Merge remote-tracking branch 'upstream/main'

README.md

@@ -171,7 +171,7 @@ rag = LightRAG(working_dir=WORKING_DIR)
 
 # Create query parameters
 query_param = QueryParam(
-    mode="hybrid",  # or other mode: "local", "global", "hybrid"
+    mode="hybrid",  # or other mode: "local", "global", "hybrid", "mix" and "naive"
 )
 
 # Example 1: Using the default system prompt
@@ -184,11 +184,20 @@ print(response_default)
 # Example 2: Using a custom prompt
 custom_prompt = """
 You are an expert assistant in environmental science. Provide detailed and structured answers with examples.
+---Conversation History---
+{history}
+
+---Knowledge Base---
+{context_data}
+
+---Response Rules---
+
+- Target format and length: {response_type}
 """
 response_custom = rag.query(
     "What are the primary benefits of renewable energy?",
     param=query_param,
-    prompt=custom_prompt  # Pass the custom prompt
+    system_prompt=custom_prompt  # Pass the custom prompt
 )
 print(response_custom)
 ```

lightrag/api/lightrag_server.py

@@ -13,14 +13,13 @@ import re
 from fastapi.staticfiles import StaticFiles
 import logging
 import argparse
-from typing import List, Any, Optional, Dict
+from typing import List, Any, Literal, Optional, Dict
-from pydantic import BaseModel
+from pydantic import BaseModel, Field, field_validator
 from lightrag import LightRAG, QueryParam
+from lightrag.base import DocProcessingStatus, DocStatus
 from lightrag.types import GPTKeywordExtractionFormat
 from lightrag.api import __api_version__
 from lightrag.utils import EmbeddingFunc
-from lightrag.base import DocStatus, DocProcessingStatus
-from enum import Enum
 from pathlib import Path
 import shutil
 import aiofiles
@@ -637,71 +636,155 @@ class DocumentManager:
         return any(filename.lower().endswith(ext) for ext in self.supported_extensions)
 
 
-# LightRAG query mode
-class SearchMode(str, Enum):
-    naive = "naive"
-    local = "local"
-    global_ = "global"
-    hybrid = "hybrid"
-    mix = "mix"
-
-
 class QueryRequest(BaseModel):
-    query: str
+    query: str = Field(
+        min_length=1,
+        description="The query text",
+    )
 
-    """Specifies the retrieval mode"""
+    mode: Literal["local", "global", "hybrid", "naive", "mix"] = Field(
-    mode: SearchMode = SearchMode.hybrid
+        default="hybrid",
+        description="Query mode",
+    )
 
-    """If True, enables streaming output for real-time responses."""
+    only_need_context: Optional[bool] = Field(
-    stream: Optional[bool] = None
+        default=None,
+        description="If True, only returns the retrieved context without generating a response.",
+    )
 
-    """If True, only returns the retrieved context without generating a response."""
+    only_need_prompt: Optional[bool] = Field(
-    only_need_context: Optional[bool] = None
+        default=None,
+        description="If True, only returns the generated prompt without producing a response.",
+    )
 
-    """If True, only returns the generated prompt without producing a response."""
+    response_type: Optional[str] = Field(
-    only_need_prompt: Optional[bool] = None
+        min_length=1,
+        default=None,
+        description="Defines the response format. Examples: 'Multiple Paragraphs', 'Single Paragraph', 'Bullet Points'.",
+    )
 
-    """Defines the response format. Examples: 'Multiple Paragraphs', 'Single Paragraph', 'Bullet Points'."""
+    top_k: Optional[int] = Field(
-    response_type: Optional[str] = None
+        ge=1,
+        default=None,
+        description="Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode.",
+    )
 
-    """Number of top items to retrieve. Represents entities in 'local' mode and relationships in 'global' mode."""
+    max_token_for_text_unit: Optional[int] = Field(
-    top_k: Optional[int] = None
+        gt=1,
+        default=None,
+        description="Maximum number of tokens allowed for each retrieved text chunk.",
+    )
 
-    """Maximum number of tokens allowed for each retrieved text chunk."""
