Refa: Update LLM stream response type to Generator (#9420 )

### What problem does this PR solve? Change return type of _generate_streamly from str to Generator[str, None, None] to properly type hint streaming responses. ### Type of change - [x] Refactoring
Fix:valueERROR when file is optional but not exist value (#9414 )
2026-02-02 16:45:08 +08:00 · 2025-08-12 18:05:52 +08:00 · 2025-08-12 17:39:03 +08:00 · 2025-08-12 16:19:23 +08:00 · 2025-08-12 15:55:04 +08:00 · 2025-08-12 15:54:30 +08:00
47 changed files with 1784 additions and 933 deletions
--- a/agent/component/begin.py
+++ b/agent/component/begin.py
@ -39,7 +39,10 @@ class Begin(UserFillUp):
    def _invoke(self, **kwargs):
        for k, v in kwargs.get("inputs", {}).items():
            if isinstance(v, dict) and v.get("type", "").lower().find("file") >=0:
-                v = self._canvas.get_files([v["value"]])
+                if v.get("optional") and v.get("value", None) is None:
+                    v = None
+                else:
+                    v = self._canvas.get_files([v["value"]])
            else:
                v = v.get("value")
            self.set_output(k, v)
--- a/agent/component/invoke.py
+++ b/agent/component/invoke.py
@ -57,7 +57,7 @@ class Invoke(ComponentBase, ABC):
    def _invoke(self, **kwargs):
        args = {}
        for para in self._param.variables:
-            if para.get("value") is not None:
+            if para.get("value"):
                args[para["key"]] = para["value"]
            else:
                args[para["key"]] = self._canvas.get_variable_value(para["ref"])
@ -139,4 +139,4 @@ class Invoke(ComponentBase, ABC):
        assert False, self.output()

    def thoughts(self) -> str:
-        return "Waiting for the server respond..."
+        return "Waiting for the server respond..."
--- a/agent/component/llm.py
+++ b/agent/component/llm.py
@ -17,7 +17,7 @@ import json
 import logging
 import os
 import re
-from typing import Any
+from typing import Any, Generator

 import json_repair
 from copy import deepcopy
@ -154,7 +154,7 @@ class LLM(ComponentBase):
            return self.chat_mdl.chat(msg[0]["content"], msg[1:], self._param.gen_conf(), **kwargs)
        return self.chat_mdl.chat(msg[0]["content"], msg[1:], self._param.gen_conf(), images=self.imgs, **kwargs)

-    def _generate_streamly(self, msg:list[dict], **kwargs) -> str:
+    def _generate_streamly(self, msg:list[dict], **kwargs) -> Generator[str, None, None]:
        ans = ""
        last_idx = 0
        endswith_think = False
--- a/agent/tools/exesql.py
+++ b/agent/tools/exesql.py
@ -14,6 +14,7 @@
 #  limitations under the License.
 #
 import os
+import re
 from abc import ABC
 import pandas as pd
 import pymysql
@ -109,7 +110,7 @@ class ExeSQL(ToolBase, ABC):
            single_sql = single_sql.replace('```','')
            if not single_sql:
                continue
-
+            single_sql = re.sub(r"\[ID:[0-9]+\]", "", single_sql)
            cursor.execute(single_sql)
            if cursor.rowcount == 0:
                sql_res.append({"content": "No record in the database!"})
--- a/api/apps/canvas_app.py
+++ b/api/apps/canvas_app.py
@ -90,7 +90,7 @@ def save():
                data=False, message='Only owner of canvas authorized for this operation.',
                code=RetCode.OPERATING_ERROR)
        UserCanvasService.update_by_id(req["id"], req)
-    # save version    
+    # save version
    UserCanvasVersionService.insert( user_canvas_id=req["id"], dsl=req["dsl"], title="{0}_{1}".format(req["title"], time.strftime("%Y_%m_%d_%H_%M_%S")))
    UserCanvasVersionService.delete_all_versions(req["id"])
    return get_json_result(data=req)
@ -347,7 +347,7 @@ def test_db_connect():
        if req["db_type"] != 'mssql':
            db.connect()
        db.close()
-        
+
        return get_json_result(data="Database Connection Successful!")
    except Exception as e:
        return server_error_response(e)
@ -369,7 +369,7 @@ def getlistversion(canvas_id):
@login_required
 def getversion( version_id):
    try:
-      
+
        e, version = UserCanvasVersionService.get_by_id(version_id)
        if version:
            return get_json_result(data=version.to_dict())
@ -379,7 +379,7 @@ def getversion( version_id):

@manager.route('/listteam', methods=['GET'])  # noqa: F821
@login_required
-def list_kbs():
+def list_canvas():
    keywords = request.args.get("keywords", "")
    page_number = int(request.args.get("page", 1))
    items_per_page = int(request.args.get("page_size", 150))
@ -387,10 +387,10 @@ def list_kbs():
    desc = request.args.get("desc", True)
    try:
        tenants = TenantService.get_joined_tenants_by_user_id(current_user.id)
-        kbs, total = UserCanvasService.get_by_tenant_ids(
+        canvas, total = UserCanvasService.get_by_tenant_ids(
            [m["tenant_id"] for m in tenants], current_user.id, page_number,
            items_per_page, orderby, desc, keywords)
-        return get_json_result(data={"kbs": kbs, "total": total})
+        return get_json_result(data={"canvas": canvas, "total": total})
    except Exception as e:
        return server_error_response(e)

--- a/api/apps/dialog_app.py
+++ b/api/apps/dialog_app.py
@ -51,6 +51,7 @@ def set_dialog():
    similarity_threshold = req.get("similarity_threshold", 0.1)
    vector_similarity_weight = req.get("vector_similarity_weight", 0.3)
    llm_setting = req.get("llm_setting", {})
+    meta_data_filter = req.get("meta_data_filter", {})
    prompt_config = req["prompt_config"]

    if not is_create:
@ -85,6 +86,7 @@ def set_dialog():
                "llm_id": llm_id,
                "llm_setting": llm_setting,
                "prompt_config": prompt_config,
+                "meta_data_filter": meta_data_filter,
                "top_n": top_n,
                "top_k": top_k,
                "rerank_id": rerank_id,
--- a/api/apps/document_app.py
+++ b/api/apps/document_app.py
@ -681,6 +681,11 @@ def set_meta():
        return get_json_result(data=False, message="No authorization.", code=settings.RetCode.AUTHENTICATION_ERROR)
    try:
        meta = json.loads(req["meta"])
+        if not isinstance(meta, dict):
+            return get_json_result(data=False, message="Only dictionary type supported.", code=settings.RetCode.ARGUMENT_ERROR)
+        for k,v in meta.items():
+            if not isinstance(v, str) and not isinstance(v, int) and not isinstance(v, float):
+                return get_json_result(data=False, message=f"The type is not supported: {v}", code=settings.RetCode.ARGUMENT_ERROR)
    except Exception as e:
        return get_json_result(data=False, message=f"Json syntax error: {e}", code=settings.RetCode.ARGUMENT_ERROR)
    if not isinstance(meta, dict):
--- a/api/apps/kb_app.py
+++ b/api/apps/kb_app.py
@ -351,6 +351,7 @@ def knowledge_graph(kb_id):
            obj["graph"]["edges"] = sorted(filtered_edges, key=lambda x: x.get("weight", 0), reverse=True)[:128]
    return get_json_result(data=obj)

+
@manager.route('/<kb_id>/knowledge_graph', methods=['DELETE'])  # noqa: F821
@login_required
 def delete_knowledge_graph(kb_id):
@ -364,3 +365,17 @@ def delete_knowledge_graph(kb_id):
    settings.docStoreConn.delete({"knowledge_graph_kwd": ["graph", "subgraph", "entity", "relation"]}, search.index_name(kb.tenant_id), kb_id)

    return get_json_result(data=True)
+
+
+@manager.route("/get_meta", methods=["GET"])  # noqa: F821
+@login_required
+def get_meta():
+    kb_ids = request.args.get("kb_ids", "").split(",")
+    for kb_id in kb_ids:
+        if not KnowledgebaseService.accessible(kb_id, current_user.id):
+            return get_json_result(
+                data=False,
+                message='No authorization.',
+                code=settings.RetCode.AUTHENTICATION_ERROR
+            )
+    return get_json_result(data=DocumentService.get_meta_by_kbs(kb_ids))
--- a/api/apps/llm_app.py
+++ b/api/apps/llm_app.py
@ -57,6 +57,7 @@ def set_api_key():
    # test if api key works
    chat_passed, embd_passed, rerank_passed = False, False, False
    factory = req["llm_factory"]
+    extra = {"provider": factory}
    msg = ""
    for llm in LLMService.query(fid=factory):
        if not embd_passed and llm.model_type == LLMType.EMBEDDING.value:
@ -73,7 +74,7 @@ def set_api_key():
        elif not chat_passed and llm.model_type == LLMType.CHAT.value:
            assert factory in ChatModel, f"Chat model from {factory} is not supported yet."
            mdl = ChatModel[factory](
-                req["api_key"], llm.llm_name, base_url=req.get("base_url"))
+                req["api_key"], llm.llm_name, base_url=req.get("base_url"), **extra)
            try:
                m, tc = mdl.chat(None, [{"role": "user", "content": "Hello! How are you doing!"}],
                                 {"temperature": 0.9, 'max_tokens': 50})
@ -204,6 +205,7 @@ def add_llm():

    msg = ""
    mdl_nm = llm["llm_name"].split("___")[0]
+    extra = {"provider": factory}
    if llm["model_type"] == LLMType.EMBEDDING.value:
        assert factory in EmbeddingModel, f"Embedding model from {factory} is not supported yet."
        mdl = EmbeddingModel[factory](
@ -221,7 +223,8 @@ def add_llm():
        mdl = ChatModel[factory](
            key=llm['api_key'],
            model_name=mdl_nm,
-            base_url=llm["api_base"]
+            base_url=llm["api_base"],
+            **extra,
        )
        try:
            m, tc = mdl.chat(None, [{"role": "user", "content": "Hello! How are you doing!"}], {
@ -312,12 +315,12 @@ def delete_factory():
 def my_llms():
    try:
        include_details = request.args.get('include_details', 'false').lower() == 'true'
-        
+
        if include_details:
            res = {}
            objs = TenantLLMService.query(tenant_id=current_user.id)
            factories = LLMFactoriesService.query(status=StatusEnum.VALID.value)
-            
+
            for o in objs:
                o_dict = o.to_dict()
                factory_tags = None
@ -325,13 +328,13 @@ def my_llms():
                    if f.name == o_dict["llm_factory"]:
                        factory_tags = f.tags
                        break
-                        
+
                if o_dict["llm_factory"] not in res:
                    res[o_dict["llm_factory"]] = {
                        "tags": factory_tags,
                        "llm": []
                    }
-                
+
                res[o_dict["llm_factory"]]["llm"].append({
                    "type": o_dict["model_type"],
                    "name": o_dict["llm_name"],
@ -352,7 +355,7 @@ def my_llms():
                    "name": o["llm_name"],
                    "used_token": o["used_tokens"]
                })
-        
+
        return get_json_result(data=res)
    except Exception as e:
        return server_error_response(e)
--- a/api/db/db_models.py
+++ b/api/db/db_models.py
@ -744,6 +744,7 @@ class Dialog(DataBaseModel):
        null=False,
        default={"system": "", "prologue": "Hi! I'm your assistant, what can I do for you?", "parameters": [], "empty_response": "Sorry! No relevant content was found in the knowledge base!"},
    )
+    meta_data_filter = JSONField(null=True, default={})

    similarity_threshold = FloatField(default=0.2)
    vector_similarity_weight = FloatField(default=0.3)
@ -1015,4 +1016,8 @@ def migrate_db():
        migrate(migrator.add_column("api_4_conversation", "errors", TextField(null=True, help_text="errors")))
    except Exception:
        pass
+    try:
+        migrate(migrator.add_column("dialog", "meta_data_filter", JSONField(null=True, default={})))
+    except Exception:
+        pass
    logging.disable(logging.NOTSET)
--- a/api/db/services/dialog_service.py
+++ b/api/db/services/dialog_service.py
@ -30,6 +30,7 @@ from api import settings
 from api.db import LLMType, ParserType, StatusEnum
 from api.db.db_models import DB, Dialog
 from api.db.services.common_service import CommonService
+from api.db.services.document_service import DocumentService
 from api.db.services.knowledgebase_service import KnowledgebaseService
 from api.db.services.langfuse_service import TenantLangfuseService
 from api.db.services.llm_service import LLMBundle, TenantLLMService
@ -38,6 +39,7 @@ from rag.app.resume import forbidden_select_fields4resume
 from rag.app.tag import label_question
 from rag.nlp.search import index_name
 from rag.prompts import chunks_format, citation_prompt, cross_languages, full_question, kb_prompt, keyword_extraction, message_fit_in
+from rag.prompts.prompts import gen_meta_filter
 from rag.utils import num_tokens_from_string, rmSpace
 from rag.utils.tavily_conn import Tavily

@ -250,6 +252,46 @@ def repair_bad_citation_formats(answer: str, kbinfos: dict, idx: set):
    return answer, idx


+def meta_filter(metas: dict, filters: list[dict]):
+    doc_ids = []
+    def filter_out(v2docs, operator, value):
+        nonlocal doc_ids
+        for input,docids in v2docs.items():
+            try:
+                input = float(input)
+                value = float(value)
+            except Exception:
+                input = str(input)
+                value = str(value)
+
+            for conds in [
+                    (operator == "contains", str(value).lower() in str(input).lower()),
+                    (operator == "not contains", str(value).lower() not in str(input).lower()),
+                    (operator == "start with", str(input).lower().startswith(str(value).lower())),
+                    (operator == "end with", str(input).lower().endswith(str(value).lower())),
+                    (operator == "empty", not input),
+                    (operator == "not empty", input),
+                    (operator == "=", input == value),
+                    (operator == "≠", input != value),
+                    (operator == ">", input > value),
+                    (operator == "<", input < value),
+                    (operator == "≥", input >= value),
+                    (operator == "≤", input <= value),
+                ]:
+                try:
+                    if all(conds):
+                        doc_ids.extend(docids)
+                except Exception:
+                    pass
+
+    for k, v2docs in metas.items():
+        for f in filters:
+            if k != f["key"]:
+                continue
+            filter_out(v2docs, f["op"], f["value"])
+    return doc_ids
+
+
 def chat(dialog, messages, stream=True, **kwargs):
    assert messages[-1]["role"] == "user", "The last content of this conversation is not from user."
    if not dialog.kb_ids and not dialog.prompt_config.get("tavily_api_key"):
@ -287,9 +329,10 @@ def chat(dialog, messages, stream=True, **kwargs):

    retriever = settings.retrievaler
    questions = [m["content"] for m in messages if m["role"] == "user"][-3:]
-    attachments = kwargs["doc_ids"].split(",") if "doc_ids" in kwargs else None
+    attachments = kwargs["doc_ids"].split(",") if "doc_ids" in kwargs else []
    if "doc_ids" in messages[-1]:
        attachments = messages[-1]["doc_ids"]
+
    prompt_config = dialog.prompt_config
    field_map = KnowledgebaseService.get_field_map(dialog.kb_ids)
    # try to use sql if field mapping is good to go
@ -316,6 +359,14 @@ def chat(dialog, messages, stream=True, **kwargs):
    if prompt_config.get("cross_languages"):
        questions = [cross_languages(dialog.tenant_id, dialog.llm_id, questions[0], prompt_config["cross_languages"])]

