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fix(api): resolve error in agent‑strategy prompt generator (#26278)

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quicksand 2025-09-26 16:16:55 +08:00 committed by GitHub
parent e682749d03
commit 3bb67885ef
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1 changed files with 8 additions and 10 deletions
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18
api/core/llm_generator/llm_generator.py
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@ -28,7 +28,6 @@ from core.ops.ops_trace_manager import TraceQueueManager, TraceTask
from core.ops.utils import measure_time
from core.prompt.utils.prompt_template_parser import PromptTemplateParser
from core.workflow.entities.workflow_node_execution import WorkflowNodeExecutionMetadataKey
from core.workflow.node_events import AgentLogEvent
from extensions.ext_database import db
from extensions.ext_storage import storage
from models import App, Message, WorkflowNodeExecutionModel
@ -462,19 +461,18 @@ class LLMGenerator:
)
def agent_log_of(node_execution: WorkflowNodeExecutionModel) -> Sequence:
raw_agent_log = node_execution.execution_metadata_dict.get(WorkflowNodeExecutionMetadataKey.AGENT_LOG)
raw_agent_log = node_execution.execution_metadata_dict.get(WorkflowNodeExecutionMetadataKey.AGENT_LOG, [])
if not raw_agent_log:
return []
parsed: Sequence[AgentLogEvent] = json.loads(raw_agent_log)
def dict_of_event(event: AgentLogEvent):
return {
"status": event.status,
"error": event.error,
"data": event.data,
return [
{
"status": event["status"],
"error": event["error"],
"data": event["data"],
}
return [dict_of_event(event) for event in parsed]
for event in raw_agent_log
]
inputs = last_run.load_full_inputs(session, storage)
last_run_dict = {