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fix: harden structured agent intake

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hailin
2026-07-27 20:31:41 +08:00
parent 8296f3c96f
commit 9c94957739
4 changed files with 19 additions and 7 deletions
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2
.env.example
View File

@@ -27,7 +27,7 @@ INTERNAL_MCP_TOKEN=
METRICS_TOKEN= METRICS_TOKEN=
AI_RUN_RETENTION_DAYS=90 AI_RUN_RETENTION_DAYS=90
AI_SLOW_RUN_THRESHOLD_SECONDS=20 AI_SLOW_RUN_THRESHOLD_SECONDS=20
AI_AGENT_MODEL_TIMEOUT_SECONDS=20 AI_AGENT_MODEL_TIMEOUT_SECONDS=60
KNOWLEDGE_EMBEDDING_DEPLOYMENT_ID=0 KNOWLEDGE_EMBEDDING_DEPLOYMENT_ID=0
KNOWLEDGE_EMBEDDING_DIMENSIONS=1536 KNOWLEDGE_EMBEDDING_DIMENSIONS=1536
KNOWLEDGE_EMBEDDING_ALLOW_HASH_FALLBACK=false KNOWLEDGE_EMBEDDING_ALLOW_HASH_FALLBACK=false

2
backend/apps/agents/management/commands/publish_trusted_ticket_intake.py
View File

@@ -7,6 +7,7 @@ from apps.modelhub.models import ModelDeployment
from apps.skills.models import SkillDefinition, SkillVersion from apps.skills.models import SkillDefinition, SkillVersion
RELEASE_MARKER = "trusted-ticket-intake-v5-structured-context" RELEASE_MARKER = "trusted-ticket-intake-v5-structured-context"
TRUSTED_INTAKE_MAX_OUTPUT_TOKENS = 8192
CATEGORY_CODES = [ CATEGORY_CODES = [
"business_issue", "business_issue",
"operation_issue", "operation_issue",
@@ -458,6 +459,7 @@ class Command(BaseCommand):
"knowledge_context": [], "knowledge_context": [],
}, },
temperature_override=0.1, temperature_override=0.1,
max_output_tokens_override=TRUSTED_INTAKE_MAX_OUTPUT_TOKENS,
published_at=timezone.now(), published_at=timezone.now(),
) )
AgentStepBinding.objects.bulk_create( AgentStepBinding.objects.bulk_create(

12
backend/apps/agents/services.py
View File

@@ -408,20 +408,30 @@ def _normalize_nested_output(output: Any, output_schema: dict) -> Any:
nested_fields = output.get("fields") nested_fields = output.get("fields")
if isinstance(nested_fields, dict): if isinstance(nested_fields, dict):
fields = _complete_object_shape(nested_fields, field_schema) fields = _complete_object_shape(nested_fields, field_schema)
normalized = dict(output)
elif field_codes.intersection(output): elif field_codes.intersection(output):
fields = _complete_object_shape( fields = _complete_object_shape(
{code: output[code] for code in field_codes if code in output}, {code: output[code] for code in field_codes if code in output},
field_schema, field_schema,
) )
normalized = {
code: value
for code, value in output.items()
if code not in field_codes
}
else: else:
fields = None fields = None
if fields is not None: if fields is not None:
questions = output.get("questions", output.get("follow_up_questions", [])) questions = output.get("questions", output.get("follow_up_questions", []))
return { normalized.pop("follow_up_questions", None)
normalized.update(
{
"fields": fields, "fields": fields,
"missing_fields": list(output.get("missing_fields", [])), "missing_fields": list(output.get("missing_fields", [])),
"questions": list(questions) if isinstance(questions, list) else [], "questions": list(questions) if isinstance(questions, list) else [],
} }
)
return normalized
return output return output

2
backend/config/settings/base.py
View File

@@ -124,7 +124,7 @@ INTERNAL_MCP_TOKEN = os.getenv("INTERNAL_MCP_TOKEN", "")
METRICS_TOKEN = os.getenv("METRICS_TOKEN", "") METRICS_TOKEN = os.getenv("METRICS_TOKEN", "")
AI_RUN_RETENTION_DAYS = int(os.getenv("AI_RUN_RETENTION_DAYS", "90")) AI_RUN_RETENTION_DAYS = int(os.getenv("AI_RUN_RETENTION_DAYS", "90"))
AI_SLOW_RUN_THRESHOLD_SECONDS = int(os.getenv("AI_SLOW_RUN_THRESHOLD_SECONDS", "20")) AI_SLOW_RUN_THRESHOLD_SECONDS = int(os.getenv("AI_SLOW_RUN_THRESHOLD_SECONDS", "20"))
AI_AGENT_MODEL_TIMEOUT_SECONDS = int(os.getenv("AI_AGENT_MODEL_TIMEOUT_SECONDS", "20")) AI_AGENT_MODEL_TIMEOUT_SECONDS = int(os.getenv("AI_AGENT_MODEL_TIMEOUT_SECONDS", "60"))
KNOWLEDGE_EMBEDDING_DEPLOYMENT_ID = int( KNOWLEDGE_EMBEDDING_DEPLOYMENT_ID = int(
os.getenv("KNOWLEDGE_EMBEDDING_DEPLOYMENT_ID", "0") os.getenv("KNOWLEDGE_EMBEDDING_DEPLOYMENT_ID", "0")
) )