diff --git a/api/apps/canvas_app.py b/api/apps/canvas_app.py
index d696b16f195..dfc167c2175 100644
--- a/api/apps/canvas_app.py
+++ b/api/apps/canvas_app.py
@@ -18,8 +18,6 @@
 from flask import request, Response
 from flask_login import login_required, current_user
 from api.db.services.canvas_service import CanvasTemplateService, UserCanvasService
-from api.db.services.dialog_service import full_question
-from api.db.services.user_service import TenantService
 from api.settings import RetCode
 from api.utils import get_uuid
 from api.utils.api_utils import get_json_result, server_error_response, validate_request, get_data_error_result
@@ -111,8 +109,9 @@ def run():
         if "message" in req:
             canvas.messages.append({"role": "user", "content": req["message"], "id": message_id})
             if len([m for m in canvas.messages if m["role"] == "user"]) > 1:
-                ten = TenantService.get_by_user_id(current_user.id)[0]
+                #ten = TenantService.get_info_by(current_user.id)[0]
                 #req["message"] = full_question(ten["tenant_id"], ten["llm_id"], canvas.messages)
+                pass
             canvas.add_user_input(req["message"])
         answer = canvas.run(stream=stream)
         print(canvas)
diff --git a/api/apps/conversation_app.py b/api/apps/conversation_app.py
index 7329e0569f8..525ca5b5ef5 100644
--- a/api/apps/conversation_app.py
+++ b/api/apps/conversation_app.py
@@ -218,7 +218,7 @@ def tts():
     req = request.json
     text = req["text"]
 
-    tenants = TenantService.get_by_user_id(current_user.id)
+    tenants = TenantService.get_info_by(current_user.id)
     if not tenants:
         return get_data_error_result(retmsg="Tenant not found!")
 
diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py
index 502697e14c6..840994b38aa 100644
--- a/api/apps/sdk/doc.py
+++ b/api/apps/sdk/doc.py
@@ -119,13 +119,11 @@ def update_doc(tenant_id, dataset_id, document_id):
         if informs:
             e, file = FileService.get_by_id(informs[0].file_id)
             FileService.update_by_id(file.id, {"name": req["name"]})
+    if "parser_config" in req:
+        DocumentService.update_parser_config(doc.id, req["parser_config"])
     if "parser_method" in req:
         if doc.parser_id.lower() == req["parser_method"].lower():
-            if "parser_config" in req:
-                if req["parser_config"] == doc.parser_config:
-                    return get_result(retcode=RetCode.SUCCESS)
-            else:
-                return get_result(retcode=RetCode.SUCCESS)
+                return get_result()
 
         if doc.type == FileType.VISUAL or re.search(
                 r"\.(ppt|pptx|pages)$", doc.name):
@@ -146,8 +144,6 @@ def update_doc(tenant_id, dataset_id, document_id):
                 return get_error_data_result(retmsg="Tenant not found!")
             ELASTICSEARCH.deleteByQuery(
                 Q("match", doc_id=doc.id), idxnm=search.index_name(tenant_id))
-    if "parser_config" in req:
-        DocumentService.update_parser_config(doc.id, req["parser_config"])
 
     return get_result()
 
@@ -258,6 +254,8 @@ def parse(tenant_id,dataset_id):
     if not KnowledgebaseService.query(id=dataset_id, tenant_id=tenant_id):
         return get_error_data_result(retmsg=f"You don't own the dataset {dataset_id}.")
     req = request.json
+    if not req.get("document_ids"):
+        return get_error_data_result("`document_ids` is required")
     for id in req["document_ids"]:
         if not DocumentService.query(id=id,kb_id=dataset_id):
             return get_error_data_result(retmsg=f"You don't own the document {id}.")
@@ -283,9 +281,14 @@ def stop_parsing(tenant_id,dataset_id):
     if not KnowledgebaseService.query(id=dataset_id, tenant_id=tenant_id):
         return get_error_data_result(retmsg=f"You don't own the dataset {dataset_id}.")
     req = request.json
+    if not req.get("document_ids"):
+        return get_error_data_result("`document_ids` is required")
     for id in req["document_ids"]:
-        if not DocumentService.query(id=id,kb_id=dataset_id):
+        doc = DocumentService.query(id=id, kb_id=dataset_id)
+        if not doc:
             return get_error_data_result(retmsg=f"You don't own the document {id}.")
+        if doc[0].progress == 100.0 or doc[0].progress == 0.0:
+            return get_error_data_result("Can't stop parsing document with progress at 0 or 100")
         info = {"run": "2", "progress": 0}
         DocumentService.update_by_id(id, info)
         # if str(req["run"]) == TaskStatus.CANCEL.value:
@@ -297,7 +300,7 @@ def stop_parsing(tenant_id,dataset_id):
 
 @manager.route('/dataset/<dataset_id>/document/<document_id>/chunk', methods=['GET'])
 @token_required
-def list_chunk(tenant_id,dataset_id,document_id):
+def list_chunks(tenant_id,dataset_id,document_id):
     if not KnowledgebaseService.query(id=dataset_id, tenant_id=tenant_id):
         return get_error_data_result(retmsg=f"You don't own the dataset {dataset_id}.")
     doc=DocumentService.query(id=document_id, kb_id=dataset_id)
@@ -309,57 +312,58 @@ def list_chunk(tenant_id,dataset_id,document_id):
     page = int(req.get("offset", 1))
     size = int(req.get("limit", 30))
     question = req.get("keywords", "")
-    try:
-        query = {
-            "doc_ids": [doc_id], "page": page, "size": size, "question": question, "sort": True
+    query = {
+        "doc_ids": [doc_id], "page": page, "size": size, "question": question, "sort": True
+    }
+    sres = retrievaler.search(query, search.index_name(tenant_id), highlight=True)
+    res = {"total": sres.total, "chunks": [], "doc": doc.to_dict()}
+    origin_chunks = []
+    sign = 0
+    for id in sres.ids:
+        d = {
+            "chunk_id": id,
+            "content_with_weight": rmSpace(sres.highlight[id]) if question and id in sres.highlight else sres.field[
+                id].get(
+                "content_with_weight", ""),
+            "doc_id": sres.field[id]["doc_id"],
+            "docnm_kwd": sres.field[id]["docnm_kwd"],
+            "important_kwd": sres.field[id].get("important_kwd", []),
+            "img_id": sres.field[id].get("img_id", ""),
+            "available_int": sres.field[id].get("available_int", 1),
+            "positions": sres.field[id].get("position_int", "").split("\t")
         }
-        if "available_int" in req:
-            query["available_int"] = int(req["available_int"])
-        sres = retrievaler.search(query, search.index_name(tenant_id), highlight=True)
-        res = {"total": sres.total, "chunks": [], "doc": doc.to_dict()}
-
-        origin_chunks = []
-        for id in sres.ids:
-            d = {
-                "chunk_id": id,
-                "content_with_weight": rmSpace(sres.highlight[id]) if question and id in sres.highlight else sres.field[
-                    id].get(
-                    "content_with_weight", ""),
-                "doc_id": sres.field[id]["doc_id"],
-                "docnm_kwd": sres.field[id]["docnm_kwd"],
-                "important_kwd": sres.field[id].get("important_kwd", []),
-                "img_id": sres.field[id].get("img_id", ""),
-                "available_int": sres.field[id].get("available_int", 1),
-                "positions": sres.field[id].get("position_int", "").split("\t")
-            }
-            if len(d["positions"]) % 5 == 0:
-                poss = []
-                for i in range(0, len(d["positions"]), 5):
-                    poss.append([float(d["positions"][i]), float(d["positions"][i + 1]), float(d["positions"][i + 2]),
-                                 float(d["positions"][i + 3]), float(d["positions"][i + 4])])
-                d["positions"] = poss
-
-            origin_chunks.append(d)
-            ##rename keys
-            for chunk in origin_chunks:
-                key_mapping = {
-                    "chunk_id": "id",
-                    "content_with_weight": "content",
-                    "doc_id": "document_id",
-                    "important_kwd": "important_keywords",
-                    "img_id": "image_id",
-                }
-                renamed_chunk = {}
-                for key, value in chunk.items():
-                    new_key = key_mapping.get(key, key)
-                    renamed_chunk[new_key] = value
-                res["chunks"].append(renamed_chunk)
-        return get_result(data=res)
-    except Exception as e:
-        if str(e).find("not_found") > 0:
-            return get_result(retmsg=f'No chunk found!',
-                                   retcode=RetCode.DATA_ERROR)
-        return server_error_response(e)
+        if len(d["positions"]) % 5 == 0:
+            poss = []
+            for i in range(0, len(d["positions"]), 5):
+                poss.append([float(d["positions"][i]), float(d["positions"][i + 1]), float(d["positions"][i + 2]),
+                             float(d["positions"][i + 3]), float(d["positions"][i + 4])])
+            d["positions"] = poss
+
+        origin_chunks.append(d)
+        if req.get("id"):
+            if req.get("id") == id:
+                origin_chunks.clear()
+                origin_chunks.append(d)
+                sign = 1
+                break
+    if req.get("id"):
+        if sign == 0:
+            return get_error_data_result(f"Can't find this chunk {req.get('id')}")
+    for chunk in origin_chunks:
+        key_mapping = {
+            "chunk_id": "id",
+            "content_with_weight": "content",
+            "doc_id": "document_id",
+            "important_kwd": "important_keywords",
+            "img_id": "image_id",
+        }
+        renamed_chunk = {}
+        for key, value in chunk.items():
+            new_key = key_mapping.get(key, key)
+            renamed_chunk[new_key] = value
+        res["chunks"].append(renamed_chunk)
+    return get_result(data=res)
+
 
 
 @manager.route('/dataset/<dataset_id>/document/<document_id>/chunk', methods=['POST'])
@@ -374,6 +378,9 @@ def create(tenant_id,dataset_id,document_id):
     req = request.json
     if not req.get("content"):
         return get_error_data_result(retmsg="`content` is required")
+    if "important_keywords" in req:
+        if type(req["important_keywords"]) != list:
+            return get_error_data_result("`important_keywords` is required to be a list")
     md5 = hashlib.md5()
     md5.update((req["content"] + document_id).encode("utf-8"))
 
@@ -381,8 +388,8 @@ def create(tenant_id,dataset_id,document_id):
     d = {"id": chunk_id, "content_ltks": rag_tokenizer.tokenize(req["content"]),
          "content_with_weight": req["content"]}
     d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"])
-    d["important_kwd"] = req.get("important_kwd", [])
-    d["important_tks"] = rag_tokenizer.tokenize(" ".join(req.get("important_kwd", [])))
+    d["important_kwd"] = req.get("important_keywords", [])
+    d["important_tks"] = rag_tokenizer.tokenize(" ".join(req.get("important_keywords", [])))
     d["create_time"] = str(datetime.datetime.now()).replace("T", " ")[:19]
     d["create_timestamp_flt"] = datetime.datetime.now().timestamp()
     d["kb_id"] = [doc.kb_id]
@@ -432,12 +439,12 @@ def rm_chunk(tenant_id,dataset_id,document_id):
     req = request.json
     if not req.get("chunk_ids"):
         return get_error_data_result("`chunk_ids` is required")
+    query = {
+        "doc_ids": [doc.id], "page": 1, "size": 1024, "question": "", "sort": True}
+    sres = retrievaler.search(query, search.index_name(tenant_id), highlight=True)
     for chunk_id in req.get("chunk_ids"):
-        res = ELASTICSEARCH.get(
-            chunk_id, search.index_name(
-                tenant_id))
-        if not res.get("found"):
-            return server_error_response(f"Chunk {chunk_id} not found")
+        if chunk_id not in sres.ids:
+            return get_error_data_result(f"Chunk {chunk_id} not found")
     if not ELASTICSEARCH.deleteByQuery(
             Q("ids", values=req["chunk_ids"]), search.index_name(tenant_id)):
         return get_error_data_result(retmsg="Index updating failure")
@@ -451,24 +458,36 @@ def rm_chunk(tenant_id,dataset_id,document_id):
 @manager.route('/dataset/<dataset_id>/document/<document_id>/chunk/<chunk_id>', methods=['PUT'])
 @token_required
 def set(tenant_id,dataset_id,document_id,chunk_id):
-    res = ELASTICSEARCH.get(
+    try:
+        res = ELASTICSEARCH.get(
         chunk_id, search.index_name(
             tenant_id))
-    if not res.get("found"):
-        return get_error_data_result(f"Chunk {chunk_id} not found")
+    except Exception as e:
+        return get_error_data_result(f"Can't find this chunk {chunk_id}")
     if not KnowledgebaseService.query(id=dataset_id, tenant_id=tenant_id):
         return get_error_data_result(retmsg=f"You don't own the dataset {dataset_id}.")
     doc = DocumentService.query(id=document_id, kb_id=dataset_id)
     if not doc:
         return get_error_data_result(retmsg=f"You don't own the document {document_id}.")
+    doc = doc[0]
+    query = {
+        "doc_ids": [document_id], "page": 1, "size": 1024, "question": "", "sort": True
+    }
+    sres = retrievaler.search(query, search.index_name(tenant_id), highlight=True)
+    if chunk_id not in sres.ids:
+        return get_error_data_result(f"You don't own the chunk {chunk_id}")
     req = request.json
+    content=res["_source"].get("content_with_weight")
     d = {
         "id": chunk_id,
-        "content_with_weight": req.get("content",res.get["content_with_weight"])}
-    d["content_ltks"] = rag_tokenizer.tokenize(req["content"])
+        "content_with_weight": req.get("content",content)}
+    d["content_ltks"] = rag_tokenizer.tokenize(d["content_with_weight"])
     d["content_sm_ltks"] = rag_tokenizer.fine_grained_tokenize(d["content_ltks"])
-    d["important_kwd"] = req.get("important_keywords",[])
-    d["important_tks"] = rag_tokenizer.tokenize(" ".join(req["important_keywords"]))
+    if "important_keywords" in req:
+        if type(req["important_keywords"]) != list:
+            return get_error_data_result("`important_keywords` is required to be a list")
+        d["important_kwd"] = req.get("important_keywords")
+        d["important_tks"] = rag_tokenizer.tokenize(" ".join(req["important_keywords"]))
     if "available" in req:
         d["available_int"] = req["available"]
     embd_id = DocumentService.get_embd_id(document_id)
@@ -478,7 +497,7 @@ def set(tenant_id,dataset_id,document_id,chunk_id):
         arr = [
             t for t in re.split(
                 r"[\n\t]",
-                req["content"]) if len(t) > 1]
+                d["content_with_weight"]) if len(t) > 1]
         if len(arr) != 2:
             return get_error_data_result(
                 retmsg="Q&A must be separated by TAB/ENTER key.")
@@ -486,7 +505,7 @@ def set(tenant_id,dataset_id,document_id,chunk_id):
         d = beAdoc(d, arr[0], arr[1], not any(
             [rag_tokenizer.is_chinese(t) for t in q + a]))
 
-    v, c = embd_mdl.encode([doc.name, req["content"]])
+    v, c = embd_mdl.encode([doc.name, d["content_with_weight"]])
     v = 0.1 * v[0] + 0.9 * v[1] if doc.parser_id != ParserType.QA else v[1]
     d["q_%d_vec" % len(v)] = v.tolist()
     ELASTICSEARCH.upsert([d], search.index_name(tenant_id))
@@ -505,7 +524,7 @@ def retrieval_test(tenant_id):
     for id in kb_id:
         if not KnowledgebaseService.query(id=id,tenant_id=tenant_id):
             return get_error_data_result(f"You don't own the dataset {id}.")
-    if "question" not in req_json:
+    if "question" not in req:
         return get_error_data_result("`question` is required.")
     page = int(req.get("offset", 1))
     size = int(req.get("limit", 30))
diff --git a/api/apps/sdk/session.py b/api/apps/sdk/session.py
index 81bc84aca7c..897fdf2da71 100644
--- a/api/apps/sdk/session.py
+++ b/api/apps/sdk/session.py
@@ -24,10 +24,9 @@
 from api.utils.api_utils import get_error_data_result
 from api.utils.api_utils import get_result, token_required
 
-
 @manager.route('/chat/<chat_id>/session', methods=['POST'])
 @token_required
-def create(tenant_id, chat_id):
+def create(tenant_id,chat_id):
     req = request.json
     req["dialog_id"] = chat_id
     dia = DialogService.query(tenant_id=tenant_id, id=req["dialog_id"], status=StatusEnum.VALID.value)
@@ -51,14 +50,13 @@ def create(tenant_id, chat_id):
     del conv["reference"]
     return get_result(data=conv)
 
-
 @manager.route('/chat/<chat_id>/session/<session_id>', methods=['PUT'])
 @token_required
-def update(tenant_id, chat_id, session_id):
+def update(tenant_id,chat_id,session_id):
     req = request.json
     req["dialog_id"] = chat_id
     conv_id = session_id
-    conv = ConversationService.query(id=conv_id, dialog_id=chat_id)
+    conv = ConversationService.query(id=conv_id,dialog_id=chat_id)
     if not conv:
         return get_error_data_result(retmsg="Session does not exist")
     if not DialogService.query(id=chat_id, tenant_id=tenant_id, status=StatusEnum.VALID.value):
@@ -74,16 +72,30 @@ def update(tenant_id, chat_id, session_id):
     return get_result()
 
 
-@manager.route('/chat/<chat_id>/session/<session_id>/completion', methods=['POST'])
+@manager.route('/chat/<chat_id>/completion', methods=['POST'])
 @token_required
-def completion(tenant_id, chat_id, session_id):
+def completion(tenant_id,chat_id):
     req = request.json
     # req = {"conversation_id": "9aaaca4c11d311efa461fa163e197198", "messages": [
     #    {"role": "user", "content": "上海有吗？"}
     # ]}
+    if not req.get("session_id"):
+        conv = {
+            "id": get_uuid(),
+            "dialog_id": chat_id,
+            "name": req.get("name", "New session"),
+            "message": [{"role": "assistant", "content": "Hi! I am your assistant，can I help you?"}]
+        }
+        if not conv.get("name"):
+            return get_error_data_result(retmsg="Name can not be empty.")
+        ConversationService.save(**conv)
+        e, conv = ConversationService.get_by_id(conv["id"])
+        session_id=conv.id
+    else:
+        session_id = req.get("session_id")
     if not req.get("question"):
         return get_error_data_result(retmsg="Please input your question.")
-    conv = ConversationService.query(id=session_id, dialog_id=chat_id)
+    conv = ConversationService.query(id=session_id,dialog_id=chat_id)
     if not conv:
         return get_error_data_result(retmsg="Session does not exist")
     conv = conv[0]
@@ -117,17 +129,18 @@ def fillin_conv(ans):
         conv.message[-1] = {"role": "assistant", "content": ans["answer"],
                             "id": message_id, "prompt": ans.get("prompt", "")}
         ans["id"] = message_id
+        ans["session_id"]=session_id
 
     def stream():
         nonlocal dia, msg, req, conv
         try:
             for ans in chat(dia, msg, **req):
                 fillin_conv(ans)
-                yield "data:" + json.dumps({"code": 0, "data": ans}, ensure_ascii=False) + "\n\n"
+                yield "data:" + json.dumps({"code": 0,  "data": ans}, ensure_ascii=False) + "\n\n"
             ConversationService.update_by_id(conv.id, conv.to_dict())
         except Exception as e:
             yield "data:" + json.dumps({"code": 500, "message": str(e),
-                                        "data": {"answer": "**ERROR**: " + str(e), "reference": []}},
+                                        "data": {"answer": "**ERROR**: " + str(e),"reference": []}},
                                        ensure_ascii=False) + "\n\n"
         yield "data:" + json.dumps({"code": 0, "data": True}, ensure_ascii=False) + "\n\n"
 
@@ -148,15 +161,14 @@ def stream():
             break
         return get_result(data=answer)
 
-
 @manager.route('/chat/<chat_id>/session', methods=['GET'])
 @token_required
-def list(chat_id, tenant_id):
+def list(chat_id,tenant_id):
     if not DialogService.query(tenant_id=tenant_id, id=chat_id, status=StatusEnum.VALID.value):
         return get_error_data_result(retmsg=f"You don't own the assistant {chat_id}.")
     id = request.args.get("id")
     name = request.args.get("name")
-    session = ConversationService.query(id=id, name=name, dialog_id=chat_id)
+    session = ConversationService.query(id=id,name=name,dialog_id=chat_id)
     if not session:
         return get_error_data_result(retmsg="The session doesn't exist")
     page_number = int(request.args.get("page", 1))
@@ -166,7 +178,7 @@ def list(chat_id, tenant_id):
         desc = False
     else:
         desc = True
-    convs = ConversationService.get_list(chat_id, page_number, items_per_page, orderby, desc, id, name)
+    convs = ConversationService.get_list(chat_id,page_number,items_per_page,orderby,desc,id,name)
     if not convs:
         return get_result(data=[])
     for conv in convs:
@@ -201,17 +213,16 @@ def list(chat_id, tenant_id):
         del conv["reference"]
     return get_result(data=convs)
 
