reliability-testing

Environmental-test lab platform: SOP execution, ISO 17025 report generation, fixture tracking, and AI-assisted scheduling for temp/humidity chambers. FastAPI · React · SQLite · CI-gated pytest/Vitest.

Reliability testing for MCP servers: deterministic faults, bounded recovery, and executable regressions.

A middleware for LangChain agents that intentionally injects failures (exceptions) into tool and model calls to test agent resilience.

Reliability testing for probabilistic AI decisions in system-one-models.

Graph Simulator lets you build and test network configurations with node redundancy and failure scenarios, providing insights into stability and necessary improvements. It logs disconnections and allows for multi-instance simulations to find optimal reliability.

Governance, conventions, and durable project context for OpenReconcile — an open, vendor-neutral community for Kubernetes controller resilience.

Webhook delivery reliability testing platform - retry logic validation, idempotency verification, payload integrity, timeout handling, dead letter queue testing. TypeScript + Redis + GitHub Actions CI.

Local fault-injection lab for tool-using AI agents. Test timeouts, duplicate delivery, stale reads and recovery with deterministic assertions, replayable evidence, MCP and a local inspector.

把 DSH 回答的可靠性检查变成可重复、可复查的自动测试——离线优先，开箱即用

End-to-end reliability testing for multi-step AI agent workflows. Chaos testing, cascade failure detection, E2E benchmarks. What DeepEval/Langfuse/LangSmith can't test. Works with LangChain, CrewAI, AutoGen, OpenAI. npm install agent-reliability

MIT-licensed, inactive n8n reliability samples with synthetic fixtures and no credentials

SCITEO (峻茂新材料) | −255 to 1000 °C, 1.5–60 W/m·K, CTE 7.1–40 ppm/°C, modulus 2.6–15 GPa, shear 5–32 MPa. Seven product lines for semiconductor packaging, automotive electronics, extreme-temperature components and ultra-precision manufacturing.

Crash-test your AI agent before real users do.

The Python analysis measured the internal consistency reliability of a 20-item, four-construct questionnaire using Cronbach's alpha (α). The instrument measures perceptions across four technology-and-investigation constructs: Artificial Intelligence (AI), Blockchain Technology (BCT), Big Data Analytics (BDA), and Forensic Fraud Investigation (FFI).

Conducted in Python, this analysis examines the internal consistency (using Kuder-Richardson Formula 20 [KR-20]), inter-rater reliability (using Intraclass Correlation Coefficient [ICC] and Cohen's Kappa), item difficulty and discrimination indices, and the relationship between multiple-choice and essay sections for mixed-format achievement tests.

Measure LLM output consistency from the command line.

Reliability lab for idempotent game reward delivery: Outbox, ledger guard, retries, and invariant tests

Public research artifacts, evaluation frameworks, prototype workflows, and technical documentation for LLM reliability, structured analysis, and applied AI systems.

Portable, content-addressed reliability evidence for LLM systems. Capture how a model behaves under perturbation; preserve, verify, and diff the evidence across model changes.

Deterministic fault-injection and invariant-testing laboratory for durable SQLite job queues.