update sdk version (#94)

* update sdk version for updated types

* bump version + update changelog

Author: axl1313

CHANGELOG.md

@@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.0.23] 2025-06-24
+
+- Update sdk version
+
 ## [1.0.22] 2025-06-23
 
 - Remove quality_preset arg
@@ -108,7 +112,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Initial release of the `cleanlab-codex` client library.
 
-[Unreleased]: https://github.com/cleanlab/cleanlab-codex/compare/v1.0.22...HEAD
+[Unreleased]: https://github.com/cleanlab/cleanlab-codex/compare/v1.0.23...HEAD
+[1.0.23]: https://github.com/cleanlab/cleanlab-codex/compare/v1.0.22...v1.0.23
 [1.0.22]: https://github.com/cleanlab/cleanlab-codex/compare/v1.0.21...v1.0.22
 [1.0.21]: https://github.com/cleanlab/cleanlab-codex/compare/v1.0.20...v1.0.21
 [1.0.20]: https://github.com/cleanlab/cleanlab-codex/compare/v1.0.19...v1.0.20

pyproject.toml

@@ -26,7 +26,7 @@ classifiers = [
 ]
 dependencies = [
   "cleanlab-tlm~=1.1",
-  "codex-sdk==0.1.0a21",
+  "codex-sdk==0.1.0a22",
   "pydantic>=2.0.0, <3",
 ]
 

src/cleanlab_codex/__about__.py

@@ -1,2 +1,2 @@
 # SPDX-License-Identifier: MIT
-__version__ = "1.0.22"
+__version__ = "1.0.23"

tests/test_validator.py

@@ -15,9 +15,21 @@ def mock_project() -> Generator[Mock, None, None]:
             is_bad_response=True,
             expert_answer=None,
             eval_scores={
-                "response_helpfulness": EvalScores(score=0.95, failed=False),
-                "trustworthiness": EvalScores(score=0.5, failed=True),
+                "response_helpfulness": EvalScores(
+                    score=0.95,
+                    triggered=False,
+                    triggered_escalation=False,
+                    triggered_guardrail=False,
+                ),
+                "trustworthiness": EvalScores(
+                    score=0.5,
+                    triggered=True,
+                    triggered_escalation=True,
+                    triggered_guardrail=True,
+                ),
             },
+            escalated_to_sme=True,
+            should_guardrail=True,
         )
         mock.from_access_key.return_value = mock_obj
         yield mock
@@ -31,9 +43,21 @@ def mock_project_with_custom_thresholds() -> Generator[Mock, None, None]:
             is_bad_response=False,
             expert_answer=None,
             eval_scores={
-                "response_helpfulness": EvalScores(score=0.95, failed=False),
-                "trustworthiness": EvalScores(score=0.5, failed=False),
+                "response_helpfulness": EvalScores(
+                    score=0.95,
+                    triggered=False,
+                    triggered_escalation=False,
+                    triggered_guardrail=False,
+                ),
+                "trustworthiness": EvalScores(
+                    score=0.5,
+                    triggered=False,
+                    triggered_escalation=False,
+                    triggered_guardrail=False,
+                ),
             },
+            escalated_to_sme=False,
+            should_guardrail=False,
         )
         mock.from_access_key.return_value = mock_obj
         yield mock
@@ -66,9 +90,21 @@ def test_validate_expert_answer(self, mock_project: Mock) -> None:
             is_bad_response=True,
             expert_answer="expert answer",
             eval_scores={
-                "response_helpfulness": EvalScores(score=0.95, failed=False),
-                "trustworthiness": EvalScores(score=0.5, failed=True),
+                "response_helpfulness": EvalScores(
+                    score=0.95,
+                    triggered=False,
+                    triggered_escalation=False,
+                    triggered_guardrail=False,
+                ),
+                "trustworthiness": EvalScores(
+                    score=0.5,
+                    triggered=True,
+                    triggered_escalation=True,
+                    triggered_guardrail=True,
+                ),
             },
+            escalated_to_sme=True,
+            should_guardrail=True,
         )
         # Basically any response will be flagged as untrustworthy
         result = validator.validate(query="test query", context="test context", response="test response")