@JioCare@reliancejio@JioCare
Again facing issues, network is not coming. Even though having valid plan and while mobile network 5G is serving well my jio airfiber is not pulling network.
Please look into it address the issue. SR00003D498B service id
@MyntraSupport@myntra
Why don't you introduce save search filter presents?
And also blocking particular seller or brand or give ability to restrict the brands in account level.
@JioCare I require assistance obtaining my monthly bill invoices. Despite having submitted payment for three months, only the initial tax invoice is visible. I need a detailed monthly breakdown of these charges.
Monthly bill should be generated.
Please assist me with this.
@JioCare@JioCare@reliancejio
Despite submitting multiple complaints, I have not yet received any assistance from your team. As I paid a 3month bill in advance for the initial connection, I am not receiving monthly invoices.
Furthermore, I am unable to view my bill, bill history options
@JioCare@JioCare still I was not getting monthly invoice bills for my jio connection as it was paid in advance for the quarter.
Not getting the monthly bills I have shared details already in DM please check.
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching.
Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work.
Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task.
Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented.
Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted.
Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect.
The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable.
Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.
@JioCare when there is no power, internet also not coming in our area.
I am able to see 4 out of 5 network bars in 5G signal strength. however it is saying no internet.