From 2e7bb1fca4d7a577cf48cd2e599fa52bfe800c86 Mon Sep 17 00:00:00 2001
From: badra001 <donald.e.badrak.ii@census.gov>
Date: Mon, 22 Jun 2026 12:58:16 -0400
Subject: [PATCH] fix

---
 README.md                      |  4 +--
 requests/DAS-Bedrock-Final.yml | 60 ----------------------------------
 2 files changed, 2 insertions(+), 62 deletions(-)
 delete mode 100644 requests/DAS-Bedrock-Final.yml

diff --git a/README.md b/README.md
index e661d2d..06aae3d 100644
--- a/README.md
+++ b/README.md
@@ -7,8 +7,8 @@
 ## AI Inventory Details
 
 * [Inventory Catalog](inventory/catalog.md)
-* [Inventory Markdown](inventory/inventory.md)
-* [Inventory YAML](inventory/inventory.yml)
+* [Inventory Markdown](inventory.md)
+* [Inventory YAML](inventory.yml)
 
 ## How to Submit a Request
 
diff --git a/requests/DAS-Bedrock-Final.yml b/requests/DAS-Bedrock-Final.yml
deleted file mode 100644
index 31ed68b..0000000
--- a/requests/DAS-Bedrock-Final.yml
+++ /dev/null
@@ -1,60 +0,0 @@
-template_date: 2026-06-22
-template_version: 1.0.5
-basic:
-  date:  2026-06-22
-  version: 1.0.0
-  contact_info:
-    - name: Michael Walsh
-      division: CED
-      mail: michael.j.walsh@census.gov
-  configuration_completed: YYYY-MM-DD
-
-bedrock_information:
-  company_name: U.S. Census Bureau
-  website_url: https://census.gov/
-  industry: Government
-  intended_users:
-    internal_employees: true
-    external_user: false
-  use_case_description: |
-    This project will support privacy enhancing / disclosure avoidance research through the use of LLMs to simulate adversarial queries and test the robustness and accuracy of privacy protected datasets.  
-    LLMs will additionally be used for AI assisted code development, test and documentation generation.
-
-bedrock_models:
-  - anthropic.claude-4-5-sonnet
-  - amazon.titan-embed-text
-  - meta.llama3-8b
-  - meta.llama3-70b
-
-federal_standards_information:
-  id: 20260622-2
-  project_name: DAS
-  project_summary: |
-    This project will support privacy enhancing / disclosure avoidance research through the use of LLMs to simulate adversarial queries and test the robustness and accuracy of privacy protected datasets.  
-    LLMs will additionally be used for AI assisted code development, test and documentation generation.
-  development_stage: active
-  data_sensitivity:
-    - title13
-  dms_project_number: 7523893
-  cms_project_number: N/A
-  dates:
-    start_date: 2017-05-17
-    end_date: 2032-01-01
-
-deployment_details:
-  crf_number: 706
-  finops_project_number: 33
-  finops_project_name: ti2cet_das
-  csam_id: 3140
-  accounts:
-    - account_id: 252999262699
-      account_alias: ma8-gov
-      regions:
-        - us-gov-west-1
-      environment: ite
-      commercial_account_id: 096973145231
-      commercial_account_alias: ma8-ew
-
-history:
-  - date: 20260622
-    comment: initial cleanup of file