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happy coding
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happy coding
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hey-Chloe/README.md

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🌱 Open-source contributor to Microsoft PyRIT
微软 PyRIT 开源贡献者 · PR #2538 已合并 ↗

LLMS Claude Gemini DeepSeek Qwen Llama Mistral

AGENTS LangGraph LangChain LlamaIndex CrewAI MCP Dify n8n

INFERENCE Ollama vLLM Hugging Face OpenRouter Gradio Streamlit

RAG / DATA Qdrant Milvus pgvector Redis Supabase

LANG / OPS Python TypeScript PyTorch FastAPI Docker Kubernetes

🌱  Field guide — open to read what every chip actually is
LLMS field guide
AGENTS field guide
INFERENCE field guide
RAG / DATA field guide
LANG / OPS field guide

Featured work

Project What to inspect
MiniClaudeCode Studio Local agent runtime UI, checkpoint/resume flow, approval handling, and release validation notes.
KAI Offline RecSys Lab Offline recommendation-system experiments with deterministic metrics, retrieval baselines, and reproducible reports.
ProofCut Evidence-first content packaging pipeline with risk checks, local web demo, and publication manifests.
AI research evidence Source-led research notes and reproducibility ledger for AI project evidence.
Portfolio site Published project index and visual portfolio source.
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  1. microsoft/PyRIT microsoft/PyRIT Public

    The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

    Python 4.6k 946