Merge pull request #497 from SuanmoSuanyangTechnology/fix/bug-patch
feat(workflow,chat): support multimodal context and add message_id to chat API response; fix Dify compatibility issues
This commit is contained in:
@@ -111,7 +111,7 @@ async def Split_The_Problem(state: ReadState) -> ReadState:
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"error_type": type(e).__name__,
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"error_message": str(e),
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"content_length": len(content),
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"llm_model_id": memory_config.llm_model_id if memory_config else None
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"llm_model_id": str(memory_config.llm_model_id) if memory_config else None
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}
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logger.error(f"Split_The_Problem error details: {error_details}")
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@@ -221,7 +221,7 @@ async def Problem_Extension(state: ReadState) -> ReadState:
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"error_type": type(e).__name__,
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"error_message": str(e),
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"questions_count": len(databasets),
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"llm_model_id": memory_config.llm_model_id if memory_config else None
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"llm_model_id": str(memory_config.llm_model_id) if memory_config else None
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}
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logger.error(f"Problem_Extension error details: {error_details}")
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@@ -129,11 +129,11 @@ class DifyConverter(BaseConverter):
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@staticmethod
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def _convert_file(var):
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pass
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return None
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@staticmethod
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def _convert_array_file(var):
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pass
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return []
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@staticmethod
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def variable_type_map(source_type) -> VariableType | None:
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@@ -198,7 +198,7 @@ class DifyConverter(BaseConverter):
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"over-write": AssignmentOperator.COVER,
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"remove-last": AssignmentOperator.REMOVE_LAST,
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"remove-first": AssignmentOperator.REMOVE_FIRST,
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"set": AssignmentOperator.ASSIGN,
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}
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return operator_map.get(operator, operator)
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@@ -267,10 +267,10 @@ class DifyConverter(BaseConverter):
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type=var_type,
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required=var["required"],
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default=self.convert_variable_type(
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var_type, var["default"]
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var_type, var.get("default")
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),
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description=var["label"],
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max_length=var.get("max_length"),
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max_length=var.get("max_length", 50),
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)
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start_vars.append(var_def)
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result = StartNodeConfig.model_construct(
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@@ -333,7 +333,7 @@ class DifyConverter(BaseConverter):
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MessageConfig(
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role="user",
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content=self.trans_variable_format(
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node_data["memory"].get("query_prompt_template", "{{#sys.query#}}")
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node_data["memory"].get("query_prompt_template") or "{{#sys.query#}}"
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)
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)
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)
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@@ -612,7 +612,7 @@ class DifyConverter(BaseConverter):
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),
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headers=headers,
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params=params,
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verify_ssl=node_data["ssl_verify"],
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verify_ssl=node_data.get("ssl_verify", False),
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timeouts=HttpTimeOutConfig.model_construct(
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connect_timeout=node_data["timeout"]["max_connect_timeout"] or 5,
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read_timeout=node_data["timeout"]["max_read_timeout"] or 5,
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@@ -696,7 +696,7 @@ class DifyConverter(BaseConverter):
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group_variables = {}
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group_type = {}
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if not advanced_settings or not advanced_settings["group_enabled"]:
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group_variables["output"] = [
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group_variables = [
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self._process_list_variable_litearl(variable)
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for variable in node_data["variables"]
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]
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@@ -83,6 +83,12 @@ class DifyAdapter(BasePlatformAdapter, DifyConverter):
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require_fields = frozenset({'app', 'kind', 'version', 'workflow'})
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if not all(field in self.config for field in require_fields):
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return False
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if self.config.get("app",{}).get("mode") == "workflow":
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self.errors.append(ExceptionDefineition(
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type=ExceptionType.PLATFORM,
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detail="workflow mode is not supported"
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))
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return False
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for node in self.origin_nodes:
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if not self._valid_nodes(node):
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@@ -134,6 +140,8 @@ class DifyAdapter(BasePlatformAdapter, DifyConverter):
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for node in self.origin_nodes:
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if self.map_node_type(node["data"]["type"]) == NodeType.LLM:
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self.node_output_map[f"{node['id']}.text"] = f"{node['id']}.output"
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elif self.map_node_type(node["data"]["type"]) == NodeType.KNOWLEDGE_RETRIEVAL:
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self.node_output_map[f"{node['id']}.result"] = f"{node['id']}.output"
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def _convert_cycle_node_position(self, node_id: str, position: dict):
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for node in self.origin_nodes:
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@@ -184,7 +192,7 @@ class DifyAdapter(BasePlatformAdapter, DifyConverter):
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type=ExceptionType.NODE,
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node_id=node["id"],
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node_name=node["data"]["title"],
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detail=f"node type {node_type} is unsupported",
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detail=f"node type {node_type if node_type else 'notes'} is unsupported",
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))
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return converter(node)
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except Exception as e:
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@@ -320,7 +320,7 @@ class GraphBuilder:
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# Used later to determine which branch to take based on the node's output
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# Assumes node output `node.<node_id>.output` matches the edge's label
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# For example, if node.123.output == 'CASE1', take the branch labeled 'CASE1'
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related_edge[idx]['condition'] = f"node.{node_id}.output == '{related_edge[idx]['label']}'"
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related_edge[idx]['condition'] = f"node['{node_id}']['output'] == '{related_edge[idx]['label']}'"
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if node_instance:
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# Wrap node's run method to avoid closure issues
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@@ -158,18 +158,36 @@ class WorkflowExecutor:
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full_content += self.variable_pool.get_value(f"{end_id}.output", default="", strict=False)
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# Append messages for user and assistant
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result["messages"].extend(
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[
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{
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"role": "user",
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"content": input_data.get("message", '')
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},
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{
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"role": "assistant",
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"content": full_content
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}
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]
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)
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if input_data.get("files"):
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result["messages"].extend(
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[
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{
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"role": "user",
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"content": input_data.get("message", '')
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},
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{
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"role": "user",
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"content": input_data.get("files")
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},
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{
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"role": "assistant",
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"content": full_content
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}
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]
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)
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else:
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result["messages"].extend(
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[
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{
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"role": "user",
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"content": input_data.get("message", '')
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},
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{
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"role": "assistant",
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"content": full_content
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}
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]
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)
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# Calculate elapsed time