-
 @manager.route('/chat/<chat_id>/session', methods=["DELETE"])
 @token_required
-def delete(tenant_id, chat_id):
+def delete(tenant_id,chat_id):
     if not DialogService.query(id=chat_id, tenant_id=tenant_id, status=StatusEnum.VALID.value):
         return get_error_data_result(retmsg="You don't own the chat")
     ids = request.json.get("ids")
     if not ids:
         return get_error_data_result(retmsg="`ids` is required in deleting operation")
     for id in ids:
-        conv = ConversationService.query(id=id, dialog_id=chat_id)
+        conv = ConversationService.query(id=id,dialog_id=chat_id)
         if not conv:
             return get_error_data_result(retmsg="The chat doesn't own the session")
         ConversationService.delete_by_id(id)
diff --git a/api/apps/system_app.py b/api/apps/system_app.py
index 030c6a7e3a0..28df3d688d6 100644
--- a/api/apps/system_app.py
+++ b/api/apps/system_app.py
@@ -133,15 +133,9 @@ def token_list():
         return server_error_response(e)
 
 
-@manager.route('/rm', methods=['POST'])
-@validate_request("tokens", "tenant_id")
+@manager.route('/token/<token>', methods=['DELETE'])
 @login_required
-def rm():
-    req = request.json
-    try:
-        for token in req["tokens"]:
-            APITokenService.filter_delete(
-                [APIToken.tenant_id == req["tenant_id"], APIToken.token == token])
-        return get_json_result(data=True)
-    except Exception as e:
-        return server_error_response(e)
+def rm(token):
+    APITokenService.filter_delete(
+                [APIToken.tenant_id == current_user.id, APIToken.token == token])
+    return get_json_result(data=True)
\ No newline at end of file
diff --git a/api/apps/tenant_app.py b/api/apps/tenant_app.py
index f1bf6c99e20..3d61992ac53 100644
--- a/api/apps/tenant_app.py
+++ b/api/apps/tenant_app.py
@@ -15,25 +15,14 @@
 #
 
 from flask import request
-from flask_login import current_user, login_required
+from flask_login import login_required, current_user
 
 from api.db import UserTenantRole, StatusEnum
 from api.db.db_models import UserTenant
-from api.db.services.user_service import TenantService, UserTenantService
-from api.settings import RetCode
+from api.db.services.user_service import UserTenantService, UserService
 
-from api.utils import get_uuid
-from api.utils.api_utils import get_json_result, validate_request, server_error_response
-
-
-@manager.route("/list", methods=["GET"])
-@login_required
-def tenant_list():
-    try:
-        tenants = TenantService.get_by_user_id(current_user.id)
-        return get_json_result(data=tenants)
-    except Exception as e:
-        return server_error_response(e)
+from api.utils import get_uuid, delta_seconds
+from api.utils.api_utils import get_json_result, validate_request, server_error_response, get_data_error_result
 
 
 @manager.route("/<tenant_id>/user/list", methods=["GET"])
@@ -41,6 +30,8 @@ def tenant_list():
 def user_list(tenant_id):
     try:
         users = UserTenantService.get_by_tenant_id(tenant_id)
+        for u in users:
+            u["delta_seconds"] = delta_seconds(str(u["update_date"]))
         return get_json_result(data=users)
     except Exception as e:
         return server_error_response(e)
@@ -48,30 +39,31 @@ def user_list(tenant_id):
 
 @manager.route('/<tenant_id>/user', methods=['POST'])
 @login_required
-@validate_request("user_id")
+@validate_request("email")
 def create(tenant_id):
-    user_id = request.json.get("user_id")
-    if not user_id:
-        return get_json_result(
-            data=False, retmsg='Lack of "USER ID"', retcode=RetCode.ARGUMENT_ERROR)
+    req = request.json
+    usrs = UserService.query(email=req["email"])
+    if not usrs:
+        return get_data_error_result(retmsg="User not found.")
 
-    try:
-        user_tenants = UserTenantService.query(user_id=user_id, tenant_id=tenant_id)
-        if user_tenants:
-            uuid = user_tenants[0].id
-            return get_json_result(data={"id": uuid})
-
-        uuid = get_uuid()
-        UserTenantService.save(
-            id = uuid,
-            user_id = user_id,
-            tenant_id = tenant_id,
-            role = UserTenantRole.NORMAL.value,
-            status = StatusEnum.VALID.value)
-
-        return get_json_result(data={"id": uuid})
-    except Exception as e:
-        return server_error_response(e)
+    user_id = usrs[0].id
+    user_tenants = UserTenantService.query(user_id=user_id, tenant_id=tenant_id)
+    if user_tenants:
+        if user_tenants[0].status == UserTenantRole.NORMAL.value:
+            return get_data_error_result(retmsg="This user is in the team already.")
+        return get_data_error_result(retmsg="Invitation notification is sent.")
+
+    UserTenantService.save(
+        id=get_uuid(),
+        user_id=user_id,
+        tenant_id=tenant_id,
+        role=UserTenantRole.INVITE,
+        status=StatusEnum.VALID.value)
+
+    usr = list(usrs.dicts())[0]
+    usr = {k: v for k, v in usr.items() if k in ["id", "avatar", "email", "nickname"]}
+
+    return get_json_result(data=usr)
 
 
 @manager.route('/<tenant_id>/user/<user_id>', methods=['DELETE'])
@@ -82,4 +74,25 @@ def rm(tenant_id, user_id):
         return get_json_result(data=True)
     except Exception as e:
         return server_error_response(e)
-    
\ No newline at end of file
+
+
+@manager.route("/list", methods=["GET"])
+@login_required
+def tenant_list():
+    try:
+        users = UserTenantService.get_tenants_by_user_id(current_user.id)
+        for u in users:
+            u["delta_seconds"] = delta_seconds(str(u["update_date"]))
+        return get_json_result(data=users)
+    except Exception as e:
+        return server_error_response(e)
+
+
+@manager.route("/agree/<tenant_id>", methods=["GET"])
+@login_required
+def agree(tenant_id):
+    try:
+        UserTenantService.filter_update([UserTenant.tenant_id == tenant_id, UserTenant.user_id == current_user.id], {"role": UserTenantRole.NORMAL})
+        return get_json_result(data=True)
+    except Exception as e:
+        return server_error_response(e)
\ No newline at end of file
diff --git a/api/apps/user_app.py b/api/apps/user_app.py
index 0c113dcde10..4d7947c5624 100644
--- a/api/apps/user_app.py
+++ b/api/apps/user_app.py
@@ -23,7 +23,7 @@
 
 from api.db.db_models import TenantLLM
 from api.db.services.llm_service import TenantLLMService, LLMService
-from api.utils.api_utils import server_error_response, validate_request
+from api.utils.api_utils import server_error_response, validate_request, get_data_error_result
 from api.utils import get_uuid, get_format_time, decrypt, download_img, current_timestamp, datetime_format
 from api.db import UserTenantRole, LLMType, FileType
 from api.settings import RetCode, GITHUB_OAUTH, FEISHU_OAUTH, CHAT_MDL, EMBEDDING_MDL, ASR_MDL, IMAGE2TEXT_MDL, PARSERS, \
@@ -402,8 +402,10 @@ def user_add():
 @login_required
 def tenant_info():
     try:
-        tenants = TenantService.get_by_user_id(current_user.id)[0]
-        return get_json_result(data=tenants)
+        tenants = TenantService.get_info_by(current_user.id)
+        if not tenants:
+            return get_data_error_result(retmsg="Tenant not found!")
+        return get_json_result(data=tenants[0])
     except Exception as e:
         return server_error_response(e)
 
diff --git a/api/db/__init__.py b/api/db/__init__.py
index a24726cd268..c4cee6b6f24 100644
--- a/api/db/__init__.py
+++ b/api/db/__init__.py
@@ -27,6 +27,7 @@ class UserTenantRole(StrEnum):
     OWNER = 'owner'
     ADMIN = 'admin'
     NORMAL = 'normal'
+    INVITE = 'invite'
 
 
 class TenantPermission(StrEnum):
diff --git a/api/db/services/document_service.py b/api/db/services/document_service.py
index c6bd034afd0..40fd1188ecd 100644
--- a/api/db/services/document_service.py
+++ b/api/db/services/document_service.py
@@ -61,14 +61,13 @@ def get_list(cls, kb_id, page_number, items_per_page,
             docs = docs.where(
                 fn.LOWER(cls.model.name).contains(keywords.lower())
             )
-        count = docs.count()
         if desc:
             docs = docs.order_by(cls.model.getter_by(orderby).desc())
         else:
             docs = docs.order_by(cls.model.getter_by(orderby).asc())
 
         docs = docs.paginate(page_number, items_per_page)
-
+        count = docs.count()
         return list(docs.dicts()), count
 
 
@@ -362,7 +361,7 @@ def update_progress(cls):
                 elif finished:
                     if d["parser_config"].get("raptor", {}).get("use_raptor") and d["progress_msg"].lower().find(" raptor")<0:
                         queue_raptor_tasks(d)
-                        prg *= 0.98
+                        prg = 0.98 * len(tsks)/(len(tsks)+1)
                         msg.append("------ RAPTOR -------")
                     else:
                         status = TaskStatus.DONE.value
@@ -379,7 +378,8 @@ def update_progress(cls):
                     info["progress_msg"] = msg
                 cls.update_by_id(d["id"], info)
             except Exception as e:
-                stat_logger.error("fetch task exception:" + str(e))
+                if str(e).find("'0'") < 0:
+                    stat_logger.error("fetch task exception:" + str(e))
 
     @classmethod
     @DB.connection_context()
diff --git a/api/db/services/user_service.py b/api/db/services/user_service.py
index 0c0a297c458..49a1d7f9bad 100644
--- a/api/db/services/user_service.py
+++ b/api/db/services/user_service.py
@@ -87,7 +87,7 @@ class TenantService(CommonService):
 
     @classmethod
     @DB.connection_context()
-    def get_by_user_id(cls, user_id):
+    def get_info_by(cls, user_id):
         fields = [
             cls.model.id.alias("tenant_id"),
             cls.model.name,
@@ -100,7 +100,7 @@ def get_by_user_id(cls, user_id):
             cls.model.parser_ids,
             UserTenant.role]
         return list(cls.model.select(*fields)
-                    .join(UserTenant, on=((cls.model.id == UserTenant.tenant_id) & (UserTenant.user_id == user_id) & (UserTenant.status == StatusEnum.VALID.value)))
+                    .join(UserTenant, on=((cls.model.id == UserTenant.tenant_id) & (UserTenant.user_id == user_id) & (UserTenant.status == StatusEnum.VALID.value) & (UserTenant.role == UserTenantRole.OWNER)))
                     .where(cls.model.status == StatusEnum.VALID.value).dicts())
 
     @classmethod
@@ -115,7 +115,7 @@ def get_joined_tenants_by_user_id(cls, user_id):
             cls.model.img2txt_id,
             UserTenant.role]
         return list(cls.model.select(*fields)
-                    .join(UserTenant, on=((cls.model.id == UserTenant.tenant_id) & (UserTenant.user_id == user_id) & (UserTenant.status == StatusEnum.VALID.value) & (UserTenant.role == UserTenantRole.NORMAL.value)))
+                    .join(UserTenant, on=((cls.model.id == UserTenant.tenant_id) & (UserTenant.user_id == user_id) & (UserTenant.status == StatusEnum.VALID.value) & (UserTenant.role == UserTenantRole.NORMAL)))
                     .where(cls.model.status == StatusEnum.VALID.value).dicts())
 
     @classmethod
@@ -143,9 +143,8 @@ def save(cls, **kwargs):
     def get_by_tenant_id(cls, tenant_id):
         fields = [
             cls.model.user_id,
-            cls.model.tenant_id,
-            cls.model.role,
             cls.model.status,
+            cls.model.role,
             User.nickname,
             User.email,
             User.avatar,
@@ -153,8 +152,24 @@ def get_by_tenant_id(cls, tenant_id):
             User.is_active,
             User.is_anonymous,
             User.status,
+            User.update_date,
             User.is_superuser]
         return list(cls.model.select(*fields)
-                    .join(User, on=((cls.model.user_id == User.id) & (cls.model.status == StatusEnum.VALID.value)))
+                    .join(User, on=((cls.model.user_id == User.id) & (cls.model.status == StatusEnum.VALID.value) & (cls.model.role != UserTenantRole.OWNER)))
                     .where(cls.model.tenant_id == tenant_id)
-                    .dicts())
\ No newline at end of file
+                    .dicts())
+
+    @classmethod
+    @DB.connection_context()
+    def get_tenants_by_user_id(cls, user_id):
+        fields = [
+            cls.model.tenant_id,
+            cls.model.role,
+            User.nickname,
+            User.email,
+            User.avatar,
+            User.update_date
+        ]
+        return list(cls.model.select(*fields)
+                    .join(User, on=((cls.model.tenant_id == User.id) & (UserTenant.user_id == user_id) & (UserTenant.status == StatusEnum.VALID.value)))
+                    .where(cls.model.status == StatusEnum.VALID.value).dicts())
diff --git a/api/http_api.md b/api/http_api.md
index 87431c5df06..99c8363e6f5 100644
--- a/api/http_api.md
+++ b/api/http_api.md
@@ -432,18 +432,71 @@ The error response includes a JSON object like the following:
 }
 ```
 
+## Delete files from a dataset
+
+**DELETE** `/api/v1/dataset/{dataset_id}/document `
+
+Delete files from a dataset
+
+### Request
+
+- Method: DELETE
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/document`
+- Headers:
+  - 'Content-Type: application/json'
+  - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
+- Body:
+  - `ids`:List[str]
+#### Request example
+
+```bash
+curl --request DELETE \
+  --url http://{address}/api/v1/dataset/{dataset_id}/document \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: {YOUR ACCESS TOKEN}' \
+  --data '{
+  "ids": ["id_1","id_2"]
+  }'
+```
+
+#### Request parameters
+
+- `"ids"`: (*Body parameter*)
+    The ids of teh documents to be deleted
+### Response
+
+The successful response includes a JSON object like the following:
+
+```json
+{
+    "code": 0
+}.
+```
+
+- `"error_code"`: `integer`  
+  `0`: The operation succeeds.
+
+  
+The error response includes a JSON object like the following:
+
+```json
+{
+    "code": 102,
+    "message": "You do not own the dataset 7898da028a0511efbf750242ac1220005."
+}
+```
+
 ## Download a file from a dataset
 
 **GET** `/api/v1/dataset/{dataset_id}/document/{document_id}`
 
-Downloads files from a dataset. 
+Downloads a file from a dataset. 
 
 ### Request
 
 - Method: GET
-- URL: `/api/v1/dataset/{dataset_id}/document/{document_id}`
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}`
 - Headers:
-  - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
 - Output:
   - '{FILE_NAME}'
@@ -451,10 +504,9 @@ Downloads files from a dataset.
 
 ```bash
 curl --request GET \
-     --url http://{address}/api/v1/dataset/{dataset_id}/document/{documents_id} \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --output '{FILE_NAME}'
+  --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id} \
+  --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' \
+  --output ./ragflow.txt
 ```
 
 #### Request parameters
@@ -466,7 +518,7 @@ curl --request GET \
 
 ### Response
 
-The successful response includes a JSON object like the following:
+The successful response includes a text object like the following:
 
 ```text
 test_2.
@@ -596,92 +648,39 @@ Update a file in a dataset
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-
+- Body:
+  - `name`:`string`
+  - `parser_method`:`string`
+  - `parser_config`:`dict`
 #### Request example
 
 ```bash
 curl --request PUT \
-  --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id} \
+  --url http://{address}/api/v1/dataset/{dataset_id}/info/{document_id} \
   --header 'Authorization: Bearer {YOUR_ACCESS TOKEN}' \
   --header 'Content-Type: application/json' \
   --data '{
   "name": "manual.txt", 
-  "thumbnail": null, 
-  "knowledgebase_id": "779333c0758611ef910f0242ac120004", 
   "parser_method": "manual", 
-  "parser_config": {"chunk_token_count": 128, "delimiter": "\n!?。；！？", "layout_recognize": true, "task_page_size": 12}, 
-  "source_type": "local", "type": "doc", 
-  "created_by": "134408906b6811efbcd20242ac120005", 
-  "size": 0, "token_count": 0, "chunk_count": 0, 
-  "progress": 0.0, 
-  "progress_msg": "", 
-  "process_begin_at": null, 
-  "process_duration": 0.0
+  "parser_config": {"chunk_token_count": 128, "delimiter": "\n!?。；！？", "layout_recognize": true, "task_page_size": 12}
   }'
 
 ```
 
 #### Request parameters
 
-- `"thumbnail"`: (*Body parameter*)  
-    Thumbnail image of the document.  
-    - `""`
-
-- `"knowledgebase_id"`: (*Body parameter*)  
-    Knowledge base ID related to the document.  
-    - `""`
-
 - `"parser_method"`: (*Body parameter*)  
     Method used to parse the document.  
-    - `""`
+
 
 - `"parser_config"`: (*Body parameter*)  
     Configuration object for the parser.  
     - If the value is `None`, a dictionary with default values will be generated.
 
-- `"source_type"`: (*Body parameter*)  
-    Source type of the document.  
-    - `""`
-
-- `"type"`: (*Body parameter*)  
-    Type or category of the document.  
-    - `""`
-
-- `"created_by"`: (*Body parameter*)  
-    Creator of the document.  
-    - `""`
-
 - `"name"`: (*Body parameter*)  
     Name or title of the document.  
-    - `""`
-
-- `"size"`: (*Body parameter*)  
-    Size of the document in bytes or some other unit.  
-    - `0`
-
-- `"token_count"`: (*Body parameter*)  
-    Number of tokens in the document.  
-    - `0`
-
-- `"chunk_count"`: (*Body parameter*)  
-    Number of chunks the document is split into.  
-    - `0`
 
-- `"progress"`: (*Body parameter*)  
-    Current processing progress as a percentage.  
-    - `0.0`
 
-- `"progress_msg"`: (*Body parameter*)  
-    Message indicating current progress status.  
-    - `""`
-
-- `"process_begin_at"`: (*Body parameter*)  
-    Start time of the document processing.  
-    - `None`
-
-- `"process_duration"`: (*Body parameter*)  
-    Duration of the processing in seconds or minutes.  
-    - `0.0`
 
 
 ### Response
@@ -712,34 +711,34 @@ Parse files into chunks in a dataset
 ### Request
 
 - Method: POST
-- URL: `/api/v1/dataset/{dataset_id}/chunk`
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/chunk `
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
+- Body:
+  - `document_ids`:List[str]
 
 #### Request example
 
-```shell
+```bash
 curl --request POST \
-     --url http://{address}/api/v1/dataset/{dataset_id}/chunk \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --raw '{
-         "documents": ["f6b170ac758811efa0660242ac120004", "97ad64b6759811ef9fc30242ac120004"]
-     }'
+    --url http://{address}/api/v1/dataset/{dataset_id}/chunk \
+    --header 'Content-Type: application/json' \
+    --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' \
+    --data '{"document_ids": ["97a5f1c2759811efaa500242ac120004","97ad64b6759811ef9fc30242ac120004"]}'
 ```
 
 #### Request parameters
 
 - `"dataset_id"`: (*Path parameter*)
-- `"documents"`: (*Body parameter*)
-  - Documents to parse
+- `"document_ids"`:(*Body parameter*)  
+  The ids of the documents to be parsed
 
 ### Response
 
 The successful response includes a JSON object like the following:
 
-```shell
+```json
 {
     "code": 0
 }
@@ -747,10 +746,10 @@ The successful response includes a JSON object like the following:
   
 The error response includes a JSON object like the following:
 
-```shell
+```json
 {
-    "code": 3016,
-    "message": "Can't connect database"
+    "code": 102,
+    "message": "`document_ids` is required"
 }
 ```
 
@@ -762,35 +761,35 @@ Stop file parsing
 
 ### Request
 
-- Method: POST
-- URL: `/api/v1/dataset/{dataset_id}/chunk`
+- Method: DELETE
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/chunk`
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-
+- Body:
+  - `document_ids`:List[str]
 #### Request example
 