+    if dialog.meta_data_filter:
+        metas = DocumentService.get_meta_by_kbs(dialog.kb_ids)
+        if dialog.meta_data_filter.get("method") == "auto":
+            filters = gen_meta_filter(chat_mdl, metas, questions[-1])
+            attachments.extend(meta_filter(metas, filters))
+        elif dialog.meta_data_filter.get("method") == "manual":
+            attachments.extend(meta_filter(metas, dialog.meta_data_filter["manual"]))
+
    if prompt_config.get("keyword", False):
        questions[-1] += keyword_extraction(chat_mdl, questions[-1])

--- a/api/db/services/document_service.py
+++ b/api/db/services/document_service.py
@ -243,7 +243,7 @@ class DocumentService(CommonService):
        from api.db.services.task_service import TaskService
        cls.clear_chunk_num(doc.id)
        try:
-            TaskService.filter_delete(Task.doc_id == doc.id)
+            TaskService.filter_delete([Task.doc_id == doc.id])
            page = 0
            page_size = 1000
            all_chunk_ids = []
@ -574,6 +574,25 @@ class DocumentService(CommonService):
    def update_meta_fields(cls, doc_id, meta_fields):
        return cls.update_by_id(doc_id, {"meta_fields": meta_fields})

+    @classmethod
+    @DB.connection_context()
+    def get_meta_by_kbs(cls, kb_ids):
+        fields = [
+            cls.model.id,
+            cls.model.meta_fields,
+        ]
+        meta = {}
+        for r in cls.model.select(*fields).where(cls.model.kb_id.in_(kb_ids)):
+            doc_id = r.id
+            for k,v in r.meta_fields.items():
+                if k not in meta:
+                    meta[k] = {}
+                v = str(v)
+                if v not in meta[k]:
+                    meta[k][v] = []
+                meta[k][v].append(doc_id)
+        return meta
+
    @classmethod
    @DB.connection_context()
    def update_progress(cls):
--- a/api/db/services/llm_service.py
+++ b/api/db/services/llm_service.py
@ -13,6 +13,7 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 #
+import inspect
 import logging
 import re
 from functools import partial
@ -141,6 +142,7 @@ class TenantLLMService(CommonService):
    @DB.connection_context()
    def model_instance(cls, tenant_id, llm_type, llm_name=None, lang="Chinese", **kwargs):
        model_config = TenantLLMService.get_model_config(tenant_id, llm_type, llm_name)
+        kwargs.update({"provider": model_config["llm_factory"]})
        if llm_type == LLMType.EMBEDDING.value:
            if model_config["llm_factory"] not in EmbeddingModel:
                return
@ -376,7 +378,24 @@ class LLMBundle:
            return txt

        return txt[last_think_end + len("</think>") :]
+    
+    @staticmethod
+    def _clean_param(chat_partial, **kwargs):
+        func = chat_partial.func
+        sig = inspect.signature(func)
+        keyword_args = []
+        support_var_args = False
+        for param in sig.parameters.values():
+            if param.kind == inspect.Parameter.VAR_KEYWORD or param.kind == inspect.Parameter.VAR_POSITIONAL:
+                support_var_args = True
+            elif param.kind == inspect.Parameter.KEYWORD_ONLY:
+                keyword_args.append(param.name)

+        use_kwargs = kwargs
+        if not support_var_args:
+            use_kwargs = {k: v for k, v in kwargs.items() if k in keyword_args}
+        return use_kwargs
+        
    def chat(self, system: str, history: list, gen_conf: dict = {}, **kwargs) -> str:
        if self.langfuse:
            generation = self.langfuse.start_generation(trace_context=self.trace_context, name="chat", model=self.llm_name, input={"system": system, "history": history})
@ -384,8 +403,9 @@ class LLMBundle:
        chat_partial = partial(self.mdl.chat, system, history, gen_conf)
        if self.is_tools and self.mdl.is_tools:
            chat_partial = partial(self.mdl.chat_with_tools, system, history, gen_conf)
-
-        txt, used_tokens = chat_partial(**kwargs)
+            
+        use_kwargs = self._clean_param(chat_partial, **kwargs)
+        txt, used_tokens = chat_partial(**use_kwargs)
        txt = self._remove_reasoning_content(txt)

        if not self.verbose_tool_use:
@ -409,8 +429,8 @@ class LLMBundle:
        total_tokens = 0
        if self.is_tools and self.mdl.is_tools:
            chat_partial = partial(self.mdl.chat_streamly_with_tools, system, history, gen_conf)
-
-        for txt in chat_partial(**kwargs):
+        use_kwargs = self._clean_param(chat_partial, **kwargs)
+        for txt in chat_partial(**use_kwargs):
            if isinstance(txt, int):
                total_tokens = txt
                if self.langfuse:
--- a/deepdoc/parser/excel_parser.py
+++ b/deepdoc/parser/excel_parser.py
@ -12,6 +12,7 @@
 #

 import logging
+import re
 import sys
 from io import BytesIO

@ -20,6 +21,8 @@ from openpyxl import Workbook, load_workbook

 from rag.nlp import find_codec

+# copied from `/openpyxl/cell/cell.py`
+ILLEGAL_CHARACTERS_RE = re.compile(r'[\000-\010]|[\013-\014]|[\016-\037]')

 class RAGFlowExcelParser:

@ -50,13 +53,29 @@ class RAGFlowExcelParser:
            logging.info(f"openpyxl load error: {e}, try pandas instead")
            try:
                file_like_object.seek(0)
-                df = pd.read_excel(file_like_object)
-                return RAGFlowExcelParser._dataframe_to_workbook(df)
+                try:
+                    df = pd.read_excel(file_like_object)
+                    return RAGFlowExcelParser._dataframe_to_workbook(df)
+                except Exception as ex:
+                    logging.info(f"pandas with default engine load error: {ex}, try calamine instead")
+                    file_like_object.seek(0)
+                    df = pd.read_excel(file_like_object, engine='calamine')
+                    return RAGFlowExcelParser._dataframe_to_workbook(df)
            except Exception as e_pandas:
                raise Exception(f"pandas.read_excel error: {e_pandas}, original openpyxl error: {e}")

+    @staticmethod
+    def _clean_dataframe(df: pd.DataFrame):
+        def clean_string(s):
+            if isinstance(s, str):
+                return ILLEGAL_CHARACTERS_RE.sub(" ", s)
+            return s
+
+        return df.apply(lambda col: col.map(clean_string))
+
    @staticmethod
    def _dataframe_to_workbook(df):
+        df = RAGFlowExcelParser._clean_dataframe(df)
        wb = Workbook()
        ws = wb.active
        ws.title = "Data"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -24,7 +24,7 @@ dependencies = [
    "chardet==5.2.0",
    "cn2an==0.5.22",
    "cohere==5.6.2",
-    "Crawl4AI==0.3.8",
+    "Crawl4AI>=0.3.8",
    "dashscope==1.20.11",
    "deepl==1.18.0",
    "demjson3==3.0.6",
@ -43,7 +43,7 @@ dependencies = [
    "groq==0.9.0",
    "hanziconv==0.3.2",
    "html-text==0.6.2",
-    "httpx==0.27.0",
+    "httpx==0.27.2",
    "huggingface-hub>=0.25.0,<0.26.0",
    "infinity-sdk==0.6.0-dev4",
    "infinity-emb>=0.0.66,<0.0.67",
@ -58,7 +58,7 @@ dependencies = [
    "ollama==0.2.1",
    "onnxruntime==1.19.2; sys_platform == 'darwin' or platform_machine != 'x86_64'",
    "onnxruntime-gpu==1.19.2; sys_platform != 'darwin' and platform_machine == 'x86_64'",
-    "openai==1.45.0",
+    "openai>=1.45.0",
    "opencv-python==4.10.0.84",
    "opencv-python-headless==4.10.0.84",
    "openpyxl>=3.1.0,<4.0.0",
@ -128,6 +128,8 @@ dependencies = [
    "opensearch-py==2.7.1",
    "pluginlib==0.9.4",
    "click>=8.1.8",
+    "python-calamine>=0.4.0",
+    "litellm>=1.74.15.post1",
 ]

 [project.optional-dependencies]
--- a/rag/llm/init.py
+++ b/rag/llm/init.py
@ -19,6 +19,48 @@
 import importlib
 import inspect

+from strenum import StrEnum
+
+
+class SupportedLiteLLMProvider(StrEnum):
+    Tongyi_Qianwen = "Tongyi-Qianwen"
+    Dashscope = "Dashscope"
+    Bedrock = "Bedrock"
+    Moonshot = "Moonshot"
+    xAI = "xAI"
+    DeepInfra = "DeepInfra"
+    Groq = "Groq"
+    Cohere = "Cohere"
+    Gemini = "Gemini"
+    DeepSeek = "DeepSeek"
+    Nvidia = "NVIDIA"
+    TogetherAI = "TogetherAI"
+    Anthropic = "Anthropic"
+
+
+FACTORY_DEFAULT_BASE_URL = {
+    SupportedLiteLLMProvider.Tongyi_Qianwen: "https://dashscope.aliyuncs.com/compatible-mode/v1",
+    SupportedLiteLLMProvider.Dashscope: "https://dashscope.aliyuncs.com/compatible-mode/v1",
+    SupportedLiteLLMProvider.Moonshot: "https://api.moonshot.cn/v1",
+}
+
+
+LITELLM_PROVIDER_PREFIX = {
+    SupportedLiteLLMProvider.Tongyi_Qianwen: "dashscope/",
+    SupportedLiteLLMProvider.Dashscope: "dashscope/",
+    SupportedLiteLLMProvider.Bedrock: "bedrock/",
+    SupportedLiteLLMProvider.Moonshot: "moonshot/",
+    SupportedLiteLLMProvider.xAI: "xai/",
+    SupportedLiteLLMProvider.DeepInfra: "deepinfra/",
+    SupportedLiteLLMProvider.Groq: "groq/",
+    SupportedLiteLLMProvider.Cohere: "",  # don't need a prefix
+    SupportedLiteLLMProvider.Gemini: "gemini/",
+    SupportedLiteLLMProvider.DeepSeek: "deepseek/",
+    SupportedLiteLLMProvider.Nvidia: "nvidia_nim/",
+    SupportedLiteLLMProvider.TogetherAI: "together_ai/",
+    SupportedLiteLLMProvider.Anthropic: "",  # don't need a prefix
+}
+
 ChatModel = globals().get("ChatModel", {})
 CvModel = globals().get("CvModel", {})
 EmbeddingModel = globals().get("EmbeddingModel", {})
@ -26,6 +68,7 @@ RerankModel = globals().get("RerankModel", {})
 Seq2txtModel = globals().get("Seq2txtModel", {})
 TTSModel = globals().get("TTSModel", {})

+
 MODULE_MAPPING = {
    "chat_model": ChatModel,
    "cv_model": CvModel,
@ -42,20 +85,30 @@ for module_name, mapping_dict in MODULE_MAPPING.items():
    module = importlib.import_module(full_module_name)

    base_class = None
+    lite_llm_base_class = None
    for name, obj in inspect.getmembers(module):
-        if inspect.isclass(obj) and name == "Base":
-            base_class = obj
-            break
-    if base_class is None:
-        continue
+        if inspect.isclass(obj):
+            if name == "Base":
+                base_class = obj
+            elif name == "LiteLLMBase":
+                lite_llm_base_class = obj
+                assert hasattr(obj, "_FACTORY_NAME"), "LiteLLMbase should have _FACTORY_NAME field."
+                if hasattr(obj, "_FACTORY_NAME"):
+                    if isinstance(obj._FACTORY_NAME, list):
+                        for factory_name in obj._FACTORY_NAME:
+                            mapping_dict[factory_name] = obj
+                    else:
+                        mapping_dict[obj._FACTORY_NAME] = obj
+
+    if base_class is not None:
+        for _, obj in inspect.getmembers(module):
+            if inspect.isclass(obj) and issubclass(obj, base_class) and obj is not base_class and hasattr(obj, "_FACTORY_NAME"):
+                if isinstance(obj._FACTORY_NAME, list):
+                    for factory_name in obj._FACTORY_NAME:
+                        mapping_dict[factory_name] = obj
+                else:
+                    mapping_dict[obj._FACTORY_NAME] = obj

-    for _, obj in inspect.getmembers(module):
-        if inspect.isclass(obj) and issubclass(obj, base_class) and obj is not base_class and hasattr(obj, "_FACTORY_NAME"):
-            if isinstance(obj._FACTORY_NAME, list):
-                for factory_name in obj._FACTORY_NAME:
-                    mapping_dict[factory_name] = obj
-            else:
-                mapping_dict[obj._FACTORY_NAME] = obj

