Comments URL: https://news.ycombinator.com/item?id=46841500

Points: 1

# Comments: 0

Hope you'll like it!

Comments URL: https://news.ycombinator.com/item?id=46841145

Points: 2

# Comments: 1

There's also a builder if you want to build games like that yourself @ https://qforge.studio. For now it's completely free and no login required so you can just jump in and build. Would love some feedback!

Comments URL: https://news.ycombinator.com/item?id=46168025

Points: 4

# Comments: 0

AsyncTool is a Hugging Face dataset of 270 high‑quality, multi‑turn (and I mean up to 60 turns) conversations where the assistant keeps talking while tools work in the background. Each case is different, grounded in real JSON‑Schema tool definitions, and the tool calls/results are consistent and make sense with no fabricated states or magical shortcuts.

What’s inside - 18 scenario templates × 15 renders = 270 conversations. - Conversations run 10–30 “in‑world” minutes with filler chat, retries, status checks, and out‑of‑order returns. - Every row includes messages, tools, and meta so you can replay transcripts, inspect schemas, and trace provenance. - Protocol features: placeholders, -FINAL handoffs, mixed sync/async chains, transient failures, and fatal‑error surfacing. - License: Apache‑2.0.

We’re exploring how agents can ack now, answer later - waiting for the right signal (last relevant tool result vs. last user question) while staying natural and helpful. This dataset gives you supervised signals to: - finetune assistants that acknowledge async work without hallucinating tool states, - build guardrails/regression tests for routers juggling retries and reordered responses, - evaluate “answered at the right time” behavior.

We’re also publishing the generator so you can reproduce or extend everything locally. If you’re building tool‑using agents - or just tired of UIs that freeze—this should help you train, test, and iterate faster.

Built with Torque → https://usetorque.dev/

Comments URL: https://news.ycombinator.com/item?id=45881203

Points: 2

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=45837642

Points: 1

# Comments: 1

So we built Torque: a schema‑first, declarative, fully typesafe DSL to generate conversational datasets.

What it is: Declarative DSL - Compose conversations like React components Fully Typesafe - Zod schemas with complete type inference Provider Agnostic - Generate with any AI SDK provider (OpenAI, Anthropic, DeepSeek, vLLM, LLaMA.cpp etc.) AI-Powered Content - Generate realistic varied datasets automatically without complicated scripts Faker Integration - Built-in Faker.js with automatic seed synchronization for reproducible fake data Cache Optimized - Reuses context across generations to reduce costs Prompt Optimized - Concise, optimized structures, prompts and generation workflow lets you use smaller, cheaper models Quick example Concurrent Generation - Beautiful async CLI with real-time progress tracking while generating concurrently

import { generateDataset, generatedUser, generatedAssistant, oneOf, assistant } from “@qforge/torque”; import { openai } from “@ai-sdk/openai”;

await generateDataset( () => [ generatedUser({ prompt: “Friendly greeting” }), oneOf([assistant({ content: “Hello!” }), generatedAssistant({ prompt: “Respond to greeting” })]), ], { count: 2, model: openai(“gpt-5-mini”), seed: 42 } );

Links • GitHub: https://github.com/qforge-dev/torque • Try in browser: https://stackblitz.com/github/qforge-dev/torque/tree/main/st... • npm: https://www.npmjs.com/package/@qforge/torque

What feedback would help most: • What dataset would you like us to create / recreate? • Do you like the API? Any suggestions on how to change it?

License: MIT.

Happy to answer questions in the thread!

Comments URL: https://news.ycombinator.com/item?id=45791822

Points: 3

# Comments: 1

When it comes to async that's exactly what we are trying to "solve". Right now models are built in a way that they expect tool results right after tool calls.

We are building datasets and a model with asynchronous interface as it's core. https://huggingface.co/qforge/Qwen3-14B-AT you can read more about it here.

For tooling attached to it right now we are using Pipedream integrations and are planning to move to an open source public solution configurable by users so u can set whatever you want.

So imagine you have a single chat interface that steers a fleet of other agents in the background for code. But not by handing off the memory but navigating the tasks in an async way.

Context here means any additional information.

Comments URL: https://news.ycombinator.com/item?id=45683928

Points: 7

# Comments: 11

Comments URL: https://news.ycombinator.com/item?id=44347790

Points: 3

# Comments: 4

Our vision on the future of computer use through voice assistance. Available everywhere in your system to do whatever you'd like including advanced agent based tool usage.

We're having a completely free beta now so hope you'll like it and test it out!

Comments URL: https://news.ycombinator.com/item?id=44139512

Points: 5

# Comments: 3