-```shell
+```bash
 curl --request DELETE \
-     --url http://{address}/api/v1/dataset/{dataset_id}/chunk \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --raw '{
-         "documents": ["f6b170ac758811efa0660242ac120004", "97ad64b6759811ef9fc30242ac120004"]
-     }'
+   --url http://{address}/api/v1/dataset/{dataset_id}/chunk \
+   --header 'Content-Type: application/json' \
+   --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' \
+   --data '{"document_ids": ["97a5f1c2759811efaa500242ac120004","97ad64b6759811ef9fc30242ac120004"]}'
 ```
 
 #### Request parameters
 
 - `"dataset_id"`: (*Path parameter*)
-- `"documents"`: (*Body parameter*)
-  - Documents to stop parsing
+- `"document_ids"`:(*Body parameter*)  
+  The ids of the documents to be parsed
+
 
 ### Response
 
 The successful response includes a JSON object like the following:
 
-```shell
+```json
 {
     "code": 0
 }
@@ -798,104 +797,98 @@ The successful response includes a JSON object like the following:
   
 The error response includes a JSON object like the following:
 
-```shell
+```json
 {
-    "code": 3016,
-    "message": "Can't connect database"
+    "code": 102,
+    "message": "`document_ids` is required"
 }
 ```
 
 ## Get document chunk list
 
-**GET** `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
+**GET** `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk?keywords={keywords}&offset={offset}&limit={limit}&id={id}`
 
 Get document chunk list
 
 ### Request
 
 - Method: GET
-- URL: `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk?keywords={keywords}&offset={offset}&limit={limit}&id={id}`
 - Headers:
-  - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
 
 #### Request example
 
-```shell
+```bash
 curl --request GET \
-     --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
+  --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk?keywords={keywords}&offset={offset}&limit={limit}&id={id} \
+  --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' 
 ```
 
 #### Request parameters
 
 - `"dataset_id"`: (*Path parameter*)
 - `"document_id"`: (*Path parameter*)
-
+- `"offset"`(*Filter parameter*)  
+  The beginning number of records for paging.
+- `"keywords"`(*Filter parameter*)  
+  List chunks whose name has the given keywords
+- `"limit"`(*Filter parameter*)  
+  Records number to return
+- `"id"`(*Filter parameter*)  
+  The id of chunk to be got
 ### Response
 
 The successful response includes a JSON object like the following:
 
-```shell
+```json
 {
-    "code": 0
+    "code": 0,
     "data": {
-        "chunks": [
-            {
-                "available_int": 1,
-                "content": "<em>advantag</em>of ragflow increas accuraci and relev:by incorpor retriev inform , ragflow can gener respons that are more accur",
-                "document_keyword": "ragflow_test.txt",
-                "document_id": "77df9ef4759a11ef8bdd0242ac120004",
-                "id": "4ab8c77cfac1a829c8d5ed022a0808c0",
-                "image_id": "",
-                "important_keywords": [],
-                "positions": [
-                    ""
-                ]
-            }
-        ],
+        "chunks": [],
         "doc": {
-            "chunk_count": 5,
-            "create_date": "Wed, 18 Sep 2024 08:46:16 GMT",
-            "create_time": 1726649176833,
-            "created_by": "134408906b6811efbcd20242ac120005",
-            "id": "77df9ef4759a11ef8bdd0242ac120004",
-            "knowledgebase_id": "77d9d24e759a11ef880c0242ac120004",
-            "location": "ragflow_test.txt",
-            "name": "ragflow_test.txt",
+            "chunk_num": 0,
+            "create_date": "Sun, 29 Sep 2024 03:47:29 GMT",
+            "create_time": 1727581649216,
+            "created_by": "69736c5e723611efb51b0242ac120007",
+            "id": "8cb781ec7e1511ef98ac0242ac120006",
+            "kb_id": "c7ee74067a2c11efb21c0242ac120006",
+            "location": "明天的天气是晴天.txt",
+            "name": "明天的天气是晴天.txt",
             "parser_config": {
-                "chunk_token_count": 128,
-                "delimiter": "\n!?。；！？",
-                "layout_recognize": true,
-                "task_page_size": 12
+                "pages": [
+                    [
+                        1,
+                        1000000
+                    ]
+                ]
             },
-            "parser_method": "naive",
-            "process_begin_at": "Wed, 18 Sep 2024 08:46:16 GMT",
-            "process_duation": 7.3213,
-            "progress": 1.0,
-            "progress_msg": "\nTask has been received.\nStart to parse.\nFinish parsing.\nFinished slicing files(5). Start to embedding the content.\nFinished embedding(6.16)! Start to build index!\nDone!",
-            "run": "3",
-            "size": 4209,
+            "parser_id": "naive",
+            "process_begin_at": "Tue, 15 Oct 2024 10:23:51 GMT",
+            "process_duation": 1435.37,
+            "progress": 0.0370833,
+            "progress_msg": "\nTask has been received.",
+            "run": "1",
+            "size": 24,
             "source_type": "local",
             "status": "1",
             "thumbnail": null,
-            "token_count": 746,
+            "token_num": 0,
             "type": "doc",
-            "update_date": "Wed, 18 Sep 2024 08:46:23 GMT",
-            "update_time": 1726649183321
+            "update_date": "Tue, 15 Oct 2024 10:47:46 GMT",
+            "update_time": 1728989266371
         },
-        "total": 1
-    },
+        "total": 0
+    }
 }
 ```
   
 The error response includes a JSON object like the following:
 
-```shell
+```json
 {
-    "code": 3016,
-    "message": "Can't connect database"
+    "code": 102,
+    "message": "You don't own the document 5c5999ec7be811ef9cab0242ac12000e5."
 }
 ```
 
@@ -908,55 +901,96 @@ Delete document chunks
 ### Request
 
 - Method: DELETE
-- URL: `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
+- Body:
+  - `chunk_ids`:List[str]
 
 #### Request example
 
-```shell
+```bash
 curl --request DELETE \
-     --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --raw '{
-         "chunks": ["f6b170ac758811efa0660242ac120004", "97ad64b6759811ef9fc30242ac120004"]
-     }'
+  --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' \
+  --data '{
+  "chunk_ids": ["test_1", "test_2"]
+  }'
 ```
+#### Request parameters
+
+- `"chunk_ids"`:(*Body parameter*)
+  The chunks of the document to be deleted
+
+### Response
+Success
+```json
+{
+    "code": 0
+}
+```
+Error
+```json
+{
+    "code": 102,
+    "message": "`chunk_ids` is required"
+}
+```
+
 
 ## Update document chunk
 
-**PUT** `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
+**PUT** `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk/{chunk_id}`
 
 Update document chunk
 
 ### Request
 
 - Method: PUT
-- URL: `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk/{chunk_id}`
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-
+- Body:
+  - `content`:str
+  - `important_keywords`:str
+  - `available`:int
 #### Request example
 
-```shell
+```bash
 curl --request PUT \
-     --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --raw '{
-        "chunk_id": "d87fb0b7212c15c18d0831677552d7de",  
-        "knowledgebase_id": null,  
-        "name": "",  
-        "content": "ragflow123",  
-        "important_keywords": [],   
-        "document_id": "e6bbba92759511efaa900242ac120004",  
-        "status": "1" 
-     }'
+  --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk/{chunk_id} \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: {YOUR_ACCESS_TOKEN}' \
+  --data '{   
+    "content": "ragflow123",  
+    "important_keywords": [],   
+}'
 ```
+#### Request parameters
+- `"content"`:(*Body parameter*)
+  Contains the main text or information of the chunk.
+- `"important_keywords"`:(*Body parameter*)
+  list the key terms or phrases that are significant or central to the chunk's content.
+- `"available"`:(*Body parameter*)
+   Indicating the availability status, 0 means unavailable and 1 means available.
 
+### Response
+Success
+```json
+{
+    "code": 0
+}
+```
+Error
+```json
+{
+    "code": 102,
+    "message": "Can't find this chunk 29a2d9987e16ba331fb4d7d30d99b71d2"
+}
+```
 ## Insert document chunks
 
 **POST** `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
@@ -966,50 +1000,187 @@ Insert document chunks
 ### Request
 
 - Method: POST
-- URL: `/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
+- URL: `http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk`
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-
+- Body:
+  - `content`: str
+  - `important_keywords`:List[str]
 #### Request example
 
-```shell
+```bash
 curl --request POST \
-     --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --raw '{
-         "document_id": "97ad64b6759811ef9fc30242ac120004",
-         "content": ["ragflow content", "ragflow content"]
-     }'
+  --url http://{address}/api/v1/dataset/{dataset_id}/document/{document_id}/chunk \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' \
+  --data '{
+    "content": "ragflow content"
+}'
 ```
+#### Request parameters
+- `content`:(*Body parameter*)  
+  Contains the main text or information of the chunk.
+- `important_keywords`(*Body parameter*)  
+  list the key terms or phrases that are significant or central to the chunk's content.
 
+### Response
+Success
+```json
+{
+    "code": 0,
+    "data": {
+        "chunk": {
+            "content": "ragflow content",
+            "create_time": "2024-10-16 08:05:04",
+            "create_timestamp": 1729065904.581025,
+            "dataset_id": [
+                "c7ee74067a2c11efb21c0242ac120006"
+            ],
+            "document_id": "5c5999ec7be811ef9cab0242ac120005",
+            "id": "d78435d142bd5cf6704da62c778795c5",
+            "important_keywords": []
+        }
+    }
+}
+```
+
+Error
+```json
+{
+    "code": 102,
+    "message": "`content` is required"
+}
+```
 ## Dataset retrieval test
 
-**GET** `/api/v1/dataset/{dataset_id}/retrieval`
+**GET** `/api/v1/retrieval`
 
 Retrieval test of a dataset
 
 ### Request
 
-- Method: GET
-- URL: `/api/v1/dataset/{dataset_id}/retrieval`
+- Method: POST
+- URL: `http://{address}/api/v1/retrieval`
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-
+- Body:
+  - `question`: str  
+  - `datasets`: List[str]  
+  - `documents`: List[str]
+  - `offset`: int  
+  - `limit`: int  
+  - `similarity_threshold`: float  
+  - `vector_similarity_weight`: float  
+  - `top_k`: int  
+  - `rerank_id`: string  
+  - `keyword`: bool  
+  - `highlight`: bool
 #### Request example
 
-```shell
-curl --request GET \
-     --url http://{address}/api/v1/dataset/{dataset_id}/retrieval \
-     --header 'Content-Type: application/json' \
-     --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
-     --raw '{
-         "query_text": "This is a cat."
-     }'
+```bash
+curl --request POST \
+  --url http://{address}/api/v1/retrieval \
+  --header 'Content-Type: application/json' \
+  --header 'Authorization: {YOUR_ACCESS_TOKEN}' \
+  --data '{
+    "question": "What is advantage of ragflow?",
+    "datasets": [
+        "b2a62730759d11ef987d0242ac120004"
+    ],
+    "documents": [
+        "77df9ef4759a11ef8bdd0242ac120004"
+    ]
+}'
 ```
 
+#### Request parameter
+- `"question"`: (*Body parameter*)  
+  User's question, search keywords  
+  `""`
+- `"datasets"`: (*Body parameter*)  
+  The scope of datasets  
+  `None`
+- `"documents"`: (*Body parameter*)  
+  The scope of document. `None` means no limitation  
+  `None`
+- `"offset"`: (*Body parameter*)  
+  The beginning point of retrieved records  
+  `1`
+
+- `"limit"`: (*Body parameter*)  
+  The maximum number of records needed to return  
+  `30`
+
+- `"similarity_threshold"`: (*Body parameter*)  
+  The minimum similarity score  
+  `0.2`
+
+- `"vector_similarity_weight"`: (*Body parameter*)  
+  The weight of vector cosine similarity, `1 - x` is the term similarity weight  
+  `0.3`
+
+- `"top_k"`: (*Body parameter*)  
+  Number of records engaged in vector cosine computation  
+  `1024`
+
+- `"rerank_id"`: (*Body parameter*)  
+  ID of the rerank model  
+  `None`
+
+- `"keyword"`: (*Body parameter*)  
+  Whether keyword-based matching is enabled  
+  `False`
+
+- `"highlight"`: (*Body parameter*)  
+  Whether to enable highlighting of matched terms in the results  
+  `False`
+### Response
+Success
+```json
+{
+    "code": 0,
+    "data": {
+        "chunks": [
+            {
+                "content": "ragflow content",
+                "content_ltks": "ragflow content",
+                "document_id": "5c5999ec7be811ef9cab0242ac120005",
+                "document_keyword": "1.txt",
+                "highlight": "<em>ragflow</em> content",
+                "id": "d78435d142bd5cf6704da62c778795c5",
+                "img_id": "",
+                "important_keywords": [
+                    ""
+                ],
+                "kb_id": "c7ee74067a2c11efb21c0242ac120006",
+                "positions": [
+                    ""
+                ],
+                "similarity": 0.9669436601210759,
+                "term_similarity": 1.0,
+                "vector_similarity": 0.8898122004035864
+            }
+        ],
+        "doc_aggs": [
+            {
+                "count": 1,
+                "doc_id": "5c5999ec7be811ef9cab0242ac120005",
+                "doc_name": "1.txt"
+            }
+        ],
+        "total": 1
+    }
+}
+```
+Error
+```json
+{
+    "code": 102,
+    "message": "`datasets` is required."
+}
+```
 ## Create chat
 
 **POST** `/api/v1/chat`
@@ -1708,26 +1879,27 @@ Error
 
 ## Chat with a chat session
 
-**POST** `/api/v1/chat/{chat_id}/session/{session_id}/completion`
+**POST** `/api/v1/chat/{chat_id}/completion`
 
 Chat with a chat session
 
 ### Request
 
 - Method: POST
-- URL: `http://{address} /api/v1/chat/{chat_id}/session/{session_id}/completion`
+- URL: `http://{address} /api/v1/chat/{chat_id}/completion`
 - Headers:
   - `content-Type: application/json`
   - 'Authorization: Bearer {YOUR_ACCESS_TOKEN}'
 - Body:
   - `question`: string
   - `stream`: bool
+  - `session_id`: str
 
 
 #### Request example
 ```bash
 curl --request POST \
-  --url http://{address} /api/v1/chat/{chat_id}/session/{session_id}/completion \
+  --url http://{address} /api/v1/chat/{chat_id}/completion \
   --header 'Content-Type: application/json' \
   --header 'Authorization: Bearer {YOUR_ACCESS_TOKEN}' \
   --data-binary '{
@@ -1743,6 +1915,8 @@ curl --request POST \
 - `stream`: (*Body Parameter*)  
     The approach of streaming text generation.
     `False`
+- `session_id`: (*Body Parameter*)  
+    The id of session.If not provided, a new session will be generated.
 ### Response
 Success
 ```json
diff --git a/api/python_api_reference.md b/api/python_api_reference.md
index 60c2d2e4d41..ff141633638 100644
--- a/api/python_api_reference.md
+++ b/api/python_api_reference.md
@@ -137,7 +137,7 @@ RAGFlow.list_datasets(
     desc: bool = True,
     id: str = None,
     name: str = None
-) -> List[DataSet]
+) -> list[DataSet]
 ```
 
 Retrieves a list of knowledge bases.
@@ -244,42 +244,117 @@ File management inside knowledge base
 ## Upload document
 
 ```python
-RAGFLOW.upload_document(ds:DataSet, name:str, blob:bytes)-> bool
+DataSet.upload_documents(document_list: list[dict])
 ```
 
 ### Parameters
 
-#### name
+#### document_list:`list[dict]`
+A list composed of dicts containing `name` and `blob`.
+
+
+### Returns
+no return
+
+### Examples
+```python
+from ragflow import RAGFlow
+
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.create_dataset(name="kb_1")
+ds.upload_documents([{name="1.txt", blob="123"}, ...] }
+```
+---
+
+## Update document
+
+```python
+Document.update(update_message:dict)
+```
+
+### Parameters
 
-#### blob
+#### update_message:`dict`  
+only `name`,`parser_config`,`parser_method` can be changed
+
+### Returns
+
+no return
+
+### Examples
+
+```python
+from ragflow import RAGFlow
+
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds=rag.list_datasets(id='id')
+ds=ds[0]
+doc = ds.list_documents(id="wdfxb5t547d")
+doc = doc[0]
+doc.update([{"parser_method": "manual"...}])
+```
+
+---
 
+## Download document
 
+```python
+Document.download() -> bytes
+```
 
 ### Returns
 
+bytes of the document.
 
 ### Examples
 
+```python
+from ragflow import RAGFlow
+
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds=rag.list_datasets(id="id")
+ds=ds[0]
+doc = ds.list_documents(id="wdfxb5t547d")
+doc = doc[0]
+open("~/ragflow.txt", "wb+").write(doc.download())
+print(doc)
+```
+
 ---
 
-## Retrieve document
+## List documents
 
 ```python
-RAGFlow.get_document(id:str=None,name:str=None) -> Document
+Dataset.list_documents(id:str =None, keywords: str=None, offset: int=0, limit:int = 1024,order_by:str = "create_time", desc: bool = True) -> list[Document]
 ```
 
 ### Parameters
 
-#### id: `str`, *Required*
+#### id: `str`
 
-ID of the document to retrieve.
+The id of the document to be got
 
-#### name: `str`
+#### keywords: `str`
+
+List documents whose name has the given keywords. Defaults to `None`.
+
+#### offset: `int`
+
+The beginning number of records for paging. Defaults to `0`.
+
+#### limit: `int`
+
+Records number to return, -1 means all of them. Records number to return, -1 means all of them.
 
-Name or title of the document.
+#### orderby: `str`
+The field by which the records should be sorted. This specifies the attribute or column used to order the results.
 
+#### desc:`bool`
+A boolean flag indicating whether the sorting should be in descending order.
 ### Returns
 
+list[Document]  
+
 A document object containing the following attributes:
 
 #### id: `str`
@@ -352,98 +427,14 @@ Duration of the processing in seconds or minutes. Defaults to `0.0`.
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-doc = rag.get_document(id="wdfxb5t547d",name='testdocument.txt')
-print(doc)
-```
-
----
-
-## Save document settings
-
-```python
-Document.save() -> bool
-```
-
-### Returns
-
-bool
-
-### Examples
-
-```python
-from ragflow import RAGFlow
-
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-doc = rag.get_document(id="wdfxb5t547d")
-doc.parser_method= "manual"
-doc.save()
-```
-
----
-
-## Download document
-
-```python
-Document.download() -> bytes
-```
-
-### Returns
-
-bytes of the document.
-
-### Examples
-
-```python
-from ragflow import RAGFlow
-
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-doc = rag.get_document(id="wdfxb5t547d")
-open("~/ragflow.txt", "w+").write(doc.download())
-print(doc) 
-```
-
----
-
-## List documents
-
-```python
-Dataset.list_docs(keywords: str=None, offset: int=0, limit:int = -1) -> List[Document]
-```
-
-### Parameters
-
-#### keywords: `str`
-
-List documents whose name has the given keywords. Defaults to `None`.
-
-#### offset: `int`
-
-The beginning number of records for paging. Defaults to `0`.
-
-#### limit: `int`
-
-Records number to return, -1 means all of them. Records number to return, -1 means all of them.
-
-### Returns
-
-List[Document]
-
-### Examples
-
-```python
-from ragflow import RAGFlow
-
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
 ds = rag.create_dataset(name="kb_1")
 
 filename1 = "~/ragflow.txt"
-rag.create_document(ds, name=filename1 , blob=open(filename1 , "rb").read())
-
-filename2 = "~/infinity.txt"
-rag.create_document(ds, name=filename2 , blob=open(filename2 , "rb").read())
-
-for d in ds.list_docs(keywords="rag", offset=0, limit=12):
+blob=open(filename1 , "rb").read()
+list_files=[{"name":filename1,"blob":blob}]
+ds.upload_documents(list_files)
+for d in ds.list_documents(keywords="rag", offset=0, limit=12):
     print(d)
 ```
 
@@ -452,132 +443,99 @@ for d in ds.list_docs(keywords="rag", offset=0, limit=12):
 ## Delete documents
 
 ```python
-Document.delete() -> bool
+DataSet.delete_documents(ids: list[str] = None)
 ```
 ### Returns
 
-bool
-description: delete success or not
+no return
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-ds = rag.create_dataset(name="kb_1")
-
-filename1 = "~/ragflow.txt"
-rag.create_document(ds, name=filename1 , blob=open(filename1 , "rb").read())
-
-filename2 = "~/infinity.txt"
-rag.create_document(ds, name=filename2 , blob=open(filename2 , "rb").read())
-for d in ds.list_docs(keywords="rag", offset=0, limit=12):
-    d.delete()
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.list_datasets(name="kb_1")
+ds = ds[0]
+ds.delete_documents(ids=["id_1","id_2"])
 ```
 
 ---
 
-## Parse document
+## Parse and stop parsing document
 
 ```python
-Document.async_parse() -> None
-RAGFLOW.async_parse_documents() -> None
+DataSet.async_parse_documents(document_ids:list[str]) -> None
+DataSet.async_cancel_parse_documents(document_ids:list[str])-> None
 ```
 
 ### Parameters
 
+#### document_ids:`list[str]`
+The ids of the documents to be parsed
 ????????????????????????????????????????????????????
 
