xinyin025/LangBot
1
0
Fork 0
mirror of https://github.com/langbot-app/LangBot.git synced 2026-07-20 03:16:14 +00:00
Code Issues Packages Projects Releases Wiki Activity

new

Browse Source
This commit is contained in:
Typer_Body
2026-06-02 02:08:07 +08:00
parent 804448b6cd
commit 543fbd8ca0
7 changed files with 199 additions and 196 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/langbot/pkg/workflow/nodes/llm_call.py
+9 -12
View File
@@ -615,11 +615,12 @@ Respond in the same language as the user's input.
return s0
logger.info(f'[LLM:{self.node_id}] Response: {_cut_str(response_text)}')
# Record LLM call log and response log
# Record LLM call log only (response log is redundant)
try:
if self.ap and context.query:
workflow_id = context.workflow_id or ''
workflow_name = context.variables.get('_workflow_name', 'Workflow')
bot_name = context.variables.get('_bot_name', 'Workflow')
node_name = self.get_config('name', self.node_id)
model_name = used_model.model_entity.name if used_model else 'unknown'
@@ -628,7 +629,10 @@ Respond in the same language as the user's input.
if hasattr(self, '_llm_start_time'):
duration_ms = int((time.time() - self._llm_start_time) * 1000)
# Record LLM call log (with LLM info)
# Get message_id for LLM call association
message_id = context.variables.get('_monitoring_message_id')
# Record LLM call log with message_id association
await monitoring_helper.WorkflowMonitoringHelper.record_llm_call_log(
ap=self.ap,
query=context.query,
@@ -640,16 +644,9 @@ Respond in the same language as the user's input.
output_tokens=usage.get('completion_tokens', 0),
duration_ms=duration_ms,
status='success',
)
# Record LLM response log (with response message)
await monitoring_helper.WorkflowMonitoringHelper.record_llm_response_log(
ap=self.ap,
query=context.query,
workflow_id=workflow_id,
workflow_name=workflow_name,
node_name=node_name,
response_content=response_text,
bot_name=bot_name,
context_vars=context.variables,
message_id=message_id,
)
except Exception as e:
logger.warning(f'[LLM:{self.node_id}] Failed to record LLM logs: {e}')