 __all__ = [
    "ChatModel",
--- a/rag/llm/chat_model.py
+++ b/rag/llm/chat_model.py
--- a/rag/nlp/search.py
+++ b/rag/nlp/search.py
@ -383,8 +383,6 @@ class Dealer:
        vector_column = f"q_{dim}_vec"
        zero_vector = [0.0] * dim
        sim_np = np.array(sim)
-        if doc_ids:
-            similarity_threshold = 0
        filtered_count = (sim_np >= similarity_threshold).sum()    
        ranks["total"] = int(filtered_count) # Convert from np.int64 to Python int otherwise JSON serializable error
        for i in idx:
--- a/rag/prompts/meta_filter.md
+++ b/rag/prompts/meta_filter.md
@ -0,0 +1,53 @@
+You are a metadata filtering condition generator. Analyze the user's question and available document metadata to output a JSON array of filter objects. Follow these rules:
+
+1. **Metadata Structure**: 
+   - Metadata is provided as JSON where keys are attribute names (e.g., "color"), and values are objects mapping attribute values to document IDs.
+   - Example: 
+     {
+       "color": {"red": ["doc1"], "blue": ["doc2"]},
+       "listing_date": {"2025-07-11": ["doc1"], "2025-08-01": ["doc2"]}
+     }
+
+2. **Output Requirements**:
+   - Always output a JSON array of filter objects
+   - Each object must have:
+        "key": (metadata attribute name),
+        "value": (string value to compare),
+        "op": (operator from allowed list)
+
+3. **Operator Guide**:
+   - Use these operators only: ["contains", "not contains", "start with", "end with", "empty", "not empty", "=", "≠", ">", "<", "≥", "≤"]
+   - Date ranges: Break into two conditions (≥ start_date AND < next_month_start)
+   - Negations: Always use "≠" for exclusion terms ("not", "except", "exclude", "≠")
+   - Implicit logic: Derive unstated filters (e.g., "July" → [≥ YYYY-07-01, < YYYY-08-01])
+
+4. **Processing Steps**:
+   a) Identify ALL filterable attributes in the query (both explicit and implicit)
+   b) For dates:
+        - Infer missing year from current date if needed
+        - Always format dates as "YYYY-MM-DD"
+        - Convert ranges: [≥ start, < end]
+   c) For values: Match EXACTLY to metadata's value keys
+   d) Skip conditions if:
+        - Attribute doesn't exist in metadata
+        - Value has no match in metadata
+
+5. **Example**:
+   - User query: "上市日期七月份的有哪些商品，不要蓝色的"
+   - Metadata: { "color": {...}, "listing_date": {...} }
+   - Output: 
+        [
+          {"key": "listing_date", "value": "2025-07-01", "op": "≥"},
+          {"key": "listing_date", "value": "2025-08-01", "op": "<"},
+          {"key": "color", "value": "blue", "op": "≠"}
+        ]
+
+6. **Final Output**:
+   - ONLY output valid JSON array
+   - NO additional text/explanations
+
+**Current Task**:
+- Today's date: {{current_date}}
+- Available metadata keys: {{metadata_keys}}
+- User query: "{{user_question}}"
+
--- a/rag/prompts/prompts.py
+++ b/rag/prompts/prompts.py
@ -149,6 +149,7 @@ NEXT_STEP = load_prompt("next_step")
 REFLECT = load_prompt("reflect")
 SUMMARY4MEMORY = load_prompt("summary4memory")
 RANK_MEMORY = load_prompt("rank_memory")
+META_FILTER = load_prompt("meta_filter")

 PROMPT_JINJA_ENV = jinja2.Environment(autoescape=False, trim_blocks=True, lstrip_blocks=True)

@ -413,3 +414,20 @@ def rank_memories(chat_mdl, goal:str, sub_goal:str, tool_call_summaries: list[st
    ans = chat_mdl.chat(msg[0]["content"], msg[1:], stop="<|stop|>")
    return re.sub(r"^.*</think>", "", ans, flags=re.DOTALL)

+
+def gen_meta_filter(chat_mdl, meta_data:dict, query: str) -> list:
+    sys_prompt = PROMPT_JINJA_ENV.from_string(META_FILTER).render(
+        current_date=datetime.datetime.today().strftime('%Y-%m-%d'),
+        metadata_keys=json.dumps(meta_data),
+        user_question=query
+    )
+    user_prompt = "Generate filters:"
+    ans = chat_mdl.chat(sys_prompt, [{"role": "user", "content": user_prompt}])
+    ans = re.sub(r"(^.*</think>|```json\n|```\n*$)", "", ans, flags=re.DOTALL)
+    try:
+        ans = json_repair.loads(ans)
+        assert isinstance(ans, list), ans
+        return ans
+    except Exception:
+        logging.exception(f"Loading json failure: {ans}")
+    return []
--- a/rag/svr/task_executor.py
+++ b/rag/svr/task_executor.py
@ -444,7 +444,7 @@ async def embedding(docs, mdl, parser_config=None, callback=None):
        tts = np.concatenate([vts for _ in range(len(tts))], axis=0)
        tk_count += c

-    @timeout(5)
+    @timeout(60)
    def batch_encode(txts):
        nonlocal mdl
        return mdl.encode([truncate(c, mdl.max_length-10) for c in txts])
--- a/rag/utils/s3_conn.py
+++ b/rag/utils/s3_conn.py
@ -190,3 +190,17 @@ class RAGFlowS3:
                self.__open__()
                time.sleep(1)
        return
+
+    @use_prefix_path
+    @use_default_bucket
+    def rm_bucket(self, bucket, *args, **kwargs):
+        for conn in self.conn:
+            try:
+                if not conn.bucket_exists(bucket):
+                    continue
+                for o in conn.list_objects_v2(Bucket=bucket):
+                    conn.delete_object(bucket, o.object_name)
+                conn.delete_bucket(Bucket=bucket)
+                return
+            except Exception as e:
+                logging.error(f"Fail rm {bucket}: " + str(e))
--- a/test/testcases/test_http_api/test_chunk_management_within_dataset/test_update_chunk.py
+++ b/test/testcases/test_http_api/test_chunk_management_within_dataset/test_update_chunk.py
@ -245,4 +245,4 @@ class TestUpdatedChunk:
        delete_documents(HttpApiAuth, dataset_id, {"ids": [document_id]})
        res = update_chunk(HttpApiAuth, dataset_id, document_id, chunk_ids[0])
        assert res["code"] == 102
-        assert res["message"] == f"Can't find this chunk {chunk_ids[0]}"
+        assert res["message"] == f"You don't own the document {document_id}."
--- a/test/testcases/test_http_api/test_dataset_mangement/test_list_datasets.py
+++ b/test/testcases/test_http_api/test_dataset_mangement/test_list_datasets.py
@ -163,9 +163,9 @@ class TestDatasetsList:
        [
            {"orderby": ""},
            {"orderby": "unknown"},
-            ({"orderby": "CREATE_TIME"}, lambda r: (is_sorted(r["data"], "create_time", True))),
-            ({"orderby": "UPDATE_TIME"}, lambda r: (is_sorted(r["data"], "update_time", True))),
-            ({"orderby": " create_time "}, lambda r: (is_sorted(r["data"], "update_time", True))),
+            {"orderby": "CREATE_TIME"},
+            {"orderby": "UPDATE_TIME"},
+            {"orderby": " create_time "},
        ],
        ids=["empty", "unknown", "orderby_create_time_upper", "orderby_update_time_upper", "whitespace"],
    )
--- a/uv.lock
+++ b/uv.lock
@ -1,4 +1,5 @@
 version = 1
+revision = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
    "python_full_version >= '3.12' and sys_platform == 'darwin'",
@ -30,6 +31,15 @@ wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/9f/1c/a17fb513aeb684fb83bef5f395910f53103ab30308bbdd77fd66d6698c46/accelerate-1.9.0-py3-none-any.whl", hash = "sha256:c24739a97ade1d54af4549a65f8b6b046adc87e2b3e4d6c66516e32c53d5a8f1" },
 ]

+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c" }
+wheels = [
+    { url = "https://mirrors.aliyun.com/pypi/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5" },
+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@ -1028,24 +1038,29 @@ wheels = [

 [[package]]
 name = "crawl4ai"
-version = "0.3.8"
+version = "0.3.745"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
+    { name = "aiofiles" },
    { name = "aiosqlite" },
    { name = "beautifulsoup4" },
+    { name = "colorama" },
    { name = "html2text" },
    { name = "litellm" },
    { name = "lxml" },
    { name = "numpy" },
    { name = "pillow" },
    { name = "playwright" },
-    { name = "playwright-stealth" },
    { name = "python-dotenv" },
+    { name = "rank-bm25" },
    { name = "requests" },
+    { name = "snowballstemmer" },
+    { name = "tf-playwright-stealth" },
+    { name = "xxhash" },
 ]
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/1c/31/327598a0c2cc3cd13dcb786ab41e9638c4c100db1940c9345b1e4d953f39/crawl4ai-0.3.8.tar.gz", hash = "sha256:bacc97509ddbfa5e328e299538a27a4c7fc2317e3fd5ad707b04677e4fc23fc6" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/02/5a/919e64ff2977d7aa1b2cda4d45f16ff8996cd2c2dc1f55936fb6cd214222/crawl4ai-0.3.745.tar.gz", hash = "sha256:990396d57e10ae7ccabf35c34a317dbd8c59a3ceca475eac75320a8808334438" }
 wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/af/03/4d69b8d64b39096a721808a349199ca5d7989acf2177e270d15e6f82c356/Crawl4AI-0.3.8-py3-none-any.whl", hash = "sha256:aa19165440c32b667b7325c166d68b00a99375b09e3a7db929d3873064d5ef4f" },
+    { url = "https://mirrors.aliyun.com/pypi/packages/ed/7e/ebe351a457140330b20b6d8289b8f243b21de6e6bce505cd15b230a83bcb/Crawl4AI-0.3.745-py3-none-any.whl", hash = "sha256:763e6aba80959e60e1fe70cb9d954a4cf257eb230af30f51fcd99ff641a7a88d" },
 ]

 [[package]]
@ -1175,9 +1190,6 @@ name = "datrie"
 version = "0.8.2"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9d/fe/db74bd405d515f06657f11ad529878fd389576dca4812bea6f98d9b31574/datrie-0.8.2.tar.gz", hash = "sha256:525b08f638d5cf6115df6ccd818e5a01298cd230b2dac91c8ff2e6499d18765d" }
-wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/44/02/53f0cf0bf0cd629ba6c2cc13f2f9db24323459e9c19463783d890a540a96/datrie-0.8.2-pp273-pypy_73-win32.whl", hash = "sha256:b07bd5fdfc3399a6dab86d6e35c72b1dbd598e80c97509c7c7518ab8774d3fda" },
-]

 [[package]]
 name = "debugpy"
@ -1423,6 +1435,14 @@ wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/36/f4/c6e662dade71f56cd2f3735141b265c3c79293c109549c1e6933b0651ffc/exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10" },
 ]

+[[package]]
+name = "fake-http-header"
+version = "0.3.5"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+wheels = [
+    { url = "https://mirrors.aliyun.com/pypi/packages/e3/0b/2849c87d9f13766e29c0a2f4d31681aa72e035016b251ab19d99bde7b592/fake_http_header-0.3.5-py3-none-any.whl", hash = "sha256:cd05f4bebf1b7e38b5f5c03d7fb820c0c17e87d9614fbee0afa39c32c7a2ad3c" },
+]
+
 [[package]]
 name = "fake-useragent"
 version = "1.5.1"
@ -1486,17 +1506,17 @@ name = "fastembed-gpu"
 version = "0.3.6"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
-    { name = "huggingface-hub" },
-    { name = "loguru" },
-    { name = "mmh3" },
-    { name = "numpy" },
-    { name = "onnxruntime-gpu" },
-    { name = "pillow" },
-    { name = "pystemmer" },
-    { name = "requests" },
-    { name = "snowballstemmer" },
-    { name = "tokenizers" },
-    { name = "tqdm" },
+    { name = "huggingface-hub", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "loguru", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "mmh3", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "onnxruntime-gpu", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "pillow", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "pystemmer", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "requests", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "snowballstemmer", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "tokenizers", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "tqdm", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/da/07/7336c7f3d7ee47f33b407eeb50f5eeb152889de538a52a8f1cc637192816/fastembed_gpu-0.3.6.tar.gz", hash = "sha256:ee2de8918b142adbbf48caaffec0c492f864d73c073eea5a3dcd0e8c1041c50d" }
 wheels = [
@ -2142,37 +2162,37 @@ wheels = [

 [[package]]
 name = "greenlet"
-version = "3.0.3"
+version = "3.2.3"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/17/14/3bddb1298b9a6786539ac609ba4b7c9c0842e12aa73aaa4d8d73ec8f8185/greenlet-3.0.3.tar.gz", hash = "sha256:43374442353259554ce33599da8b692d5aa96f8976d567d4badf263371fbe491" }
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/c9/92/bb85bd6e80148a4d2e0c59f7c0c2891029f8fd510183afc7d8d2feeed9b6/greenlet-3.2.3.tar.gz", hash = "sha256:8b0dd8ae4c0d6f5e54ee55ba935eeb3d735a9b58a8a1e5b5cbab64e01a39f365" }
 wheels = [
-    { url = "https://mirrors.aliyun.com/pypi/packages/a6/64/bea53c592e3e45799f7c8039a8ee7d6883c518eafef1fcae60beb776070f/greenlet-3.0.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:9da2bd29ed9e4f15955dd1595ad7bc9320308a3b766ef7f837e23ad4b4aac31a" },
-    { url = "https://mirrors.aliyun.com/pypi/packages/a6/d6/408ad9603339db28ce334021b1403dfcfbcb7501a435d49698408d928de7/greenlet-3.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d353cadd6083fdb056bb46ed07e4340b0869c305c8ca54ef9da3421acbdf6881" },
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+
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 name = "python-dateutil"
 version = "2.8.2"
@ -5239,6 +5301,7 @@ dependencies = [
    { name = "itsdangerous" },
    { name = "json-repair" },
    { name = "langfuse" },
+    { name = "litellm" },
    { name = "markdown" },
    { name = "markdown-to-json" },
    { name = "mcp" },
@ -5271,6 +5334,7 @@ dependencies = [
    { name = "pyodbc" },
    { name = "pypdf" },
    { name = "pypdf2" },
+    { name = "python-calamine" },
    { name = "python-dateutil" },
    { name = "python-docx" },
    { name = "python-dotenv" },
@ -5357,7 +5421,7 @@ requires-dist = [
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@ -5384,13 +5448,14 @@ requires-dist = [
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    { name = "markdown-to-json", specifier = "==2.1.1" },
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@ -5402,7 +5467,7 @@ requires-dist = [
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-    { name = "openai", specifier = "==1.45.0" },
+    { name = "openai", specifier = ">=1.45.0" },
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@ -5423,6 +5488,7 @@ requires-dist = [
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    { name = "pypdf", specifier = ">=5.0.0,<6.0.0" },
    { name = "pypdf2", specifier = ">=3.0.1,<4.0.0" },
+    { name = "python-calamine", specifier = ">=0.4.0" },
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@ -5467,6 +5533,7 @@ requires-dist = [
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    { name = "zhipuai", specifier = "==2.0.1" },
 ]
+provides-extras = ["full"]

 [package.metadata.requires-dev]
 test = [
@ -5481,6 +5548,18 @@ test = [
    { name = "requests-toolbelt", specifier = ">=1.0.0" },
 ]

