Dikshika Sharma @intermurphi
Repeatedly asking framework questions Growth & research @metriqual Kernel Joined December 2014-
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No amount of time can make you forget what once felt like a fairytale lovestory....
Man, I have been cooking something for a while. Started with a pretty stupid question: Why the fuck does an AI agent have to die just because the model underneath it died? Provider goes down. Rate limit hits. Model starts acting weird. You switch the model. Cool. But what about the fucking state? What about the 20 minutes of work the agent already did? So I went down that rabbit hole. And somehow ended up building an entire infra layer around it. Metriqual. Been quietly working on this for months. I think it's finally time I start showing what we built.
When your AI crash it switches the model WITHOUT preserving the previous conversation. Metriqual preserves context across failovers, achieving 99.2% context preservation across 750 failovers. See how it works in 30 seconds. 👇 For more details and in-depth understading refer to the research paper published by our founders below. arxiv.org/abs/2607.15899
Things I find interesting at 2 in the morning 😀😀😀
Love feeling small in huge places. #wanderlust #expolretocreate 😭
@WisdomStoics Mummy please......twitter pe to chhd do
@bhaskarxd0 you hate your roommate 🥀
@nush_1320 GO AHEAD CUTI!!! Physics with FOM is fundamental in order to understand the nature of existence.
@theunblunt Preservation is the key for longevity! (quite literally lol)
Being 23 and feeling the sheer weight of nostalgia bout the places I've been to, people I met, conversations I've had and songs I've hummed to. Reminiscing bout the past life is not a gift, at least not for me. Hats off to people partying at 40-50-60 and honestly I need tips....cuz mann ts hard asf.
200 OK ≠ a successful request.
your api can be 100% successful and still be lying to you. learning this the hard way via a paper on llm gateway failures
it's not always switching models, it's also about preserving the context made a stateful study agent that works on primary provider (openai) that can switch context to the fallback model(anthropic) whenever a failure happens this demo shows how it can be done using @metriqual
What happens to the conversation when your LLM fails over? Turns out that switching to a backup model isn't really enough. This paper made me think about LLM gateways differently as in we have spent a lot on AI-infrastructures and making them available but what about the
@_khusheyyy @metriqual Crazy work @theunblunt @its_vayishu
What happens to the conversation when your LLM fails over? Turns out that switching to a backup model isn't really enough. This paper made me think about LLM gateways differently as in we have spent a lot on AI-infrastructures and making them available but what about the failovers, the quality of the infra, is the context preserved? Is continuity preserved? What systems we have to keep a check on these things which initially seem little but are very much significant in the long run? AI agents being more stateful is the need of the hour. Paper: ContinuityBench — A Benchmark and Systems Study of Stateful Failover in Multi-Provider LLM Routing. arxiv.org/abs/2607.15899 @metriqual @metriqual.com
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