 ### Returns
-
+no return
 ????????????????????????????????????????????????????
 
 ### Examples
 
-```python
-#document parse and cancel
-rag = RAGFlow(API_KEY, HOST_ADDRESS)
-ds = rag.create_dataset(name="dataset_name")
-name3 = 'ai.pdf'
-path = 'test_data/ai.pdf'
-rag.create_document(ds, name=name3, blob=open(path, "rb").read())
-doc = rag.get_document(name="ai.pdf")
-doc.async_parse()
-print("Async parsing initiated")
-```
-
----
-
-## Cancel document parsing
-
-```python
-rag.async_cancel_parse_documents(ids)
-RAGFLOW.async_cancel_parse_documents()-> None
-```
-
-### Parameters
-
-#### ids, `list[]`
-
-### Returns
-
-?????????????????????????????????????????????????
-
-### Examples
-
 ```python
 #documents parse and cancel
 rag = RAGFlow(API_KEY, HOST_ADDRESS)
 ds = rag.create_dataset(name="God5")
 documents = [
-    {'name': 'test1.txt', 'path': 'test_data/test1.txt'},
-    {'name': 'test2.txt', 'path': 'test_data/test2.txt'},
-    {'name': 'test3.txt', 'path': 'test_data/test3.txt'}
+    {'name': 'test1.txt', 'blob': open('./test_data/test1.txt',"rb").read()},
+    {'name': 'test2.txt', 'blob': open('./test_data/test2.txt',"rb").read()},
+    {'name': 'test3.txt', 'blob': open('./test_data/test3.txt',"rb").read()}
 ]
-
-# Create documents in bulk
-for doc_info in documents:
-    with open(doc_info['path'], "rb") as file:
-        created_doc = rag.create_document(ds, name=doc_info['name'], blob=file.read())
-docs = [rag.get_document(name=doc_info['name']) for doc_info in documents]
-ids = [doc.id for doc in docs]
-
-rag.async_parse_documents(ids)
+ds.upload_documents(documents)
+documents=ds.list_documents(keywords="test")
+ids=[]
+for document in documents:
+    ids.append(document.id)
+ds.async_parse_documents(ids)
 print("Async bulk parsing initiated")
-
-for doc in docs:
-    for progress, msg in doc.join(interval=5, timeout=10):
-        print(f"{doc.name}: Progress: {progress}, Message: {msg}")
-
-cancel_result = rag.async_cancel_parse_documents(ids)
+ds.async_cancel_parse_documents(ids)
 print("Async bulk parsing cancelled")
 ```
 
----
-
-## Join document
-
-??????????????????
-
+## List chunks
 ```python
-Document.join(interval=15, timeout=3600) -> iteral[Tuple[float, str]]
+Document.list_chunks(keywords: str = None, offset: int = 0, limit: int = -1, id : str = None) -> list[Chunk]
 ```
-
 ### Parameters
 
-#### interval: `int`
-
-Time interval in seconds for progress report. Defaults to `15`.
+- `keywords`: `str`  
+  List chunks whose name has the given keywords  
+  default: `None`
 
-#### timeout: `int`
+- `offset`: `int`  
+  The beginning number of records for paging  
+  default: `1`
 
-Timeout in seconds. Defaults to `3600`.
+- `limit`: `int`  
+  Records number to return  
+  default: `30`
 
+- `id`: `str`  
+  The ID of the chunk to be retrieved  
+  default: `None`
 ### Returns
+list[chunk]
 
-iteral[Tuple[float, str]]
+### Examples
+```python
+from ragflow import RAGFlow
 
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.list_datasets("123")
+ds = ds[0]
+ds.async_parse_documents(["wdfxb5t547d"])
+for c in doc.list_chunks(keywords="rag", offset=0, limit=12):
+    print(c)
+```
 ## Add chunk
 
 ```python
@@ -587,6 +545,9 @@ Document.add_chunk(content:str) -> Chunk
 ### Parameters
 
 #### content: `str`, *Required*
+Contains the main text or information of the chunk.
+#### important_keywords :`list[str]`
+list the key terms or phrases that are significant or central to the chunk's content.
 
 ### Returns
 
@@ -597,8 +558,11 @@ chunk
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-doc = rag.get_document(id="wdfxb5t547d")
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.list_datasets(id="123")
+ds = ds[0]
+doc = ds.list_documents(id="wdfxb5t547d")
+doc = doc[0]
 chunk = doc.add_chunk(content="xxxxxxx")
 ```
 
@@ -607,46 +571,63 @@ chunk = doc.add_chunk(content="xxxxxxx")
 ## Delete chunk
 
 ```python
-Chunk.delete() -> bool
+Document.delete_chunks(chunk_ids: list[str])
 ```
+### Parameters
+#### chunk_ids:`list[str]`
+The list of chunk_id
 
 ### Returns
 
-bool
+no return
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-doc = rag.get_document(id="wdfxb5t547d")
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.list_datasets(id="123")
+ds = ds[0]
+doc = ds.list_documents(id="wdfxb5t547d")
+doc = doc[0]
 chunk = doc.add_chunk(content="xxxxxxx")
-chunk.delete()
+doc.delete_chunks(["id_1","id_2"])
 ```
 
 ---
 
-## Save chunk contents
+## Update chunk
 
 ```python
-Chunk.save() -> bool
+Chunk.update(update_message: dict)
 ```
+### Parameters
+- `content`: `str`  
+  Contains the main text or information of the chunk
+
+- `important_keywords`: `list[str]`  
+  List the key terms or phrases that are significant or central to the chunk's content
+
+- `available`: `int`  
+  Indicating the availability status, `0` means unavailable and `1` means available
 
 ### Returns
 
-bool
+no return
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-doc = rag.get_document(id="wdfxb5t547d")
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.list_datasets(id="123")
+ds = ds[0]
+doc = ds.list_documents(id="wdfxb5t547d")
+doc = doc[0]
 chunk = doc.add_chunk(content="xxxxxxx")
-chunk.content = "sdfx"
-chunk.save()
+chunk.update({"content":"sdfx...})
 ```
 
 ---
@@ -654,7 +635,7 @@ chunk.save()
 ## Retrieval
 
 ```python
-RAGFlow.retrieval(question:str, datasets:List[Dataset], document=List[Document]=None,     offset:int=0, limit:int=6, similarity_threshold:float=0.1, vector_similarity_weight:float=0.3, top_k:int=1024) -> List[Chunk]
+RAGFlow.retrieve(question:str="", datasets:list[str]=None, document=list[str]=None, offset:int=1, limit:int=30, similarity_threshold:float=0.2, vector_similarity_weight:float=0.3, top_k:int=1024,rerank_id:str=None,keyword:bool=False,higlight:bool=False) -> list[Chunk]
 ```
 
 ### Parameters
@@ -663,11 +644,11 @@ RAGFlow.retrieval(question:str, datasets:List[Dataset], document=List[Document]=
 
 The user query or query keywords. Defaults to `""`.
 
-#### datasets: `List[Dataset]`, *Required*
+#### datasets: `list[Dataset]`, *Required*
 
 The scope of datasets.
 
-#### document: `List[Document]`
+#### document: `list[Document]`
 
 The scope of document. `None` means no limitation. Defaults to `None`.
 
@@ -691,28 +672,36 @@ The weight of vector cosine similarity, 1 - x is the term similarity weight. Def
 
 Number of records engaged in vector cosine computaton. Defaults to `1024`.
 
+#### rerank_id:`str`
+ID of the rerank model.  Defaults to `None`.
+
+#### keyword:`bool`
+Indicating whether keyword-based matching is enabled (True) or disabled (False).
+
+#### highlight:`bool`
+
+Specifying whether to enable highlighting of matched terms in the results (True) or not (False).
 ### Returns
 
-List[Chunk]
+list[Chunk]
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-ds = rag.get_dataset(name="ragflow")
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+ds = rag.list_datasets(name="ragflow")
+ds = ds[0]
 name = 'ragflow_test.txt'
-path = 'test_data/ragflow_test.txt'
+path = './test_data/ragflow_test.txt'
 rag.create_document(ds, name=name, blob=open(path, "rb").read())
-doc = rag.get_document(name=name)
-doc.async_parse()
-# Wait for parsing to complete 
-for progress, msg in doc.join(interval=5, timeout=30):
-    print(progress, msg)
-for c in rag.retrieval(question="What's ragflow?", 
-             datasets=[ds], documents=[doc], 
-             offset=0, limit=6, similarity_threshold=0.1, 
+doc = ds.list_documents(name=name)
+doc = doc[0]
+ds.async_parse_documents([doc.id])
+for c in rag.retrieve(question="What's ragflow?", 
+             datasets=[ds.id], documents=[doc.id], 
+             offset=1, limit=30, similarity_threshold=0.2, 
              vector_similarity_weight=0.3,
              top_k=1024
              ):
@@ -725,20 +714,20 @@ for c in rag.retrieval(question="What's ragflow?",
 Chat APIs
 :::
 
-## Create chat
-
-Creates a chat assistant.
+## Create chat assistant
 
 ```python
 RAGFlow.create_chat(
     name: str = "assistant", 
     avatar: str = "path", 
-    knowledgebases: List[DataSet] = ["kb1"], 
+    knowledgebases: list[DataSet] = [], 
     llm: Chat.LLM = None, 
     prompt: Chat.Prompt = None
 ) -> Chat
 ```
 
+Creates a chat assistant.
+
 ### Returns
 
 - Success: A `Chat` object representing the chat assistant.
@@ -763,7 +752,7 @@ The llm of the created chat. Defaults to `None`. When the value is `None`, a dic
 - **model_name**, `str`  
   The chat model name. If it is `None`, the user's default chat model will be returned.  
 - **temperature**, `float`  
-  This parameter controls the randomness of predictions by the model. A lower temperature makes the model more confident in its responses, while a higher temperature makes it more creative and diverse. Defaults to `0.1`.  
+  Controls the randomness of the model's predictions. A lower temperature increases the model's conficence in its responses; a higher temperature increases creativity and diversity. Defaults to `0.1`.  
 - **top_p**, `float`  
   Also known as “nucleus sampling”, this parameter sets a threshold to select a smaller set of words to sample from. It focuses on the most likely words, cutting off the less probable ones. Defaults to `0.3`  
 - **presence_penalty**, `float`  
@@ -775,14 +764,20 @@ The llm of the created chat. Defaults to `None`. When the value is `None`, a dic
 
 #### Prompt: `str`
 
-Instructions for LLM's responses, including character design, answer length, and language. Defaults to:
-
-```
-You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. Please list the data in the knowledge base and answer in detail. When all knowledge base content is irrelevant to the question, your answer must include the sentence "The answer you are looking for is not found in the knowledge base!" Answers need to consider chat history.
+Instructions for the LLM to follow.
+
+- `"similarity_threshold"`: `float` A similarity score to evaluate distance between two lines of text. It's weighted keywords similarity and vector cosine similarity. If the similarity between query and chunk is less than this threshold, the chunk will be filtered out. Defaults to `0.2`.
+- `"keywords_similarity_weight"`: `float` It's weighted keywords similarity and vector cosine similarity or rerank score (0~1). Defaults to `0.7`.
+- `"top_n"`: `int` Not all the chunks whose similarity score is above the 'similarity threshold' will be feed to LLMs. LLM can only see these 'Top N' chunks. Defaults to `8`.
+- `"variables"`: `list[dict[]]` If you use dialog APIs, the variables might help you chat with your clients with different strategies. The variables are used to fill in the 'System' part in prompt in order to give LLM a hint. The 'knowledge' is a very special variable which will be filled-in with the retrieved chunks. All the variables in 'System' should be curly bracketed. Defaults to `[{"key": "knowledge", "optional": True}]`
+- `"rerank_model"`: `str` If it is not specified, vector cosine similarity will be used; otherwise, reranking score will be used. Defaults to `""`.
+- `"empty_response"`: `str` If nothing is retrieved in the knowledge base for the user's question, this will be used as the response. To allow the LLM to improvise when nothing is retrieved, leave this blank. Defaults to `None`.
+- `"opener"`: `str` The opening greeting for the user. Defaults to `"Hi! I am your assistant, can I help you?"`.
+- `"show_quote`: `bool` Indicates whether the source of text should be displayed Defaults to `True`.
+- `"prompt"`: `str` The prompt content. Defaults to `You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. Please list the data in the knowledge base and answer in detail. When all knowledge base content is irrelevant to the question, your answer must include the sentence "The answer you are looking for is not found in the knowledge base!" Answers need to consider chat history.
       Here is the knowledge base:
       {knowledge}
-      The above is the knowledge base.
-```
+      The above is the knowledge base.`.
 
 ### Examples
 
@@ -798,12 +793,12 @@ assistant = rag.create_chat("Miss R", knowledgebases=knowledge_base)
 
 ## Update chat
 
-Updates the current chat assistant.
-
 ```python
 Chat.update(update_message: dict)
 ```
 
+Updates the current chat assistant.
+
 ### Parameters
 
 #### update_message: `dict[str, Any]`, *Required*
@@ -811,14 +806,26 @@ Chat.update(update_message: dict)
 - `"name"`: `str` The name of the chat assistant to update.
 - `"avatar"`: `str` Base64 encoding of the avatar. Defaults to `""`
 - `"knowledgebases"`: `list[str]` Knowledge bases to update.
-- `"llm"`: `dict` llm settings
-  - `"model_name"`, `str` The chat model name.   
-  - `"temperature"`, `float` This parameter controls the randomness of predictions by the model.  
+- `"llm"`: `dict` The LLM settings:
+  - `"model_name"`, `str` The chat model name.
+  - `"temperature"`, `float` Controls the randomness of the model's predictions.  
   - `"top_p"`, `float` Also known as “nucleus sampling”, this parameter sets a threshold to select a smaller set of words to sample from.  
-  - `"presence_penalty"`, `float` This discourages the model from repeating the same information by penalizing words that have already appeared in the conversation.
-  - `"frequency penalty"`, `float` Similar to the presence penalty, this reduces the model’s tendency to repeat the same words frequently.
+  - `"presence_penalty"`, `float` This discourages the model from repeating the same information by penalizing words that have appeared in the conversation.
+  - `"frequency penalty"`, `float` Similar to presence penalty, this reduces the model’s tendency to repeat the same words.
   - `"max_token"`, `int` This sets the maximum length of the model’s output, measured in the number of tokens (words or pieces of words).
-- `"prompt"` : Instructions for LLM's responses, including character design, answer length, and language.
+- `"prompt"` : Instructions for the LLM to follow.
+  - `"similarity_threshold"`: `float` A score to evaluate distance between two lines of text. It's weighted keywords similarity and vector cosine similarity. If the similarity between query and chunk is less than this threshold, the chunk will be filtered out. Defaults to `0.2`.
+  - `"keywords_similarity_weight"`: `float` It's weighted keywords similarity and vector cosine similarity or rerank score (0~1). Defaults to `0.7`.
+  - `"top_n"`: `int` Not all the chunks whose similarity score is above the 'similarity threshold' will be feed to LLMs. LLM can only see these 'Top N' chunks. Defaults to `8`.
+  - `"variables"`: `list[dict[]]` If you use dialog APIs, the variables might help you chat with your clients with different strategies. The variables are used to fill in the 'System' part in prompt in order to give LLM a hint. The 'knowledge' is a very special variable which will be filled-in with the retrieved chunks. All the variables in 'System' should be curly bracketed. Defaults to `[{"key": "knowledge", "optional": True}]`
+  - `"rerank_model"`: `str` If it is not specified, vector cosine similarity will be used; otherwise, reranking score will be used. Defaults to `""`.
+  - `"empty_response"`: `str` If nothing is retrieved in the knowledge base for the user's question, this will be used as the response. To allow the LLM to improvise when nothing is retrieved, leave this blank. Defaults to `None`.
+  - `"opener"`: `str` The opening greeting for the user. Defaults to `"Hi! I am your assistant, can I help you?"`.
+  - `"show_quote`: `bool` Indicates whether the source of text should be displayed Defaults to `True`.
+  - `"prompt"`: `str` The prompt content. Defaults to `You are an intelligent assistant. Please summarize the content of the knowledge base to answer the question. Please list the data in the knowledge base and answer in detail. When all knowledge base content is irrelevant to the question, your answer must include the sentence "The answer you are looking for is not found in the knowledge base!" Answers need to consider chat history.
+      Here is the knowledge base:
+      {knowledge}
+      The above is the knowledge base.`.
 
 ### Returns
 
@@ -833,8 +840,7 @@ from ragflow import RAGFlow
 rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
 knowledge_base = rag.list_datasets(name="kb_1")
 assistant = rag.create_chat("Miss R", knowledgebases=knowledge_base)
-assistant.update({"llm": {"temperature":0.8}})
-
+assistant.update({"name": "Stefan", "llm": {"temperature": 0.8}, "prompt": {"top_n": 8}})
 ```
 
 ---
@@ -844,14 +850,14 @@ assistant.update({"llm": {"temperature":0.8}})
 Deletes specified chat assistants.
 
 ```python
-RAGFlow.delete_chats(ids: List[str] = None)
+RAGFlow.delete_chats(ids: list[str] = None)
 ```
 
 ### Parameters
 
 #### ids
 
-IDs of the chat assistants to delete.
+IDs of the chat assistants to delete. If not specified, all chat assistants will be deleted.
 
 ### Returns
 
@@ -879,14 +885,14 @@ RAGFlow.list_chats(
     desc: bool = True,
     id: str = None,
     name: str = None
-) -> List[Chat]
+) -> list[Chat]
 ```
 
 ### Parameters
 
 #### page
 
-The current page number to retrieve from the paginated results. Defaults to `1`.
+Specifies the page on which the records will be displayed. Defaults to `1`.
 
 #### page_size
 
@@ -902,15 +908,15 @@ Indicates whether to sort the results in descending order. Defaults to `True`.
 
 #### id: `string`  
 
-The ID of the chat to be retrieved. Defaults to `None`.
+The ID of the chat to retrieve. Defaults to `None`.
 
 #### name: `string`  
 
-The name of the chat to be retrieved. Defaults to `None`.
+The name of the chat to retrieve. Defaults to `None`.
 
 ### Returns
 
-- Success: A list of `Chat` objects representing the retrieved knowledge bases.
+- Success: A list of `Chat` objects.
 - Failure: `Exception`.
 