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end_time = datetime.datetime.now()
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elapsed_time = (end_time - start_time).total_seconds()
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@@ -308,18 +326,36 @@ class WorkflowExecutor:
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elapsed_time = (end_time - start_time).total_seconds()
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# Append messages for user and assistant
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result["messages"].extend(
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[
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{
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"role": "user",
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"content": input_data.get("message", '')
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},
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{
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"role": "assistant",
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"content": full_content
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}
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]
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)
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if input_data.get("files"):
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result["messages"].extend(
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[
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{
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"role": "user",
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"content": input_data.get("message", '')
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},
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{
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"role": "user",
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"content": input_data.get("files")
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},
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{
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"role": "assistant",
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"content": full_content
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}
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]
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)
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else:
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result["messages"].extend(
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[
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{
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"role": "user",
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"content": input_data.get("message", '')
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},
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{
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"role": "assistant",
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"content": full_content
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}
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]
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)
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logger.info(
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f"Workflow execution completed (streaming), "
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f"elapsed: {elapsed_time:.2f}ms, execution_id: {self.execution_context.execution_id}"
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@@ -85,20 +85,20 @@ class BaseNodeConfig(BaseModel):
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- tags: 节点标签(用于分类和搜索)
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"""
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name: str | None = Field(
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default=None,
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description="节点名称(显示名称),如果不设置则使用节点 ID"
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)
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description: str | None = Field(
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default=None,
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description="节点描述,说明节点的作用"
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)
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tags: list[str] = Field(
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default_factory=list,
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description="节点标签,用于分类和搜索"
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)
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# name: str | None = Field(
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# default=None,
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# description="节点名称(显示名称),如果不设置则使用节点 ID"
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# )
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#
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# description: str | None = Field(
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# default=None,
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# description="节点描述,说明节点的作用"
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# )
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#
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# tags: list[str] = Field(
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# default_factory=list,
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# description="节点标签,用于分类和搜索"
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# )
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class Config:
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"""Pydantic 配置"""
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@@ -617,10 +617,19 @@ class BaseNode(ABC):
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return variable_pool.has(selector)
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@staticmethod
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async def process_message(provider: str, content: str | FileObject, enable_file=False) -> dict | str | None:
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async def process_message(provider: str, content: str | dict | FileObject, enable_file=False) -> list | str | None:
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if isinstance(content, dict):
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content = FileObject(
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type=content.get("type"),
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url=content.get("url"),
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transfer_method=content.get("transfer_method"),
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origin_file_type=content.get("origin_file_type"),
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file_id=content.get("file_id"),
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is_file=True
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)
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if isinstance(content, str):
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if enable_file:
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return {"text": content}
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return [{"text": content}]
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return content
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elif isinstance(content, FileObject):
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@@ -639,8 +648,8 @@ class BaseNode(ABC):
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)
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if message:
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content.content_cache[provider] = message[0]
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return message[0]
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content.content_cache[provider] = message
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return message
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return None
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raise TypeError(f'Unexpect input value type - {type(content)}')
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@@ -151,23 +151,23 @@ class LLMNode(BaseNode):
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if role == "system":
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messages.append({
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"role": "system",
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"content": content
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"content": await self.process_message(provider, content, self.typed_config.vision)
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})
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elif role in ["user", "human"]:
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messages.append({
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"role": "user",
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"content": content
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"content": await self.process_message(provider, content, self.typed_config.vision)
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})
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elif role in ["ai", "assistant"]:
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messages.append({
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"role": "assistant",
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"content": content
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"content": await self.process_message(provider, content, self.typed_config.vision)
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})
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else:
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logger.warning(f"未知的消息角色: {role},默认使用 user")
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messages.append({
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"role": "user",
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"content": content
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"content": await self.process_message(provider, content, self.typed_config.vision)
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})
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if self.typed_config.vision_input and self.typed_config.vision:
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@@ -176,14 +176,28 @@ class LLMNode(BaseNode):
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for file in files.value:
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content = await self.process_message(provider, file.value, self.typed_config.vision)
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if content:
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file_content.append(content)
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file_content.extend(content)
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if messages and messages[-1]["role"] == 'user':
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messages[-1]['content'] = [messages[-1]["content"]] + file_content
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messages[-1]['content'] = messages[-1]["content"] + file_content
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else:
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messages.append({"role": "user", "content": file_content})
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if self.typed_config.memory.enable:
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messages = messages[:-1] + state["messages"][-self.typed_config.memory.window_size:] + messages[-1:]
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history_message = []
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for message in state["messages"][-self.typed_config.memory.window_size:]:
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if isinstance(message["content"], list):
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file_content = []
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for file in message["content"]:
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content = await self.process_message(provider, file, self.typed_config.vision)
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if content:
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file_content.extend(content)
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history_message.append(
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{"role": message["role"], "content": file_content}
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)
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else:
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message["content"] = await self.process_message(provider, message["content"], self.typed_config.vision)
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history_message.append(message)
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messages = messages[:-1] + history_message + messages[-1:]
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self.messages = messages
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else:
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# 使用简单的 prompt 格式(向后兼容)
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