+[[package]]
+name = "rank-bm25"
+version = "0.2.2"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+dependencies = [
+    { name = "numpy" },
+]
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/fc/0a/f9579384aa017d8b4c15613f86954b92a95a93d641cc849182467cf0bb3b/rank_bm25-0.2.2.tar.gz", hash = "sha256:096ccef76f8188563419aaf384a02f0ea459503fdf77901378d4fd9d87e5e51d" }
+wheels = [
+    { url = "https://mirrors.aliyun.com/pypi/packages/2a/21/f691fb2613100a62b3fa91e9988c991e9ca5b89ea31c0d3152a3210344f9/rank_bm25-0.2.2-py3-none-any.whl", hash = "sha256:7bd4a95571adadfc271746fa146a4bcfd89c0cf731e49c3d1ad863290adbe8ae" },
+]
+
 [[package]]
 name = "ranx"
 version = "0.3.20"
@ -6423,6 +6502,19 @@ wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/55/08/98090d1a139e8995053ed22e099b43aa4dea8cffe056f8f0bc5178aeecbd/tencentcloud_sdk_python-3.0.1215-py2.py3-none-any.whl", hash = "sha256:899ced749baf74846f1eabf452f74aa0e48d1965f0ca7828a8b73b446f76f5f2" },
 ]

+[[package]]
+name = "tf-playwright-stealth"
+version = "1.2.0"
+source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
+dependencies = [
+    { name = "fake-http-header" },
+    { name = "playwright" },
+]
+sdist = { url = "https://mirrors.aliyun.com/pypi/packages/d6/6b/32bb58c65991f91aeaaf7473b650175d9d4af5dd383983d177d49ccba08d/tf_playwright_stealth-1.2.0.tar.gz", hash = "sha256:7bb8d32d3e60324fbf6b9eeae540b8cd9f3b9e07baeb33b025dbc98ad47658ba" }
+wheels = [
+    { url = "https://mirrors.aliyun.com/pypi/packages/11/3d/2653f4cf49660bb44eeac8270617cc4c0287d61716f249f55053f0af0724/tf_playwright_stealth-1.2.0-py3-none-any.whl", hash = "sha256:26ee47ee89fa0f43c606fe37c188ea3ccd36f96ea90c01d167b768df457e7886" },
+]
+
 [[package]]
 name = "threadpoolctl"
 version = "3.6.0"
--- a/web/src/components/ui/multi-select.tsx
+++ b/web/src/components/ui/multi-select.tsx
@ -208,6 +208,10 @@ export const MultiSelect = React.forwardRef<
    const [isPopoverOpen, setIsPopoverOpen] = React.useState(false);
    const [isAnimating, setIsAnimating] = React.useState(false);

+    React.useEffect(() => {
+      setSelectedValues(defaultValue);
+    }, [defaultValue]);
+
    const flatOptions = React.useMemo(() => {
      return options.flatMap((option) =>
        'options' in option ? option.options : [option],
--- a/web/src/interfaces/database/chat.ts
+++ b/web/src/interfaces/database/chat.ts
@ -6,6 +6,10 @@ export interface PromptConfig {
  prologue: string;
  system: string;
  tts?: boolean;
+  quote: boolean;
+  keyword: boolean;
+  refine_multiturn: boolean;
+  use_kg: boolean;
 }

 export interface Parameter {
@ -26,6 +30,7 @@ export interface Variable {
  presence_penalty?: number;
  temperature?: number;
  top_p?: number;
+  llm_id?: string;
 }

 export interface IDialog {
@ -50,6 +55,8 @@ export interface IDialog {
  update_time: number;
  vector_similarity_weight: number;
  similarity_threshold: number;
+  top_k: number;
+  top_n: number;
 }

 export interface IConversation {
--- a/web/src/locales/config.ts
+++ b/web/src/locales/config.ts
@ -10,9 +10,9 @@ import translation_fr from './fr';
 import translation_id from './id';
 import translation_ja from './ja';
 import translation_pt_br from './pt-br';
+import translation_ru from './ru';
 import { createTranslationTable, flattenObject } from './until';
 import translation_vi from './vi';
-import translation_ru from './ru';
 import translation_zh from './zh';
 import translation_zh_traditional from './zh-traditional';

--- a/web/src/locales/en.ts
+++ b/web/src/locales/en.ts
@ -471,7 +471,7 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
      modelEnabledTools: 'Enabled tools',
      modelEnabledToolsTip:
        'Please select one or more tools for the chat model to use. It takes no effect for models not supporting tool call.',
-      freedom: 'Freedom',
+      freedom: 'Creativity',
      improvise: 'Improvise',
      precise: 'Precise',
      balance: 'Balance',
@ -563,9 +563,16 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
      crossLanguage: 'Cross-language search',
      crossLanguageTip: `Select one or more languages for cross‑language search. If no language is selected, the system searches with the original query.`,
      createChat: 'Create chat',
-      metadata: 'Metadata',
-      metadataTip: 'Metadata',
+      metadata: 'Meta Data',
+      metadataTip:
+        'Metadata filtering is the process of using metadata attributes (such as tags, categories, or access permissions) to refine and control the retrieval of relevant information within a system.',
      conditions: 'Conditions',
+      addCondition: 'Add Condition',
+      meta: {
+        disabled: 'Disabled',
+        automatic: 'Automatic',
+        manual: 'Manual',
+      },
    },
    setting: {
      profile: 'Profile',
--- a/web/src/locales/ru.ts
+++ b/web/src/locales/ru.ts
@ -246,8 +246,7 @@ export default {
      methodExamples: 'Примеры',
      methodExamplesDescription: 'Скриншоты для пояснения:',
      dialogueExamplesTitle: 'просмотр',
-      methodEmpty:
-        'Здесь будет визуальное объяснение категорий баз знаний',
+      methodEmpty: 'Здесь будет визуальное объяснение категорий баз знаний',
      book: `<p>Поддерживаемые форматы: <b>DOCX, PDF, TXT</b>.</p><p>
      Для PDF укажите <i>диапазон страниц</i>.</p>`,
      laws: `<p>Поддерживаемые форматы: <b>DOCX, PDF, TXT</b>.</p><p>
@ -316,21 +315,19 @@ export default {
 <p>В столбце тегов используйте <b>запятую</b> для разделения тегов.</p>
 `,
      useRaptor: 'Использовать RAPTOR',
-      useRaptorTip:
-        'Включите RAPTOR для многошаговых вопросно-ответных задач.',
+      useRaptorTip: 'Включите RAPTOR для многошаговых вопросно-ответных задач.',
      prompt: 'Промпт',
-      promptTip:
-        'Опишите задачу для LLM, укажите формат ответа и требования.',
+      promptTip: 'Опишите задачу для LLM, укажите формат ответа и требования.',
      promptMessage: 'Требуется промпт',
      promptText: `Пожалуйста, обобщите следующие абзацы. Будьте внимательны с числами, не выдумывайте. Абзацы:
      {cluster_content}
 Выше представлен контент для обобщения.`,
      maxToken: 'Макс. токенов',
-      maxTokenTip: 'Максимальное количество токенов на суммаризирующий фрагмент.',
+      maxTokenTip:
+        'Максимальное количество токенов на суммаризирующий фрагмент.',
      maxTokenMessage: 'Требуется макс. токенов',
      threshold: 'Порог',
-      thresholdTip:
-        'Минимальное сходство для группировки фрагментов в RAPTOR.',
+      thresholdTip: 'Минимальное сходство для группировки фрагментов в RAPTOR.',
      thresholdMessage: 'Требуется порог',
      maxCluster: 'Макс. кластеров',
      maxClusterTip: 'Максимальное количество кластеров.',
@ -463,8 +460,7 @@ export default {
        'Устанавливает порог для выбора наиболее вероятных слов (ядерная выборка).',
      presencePenalty: 'Штраф за присутствие',
      presencePenaltyMessage: 'Требуется штраф за присутствие',
-      presencePenaltyTip:
-        'Штрафует слова, уже появившиеся в диалоге.',
+      presencePenaltyTip: 'Штрафует слова, уже появившиеся в диалоге.',
      frequencyPenalty: 'Штраф за частоту',
      frequencyPenaltyMessage: 'Требуется штраф за частоту',
      frequencyPenaltyTip:
@ -553,8 +549,7 @@ export default {
      maxTokensInvalidMessage: 'Введите корректное число для Макс. токенов.',
      maxTokensMinMessage: 'Макс. токенов не может быть меньше 0.',
      password: 'Пароль',
-      passwordDescription:
-        'Введите текущий пароль для изменения пароля.',
+      passwordDescription: 'Введите текущий пароль для изменения пароля.',
      model: 'Провайдеры моделей',
      modelDescription: 'Настройте параметры моделей и API KEY.',
      team: 'Команда',
@ -584,17 +579,14 @@ export default {
        'Ваш новый пароль должен быть длиннее 8 символов.',
      confirmPassword: 'Подтвердите новый пароль',
      confirmPasswordMessage: 'Подтвердите пароль!',
-      confirmPasswordNonMatchMessage:
-        'Новые пароли не совпадают!',
+      confirmPasswordNonMatchMessage: 'Новые пароли не совпадают!',
      cancel: 'Отмена',
      addedModels: 'Добавленные модели',
      modelsToBeAdded: 'Модели для добавления',
      addTheModel: 'Добавить модель',
      apiKey: 'API-Ключ',
-      apiKeyMessage:
-        'Введите API ключ (для локальных моделей игнорируйте).',
-      apiKeyTip:
-        'API ключ можно получить у поставщика LLM.',
+      apiKeyMessage: 'Введите API ключ (для локальных моделей игнорируйте).',
+      apiKeyTip: 'API ключ можно получить у поставщика LLM.',
      showMoreModels: 'Показать модели',
      hideModels: 'Скрыть модели',
      baseUrl: 'Базовый URL',
@ -603,22 +595,18 @@ export default {
      modify: 'Изменить',
      systemModelSettings: 'Установить модели по умолчанию',
      chatModel: 'Модель чата',
-      chatModelTip:
-        'Модель чата по умолчанию для новых баз знаний.',
+      chatModelTip: 'Модель чата по умолчанию для новых баз знаний.',
      embeddingModel: 'Модель эмбеддинга',
-      embeddingModelTip:
-        'Модель эмбеддинга по умолчанию для новых баз знаний.',
+      embeddingModelTip: 'Модель эмбеддинга по умолчанию для новых баз знаний.',
      img2txtModel: 'Модель Img2txt',
-      img2txtModelTip:
-        'Модель описания изображений/видео по умолчанию.',
+      img2txtModelTip: 'Модель описания изображений/видео по умолчанию.',
      sequence2txtModel: 'Модель Speech2txt',
      sequence2txtModelTip:
        'Модель ASR по умолчанию для преобразования речи в текст.',
      rerankModel: 'Модель реранкинга',
      rerankModelTip: `Модель реранкинга фрагментов по умолчанию.`,
      ttsModel: 'Модель TTS',
-      ttsModelTip:
-        'Модель преобразования текста в речь по умолчанию.',
+      ttsModelTip: 'Модель преобразования текста в речь по умолчанию.',
      workspace: 'Рабочее пространство',
      upgrade: 'Обновить',
      addLlmTitle: 'Добавить LLM',
@ -648,13 +636,41 @@ export default {
      bedrockSKMessage: 'Введите ваш SECRET KEY',
      bedrockRegion: 'Регион AWS',
      bedrockRegionMessage: 'Выберите!',
-      'us-east-1': 'US East (Вирджиния)',
+      'us-east-2': 'US East (Огайо)',
+      'us-east-1': 'US East (Северная Вирджиния)',
+      'us-west-1': 'US West (Северная Калифорния)',
      'us-west-2': 'US West (Орегон)',
-      'ap-southeast-1': 'Азия (Сингапур)',
-      'ap-northeast-1': 'Азия (Токио)',
+      'af-south-1': 'Африка (Кейптаун)',
+      'ap-east-1': 'Азиатско-Тихоокеанский регион (Гонконг)',
+      'ap-south-2': 'Азиатско-Тихоокеанский регион (Хайдарабад)',
+      'ap-southeast-3': 'Азиатско-Тихоокеанский регион (Джакарта)',
+      'ap-southeast-5': 'Азиатско-Тихоокеанский регион (Малайзия)',
+      'ap-southeast-4': 'Азиатско-Тихоокеанский регион (Мельбурн)',
+      'ap-south-1': 'Азиатско-Тихоокеанский регион (Мумбаи)',
+      'ap-northeast-3': 'Азиатско-Тихоокеанский регион (Осака)',
+      'ap-northeast-2': 'Азиатско-Тихоокеанский регион (Сеул)',
+      'ap-southeast-1': 'Азиатско-Тихоокеанский регион (Сингапур)',
+      'ap-southeast-2': 'Азиатско-Тихоокеанский регион (Сидней)',
+      'ap-east-2': 'Азиатско-Тихоокеанский регион (Тайбэй)',
+      'ap-southeast-7': 'Азиатско-Тихоокеанский регион (Таиланд)',
+      'ap-northeast-1': 'Азиатско-Тихоокеанский регион (Токио)',
+      'ca-central-1': 'Канада (Центральный)',
+      'ca-west-1': 'Канада Запад (Калгари)',
      'eu-central-1': 'Европа (Франкфурт)',
+      'eu-west-1': 'Европа (Ирландия)',
+      'eu-west-2': 'Европа (Лондон)',
+      'eu-south-1': 'Европа (Милан)',
+      'eu-west-3': 'Европа (Париж)',
+      'eu-south-2': 'Европа (Испания)',
+      'eu-north-1': 'Европа (Стокгольм)',
+      'eu-central-2': 'Европа (Цюрих)',
+      'il-central-1': 'Израиль (Тель-Авив)',
+      'mx-central-1': 'Мексика (Центральный)',
+      'me-south-1': 'Ближний Восток (Бахрейн)',
+      'me-central-1': 'Ближний Восток (ОАЭ)',
+      'sa-east-1': 'Южная Америка (Сан-Паулу)',
+      'us-gov-east-1': 'AWS GovCloud (US-East)',
      'us-gov-west-1': 'AWS GovCloud (US-West)',
-      'ap-southeast-2': 'Азия (Сидней)',
      addHunyuanSID: 'Hunyuan Secret ID',
      HunyuanSIDMessage: 'Введите ваш Secret ID',
      addHunyuanSK: 'Hunyuan Secret Key',
@ -677,8 +693,7 @@ export default {
      yiyanAKMessage: 'Введите ваш API KEY',
      addyiyanSK: 'yiyan Secret KEY',
      yiyanSKMessage: 'Введите ваш Secret KEY',
-      FishAudioModelNameMessage:
-        'Дайте имя вашей модели синтеза речи',
+      FishAudioModelNameMessage: 'Дайте имя вашей модели синтеза речи',
      addFishAudioAK: 'Fish Audio API KEY',
      addFishAudioAKMessage: 'Введите ваш API KEY',
      addFishAudioRefID: 'FishAudio Reference ID',
@ -715,7 +730,7 @@ export default {
      configuration: 'Конфигурация',
      langfuseDescription:
        'Трассировка, оценка, управление промптами и метрики для отладки и улучшения вашего LLM-приложения.',
-      viewLangfuseSDocumentation: "Документация Langfuse",
+      viewLangfuseSDocumentation: 'Документация Langfuse',
      view: 'Просмотр',
      modelsToBeAddedTooltip:
        'Если ваш провайдер не указан, но заявляет о "совместимости с OpenAI API", выберите соответствующую карточку.',
@ -776,8 +791,7 @@ export default {
      s3: 'S3 загрузки',
      preview: 'Просмотр',
      fileError: 'Ошибка файла',
-      uploadLimit:
-        'Каждый файл ≤10MB, всего файлов ≤128.',
+      uploadLimit: 'Каждый файл ≤10MB, всего файлов ≤128.',
      destinationFolder: 'Целевая папка',
    },
    flow: {
@ -844,8 +858,7 @@ export default {
      baidu: 'Baidu',
      baiduDescription: `Ищет на baidu.com.`,
      duckDuckGo: 'DuckDuckGo',
-      duckDuckGoDescription:
-        'Ищет на duckduckgo.com.',
+      duckDuckGoDescription: 'Ищет на duckduckgo.com.',
      channel: 'Канал',
      channelTip: `Текстовый или новостной поиск`,
      text: 'Текст',
@ -855,14 +868,11 @@ export default {
        'Количество сообщений истории, видимых LLM. Учитывайте ограничение токенов модели.',
      wikipedia: 'Wikipedia',
      pubMed: 'PubMed',
-      pubMedDescription:
-        'Ищет на https://pubmed.ncbi.nlm.nih.gov/.',
+      pubMedDescription: 'Ищет на https://pubmed.ncbi.nlm.nih.gov/.',
      email: 'Email',
-      emailTip:
-        'Email обязателен.',
+      emailTip: 'Email обязателен.',
      arXiv: 'ArXiv',
-      arXivDescription:
-        'Ищет на https://arxiv.org/.',
+      arXivDescription: 'Ищет на https://arxiv.org/.',
      sortBy: 'Сортировать по',
      submittedDate: 'Дата отправки',
      lastUpdatedDate: 'Дата обновления',
@ -877,24 +887,20 @@ export default {
      country: 'Страна и регион',
      language: 'Язык',
      googleScholar: 'Google Scholar',
-      googleScholarDescription:
-        'Ищет на https://scholar.google.com/.',
+      googleScholarDescription: 'Ищет на https://scholar.google.com/.',
      yearLow: 'Год от',
      yearHigh: 'Год до',
      patents: 'Патенты',
      data: 'Данные',
      deepL: 'DeepL',
-      deepLDescription:
-        'Перевод с помощью https://www.deepl.com/.',
+      deepLDescription: 'Перевод с помощью https://www.deepl.com/.',
      authKey: 'Ключ авторизации',
      sourceLang: 'Исходный язык',
      targetLang: 'Целевой язык',
      gitHub: 'GitHub',
-      gitHubDescription:
-        'Ищет репозитории на https://github.com/.',
+      gitHubDescription: 'Ищет репозитории на https://github.com/.',
      baiduFanyi: 'BaiduFanyi',
-      baiduFanyiDescription:
-        'Перевод с помощью https://fanyi.baidu.com/.',
+      baiduFanyiDescription: 'Перевод с помощью https://fanyi.baidu.com/.',
      appid: 'App ID',
      secretKey: 'Секретный ключ',
      domain: 'Домен',
@ -1062,8 +1068,7 @@ export default {
      yahooFinanceDescription:
        'Запрашивает информацию о публичной компании по тикеру.',
      crawler: 'Веб-краулер',
-      crawlerDescription:
-        'Скачивает HTML-код с указанного URL.',
+      crawlerDescription: 'Скачивает HTML-код с указанного URL.',
      proxy: 'Прокси',
      crawlerResultOptions: {
        html: 'Html',
@ -1077,8 +1082,7 @@ export default {
      balanceSheet: 'Баланс',
      cashFlowStatement: 'Отчет о движении денежных средств',
      jin10: 'Jin10',
-      jin10Description:
-        'Получает финансовую информацию с Jin10 Open Platform.',
+      jin10Description: 'Получает финансовую информацию с Jin10 Open Platform.',
      flashType: 'Тип новости',
      filter: 'Фильтр',
      contain: 'Содержит',
@ -1265,13 +1269,13 @@ export default {
        'Выберите базы знаний для ассистента или переменные с ID баз знаний.',
      knowledgeBaseVars: 'Переменные базы знаний',
      code: 'Код',
-      codeDescription: 'Позволяет разработчикам писать пользовательскую логику на Python.',
+      codeDescription:
+        'Позволяет разработчикам писать пользовательскую логику на Python.',
      inputVariables: 'Входные переменные',
      runningHintText: 'выполняется...🕞',
      openingSwitch: 'Приветствие',
      openingCopy: 'Приветственное сообщение',
-      openingSwitchTip:
-        'Пользователи увидят это приветствие в начале.',
+      openingSwitchTip: 'Пользователи увидят это приветствие в начале.',
      modeTip: 'Режим определяет, как запускается рабочий процесс.',
      beginInputTip:
        'Определите входные параметры для доступа в последующих процессах.',
--- a/web/src/locales/zh.ts
+++ b/web/src/locales/zh.ts
@ -558,6 +558,16 @@ General：实体和关系提取提示来自 GitHub - microsoft/graphrag：基于
      tavilyApiKeyHelp: '如何获取？',
      crossLanguage: '跨语言搜索',
      crossLanguageTip: `选择一种或多种语言进行跨语言搜索。如果未选择任何语言，系统将使用原始查询进行搜索。`,
+      metadata: '元数据',
+      metadataTip:
+        '元数据过滤是使用元数据属性（例如标签、类别或访问权限）来优化和控制系统内相关信息检索的过程。',
+      conditions: '条件',
+      addCondition: '增加条件',
+      meta: {
+        disabled: '禁用',
+        automatic: '自动',
+        manual: '手动',
+      },
    },
    setting: {
      profile: '概要',
--- a/web/src/pages/agent/form/switch-form/index.tsx
+++ b/web/src/pages/agent/form/switch-form/index.tsx
@ -59,7 +59,7 @@ export const LogicalOperatorIcon = function OperatorIcon({
  return icon;
 };