 ### Examples
@@ -935,69 +941,63 @@ Chat-session APIs
 Chat.create_session(name: str = "New session") -> Session
 ```
 
-### Returns
-
-A `session` object.
+Creates a chat session.
 
-#### id: `str`
-
-The id of the created session is used to identify different sessions.
-- id can not be provided in creating
-
-#### name: `str`
-
-The name of the created session. Defaults to `"New session"`.
-
-#### messages: `List[Message]`
-
-The messages of the created session.
-- messages cannot be provided.
-
-Defaults:
+### Parameters
 
-??????????????????????????????????????????????????????????????????????????????????????????????
+#### name
 
-```
-[{"role": "assistant", "content": "Hi! I am your assistant，can I help you?"}]
-```
+The name of the chat session to create.
 
-#### chat_id: `str`
+### Returns
 
-The id of associated chat
-- `chat_id` can't be changed
+- Success: A `Session` object containing the following attributes:
+  - `id`: `str` The auto-generated unique identifier of the created session.
+  - `name`: `str` The name of the created session.
+  - `message`: `list[Message]` The messages of the created session assistant. Default: `[{"role": "assistant", "content": "Hi! I am your assistant，can I help you?"}]`
+  - `chat_id`: `str` The ID of the associated chat assistant.
+- Failure: `Exception`
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-assi = rag.list_chats(name="Miss R")
-assi = assi[0]
-sess = assi.create_session()
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag.list_chats(name="Miss R")
+assistant = assistant[0]
+session = assistant.create_session()
 ```
 
-
 ## Update session
 
 ```python
-Session.update(update_message:dict)
+Session.update(update_message: dict)
 ```
 
+Updates the current session.
+
+### Parameters
+
+#### update_message: `dict[str, Any]`, *Required*
+
+- `"name"`: `str` The name of the session to update.
+
 ### Returns
 
-no return
+- Success: No value is returned.
+- Failure: `Exception`
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-assi = rag.list_chats(name="Miss R")
-assi = assi[0]
-sess = assi.create_session("new_session")
-sess.update({"name": "Updated session"...})
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag.list_chats(name="Miss R")
+assistant = assistant[0]
+session = assistant.create_session("session_name")
+session.update({"name": "updated_name"})
 ```
 
 ---
@@ -1010,64 +1010,66 @@ Session.ask(question: str, stream: bool = False) -> Optional[Message, iter[Messa
 
 ### Parameters
 
-#### question: `str`, *Required*
-
-The question to start an AI chat. Defaults to `None`. ???????????????????
+#### question *Required*
 
-#### stream: `bool`
+The question to start an AI chat. Defaults to `None`.
 
-The approach of streaming text generation. When stream is True, it outputs results in a streaming fashion; otherwise, it outputs the complete result after the model has finished generating.
+#### stream
 
+Indicates whether to output responses in a streaming way. Defaults to `False`.
 
 ### Returns
 
-[Message, iter[Message]]
+Optional[Message, iter[Message]]
+
+- Message object, if `stream` is set to `False`
+- iter[Message] object, if `stream` is set to `True`
 
 #### id: `str`
 
-The id of the message. `id` is automatically generated. Defaults to `None`. ???????????????????
+The ID of the message. `id` is automatically generated. 
 
 #### content: `str`
 
 The content of the message. Defaults to `"Hi! I am your assistant, can I help you?"`.
 
-#### reference: `List[Chunk]`
+#### reference: `list[Chunk]`
 
 The auto-generated reference of the message. Each `chunk` object includes the following attributes:
 
 - **id**: `str`  
-  The id of the chunk. ?????????????????  
+  The id of the chunk. 
 - **content**: `str`  
-  The content of the chunk. Defaults to `None`. ?????????????????????  
+  The content of the chunk. 
 - **document_id**: `str`  
-  The ID of the document being referenced. Defaults to `""`.  
+  The ID of the document being referenced. 
 - **document_name**: `str`  
-  The name of the referenced document being referenced. Defaults to `""`.  
+  The name of the referenced document being referenced.
 - **knowledgebase_id**: `str`  
-  The id of the knowledge base to which the relevant document belongs. Defaults to `""`.  
+  The id of the knowledge base to which the relevant document belongs.
 - **image_id**: `str`  
-  The id of the image related to the chunk. Defaults to `""`.  
+  The id of the image related to the chunk.
 - **similarity**: `float`
-  A general similarity score, usually a composite score derived from various similarity measures . This score represents the degree of similarity between two objects. The value ranges between 0 and 1, where a value closer to 1 indicates higher similarity. Defaults to `None`. ????????????????????????????????????   
+  A general similarity score, usually a composite score derived from various similarity measures . This score represents the degree of similarity between two objects. The value ranges between 0 and 1, where a value closer to 1 indicates higher similarity.
 - **vector_similarity**: `float`  
-  A similarity score based on vector representations. This score is obtained by converting texts, words, or objects into vectors and then calculating the cosine similarity or other distance measures between these vectors to determine the similarity in vector space. A higher value indicates greater similarity in the vector space. Defaults to `None`. ?????????????????????????????????
+  A similarity score based on vector representations. This score is obtained by converting texts, words, or objects into vectors and then calculating the cosine similarity or other distance measures between these vectors to determine the similarity in vector space. A higher value indicates greater similarity in the vector space. 
 - **term_similarity**: `float`  
-  The similarity score based on terms or keywords. This score is calculated by comparing the similarity of key terms between texts or datasets, typically measuring how similar two words or phrases are in meaning or context. A higher value indicates a stronger similarity between terms. Defaults to `None`. ???????????????????  
-- **position**: `List[string]`  
-  Indicates the position or index of keywords or specific terms within the text. An array is typically used to mark the location of keywords or specific elements, facilitating precise operations or analysis of the text. Defaults to `None`. ??????????????
+  The similarity score based on terms or keywords. This score is calculated by comparing the similarity of key terms between texts or datasets, typically measuring how similar two words or phrases are in meaning or context. A higher value indicates a stronger similarity between terms.  
+- **position**: `list[string]`  
+  Indicates the position or index of keywords or specific terms within the text. An array is typically used to mark the location of keywords or specific elements, facilitating precise operations or analysis of the text.
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-assi = rag.list_chats(name="Miss R")
-assi = assi[0]
-sess = assi.create_session()    
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag.list_chats(name="Miss R")
+assistant = assistant[0]
+sess = assistant.create_session()    
 
 print("\n==================== Miss R =====================\n")
-print(assi.get_prologue())
+print(assistant.get_prologue())
 
 while True:
     question = input("\n==================== User =====================\n> ")
@@ -1092,81 +1094,82 @@ Chat.list_sessions(
     desc: bool = True,
     id: str = None,
     name: str = None
-) -> List[Session]
+) -> list[Session]
 ```
 
-### Returns
+Lists sessions associated with the current chat assistant.
 
-List[Session]
-description: the List contains information about multiple assistant object, with each dictionary containing information about one assistant.
+### Parameters
 
-### Examples
+#### page
 
-```python
-from ragflow import RAGFlow
+Specifies the page on which records will be displayed. Defaults to `1`.
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-assi = rag.list_chats(name="Miss R")
-assi = assi[0]
-for sess in assi.list_sessions():
-    print(sess)
-```
+#### page_size
 
-### Parameters
+The number of records on each page. Defaults to `1024`.
 
-#### page: `int`  
+#### orderby
 
-The current page number to retrieve from the paginated data. This parameter determines which set of records will be fetched.  
-- `1`
+The field by which the records should be sorted. This specifies the attribute or column used to sort the results. Defaults to `"create_time"`.
 
-#### page_size: `int`  
+#### desc
 
-The number of records to retrieve per page. This controls how many records will be included in each page.  
-- `1024`
+Whether the sorting should be in descending order. Defaults to `True`.
 
-#### orderby: `string`  
+#### id
 
-The field by which the records should be sorted. This specifies the attribute or column used to order the results.  
-- `"create_time"`
+The ID of the chat session to retrieve. Defaults to `None`.
 
-#### desc: `bool`  
+#### name
 
-A boolean flag indicating whether the sorting should be in descending order.  
-- `True`
+The name of the chat to retrieve. Defaults to `None`.
 
-#### id: `string`  
+### Returns
 
-The ID of the chat to be retrieved.  
-- `None`
+- Success: A list of `Session` objects associated with the current chat assistant.
+- Failure: `Exception`.
 
-#### name: `string`  
+### Examples
+
+```python
+from ragflow import RAGFlow
+
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag.list_chats(name="Miss R")
+assistant = assistant[0]
+for session in assistant.list_sessions():
+    print(session)
+```
 
-The name of the chat to be retrieved.  
-- `None`
 ---
 
-## Delete session
+## Delete sessions
 
 ```python
-Chat.delete_sessions(ids:List[str] = None)
+Chat.delete_sessions(ids:list[str] = None)
 ```
 
+Deletes specified sessions or all sessions associated with the current chat assistant.
+
+### Parameters
+
+#### ids
+
+IDs of the sessions to delete. If not specified, all sessions associated with the current chat assistant will be deleted.
+
 ### Returns
 
-no return
+- Success: No value is returned.
+- Failure: `Exception`
 
 ### Examples
 
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="xxxxxx", base_url="http://xxx.xx.xx.xxx:9380")
-assi = rag.list_chats(name="Miss R")
-assi = assi[0]
-assi.delete_sessions(ids=["id_1","id_2"])
-```
-### Parameters
-#### ids: `List[string]`
-IDs of the sessions to be deleted.
-- `None`
-
+rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag.list_chats(name="Miss R")
+assistant = assistant[0]
+assistant.delete_sessions(ids=["id_1","id_2"])
+```
\ No newline at end of file
diff --git a/api/ragflow_server.py b/api/ragflow_server.py
index 9fabb05ba3c..297227796fa 100644
--- a/api/ragflow_server.py
+++ b/api/ragflow_server.py
@@ -38,7 +38,7 @@
 
 def update_progress():
     while True:
-        time.sleep(1)
+        time.sleep(3)
         try:
             DocumentService.update_progress()
         except Exception as e:
diff --git a/api/utils/__init__.py b/api/utils/__init__.py
index 96b085c2074..edb50577f12 100644
--- a/api/utils/__init__.py
+++ b/api/utils/__init__.py
@@ -344,3 +344,8 @@ def download_img(url):
     return "data:" + \
            response.headers.get('Content-Type', 'image/jpg') + ";" + \
            "base64," + base64.b64encode(response.content).decode("utf-8")
+
+
+def delta_seconds(date_string: str):
+    dt = datetime.datetime.strptime(date_string, "%Y-%m-%d %H:%M:%S")
+    return (datetime.datetime.now() - dt).total_seconds()
diff --git a/poetry.lock b/poetry.lock
index 7f754ac0765..74b2d4b40de 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,13 +2,13 @@
 
 [[package]]
 name = "accelerate"
-version = "0.34.2"
+version = "1.0.1"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.34.2-py3-none-any.whl", hash = "sha256:d69159e2c4e4a473d14443b27d2d732929254e826b3ab4813b3785b5ac616c7c"},
-    {file = "accelerate-0.34.2.tar.gz", hash = "sha256:98c1ebe1f5a45c0a3af02dc60b5bb8b7d58d60c3326a326a06ce6d956b18ca5b"},
+    {file = "accelerate-1.0.1-py3-none-any.whl", hash = "sha256:c6aa0c7b8a797cb150471e90e3ca36ac41f5d4b40512cdd6f058b8bf25589467"},
+    {file = "accelerate-1.0.1.tar.gz", hash = "sha256:e8f95fc2db14915dc0a9182edfcf3068e5ddb2fa310b583717ad44e5c442399c"},
 ]
 
 [package.dependencies]
@@ -22,8 +22,8 @@ torch = ">=1.10.0"
 
 [package.extras]
 deepspeed = ["deepspeed"]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.6.4,<0.7.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.6.4,<0.7.0)"]
 rich = ["rich"]
 sagemaker = ["sagemaker"]
 test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
@@ -33,113 +33,113 @@ testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized",
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.2"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"},
-    {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
+    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.8"
+version = "3.10.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -191,13 +191,13 @@ files = [
 
 [[package]]
 name = "akshare"
-version = "1.14.87"
+version = "1.14.98"
 description = "AKShare is an elegant and simple financial data interface library for Python, built for human beings!"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "akshare-1.14.98.tar.gz", hash = "sha256:55c41fc1728b520aad692b495df8235abef87cd604f6425b99259dbcd041952f"},
 ]
 
 [package.dependencies]
@@ -223,13 +223,13 @@ qmt = ["akqmt"]
 
 [[package]]
 name = "alabaster"
-version = "0.7.16"
+version = "1.0.0"
 description = "A light, configurable Sphinx theme"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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 ]
 
 [[package]]
@@ -270,13 +270,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.6.0"
+version = "4.6.2.post1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
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-    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
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 ]
 
 [package.dependencies]
@@ -285,7 +285,7 @@ sniffio = ">=1.1"
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -406,16 +406,16 @@ requests = ">=2.32.0,<2.33.0"
 
 [[package]]
 name = "aspose-slides"
-version = "24.9.0"
+version = "24.10.0"
 description = "Aspose.Slides for Python via .NET is a presentation file formats processing library for working with Microsoft PowerPoint files without using Microsoft PowerPoint."
 optional = false
 python-versions = ">=3.5,<3.13"
 files = [
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 ]
 
 [[package]]
@@ -550,7 +550,7 @@ name = "bce-python-sdk"
 version = "0.9.23"
 description = "BCE SDK for python"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
 files = [
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@@ -618,12 +618,12 @@ lxml = ["lxml"]
 
 [[package]]
 name = "bibtexparser"
-version = "1.4.1"
+version = "1.4.2"
 description = "Bibtex parser for python 3"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -788,48 +788,55 @@ files = [
 
 [[package]]
 name = "cbor2"
-version = "5.6.4"
+version = "5.6.5"
 description = "CBOR (de)serializer with extensive tag support"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
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 ]
 
 [[package]]
@@ -1203,101 +1225,101 @@ test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"
 
 [[package]]
 name = "cramjam"
-version = "2.8.4"
+version = "2.9.0"
 description = "Thin Python bindings to de/compression algorithms in Rust"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -1380,17 +1402,18 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "dashscope"
-version = "1.14.1"
+version = "1.20.11"
 description = "dashscope client sdk library"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "dashscope-1.14.1-py3-none-any.whl", hash = "sha256:8debc8d36de572a3a264c870b79026fa89507a65ca494120957649281fa23455"},
+    {file = "dashscope-1.20.11-py3-none-any.whl", hash = "sha256:7367802c5ae136c6c1f4f8a16f9aba628e97adefae8afdebce6bbf518d0065d1"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 requests = "*"
+websocket-client = "*"
 
 [package.extras]
 tokenizer = ["tiktoken"]
@@ -1596,13 +1619,13 @@ files = [
 
 [[package]]
 name = "docutils"
-version = "0.20.1"
+version = "0.21.2"
 description = "Docutils -- Python Documentation Utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
-    {file = "docutils-0.20.1-py3-none-any.whl", hash = "sha256:96f387a2c5562db4476f09f13bbab2192e764cac08ebbf3a34a95d9b1e4a59d6"},
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+    {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"},
 ]
 
 [[package]]
@@ -1831,7 +1854,7 @@ name = "fastembed"
 version = "0.3.6"
 description = "Fast, light, accurate library built for retrieval embedding generation"
 optional = false
-python-versions = ">=3.8.0,<3.13"
+python-versions = "<3.13,>=3.8.0"
 files = [
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@@ -2355,13 +2378,13 @@ protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4
 
 [[package]]
 name = "google-api-core"
-version = "2.20.0"
+version = "2.21.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_core-2.20.0-py3-none-any.whl", hash = "sha256:ef0591ef03c30bb83f79b3d0575c3f31219001fc9c5cf37024d08310aeffed8a"},
-    {file = "google_api_core-2.20.0.tar.gz", hash = "sha256:f74dff1889ba291a4b76c5079df0711810e2d9da81abfdc99957bc961c1eb28f"},
+    {file = "google_api_core-2.21.0-py3-none-any.whl", hash = "sha256:6869eacb2a37720380ba5898312af79a4d30b8bca1548fb4093e0697dc4bdf5d"},
+    {file = "google_api_core-2.21.0.tar.gz", hash = "sha256:4a152fd11a9f774ea606388d423b68aa7e6d6a0ffe4c8266f74979613ec09f81"},
 ]
 
 [package.dependencies]
@@ -2374,19 +2397,20 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
 grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.147.0"
+version = "2.149.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_python_client-2.147.0-py2.py3-none-any.whl", hash = "sha256:c6ecfa193c695baa41e84562d8f8f244fcd164419eca3fc9fd7565646668f9b2"},
-    {file = "google_api_python_client-2.147.0.tar.gz", hash = "sha256:e864c2cf61d34c00f05278b8bdb72b93b6fa34f0de9ead51d20435f3b65f91be"},
+    {file = "google_api_python_client-2.149.0-py2.py3-none-any.whl", hash = "sha256:1a5232e9cfed8c201799d9327e4d44dc7ea7daa3c6e1627fca41aa201539c0da"},
+    {file = "google_api_python_client-2.149.0.tar.gz", hash = "sha256:b9d68c6b14ec72580d66001bd33c5816b78e2134b93ccc5cf8f624516b561750"},
 ]
 
 [package.dependencies]
@@ -2613,12 +2637,12 @@ testing = ["pytest"]
 
 [[package]]
 name = "google-generativeai"
-version = "0.8.2"
+version = "0.8.3"
 description = "Google Generative AI High level API client library and tools."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "google_generativeai-0.8.2-py3-none-any.whl", hash = "sha256:fabc0e2e8d2bfb6fdb1653e91dba83fecb2a2a6878883b80017def90fda8032d"},
+    {file = "google_generativeai-0.8.3-py3-none-any.whl", hash = "sha256:1108ff89d5b8e59f51e63d1a8bf84701cd84656e17ca28d73aeed745e736d9b7"},
 ]
 
 [package.dependencies]
@@ -2702,7 +2726,7 @@ name = "graspologic"
 version = "3.4.1"
 description = "A set of Python modules for graph statistics"
 optional = false
-python-versions = ">=3.9,<3.13"
+python-versions = "<3.13,>=3.9"
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 [[package]]
 name = "grpcio-status"
-version = "1.66.2"
+version = "1.67.0"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.66.2"
+grpcio = ">=1.67.0"
 protobuf = ">=5.26.1,<6.0dev"
 
 [[package]]
@@ -2980,13 +3004,13 @@ lxml = ["lxml"]
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2997,7 +3021,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httplib2"
@@ -3050,13 +3074,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.25.1"
+version = "0.25.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -3302,7 +3326,7 @@ web-service = ["fastapi (>=0.109.0,<0.110.0)", "uvicorn (>=0.25.0,<0.26.0)"]
 [[package]]
 name = "intel-openmp"
 version = "2021.4.0"
-description = "Intel OpenMP* Runtime Library"
+description = "Intel® OpenMP* Runtime Library"
 optional = false
 python-versions = "*"
 files = [
@@ -3342,18 +3366,15 @@ zlib-state = ">=0.1.3"
 
 [[package]]
 name = "isodate"
-version = "0.6.1"
+version = "0.7.2"
 description = "An ISO 8601 date/time/duration parser and formatter"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
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 ]
 
-[package.dependencies]
-six = "*"
-
 [[package]]
 name = "itsdangerous"
 version = "2.1.2"
@@ -3384,72 +3405,84 @@ i18n = ["Babel (>=2.7)"]
 
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 ]
 
 [package.dependencies]
@@ -4799,7 +4834,7 @@ numpy = ">=1.20"
 protobuf = ">=3.20.2"
 
 [package.extras]
-reference = ["google-re2", "pillow"]
+reference = ["Pillow", "google-re2"]
 
 [[package]]
 name = "onnxruntime"
@@ -5437,6 +5472,113 @@ files = [
 [package.dependencies]
 wcwidth = "*"
 
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 name = "pywin32"
-version = "306"
+version = "308"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
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 [[package]]
@@ -6654,13 +6881,13 @@ py = ">=1.4.26,<2.0.0"
 
 [[package]]
 name = "rich"
-version = "13.8.1"
+version = "13.9.2"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -6786,13 +7013,13 @@ files = [
 
 [[package]]
 name = "s3transfer"
-version = "0.10.2"
+version = "0.10.3"
 description = "An Amazon S3 Transfer Manager"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">= 3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -7213,13 +7440,13 @@ files = [
 
 [[package]]
 name = "smart-open"
-version = "7.0.4"
+version = "7.0.5"
 description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -7232,7 +7459,7 @@ gcs = ["google-cloud-storage (>=2.6.0)"]
 http = ["requests"]
 s3 = ["boto3"]
 ssh = ["paramiko"]
-test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto[server]", "paramiko", "pytest", "pytest-rerunfailures", "requests", "responses", "zstandard"]
+test = ["awscli", "azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto[server]", "numpy", "paramiko", "pyopenssl", "pytest", "pytest-benchmark", "pytest-rerunfailures", "requests", "responses", "zstandard"]
 webhdfs = ["requests"]
 zst = ["zstandard"]
 
@@ -7282,17 +7509,17 @@ files = [
 
 [[package]]
 name = "sphinx"
-version = "7.4.7"
+version = "8.1.3"
 description = "Python documentation generator"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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 ]
 
 [package.dependencies]
-alabaster = ">=0.7.14,<0.8.0"
+alabaster = ">=0.7.14"
 babel = ">=2.13"
 colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\""}
 docutils = ">=0.20,<0.22"
@@ -7302,36 +7529,36 @@ packaging = ">=23.0"
 Pygments = ">=2.17"
 requests = ">=2.30.0"
 snowballstemmer = ">=2.2"
-sphinxcontrib-applehelp = "*"
-sphinxcontrib-devhelp = "*"
-sphinxcontrib-htmlhelp = ">=2.0.0"
-sphinxcontrib-jsmath = "*"
-sphinxcontrib-qthelp = "*"
+sphinxcontrib-applehelp = ">=1.0.7"
+sphinxcontrib-devhelp = ">=1.0.6"
+sphinxcontrib-htmlhelp = ">=2.0.6"
+sphinxcontrib-jsmath = ">=1.0.1"
+sphinxcontrib-qthelp = ">=1.0.6"
 sphinxcontrib-serializinghtml = ">=1.1.9"
 
 [package.extras]
 docs = ["sphinxcontrib-websupport"]
-lint = ["flake8 (>=6.0)", "importlib-metadata (>=6.0)", "mypy (==1.10.1)", "pytest (>=6.0)", "ruff (==0.5.2)", "sphinx-lint (>=0.9)", "tomli (>=2)", "types-docutils (==0.21.0.20240711)", "types-requests (>=2.30.0)"]
+lint = ["flake8 (>=6.0)", "mypy (==1.11.1)", "pyright (==1.1.384)", "pytest (>=6.0)", "ruff (==0.6.9)", "sphinx-lint (>=0.9)", "tomli (>=2)", "types-Pillow (==10.2.0.20240822)", "types-Pygments (==2.18.0.20240506)", "types-colorama (==0.4.15.20240311)", "types-defusedxml (==0.7.0.20240218)", "types-docutils (==0.21.0.20241005)", "types-requests (==2.32.0.20240914)", "types-urllib3 (==1.26.25.14)"]
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 [[package]]
 name = "sphinx-rtd-theme"
-version = "2.0.0"
+version = "3.0.1"
 description = "Read the Docs theme for Sphinx"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
-docutils = "<0.21"
-sphinx = ">=5,<8"
+docutils = ">0.18,<0.22"
+sphinx = ">=6,<9"
 sphinxcontrib-jquery = ">=4,<5"
 