+    max_token_for_global_context: Optional[int] = Field(
-    max_token_for_text_unit: Optional[int] = None
+        gt=1,
+        default=None,
+        description="Maximum number of tokens allocated for relationship descriptions in global retrieval.",
+    )
 
-    """Maximum number of tokens allocated for relationship descriptions in global retrieval."""
+    max_token_for_local_context: Optional[int] = Field(
-    max_token_for_global_context: Optional[int] = None
+        gt=1,
+        default=None,
+        description="Maximum number of tokens allocated for entity descriptions in local retrieval.",
+    )
 
-    """Maximum number of tokens allocated for entity descriptions in local retrieval."""
+    hl_keywords: Optional[List[str]] = Field(
-    max_token_for_local_context: Optional[int] = None
+        default=None,
+        description="List of high-level keywords to prioritize in retrieval.",
+    )
 
-    """List of high-level keywords to prioritize in retrieval."""
+    ll_keywords: Optional[List[str]] = Field(
-    hl_keywords: Optional[List[str]] = None
+        default=None,
+        description="List of low-level keywords to refine retrieval focus.",
+    )
 
-    """List of low-level keywords to refine retrieval focus."""
+    conversation_history: Optional[List[dict[str, Any]]] = Field(
-    ll_keywords: Optional[List[str]] = None
+        default=None,
+        description="Stores past conversation history to maintain context. Format: [{'role': 'user/assistant', 'content': 'message'}].",
+    )
 
-    """Stores past conversation history to maintain context.
+    history_turns: Optional[int] = Field(
-    Format: [{"role": "user/assistant", "content": "message"}].
+        ge=0,
-    """
+        default=None,
-    conversation_history: Optional[List[dict[str, Any]]] = None
+        description="Number of complete conversation turns (user-assistant pairs) to consider in the response context.",
+    )
 
-    """Number of complete conversation turns (user-assistant pairs) to consider in the response context."""
+    @field_validator("query", mode="after")
-    history_turns: Optional[int] = None
+    @classmethod
+    def query_strip_after(cls, query: str) -> str:
+        return query.strip()
+
+    @field_validator("hl_keywords", mode="after")
+    @classmethod
+    def hl_keywords_strip_after(cls, hl_keywords: List[str] | None) -> List[str] | None:
+        if hl_keywords is None:
+            return None
+        return [keyword.strip() for keyword in hl_keywords]
+
+    @field_validator("ll_keywords", mode="after")
+    @classmethod
+    def ll_keywords_strip_after(cls, ll_keywords: List[str] | None) -> List[str] | None:
+        if ll_keywords is None:
+            return None
+        return [keyword.strip() for keyword in ll_keywords]
+
+    @field_validator("conversation_history", mode="after")
+    @classmethod
+    def conversation_history_role_check(
+        cls, conversation_history: List[dict[str, Any]] | None
+    ) -> List[dict[str, Any]] | None:
+        if conversation_history is None:
+            return None
+        for msg in conversation_history:
+            if "role" not in msg or msg["role"] not in {"user", "assistant"}:
+                raise ValueError(
+                    "Each message must have a 'role' key with value 'user' or 'assistant'."
+                )
+        return conversation_history
+
+    def to_query_params(self, is_stream: bool) -> QueryParam:
+        """Converts a QueryRequest instance into a QueryParam instance."""