-function useBuildSwitchOperatorOptions() {
+export function useBuildSwitchOperatorOptions() {
  const { t } = useTranslation();

  const switchOperatorOptions = useMemo(() => {
--- a/web/src/pages/chat/chat-configuration-modal/assistant-setting.tsx
+++ b/web/src/pages/chat/chat-configuration-modal/assistant-setting.tsx
@ -14,19 +14,6 @@ import { MetadataFilterConditions } from './metadata-filter-conditions';

 const emptyResponseField = ['prompt_config', 'empty_response'];

-const MetadataOptions = Object.values(DatasetMetadata).map((x) => {
-  let value: DatasetMetadata | boolean = x;
-  if (x === DatasetMetadata.Disabled) {
-    value = false;
-  } else if (x === DatasetMetadata.Automatic) {
-    value = true;
-  }
-  return {
-    value,
-    label: x,
-  };
-});
-
 const AssistantSetting = ({
  show,
  form,
@ -35,7 +22,14 @@ const AssistantSetting = ({
  const { t } = useTranslate('chat');
  const { data } = useFetchTenantInfo(true);

-  const metadata = Form.useWatch(['meta_data_filter', 'auto'], form);
+  const MetadataOptions = Object.values(DatasetMetadata).map((x) => {
+    return {
+      value: x,
+      label: t(`meta.${x}`),
+    };
+  });
+
+  const metadata = Form.useWatch(['meta_data_filter', 'method'], form);
  const kbIds = Form.useWatch(['kb_ids'], form);

  const hasKnowledge = Array.isArray(kbIds) && kbIds.length > 0;
@ -176,8 +170,9 @@ const AssistantSetting = ({
      {hasKnowledge && (
        <Form.Item
          label={t('metadata')}
-          name={['meta_data_filter', 'auto']}
+          name={['meta_data_filter', 'method']}
          tooltip={t('metadataTip')}
+          initialValue={DatasetMetadata.Disabled}
        >
          <Select options={MetadataOptions} />
        </Form.Item>
--- a/web/src/pages/chat/chat-configuration-modal/metadata-filter-conditions.tsx
+++ b/web/src/pages/chat/chat-configuration-modal/metadata-filter-conditions.tsx
@ -1,5 +1,6 @@
 import { useFetchKnowledgeMetadata } from '@/hooks/use-knowledge-request';
 import { SwitchOperatorOptions } from '@/pages/agent/constant';
+import { useBuildSwitchOperatorOptions } from '@/pages/agent/form/switch-form';
 import { MinusCircleOutlined, PlusOutlined } from '@ant-design/icons';
 import {
  Button,
@ -12,9 +13,12 @@ import {
  Space,
 } from 'antd';
 import { useCallback } from 'react';
+import { useTranslation } from 'react-i18next';

 export function MetadataFilterConditions({ kbIds }: { kbIds: string[] }) {
  const metadata = useFetchKnowledgeMetadata(kbIds);
+  const { t } = useTranslation();
+  const switchOperatorOptions = useBuildSwitchOperatorOptions();

  const renderItems = useCallback(
    (add: FormListOperation['add']) => {
@ -50,22 +54,22 @@ export function MetadataFilterConditions({ kbIds }: { kbIds: string[] }) {
              <Form.Item
                {...restField}
                name={[name, 'key']}
-                rules={[{ required: true, message: 'Missing first name' }]}
+                rules={[{ required: true, message: t('common.pleaseInput') }]}
              >
-                <Input placeholder="First Name" />
+                <Input placeholder={t('common.pleaseInput')} />
              </Form.Item>
              <Form.Item {...restField} name={[name, 'op']} className="w-20">
                <Select
-                  options={SwitchOperatorOptions}
+                  options={switchOperatorOptions}
                  popupMatchSelectWidth={false}
                />
              </Form.Item>
              <Form.Item
                {...restField}
                name={[name, 'value']}
-                rules={[{ required: true, message: 'Missing last name' }]}
+                rules={[{ required: true, message: t('common.pleaseInput') }]}
              >
-                <Input placeholder="Last Name" />
+                <Input placeholder={t('common.pleaseInput')} />
              </Form.Item>
              <MinusCircleOutlined onClick={() => remove(name)} />
            </Space>
@ -73,7 +77,7 @@ export function MetadataFilterConditions({ kbIds }: { kbIds: string[] }) {
          <Form.Item>
            <Dropdown trigger={['click']} menu={{ items: renderItems(add) }}>
              <Button type="dashed" block icon={<PlusOutlined />}>
-                Add Condition
+                {t('chat.addCondition')}
              </Button>
            </Dropdown>
          </Form.Item>
--- a/web/src/pages/next-chats/chat/app-settings/chat-basic-settings.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/chat-basic-settings.tsx
@ -11,108 +11,101 @@ import {
  FormMessage,
 } from '@/components/ui/form';
 import { Input } from '@/components/ui/input';
+import { Textarea } from '@/components/ui/textarea';
 import { useTranslate } from '@/hooks/common-hooks';
 import { useFormContext } from 'react-hook-form';
-import { Subhead } from './subhead';

 export default function ChatBasicSetting() {
  const { t } = useTranslate('chat');
  const form = useFormContext();

  return (
-    <section>
-      <Subhead>Basic settings</Subhead>
-      <div className="space-y-8">
-        <FormField
-          control={form.control}
-          name={'icon'}
-          render={({ field }) => (
-            <div className="space-y-6">
-              <FormItem className="w-full">
-                <FormLabel>{t('assistantAvatar')}</FormLabel>
-                <FormControl>
-                  <FileUploader
-                    value={field.value}
-                    onValueChange={field.onChange}
-                    maxFileCount={1}
-                    maxSize={4 * 1024 * 1024}
-                    // progresses={progresses}
-                    // pass the onUpload function here for direct upload
-                    // onUpload={uploadFiles}
-                    // disabled={isUploading}
-                  />
-                </FormControl>
-                <FormMessage />
-              </FormItem>
-            </div>
-          )}
-        />
-        <FormField
-          control={form.control}
-          name="name"
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>{t('assistantName')}</FormLabel>
+    <div className="space-y-8">
+      <FormField
+        control={form.control}
+        name={'icon'}
+        render={({ field }) => (
+          <div className="space-y-6">
+            <FormItem className="w-full">
+              <FormLabel>{t('assistantAvatar')}</FormLabel>
              <FormControl>
-                <Input {...field}></Input>
+                <FileUploader
+                  value={field.value}
+                  onValueChange={field.onChange}
+                  maxFileCount={1}
+                  maxSize={4 * 1024 * 1024}
+                />
              </FormControl>
              <FormMessage />
            </FormItem>
-          )}
-        />
-        <FormField
-          control={form.control}
-          name="description"
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>{t('description')}</FormLabel>
-              <FormControl>
-                <Input {...field}></Input>
-              </FormControl>
-              <FormMessage />
-            </FormItem>
-          )}
-        />
-        <FormField
-          control={form.control}
-          name={'prompt_config.empty_response'}
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>{t('emptyResponse')}</FormLabel>
-              <FormControl>
-                <Input {...field}></Input>
-              </FormControl>
-              <FormMessage />
-            </FormItem>
-          )}
-        />
-        <FormField
-          control={form.control}
-          name={'prompt_config.prologue'}
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>{t('setAnOpener')}</FormLabel>
-              <FormControl>
-                <Input {...field}></Input>
-              </FormControl>
-              <FormMessage />
-            </FormItem>
-          )}
-        />
-        <SwitchFormField
-          name={'prompt_config.quote'}
-          label={t('quote')}
-        ></SwitchFormField>
-        <SwitchFormField
-          name={'prompt_config.keyword'}
-          label={t('keyword')}
-        ></SwitchFormField>
-        <SwitchFormField
-          name={'prompt_config.tts'}
-          label={t('tts')}
-        ></SwitchFormField>
-        <KnowledgeBaseFormField></KnowledgeBaseFormField>
-      </div>
-    </section>
+          </div>
+        )}
+      />
+      <FormField
+        control={form.control}
+        name="name"
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>{t('assistantName')}</FormLabel>
+            <FormControl>
+              <Input {...field}></Input>
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <FormField
+        control={form.control}
+        name="description"
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>{t('description')}</FormLabel>
+            <FormControl>
+              <Textarea {...field}></Textarea>
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <FormField
+        control={form.control}
+        name={'prompt_config.empty_response'}
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>{t('emptyResponse')}</FormLabel>
+            <FormControl>
+              <Textarea {...field}></Textarea>
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <FormField
+        control={form.control}
+        name={'prompt_config.prologue'}
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>{t('setAnOpener')}</FormLabel>
+            <FormControl>
+              <Textarea {...field}></Textarea>
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <SwitchFormField
+        name={'prompt_config.quote'}
+        label={t('quote')}
+      ></SwitchFormField>
+      <SwitchFormField
+        name={'prompt_config.keyword'}
+        label={t('keyword')}
+      ></SwitchFormField>
+      <SwitchFormField
+        name={'prompt_config.tts'}
+        label={t('tts')}
+      ></SwitchFormField>
+      <KnowledgeBaseFormField></KnowledgeBaseFormField>
+    </div>
  );
 }
--- a/web/src/pages/next-chats/chat/app-settings/chat-model-settings.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/chat-model-settings.tsx
@ -9,35 +9,31 @@ import {
 import { Textarea } from '@/components/ui/textarea';
 import { useTranslate } from '@/hooks/common-hooks';
 import { useFormContext } from 'react-hook-form';
-import { Subhead } from './subhead';

