Merge branch '1.12.1-otel-ee' into deploy/enterprise

This commit is contained in:
GareArc 2026-03-02 04:20:06 -08:00
commit 11ab67c8cb
No known key found for this signature in database
7 changed files with 75 additions and 52 deletions

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@ -904,7 +904,7 @@ class TraceTask:
outputs=message_data.answer,
file_list=file_list,
start_time=created_at,
end_time=created_at + timedelta(seconds=message_data.provider_response_latency),
end_time=message_data.updated_at if message_data.updated_at and message_data.updated_at > created_at else created_at + timedelta(seconds=message_data.provider_response_latency),
metadata=metadata,
message_file_data=message_file_data,
conversation_mode=conversation_mode,

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@ -256,9 +256,18 @@ class EnterpriseOtelTrace:
invoke_from=invoke_from,
),
)
# Prefer wall-clock timestamps over the elapsed_time field: elapsed_time defaults
# to 0 in the DB and can be stale if the Celery write races with the trace task.
# start_time = workflow_run.created_at, end_time = workflow_run.finished_at.
if info.start_time and info.end_time:
workflow_duration = (info.end_time - info.start_time).total_seconds()
elif info.workflow_run_elapsed_time:
workflow_duration = float(info.workflow_run_elapsed_time)
else:
workflow_duration = 0.0
self._exporter.record_histogram(
EnterpriseTelemetryHistogram.WORKFLOW_DURATION,
float(info.workflow_run_elapsed_time),
workflow_duration,
self._labels(
**labels,
status=info.workflow_run_status,

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@ -5,7 +5,7 @@ This module provides parsers that extract node-specific metadata and set
OpenTelemetry span attributes according to semantic conventions.
"""
from extensions.otel.parser.base import DefaultNodeOTelParser, NodeOTelParser, safe_json_dumps
from extensions.otel.parser.base import DefaultNodeOTelParser, NodeOTelParser, safe_json_dumps, should_include_content
from extensions.otel.parser.llm import LLMNodeOTelParser
from extensions.otel.parser.retrieval import RetrievalNodeOTelParser
from extensions.otel.parser.tool import ToolNodeOTelParser
@ -17,4 +17,5 @@ __all__ = [
"RetrievalNodeOTelParser",
"ToolNodeOTelParser",
"safe_json_dumps",
"should_include_content",
]

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@ -1,5 +1,10 @@
"""
Base parser interface and utilities for OpenTelemetry node parsers.
Content gating: ``should_include_content()`` controls whether content-bearing
span attributes (inputs, outputs, prompts, completions, documents) are written.
Gate is only active in EE (``ENTERPRISE_ENABLED=True``) when
``ENTERPRISE_INCLUDE_CONTENT=False``; CE behaviour is unchanged.
"""
import json
@ -15,8 +20,20 @@ from core.workflow.enums import NodeType
from core.workflow.graph_events import GraphNodeEventBase
from core.workflow.nodes.base.node import Node
from extensions.otel.semconv.gen_ai import ChainAttributes, GenAIAttributes
from configs import dify_config
def should_include_content() -> bool:
"""Return True if content should be written to spans.
CE (ENTERPRISE_ENABLED=False): always True no behaviour change.
EE: follows ENTERPRISE_INCLUDE_CONTENT (default True).
"""
if not dify_config.ENTERPRISE_ENABLED:
return True
return dify_config.ENTERPRISE_INCLUDE_CONTENT
def safe_json_dumps(obj: Any, ensure_ascii: bool = False) -> str:
"""
Safely serialize objects to JSON, handling non-serializable types.
@ -105,10 +122,11 @@ class DefaultNodeOTelParser:
# Extract inputs and outputs from result_event
if result_event and result_event.node_run_result:
node_run_result = result_event.node_run_result
if node_run_result.inputs:
span.set_attribute(ChainAttributes.INPUT_VALUE, safe_json_dumps(node_run_result.inputs))
if node_run_result.outputs:
span.set_attribute(ChainAttributes.OUTPUT_VALUE, safe_json_dumps(node_run_result.outputs))
if should_include_content():
if node_run_result.inputs:
span.set_attribute(ChainAttributes.INPUT_VALUE, safe_json_dumps(node_run_result.inputs))
if node_run_result.outputs:
span.set_attribute(ChainAttributes.OUTPUT_VALUE, safe_json_dumps(node_run_result.outputs))
if error:
span.record_exception(error)

