feat: init commint

backend/apps/agents/management/commands/publish_knowledge_distillation.py

@@ -4,9 +4,11 @@ from django.utils import timezone
 
 from apps.agents.models import AgentDefinition, AgentStepBinding, AgentVersion
 from apps.modelhub.models import ModelDeployment
+from apps.modelhub.structured_output import StructuredOutputError, ensure_compatible
 from apps.skills.models import SkillDefinition, SkillVersion
+from apps.skills.services import validate_skill_version
 
-RELEASE_MARKER = "knowledge-distillation-v1"
+RELEASE_MARKER = "knowledge-distillation-v2-native-schema-subset"
 
 AGENT_INPUT_SCHEMA = {
     "type": "object",
@@ -125,7 +127,6 @@ OUTPUT_SCHEMA = {
         "citations": {
             "type": "array",
             "items": {"type": "integer", "minimum": 1},
-            "uniqueItems": True,
         },
         "knowledge_draft": KNOWLEDGE_DRAFT_SCHEMA,
         "troubleshooting_plan_draft": PLAN_DRAFT_SCHEMA,
@@ -189,6 +190,14 @@ class Command(BaseCommand):
         )
         if deployment is None:
             raise CommandError("请先配置并启用模型渠道和模型配置")
+        try:
+            ensure_compatible(
+                mode=deployment.structured_output_mode,
+                test_status=deployment.structured_output_test_status,
+                enforcement="native_json_schema",
+            )
+        except StructuredOutputError as error:
+            raise CommandError(f"{error.code}: {error}") from error
         agent, _ = AgentDefinition.objects.get_or_create(
             code="knowledge-distillation",
             defaults={
@@ -221,6 +230,7 @@ class Command(BaseCommand):
             prompt_template=PROMPT,
             input_schema=AGENT_INPUT_SCHEMA,
             output_schema=OUTPUT_SCHEMA,
+            output_enforcement="native_json_schema",
             example_input={
                 "ticket": {
                     "ticket_no": "TK-DEMO",
@@ -233,6 +243,7 @@ class Command(BaseCommand):
             },
             published_at=timezone.now(),
         )
+        validate_skill_version(skill_version)
         skill.active_version = skill_version
         skill.save(update_fields=["active_version", "updated_at"])
         agent_version = AgentVersion.objects.create(