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OpenLIT πŸ”­ Profile
OpenLIT πŸ”­

@openlit_io

Followers
102
Following
298
Media
73
Statuses
169

Open-source Platform for AI Engineering | O11y | Prompts | Vault | Evals | πŸ’» GitHub: https://t.co/JfGWfgK4BG πŸ“™ Docs: https://t.co/PmGC2wyxbs

Joined February 2024
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@openlit_io
OpenLIT πŸ”­
5 months
We just crossed 100K monthly downloads for OpenLIT! OpenLIT is becoming the go-to open-source toolkit for AI observability and evals
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@openlit_io
OpenLIT πŸ”­
2 months
We’re live on @FazierHQ! πŸŽ‰ Our zero-code Agent Observability is now launching on Fazier, go check it out!! πŸ‘‰ https://t.co/wF8AUGIa4J #AI #observability #opensource #Agents
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@openlit_io
OpenLIT πŸ”­
2 months
Tired of redeploying just to monitor your AI agents? Zero-Code Agent Observability launches tomorrow on @FazierHQ & get full visibility into Agentic events! βœ… No code changes βœ… No image changes βœ… No redeploys Instant visibility for your AI agents πŸ”— https://t.co/5lQ5yumOcf
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@openlit_io
OpenLIT πŸ”­
2 months
Hey Everyone, We’re officially live on Product Hunt! πŸ“·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: https://t.co/oekxqOYudo
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@openlit_io
OpenLIT πŸ”­
2 months
πŸš€ Excited to announce we’re launching on Product Hunt This one makes LLM Observability at scale ridiculously simple. πŸ’‘ πŸ“… Mark your calendars: 10th October #ProductHunt #GenAI #Opensource #Launch #Kubernetes
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@openlit_io
OpenLIT πŸ”­
3 months
Managing prompts shouldn’t be chaos. ⚑ OpenLIT Prompt Hub stores, versions & reuses prompts with dynamic vars β€” perfect for A/B testing or rollbacks. No more β€œwhich prompt is latest?” confusion for teams building chatbots or RAG. πŸ‘‰
docs.openlit.io
Manage prompts centrally, fetch versions, and use variables for dynamic prompts
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@openlit_io
OpenLIT πŸ”­
3 months
πŸš€ Running LLMs on your own GPU? Monitor memory, temp & utilization with the first OpenTelemetry-based GPU monitoring for LLMs. ⚑ OpenLIT tracks GPU performance automatically β€” focus on your apps, not hardware. πŸ‘‰ https://t.co/BTEpV3epGJ #LLMObservability #OpenTelemetry
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docs.openlit.io
Simple GPU monitoring setup for AI workloads. Track NVIDIA and AMD GPU usage, temperature, and costs with zero code changes using OpenTelemetry.
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@openlit_io
OpenLIT πŸ”­
3 months
Observability isn’t optional for LLM apps. ⚑ Track every request, token, cost & latency to ensure reliability. If costs spike, traces reveal which prompts or models caused it. OpenLIT does this automatically so you can iterate faster & stay on budget. #AI #LLM #OpenSource
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@openlit_io
OpenLIT πŸ”­
3 months
πŸ’‘ LLM observability tip: Track cost per 1K tokens across models, prompts & settings β€” efficiency varies wildly. Teams have cut 2–3Γ— costs by spotting inefficient prompts + batching. ⚑ OpenLIT tracks tokens, latency & cost automatically. #LLMOptimization #AIEngineering
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@openlit_io
OpenLIT πŸ”­
3 months
Traditional APM & O11y tools can collect metrics/traces, but they weren’t designed to: βœ… Link prompts to responses & experiments βœ… Auto-evaluate outputs for quality & drift That’s where #OpenLIT fits in β€” built on OpenTelemetry but purpose-built for LLM applications #AI #LLM
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@openlit_io
OpenLIT πŸ”­
3 months
🧡 Why LLM traces aren’t just another API request: - Regular API: Request β†’ Process β†’ Response - LLM API: Request β†’ Context β†’ Inference β†’ Generation β†’ Response - Regular API: Fixed latency and cost patterns - LLM API: Latency varies with output length #LLMObservability
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@openlit_io
OpenLIT πŸ”­
3 months
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 https://t.co/cuRsSYv8zA` Instant traces & metrics β€” zero-code instrumentation 🎯 #AI #LLM #Observability #OpenTelemetry #OpenSource
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@openlit_io
OpenLIT πŸ”­
3 months
Stop flying blind with your AI apps! πŸ¦… Get full visibility into every LLM request β€” latency, token usage, and cost β€” and optimize performance with zero code changes using the OpenLIT SDK. Get started - https://t.co/vHtXbgMkgG . . . #AI #ArtificialIntelligence #LLM
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@openlit_io
OpenLIT πŸ”­
3 months
The biggest blocker to enterprise LLM adoption isn’t hallucinations or cost β€” it’s lack of visibility. From 50+ team chats: ❌ Hard to debug results ❌ Unclear costs ❌ Quality only flagged by complaints ❌ No audit trail The answer isn’t better models β€” it’s better tools.
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@openlit_io
OpenLIT πŸ”­
3 months
When your LLM goes on a hallucination spree 🀯 #AI #OSS #LLMs #LLMOps #Evals
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@openlit_io
OpenLIT πŸ”­
3 months
OpenLIT's #OpenTelemetry-native tools offer traces, metrics, and logs for each LLM interaction. βœ… Real-time performance monitoring βœ… Cost tracking by provider βœ… Prompt management with version control βœ… Automated quality scoring Stop relying on hope #LLMs #AIAgents
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@openlit_io
OpenLIT πŸ”­
3 months
73% of teams lack insight into LLM performance, token usage, and failures. Without observability, you risk: - Costly silent failures - Prompt degradation - User issues found via support tickets - Lack of data for model optimization solution? πŸ‘‡ #LLMObservability #LLMs #AI
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@_typeofnull
Aman Agarwal
4 months
πŸš€ Just launched on Product Hunt: Custom Dashboards in @openlit_io πŸŽ‰ πŸ” Real-time dashboards for AI apps & agents β€” track latency, tokens, costs & traces. ⚑ 100% open-source & OpenTelemetry-native. πŸ‘‰ https://t.co/cOEyVceyDS #AI #LLMs #OpenSource #GenAI
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@openlit_io
OpenLIT πŸ”­
4 months
πŸš€ Added automatic #OpenTelemetry metrics to our OpenLIT TypeScript SDK! #LLM apps & #AI agents built in Typescript/JavaScript now get usage, latency, and cost metrics out of the box. Thanks to @Gjvengelen for getting this added (x3)
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