diff --git a/README.md b/README.md
index 82f3536..19888fa 100644
--- a/README.md
+++ b/README.md
@@ -45,7 +45,7 @@ The above sample must be run from the root directory of a deployed Open MPIC aws
 
 The API is compliant with the [Open MPIC Specification](https://github.com/open-mpic/open-mpic-specification).
 
-There is [documentation based on the API specification used in this version](https://open-mpic.org/documentation.html?commit=150a21d8c8e1c4758494f75d4e6811a1c6d05058).
+There is [documentation based on the API specification used in this version](https://open-mpic.org/documentation.html?commit=d19a6217becc22c528194923b66fd420105f5740).
 
 ## Development
 Code changes can easily be deployed by editing the .py files and then rezipping the project via `./zip-all.sh` and `./2-package.sh` in the `layer` directory. Then, running `tofu apply` run from the open-tofu directory will update only on the required resources and leave the others unchanged. If any `.tf.template` files are changed or `config.yaml` is edited, `hatch run ./configure.py` must be rerun followed by `tofu apply` in the open-tofu directory.
diff --git a/pyproject.toml b/pyproject.toml
index 4b62f59..dcb15b2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,7 +33,7 @@ dependencies = [
     "pydantic==2.11.7",
     "aiohttp==3.12.14",
     "aws-lambda-powertools[parser]==3.15.1",
-    "open-mpic-core==6.1.0",
+    "open-mpic-core==6.2.0",
     "aioboto3~=14.3.0",
     "black==25.1.0",
 ]
@@ -56,7 +56,7 @@ Source = "https://github.com/open-mpic/aws-lambda-python"
 #virtual = ".hatch"
 
 [tool.api]
-spec_version = "3.6.0"
+spec_version = "3.7.0"
 spec_repository = "https://github.com/open-mpic/open-mpic-specification"
 
 [tool.hatch]
diff --git a/src/aws_lambda_mpic/__about__.py b/src/aws_lambda_mpic/__about__.py
index 5b60188..e4adfb8 100644
--- a/src/aws_lambda_mpic/__about__.py
+++ b/src/aws_lambda_mpic/__about__.py
@@ -1 +1 @@
-__version__ = "1.5.0"
+__version__ = "1.6.0"
diff --git a/tests/integration/test_deployed_mpic_api.py b/tests/integration/test_deployed_mpic_api.py
index b2f1eb8..dcf298a 100644
--- a/tests/integration/test_deployed_mpic_api.py
+++ b/tests/integration/test_deployed_mpic_api.py
@@ -371,6 +371,24 @@ def api_should_return_200_and_failed_corroboration_given_failed_dcv_check(self,
         response_body = json.loads(response.text)
         print("\nResponse:\n", json.dumps(response_body, indent=4))  # pretty print response body
 
+    # this test will only pass if 4+ perspectives are configured in the deployed MPIC service
+    def api_should_accept_specific_cohort_number_if_enough_perspective_cohorts_are_accommodated(self, api_client):
+        request = MpicCaaRequest(
+            domain_or_ip_target="example.com",
+            orchestration_parameters=MpicRequestOrchestrationParameters(
+                perspective_count=2, quorum_count=2, cohort_for_single_attempt=2  # use the second cohort of two
+            ),
+            caa_check_parameters=CaaCheckParameters(
+                certificate_type=CertificateType.TLS_SERVER, caa_domains=["mozilla.com"]
+            ),
+        )
+
+        response = api_client.post(MPIC_REQUEST_PATH, json.dumps(request.model_dump()))
+        mpic_response = self.mpic_response_adapter.validate_json(response.text)
+        assert response.status_code == 200
+        assert mpic_response.is_valid is True
+        assert len(mpic_response.perspectives) == 2
+
     def api_should_return_400_given_invalid_orchestration_parameters_in_request(self, api_client):
         request = MpicCaaRequest(
             domain_or_ip_target="example.com",