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@ -10,7 +10,7 @@ from opentelemetry.trace import Span
from core.workflow.graph_events import GraphNodeEventBase
from core.workflow.nodes.base.node import Node
from extensions.otel.parser.base import DefaultNodeOTelParser, safe_json_dumps
from extensions.otel.parser.base import DefaultNodeOTelParser, safe_json_dumps, should_include_content
from extensions.otel.semconv.gen_ai import LLMAttributes
logger = logging.getLogger(__name__)
@ -132,24 +132,19 @@ class LLMNodeOTelParser:
span.set_attribute(LLMAttributes.USAGE_OUTPUT_TOKENS, completion_tokens)
span.set_attribute(LLMAttributes.USAGE_TOTAL_TOKENS, total_tokens)
# Prompts and completion
prompts = process_data.get("prompts", [])
if prompts:
prompts_json = safe_json_dumps(prompts)
span.set_attribute(LLMAttributes.PROMPT, prompts_json)
# Prompts and completion — gated by content policy
if should_include_content():
prompts = process_data.get("prompts", [])
if prompts:
prompts_json = safe_json_dumps(prompts)
span.set_attribute(LLMAttributes.PROMPT, prompts_json)
text_output = str(outputs.get("text", ""))
if text_output:
span.set_attribute(LLMAttributes.COMPLETION, text_output)
text_output = str(outputs.get("text", ""))
if text_output:
span.set_attribute(LLMAttributes.COMPLETION, text_output)
# Finish reason
finish_reason = outputs.get("finish_reason") or ""
if finish_reason:
span.set_attribute(LLMAttributes.RESPONSE_FINISH_REASON, finish_reason)
# Structured input/output messages
gen_ai_input_message = _format_input_messages(process_data)
gen_ai_output_message = _format_output_messages(outputs)
span.set_attribute(LLMAttributes.INPUT_MESSAGE, gen_ai_input_message)
span.set_attribute(LLMAttributes.OUTPUT_MESSAGE, gen_ai_output_message)
# Structured input/output messages
gen_ai_input_message = _format_input_messages(process_data)
gen_ai_output_message = _format_output_messages(outputs)
span.set_attribute(LLMAttributes.INPUT_MESSAGE, gen_ai_input_message)
span.set_attribute(LLMAttributes.OUTPUT_MESSAGE, gen_ai_output_message)

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@ -11,7 +11,7 @@ from opentelemetry.trace import Span
from core.variables import Segment
from core.workflow.graph_events import GraphNodeEventBase
from core.workflow.nodes.base.node import Node
from extensions.otel.parser.base import DefaultNodeOTelParser, safe_json_dumps
from extensions.otel.parser.base import DefaultNodeOTelParser, safe_json_dumps, should_include_content
from extensions.otel.semconv.gen_ai import RetrieverAttributes
logger = logging.getLogger(__name__)
@ -83,23 +83,21 @@ class RetrievalNodeOTelParser:
inputs = node_run_result.inputs or {}
outputs = node_run_result.outputs or {}
# Extract query from inputs
query = str(inputs.get("query", "")) if inputs else ""
if query:
span.set_attribute(RetrieverAttributes.QUERY, query)
# Query and documents — gated by content policy
if should_include_content():
query = str(inputs.get("query", "")) if inputs else ""
if query:
span.set_attribute(RetrieverAttributes.QUERY, query)
# Extract and format retrieval documents from outputs
result_value = outputs.get("result") if outputs else None
retrieval_documents: list[Any] = []
if result_value:
value_to_check = result_value
if isinstance(result_value, Segment):
value_to_check = result_value.value
if isinstance(value_to_check, (list, Sequence)):
retrieval_documents = list(value_to_check)
if retrieval_documents:
semantic_retrieval_documents = _format_retrieval_documents(retrieval_documents)
semantic_retrieval_documents_json = safe_json_dumps(semantic_retrieval_documents)
span.set_attribute(RetrieverAttributes.DOCUMENT, semantic_retrieval_documents_json)
result_value = outputs.get("result") if outputs else None
retrieval_documents: list[Any] = []
if result_value:
value_to_check = result_value
if isinstance(result_value, Segment):
value_to_check = result_value.value
if isinstance(value_to_check, (list, Sequence)):
retrieval_documents = list(value_to_check)
if retrieval_documents:
semantic_retrieval_documents = _format_retrieval_documents(retrieval_documents)
semantic_retrieval_documents_json = safe_json_dumps(semantic_retrieval_documents)
span.set_attribute(RetrieverAttributes.DOCUMENT, semantic_retrieval_documents_json)

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@ -8,7 +8,7 @@ from core.workflow.enums import WorkflowNodeExecutionMetadataKey
from core.workflow.graph_events import GraphNodeEventBase
from core.workflow.nodes.base.node import Node
from core.workflow.nodes.tool.entities import ToolNodeData
from extensions.otel.parser.base import DefaultNodeOTelParser, safe_json_dumps
from extensions.otel.parser.base import DefaultNodeOTelParser, safe_json_dumps, should_include_content
from extensions.otel.semconv.gen_ai import ToolAttributes
@ -40,8 +40,10 @@ class ToolNodeOTelParser:
if tool_info:
span.set_attribute(ToolAttributes.TOOL_DESCRIPTION, safe_json_dumps(tool_info))
if result_event and result_event.node_run_result and result_event.node_run_result.inputs:
span.set_attribute(ToolAttributes.TOOL_CALL_ARGUMENTS, safe_json_dumps(result_event.node_run_result.inputs))
# Tool call arguments and result — gated by content policy
if should_include_content():
if result_event and result_event.node_run_result and result_event.node_run_result.inputs:
span.set_attribute(ToolAttributes.TOOL_CALL_ARGUMENTS, safe_json_dumps(result_event.node_run_result.inputs))
if result_event and result_event.node_run_result and result_event.node_run_result.outputs:
span.set_attribute(ToolAttributes.TOOL_CALL_RESULT, safe_json_dumps(result_event.node_run_result.outputs))
if result_event and result_event.node_run_result and result_event.node_run_result.outputs:
span.set_attribute(ToolAttributes.TOOL_CALL_RESULT, safe_json_dumps(result_event.node_run_result.outputs))