Node.js testing framework with method stubbing, console mocking, environment management, ESM and TypeScript support, circuit breaker utilities, security validation, and auto test generation
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Updated
Apr 21, 2026 - TypeScript
Node.js testing framework with method stubbing, console mocking, environment management, ESM and TypeScript support, circuit breaker utilities, security validation, and auto test generation
Record normalized DeepSeek Harness tool results and replay them offline with strict matching and zero tool-body execution.
Deterministic Python testing for tool-using agents. Mock MCP tools, assert exact tool calls and trajectories, verify headers, and run offline in CI.
Sub-millisecond offline Salesforce Apex test engine & AST call graph tracer powered by metadata-driven in-memory SQLite.
21 agentic AI design patterns in plain Python. Framework-free orchestration, offline tests, MCP/A2A SDK examples, and optional OpenAI versions.
Deterministic, offline GPU telemetry validation with machine-readable PASS/FAIL decisions, synthetic fixtures, and Windows/Linux CI.
Automated offline testing for PWAs and web apps with Playwright. Checks that your app loads, keeps data and recovers with no network, then writes an HTML report and an agent-ready fix plan.
Android TV slideshow app QA case covering cache, USB, offline behavior, test cases and defect evidence.
Digest Studio — Streamlit app that turns raw team notes into a branded .pptx weekly digest via Claude: 3 analysis modes with a validated JSON contract, login and usage logging; deterministic MockLLM runs it fully offline.
Observable Agent Loop – AI agent control loop for incident triage & root cause investigation. Autonomous tool calling, evidence grounding, bounded execution, failure recovery, trace redaction. Offline tests. Python 3.10+.
Point-in-time market-stress and options-positioning record you run yourself: every raw response stored, immutable snapshots, published models, CSV/SQLite/HTTP/MCP access. Python, SQLite, Flask.
Evaluate language model behavior with representative tasks and explicit pass rules.
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