Vibe e2e testing toolkit
Assistant-first CLI for running, inspecting, and debugging local testkit suites
Provides test utilities to assist Salesforce CLI plug-in authors with writing non-unit tests (NUT).
Pacta verification affordances — RecordingProvider, builders, assertions, and the Cortex agent conformance testkit (`./conformance` subpath, S8/PRD-065).
Maps proxy protocols to `http.Agent` implementations
Complete and opinionated testkit for testing Redux projects (reducers, selectors, actions, thunks)
testkit for running NUTs for source related commands
TypeScript definitions for redux-testkit
Component testing library integration for vitest
`@qawolf/testkit` is a TypeScript toolkit designed to help you use QA Wolf flow helpers and runner integrations for cases outside normal browser or mobile automation.
Local service discovery implementation for Grest Framework
Testing mocks and utilities for Jaypie applications.
Component testing library runtime code.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
@wix/design-system
Copies bundled modules from `node_modules`. > This is not meant for extensive use, but rather for the few modules that are not published on public npm registry.
LangGraph
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. This package contains the logic for building realtime voice agents on the server or in the browser.
Component testing library for @grest-ts
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
Turn a function into an `http.Agent` instance
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
MockInference, deterministic strategies, in-memory stores, replay harness.
Composable agentic framework on top of atomr actors and atomr-infer.
Agent actor + per-turn pipeline + tool-call orchestration loop.
Avatar domain types for real-time, embodied agents: ARKit blendshape weights, viseme→blendshape mapping, AvatarFrame timecoding, AvatarSink trait, and the Live Link CBOR wire format consumed by an Unreal Engine 5 MetaHuman receiver.
Avatar orchestrator: composes STT (perception), atomr-infer (cognition), TTS (synthesis), viseme→blendshape mapping, and the Sync-Manager into a supervised actor pipeline. Drives an AvatarSink (Live Link UDP to UE5 MetaHuman) with timecode-aligned audio + ARKit blendshape frames.
Avatar audio→ARKit-blendshape provider backed by NVIDIA Audio2Face-3D. Currently a documented stub: the real runtime lives upstream in atomr-infer once FR-A2F-001 (audio2face modality) lands. x86_64 + NVIDIA-GPU-only.
Avatar UDP Live Link sink: streams timecode-aligned audio + ARKit blendshape frames over UDP using the avatar-core CBOR wire format, ready for consumption by an Unreal Engine 5 ILiveLinkSource receiver plugin. x86_64-only (matches the UE5 tooling pipeline).
LLM cache (in-memory, semantic) + middleware integration.
Callable trait unifying agents, workflows, tools, and harnesses.
atomr-agents CLI: harness eval run / registry list / harness pin / eval gate.
AgentContext + ContextAssembler for atomr-agents.
Core types for the atomr-agents framework: ids, budgets, context, events, errors.