chore: 🐝 Update SDK - Generate 0.13.2

.speakeasy/gen.yaml

@@ -29,7 +29,7 @@ generation:
     generateNewTests: false
     skipResponseBodyAssertions: false
 python:
-  version: 0.13.1
+  version: 0.13.2
   additionalDependencies:
     dev: {}
     main: {}

.speakeasy/workflow.lock

@@ -1,21 +1,20 @@
-speakeasyVersion: 1.731.2
+speakeasyVersion: 1.744.0
 sources:
     converge-source:
         sourceNamespace: converge-source
-        sourceRevisionDigest: sha256:48cf182ee10951ce591e9d09c41ff31c245676976837dc8efeeb81de92331450
-        sourceBlobDigest: sha256:7de50b965211e15a8a2e0f0aa4bf2e80879f8e95decc394147e411317e37caa0
+        sourceRevisionDigest: sha256:313f9cd08b2344c58acbb9205c7c6a2869aeb18a6a6aef75b0004f4dbcd02b51
+        sourceBlobDigest: sha256:294a929e310068628cf19eef16616cd4f95bd3e0f4aef0439588354e9bd55794
         tags:
             - latest
-            - speakeasy-sdk-regen-1771979923
-            - 1.0.80
+            - 1.0.82
 targets:
     censys-sdk-python:
         source: converge-source
         sourceNamespace: converge-source
-        sourceRevisionDigest: sha256:48cf182ee10951ce591e9d09c41ff31c245676976837dc8efeeb81de92331450
-        sourceBlobDigest: sha256:7de50b965211e15a8a2e0f0aa4bf2e80879f8e95decc394147e411317e37caa0
+        sourceRevisionDigest: sha256:313f9cd08b2344c58acbb9205c7c6a2869aeb18a6a6aef75b0004f4dbcd02b51
+        sourceBlobDigest: sha256:294a929e310068628cf19eef16616cd4f95bd3e0f4aef0439588354e9bd55794
         codeSamplesNamespace: converge-source-python-code-samples
-        codeSamplesRevisionDigest: sha256:3888134d241e822364240410bd135065d6da335e32aa1173967eeeb211429867
+        codeSamplesRevisionDigest: sha256:d2c8988ccc3a249c97ccdc8b0d52e62c708a67220d19774c728ed7e3c1800bc8
 workflow:
     workflowVersion: 1.0.0
     speakeasyVersion: latest

RELEASES.md

@@ -216,4 +216,14 @@ Based on:
 ### Generated
 - [python v0.13.1] .
 ### Releases
-- [PyPI v0.13.1] https://pypi.org/project/censys-platform/0.13.1 - .
+- [PyPI v0.13.1] https://pypi.org/project/censys-platform/0.13.1 - .
+
+## 2026-03-06 00:39:35
+### Changes
+Based on:
+- OpenAPI Doc  
+- Speakeasy CLI 1.744.0 (2.850.3) https://github.com/speakeasy-api/speakeasy
+### Generated
+- [python v0.13.2] .
+### Releases
+- [PyPI v0.13.2] https://pypi.org/project/censys-platform/0.13.2 - .

docs/models/assetchangetypes.md

@@ -1,5 +1,13 @@
 # AssetChangeTypes
 
+## Example Usage
+
+```python
+from censys_platform.models import AssetChangeTypes
+
+value = AssetChangeTypes.ADDED
+```
+
 
 ## Values
 

docs/models/attackcomplexity.md

@@ -2,6 +2,16 @@
 
 Indicates conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. The Attack Complexity metric is scored as either Low or High. There are two possible values: Low (L) – There are no specific pre-conditions required for exploitation, High (H) – The attacker must complete some number of preparatory steps in order to get access.
 
