DRAFT: Miscellaneous updates to HTTP API. Tried to finish off Python API ref… (#2909)

…erence but failed.

### What problem does this PR solve?



### Type of change


- [x] Documentation Update

api/python_api_reference.md

@@ -380,7 +380,7 @@ The ID of the document to retrieve. Defaults to `None`.
 
 #### keywords: `str`
 
-The keywords to match document titles. Defaults to `None`.
+The keywords used to match document titles. Defaults to `None`.
 
 #### offset: `int`
 
@@ -419,7 +419,7 @@ A `Document` object contains the following attributes:
 - `created_by`: `str` The creator of the document. Defaults to `""`.
 - `size`: `int` The document size in bytes. Defaults to `0`.
 - `token_count`: `int` The number of tokens in the document. Defaults to `0`.
-- `chunk_count`: `int` The number of chunks that the document is split into. Defaults to `0`.
+- `chunk_count`: `int` The number of chunks in the document. Defaults to `0`.
 - `progress`: `float` The current processing progress as a percentage. Defaults to `0.0`.
 - `progress_msg`: `str` A message indicating the current progress status. Defaults to `""`.
 - `process_begin_at`: `datetime` The start time of document processing. Defaults to `None`.
@@ -432,8 +432,8 @@ A `Document` object contains the following attributes:
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-dataset = rag.create_dataset(name="kb_1")
+dataset = rag_object.create_dataset(name="kb_1")
 
 filename1 = "~/ragflow.txt"
 blob = open(filename1 , "rb").read()
@@ -482,6 +482,8 @@ dataset.delete_documents(ids=["id_1","id_2"])
 DataSet.async_parse_documents(document_ids:list[str]) -> None
 ```
 
+Parses documents in the current dataset.
+
 ### Parameters
 
 #### document_ids: `list[str]`, *Required*
@@ -490,7 +492,7 @@ The IDs of the documents to parse.
 
 ### Returns
 
-- Success: No value is returned.
+- Success: No value is returned.????????????????????
 - Failure: `Exception`
 
 ### Examples
@@ -520,6 +522,8 @@ print("Async bulk parsing initiated.")
 DataSet.async_cancel_parse_documents(document_ids:list[str])-> None
 ```
 
+Stops parsing specified documents.
+
 ### Parameters
 
 #### document_ids: `list[str]`, *Required*
@@ -554,27 +558,80 @@ print("Async bulk parsing cancelled.")
 
 ---
 
+## Add chunk
+
+```python
+Document.add_chunk(content:str) -> Chunk ?????????????????????
+```
+
+Adds a chunk to the current document.
+
+### Parameters
+
+#### content: `str`, *Required*
+
+The text content of the chunk.
+
+#### important_keywords: `list[str]`  ??????????????????????
+
+The key terms or phrases to tag with the chunk.
+
+### Returns
+
+- Success: A `Chunk` object.
+- Failure: `Exception`.
+
+A `Chunk` object contains the following attributes:
+
+- `id`: `str` 
+- `content`: `str` Content of the chunk.
+- `important_keywords`: `list[str]` A list of key terms or phrases to tag with the chunk.
+- `create_time`: `str` The time when the chunk was created (added to the document).
+- `create_timestamp`: `float` The timestamp representing the creation time of the chunk, expressed in seconds since January 1, 1970.
+- `knowledgebase_id`: `str` The ID of the associated dataset.
+- `document_name`: `str` The name of the associated document.
+- `document_id`: `str` The ID of the associated document.
+- `available`: `int`???? The chunk's availability status in the dataset. Value options:
+  - `0`: Unavailable
+  - `1`: Available
+
+
+### Examples
+
+```python
+from ragflow import RAGFlow
+
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+dataset = rag_object.list_datasets(id="123")
+dtaset = dataset[0]
+doc = dataset.list_documents(id="wdfxb5t547d")
+doc = doc[0]
+chunk = doc.add_chunk(content="xxxxxxx")
+```
+
+---
+
 ## List chunks
 
 ```python
 Document.list_chunks(keywords: str = None, offset: int = 0, limit: int = -1, id : str = None) -> list[Chunk]
 ```
 
-Retrieves a list of document chunks.
+Retrieves a list of chunks from the current document.
 
 ### Parameters
 
 #### keywords: `str`  
   
-List chunks whose name has the given keywords. Defaults to `None`
+The keywords used to match chunk content. Defaults to `None`
 
 #### offset: `int`
 
-The starting index for the chunks to retrieve. Defaults to `1`
+The starting index for the chunks to retrieve. Defaults to `1`??????
 
 #### limit  
 
-The maximum number of chunks to retrieve.  Default: `30`
+The maximum number of chunks to retrieve.  Default: `30`?????????
 
