Merge #78 into develop from feature/20251219_myh

Merge branch 'develop' into feature/20251219_myh

* feature/20251219_myh: (8 commits squashed)

  - feat(workflow): update reranker model configuration for knowledge base retrieval

  - fix(workflow): fix output issue in parameter extraction node

  - fix(workflow): fix output issue in parameter extraction node

  - feat(workflow): add user prompt to parameter extraction node

  - perf(workflow): change grouped variable input to key-value format in variable aggregator

  - feat(workflow): Add new cycle node for iterative workflow execution
    
    - Introduce a new Loop/Iteration node in the workflow engine.
    - Supports both conditional loops and iteration over lists.
    - Allows parallel execution and flattening of iteration outputs.
    - Maintains runtime state, node outputs, and loop variables for downstream nodes.
    - Enhances workflow flexibility for complex, repeated operations.

  - Merge branch 'develop' into feature/20251219_myh
    
    # Conflicts:
    #	api/app/core/workflow/nodes/configs.py
    #	api/app/core/workflow/nodes/node_factory.py

  - feat(workflow): Add new cycle node for iterative workflow execution
    
    - Introduce a new Loop/Iteration node in the workflow engine.
    - Supports both conditional loops and iteration over lists.
    - Allows parallel execution and flattening of iteration outputs.
    - Maintains runtime state, node outputs, and loop variables for downstream nodes.
    - Enhances workflow flexibility for complex, repeated operations.

Signed-off-by: Eternity <1533512157@qq.com>
Reviewed-by: zhuwenhui5566@163.com <zhuwenhui5566@163.com>
Reviewed-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com>
Merged-by: aliyun6762716068 <accounts_68cb7c6b61f5dcc4200d6251@mail.teambition.com>

CR-link: https://codeup.aliyun.com/redbearai/python/redbear-mem-open/change/78

api/app/core/models/rerank.py

@@ -1,4 +1,3 @@
-
 from typing import Any, Dict, List, Optional, Sequence, Type, Union
 from copy import deepcopy
 from urllib.parse import urlparse
@@ -8,8 +7,10 @@ from langchain_core.callbacks import Callbacks
 from app.core.models.base import RedBearModelConfig, get_provider_rerank_class, RedBearModelFactory
 from app.models import ModelProvider
 
+
 class RedBearRerank(BaseDocumentCompressor):
     """ Rerank → 作为 Runnable 插入任意 LCEL 链"""
+
     def __init__(self, config: RedBearModelConfig):
         self._model = self._create_model(config)
         self._config = config
@@ -22,10 +23,10 @@ class RedBearRerank(BaseDocumentCompressor):
         return model_class(**model_params)
 
     def compress_documents(
-        self,
-        documents: Sequence[Document],
-        query: str,
-        callbacks: Optional[Callbacks] = None,
+            self,
+            documents: Sequence[Document],
+            query: str,
+            callbacks: Optional[Callbacks] = None,
     ) -> Sequence[Document]:
         """
         Compress documents using Jina's Rerank API.
@@ -46,17 +47,17 @@ class RedBearRerank(BaseDocumentCompressor):
             compressed.append(doc_copy)
         return compressed
 
-
     def rerank(
-        self,
-        documents: Sequence[Union[str, Document, dict]],
-        query: str,
-        *,
-        top_n: Optional[int] = -1,
-    ) -> List[Dict[str, Any]]:   
-        provider = self._config.provider.lower()      
-        if provider in [ModelProvider.XINFERENCE, ModelProvider.GPUSTACK] :
+            self,
+            documents: Sequence[Union[str, Document, dict]],
+            query: str,
+            *,
+            top_n: Optional[int] = -1,
+    ) -> List[Dict[str, Any]]:
+        provider = self._config.provider.lower()
+        if provider in [ModelProvider.XINFERENCE, ModelProvider.GPUSTACK]:
             import langchain_community.document_compressors.jina_rerank as jina_mod
+
             # 规范化：如果不以 /v1/rerank 结尾，则补齐；若已以 /v1 结尾，则补 /rerank
             def _normalize_jina_base(base_url: Optional[str]) -> Optional[str]:
                 if not base_url:
@@ -73,8 +74,7 @@ class RedBearRerank(BaseDocumentCompressor):
                 # 设置完整的 rerank 端点，例如 http://host:port/v1/rerank
                 jina_mod.JINA_API_URL = jina_base
             from langchain_community.document_compressors import JinaRerank
-            model_instance : JinaRerank = self._model
-            return model_instance.rerank(documents = documents, query = query, top_n=top_n)     
+            model_instance: JinaRerank = self._model
+            return model_instance.rerank(documents=documents, query=query, top_n=top_n)
         else:
             raise ValueError(f"不支持的模型提供商: {provider}")
-