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]>

This commit is contained in:

msjid

2026-09-18 21:04:09 +02:00

co-authored by

Claude Sonnet 5

parent 93e92a1210

commit 771280cde6

56 changed files with 7214 additions and 72 deletions

.gitignore

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 /target
 .env
 .fastembed_cache/
 .qdrant_data/
 data/audit_log.jsonl