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Sectum AI - adapters connecting the substrate and probes to real systems.

Project description

sectum-ai-adapters

The adapter SDK for Sectum AI — the connectors that point the marker substrate and the attack catalog at real systems.

Every adapter family ships a deterministic in-memory fake (used by the unit suite and offline runs) plus live backends, each behind a capability-reporting interface so probes can declare what they require:

  • Vector stores — pgvector, Chroma, Weaviate, Qdrant, Pinecone, Milvus, OpenSearch, Azure AI Search
  • RAG pipelines — generic HTTP, LangChain
  • Observability — Langfuse, LangSmith, Phoenix, Helicone, Datadog APM, generic OpenTelemetry
  • Agents — LangGraph, AutoGen, CrewAI, OpenAI Assistants, Anthropic tool-use, generic HTTP
  • MCP — stdio + streamable-HTTP Model Context Protocol clients
  • Cache — Redis
  • Model — HuggingFace + PEFT LoRA, vLLM and TGI (serving-only)
pip install sectum-ai-adapters
# live backends are opt-in extras, e.g.:
pip install "sectum-ai-adapters[pgvector]"   # or [redis], [langgraph], [anthropic-tooluse], ...

Most users install the umbrella package sectum-ai instead, which pulls this in automatically.

Apache-2.0.

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