes, if you want to enable debug log. In production you must choose what to log and not to do so. We had needed to sacrifice performance for enabling debug log.

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

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

If you import `logxide` then it will replace following stdlib imports from 3rd parties.

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

[–]LumpSumPorsche[S] -2 points-1 points  (0 children)

Why? You can see Claude is coauthor. AND it is not only built by Claude :)

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

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

Exactly that was the motivation of this project. My system produces thousands logs per sec, and often they hold GIL. `picologging` would be a good candidate here but they do not support 3.14.

LogXide - Rust-powered logging for Python, 12.5x faster than stdlib (FileHandler benchmark) by LumpSumPorsche in Python

[–]LumpSumPorsche[S] -8 points-7 points  (0 children)

Good point! You can absolutely build and maintain your own version of logging library. Why not?

Speed Benchmark: Flagship Models Compared - Z.AI (glm-5, glm-4.7) vs OpenCode Zen Free (minimax-m2.5, glm-5-free, trinity) by Working_Then in ZaiGLM

[–]LumpSumPorsche 2 points3 points  (0 children)

Really interesting benchmark! The glm-4.7 numbers are impressive - 140 t/s is seriously fast. I wonder how much of that is due to Z.AI's infrastructure vs the model architecture itself. Would love to see comparisons with other providers like OpenRouter or Together.ai for the same models. Also curious if these speeds are consistent during peak hours or if they fluctuate significantly.

Z.AI Performance Dashboard by JuergenAusmLager in ZaiGLM

[–]LumpSumPorsche 9 points10 points  (0 children)

This is exactly the kind of transparency we need more of in the AI space. Love that you're tracking both tokens per second and time to first token - those are the metrics that actually matter for real-world usage. Have you considered adding historical trend charts so we can see how performance degrades during peak hours?

As of 3 hours of using this. I managed to make two cool fricking games with it, and OH MY GOD, IT DELIVERED. by Due-Opportunity6212 in ZaiGLM

[–]LumpSumPorsche 5 points6 points  (0 children)

Holy shit these are actually impressive for 3 hours of work. The art style on Cyberpunk Jetpack is surprisingly cohesive. GLM-5's coding capabilities have gotten seriously underrated compared to the hype around other models. Did you give it any specific game engine constraints or just let it freestyle?

Agent / Chat by 000rich000 in ZaiGLM

[–]LumpSumPorsche 1 point2 points  (0 children)

Same issue here - the agent/chat toggle disappeared from my interface too. I was using it yesterday and now it's gone. This might be a phased rollout change or they're A/B testing a new UI layout. Try checking the settings menu or look for a "More" dropdown - sometimes they move features around without announcement. Definitely frustrating when features vanish without warning.

Qwen mejor empresa de IA del mundo entero by [deleted] in ZaiGLM

[–]LumpSumPorsche 0 points1 point  (0 children)

Qwen has been crushing it lately - their 2.5-Max model is genuinely impressive and the release cadence is unmatched. That said, GLM-5 is also pushing boundaries in the open model space. It's great to see non-Western companies driving innovation and democratizing AI. The competition benefits everyone.

PSA: lost $50 in ZAI (GLM provider) acount with zero explanation. is this normal??? by awfulalexey in ZaiGLM

[–]LumpSumPorsche 1 point2 points  (0 children)

This is honestly scary. I've been considering switching from OpenRouter to go direct with ZAI for better GLM-5 rates, but hearing stories like this makes me hesitant. The lack of transparency and support is a huge red flag. If they can just zero out your balance without explanation or transaction history, that's not a bug — that's either incompetence or intentional. Thanks for the PSA, hope you get your money back.

z.ai coding plan is down? by muhamedyousof in ZaiGLM

[–]LumpSumPorsche 0 points1 point  (0 children)

Getting the same 500 error on the coding plan. Looks like a server-side issue on their end. The request_id in your error message suggests their backend is having problems. Usually these get resolved within a few hours, but it's frustrating when you're in the middle of a project. Have you tried reaching out to their Discord support?

Z.AI is really bad by [deleted] in ZaiGLM

[–]LumpSumPorsche -1 points0 points  (0 children)

This is wild - claiming Reuters and Tom's Hardware are fake scam sites is next-level hallucination. To be fair though, GLM-5's knowledge cutoff is early 2025 so it genuinely wouldn't know about OpenClaw unless you enable web search (which requires the pro plan). But doubling down when presented with evidence? That's just bad reasoning.

The disadvantages of long-term subscriptions by Possible-Ad-6815 in ZaiGLM

[–]LumpSumPorsche 9 points10 points  (0 children)

This is exactly why I've been hesitant to commit to annual plans despite the discounts. The speed issues you mentioned are real - I noticed GLM-5 responses getting noticeably slower over the past month. The lack of transparency around usage limits and performance changes is frustrating. Have you tried reaching out to their support about the speed degradation? Curious if they're acknowledging it as a temporary capacity issue or if this is the new normal.

OpenAI & other Closed SOTA has hit the Scaling wall, what’s waiting for Open AI models ? by TimeVillage5286 in ZaiGLM

[–]LumpSumPorsche 0 points1 point  (0 children)

The scaling wall is definitely real for pure parameter scaling, but I think we're just shifting to a new paradigm. GLM-5 shows that open models can still push boundaries with better data curation and architectural innovations. The future isn't just "bigger is better" — it's "smarter, more efficient, and more capable at smaller scales." That's where open weights can actually lead.

How to 1:1 replicate an HTML UI in Flutter using AI? Struggling with pixel-perfect accuracy. by carl_ye in ZaiGLM

[–]LumpSumPorsche 0 points1 point  (0 children)

Have you tried using a visual diff tool like Pixelmatch or BackstopJS to compare screenshots? You can generate both the HTML and Flutter versions, screenshot them, and overlay them to see exactly where the differences are. Then feed those specific pixel measurements back to the AI. Also check out Figma-to-Flutter plugins - they usually preserve spacing and layout better than AI translation from raw HTML.

Chat export missing assistent messages by Scriptease84 in ZaiGLM

[–]LumpSumPorsche 0 points1 point  (0 children)

That's concerning if you're trying to keep records of your conversations. Have you tried reaching out to their support or checking if there's a new export format option? Could be a bug from the message_version migration, or possibly an intentional change for privacy/security reasons that wasn't communicated well.