+        # Use Pydantic's `.model_dump(exclude_none=True)` to remove None values automatically
+        request_data = self.model_dump(exclude_none=True, exclude={"query"})
+
+        # Ensure `mode` and `stream` are set explicitly
+        param = QueryParam(**request_data)
+        param.stream = is_stream
+        return param
 
 
 class QueryResponse(BaseModel):
-    response: str
+    response: str = Field(
+        description="The generated response",
+    )
 
 
 class InsertTextRequest(BaseModel):
-    text: str
+    text: str = Field(
+        min_length=1,
+        description="The text to insert",
+    )
+
+    @field_validator("text", mode="after")
+    @classmethod
+    def strip_after(cls, text: str) -> str:
+        return text.strip()
+
+
+class InsertTextsRequest(BaseModel):
+    texts: list[str] = Field(
+        min_length=1,
+        description="The texts to insert",
+    )
+
+    @field_validator("texts", mode="after")
+    @classmethod
+    def strip_after(cls, texts: list[str]) -> list[str]:
+        return [text.strip() for text in texts]
 
 
 class InsertResponse(BaseModel):
-    status: str
+    status: str = Field(description="Status of the operation")
-    message: str
+    message: str = Field(description="Message describing the operation result")
 
 
 class DocStatusResponse(BaseModel):
@@ -720,33 +803,6 @@ class DocsStatusesResponse(BaseModel):
     statuses: Dict[DocStatus, List[DocStatusResponse]] = {}
 
 
-def QueryRequestToQueryParams(request: QueryRequest):
-    param = QueryParam(mode=request.mode, stream=request.stream)
-    if request.only_need_context is not None:
-        param.only_need_context = request.only_need_context
-    if request.only_need_prompt is not None:
-        param.only_need_prompt = request.only_need_prompt
-    if request.response_type is not None:
-        param.response_type = request.response_type
-    if request.top_k is not None:
-        param.top_k = request.top_k
-    if request.max_token_for_text_unit is not None:
-        param.max_token_for_text_unit = request.max_token_for_text_unit
-    if request.max_token_for_global_context is not None:
-        param.max_token_for_global_context = request.max_token_for_global_context
-    if request.max_token_for_local_context is not None:
-        param.max_token_for_local_context = request.max_token_for_local_context
-    if request.hl_keywords is not None:
-        param.hl_keywords = request.hl_keywords
-    if request.ll_keywords is not None:
-        param.ll_keywords = request.ll_keywords
-    if request.conversation_history is not None:
-        param.conversation_history = request.conversation_history
-    if request.history_turns is not None:
-        param.history_turns = request.history_turns
-    return param
-
-
 def get_api_key_dependency(api_key: Optional[str]):
     if not api_key:
         # If no API key is configured, return a dummy dependency that always succeeds
@@ -1525,6 +1581,37 @@ def create_app(args):
             logging.error(traceback.format_exc())
             raise HTTPException(status_code=500, detail=str(e))
 
+    @app.post(
+        "/documents/texts",
+        response_model=InsertResponse,
+        dependencies=[Depends(optional_api_key)],
+    )
+    async def insert_texts(
+        request: InsertTextsRequest, background_tasks: BackgroundTasks
+    ):
+        """
+        Insert texts into the Retrieval-Augmented Generation (RAG) system.
+
+        This endpoint allows you to insert text data into the RAG system for later retrieval and use in generating responses.
+
+        Args:
+            request (InsertTextsRequest): The request body containing the text to be inserted.
+            background_tasks: FastAPI BackgroundTasks for async processing
+
+        Returns:
+            InsertResponse: A response object containing the status of the operation, a message, and the number of documents inserted.
+        """
+        try:
+            background_tasks.add_task(pipeline_index_texts, request.texts)
+            return InsertResponse(
+                status="success",
+                message="Text successfully received. Processing will continue in background.",
+            )
+        except Exception as e:
+            logging.error(f"Error /documents/text: {str(e)}")
+            logging.error(traceback.format_exc())
+            raise HTTPException(status_code=500, detail=str(e))
+
     @app.post(
         "/documents/file",
         response_model=InsertResponse,
@@ -1569,7 +1656,7 @@ def create_app(args):
             raise HTTPException(status_code=500, detail=str(e))
 
     @app.post(
-        "/documents/batch",
+        "/documents/file_batch",
         response_model=InsertResponse,
         dependencies=[Depends(optional_api_key)],
     )
@@ -1673,20 +1760,14 @@ def create_app(args):
         """
         try:
             response = await rag.aquery(
-                request.query, param=QueryRequestToQueryParams(request)
+                request.query, param=request.to_query_params(False)
             )
 
             # If response is a string (e.g. cache hit), return directly
             if isinstance(response, str):
                 return QueryResponse(response=response)
 
-            # If it's an async generator, decide whether to stream based on stream parameter
+            if isinstance(response, dict):
-            if request.stream or hasattr(response, "__aiter__"):
-                result = ""
-                async for chunk in response:
-                    result += chunk
-                return QueryResponse(response=result)
-            elif isinstance(response, dict):
                 result = json.dumps(response, indent=2)
                 return QueryResponse(response=result)
             else:
@@ -1708,11 +1789,8 @@ def create_app(args):
             StreamingResponse: A streaming response containing the RAG query results.