+## Example Usage
+
+```python
+from censys_platform.models import AttackComplexity
+
+value = AttackComplexity.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/attackrequirements.md

@@ -1,5 +1,15 @@
 # AttackRequirements
 
+## Example Usage
+
+```python
+from censys_platform.models import AttackRequirements
+
+value = AttackRequirements.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/attackvector.md

@@ -2,6 +2,16 @@
 
 Indicates the level of access required for an attacker to exploit the vulnerability. The Attack Vector metric is scored in one of four levels: Network (N) – Vulnerabilities with this rating are remotely exploitable, from one or more hops away, up to, and including, remote exploitation over the Internet, Adjacent (A) – A vulnerability with this rating requires network adjacency for exploitation. The attack must be launched from the same physical or logical network, Local (L) – Vulnerabilities with this rating are not exploitable over a network, Physical (P) – An attacker must physically interact with the target system.
 
+## Example Usage
+
+```python
+from censys_platform.models import AttackVector
+
+value = AttackVector.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/automatable.md

@@ -1,5 +1,15 @@
 # Automatable
 
+## Example Usage
+
+```python
+from censys_platform.models import Automatable
+
+value = Automatable.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/availability.md

@@ -2,6 +2,16 @@
 
 If an attack renders information unavailable, such as when a system crashes or through a DDoS attack, availability is negatively impacted. Availability has three possible values: None (N) – There is no loss of availability, Low (L) – Availability might be intermittently limited, or performance might be negatively impacted, as a result of a successful attack, High (H) – There is a complete loss of availability of the impacted system or information.
 
+## Example Usage
+
+```python
+from censys_platform.models import Availability
+
+value = Availability.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/changetype.md

@@ -1,5 +1,15 @@
 # ChangeType
 
+## Example Usage
+
+```python
+from censys_platform.models import ChangeType
+
+value = ChangeType.ADDED
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/changetypes.md

@@ -1,5 +1,13 @@
 # ChangeTypes
 
+## Example Usage
+
+```python
+from censys_platform.models import ChangeTypes
+
+value = ChangeTypes.ASSET
+```
+
 
 ## Values
 

docs/models/collectionstatus.md

@@ -1,5 +1,15 @@
 # CollectionStatus
 
+## Example Usage
+
+```python
+from censys_platform.models import CollectionStatus
+
+value = CollectionStatus.UNSPECIFIED
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/collectionstatuses.md

@@ -1,5 +1,13 @@
 # CollectionStatuses
 
+## Example Usage
+
+```python
+from censys_platform.models import CollectionStatuses
+
+value = CollectionStatuses.POPULATING
+```
+
 
 ## Values
 

docs/models/confidentiality.md

@@ -2,6 +2,16 @@
 
 Refers to the disclosure of sensitive information to authorized and unauthorized users, with the goal being that only authorized users are able to access the target data. Confidentiality has three potential values: High (H) – The attacker has full access to all resources in the impacted system, including highly sensitive information such as encryption keys, Low (L) – The attacker has partial access to information, with no control over what, specifically, they are able to access, None (N) – No data is accessible to unauthorized users as a result of the exploit.
 
+## Example Usage
+
+```python
+from censys_platform.models import Confidentiality
+
+value = Confidentiality.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsattackcomplexity.md

@@ -2,6 +2,16 @@
 
 Indicates conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. The Attack Complexity metric is scored as either Low or High. There are two possible values: Low (L) – There are no specific pre-conditions required for exploitation, High (H) – The attacker must complete some number of preparatory steps in order to get access.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsAttackComplexity
+
+value = CVSSv4ComponentsAttackComplexity.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsattackvector.md

@@ -2,6 +2,16 @@
 
 Indicates the level of access required for an attacker to exploit the vulnerability. The Attack Vector metric is scored in one of four levels: Network (N) – Vulnerabilities with this rating are remotely exploitable, from one or more hops away, up to, and including, remote exploitation over the Internet, Adjacent (A) – A vulnerability with this rating requires network adjacency for exploitation. The attack must be launched from the same physical or logical network, Local (L) – Vulnerabilities with this rating are not exploitable over a network, Physical (P) – An attacker must physically interact with the target system.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsAttackVector
+
+value = CVSSv4ComponentsAttackVector.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsavailability.md

