Developer Tools1 month ago
Agent Observability that Just Works at Scale - Oodle.ai | Oodle AI
Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
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Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces
AcruxCore is an LLM-ops platform for engineering teams: version prompts, route LLM calls through an OpenAI-compatible gateway, trace every request, catalog tools, and evaluate qual
@AcruxCore · X
Route LLM calls to cost-effective models without sacrificing quality.
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost
Format-agnostic LLM hub. Bring your own provider keys and route across Anthropic, OpenAI, ChatGPT/Codex, Kimi, Alibaba DashScope, and AWS Bedrock — with unified observability and c
@0xxmemo · X
Send your question to a panel of LLMs that peer-review each other and return one synthesized answer.
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree
Compress prompts before LLM API calls to reduce token usage and costs.
@asgujjuasitgets · X
Real-time LLM-powered news aggregator surfacing trending stories with live updates.
tdubey · HN
DWS A LLM Generated, "Drudge Report" style news site
Compress prompts and reduce LLM token costs by detecting duplicate tool calls.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router
Compress LLM prompts and documents to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️
Grades AI agents' real conversations with an LLM judge, providing A–F scorecards and FinOps analysis.
@tech_maju · X
Estimate GPU memory, latency, TTFT, TPOT, and throughput for LLM inference.
popopanda · HN
LLM Inference Calculator – Estimate VRAM, Latency, and Throughput