feat: knowledge pipeline (#25360)

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api/core/workflow/nodes/enums.py

@@ -1,37 +0,0 @@
-from enum import StrEnum
-
-
-class NodeType(StrEnum):
-    START = "start"
-    END = "end"
-    ANSWER = "answer"
-    LLM = "llm"
-    KNOWLEDGE_RETRIEVAL = "knowledge-retrieval"
-    IF_ELSE = "if-else"
-    CODE = "code"
-    TEMPLATE_TRANSFORM = "template-transform"
-    QUESTION_CLASSIFIER = "question-classifier"
-    HTTP_REQUEST = "http-request"
-    TOOL = "tool"
-    VARIABLE_AGGREGATOR = "variable-aggregator"
-    LEGACY_VARIABLE_AGGREGATOR = "variable-assigner"  # TODO: Merge this into VARIABLE_AGGREGATOR in the database.
-    LOOP = "loop"
-    LOOP_START = "loop-start"
-    LOOP_END = "loop-end"
-    ITERATION = "iteration"
-    ITERATION_START = "iteration-start"  # Fake start node for iteration.
-    PARAMETER_EXTRACTOR = "parameter-extractor"
-    VARIABLE_ASSIGNER = "assigner"
-    DOCUMENT_EXTRACTOR = "document-extractor"
-    LIST_OPERATOR = "list-operator"
-    AGENT = "agent"
-
-
-class ErrorStrategy(StrEnum):
-    FAIL_BRANCH = "fail-branch"
-    DEFAULT_VALUE = "default-value"
-
-
-class FailBranchSourceHandle(StrEnum):
-    FAILED = "fail-branch"
-    SUCCESS = "success-branch"