
Founder of @openlit_io | Cyber security using AI @transilienceai https://xitter.cf/t.co/cz5Dr0pbHj
Noida
Joined August 2014
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- Following175
- Followers60
- Likes245
Aman Agarwal retweeted
CVE-2026-85046 Google Chrome V8 Type Confusion Zero-Day 🚨
A webpage visit can be enough to exploit CVE-2026-85046.
The actively exploited V8 type confusion flaw enables sandboxed code execution in Chrome and affects the broader Chromium ecosystem.
Patch to 152.0.7977.82/.83+, restart, then hunt for suspicious browser-spawned processes and outbound connections.
Aman Agarwal retweeted
Your stack already has a home for telemetry.
OpenLIT datasource connectors let you bring it in:
ClickHouse · Tempo · Loki · Prometheus · Jaeger
Per-environment signal routing for traces, logs, and metrics.
Docs: docs.openlit.io/latest/openl…
OpenPlait: npmjs.com/settings/openplait…
Aman Agarwal retweeted
Most #LLM #observability guides stop at a single chat completion. But production AI systems are far more complex.
This post is a joint effort by the OpenLIT and VictoriaMetrics teams. @openlit_io brings the #OpenTelemetry-native instrumentation for LLMs and agents, while VictoriaMetrics provides the storage and query layer for the resulting metrics, traces, and logs. We wrote it together to show how the two projects fit into a single, self-hosted observability pipeline, and to share the patterns and queries that worked well for us along the way.
Learn more 👇
hubs.ly/Q04nFzRY0
#Otel #OpenLIT #SDK VictoriaMetrics
Aman Agarwal retweeted
We wrote a quick guide on adding observability to LLM apps with OpenTelemetry.
Trace prompts, debug issues, and track latency/cost in minutes 👇
openlit.io/blogs/how-to-add-…
Aman Agarwal retweeted
🚀 Python SDK v1.38.2 is out!
- Span name filtering
- VictoriaMetrics support
- Fix for eval LLM temperature
- Open WebUI pipeline improvements
- Dependency upgrades
Shoutout to new contributors 🎉
#AI #OpenSource #DevTools #openlit #llmops
Aman Agarwal retweeted
Void Manticore didn't hack Stryker.
They logged into Stryker.
One phished token. Global Admin created at 3:14 AM. Every CA policy disabled. Bulk wipe- 214,839 devices, 79 countries, 28 minutes.
We rebuilt the entire kill chain as a 15-page manga. Page and PDF in the thread 🧵
Research sourced from @_CPResearch_ @Unit42_Intel @cloudsa
#VoidManticore #Handala #Stryker #MicrosoftIntune #EntraID #ThreatIntelligence #ZeroTrust #InfoSec
Aman Agarwal retweeted
Come along to the DevOps Society meetup. There's talks on challenges running K8 clusters in prod, and myself on observing AI applications with @openlit_io OTel signals and @elastic.
meetup.com/devops-society/ev…
See you there! 👋
Aman Agarwal retweeted
We were copy-pasting the same claude code skills across 5 projects like cavemen. update one, forget the other four, ship a bug on friday at 5pm. classic.
so we did the only logical thing, asked claude to build a project manager for claude projects.
introducing cldpm. open source, works today.
Github: github.com/transilienceai/cl…
PyPI: pypi.org/project/cldpm/
npm: npmjs.com/package/cldpm
#ClaudeCode #AI #OpenSource #DevTools #BuildInPublic
Aman Agarwal retweeted
Adding application instrumentation is important because it helps us diagnose issues and bottlenecks. AI agents are no different!
OpenLit can be configured within your agent to send #telemetry information to Elastic via the following initialization:
Aman Agarwal retweeted
Replying to @elastic_devs
2025 was definitely an AI learning year for me. I enjoyed building my first #typescript agent leveraging #elasticsearch and context engineering, and observing another with @elastic and @openlit_io:
github.com/carlyrichmond/tra…
github.com/carlyrichmond/obs…
Aman Agarwal retweeted
We’re live on @FazierHQ!