 #### id
 
@@ -598,42 +655,9 @@ for chunk in doc.list_chunks(keywords="rag", offset=0, limit=12):
     print(chunk)
 ```
 
-## Add chunk
-
-```python
-Document.add_chunk(content:str) -> Chunk
-```
-
-### Parameters
-
-#### content: *Required*
-
-The text content of the chunk.
-
-#### important_keywords :`list[str]`
-
-List the key terms or phrases that are significant or central to the chunk's content.
-
-### Returns
-
-chunk
-
-### Examples
-
-```python
-from ragflow import RAGFlow
-
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-dataset = rag.list_datasets(id="123")
-dtaset = dataset[0]
-doc = dataset.list_documents(id="wdfxb5t547d")
-doc = doc[0]
-chunk = doc.add_chunk(content="xxxxxxx")
-```
-
 ---
 
-## Delete chunk
+## Delete chunks
 
 ```python
 Document.delete_chunks(chunk_ids: list[str])
@@ -657,10 +681,10 @@ The IDs of the chunks to delete. Defaults to `None`. If not specified, all chunk
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-ds = rag.list_datasets(id="123")
+dataset = rag_object.list_datasets(id="123")
-ds = ds[0]
+dataset = dataset[0]
-doc = ds.list_documents(id="wdfxb5t547d")
+doc = dataset.list_documents(id="wdfxb5t547d")
 doc = doc[0]
 chunk = doc.add_chunk(content="xxxxxxx")
 doc.delete_chunks(["id_1","id_2"])
@@ -683,7 +707,7 @@ Updates content or configurations for the current chunk.
 A dictionary representing the attributes to update, with the following keys:
 
 - `"content"`: `str` Content of the chunk.
-- `"important_keywords"`: `list[str]` A list of key terms to attach to the chunk.
+- `"important_keywords"`: `list[str]` A list of key terms or phrases to tag with the chunk.
 - `"available"`: `int` The chunk's availability status in the dataset. Value options:
   - `0`: Unavailable
   - `1`: Available
@@ -715,13 +739,15 @@ chunk.update({"content":"sdfx..."})
 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
 
 #### question: `str` *Required*
 
 The user query or query keywords. Defaults to `""`.
 
-#### datasets: `list[str]`, *Required*
+#### datasets: `list[str]`, *Required*?????
 
 The datasets to search from.
 
@@ -735,7 +761,7 @@ The starting index for the documents to retrieve. Defaults to `0`??????.
 
 #### limit: `int`
 
-The maximum number of chunks to retrieve. Defaults to `6`.
+The maximum number of chunks to retrieve. Defaults to `6`.???????????????
 
 #### Similarity_threshold: `float`
 
@@ -749,18 +775,18 @@ The weight of vector cosine similarity. Defaults to `0.3`. If x represents the v
 
 The number of chunks engaged in vector cosine computaton. Defaults to `1024`.
 
-#### rerank_id
+#### rerank_id: `str`
 
-The ID of the rerank model.  Defaults to `None`.
+The ID of the rerank model. Defaults to `None`.
 
-#### keyword
+#### keyword: `bool`
 
 Indicates whether keyword-based matching is enabled:
 
 - `True`: Enabled.
-- `False`: Disabled.
+- `False`: Disabled (default).
 
-#### highlight:`bool`
+#### highlight: `bool`
 
 Specifying whether to enable highlighting of matched terms in the results (True) or not (False).
 
@@ -775,16 +801,16 @@ Specifying whether to enable highlighting of matched terms in the results (True)
 from ragflow import RAGFlow
 
 rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-ds = rag_object.list_datasets(name="ragflow")
+dataset = rag_object.list_datasets(name="ragflow")
-ds = ds[0]
+dataset = dataset[0]
 name = 'ragflow_test.txt'
 path = './test_data/ragflow_test.txt'
-rag_object.create_document(ds, name=name, blob=open(path, "rb").read())
+rag_object.create_document(dataset, name=name, blob=open(path, "rb").read())
-doc = ds.list_documents(name=name)
+doc = dataset.list_documents(name=name)
 doc = doc[0]
-ds.async_parse_documents([doc.id])
+dataset.async_parse_documents([doc.id])
 for c in rag_object.retrieve(question="What's ragflow?", 
-             datasets=[ds.id], documents=[doc.id], 
+             datasets=[dataset.id], documents=[doc.id], 
              offset=1, limit=30, similarity_threshold=0.2, 
              vector_similarity_weight=0.3,
              top_k=1024
@@ -818,11 +844,11 @@ Creates a chat assistant.
 
 The following shows the attributes of a `Chat` object:
 
-#### name: *Required*
+#### name: `str`, *Required*????????
 
 The name of the chat assistant. Defaults to `"assistant"`.
 
-#### avatar
+#### avatar: `str`
 
 Base64 encoding of the avatar. Defaults to `""`.
 