 [package.extras]
-dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client", "wheel"]
+dev = ["bump2version", "transifex-client", "twine", "wheel"]
 
 [[package]]
 name = "sphinxcontrib-applehelp"
@@ -7443,41 +7670,41 @@ test = ["pytest"]
 
 [[package]]
 name = "statsmodels"
-version = "0.14.3"
+version = "0.14.4"
 description = "Statistical computations and models for Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "yarl-1.15.4-py3-none-any.whl", hash = "sha256:e5cc288111c450c0a54a74475591b206d3b1cb47dc71bb6200f6be8b1337184c"},
+    {file = "yarl-1.15.4.tar.gz", hash = "sha256:a0c5e271058d148d730219ca4f33c5d841c6bd46e05b0da60fea7b516906ccd3"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.0"
 
 [[package]]
 name = "yfinance"
@@ -8790,4 +9008,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.12,<3.13"
-content-hash = "b503196e00373f9642e9c26837b5dabcb39fada8762078b7bbaf951a404169d3"
+content-hash = "9bb9779964942b51070e5499058a7e00f64a370f901db366ae94abc8f0ade600"
diff --git a/pyproject.toml b/pyproject.toml
index f8a8e78f056..22176016345 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,7 @@ cachetools = "5.3.3"
 chardet = "5.2.0"
 cn2an = "0.5.22"
 cohere = "5.6.2"
-dashscope = "1.14.1"
+dashscope = "1.20.11"
 deepl = "1.18.0"
 demjson3 = "3.0.6"
 discord-py = "2.3.2"
diff --git a/rag/raptor.py b/rag/raptor.py
index 18521eba2bd..c0254cc8996 100644
--- a/rag/raptor.py
+++ b/rag/raptor.py
@@ -49,6 +49,7 @@ def __call__(self, chunks: Tuple[str, np.ndarray], random_state, callback=None):
         layers = [(0, len(chunks))]
         start, end = 0, len(chunks)
         if len(chunks) <= 1: return
+        chunks = [(s, a) for s, a in chunks if len(a) > 0]
 
         def summarize(ck_idx, lock):
             nonlocal chunks
@@ -64,6 +65,7 @@ def summarize(ck_idx, lock):
                 print("SUM:", cnt)
                 embds, _ = self._embd_model.encode([cnt])
                 with lock:
+                    if not len(embds[0]): return
                     chunks.append((cnt, embds[0]))
             except Exception as e:
                 print(e, flush=True)
diff --git a/sdk/python/ragflow/modules/chunk.py b/sdk/python/ragflow/modules/chunk.py
index e1cdd50eb1e..49132af91f0 100644
--- a/sdk/python/ragflow/modules/chunk.py
+++ b/sdk/python/ragflow/modules/chunk.py
@@ -17,32 +17,11 @@ def __init__(self, rag, res_dict):
                 res_dict.pop(k)
         super().__init__(rag, res_dict)
 
-    def delete(self) -> bool:
-        """
-        Delete the chunk in the document.
-        """
-        res = self.post('/doc/chunk/rm',
-                        {"document_id": self.document_id, 'chunk_ids': [self.id]})
-        res = res.json()
-        if res.get("retmsg") == "success":
-            return True
-        raise Exception(res["retmsg"])
 
-    def save(self) -> bool:
-        """
-        Save the document details to the server.
-        """
-        res = self.post('/doc/chunk/set',
-                        {"chunk_id": self.id,
-                         "knowledgebase_id": self.knowledgebase_id,
-                         "name": self.document_name,
-                         "content": self.content,
-                         "important_keywords": self.important_keywords,
-                         "document_id": self.document_id,
-                         "available": self.available,
-                         })
+    def update(self,update_message:dict):
+        res = self.put(f"/dataset/{self.knowledgebase_id}/document/{self.document_id}/chunk/{self.id}",update_message)
         res = res.json()
-        if res.get("retmsg") == "success":
-            return True
-        raise Exception(res["retmsg"])
+        if res.get("code") != 0 :
+            raise Exception(res["message"])
+
 
diff --git a/sdk/python/ragflow/modules/dataset.py b/sdk/python/ragflow/modules/dataset.py
index c58cc30f656..81615ac5283 100644
--- a/sdk/python/ragflow/modules/dataset.py
+++ b/sdk/python/ragflow/modules/dataset.py
@@ -65,3 +65,14 @@ def delete_documents(self,ids: List[str] = None):
         if res.get("code") != 0:
             raise Exception(res["message"])
 
+    def async_parse_documents(self,document_ids):
+        res = self.post(f"/dataset/{self.id}/chunk",{"document_ids":document_ids})
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res.get("message"))
+
+    def async_cancel_parse_documents(self,document_ids):
+        res = self.rm(f"/dataset/{self.id}/chunk",{"document_ids":document_ids})
+        res = res.json()
+        if res.get("code") != 0:
+            raise Exception(res.get("message"))
diff --git a/sdk/python/ragflow/modules/document.py b/sdk/python/ragflow/modules/document.py
index 55c658d67a8..97766115a8a 100644
--- a/sdk/python/ragflow/modules/document.py
+++ b/sdk/python/ragflow/modules/document.py
@@ -1,7 +1,10 @@
 import time
 
+from PIL.ImageFile import raise_oserror
+
 from .base import Base
 from .chunk import Chunk
+from typing import List
 
 
 class Document(Base):
@@ -29,160 +32,28 @@ def __init__(self, rag, res_dict):
                 res_dict.pop(k)
         super().__init__(rag, res_dict)
 
-    def update(self,update_message:dict) -> bool:
-        """
-        Save the document details to the server.
-        """
-        res = self.post(f'/dataset/{self.knowledgebase_id}/info/{self.id}',update_message)
-        res = res.json()
-        if res.get("code") != 0:
-            raise Exception(res["message"])
-
-    def delete(self) -> bool:
-        """
-        Delete the document from the server.
-        """
-        res = self.rm('/doc/delete',
-                      {"document_id": self.id})
+    def list_chunks(self,offset=0, limit=30, keywords="", id:str=None):
+        data={"document_id": self.id,"keywords": keywords,"offset":offset,"limit":limit,"id":id}
+        res = self.get(f'/dataset/{self.knowledgebase_id}/document/{self.id}/chunk', data)
         res = res.json()
-        if res.get("retmsg") == "success":
-            return True
-        raise Exception(res["retmsg"])
-
-    def download(self) -> bytes:
-        """
-        Download the document content from the server using the Flask API.
-
-        :return: The downloaded document content in bytes.
-        """
-        # Construct the URL for the API request using the document ID and knowledge base ID
-        res = self.get(f"/dataset/{self.knowledgebase_id}/document/{self.id}")
-
-        # Check the response status code to ensure the request was successful
-        if res.status_code == 200:
-            # Return the document content as bytes
-            return res.content
-        else:
-            # Handle the error and raise an exception
-            raise Exception(
-                f"Failed to download document. Server responded with: {res.status_code}, {res.text}"
-            )
-
-    def async_parse(self):
-        """
-        Initiate document parsing asynchronously without waiting for completion.
-        """
-        try:
-            # Construct request data including document ID and run status (assuming 1 means to run)
-            data = {"document_ids": [self.id], "run": 1}
-
-            # Send a POST request to the specified parsing status endpoint to start parsing
-            res = self.post(f'/doc/run', data)
-
-            # Check the server response status code
-            if res.status_code != 200:
-                raise Exception(f"Failed to start async parsing: {res.text}")
-
-            print("Async parsing started successfully.")
-
-        except Exception as e:
-            # Catch and handle exceptions
-            print(f"Error occurred during async parsing: {str(e)}")
-            raise
-
-    import time
-
-    def join(self, interval=5, timeout=3600):
-        """
-        Wait for the asynchronous parsing to complete and yield parsing progress periodically.
-
-        :param interval: The time interval (in seconds) for progress reports.
-        :param timeout: The timeout (in seconds) for the parsing operation.
-        :return: An iterator yielding parsing progress and messages.
-        """
-        start_time = time.time()
-        while time.time() - start_time < timeout:
-            # Check the parsing status
-            res = self.get(f'/doc/{self.id}/status', {"document_ids": [self.id]})
-            res_data = res.json()
-            data = res_data.get("data", [])
-
-            # Retrieve progress and status message
-            progress = data.get("progress", 0)
-            progress_msg = data.get("status", "")
+        if res.get("code") == 0:
+            chunks=[]
+            for data in res["data"].get("chunks"):
+                chunk = Chunk(self.rag,data)
+                chunks.append(chunk)
+            return chunks
+        raise Exception(res.get("message"))
 
-            yield progress, progress_msg  # Yield progress and message
-
-            if progress == 100:  # Parsing completed
-                break
-
-            time.sleep(interval)
-
-    def cancel(self):
-        """
-        Cancel the parsing task for the document.
-        """
-        try:
-            # Construct request data, including document ID and action to cancel (assuming 2 means cancel)
-            data = {"document_ids": [self.id], "run": 2}
-
-            # Send a POST request to the specified parsing status endpoint to cancel parsing
-            res = self.post(f'/doc/run', data)
-
-            # Check the server response status code
-            if res.status_code != 200:
-                print("Failed to cancel parsing. Server response:", res.text)
-            else:
-                print("Parsing cancelled successfully.")
-
-        except Exception as e:
-            print(f"Error occurred during async parsing cancellation: {str(e)}")
-            raise
-
-    def list_chunks(self, page=1, offset=0, limit=12,size=30, keywords="", available_int=None):
-        """
-        List all chunks associated with this document by calling the external API.
-
-        Args:
-            page (int): The page number to retrieve (default 1).
-            size (int): The number of chunks per page (default 30).
-            keywords (str): Keywords for searching specific chunks (default "").
-            available_int (int): Filter for available chunks (optional).
-
-        Returns:
-            list: A list of chunks returned from the API.
-        """
-        data = {
-            "document_id": self.id,
-            "page": page,
-            "size": size,
-            "keywords": keywords,
-            "offset":offset,
-            "limit":limit
-        }
-
-        if available_int is not None:
-            data["available_int"] = available_int
-
-        res = self.post(f'/doc/chunk/list', data)
-        if res.status_code == 200:
-            res_data = res.json()
-            if res_data.get("retmsg") == "success":
-                chunks=[]
-                for chunk_data in res_data["data"].get("chunks", []):
-                    chunk=Chunk(self.rag,chunk_data)
-                    chunks.append(chunk)
-                return chunks
-            else:
-                raise Exception(f"Error fetching chunks: {res_data.get('retmsg')}")
-        else:
-            raise Exception(f"API request failed with status code {res.status_code}")
 
     def add_chunk(self, content: str):
-        res = self.post('/doc/chunk/create', {"document_id": self.id, "content":content})
-        if res.status_code == 200:
-            res_data = res.json().get("data")
-            chunk_data = res_data.get("chunk")
-            return Chunk(self.rag,chunk_data)
-        else:
-            raise Exception(f"Failed to add chunk: {res.status_code} {res.text}")
+        res = self.post(f'/dataset/{self.knowledgebase_id}/document/{self.id}/chunk', {"content":content})
+        res = res.json()
+        if res.get("code") == 0:
+            return Chunk(self.rag,res["data"].get("chunk"))
+        raise Exception(res.get("message"))
+
+    def delete_chunks(self,ids:List[str]):
+        res = self.rm(f"dataset/{self.knowledgebase_id}/document/{self.id}/chunk",{"ids":ids})
+        res = res.json()
+        if res.get("code")!=0:
+            raise Exception(res.get("message"))
\ No newline at end of file
diff --git a/sdk/python/ragflow/modules/session.py b/sdk/python/ragflow/modules/session.py
index 56f4e2b8470..e9805520d4e 100644
--- a/sdk/python/ragflow/modules/session.py
+++ b/sdk/python/ragflow/modules/session.py
@@ -15,8 +15,8 @@ def ask(self, question: str, stream: bool = False):
         for message in self.messages:
             if "reference" in message:
                 message.pop("reference")
-        res = self.post(f"/chat/{self.chat_id}/session/{self.id}/completion",
-                        {"question": question, "stream": True}, stream=stream)
+        res = self.post(f"/chat/{self.chat_id}/completion",
+                        {"question": question, "stream": True,"session_id":self.id}, stream=stream)
         for line in res.iter_lines():
             line = line.decode("utf-8")
             if line.startswith("{"):
@@ -82,3 +82,4 @@ def __init__(self, rag, res_dict):
         self.term_similarity = None
         self.positions = None
         super().__init__(rag, res_dict)
+
diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py
index c50c619293a..792d049e563 100644
--- a/sdk/python/ragflow/ragflow.py
+++ b/sdk/python/ragflow/ragflow.py
@@ -158,105 +158,30 @@ def list_chats(self, page: int = 1, page_size: int = 1024, orderby: str = "creat
         raise Exception(res["message"])
 
 
-
-    def async_parse_documents(self, doc_ids):
-        """
-        Asynchronously start parsing multiple documents without waiting for completion.
-
-        :param doc_ids: A list containing multiple document IDs.
-        """
-        try:
-            if not doc_ids or not isinstance(doc_ids, list):
-                raise ValueError("doc_ids must be a non-empty list of document IDs")
-
-            data = {"document_ids": doc_ids, "run": 1}
-
-            res = self.post(f'/doc/run', data)
-
-            if res.status_code != 200:
-                raise Exception(f"Failed to start async parsing for documents: {res.text}")
-
-            print(f"Async parsing started successfully for documents: {doc_ids}")
-
-        except Exception as e:
-            print(f"Error occurred during async parsing for documents: {str(e)}")
-            raise
-
-    def async_cancel_parse_documents(self, doc_ids):
-        """
-        Cancel the asynchronous parsing of multiple documents.
-
-        :param doc_ids: A list containing multiple document IDs.
-        """
-        try:
-            if not doc_ids or not isinstance(doc_ids, list):
-                raise ValueError("doc_ids must be a non-empty list of document IDs")
-            data = {"document_ids": doc_ids, "run": 2}
-            res = self.post(f'/doc/run', data)
-
-            if res.status_code != 200:
-                raise Exception(f"Failed to cancel async parsing for documents: {res.text}")
-
-            print(f"Async parsing canceled successfully for documents: {doc_ids}")
-
-        except Exception as e:
-            print(f"Error occurred during canceling parsing for documents: {str(e)}")
-            raise
-
-    def retrieval(self,
-                  question,
-                  datasets=None,
-                  documents=None,
-                  offset=0,
-                  limit=6,
-                  similarity_threshold=0.1,
-                  vector_similarity_weight=0.3,
-                  top_k=1024):
-        """
-        Perform document retrieval based on the given parameters.
-
-        :param question: The query question.
-        :param datasets: A list of datasets (optional, as documents may be provided directly).
-        :param documents: A list of documents (if specific documents are provided).
-        :param offset: Offset for the retrieval results.
-        :param limit: Maximum number of retrieval results.
-        :param similarity_threshold: Similarity threshold.
-        :param vector_similarity_weight: Weight of vector similarity.
-        :param top_k: Number of top most similar documents to consider (for pre-filtering or ranking).
-
-        Note: This is a hypothetical implementation and may need adjustments based on the actual backend service API.
-        """
-        try:
-            data = {
-                "question": question,
-                "datasets": datasets if datasets is not None else [],
-                "documents": [doc.id if hasattr(doc, 'id') else doc for doc in
-                              documents] if documents is not None else [],
+    def retrieve(self, question="",datasets=None,documents=None, offset=1, limit=30, similarity_threshold=0.2,vector_similarity_weight=0.3,top_k=1024,rerank_id:str=None,keyword:bool=False,):
+            data_params = {
                 "offset": offset,
                 "limit": limit,
                 "similarity_threshold": similarity_threshold,
                 "vector_similarity_weight": vector_similarity_weight,
                 "top_k": top_k,
                 "knowledgebase_id": datasets,
+                "rerank_id":rerank_id,
+                "keyword":keyword
+            }
+            data_json ={
+                "question": question,
+                "datasets": datasets,
+                "documents": documents
             }
 
             # Send a POST request to the backend service (using requests library as an example, actual implementation may vary)
-            res = self.post(f'/doc/retrieval_test', data)
-
-            # Check the response status code
-            if res.status_code == 200:
-                res_data = res.json()
-                if res_data.get("retmsg") == "success":
-                    chunks = []
-                    for chunk_data in res_data["data"].get("chunks", []):
-                        chunk = Chunk(self, chunk_data)
-                        chunks.append(chunk)
-                    return chunks
-                else:
-                    raise Exception(f"Error fetching chunks: {res_data.get('retmsg')}")
-            else:
-                raise Exception(f"API request failed with status code {res.status_code}")
-
-        except Exception as e:
-            print(f"An error occurred during retrieval: {e}")
-            raise
+            res = self.get(f'/retrieval', data_params,data_json)
+            res = res.json()
+            if res.get("code") ==0:
+                chunks=[]
+                for chunk_data in res["data"].get("chunks"):
+                    chunk=Chunk(self,chunk_data)
+                    chunks.append(chunk)
+                return chunks
+            raise Exception(res.get("message"))
diff --git a/sdk/python/test/t_document.py b/sdk/python/test/t_document.py
index e332e8145ea..d7c13a7af6b 100644
--- a/sdk/python/test/t_document.py
+++ b/sdk/python/test/t_document.py
@@ -63,17 +63,13 @@ def test_download_document_with_success(self):
         # Check if the retrieved document is of type Document
         if isinstance(doc, Document):
             # Download the document content and save it to a file
-            try:
-                with open("ragflow.txt", "wb+") as file:
-                    file.write(doc.download())
-                    # Print the document object for debugging
-                print(doc)
-
-                # Assert that the download was successful
-                assert True, "Document downloaded successfully."
-            except Exception as e:
-                # If an error occurs, raise an assertion error
-                assert False, f"Failed to download document, error: {str(e)}"
+            with open("./ragflow.txt", "wb+") as file:
+                file.write(doc.download())
+                # Print the document object for debugging
+            print(doc)
+
+            # Assert that the download was successful
+            assert True, f"Failed to download document, error: {doc}"
         else:
             # If the document retrieval fails, assert failure
             assert False, f"Failed to get document, error: {doc}"
@@ -100,7 +96,7 @@ def test_list_documents_in_dataset_with_success(self):
         blob2 = b"Sample document content for ingestion test222."
         list_1 = [{"name":name1,"blob":blob1},{"name":name2,"blob":blob2}]
         ds.upload_documents(list_1)
-        for d in ds.list_docs(keywords="test", offset=0, limit=12):
+        for d in ds.list_documents(keywords="test", offset=0, limit=12):
             assert isinstance(d, Document), "Failed to upload documents"
 
     def test_delete_documents_in_dataset_with_success(self):
@@ -123,16 +119,11 @@ def test_delete_documents_in_dataset_with_success(self):
         blob1 = b"Sample document content for ingestion test333."
         name2 = "Test Document444.txt"
         blob2 = b"Sample document content for ingestion test444."
-        name3 = 'test.txt'
-        path = 'test_data/test.txt'
-        rag.create_document(ds, name=name3, blob=open(path, "rb").read())
-        rag.create_document(ds, name=name1, blob=blob1)
-        rag.create_document(ds, name=name2, blob=blob2)
-        for d in ds.list_docs(keywords="document", offset=0, limit=12):
+        ds.upload_documents([{"name":name1,"blob":blob1},{"name":name2,"blob":blob2}])
+        for d in ds.list_documents(keywords="document", offset=0, limit=12):
             assert isinstance(d, Document)
-            d.delete()
-            print(d)
-        remaining_docs = ds.list_docs(keywords="rag", offset=0, limit=12)
+            ds.delete_documents([d.id])
+        remaining_docs = ds.list_documents(keywords="rag", offset=0, limit=12)
         assert len(remaining_docs) == 0, "Documents were not properly deleted."
 
     def test_parse_and_cancel_document(self):
@@ -144,16 +135,15 @@ def test_parse_and_cancel_document(self):
 
         # Define the document name and path
         name3 = 'westworld.pdf'
-        path = 'test_data/westworld.pdf'
+        path = './test_data/westworld.pdf'
 
         # Create a document in the dataset using the file path
-        rag.create_document(ds, name=name3, blob=open(path, "rb").read())
+        ds.upload_documents({"name":name3, "blob":open(path, "rb").read()})
 