 export function ChatModelSettings() {
  const { t } = useTranslate('chat');
  const form = useFormContext();

  return (
-    <section>
-      <Subhead>Model Setting</Subhead>
-      <div className="space-y-8">
-        <FormField
-          control={form.control}
-          name="prompt_config.system"
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>{t('system')}</FormLabel>
-              <FormControl>
-                <Textarea
-                  placeholder="Tell us a little bit about yourself"
-                  className="resize-none"
-                  {...field}
-                />
-              </FormControl>
-              <FormMessage />
-            </FormItem>
-          )}
-        />
-        <LlmSettingFieldItems></LlmSettingFieldItems>
-      </div>
-    </section>
+    <div className="space-y-8">
+      <FormField
+        control={form.control}
+        name="prompt_config.system"
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>{t('system')}</FormLabel>
+            <FormControl>
+              <Textarea
+                placeholder="Tell us a little bit about yourself"
+                className="resize-none"
+                {...field}
+              />
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <LlmSettingFieldItems prefix="llm_setting"></LlmSettingFieldItems>
+    </div>
  );
 }
--- a/web/src/pages/next-chats/chat/app-settings/chat-prompt-engine.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/chat-prompt-engine.tsx
@ -15,42 +15,38 @@ import { Textarea } from '@/components/ui/textarea';
 import { UseKnowledgeGraphFormField } from '@/components/use-knowledge-graph-item';
 import { useTranslate } from '@/hooks/common-hooks';
 import { useFormContext } from 'react-hook-form';
-import { Subhead } from './subhead';

 export function ChatPromptEngine() {
  const { t } = useTranslate('chat');
  const form = useFormContext();

  return (
-    <section>
-      <Subhead>Prompt engine</Subhead>
-      <div className="space-y-8">
-        <FormField
-          control={form.control}
-          name="prompt_config.system"
-          render={({ field }) => (
-            <FormItem>
-              <FormLabel>{t('system')}</FormLabel>
-              <FormControl>
-                <Textarea
-                  placeholder="Tell us a little bit about yourself"
-                  className="resize-none"
-                  {...field}
-                />
-              </FormControl>
-              <FormMessage />
-            </FormItem>
-          )}
-        />
-        <SimilaritySliderFormField></SimilaritySliderFormField>
-        <TopNFormField></TopNFormField>
-        <SwitchFormField
-          name={'prompt_config.refine_multiturn'}
-          label={t('multiTurn')}
-        ></SwitchFormField>
-        <UseKnowledgeGraphFormField name="prompt_config.use_kg"></UseKnowledgeGraphFormField>
-        <RerankFormFields></RerankFormFields>
-      </div>
-    </section>
+    <div className="space-y-8">
+      <FormField
+        control={form.control}
+        name="prompt_config.system"
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>{t('system')}</FormLabel>
+            <FormControl>
+              <Textarea
+                placeholder="Tell us a little bit about yourself"
+                className="resize-none"
+                {...field}
+              />
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <SimilaritySliderFormField></SimilaritySliderFormField>
+      <TopNFormField></TopNFormField>
+      <SwitchFormField
+        name={'prompt_config.refine_multiturn'}
+        label={t('multiTurn')}
+      ></SwitchFormField>
+      <UseKnowledgeGraphFormField name="prompt_config.use_kg"></UseKnowledgeGraphFormField>
+      <RerankFormFields></RerankFormFields>
+    </div>
  );
 }
--- a/web/src/pages/next-chats/chat/app-settings/chat-settings-sheet.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/chat-settings-sheet.tsx
@ -1,23 +0,0 @@
-import {
-  Sheet,
-  SheetContent,
-  SheetHeader,
-  SheetTitle,
-  SheetTrigger,
-} from '@/components/ui/sheet';
-import { PropsWithChildren } from 'react';
-import { ChatSettings } from './chat-settings';
-
-export function ChatSettingSheet({ children }: PropsWithChildren) {
-  return (
-    <Sheet>
-      <SheetTrigger asChild>{children}</SheetTrigger>
-      <SheetContent>
-        <SheetHeader>
-          <SheetTitle>Chat Settings</SheetTitle>
-        </SheetHeader>
-        <ChatSettings></ChatSettings>
-      </SheetContent>
-    </Sheet>
-  );
-}
--- a/web/src/pages/next-chats/chat/app-settings/chat-settings.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/chat-settings.tsx
@ -1,6 +1,10 @@
 import { Button } from '@/components/ui/button';
+import { Separator } from '@/components/ui/separator';
+import { useFetchDialog } from '@/hooks/use-chat-request';
+import { transformBase64ToFile } from '@/utils/file-util';
 import { zodResolver } from '@hookform/resolvers/zod';
 import { PanelRightClose } from 'lucide-react';
+import { useEffect } from 'react';
 import { FormProvider, useForm } from 'react-hook-form';
 import { z } from 'zod';
 import ChatBasicSetting from './chat-basic-settings';
@ -11,6 +15,7 @@ import { useChatSettingSchema } from './use-chat-setting-schema';
 type ChatSettingsProps = { switchSettingVisible(): void };
 export function ChatSettings({ switchSettingVisible }: ChatSettingsProps) {
  const formSchema = useChatSettingSchema();
+  const { data } = useFetchDialog();

  const form = useForm<z.infer<typeof formSchema>>({
    resolver: zodResolver(formSchema),
@ -34,6 +39,14 @@ export function ChatSettings({ switchSettingVisible }: ChatSettingsProps) {
    console.log(values);
  }

+  useEffect(() => {
+    const nextData = {
+      ...data,
+      icon: data.icon ? [transformBase64ToFile(data.icon)] : [],
+    };
+    form.reset(nextData as z.infer<typeof formSchema>);
+  }, [data, form]);
+
  return (
    <section className="p-5  w-[400px] max-w-[20%]">
      <div className="flex justify-between items-center text-base">
@ -49,7 +62,9 @@ export function ChatSettings({ switchSettingVisible }: ChatSettingsProps) {
          className="space-y-6 overflow-auto max-h-[87vh] pr-4"
        >
          <ChatBasicSetting></ChatBasicSetting>
+          <Separator />
          <ChatPromptEngine></ChatPromptEngine>
+          <Separator />
          <ChatModelSettings></ChatModelSettings>
        </form>
      </FormProvider>
--- a/web/src/pages/next-chats/chat/app-settings/subhead.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/subhead.tsx
@ -1,9 +0,0 @@
-import { PropsWithChildren } from 'react';
-
-export function Subhead({ children }: PropsWithChildren) {
-  return (
-    <div className="text-xl font-bold mb-4 text-colors-text-neutral-strong">
-      {children}
-    </div>
-  );
-}
--- a/web/src/pages/next-chats/chat/app-settings/use-chat-setting-schema.tsx
+++ b/web/src/pages/next-chats/chat/app-settings/use-chat-setting-schema.tsx
@ -1,3 +1,4 @@
+import { LlmSettingSchema } from '@/components/llm-setting-items/next';
 import { useTranslate } from '@/hooks/common-hooks';
 import { z } from 'zod';

@ -31,6 +32,7 @@ export function useChatSettingSchema() {
    top_n: z.number(),
    vector_similarity_weight: z.number(),
    top_k: z.number(),
+    llm_setting: z.object(LlmSettingSchema),
  });

  return formSchema;
--- a/web/src/pages/next-chats/chat/sessions.tsx
+++ b/web/src/pages/next-chats/chat/sessions.tsx
@ -2,6 +2,7 @@ import { MoreButton } from '@/components/more-button';
 import { RAGFlowAvatar } from '@/components/ragflow-avatar';
 import { Button } from '@/components/ui/button';
 import { Card, CardContent } from '@/components/ui/card';
+import { SearchInput } from '@/components/ui/input';
 import { useSetModalState } from '@/hooks/common-hooks';
 import {
  useFetchDialog,
@ -9,7 +10,7 @@ import {
 } from '@/hooks/use-chat-request';
 import { cn } from '@/lib/utils';
 import { PanelLeftClose, PanelRightClose, Plus } from 'lucide-react';
-import { useCallback } from 'react';
+import { useCallback, useState } from 'react';
 import { useHandleClickConversationCard } from '../hooks/use-click-card';
 import { useSelectDerivedConversationList } from '../hooks/use-select-conversation-list';

@ -25,6 +26,7 @@ export function Sessions({
    useSelectDerivedConversationList();
  const { data } = useFetchDialog();
  const { visible, switchVisible } = useSetModalState(true);
+  const [searchStr, setSearchStr] = useState('');

  const handleCardClick = useCallback(
    (conversationId: string, isNew: boolean) => () => {
@ -61,11 +63,17 @@ export function Sessions({
        />
      </section>
      <div className="flex justify-between items-center mb-4 pt-10">
-        <span className="text-xl font-bold">Conversations</span>
+        <span className="text-base font-bold">Conversations</span>
        <Button variant={'ghost'} onClick={addTemporaryConversation}>
          <Plus></Plus>
        </Button>
      </div>
+      <div className="pb-4">
+        <SearchInput
+          onChange={(e) => setSearchStr(e.target.value)}
+          value={searchStr}
+        ></SearchInput>
+      </div>
      <div className="space-y-4 flex-1 overflow-auto">
        {conversationList.map((x) => (
          <Card
--- a/web/src/pages/next-search/search-setting-aisummery-config.tsx
+++ b/web/src/pages/next-search/search-setting-aisummery-config.tsx
@ -0,0 +1,182 @@
+import { SliderInputSwitchFormField } from '@/components/llm-setting-items/slider';
+import { SelectWithSearch } from '@/components/originui/select-with-search';
+import {
+  FormControl,
+  FormField,
+  FormItem,
+  FormLabel,
+  FormMessage,
+} from '@/components/ui/form';
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from '@/components/ui/select';
+import {
+  LlmModelType,
+  ModelVariableType,
+  settledModelVariableMap,
+} from '@/constants/knowledge';
+import { useTranslate } from '@/hooks/common-hooks';
+import { useComposeLlmOptionsByModelTypes } from '@/hooks/llm-hooks';
+import { camelCase } from 'lodash';
+import { useCallback } from 'react';
+import { useFormContext } from 'react-hook-form';
+import { z } from 'zod';
+
+interface LlmSettingFieldItemsProps {
+  prefix?: string;
+  options?: any[];
+}
+
+export const LlmSettingSchema = {
+  llm_id: z.string(),
+  temperature: z.coerce.number(),
+  top_p: z.string(),
+  presence_penalty: z.coerce.number(),
+  frequency_penalty: z.coerce.number(),
+  temperatureEnabled: z.boolean(),
+  topPEnabled: z.boolean(),
+  presencePenaltyEnabled: z.boolean(),
+  frequencyPenaltyEnabled: z.boolean(),
+  maxTokensEnabled: z.boolean(),
+};
+
+export function LlmSettingFieldItems({
+  prefix,
+  options,
+}: LlmSettingFieldItemsProps) {
+  const form = useFormContext();
+  const { t } = useTranslate('chat');
+
+  const modelOptions = useComposeLlmOptionsByModelTypes([
+    LlmModelType.Chat,
+    LlmModelType.Image2text,
+  ]);
+
+  const handleChange = useCallback(
+    (parameter: string) => {
+      // const currentValues = { ...form.getValues() };
+      const values =
+        settledModelVariableMap[
+          parameter as keyof typeof settledModelVariableMap
+        ];
+
+      // const nextValues = { ...currentValues, ...values };
+
+      for (const key in values) {
+        if (Object.prototype.hasOwnProperty.call(values, key)) {
+          const element = values[key];
+
+          form.setValue(`${prefix}.${key}`, element);
+        }
+      }
+    },
+    [form, prefix],
+  );
+
+  const parameterOptions = Object.values(ModelVariableType).map((x) => ({
+    label: t(camelCase(x)),
+    value: x,
+  }));
+
+  const getFieldWithPrefix = useCallback(
+    (name: string) => {
+      return prefix ? `${prefix}.${name}` : name;
+    },
+    [prefix],
+  );
+
+  return (
+    <div className="space-y-5">
+      <FormField
+        control={form.control}
+        name={getFieldWithPrefix('llm_id')}
+        render={({ field }) => (
+          <FormItem>
+            <FormLabel>
+              <span className="text-destructive mr-1"> *</span>
+              {t('model')}
+            </FormLabel>
+            <FormControl>
+              <SelectWithSearch
+                options={options || modelOptions}
+                triggerClassName="bg-bg-card"
+                {...field}
+              ></SelectWithSearch>
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <FormField
+        control={form.control}
+        name={getFieldWithPrefix('parameter')}
+        render={({ field }) => (
+          <FormItem className="flex justify-between gap-4 items-center">
+            <FormLabel>{t('freedom')}</FormLabel>
+            <FormControl>
+              <div className="w-28">
+                <Select
+                  {...field}
+                  onValueChange={(val) => {
+                    handleChange(val);
+                    field.onChange(val);
+                  }}
+                >
+                  <SelectTrigger>
+                    <SelectValue />
+                  </SelectTrigger>
+                  <SelectContent>
+                    {parameterOptions.map((x) => (
+                      <SelectItem value={x.value} key={x.value}>
+                        {x.label}
+                      </SelectItem>
+                    ))}
+                  </SelectContent>
+                </Select>
+              </div>
+            </FormControl>
+            <FormMessage />
+          </FormItem>
+        )}
+      />
+      <SliderInputSwitchFormField
+        name={getFieldWithPrefix('temperature')}
+        checkName="temperatureEnabled"
+        label="temperature"
+        max={1}
+        step={0.01}
+      ></SliderInputSwitchFormField>
+      <SliderInputSwitchFormField
+        name={getFieldWithPrefix('top_p')}
+        checkName="topPEnabled"
+        label="topP"
+        max={1}
+        step={0.01}
+      ></SliderInputSwitchFormField>
+      <SliderInputSwitchFormField
+        name={getFieldWithPrefix('presence_penalty')}
+        checkName="presencePenaltyEnabled"
+        label="presencePenalty"
+        max={1}
+        step={0.01}
+      ></SliderInputSwitchFormField>
+      <SliderInputSwitchFormField
+        name={getFieldWithPrefix('frequency_penalty')}
+        checkName="frequencyPenaltyEnabled"
+        label="frequencyPenalty"
+        max={1}
+        step={0.01}
+      ></SliderInputSwitchFormField>
+      {/* <SliderInputSwitchFormField
+        name={getFieldWithPrefix('max_tokens')}
+        checkName="maxTokensEnabled"
+        label="maxTokens"
+        max={128000}
+      ></SliderInputSwitchFormField> */}
+    </div>
+  );
+}
--- a/web/src/pages/next-search/search-setting.tsx
+++ b/web/src/pages/next-search/search-setting.tsx
@ -1,5 +1,6 @@
 // src/pages/next-search/search-setting.tsx

