decide

com.ai-rete-rag/ai-rete-rag-mcp · Verify this server

Make a deterministic, auditable decision in a domain. The verdict comes from the domain's rule set (Rete engine, never the LLM), so it is reproducible and compliant. The explanation is generated from the domain's ingested policy documents. Args: domain: Rule-set domain, e.g. "loan", "fraud", "clinical". query: Natural-language question or decision request. facts: Structured facts for working memory, e.g. {"credit_score": 710, "annual_income": 85000}. Use `list_rules` to see which fields a domain's rules test. unstructured_text: Optional free text (an application, a case note); facts are extracted from it automatically and merged. response_mode: "verdict_only" (fastest), "verdict_with_explanation", or "full_audit" (every rule evaluation + retrieved chunks, available on every plan including the free tier). rule_firings come back in causal order: a rule that matched a fact asserted by an earlier firing appears after it, with the derived facts listed under `asserted_facts`. filter_retrieval_with_rules: Pattern 01 — run the rules first and let a fired rule's `retrieval_scope` action narrow which documents the retrieval searches before it runs. extract_from_retrieval: Pattern 02 — parse the retrieved documents into facts and assert them into working memory, so rules fire on what was actually read (not just the facts you passed).