         """
         try:
-            params = QueryRequestToQueryParams(request)
+            response = await rag.aquery(
-
+                request.query, param=request.to_query_params(True)
-            params.stream = True
-            response = await rag.aquery(  # Use aquery instead of query, and add await
-                request.query, param=params
             )
 
             from fastapi.responses import StreamingResponse
@@ -1738,7 +1816,7 @@ def create_app(args):
                     "Cache-Control": "no-cache",
                     "Connection": "keep-alive",
                     "Content-Type": "application/x-ndjson",
-                    "X-Accel-Buffering": "no",  # 确保在Nginx代理时正确处理流式响应
+                    "X-Accel-Buffering": "no",  # Ensure proper handling of streaming response when proxied by Nginx
                 },
             )
         except Exception as e:

lightrag/api/webui/index.html

@@ -5,8 +5,8 @@
     <link rel="icon" type="image/svg+xml" href="./vite.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Lightrag</title>
-    <script type="module" crossorigin src="./assets/index-BMB0OroL.js"></script>
+    <script type="module" crossorigin src="./assets/index-gr1CNi7P.js"></script>
-    <link rel="stylesheet" crossorigin href="./assets/index-CLgSwrjG.css">
+    <link rel="stylesheet" crossorigin href="./assets/index-Cq9iD15S.css">
   </head>
   <body>
     <div id="root"></div>

lightrag/base.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
-from enum import StrEnum
+from enum import Enum
 import os
 from dotenv import load_dotenv
 from dataclasses import dataclass, field
@@ -205,7 +205,7 @@ class BaseGraphStorage(StorageNameSpace, ABC):
         """Retrieve a subgraph of the knowledge graph starting from a given node."""
 
 
-class DocStatus(StrEnum):
+class DocStatus(str, Enum):
     """Document processing status"""
 
     PENDING = "pending"

lightrag/kg/neo4j_impl.py

@@ -296,14 +296,16 @@ class Neo4JStorage(BaseGraphStorage):
 
                 result = await session.run(query)
                 record = await result.single()
-                if record and "edge_properties" in record:
+                if record:
                     try:
                         result = dict(record["edge_properties"])
+                        logger.info(f"Result: {result}")
                         # Ensure required keys exist with defaults
                         required_keys = {
                             "weight": 0.0,
                             "source_id": None,
-                            "target_id": None,
+                            "description": None,
+                            "keywords": None,
                         }
                         for key, default_value in required_keys.items():
                             if key not in result:
@@ -323,20 +325,35 @@ class Neo4JStorage(BaseGraphStorage):
                             f"and {entity_name_label_target}: {str(e)}"
                         )
                         # Return default edge properties on error
-                        return {"weight": 0.0, "source_id": None, "target_id": None}
+                        return {
+                            "weight": 0.0,
+                            "description": None,
+                            "keywords": None,
+                            "source_id": None,
+                        }
 
                 logger.debug(
                     f"{inspect.currentframe().f_code.co_name}: No edge found between {entity_name_label_source} and {entity_name_label_target}"
                 )
                 # Return default edge properties when no edge found
-                return {"weight": 0.0, "source_id": None, "target_id": None}
+                return {
+                    "weight": 0.0,
+                    "description": None,
+                    "keywords": None,
+                    "source_id": None,
+                }
 
         except Exception as e:
             logger.error(
                 f"Error in get_edge between {source_node_id} and {target_node_id}: {str(e)}"
             )
             # Return default edge properties on error
-            return {"weight": 0.0, "source_id": None, "target_id": None}
+            return {
+                "weight": 0.0,
+                "description": None,
+                "keywords": None,
+                "source_id": None,
+            }
 
     async def get_node_edges(self, source_node_id: str) -> list[tuple[str, str]] | None:
         node_label = source_node_id.strip('"')

lightrag/lightrag.py

@@ -674,7 +674,7 @@ class LightRAG:
                 "content": content,
                 "content_summary": self._get_content_summary(content),