+import { Input } from '@/components/originui/input';
 import { RAGFlowAvatar } from '@/components/ragflow-avatar';
 import { Button } from '@/components/ui/button';
 import { SingleFormSlider } from '@/components/ui/dual-range-slider';
@ -11,29 +12,35 @@ import {
  FormLabel,
  FormMessage,
 } from '@/components/ui/form';
-import { Input } from '@/components/ui/input';
 import { Label } from '@/components/ui/label';
 import {
  MultiSelect,
  MultiSelectOptionType,
 } from '@/components/ui/multi-select';
-import {
-  Select,
-  SelectContent,
-  SelectItem,
-  SelectTrigger,
-  SelectValue,
-} from '@/components/ui/select';
+import { RAGFlowSelect } from '@/components/ui/select';
 import { Switch } from '@/components/ui/switch';
 import { useFetchKnowledgeList } from '@/hooks/knowledge-hooks';
+import {
+  useComposeLlmOptionsByModelTypes,
+  useSelectLlmOptionsByModelType,
+} from '@/hooks/llm-hooks';
+import { useFetchTenantInfo } from '@/hooks/user-setting-hooks';
 import { IKnowledge } from '@/interfaces/database/knowledge';
 import { cn } from '@/lib/utils';
 import { transformFile2Base64 } from '@/utils/file-util';
+import { zodResolver } from '@hookform/resolvers/zod';
 import { t } from 'i18next';
 import { PanelRightClose, Pencil, Upload } from 'lucide-react';
-import { useEffect, useState } from 'react';
-import { useForm } from 'react-hook-form';
-import { ISearchAppDetailProps } from '../next-searches/hooks';
+import { useCallback, useEffect, useMemo, useState } from 'react';
+import { useForm, useWatch } from 'react-hook-form';
+import { z } from 'zod';
+import { LlmModelType, ModelVariableType } from '../dataset/dataset/constant';
+import {
+  ISearchAppDetailProps,
+  IUpdateSearchProps,
+  useUpdateSearch,
+} from '../next-searches/hooks';
+import { LlmSettingFieldItems } from './search-setting-aisummery-config';

 interface SearchSettingProps {
  open: boolean;
@ -41,7 +48,52 @@ interface SearchSettingProps {
  className?: string;
  data: ISearchAppDetailProps;
 }
+const SearchSettingFormSchema = z
+  .object({
+    search_id: z.string().optional(),
+    name: z.string().min(1, 'Name is required'),
+    avatar: z.string().optional(),
+    description: z.string().optional(),
+    search_config: z.object({
+      kb_ids: z.array(z.string()).min(1, 'At least one dataset is required'),
+      vector_similarity_weight: z.number().min(0).max(100),
+      web_search: z.boolean(),
+      similarity_threshold: z.number(),
+      use_kg: z.boolean(),
+      rerank_id: z.string(),
+      use_rerank: z.boolean(),
+      top_k: z.number(),
+      summary: z.boolean(),
+      llm_setting: z.object({
+        llm_id: z.string(),
+        parameter: z.string(),
+        temperature: z.number(),
+        top_p: z.union([z.string(), z.number()]),
+        frequency_penalty: z.number(),
+        presence_penalty: z.number(),
+      }),
+      related_search: z.boolean(),
+      query_mindmap: z.boolean(),
+    }),
+  })
+  .superRefine((data, ctx) => {
+    if (data.search_config.use_rerank && !data.search_config.rerank_id) {
+      ctx.addIssue({
+        path: ['search_config', 'rerank_id'],
+        message: 'Rerank model is required when rerank is enabled',
+        code: z.ZodIssueCode.custom,
+      });
+    }

+    if (data.search_config.summary && !data.search_config.llm_setting?.llm_id) {
+      ctx.addIssue({
+        path: ['search_config', 'llm_setting', 'llm_id'],
+        message: 'Model is required when AI Summary is enabled',
+        code: z.ZodIssueCode.custom,
+      });
+    }
+  });
+type SearchSettingFormData = z.infer<typeof SearchSettingFormSchema>;
 const SearchSetting: React.FC<SearchSettingProps> = ({
  open = false,
  setOpen,
@ -49,51 +101,56 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
  data,
 }) => {
  const [width0, setWidth0] = useState('w-[440px]');
-  //  "avatar": null,
-  // "created_by": "c3fb861af27a11efa69751e139332ced",
-  // "description": "My first search app",
-  // "id": "22e874584b4511f0aa1ac57b9ea5a68b",
-  // "name": "updated search app",
-  // "search_config": {
-  //     "cross_languages": [],
-  //     "doc_ids": [],
-  //     "highlight": false,
-  //     "kb_ids": [],
-  //     "keyword": false,
-  //     "query_mindmap": false,
-  //     "related_search": false,
-  //     "rerank_id": "",
-  //     "similarity_threshold": 0.5,
-  //     "summary": false,
-  //     "top_k": 1024,
-  //     "use_kg": true,
-  //     "vector_similarity_weight": 0.3,
-  //     "web_search": false
-  // },
-  // "tenant_id": "c3fb861af27a11efa69751e139332ced",
-  // "update_time": 1750144129641
-  const formMethods = useForm({
-    defaultValues: {
-      id: '',
-      name: '',
-      avatar: '',
-      description: 'You are an intelligent assistant.',
-      datasets: '',
-      keywordSimilarityWeight: 20,
-      rerankModel: false,
-      aiSummary: false,
-      topK: true,
-      searchMethod: '',
-      model: '',
-      enableWebSearch: false,
-      enableRelatedSearch: true,
-      showQueryMindmap: true,
-    },
+  const { search_config } = data || {};
+  const { llm_setting } = search_config || {};
+  const formMethods = useForm<SearchSettingFormData>({
+    resolver: zodResolver(SearchSettingFormSchema),
  });
+
  const [avatarFile, setAvatarFile] = useState<File | null>(null);
  const [avatarBase64Str, setAvatarBase64Str] = useState(''); // Avatar Image base64
  const [datasetList, setDatasetList] = useState<MultiSelectOptionType[]>([]);
  const [datasetSelectEmbdId, setDatasetSelectEmbdId] = useState('');
+
+  const resetForm = useCallback(() => {
+    formMethods.reset({
+      search_id: data?.id,
+      name: data?.name || '',
+      avatar: data?.avatar || '',
+      description: data?.description || 'You are an intelligent assistant.',
+      search_config: {
+        kb_ids: search_config?.kb_ids || [],
+        vector_similarity_weight: search_config?.vector_similarity_weight || 20,
+        web_search: search_config?.web_search || false,
+        doc_ids: [],
+        similarity_threshold: 0.0,
+        use_kg: false,
+        rerank_id: search_config?.rerank_id || '',
+        use_rerank: search_config?.rerank_id ? true : false,
+        top_k: search_config?.top_k || 1024,
+        summary: search_config?.summary || false,
+        chat_id: '',
+        llm_setting: {
+          llm_id: llm_setting?.llm_id || '',
+          parameter: llm_setting?.parameter || ModelVariableType.Improvise,
+          temperature: llm_setting?.temperature || 0.8,
+          top_p: llm_setting?.top_p || 0.9,
+          frequency_penalty: llm_setting?.frequency_penalty || 0.1,
+          presence_penalty: llm_setting?.presence_penalty || 0.1,
+        },
+        chat_settingcross_languages: [],
+        highlight: false,
+        keyword: false,
+        related_search: search_config?.related_search || false,
+        query_mindmap: search_config?.query_mindmap || false,
+      },
+    });
+  }, [data, search_config, llm_setting, formMethods]);
+
+  useEffect(() => {
+    resetForm();
+  }, [resetForm]);
+
  useEffect(() => {
    if (!open) {
      setTimeout(() => {
@ -116,7 +173,8 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
      })();
    }
  }, [avatarFile]);
-  const { list: datasetListOrigin } = useFetchKnowledgeList();
+  const { list: datasetListOrigin, loading: datasetLoading } =
+    useFetchKnowledgeList();

  useEffect(() => {
    const datasetListMap = datasetListOrigin.map((item: IKnowledge) => {
@ -143,8 +201,45 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
    } else {
      setDatasetSelectEmbdId('');
    }
+    formMethods.setValue('search_config.kb_ids', value);
    onChange?.(value);
  };
+
+  const allOptions = useSelectLlmOptionsByModelType();
+  const rerankModelOptions = useMemo(() => {
+    return allOptions[LlmModelType.Rerank];
+  }, [allOptions]);
+
+  const aiSummeryModelOptions = useComposeLlmOptionsByModelTypes([
+    LlmModelType.Chat,
+    LlmModelType.Image2text,
+  ]);
+
+  const rerankModelDisabled = useWatch({
+    control: formMethods.control,
+    name: 'search_config.use_rerank',
+  });
+  const aiSummaryDisabled = useWatch({
+    control: formMethods.control,
+    name: 'search_config.summary',
+  });
+
+  const { updateSearch, isLoading: isUpdating } = useUpdateSearch();
+  const { data: systemSetting } = useFetchTenantInfo();
+  const onSubmit = async (
+    formData: IUpdateSearchProps & { tenant_id: string },
+  ) => {
+    try {
+      await updateSearch({
+        ...formData,
+        tenant_id: systemSetting.tenant_id,
+        avatar: avatarBase64Str,
+      });
+      setOpen(false); // 关闭弹窗
+    } catch (error) {
+      console.error('Failed to update search:', error);
+    }
+  };
  return (
    <div
      className={cn(
@ -156,7 +251,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
        width0,
        className,
      )}
-      style={{ height: 'calc(100dvh - 170px)' }}
+      style={{ maxHeight: 'calc(100dvh - 170px)' }}
    >
      <div className="flex justify-between items-center text-base mb-8">
        <div className="text-text-primary">Search Settings</div>
@ -168,19 +263,26 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
        </div>
      </div>
      <div
-        style={{ height: 'calc(100dvh - 270px)' }}
+        style={{ maxHeight: 'calc(100dvh - 270px)' }}
        className="overflow-y-auto scrollbar-auto p-1 text-text-secondary"
      >
        <Form {...formMethods}>
          <form
-            onSubmit={formMethods.handleSubmit((data) => console.log(data))}
+            onSubmit={formMethods.handleSubmit(
+              (data) => {
+                console.log('Form submitted with data:', data);
+                onSubmit(data as IUpdateSearchProps);
+              },
+              (errors) => {
+                console.log('Validation errors:', errors);
+              },
+            )}
            className="space-y-6"
          >
            {/* Name */}
            <FormField
              control={formMethods.control}
              name="name"
-              rules={{ required: 'Name is required' }}
              render={({ field }) => (
                <FormItem>
                  <FormLabel>
@ -225,13 +327,13 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
                          </div>
                        </div>
                      )}
-                      <Input
+                      <input
                        placeholder=""
                        // {...field}
                        type="file"
                        title=""
                        accept="image/*"
-                        className="absolute top-0 left-0 w-full h-full opacity-0 cursor-pointer"
+                        className="absolute w-[64px] top-0 left-0 h-full opacity-0 cursor-pointer"
                        onChange={(ev) => {
                          const file = ev.target?.files?.[0];
                          if (
@ -257,11 +359,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
                <FormItem>
                  <FormLabel>Description</FormLabel>
                  <FormControl>
-                    <Input
-                      placeholder="Description"
-                      {...field}
-                      defaultValue="You are an intelligent assistant."
-                    />
+                    <Input placeholder="Description" {...field} />
                  </FormControl>
                  <FormMessage />
                </FormItem>
@ -271,7 +369,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
            {/* Datasets */}
            <FormField
              control={formMethods.control}
-              name="datasets"
+              name="search_config.kb_ids"
              rules={{ required: 'Datasets is required' }}
              render={({ field }) => (
                <FormItem>
@ -288,6 +386,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
                      placeholder={t('chat.knowledgeBasesMessage')}
                      variant="inverted"
                      maxCount={10}
+                      defaultValue={field.value}
                      {...field}
                    />
                  </FormControl>
@ -299,10 +398,13 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
            {/* Keyword Similarity Weight */}
            <FormField
              control={formMethods.control}
-              name="keywordSimilarityWeight"
+              name="search_config.vector_similarity_weight"
              render={({ field }) => (
                <FormItem className="flex flex-col">
-                  <FormLabel>Keyword Similarity Weight</FormLabel>
+                  <FormLabel>
+                    <span className="text-destructive mr-1"> *</span>Keyword
+                    Similarity Weight
+                  </FormLabel>
                  <FormControl>
                    <div className="flex justify-between items-center">
                      <SingleFormSlider
@ -324,7 +426,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
            {/* Rerank Model */}
            <FormField
              control={formMethods.control}
-              name="rerankModel"
+              name="search_config.use_rerank"
              render={({ field }) => (
                <FormItem className="flex flex-row items-start space-x-3 space-y-0">
                  <FormControl>
@ -337,11 +439,60 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
                </FormItem>
              )}
            />
+            {rerankModelDisabled && (
+              <>
+                <FormField
+                  control={formMethods.control}
+                  name={'search_config.rerank_id'}
+                  // rules={{ required: 'Model is required' }}
+                  render={({ field }) => (
+                    <FormItem className="flex flex-col">
+                      <FormLabel>
+                        <span className="text-destructive mr-1"> *</span>Model
+                      </FormLabel>
+                      <FormControl>
+                        <RAGFlowSelect
+                          {...field}
+                          options={rerankModelOptions}
+                          // disabled={disabled}
+                          placeholder={'model'}
+                        />
+                      </FormControl>
+                      <FormMessage />
+                    </FormItem>
+                  )}
+                />
+
+                <FormField
+                  control={formMethods.control}
+                  name="search_config.top_k"
+                  render={({ field }) => (
+                    <FormItem className="flex flex-col">
+                      <FormLabel>Top K</FormLabel>
+                      <FormControl>
+                        <div className="flex justify-between items-center">
+                          <SingleFormSlider
+                            max={100}
+                            step={1}
+                            value={field.value as number}
+                            onChange={(values) => field.onChange(values)}
+                          ></SingleFormSlider>
+                          <Label className="w-10 h-6 bg-bg-card flex justify-center items-center rounded-lg ml-20">
+                            {field.value}
+                          </Label>
+                        </div>
+                      </FormControl>
+                      <FormMessage />
+                    </FormItem>
+                  )}
+                />
+              </>
+            )}

