Add Maritime/Logistics support assistant with safety/eval layer

RAG + multi-agent (retrieval, policy-compliance, drafting) support
assistant for a fictional shipping company, built in Rust with Qdrant
for vector storage and a hand-rolled Anthropic tool-calling client
(no Rust pydantic-ai equivalent exists). A deterministic supervisor
orchestrates the agents and runs every response through a rule-based
guardrail pipeline with an append-only audit log.

Includes a 44-example golden dataset (normal/injection/policy-
violation/hallucination-bait/out-of-scope) and a regression harness
that scores retrieval, generation, and guardrail correctness
separately, plus a write-up of the failure modes and trade-offs.

Co-Authored-By: Claude Sonnet 5 <[email protected]>

.env.example

@@ -0,0 +1,12 @@
+# Required
+ANTHROPIC_API_KEY=
+
+# Optional overrides (defaults shown)
+MARITIME_LLM_MODEL=claude-sonnet-5
+MARITIME_QDRANT_URL=http://localhost:6334
+MARITIME_COLLECTION_NAME=maritime_kb
+MARITIME_EMBEDDING_CACHE_DIR=.fastembed_cache
+MARITIME_TOP_K=4
+MARITIME_AUDIT_LOG_PATH=data/audit_log.jsonl
+MARITIME_DOCUMENTS_DIR=src/knowledge/documents
+MARITIME_GOLDEN_DATASET_PATH=data/golden_dataset.jsonl