                 "content_length": len(content),
-                "status": DocStatus.PENDING.value,
+                "status": DocStatus.PENDING,
                 "created_at": datetime.now().isoformat(),
                 "updated_at": datetime.now().isoformat(),
             }
@@ -745,7 +745,7 @@ class LightRAG:
                 await self.doc_status.upsert(
                     {
                         doc_status_id: {
-                            "status": DocStatus.PROCESSING.value,
+                            "status": DocStatus.PROCESSING,
                             "updated_at": datetime.now().isoformat(),
                             "content": status_doc.content,
                             "content_summary": status_doc.content_summary,
@@ -782,7 +782,7 @@ class LightRAG:
                     await self.doc_status.upsert(
                         {
                             doc_status_id: {
-                                "status": DocStatus.PROCESSED.value,
+                                "status": DocStatus.PROCESSED,
                                 "chunks_count": len(chunks),
                                 "content": status_doc.content,
                                 "content_summary": status_doc.content_summary,
@@ -799,7 +799,7 @@ class LightRAG:
                     await self.doc_status.upsert(
                         {
                             doc_status_id: {
-                                "status": DocStatus.FAILED.value,
+                                "status": DocStatus.FAILED,
                                 "error": str(e),
                                 "content": status_doc.content,
                                 "content_summary": status_doc.content_summary,
@@ -984,7 +984,10 @@ class LightRAG:
                 await self._insert_done()
 
     def query(
-        self, query: str, param: QueryParam = QueryParam(), prompt: str | None = None
+        self,
+        query: str,
+        param: QueryParam = QueryParam(),
+        system_prompt: str | None = None,
     ) -> str | Iterator[str]:
         """
         Perform a sync query.
@@ -999,13 +1002,13 @@ class LightRAG:
         """
         loop = always_get_an_event_loop()
 
-        return loop.run_until_complete(self.aquery(query, param, prompt))  # type: ignore
+        return loop.run_until_complete(self.aquery(query, param, system_prompt))  # type: ignore
 
     async def aquery(
         self,
         query: str,
         param: QueryParam = QueryParam(),
-        prompt: str | None = None,
+        system_prompt: str | None = None,
     ) -> str | AsyncIterator[str]:
         """
         Perform a async query.
@@ -1037,7 +1040,7 @@ class LightRAG:
                     global_config=asdict(self),
                     embedding_func=self.embedding_func,
                 ),
-                prompt=prompt,
+                system_prompt=system_prompt,
             )
         elif param.mode == "naive":
             response = await naive_query(
@@ -1056,6 +1059,7 @@ class LightRAG:
                     global_config=asdict(self),
                     embedding_func=self.embedding_func,
                 ),
+                system_prompt=system_prompt,
             )
         elif param.mode == "mix":
             response = await mix_kg_vector_query(
@@ -1077,6 +1081,7 @@ class LightRAG:
                     global_config=asdict(self),
                     embedding_func=self.embedding_func,
                 ),
+                system_prompt=system_prompt,
             )
         else:
             raise ValueError(f"Unknown mode {param.mode}")

lightrag/operate.py

@@ -613,7 +613,7 @@ async def kg_query(
     query_param: QueryParam,
     global_config: dict[str, str],
     hashing_kv: BaseKVStorage | None = None,
-    prompt: str | None = None,
+    system_prompt: str | None = None,
 ) -> str:
     # Handle cache
     use_model_func = global_config["llm_model_func"]
@@ -677,7 +677,7 @@ async def kg_query(
             query_param.conversation_history, query_param.history_turns
         )
 
-    sys_prompt_temp = prompt if prompt else PROMPTS["rag_response"]
+    sys_prompt_temp = system_prompt if system_prompt else PROMPTS["rag_response"]
     sys_prompt = sys_prompt_temp.format(
         context_data=context,
         response_type=query_param.response_type,
@@ -828,6 +828,7 @@ async def mix_kg_vector_query(
     query_param: QueryParam,
     global_config: dict[str, str],
     hashing_kv: BaseKVStorage | None = None,
+    system_prompt: str | None = None,
 ) -> str | AsyncIterator[str]:
     """
     Hybrid retrieval implementation combining knowledge graph and vector search.