         # Retrieve the document by name
-        doc = rag.get_document(name="westworld.pdf")
-
-        # Initiate asynchronous parsing
-        doc.async_parse()
+        doc = rag.list_documents(name="westworld.pdf")
+        doc = doc[0]
+        ds.async_parse_documents(document_ids=[])
 
         # Print message to confirm asynchronous parsing has been initiated
         print("Async parsing initiated")
diff --git a/web/src/assets/svg/api.svg b/web/src/assets/svg/api.svg
new file mode 100644
index 00000000000..db088dd74b3
--- /dev/null
+++ b/web/src/assets/svg/api.svg
@@ -0,0 +1,6 @@
+<svg t="1727608362384" class="icon" viewBox="0 0 1025 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4306"
+    width="24" height="24">
+    <path
+        d="M1019.520374 56.394706L966.393742 3.257862c-2.001695-2.001695-4.503815-2.87999-7.1387-2.879991s-5.137004 1.000848-7.148912 2.879991L856.749851 98.61414C814.520204 69.916363 765.396963 55.638964 716.283935 55.638964c-64.156382 0-128.312765 24.428855-177.30324 73.429543L411.280694 256.758295c-3.880838 3.880838-3.880838 10.274008 0 14.154847L751.74254 611.364776c2.001695 2.001695 4.514028 2.890203 7.1387 2.890203 2.512332 0 5.137004-1.000848 7.1387-2.890203l127.689788-127.689788c86.338436-86.460989 96.489892-220.166077 30.454367-317.646604l95.356279-95.366491c3.880838-3.993178 3.880838-10.386348 0-14.267187zM833.321844 423.409656l-74.430391 74.440604-234.075818-234.075818 74.430391-74.430391c31.199896-31.199896 72.806566-48.490052 117.037909-48.490051 44.231342 0 85.705247 17.167603 117.037909 48.490051 31.199896 31.199896 48.490052 72.806566 48.490051 117.037909 0 44.231342-17.290155 85.705247-48.490051 117.027696zM594.987317 554.980283c-3.880838-3.880838-10.274008-3.880838-14.154847 0l-83.458446 83.458446-113.15707-113.146858 83.580998-83.580999c3.891051-3.891051 3.891051-10.284221 0-14.165059l-45.610061-45.610061c-3.880838-3.891051-10.274008-3.891051-14.154846 0l-83.580999 83.580998-53.882374-53.882374c-2.001695-2.001695-4.514028-2.87999-7.1387-2.87999-2.512332 0-5.137004 1.000848-7.138699 2.87999L128.725037 539.313952C42.386601 625.774941 32.235145 759.480028 98.27067 856.970768L2.914392 952.33726c-3.880838 3.880838-3.880838 10.274008 0 14.154846l53.136844 53.126632c2.001695 2.001695 4.514028 2.87999 7.1387 2.87999 2.634885 0 5.137004-1.000848 7.1387-2.87999l95.366491-95.356279c42.219434 28.697777 91.352888 42.985389 140.465916 42.985389 64.156382 0 128.312765-24.439068 177.30324-73.429543l127.689789-127.689788c3.880838-3.891051 3.880838-10.274008 0-14.154847l-53.882374-53.882374 83.580998-83.580998c3.880838-3.880838 3.880838-10.274008 0-14.154847l-45.865379-45.375168zM423.066186 833.665314c-31.199896 31.199896-72.806566 48.490052-117.037908 48.490051-44.231342 0-85.705247-17.167603-117.037909-48.490051-31.199896-31.199896-48.490052-72.806566-48.490052-117.037909 0-44.231342 17.167603-85.71546 48.490052-117.037909l74.430391-74.430391 234.075817 234.075818-74.430391 74.430391z m0 0"
+        fill="#2C2C2C" p-id="4307"></path>
+</svg>
\ No newline at end of file
diff --git a/web/src/components/api-service/chat-api-key-modal/index.tsx b/web/src/components/api-service/chat-api-key-modal/index.tsx
index 46e6761a603..e586d37273d 100644
--- a/web/src/components/api-service/chat-api-key-modal/index.tsx
+++ b/web/src/components/api-service/chat-api-key-modal/index.tsx
@@ -12,9 +12,9 @@ const ChatApiKeyModal = ({
   dialogId,
   hideModal,
   idKey,
-}: IModalProps<any> & { dialogId: string; idKey: string }) => {
+}: IModalProps<any> & { dialogId?: string; idKey: string }) => {
   const { createToken, removeToken, tokenList, listLoading, creatingLoading } =
-    useOperateApiKey(dialogId, idKey);
+    useOperateApiKey(idKey, dialogId);
   const { t } = useTranslate('chat');
 
   const columns: TableProps<IToken>['columns'] = [
@@ -36,9 +36,7 @@ const ChatApiKeyModal = ({
       render: (_, record) => (
         <Space size="middle">
           <CopyToClipboard text={record.token}></CopyToClipboard>
-          <DeleteOutlined
-            onClick={() => removeToken(record.token, record.tenant_id)}
-          />
+          <DeleteOutlined onClick={() => removeToken(record.token)} />
         </Space>
       ),
     },
@@ -60,8 +58,13 @@ const ChatApiKeyModal = ({
           dataSource={tokenList}
           rowKey={'token'}
           loading={listLoading}
+          pagination={false}
         />
-        <Button onClick={createToken} loading={creatingLoading}>
+        <Button
+          onClick={createToken}
+          loading={creatingLoading}
+          disabled={tokenList.length > 0}
+        >
           {t('createNewKey')}
         </Button>
       </Modal>
diff --git a/web/src/components/api-service/chat-overview-modal/api-content.tsx b/web/src/components/api-service/chat-overview-modal/api-content.tsx
new file mode 100644
index 00000000000..b620599ca95
--- /dev/null
+++ b/web/src/components/api-service/chat-overview-modal/api-content.tsx
@@ -0,0 +1,65 @@
+import HightLightMarkdown from '@/components/highlight-markdown';
+import { useSetModalState, useTranslate } from '@/hooks/common-hooks';
+import { Button, Card, Flex, Space } from 'antd';
+// import apiDoc from '../../../../../api/http_api.md';
+import apiDoc from 'root/api/http_api.md';
+import ChatApiKeyModal from '../chat-api-key-modal';
+import EmbedModal from '../embed-modal';
+import { usePreviewChat, useShowEmbedModal } from '../hooks';
+import BackendServiceApi from './backend-service-api';
+
+const ApiContent = ({
+  id,
+  idKey,
+  hideChatPreviewCard = false,
+}: {
+  id?: string;
+  idKey: string;
+  hideChatPreviewCard?: boolean;
+}) => {
+  const { t } = useTranslate('chat');
+  const {
+    visible: apiKeyVisible,
+    hideModal: hideApiKeyModal,
+    showModal: showApiKeyModal,
+  } = useSetModalState();
+  const { embedVisible, hideEmbedModal, showEmbedModal, embedToken } =
+    useShowEmbedModal(idKey, id);
+
+  const { handlePreview } = usePreviewChat(idKey, id);
+
+  return (
+    <div>
+      <Flex vertical gap={'middle'}>
+        <BackendServiceApi show={showApiKeyModal}></BackendServiceApi>
+        {!hideChatPreviewCard && (
+          <Card title={`${name} Web App`}>
+            <Flex gap={8} vertical>
+              <Space size={'middle'}>
+                <Button onClick={handlePreview}>{t('preview')}</Button>
+                <Button onClick={showEmbedModal}>{t('embedded')}</Button>
+              </Space>
+            </Flex>
+          </Card>
+        )}
+        <HightLightMarkdown>{apiDoc}</HightLightMarkdown>
+      </Flex>
+      {apiKeyVisible && (
+        <ChatApiKeyModal
+          hideModal={hideApiKeyModal}
+          dialogId={id}
+          idKey={idKey}
+        ></ChatApiKeyModal>
+      )}
+      {embedVisible && (
+        <EmbedModal
+          token={embedToken}
+          visible={embedVisible}
+          hideModal={hideEmbedModal}
+        ></EmbedModal>
+      )}
+    </div>
+  );
+};
+
+export default ApiContent;
diff --git a/web/src/components/api-service/chat-overview-modal/backend-service-api.tsx b/web/src/components/api-service/chat-overview-modal/backend-service-api.tsx
new file mode 100644
index 00000000000..b5ea34adbba
--- /dev/null
+++ b/web/src/components/api-service/chat-overview-modal/backend-service-api.tsx
@@ -0,0 +1,35 @@
+import { Button, Card, Flex, Space, Typography } from 'antd';
+
+import { useTranslate } from '@/hooks/common-hooks';
+import styles from './index.less';
+
+const { Paragraph } = Typography;
+
+const BackendServiceApi = ({ show }: { show(): void }) => {
+  const { t } = useTranslate('chat');
+
+  return (
+    <Card
+      title={
+        <Space size={'large'}>
+          <span>RAGFlow API</span>
+          <Button onClick={show} type="primary">
+            {t('apiKey')}
+          </Button>
+        </Space>
+      }
+    >
+      <Flex gap={8} align="center">
+        <b>{t('backendServiceApi')}</b>
+        <Paragraph
+          copyable={{ text: `${location.origin}/v1/api/` }}
+          className={styles.apiLinkText}
+        >
+          {location.origin}/v1/api/
+        </Paragraph>
+      </Flex>
+    </Card>
+  );
+};
+
+export default BackendServiceApi;
diff --git a/web/src/components/api-service/chat-overview-modal/index.less b/web/src/components/api-service/chat-overview-modal/index.less
index eeccc2f98f3..c923c4df745 100644
--- a/web/src/components/api-service/chat-overview-modal/index.less
+++ b/web/src/components/api-service/chat-overview-modal/index.less
@@ -13,9 +13,7 @@
   padding-left: 60px;
   padding-bottom: 20px;
 }
-.linkText {
-  border-radius: 6px;
-  padding: 6px 10px;
-  background-color: #eff8ff;
-  border: 1px;
+.apiLinkText {
+  .linkText();
+  margin: 0 !important;
 }
diff --git a/web/src/components/api-service/chat-overview-modal/index.tsx b/web/src/components/api-service/chat-overview-modal/index.tsx
index 559d11d8c28..f31b05c8226 100644
--- a/web/src/components/api-service/chat-overview-modal/index.tsx
+++ b/web/src/components/api-service/chat-overview-modal/index.tsx
@@ -1,65 +1,15 @@
-import LineChart from '@/components/line-chart';
-import { useFetchNextStats } from '@/hooks/chat-hooks';
-import { useSetModalState, useTranslate } from '@/hooks/common-hooks';
+import { useTranslate } from '@/hooks/common-hooks';
 import { IModalProps } from '@/interfaces/common';
-import { IStats } from '@/interfaces/database/chat';
-import { formatDate } from '@/utils/date';
-import { Button, Card, DatePicker, Flex, Modal, Space, Typography } from 'antd';
-import { RangePickerProps } from 'antd/es/date-picker';
-import dayjs from 'dayjs';
-import camelCase from 'lodash/camelCase';
-import ChatApiKeyModal from '../chat-api-key-modal';
-import EmbedModal from '../embed-modal';
-import {
-  usePreviewChat,
-  useSelectChartStatsList,
-  useShowEmbedModal,
-} from '../hooks';
-import styles from './index.less';
-
-const { Paragraph } = Typography;
-const { RangePicker } = DatePicker;
-
-const StatsLineChart = ({ statsType }: { statsType: keyof IStats }) => {
-  const { t } = useTranslate('chat');
-  const chartList = useSelectChartStatsList();
-  const list =
-    chartList[statsType]?.map((x) => ({
-      ...x,
-      xAxis: formatDate(x.xAxis),
-    })) ?? [];
-
-  return (
-    <div className={styles.chartItem}>
-      <b className={styles.chartLabel}>{t(camelCase(statsType))}</b>
-      <LineChart data={list}></LineChart>
-    </div>
-  );
-};
+import { Modal } from 'antd';
+import ApiContent from './api-content';
 
 const ChatOverviewModal = ({
   visible,
   hideModal,
   id,
-  name = '',
   idKey,
 }: IModalProps<any> & { id: string; name?: string; idKey: string }) => {
   const { t } = useTranslate('chat');
-  const {
-    visible: apiKeyVisible,
-    hideModal: hideApiKeyModal,
-    showModal: showApiKeyModal,
-  } = useSetModalState();
-  const { embedVisible, hideEmbedModal, showEmbedModal, embedToken } =
-    useShowEmbedModal(id, idKey);
-
-  const { pickerValue, setPickerValue } = useFetchNextStats();
-
-  const disabledDate: RangePickerProps['disabledDate'] = (current) => {
-    return current && current > dayjs().endOf('day');
-  };
-
-  const { handlePreview } = usePreviewChat(id, idKey);
 
   return (
     <>
@@ -72,69 +22,7 @@ const ChatOverviewModal = ({
         width={'100vw'}
         okText={t('close', { keyPrefix: 'common' })}
       >
-        <Flex vertical gap={'middle'}>
-          <Card title={t('backendServiceApi')}>
-            <Flex gap={8} vertical>
-              {t('serviceApiEndpoint')}
-              <Paragraph
-                copyable={{ text: `${location.origin}/v1/api/` }}
-                className={styles.linkText}
-              >
-                {location.origin}/v1/api/
-              </Paragraph>
-            </Flex>
-            <Space size={'middle'}>
-              <Button onClick={showApiKeyModal}>{t('apiKey')}</Button>
-              <a
-                href={
-                  'https://github.com/infiniflow/ragflow/blob/main/docs/references/api.md'
-                }
-                target="_blank"
-                rel="noreferrer"
-              >
-                <Button>{t('apiReference')}</Button>
-              </a>
-            </Space>
-          </Card>
-          <Card title={`${name} Web App`}>
-            <Flex gap={8} vertical>
-              <Space size={'middle'}>
-                <Button onClick={handlePreview}>{t('preview')}</Button>
-                <Button onClick={showEmbedModal}>{t('embedded')}</Button>
-              </Space>
-            </Flex>
-          </Card>
-
-          <Space>
-            <b>{t('dateRange')}</b>
-            <RangePicker
-              disabledDate={disabledDate}
-              value={pickerValue}
-              onChange={setPickerValue}
-              allowClear={false}
-            />
-          </Space>
-          <div className={styles.chartWrapper}>
-            <StatsLineChart statsType={'pv'}></StatsLineChart>
-            <StatsLineChart statsType={'round'}></StatsLineChart>
-            <StatsLineChart statsType={'speed'}></StatsLineChart>
-            <StatsLineChart statsType={'thumb_up'}></StatsLineChart>
-            <StatsLineChart statsType={'tokens'}></StatsLineChart>
-            <StatsLineChart statsType={'uv'}></StatsLineChart>
-          </div>
-        </Flex>
-        {apiKeyVisible && (
-          <ChatApiKeyModal
-            hideModal={hideApiKeyModal}
-            dialogId={id}
-            idKey={idKey}
-          ></ChatApiKeyModal>
-        )}
-        <EmbedModal
-          token={embedToken}
-          visible={embedVisible}
-          hideModal={hideEmbedModal}
-        ></EmbedModal>
+        <ApiContent id={id} idKey={idKey}></ApiContent>
       </Modal>
     </>
   );
diff --git a/web/src/components/api-service/chat-overview-modal/stats-chart.tsx b/web/src/components/api-service/chat-overview-modal/stats-chart.tsx
new file mode 100644
index 00000000000..ed910d53860
--- /dev/null
+++ b/web/src/components/api-service/chat-overview-modal/stats-chart.tsx
@@ -0,0 +1,40 @@
+import LineChart from '@/components/line-chart';
+import { useTranslate } from '@/hooks/common-hooks';
+import { IStats } from '@/interfaces/database/chat';
+import { formatDate } from '@/utils/date';
+import camelCase from 'lodash/camelCase';
+import { useSelectChartStatsList } from '../hooks';
+
+import styles from './index.less';
+
+const StatsLineChart = ({ statsType }: { statsType: keyof IStats }) => {
+  const { t } = useTranslate('chat');
+  const chartList = useSelectChartStatsList();
+  const list =
+    chartList[statsType]?.map((x) => ({
+      ...x,
+      xAxis: formatDate(x.xAxis),
+    })) ?? [];
+
+  return (
+    <div className={styles.chartItem}>
+      <b className={styles.chartLabel}>{t(camelCase(statsType))}</b>
+      <LineChart data={list}></LineChart>
+    </div>
+  );
+};
+
+const StatsChart = () => {
+  return (
+    <div className={styles.chartWrapper}>
+      <StatsLineChart statsType={'pv'}></StatsLineChart>
+      <StatsLineChart statsType={'round'}></StatsLineChart>
+      <StatsLineChart statsType={'speed'}></StatsLineChart>
+      <StatsLineChart statsType={'thumb_up'}></StatsLineChart>
+      <StatsLineChart statsType={'tokens'}></StatsLineChart>
+      <StatsLineChart statsType={'uv'}></StatsLineChart>
+    </div>
+  );
+};
+
+export default StatsChart;
diff --git a/web/src/components/api-service/hooks.ts b/web/src/components/api-service/hooks.ts
index d16d5553bdd..006cbe43ef2 100644
--- a/web/src/components/api-service/hooks.ts
+++ b/web/src/components/api-service/hooks.ts
@@ -1,31 +1,31 @@
 import { SharedFrom } from '@/constants/chat';
-import {
-  useCreateNextToken,
-  useFetchTokenList,
-  useRemoveNextToken,
-} from '@/hooks/chat-hooks';
 import {
   useSetModalState,
   useShowDeleteConfirm,
   useTranslate,
 } from '@/hooks/common-hooks';
+import {
+  useCreateSystemToken,
+  useFetchSystemTokenList,
+  useRemoveSystemToken,
+} from '@/hooks/user-setting-hooks';
 import { IStats } from '@/interfaces/database/chat';
 import { useQueryClient } from '@tanstack/react-query';
 import { message } from 'antd';
 import { useCallback } from 'react';
 
-export const useOperateApiKey = (dialogId: string, idKey: string) => {
-  const { removeToken } = useRemoveNextToken();
-  const { createToken, loading: creatingLoading } = useCreateNextToken();
-  const { data: tokenList, loading: listLoading } = useFetchTokenList({
+export const useOperateApiKey = (idKey: string, dialogId?: string) => {
+  const { removeToken } = useRemoveSystemToken();
+  const { createToken, loading: creatingLoading } = useCreateSystemToken();
+  const { data: tokenList, loading: listLoading } = useFetchSystemTokenList({
     [idKey]: dialogId,
   });
 
   const showDeleteConfirm = useShowDeleteConfirm();
 
-  const onRemoveToken = (token: string, tenantId: string) => {
+  const onRemoveToken = (token: string) => {
     showDeleteConfirm({
-      onOk: () => removeToken({ dialogId, tokens: [token], tenantId }),
+      onOk: () => removeToken(token),
     });
   };
 
@@ -49,7 +49,7 @@ type ChartStatsType = {
 export const useSelectChartStatsList = (): ChartStatsType => {
   const queryClient = useQueryClient();
   const data = queryClient.getQueriesData({ queryKey: ['fetchStats'] });
-  const stats: IStats = data[0][1] as IStats;
+  const stats: IStats = (data.length > 0 ? data[0][1] : {}) as IStats;
 
   return Object.keys(stats).reduce((pre, cur) => {
     const item = stats[cur as keyof IStats];
@@ -77,10 +77,12 @@ const getUrlWithToken = (token: string, from: string = 'chat') => {
   return `${protocol}//${host}/chat/share?shared_id=${token}&from=${from}`;
 };
 
-const useFetchTokenListBeforeOtherStep = (dialogId: string, idKey: string) => {
+const useFetchTokenListBeforeOtherStep = (idKey: string, dialogId?: string) => {
   const { showTokenEmptyError } = useShowTokenEmptyError();
 
-  const { data: tokenList, refetch } = useFetchTokenList({ [idKey]: dialogId });
+  const { data: tokenList, refetch } = useFetchSystemTokenList({
+    [idKey]: dialogId,
+  });
 
   const token =
     Array.isArray(tokenList) && tokenList.length > 0 ? tokenList[0].token : '';
@@ -102,7 +104,7 @@ const useFetchTokenListBeforeOtherStep = (dialogId: string, idKey: string) => {
   };
 };
 
-export const useShowEmbedModal = (dialogId: string, idKey: string) => {
+export const useShowEmbedModal = (idKey: string, dialogId?: string) => {
   const {
     visible: embedVisible,
     hideModal: hideEmbedModal,
@@ -110,8 +112,8 @@ export const useShowEmbedModal = (dialogId: string, idKey: string) => {
   } = useSetModalState();
 
   const { handleOperate, token } = useFetchTokenListBeforeOtherStep(
-    dialogId,
     idKey,
+    dialogId,
   );
 
   const handleShowEmbedModal = useCallback(async () => {
@@ -129,8 +131,8 @@ export const useShowEmbedModal = (dialogId: string, idKey: string) => {
   };
 };
 