            {/* AI Summary */}
            <FormField
              control={formMethods.control}
-              name="aiSummary"
+              name="search_config.summary"
              render={({ field }) => (
                <FormItem className="flex flex-row items-start space-x-3 space-y-0">
                  <FormControl>
@ -351,93 +502,21 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
                    />
                  </FormControl>
                  <FormLabel>AI Summary</FormLabel>
-                  <Label className="text-sm text-muted-foreground">
-                    默认不打开
-                  </Label>
                </FormItem>
              )}
            />

-            {/* Top K */}
-            <FormField
-              control={formMethods.control}
-              name="topK"
-              render={({ field }) => (
-                <FormItem className="flex flex-row items-start space-x-3 space-y-0">
-                  <FormControl>
-                    <Switch
-                      checked={field.value}
-                      onCheckedChange={field.onChange}
-                    />
-                  </FormControl>
-                  <FormLabel>Top K</FormLabel>
-                </FormItem>
-              )}
-            />
-
-            {/* Search Method */}
-            <FormField
-              control={formMethods.control}
-              name="searchMethod"
-              rules={{ required: 'Search Method is required' }}
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>
-                    <span className="text-destructive mr-1"> *</span>Search
-                    Method
-                  </FormLabel>
-                  <FormControl>
-                    <Select
-                      onValueChange={field.onChange}
-                      defaultValue={field.value}
-                    >
-                      <SelectTrigger>
-                        <SelectValue placeholder="Select search method..." />
-                      </SelectTrigger>
-                      <SelectContent>
-                        <SelectItem value="method1">Method 1</SelectItem>
-                        <SelectItem value="method2">Method 2</SelectItem>
-                      </SelectContent>
-                    </Select>
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
-
-            {/* Model */}
-            <FormField
-              control={formMethods.control}
-              name="model"
-              rules={{ required: 'Model is required' }}
-              render={({ field }) => (
-                <FormItem>
-                  <FormLabel>
-                    <span className="text-destructive mr-1"> *</span>Model
-                  </FormLabel>
-                  <FormControl>
-                    <Select
-                      onValueChange={field.onChange}
-                      defaultValue={field.value}
-                    >
-                      <SelectTrigger>
-                        <SelectValue placeholder="Select model..." />
-                      </SelectTrigger>
-                      <SelectContent>
-                        <SelectItem value="model1">Model 1</SelectItem>
-                        <SelectItem value="model2">Model 2</SelectItem>
-                      </SelectContent>
-                    </Select>
-                  </FormControl>
-                  <FormMessage />
-                </FormItem>
-              )}
-            />
+            {aiSummaryDisabled && (
+              <LlmSettingFieldItems
+                prefix="search_config.llm_setting"
+                options={aiSummeryModelOptions}
+              ></LlmSettingFieldItems>
+            )}

            {/* Feature Controls */}
            <FormField
              control={formMethods.control}
-              name="enableWebSearch"
+              name="search_config.web_search"
              render={({ field }) => (
                <FormItem className="flex flex-row items-start space-x-3 space-y-0">
                  <FormControl>
@ -453,7 +532,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({

            <FormField
              control={formMethods.control}
-              name="enableRelatedSearch"
+              name="search_config.related_search"
              render={({ field }) => (
                <FormItem className="flex flex-row items-start space-x-3 space-y-0">
                  <FormControl>
@ -469,7 +548,7 @@ const SearchSetting: React.FC<SearchSettingProps> = ({

            <FormField
              control={formMethods.control}
-              name="showQueryMindmap"
+              name="search_config.query_mindmap"
              render={({ field }) => (
                <FormItem className="flex flex-row items-start space-x-3 space-y-0">
                  <FormControl>
@ -483,7 +562,18 @@ const SearchSetting: React.FC<SearchSettingProps> = ({
              )}
            />
            {/* Submit Button */}
-            <div className="flex justify-end">
+            <div className="flex justify-end"></div>
+            <div className="flex justify-end gap-2">
+              <Button
+                type="reset"
+                variant={'transparent'}
+                onClick={() => {
+                  resetForm();
+                  setOpen(false);
+                }}
+              >
+                Cancel
+              </Button>
              <Button type="submit">Confirm</Button>
            </div>
          </form>
--- a/web/src/pages/next-searches/hooks.ts
+++ b/web/src/pages/next-searches/hooks.ts
@ -158,6 +158,15 @@ export const useDeleteSearch = () => {
  return { data, isLoading, isError, deleteSearch };
 };

+interface IllmSettingProps {
+  llm_id: string;
+  parameter: string;
+  temperature: number;
+  top_p: number;
+  frequency_penalty: number;
+  presence_penalty: number;
+}
+
 export interface ISearchAppDetailProps {
  avatar: any;
  created_by: string;
@ -175,10 +184,12 @@ export interface ISearchAppDetailProps {
    rerank_id: string;
    similarity_threshold: number;
    summary: boolean;
+    llm_setting: IllmSettingProps;
    top_k: number;
    use_kg: boolean;
    vector_similarity_weight: number;
    web_search: boolean;
+    chat_settingcross_languages: string[];
  };
  tenant_id: string;
  update_time: number;
@ -207,3 +218,43 @@ export const useFetchSearchDetail = () => {

  return { data: data?.data, isLoading, isError };
 };
+
+export type IUpdateSearchProps = Omit<ISearchAppDetailProps, 'id'> & {
+  search_id: string;
+};
+
+export const useUpdateSearch = () => {
+  const { t } = useTranslation();
+
+  const {
+    data,
+    isLoading,
+    isError,
+    mutateAsync: updateSearchMutation,
+  } = useMutation<any, Error, IUpdateSearchProps>({
+    mutationKey: ['updateSearch'],
+    mutationFn: async (formData) => {
+      const { data: response } =
+        await searchService.updateSearchSetting(formData);
+      if (response.code !== 0) {
+        throw new Error(response.message || 'Failed to update search');
+      }
+      return response.data;
+    },
+    onSuccess: () => {
+      message.success(t('message.updated'));
+    },
+    onError: (error) => {
+      message.error(t('message.error', { error: error.message }));
+    },
+  });
+
+  const updateSearch = useCallback(
+    (formData: IUpdateSearchProps) => {
+      return updateSearchMutation(formData);
+    },
+    [updateSearchMutation],
+  );
+
+  return { data, isLoading, isError, updateSearch };
+};
--- a/web/src/services/search-service.ts
+++ b/web/src/services/search-service.ts
@ -2,7 +2,13 @@ import api from '@/utils/api';
 import registerServer from '@/utils/register-server';
 import request from '@/utils/request';

-const { createSearch, getSearchList, deleteSearch, getSearchDetail } = api;
+const {
+  createSearch,
+  getSearchList,
+  deleteSearch,
+  getSearchDetail,
+  updateSearchSetting,
+} = api;
 const methods = {
  createSearch: {
    url: createSearch,
@ -17,6 +23,10 @@ const methods = {
    url: getSearchDetail,
    method: 'get',
  },
+  updateSearchSetting: {
+    url: updateSearchSetting,
+    method: 'post',
+  },
 } as const;
 const searchService = registerServer<keyof typeof methods>(methods, request);

--- a/web/src/utils/api.ts
+++ b/web/src/utils/api.ts
@ -181,4 +181,5 @@ export default {
  getSearchList: `${api_host}/search/list`,
  deleteSearch: `${api_host}/search/rm`,
  getSearchDetail: `${api_host}/search/detail`,
+  updateSearchSetting: `${api_host}/search/update`,
 };
Author	SHA1	Message	Date
Liu An	d7b4e84cda	Refa: Update LLM stream response type to Generator (#9420 ) ### What problem does this PR solve? Change return type of _generate_streamly from str to Generator[str, None, None] to properly type hint streaming responses. ### Type of change - [x] Refactoring	2025-08-12 18:05:52 +08:00
Popmio	e845d5f9f8	Fix:valueERROR when file is optional but not exist value (#9414 ) ### What problem does this PR solve? when begin component has optional file but not exist , it rase error ### Type of change - [x] Bug Fix Co-authored-by: Popmio <zhengyihao036@gamil.com>	2025-08-12 17:39:03 +08:00
balibabu	3d18284dd6	Feat: Added meta data to the chat configuration page #8531 (#9417 ) ### What problem does this PR solve? Feat: Added meta data to the chat configuration page #8531 ### Type of change - [x] New Feature (non-breaking change which adds functionality)	2025-08-12 16:19:23 +08:00
Kevin Hu	96783aa82c	Fix: remove doc error. (#9413 ) ### What problem does this PR solve? Close #9407 ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)	2025-08-12 15:55:04 +08:00
Yongteng Lei	a0c2da1219	Fix: Patch LiteLLM (#9416 ) ### What problem does this PR solve? Patch LiteLLM refactor. #9408 ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)	2025-08-12 15:54:30 +08:00
Jay Xu	79e2edc835	Fix "File contains no valid workbook part" (#9360 ) ### What problem does this PR solve? fix "File contains no valid workbook part" stacktrace: ``` Traceback (most recent call last): File "/ragflow/deepdoc/parser/excel_parser.py", line 54, in _load_excel_to_workbook return RAGFlowExcelParser._dataframe_to_workbook(df) File "/ragflow/deepdoc/parser/excel_parser.py", line 69, in _dataframe_to_workbook ws.cell(row=row_num, column=col_num, value=value) File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/worksheet/worksheet.py", line 246, in cell cell.value = value File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/cell/cell.py", line 218, in value self._bind_value(value) File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/cell/cell.py", line 197, in _bind_value value = self.check_string(value) File "/ragflow/.venv/lib/python3.10/site-packages/openpyxl/cell/cell.py", line 165, in check_string raise IllegalCharacterError(f"{value} cannot be used in worksheets.") ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe):	2025-08-12 14:58:36 +08:00
Stephen Hu	57b87fa9d9	Fix:TypeError: OllamaCV.chat() got an unexpected keyword argument 'stop' (#9363 ) ### What problem does this PR solve? https://github.com/infiniflow/ragflow/issues/9351 Support filter argument before invoking ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) --------- Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>	2025-08-12 14:55:27 +08:00
Kevin Hu	153e430b00	Feat: add meta data filter. (#9405 ) ### What problem does this PR solve? #8531 #7417 #6761 #6573 #6477 ### Type of change - [x] New Feature (non-breaking change which adds functionality)	2025-08-12 14:12:56 +08:00
goodboyasia	3ccaa06031	Fix: Before executing the SQL, remove tags in the format [ID: number] to avoid execution errors. (#9326 ) ### What problem does this PR solve? Before executing the SQL, remove tags in the format [ID: number] to avoid execution errors. ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) Co-authored-by: wangyazhou <wangyazhou@sdibd.cn>	2025-08-12 12:42:28 +08:00
Jay Xu	569ab011c4	Add fallback to use 'calamine' parse engine in excel_parser.py (#9374 ) ### What problem does this PR solve? add fallback to `calamine` engine when parse error raised using the default `openpyxl` / `xlrd` engine. e.g. the following error can be fixed: ``` Traceback (most recent call last): File "/ragflow/deepdoc/parser/excel_parser.py", line 53, in _load_excel_to_workbook df = pd.read_excel(file_like_object) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 495, in read_excel io = ExcelFile( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 1567, in __init__ self._reader = self._engines[engine]( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 46, in __init__ super().__init__( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 573, in __init__ self.book = self.load_workbook(self.handles.handle, engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 63, in load_workbook return open_workbook(file_contents=data, **engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/__init__.py", line 172, in open_workbook bk = open_workbook_xls( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 68, in open_workbook_xls bk.biff2_8_load( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 641, in biff2_8_load cd.locate_named_stream(UNICODE_LITERAL(qname)) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 398, in locate_named_stream result = self._locate_stream( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 429, in _locate_stream raise CompDocError("%s corruption: seen[%d] == %d" % (qname, s, self.seen[s])) xlrd.compdoc.CompDocError: Workbook corruption: seen[2] == 4 ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)	2025-08-12 12:41:33 +08:00
Stephen Hu	96b1538b3e	Fix:HTTP request component failed to retrieve the corresponding value (#9399 ) ### What problem does this PR solve? https://github.com/infiniflow/ragflow/issues/9385 Based on my understanding, I think checking empty string is fine ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) --------- Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>	2025-08-12 12:27:22 +08:00
chanx	735570486f	feat(next-search): Added AI summary functionality #3221 (#9402 ) ### What problem does this PR solve? feat(next-search): Added AI summary functionality #3221 - Added the LlmSettingFieldItems component for AI summary settings - Updated the SearchSetting component to integrate AI summary functionality - Added the updateSearch hook and related service methods - Modified the ISearchAppDetailProps interface to add the llm_setting field ### Type of change - [x] New Feature (non-breaking change which adds functionality)	2025-08-12 12:27:00 +08:00
EVGENY M	da68f541b6	Feat: add full list of supported AWS Bedrock regions (#9395 ) ### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ ### Type of change - [x] New Feature (non-breaking change which adds functionality)	2025-08-12 11:01:16 +08:00
Yongteng Lei	83771e500c	Refa: migrate chat models to LiteLLM (#9394 ) ### What problem does this PR solve? All models pass the mock response tests, which means that if a model can return the correct response, everything should work as expected. However, not all models have been fully tested in a real environment, the real API_KEY. I suggest actively monitoring the refactored models over the coming period to ensure they work correctly and fixing them step by step, or waiting to merge until most have been tested in practical environment. ### Type of change - [x] Refactoring	2025-08-12 10:59:20 +08:00
Yongteng Lei	a6d2119498	Refa: list canvas (#9341 ) ### What problem does this PR solve? Refactor list canvas. ### Type of change - [x] Refactoring	2025-08-12 10:58:06 +08:00
Liu An	57b9f8cf52	Fix: Update test assertions and simplify test cases (#9400 ) ### What problem does this PR solve? - Fix error message assertion in test_update_chunk.py to match new ownership validation - Simplify dataset listing test cases by removing lambda assertions for sorting - Fix actions: https://github.com/infiniflow/ragflow/actions/runs/16885465524/job/47831942553 ### Type of change - [x] Fix test cases	2025-08-12 10:57:30 +08:00