@@ -962,15 +963,19 @@ async def mix_kg_vector_query(
         return {"kg_context": kg_context, "vector_context": vector_context}
 
     # 5. Construct hybrid prompt
-    sys_prompt = PROMPTS["mix_rag_response"].format(
+    sys_prompt = (
-        kg_context=kg_context
+        system_prompt
-        if kg_context
+        if system_prompt
-        else "No relevant knowledge graph information found",
+        else PROMPTS["mix_rag_response"].format(
-        vector_context=vector_context
+            kg_context=kg_context
-        if vector_context
+            if kg_context
-        else "No relevant text information found",
+            else "No relevant knowledge graph information found",
-        response_type=query_param.response_type,
+            vector_context=vector_context
-        history=history_context,
+            if vector_context
+            else "No relevant text information found",
+            response_type=query_param.response_type,
+            history=history_context,
+        )
     )
 
     if query_param.only_need_prompt:
@@ -1599,6 +1604,7 @@ async def naive_query(
     query_param: QueryParam,
     global_config: dict[str, str],
     hashing_kv: BaseKVStorage | None = None,
+    system_prompt: str | None = None,
 ) -> str | AsyncIterator[str]:
     # Handle cache
     use_model_func = global_config["llm_model_func"]
@@ -1651,7 +1657,7 @@ async def naive_query(
             query_param.conversation_history, query_param.history_turns
         )
 
-    sys_prompt_temp = PROMPTS["naive_rag_response"]
+    sys_prompt_temp = system_prompt if system_prompt else PROMPTS["naive_rag_response"]
     sys_prompt = sys_prompt_temp.format(
         content_data=section,
         response_type=query_param.response_type,

lightrag_webui/bun.lock

@@ -39,7 +39,11 @@
         "react": "^19.0.0",
         "react-dom": "^19.0.0",
         "react-dropzone": "^14.3.5",
+        "react-markdown": "^9.0.3",
         "react-number-format": "^5.4.3",
+        "rehype-react": "^8.0.0",
+        "remark-gfm": "^4.0.1",
+        "remark-math": "^6.0.0",
         "seedrandom": "^3.0.5",
         "sigma": "^3.0.1",
         "sonner": "^1.7.4",
@@ -53,8 +57,8 @@
         "@tailwindcss/vite": "^4.0.6",
         "@types/bun": "^1.2.2",
         "@types/node": "^22.13.4",
-        "@types/react": "^19.0.8",
+        "@types/react": "^19.0.10",
-        "@types/react-dom": "^19.0.3",
+        "@types/react-dom": "^19.0.4",
         "@types/seedrandom": "^3.0.8",
         "@vitejs/plugin-react-swc": "^3.8.0",
         "eslint": "^9.20.1",
@@ -409,24 +413,38 @@
 
     "@types/bun": ["@types/bun@1.2.2", "", { "dependencies": { "bun-types": "1.2.2" } }, "sha512-tr74gdku+AEDN5ergNiBnplr7hpDp3V1h7fqI2GcR/rsUaM39jpSeKH0TFibRvU0KwniRx5POgaYnaXbk0hU+w=="],
 
