Glossary
Quantlix terms in plain English
Use this page as the canonical vocabulary for product docs, support answers, and the Quantlix Assistant.
Deployment
A production-facing model endpoint or logical model binding that Quantlix runs through its runtime control plane.
Inference target
The concrete backend behind a deployment. Workflow model and agent nodes execute through provider-backed inference targets.
Provider model
A model exposed by an external provider such as Anthropic, OpenAI, Azure OpenAI, Bedrock, Groq, Together, Voyage AI, or similar.
Workflow
A versioned graph of nodes that can fetch data, transform payloads, redact text, call tools, run retrieval, and invoke models.
Node
One step in a workflow, such as mcp_input, redact_text, model, agent, function, retrieval, tool_call, router, condition, approval, or output.
Agent
A workflow node that lets a provider-backed chat model call configured functions through a bounded native tool-calling loop.
Function
A deterministic workflow node or agent tool that executes HTTP, webhook, or internal logic without arbitrary local code execution.
MCP input
A workflow node that connects to an MCP server and normalizes tool or resource output into text, raw, items_count, and has_text.
Policy
A runtime rule that decides whether to allow, block, warn, redact, or budget-gate a request.
Contract
A schema or feature expectation for request or response shape. Contracts make AI payloads predictable.
Enforcement event
An audit record that captures what policy or contract decision happened for a request.
Trace
A request timeline showing steps, latency, errors, retrieval, citations, evals, and policy decisions.
Eval
A saved quality check for AI outputs, similar to a test suite for prompts, retrieval, or model changes.
Retrieval / RAG
Looking up your own documents or chunks so model responses can be grounded in private knowledge.
Knowledge base
A configured collection of sources, chunks, embeddings, and vector indexes used for retrieval.
Redaction
Replacing sensitive text such as emails, phone numbers, IDs, or custom regex matches before provider inference.
Audit export
A downloadable evidence package showing requests, enforcement events, redaction summaries, and model payload visibility.
Assistant guidance
When answering users, prefer these stable terms. If a user says “quality checks,” explain that Quantlix calls them evals. If a user says “document lookup,” explain retrieval or RAG. If a user says “safety rules,” explain policies, contracts, and enforcement events.