feat(api): api update

Author: stainless-app[bot]

.stats.yml

@@ -1,3 +1,3 @@
 configured_endpoints: 56
-openapi_spec_hash: 80b1836ebec22fc0dc25d5d8efe62a50
+openapi_spec_hash: 0f9ec74cbe1e9972d20ea57aded46fb9
 config_hash: 9e0ed146f9f6e6d1884a4c0589d6f1c2

src/codex/types/projects/query_log_list_by_group_response.py

@@ -416,6 +416,9 @@ class QueryLogsByGroupQueryLog(BaseModel):
     ai_guidance_id: Optional[str] = None
     """ID of the AI guidance remediation that was created from this query log."""
 
+    applied_expert_answer_id: Optional[str] = None
+    """ID of the expert answer that was applied to the query."""
+
     context: Optional[List[QueryLogsByGroupQueryLogContext]] = None
     """RAG context used for the query"""
 
@@ -491,6 +494,8 @@ class QueryLogsByGroupQueryLog(BaseModel):
     the highest priority
     """
 
+    issue_id: Optional[str] = None
+
     manual_review_status_override: Optional[Literal["addressed", "unaddressed"]] = None
     """Manual review status override for remediations."""
 

src/codex/types/projects/query_log_list_groups_response.py

@@ -411,6 +411,9 @@ class QueryLogListGroupsResponse(BaseModel):
     ai_guidance_id: Optional[str] = None
     """ID of the AI guidance remediation that was created from this query log."""
 
+    applied_expert_answer_id: Optional[str] = None
+    """ID of the expert answer that was applied to the query."""
+
     context: Optional[List[Context]] = None
     """RAG context used for the query"""
 
@@ -486,6 +489,8 @@ class QueryLogListGroupsResponse(BaseModel):
     the highest priority
     """
 
+    issue_id: Optional[str] = None
+
     manual_review_status_override: Optional[Literal["addressed", "unaddressed"]] = None
     """Manual review status override for remediations."""
 

src/codex/types/projects/query_log_list_response.py

@@ -399,6 +399,9 @@ class QueryLogListResponse(BaseModel):
     ai_guidance_id: Optional[str] = None
     """ID of the AI guidance remediation that was created from this query log."""
 
+    applied_expert_answer_id: Optional[str] = None
+    """ID of the expert answer that was applied to the query."""
+
     context: Optional[List[Context]] = None
     """RAG context used for the query"""
 
@@ -474,6 +477,8 @@ class QueryLogListResponse(BaseModel):
     the highest priority
     """
 
+    issue_id: Optional[str] = None
+
     messages: Optional[List[Message]] = None
     """Message history to provide conversation context for the query.
 

src/codex/types/projects/query_log_retrieve_response.py

@@ -403,6 +403,9 @@ class QueryLogRetrieveResponse(BaseModel):
     ai_guidance_id: Optional[str] = None
     """ID of the AI guidance remediation that was created from this query log."""
 
+    applied_expert_answer_id: Optional[str] = None
+    """ID of the expert answer that was applied to the query."""
+
     context: Optional[List[Context]] = None
     """RAG context used for the query"""
 
@@ -478,6 +481,8 @@ class QueryLogRetrieveResponse(BaseModel):
     the highest priority
     """
 
+    issue_id: Optional[str] = None
+
     manual_review_status_override: Optional[Literal["addressed", "unaddressed"]] = None
     """Manual review status override for remediations."""
 

src/codex/types/projects/remediation_list_resolved_logs_response.py

@@ -406,6 +406,9 @@ class QueryLog(BaseModel):
     ai_guidance_id: Optional[str] = None
     """ID of the AI guidance remediation that was created from this query log."""
 
+    applied_expert_answer_id: Optional[str] = None
+    """ID of the expert answer that was applied to the query."""
+
     context: Optional[List[QueryLogContext]] = None
     """RAG context used for the query"""
 
@@ -481,6 +484,8 @@ class QueryLog(BaseModel):
     the highest priority
     """
 
+    issue_id: Optional[str] = None
+
     messages: Optional[List[QueryLogMessage]] = None
     """Message history to provide conversation context for the query.