-export const usePreviewChat = (dialogId: string, idKey: string) => {
-  const { handleOperate } = useFetchTokenListBeforeOtherStep(dialogId, idKey);
+export const usePreviewChat = (idKey: string, dialogId?: string) => {
+  const { handleOperate } = useFetchTokenListBeforeOtherStep(idKey, dialogId);
 
   const open = useCallback(
     (t: string) => {
diff --git a/web/src/components/highlight-markdown/index.less b/web/src/components/highlight-markdown/index.less
index c0798c06422..cfc5f12da72 100644
--- a/web/src/components/highlight-markdown/index.less
+++ b/web/src/components/highlight-markdown/index.less
@@ -1,4 +1,19 @@
 .text {
-  white-space: pre-wrap; // https://stackoverflow.com/questions/60332183/new-line-with-react-markdown
   .chunkText;
+  font-size: 16px;
+  li {
+    padding: 4px 0px;
+  }
+  // p {
+  //   white-space: pre-wrap; // https://stackoverflow.com/questions/60332183/new-line-with-react-markdown
+  // }
+}
+
+.code {
+  padding: 3px 6px 6px;
+  margin: 0;
+  white-space: break-spaces;
+  background-color: rgba(129, 139, 152, 0.12);
+  border-radius: 4px;
+  color: rgb(31, 35, 40);
 }
diff --git a/web/src/components/highlight-markdown/index.tsx b/web/src/components/highlight-markdown/index.tsx
index 57eda455ea9..490626caa21 100644
--- a/web/src/components/highlight-markdown/index.tsx
+++ b/web/src/components/highlight-markdown/index.tsx
@@ -1,6 +1,6 @@
 import classNames from 'classnames';
 import Markdown from 'react-markdown';
-import SyntaxHighlighter from 'react-syntax-highlighter';
+import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
 import rehypeRaw from 'rehype-raw';
 import remarkGfm from 'remark-gfm';
 
@@ -22,11 +22,16 @@ const HightLightMarkdown = ({
             const { children, className, node, ...rest } = props;
             const match = /language-(\w+)/.exec(className || '');
             return match ? (
-              <SyntaxHighlighter {...rest} PreTag="div" language={match[1]}>
+              <SyntaxHighlighter
+                {...rest}
+                PreTag="div"
+                language={match[1]}
+                // style={dark}
+              >
                 {String(children).replace(/\n$/, '')}
               </SyntaxHighlighter>
             ) : (
-              <code {...rest} className={className}>
+              <code {...rest} className={`${className} ${styles.code}`}>
                 {children}
               </code>
             );
diff --git a/web/src/constants/common.ts b/web/src/constants/common.ts
index 876647dcf4e..2c16044cceb 100644
--- a/web/src/constants/common.ts
+++ b/web/src/constants/common.ts
@@ -41,6 +41,12 @@ export const fileIconMap = {
 
 export const LanguageList = ['English', 'Chinese', 'Traditional Chinese'];
 
+export const LanguageMap = {
+  English: 'English',
+  Chinese: '简体中文',
+  'Traditional Chinese': '繁體中文',
+};
+
 export const LanguageTranslationMap = {
   English: 'en',
   Chinese: 'zh',
diff --git a/web/src/constants/setting.ts b/web/src/constants/setting.ts
index e27244ff084..e09dc4c9fc0 100644
--- a/web/src/constants/setting.ts
+++ b/web/src/constants/setting.ts
@@ -5,6 +5,7 @@ export enum UserSettingRouteKey {
   Password = 'password',
   Model = 'model',
   System = 'system',
+  Api = 'api',
   Team = 'team',
   Logout = 'logout',
 }
diff --git a/web/src/hooks/chat-hooks.ts b/web/src/hooks/chat-hooks.ts
index f9e89066acb..00980a735df 100644
--- a/web/src/hooks/chat-hooks.ts
+++ b/web/src/hooks/chat-hooks.ts
@@ -441,7 +441,7 @@ export const useRemoveNextToken = () => {
     mutationKey: ['removeToken'],
     mutationFn: async (params: {
       tenantId: string;
-      dialogId: string;
+      dialogId?: string;
       tokens: string[];
     }) => {
       const { data } = await chatService.removeToken(params);
diff --git a/web/src/hooks/user-setting-hooks.tsx b/web/src/hooks/user-setting-hooks.tsx
index 688da71725b..68cd9e48212 100644
--- a/web/src/hooks/user-setting-hooks.tsx
+++ b/web/src/hooks/user-setting-hooks.tsx
@@ -1,5 +1,6 @@
 import { LanguageTranslationMap } from '@/constants/common';
 import { ResponseGetType } from '@/interfaces/database/base';
+import { IToken } from '@/interfaces/database/chat';
 import { ITenantInfo } from '@/interfaces/database/knowledge';
 import { ISystemStatus, IUserInfo } from '@/interfaces/database/user-setting';
 import userService from '@/services/user-service';
@@ -152,3 +153,65 @@ export const useFetchSystemStatus = () => {
     loading,
   };
 };
+
+export const useFetchSystemTokenList = (params: Record<string, any>) => {
+  const {
+    data,
+    isFetching: loading,
+    refetch,
+  } = useQuery<IToken[]>({
+    queryKey: ['fetchSystemTokenList', params],
+    initialData: [],
+    gcTime: 0,
+    queryFn: async () => {
+      const { data } = await userService.listToken(params);
+
+      return data?.data ?? [];
+    },
+  });
+
+  return { data, loading, refetch };
+};
+
+export const useRemoveSystemToken = () => {
+  const queryClient = useQueryClient();
+  const { t } = useTranslation();
+
+  const {
+    data,
+    isPending: loading,
+    mutateAsync,
+  } = useMutation({
+    mutationKey: ['removeSystemToken'],
+    mutationFn: async (token: string) => {
+      const { data } = await userService.removeToken({}, token);
+      if (data.retcode === 0) {
+        message.success(t('message.deleted'));
+        queryClient.invalidateQueries({ queryKey: ['fetchSystemTokenList'] });
+      }
+      return data?.data ?? [];
+    },
+  });
+
+  return { data, loading, removeToken: mutateAsync };
+};
+
+export const useCreateSystemToken = () => {
+  const queryClient = useQueryClient();
+  const {
+    data,
+    isPending: loading,
+    mutateAsync,
+  } = useMutation({
+    mutationKey: ['createSystemToken'],
+    mutationFn: async (params: Record<string, any>) => {
+      const { data } = await userService.createToken(params);
+      if (data.retcode === 0) {
+        queryClient.invalidateQueries({ queryKey: ['fetchSystemTokenList'] });
+      }
+      return data?.data ?? [];
+    },
+  });
+
+  return { data, loading, createToken: mutateAsync };
+};
diff --git a/web/src/layouts/components/right-toolbar/index.tsx b/web/src/layouts/components/right-toolbar/index.tsx
index e636dfa843c..267bc23c440 100644
--- a/web/src/layouts/components/right-toolbar/index.tsx
+++ b/web/src/layouts/components/right-toolbar/index.tsx
@@ -5,7 +5,7 @@ import camelCase from 'lodash/camelCase';
 import React from 'react';
 import User from '../user';
 
-import { LanguageList } from '@/constants/common';
+import { LanguageList, LanguageMap } from '@/constants/common';
 import { useChangeLanguage } from '@/hooks/logic-hooks';
 import { useFetchUserInfo } from '@/hooks/user-setting-hooks';
 import styled from './index.less';
@@ -35,7 +35,7 @@ const RightToolBar = () => {
 
   const items: MenuProps['items'] = LanguageList.map((x) => ({
     key: x,
-    label: <span>{t(camelCase(x))}</span>,
+    label: <span>{LanguageMap[x as keyof typeof LanguageMap]}</span>,
   })).reduce<MenuProps['items']>((pre, cur) => {
     return [...pre!, { type: 'divider' }, cur];
   }, []);
diff --git a/web/src/less/mixins.less b/web/src/less/mixins.less
index a80a069358c..7501bdbb29c 100644
--- a/web/src/less/mixins.less
+++ b/web/src/less/mixins.less
@@ -1,3 +1,8 @@
+.tableCell() {
+  padding: 6px 13px;
+  border: 1px solid #d1d9e0;
+}
+
 .chunkText() {
   em {
     color: red;
@@ -5,6 +10,8 @@
   }
   table {
     width: 100%;
+    box-sizing: border-box;
+    border-collapse: collapse;
   }
 
   caption {
@@ -17,8 +24,13 @@
   }
 
   th {
-    color: #fff;
-    background-color: @blurBackground;
+    // color: #fff;
+    // background-color: @blurBackground;
+    .tableCell;
+  }
+
+  td {
+    .tableCell;
   }
 
   td:hover {
@@ -56,3 +68,10 @@
   overflow: hidden;
   text-overflow: ellipsis;
 }
+
+.linkText() {
+  border-radius: 6px;
+  padding: 6px 10px;
+  background-color: #eff8ff;
+  border: 1px;
+}
diff --git a/web/src/locales/en.ts b/web/src/locales/en.ts
index 8a0c5d1847b..08d67fd2aca 100644
--- a/web/src/locales/en.ts
+++ b/web/src/locales/en.ts
@@ -400,7 +400,7 @@ The above is the content you need to summarize.`,
       quoteTip: 'Should the source of the original text be displayed?',
       selfRag: 'Self-RAG',
       selfRagTip: 'Please refer to: https://huggingface.co/papers/2310.11511',
-      overview: 'Chat Bot API',
+      overview: 'Chat ID',
       pv: 'Number of messages',
       uv: 'Active user number',
       speed: 'Token output speed',
@@ -413,7 +413,7 @@ The above is the content you need to summarize.`,
       apiKey: 'API Key',
       apiReference: 'API Documents',
       dateRange: 'Date Range:',
-      backendServiceApi: 'Backend service API',
+      backendServiceApi: 'API Server',
       createNewKey: 'Create new key',
       created: 'Created',
       action: 'Action',
@@ -451,6 +451,7 @@ The above is the content you need to summarize.`,
       team: 'Team',
       system: 'System',
       logout: 'Log out',
+      api: 'API',
       username: 'Username',
       usernameMessage: 'Please input your username!',
       photo: 'Your photo',
diff --git a/web/src/locales/zh-traditional.ts b/web/src/locales/zh-traditional.ts
index efa0691117e..ce5ce2f1bbb 100644
--- a/web/src/locales/zh-traditional.ts
+++ b/web/src/locales/zh-traditional.ts
@@ -371,7 +371,7 @@ export default {
       quoteTip: '是否應該顯示原文出處？',
       selfRag: 'Self-RAG',
       selfRagTip: '請參考: https://huggingface.co/papers/2310.11511',
-      overview: '聊天 API',
+      overview: '聊天 ID',
       pv: '消息數',
       uv: '活躍用戶數',
       speed: 'Token 輸出速度',
@@ -384,7 +384,7 @@ export default {
       apiKey: 'API 鍵',
       apiReference: 'API 文檔',
       dateRange: '日期範圍：',
-      backendServiceApi: '後端服務 API',
+      backendServiceApi: 'API 伺服器',
       createNewKey: '創建新密鑰',
       created: '創建於',
       action: '操作',
diff --git a/web/src/locales/zh.ts b/web/src/locales/zh.ts
index 0dc4904e1be..03baa65cb4c 100644
--- a/web/src/locales/zh.ts
+++ b/web/src/locales/zh.ts
@@ -388,7 +388,7 @@ export default {
       quoteTip: '是否应该显示原文出处？',
       selfRag: 'Self-RAG',
       selfRagTip: '请参考: https://huggingface.co/papers/2310.11511',
-      overview: '聊天 API',
+      overview: '聊天 ID',
       pv: '消息数',
       uv: '活跃用户数',
       speed: 'Token 输出速度',
@@ -401,7 +401,7 @@ export default {
       apiKey: 'API 键',
       apiReference: 'API 文档',
       dateRange: '日期范围：',
-      backendServiceApi: '后端服务 API',
+      backendServiceApi: 'API 服务器',
       createNewKey: '创建新密钥',
       created: '创建于',
       action: '操作',
diff --git a/web/src/pages/api/index.tsx b/web/src/pages/api/index.tsx
new file mode 100644
index 00000000000..c41ef489fe4
--- /dev/null
+++ b/web/src/pages/api/index.tsx
@@ -0,0 +1,11 @@
+import ApiContent from '@/components/api-service/chat-overview-modal/api-content';
+
+const ApiPage = () => {
+  return (
+    <div>
+      <ApiContent idKey="dialogId"></ApiContent>
+    </div>
+  );
+};
+
+export default ApiPage;
diff --git a/web/src/pages/chat/chat-id-modal/index.less b/web/src/pages/chat/chat-id-modal/index.less
new file mode 100644
index 00000000000..c95b34c95aa
--- /dev/null
+++ b/web/src/pages/chat/chat-id-modal/index.less
@@ -0,0 +1,3 @@
+.id {
+  .linkText();
+}
diff --git a/web/src/pages/chat/chat-id-modal/index.tsx b/web/src/pages/chat/chat-id-modal/index.tsx
new file mode 100644
index 00000000000..9ea92a18044
--- /dev/null
+++ b/web/src/pages/chat/chat-id-modal/index.tsx
@@ -0,0 +1,34 @@
+import { useTranslate } from '@/hooks/common-hooks';
+import { IModalProps } from '@/interfaces/common';
+import { Modal, Typography } from 'antd';
+
+import styles from './index.less';
+
+const { Paragraph } = Typography;
+
+const ChatIdModal = ({
+  visible,
+  hideModal,
+  id,
+}: IModalProps<any> & { id: string; name?: string; idKey: string }) => {
+  const { t } = useTranslate('chat');
+
+  return (
+    <>
+      <Modal
+        title={t('overview')}
+        open={visible}
+        onCancel={hideModal}
+        cancelButtonProps={{ style: { display: 'none' } }}
+        onOk={hideModal}
+        okText={t('close', { keyPrefix: 'common' })}
+      >
+        <Paragraph copyable={{ text: id }} className={styles.id}>
+          {id}
+        </Paragraph>
+      </Modal>
+    </>
+  );
+};
+
+export default ChatIdModal;
diff --git a/web/src/pages/chat/index.tsx b/web/src/pages/chat/index.tsx
index 3a87a83958b..550a81381f1 100644
--- a/web/src/pages/chat/index.tsx
+++ b/web/src/pages/chat/index.tsx
@@ -1,6 +1,6 @@
 import { ReactComponent as ChatAppCube } from '@/assets/svg/chat-app-cube.svg';
 import RenameModal from '@/components/rename-modal';
-import { CloudOutlined, DeleteOutlined, EditOutlined } from '@ant-design/icons';
+import { DeleteOutlined, EditOutlined, KeyOutlined } from '@ant-design/icons';
 import {
   Avatar,
   Button,
@@ -29,7 +29,6 @@ import {
   useSelectDerivedConversationList,
 } from './hooks';
 
-import ChatOverviewModal from '@/components/api-service/chat-overview-modal';
 import SvgIcon from '@/components/svg-icon';
 import {
   useClickConversationCard,
@@ -40,6 +39,7 @@ import {
 import { useSetModalState, useTranslate } from '@/hooks/common-hooks';
 import { useSetSelectedRecord } from '@/hooks/logic-hooks';
 import { IDialog } from '@/interfaces/database/chat';
+import ChatIdModal from './chat-id-modal';
 import styles from './index.less';
 
 const { Text } = Typography;
@@ -190,7 +190,7 @@ const Chat = () => {
         onClick: handleShowOverviewModal(dialog),
         label: (
           <Space>
-            <CloudOutlined />
+            <KeyOutlined />
             {t('overview')}
           </Space>
         ),
@@ -367,13 +367,13 @@ const Chat = () => {
         loading={conversationRenameLoading}
       ></RenameModal>
       {overviewVisible && (
-        <ChatOverviewModal
+        <ChatIdModal
           visible={overviewVisible}
           hideModal={hideOverviewModal}
           id={currentRecord.id}
           name={currentRecord.name}
           idKey="dialogId"
-        ></ChatOverviewModal>
+        ></ChatIdModal>
       )}
     </Flex>
   );
diff --git a/web/src/pages/user-setting/constants.tsx b/web/src/pages/user-setting/constants.tsx
index e8360487e1d..1fa4c859eb9 100644
--- a/web/src/pages/user-setting/constants.tsx
+++ b/web/src/pages/user-setting/constants.tsx
@@ -1,3 +1,4 @@
+import { ReactComponent as ApiIcon } from '@/assets/svg/api.svg';
 import { ReactComponent as LogoutIcon } from '@/assets/svg/logout.svg';
 import { ReactComponent as ModelIcon } from '@/assets/svg/model-providers.svg';
 import { ReactComponent as PasswordIcon } from '@/assets/svg/password.svg';
@@ -13,6 +14,7 @@ export const UserSettingIconMap = {
   [UserSettingRouteKey.System]: <MonitorOutlined style={{ fontSize: 24 }} />,
   [UserSettingRouteKey.Team]: <TeamIcon />,
   [UserSettingRouteKey.Logout]: <LogoutIcon />,
+  [UserSettingRouteKey.Api]: <ApiIcon />,
 };
 
 export * from '@/constants/setting';
diff --git a/web/src/pages/user-setting/setting-api/index.less b/web/src/pages/user-setting/setting-api/index.less
new file mode 100644
index 00000000000..772530dd955
--- /dev/null
+++ b/web/src/pages/user-setting/setting-api/index.less
@@ -0,0 +1,7 @@
+.apiWrapper {
+  width: 100%;
+
+  div[class^='chartWrapper'] {
+    height: auto !important;
+  }
+}
diff --git a/web/src/pages/user-setting/setting-api/index.tsx b/web/src/pages/user-setting/setting-api/index.tsx
new file mode 100644
index 00000000000..8b07b89530a
--- /dev/null
+++ b/web/src/pages/user-setting/setting-api/index.tsx
@@ -0,0 +1,13 @@
+import ApiContent from '@/components/api-service/chat-overview-modal/api-content';
+
+import styles from './index.less';
+
+const ApiPage = () => {
+  return (
+    <div className={styles.apiWrapper}>
+      <ApiContent idKey="dialogId" hideChatPreviewCard></ApiContent>
+    </div>
+  );
+};
+
+export default ApiPage;
diff --git a/web/src/routes.ts b/web/src/routes.ts
index eb1ed77b3ce..dfaec0b4082 100644
--- a/web/src/routes.ts
+++ b/web/src/routes.ts
@@ -77,6 +77,10 @@ const routes = [
             path: '/user-setting/system',
             component: '@/pages/user-setting/setting-system',
           },
+          {
+            path: '/user-setting/api',
+            component: '@/pages/user-setting/setting-api',
+          },
         ],
       },
       {
diff --git a/web/src/services/user-service.ts b/web/src/services/user-service.ts
index f68f2d30631..99617bae0d8 100644
--- a/web/src/services/user-service.ts
+++ b/web/src/services/user-service.ts
@@ -19,6 +19,9 @@ const {
   deleteFactory,
   getSystemStatus,
   getSystemVersion,
+  getSystemTokenList,
+  removeSystemToken,
+  createSystemToken,
 } = api;
 
 const methods = {
@@ -86,6 +89,18 @@ const methods = {
     url: deleteFactory,
     method: 'post',
   },
+  listToken: {
+    url: getSystemTokenList,
+    method: 'get',
+  },
+  createToken: {
+    url: createSystemToken,
+    method: 'post',
+  },
+  removeToken: {
+    url: removeSystemToken,
+    method: 'delete',
+  },
 } as const;
 
 const userService = registerServer<keyof typeof methods>(methods, request);
diff --git a/web/src/utils/api.ts b/web/src/utils/api.ts
index 94e1a584025..99639f4b5ec 100644
--- a/web/src/utils/api.ts
+++ b/web/src/utils/api.ts
@@ -94,6 +94,10 @@ export default {
   // system
   getSystemVersion: `${api_host}/system/version`,
   getSystemStatus: `${api_host}/system/status`,
+  getSystemTokenList: `${api_host}/system/token_list`,
+  createSystemToken: `${api_host}/system/new_token`,
+  listSystemToken: `${api_host}/system/token_list`,
+  removeSystemToken: `${api_host}/system/token`,
 
   // flow
   listTemplates: `${api_host}/canvas/templates`,
diff --git a/web/tsconfig.json b/web/tsconfig.json
index 824e6cc8df0..588e43b5add 100644
--- a/web/tsconfig.json
+++ b/web/tsconfig.json
@@ -1,4 +1,5 @@
 {
   "extends": "./src/.umi/tsconfig.json",
   "@@/*": ["src/.umi/*"],
+  "root": ["../*"],
 }