
Kalytera — Find where your agent fails
Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
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Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step

Fine-tune LLMs with your data and manage custom facts with cryptographic deletion proofs.
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Run multiple AI models side by side using your existing API subscriptions.
@ContinuumCode · X

Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces

Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router

Collaborate on AI projects using a spatial node canvas to organize LLM context.
jebuehler55 · HN
I built a spatial node canvas to fix LLM context drift

Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X

Add AI interpretation buttons to financial news articles on Chinese financial platforms.
EliteOtaku · V2EX
搞了个解读财经数据的油猴脚本,适配金十,财联社,汇通,华尔街见闻 比较简单,但挺好用的,在快讯旁边加了一个 AI 按钮,点击后由 AI 解读该新闻/数据的影响,需自己准备 API key,支持 DeepSeek 和 OpenAI、Anthropic 格式 https://greasyfork.org/zh-CN/scripts/590009-%E9%87%91%E5%8D%81%E6%95%B0%E6%8D%AE%E5%87%80%E5%8C%96-ai-%E8%A7%A3%E8%AF%BB-deepseek

Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X

Agent-native TypeScript framework that trains and deploys custom ML models on managed GPUs.
@soleil_colza_ · X

Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified