sectum-ai-adapters 0.1.3

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

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 (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.

• Adapter configuration reference: https://docs.sectum.ai
• Source: https://github.com/sectum-ai/sectum-ai

Apache-2.0.