@@ -830,7 +856,7 @@ Base64 encoding of the avatar. Defaults to `""`.
 
 The IDs of the associated datasets. Defaults to `[""]`.
 
-#### llm
+#### llm: `Chat.LLM`
 
 The llm of the created chat. Defaults to `None`. When the value is `None`, a dictionary with the following values will be generated as the default.
 
@@ -849,7 +875,7 @@ An `LLM` object contains the following attributes:
 - `max_token`, `int`  
   This sets the maximum length of the model’s output, measured in the number of tokens (words or pieces of words). Defaults to `512`.
 
-#### Prompt
+#### prompt: `Chat.Prompt`
 
 Instructions for the LLM to follow.  A `Prompt` object contains the following attributes:
 
@@ -876,17 +902,17 @@ Instructions for the LLM to follow.  A `Prompt` object contains the following at
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-kbs = rag.list_datasets(name="kb_1")
+datasets = rag_object.list_datasets(name="kb_1")
-list_kb=[]
+dataset_ids = []
-for kb in kbs:
+for dataset in datasets:
-    list_kb.append(kb.id)
+    dataset_ids.append(dataset.id)
-assi = rag.create_chat("Miss R", knowledgebases=list_kb)
+assistant = rag_object.create_chat("Miss R", knowledgebases=dataset_ids)
 ```
 
 ---
 
-## Update chat
+## Update chat assistant
 
 ```python
 Chat.update(update_message: dict)
@@ -934,15 +960,15 @@ A dictionary representing the attributes to update, with the following keys:
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-knowledge_base = rag.list_datasets(name="kb_1")
+datasets = rag_object.list_datasets(name="kb_1")
-assistant = rag.create_chat("Miss R", knowledgebases=knowledge_base)
+assistant = rag_object.create_chat("Miss R", knowledgebases=datasets)
 assistant.update({"name": "Stefan", "llm": {"temperature": 0.8}, "prompt": {"top_n": 8}})
 ```
 
 ---
 
-## Delete chats
+## Delete chat assistants
 
 ```python
 RAGFlow.delete_chats(ids: list[str] = None)
@@ -966,13 +992,13 @@ The IDs of the chat assistants to delete. Defaults to `None`. If not specified,
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-rag.delete_chats(ids=["id_1","id_2"])
+rag_object.delete_chats(ids=["id_1","id_2"])
 ```
 
 ---
 
-## List chats
+## List chat assistants
 
 ```python
 RAGFlow.list_chats(
@@ -989,29 +1015,32 @@ Retrieves a list of chat assistants.
 
 ### Parameters
 
-#### page
+#### page: `int`
 
 Specifies the page on which the chat assistants will be displayed. Defaults to `1`.
 
-#### page_size
+#### page_size: `int`
 
 The number of chat assistants on each page. Defaults to `1024`.
 
-#### order_by
+#### orderby: `str`
 
-The attribute by which the results are sorted. Defaults to `"create_time"`.
+The attribute by which the results are sorted. Available options:
 
-#### desc
+- `"create_time"` (default)
+- `"update_time"`
+
+#### desc: `bool`
 
 Indicates whether the retrieved chat assistants should be sorted in descending order. Defaults to `True`.
 
-#### id: `string`  
+#### id: `str`  
 
-The ID of the chat to retrieve. Defaults to `None`.
+The ID of the chat assistant to retrieve. Defaults to `None`.
 
-#### name: `string`  
+#### name: `str`  
 
-The name of the chat to retrieve. Defaults to `None`.
+The name of the chat assistant to retrieve. Defaults to `None`.
 
 ### Returns
 
@@ -1031,7 +1060,7 @@ for assistant in rag_object.list_chats():
 ---
 
 :::tip API GROUPING
-Chat-session APIs
+Chat Session APIs
 :::
 
 ---
@@ -1046,7 +1075,7 @@ Creates a chat session.
 
 ### Parameters
 
-#### name
+#### name: `str`
 
 The name of the chat session to create.
 
@@ -1064,12 +1093,14 @@ The name of the chat session to create.
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-assistant = rag.list_chats(name="Miss R")
+assistant = rag_object.list_chats(name="Miss R")
 assistant = assistant[0]
 session = assistant.create_session()
 ```
 
+---
+
 ## Update session
 
 ```python
@@ -1096,8 +1127,8 @@ A dictionary representing the attributes to update, with only one key:
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-assistant = rag.list_chats(name="Miss R")
+assistant = rag_object.list_chats(name="Miss R")
 assistant = assistant[0]
 session = assistant.create_session("session_name")
 session.update({"name": "updated_name"})
@@ -1105,6 +1136,101 @@ session.update({"name": "updated_name"})
 
