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.
- Adapter configuration reference: https://docs.sectum.ai
- Source: https://github.com/sectum-ai/sectum-ai
Apache-2.0.
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