🎉 Our zero-code Agent Observability is now launching on Fazier, go check it out!!
👉 fazier.com/launches/openlit-…
#AI #observability #opensource #Agents
Aman Agarwal retweeted
OpenLIT's Zero-code LLM Observability
🏅 Product Hunt Data
Ranking: 2025W41-rank45
Upvote: 149
🚀 Product Overview
OpenLIT offers zero-code observability for LLM applications and AI agents, allowing teams to monitor performance across models, vector databases, and GPU resources without modifying code or redeploying services.
📋 More Details
Built for teams managing production LLM workflows, OpenLIT eliminates friction by supporting both Kubernetes-native (via Helm) and cross-platform CLI installation. It works with existing tools like OpenAI, Anthropic, and LangChain, with flexible instrumentation and no vendor lock-in.
📊 Evaluation
AI Native Application Modernization: 91/100
OpenLIT is deeply AI-native, built specifically for LLM-based pipelines. Its zero-code model supports tight integration with language agents and prompt engineering, enabling rapid iteration in AI-based services.
🔗 Website
openlit.io/?ref=producthunt
@openlit_io
Aman Agarwal retweeted
Hey Everyone, We’re officially live on Product Hunt!
📷Introducing Zero-Code Observability for LLMs and AI Agents.
If you find our product useful, a quick upvote would mean a lot and help us reach more people:
producthunt.com/products/ope…
Aman Agarwal retweeted
🚀 Running LLMs on your own GPU?
Monitor memory, temp & utilization with the first OpenTelemetry-based GPU monitoring for LLMs.
⚡ OpenLIT tracks GPU performance automatically — focus on your apps, not hardware.
👉 docs.openlit.io/latest/sdk/q…
#LLMObservability #OpenTelemetry
Aman Agarwal retweeted
ℹ️ Pro Tip: You don’t need to touch your code to instrument your LLM app or AI Agent.
- > `pip install openlit`
-> `openlit-instrument python app.py`
Instant traces & metrics — zero-code instrumentation 🎯
#AI #LLM #Observability #OpenTelemetry #OpenSource
Aman Agarwal retweeted
Stop flying blind with your AI apps! 🦅
Get full visibility into every LLM request — latency, token usage, and cost — and optimize performance with zero code changes using the OpenLIT SDK.
Get started - docs.openlit.io/latest/sdk/q…
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#AI #ArtificialIntelligence #LLM
Aman Agarwal retweeted
Custom Dashboards in OpenLIT - Best AI Tool Finder bestaitoolfinder.com/custom-…
In the rapidly evolving landscape of AI, gaining deep insights into your Large Language Models (LLMs) is no longer a luxury—it’s a necessity. OpenLIT emerges as a powerful solution, offering a drag-and-drop Dashboard Builder for comprehensive LLM observability. Designed for full control and flexibility, OpenLIT is self-hosted and OpenTelemetry-native, ensuring it integrates effectively with OpenTelemetry-compatible SDKs and observability tools.
It empowers developers and teams to monitor critical metrics like cost and accuracy through custom, vendor-neutral views, with dashboards that are fully importable and exportable as JSON.
@openlit_io
Your service is truly excellent, so I published a review article about it. I’d appreciate it if you could take a look!
Aman Agarwal retweeted
🚀 [New AI App Alert] 🚀
*** Custom Dashboards in OpenLIT *** on ProductHunt!
Customizable self-hosted dashboards for LLM observability.
OpenLIT adds a drag-and-drop Dashboard Builder for full-control LLM observability. Self-host...
producthunt.com/products/ope…
Aman Agarwal retweeted
🛡️ Just added guardrails to the OpenLIT TS SDK! Thanks to @Gjvengelen (again!) in PR #805 🎉
You can now enforce quality checks like hallucination, bias, and toxicity inline using evals. Stop unsafe generations before they ship!