@@ -2,6 +2,16 @@
 
 If an attack renders information unavailable, such as when a system crashes or through a DDoS attack, availability is negatively impacted. Availability has three possible values: None (N) – There is no loss of availability, Low (L) – Availability might be intermittently limited, or performance might be negatively impacted, as a result of a successful attack, High (H) – There is a complete loss of availability of the impacted system or information.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsAvailability
+
+value = CVSSv4ComponentsAvailability.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsconfidentiality.md

@@ -2,6 +2,16 @@
 
 Refers to the disclosure of sensitive information to authorized and unauthorized users, with the goal being that only authorized users are able to access the target data. Confidentiality has three potential values: High (H) – The attacker has full access to all resources in the impacted system, including highly sensitive information such as encryption keys, Low (L) – The attacker has partial access to information, with no control over what, specifically, they are able to access, None (N) – No data is accessible to unauthorized users as a result of the exploit.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsConfidentiality
+
+value = CVSSv4ComponentsConfidentiality.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsintegrity.md

@@ -2,6 +2,16 @@
 
 Refers to whether the protected information has been tampered with or changed in any way. If there is no way for an attacker to alter the accuracy or completeness of the information, integrity has been maintained. Integrity has three values: None (N) – There is no loss of the integrity of any information, Low (L) – A limited amount of information might be tampered with or modified, but there is no serious impact on the protected system, High (H) – The attacker can modify any/all information on the target system, resulting in a complete loss of integrity.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsIntegrity
+
+value = CVSSv4ComponentsIntegrity.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsprivilegesrequired.md

@@ -2,6 +2,16 @@
 
 Describes the level of privileges or access an attacker must have before successful exploitation. There are three possible values: None (N) – There is no privilege or special access required to conduct the attack, Low (L) – The attacker requires basic, “user” level privileges to leverage the exploit, High (H) – Administrative or similar access privileges are required for successful attack.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsPrivilegesRequired
+
+value = CVSSv4ComponentsPrivilegesRequired.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/cvssv4componentsuserinteraction.md

@@ -2,6 +2,16 @@
 
 Describes whether a user, other than the attacker, is required to do anything or participate in exploitation of the vulnerability. User interaction has two possible values: None (N) – No user interaction is required, Required (R) – A user must complete some steps for the exploit to succeed. For example, a user might be required to install some software.
 
+## Example Usage
+
+```python
+from censys_platform.models import CVSSv4ComponentsUserInteraction
+
+value = CVSSv4ComponentsUserInteraction.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/dnsresourcerecordtype.md

@@ -2,6 +2,16 @@
 
 An enumerated field indicating what type of data is in the "services.dns.additionals.response" field. For example, "A" signifies that the value in "services.dns.additionals.response" is an IPv4 address for the FQDN in "services.dns.additionals.name".
 
+## Example Usage
+
+```python
+from censys_platform.models import DNSResourceRecordType
+
+value = DNSResourceRecordType.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/endpointscanstatetransportprotocol.md

@@ -1,5 +1,15 @@
 # EndpointScanStateTransportProtocol
 
+## Example Usage
+
+```python
+from censys_platform.models import EndpointScanStateTransportProtocol
+
+value = EndpointScanStateTransportProtocol.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values
 

docs/models/endpointscantransportprotocol.md

@@ -1,5 +1,15 @@
 # EndpointScanTransportProtocol
 
+## Example Usage
+
+```python
+from censys_platform.models import EndpointScanTransportProtocol
+
+value = EndpointScanTransportProtocol.UNKNOWN
+
+# Open enum: unrecognized values are captured as UnrecognizedStr
+```
+
 
 ## Values