 ---
 
+## List sessions
+
+```python
+Chat.list_sessions(
+    page: int = 1, 
+    page_size: int = 1024, 
+    orderby: str = "create_time", 
+    desc: bool = True,
+    id: str = None,
+    name: str = None
+) -> list[Session]
+```
+
+Lists sessions associated with the current chat assistant.
+
+### Parameters
+
+#### page: `int`
+
+Specifies the page on which the sessions will be displayed. Defaults to `1`.
+
+#### page_size: `int`
+
+The number of sessions on each page. Defaults to `1024`.
+
+#### orderby: `str`
+
+The field by which sessions should be sorted. Available options:
+
+- `"create_time"` (default)
+- `"update_time"`
+
+#### desc: `bool`
+
+Indicates whether the retrieved sessions should be sorted in descending order. Defaults to `True`.
+
+#### id: `str`
+
+The ID of the chat session to retrieve. Defaults to `None`.
+
+#### name: `str`
+
+The name of the chat session to retrieve. Defaults to `None`.
+
+### Returns
+
+- Success: A list of `Session` objects associated with the current chat assistant.
+- Failure: `Exception`.
+
+### Examples
+
+```python
+from ragflow import RAGFlow
+
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag_object.list_chats(name="Miss R")
+assistant = assistant[0]
+for session in assistant.list_sessions():
+    print(session)
+```
+
+---
+
+## Delete sessions
+
+```python
+Chat.delete_sessions(ids:list[str] = None)
+```
+
+Deletes sessions by ID.
+
+### Parameters
+
+#### ids: `list[str]`
+
+The IDs of the sessions to delete. Defaults to `None`. If not specified, all sessions associated with the current chat assistant will be deleted.
+
+### Returns
+
+- Success: No value is returned.
+- Failure: `Exception`
+
+### Examples
+
+```python
+from ragflow import RAGFlow
+
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+assistant = rag_object.list_chats(name="Miss R")
+assistant = assistant[0]
+assistant.delete_sessions(ids=["id_1","id_2"])
+```
+
+---
+
 ## Chat
 
 ```python
@@ -1115,11 +1241,11 @@ Asks a question to start a conversation.
 
 ### Parameters
 
-#### question *Required*
+#### question: `str` *Required*
 
-The question to start an AI chat. Defaults to `None`.
+The question to start an AI chat.
 
-#### stream
+#### stream: `str`
 
 Indicates whether to output responses in a streaming way:
 
@@ -1172,8 +1298,8 @@ A list of `Chunk` objects representing references to the message, each containin
 ```python
 from ragflow import RAGFlow
 
-rag = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
+rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-assistant = rag.list_chats(name="Miss R")
+assistant = rag_object.list_chats(name="Miss R")
 assistant = assistant[0]
 session = assistant.create_session()    
 
@@ -1189,98 +1315,3 @@ while True:
         print(answer.content[len(cont):], end='', flush=True)
         cont = answer.content
 ```
-
----
-
-## List sessions
-
-```python
-Chat.list_sessions(
-    page: int = 1, 
-    page_size: int = 1024, 
-    orderby: str = "create_time", 
-    desc: bool = True,
-    id: str = None,
-    name: str = None
-) -> list[Session]
-```
-
-Lists sessions associated with the current chat assistant.
-
-### Parameters
-
-#### page
-
-Specifies the page on which the sessions will be displayed. Defaults to `1`.
-
-#### page_size
-
-The number of sessions on each page. Defaults to `1024`.
-
-#### orderby
-
-The field by which sessions should be sorted. Available options:
-
-- `"create_time"` (default)
-- `"update_time"`
-
-#### desc
-
-Indicates whether the retrieved sessions should be sorted in descending order. Defaults to `True`.
-
-#### id
-
-The ID of the chat session to retrieve. Defaults to `None`.
-
-#### name
-
-The name of the chat to retrieve. Defaults to `None`.
-
-### Returns
-
-- Success: A list of `Session` objects associated with the current chat assistant.
-- Failure: `Exception`.
-
-### Examples
-
-```python
-from ragflow import RAGFlow
-
-rag_object = RAGFlow(api_key="<YOUR_API_KEY>", base_url="http://<YOUR_BASE_URL>:9380")
-assistant = rag_object.list_chats(name="Miss R")
-assistant = assistant[0]
-for session in assistant.list_sessions():
-    print(session)
-```
-
----
-
-## Delete sessions
-
-```python
-Chat.delete_sessions(ids:list[str] = None)
-```
-
-Deletes sessions by ID.
-
-### Parameters
-
-#### ids: `list[str]`
-
-The IDs of the sessions to delete. Defaults to `None`. If not specified, all sessions associated with the current chat assistant will be deleted.
-
-### Returns
-
-- Success: No value is returned.
-- Failure: `Exception`
-
-### 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]
-assistant.delete_sessions(ids=["id_1","id_2"])
-```