+    "@types/debug": ["@types/debug@4.1.12", "", { "dependencies": { "@types/ms": "*" } }, "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ=="],
+
     "@types/estree": ["@types/estree@1.0.6", "", {}, "sha512-AYnb1nQyY49te+VRAVgmzfcgjYS91mY5P0TKUDCLEM+gNnA+3T6rWITXRLYCpahpqSQbN5cE+gHpnPyXjHWxcw=="],
 
+    "@types/estree-jsx": ["@types/estree-jsx@1.0.5", "", { "dependencies": { "@types/estree": "*" } }, "sha512-52CcUVNFyfb1A2ALocQw/Dd1BQFNmSdkuC3BkZ6iqhdMfQz7JWOFRuJFloOzjk+6WijU56m9oKXFAXc7o3Towg=="],
+
+    "@types/hast": ["@types/hast@3.0.4", "", { "dependencies": { "@types/unist": "*" } }, "sha512-WPs+bbQw5aCj+x6laNGWLH3wviHtoCv/P3+otBhbOhJgG8qtpdAMlTCxLtsTWA7LH1Oh/bFCHsBn0TPS5m30EQ=="],
+
     "@types/json-schema": ["@types/json-schema@7.0.15", "", {}, "sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA=="],
 
+    "@types/katex": ["@types/katex@0.16.7", "", {}, "sha512-HMwFiRujE5PjrgwHQ25+bsLJgowjGjm5Z8FVSf0N6PwgJrwxH0QxzHYDcKsTfV3wva0vzrpqMTJS2jXPr5BMEQ=="],
+
+    "@types/mdast": ["@types/mdast@4.0.4", "", { "dependencies": { "@types/unist": "*" } }, "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA=="],
+
+    "@types/ms": ["@types/ms@2.1.0", "", {}, "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA=="],
+
     "@types/node": ["@types/node@22.13.4", "", { "dependencies": { "undici-types": "~6.20.0" } }, "sha512-ywP2X0DYtX3y08eFVx5fNIw7/uIv8hYUKgXoK8oayJlLnKcRfEYCxWMVE1XagUdVtCJlZT1AU4LXEABW+L1Peg=="],
 
     "@types/parse-json": ["@types/parse-json@4.0.2", "", {}, "sha512-dISoDXWWQwUquiKsyZ4Ng+HX2KsPL7LyHKHQwgGFEA3IaKac4Obd+h2a/a6waisAoepJlBcx9paWqjA8/HVjCw=="],
 
     "@types/prismjs": ["@types/prismjs@1.26.5", "", {}, "sha512-AUZTa7hQ2KY5L7AmtSiqxlhWxb4ina0yd8hNbl4TWuqnv/pFP0nDMb3YrfSBf4hJVGLh2YEIBfKaBW/9UEl6IQ=="],
 
-    "@types/react": ["@types/react@19.0.8", "", { "dependencies": { "csstype": "^3.0.2" } }, "sha512-9P/o1IGdfmQxrujGbIMDyYaaCykhLKc0NGCtYcECNUr9UAaDe4gwvV9bR6tvd5Br1SG0j+PBpbKr2UYY8CwqSw=="],
+    "@types/react": ["@types/react@19.0.10", "", { "dependencies": { "csstype": "^3.0.2" } }, "sha512-JuRQ9KXLEjaUNjTWpzuR231Z2WpIwczOkBEIvbHNCzQefFIT0L8IqE6NV6ULLyC1SI/i234JnDoMkfg+RjQj2g=="],
 
-    "@types/react-dom": ["@types/react-dom@19.0.3", "", { "peerDependencies": { "@types/react": "^19.0.0" } }, "sha512-0Knk+HJiMP/qOZgMyNFamlIjw9OFCsyC2ZbigmEEyXXixgre6IQpm/4V+r3qH4GC1JPvRJKInw+on2rV6YZLeA=="],
+    "@types/react-dom": ["@types/react-dom@19.0.4", "", { "peerDependencies": { "@types/react": "^19.0.0" } }, "sha512-4fSQ8vWFkg+TGhePfUzVmat3eC14TXYSsiiDSLI0dVLsrm9gZFABjPy/Qu6TKgl1tq1Bu1yDsuQgY3A3DOjCcg=="],
 
     "@types/react-transition-group": ["@types/react-transition-group@4.4.12", "", { "peerDependencies": { "@types/react": "*" } }, "sha512-8TV6R3h2j7a91c+1DXdJi3Syo69zzIZbz7Lg5tORM5LEJG7X/E6a1V3drRyBRZq7/utz7A+c4OgYLiLcYGHG6w=="],
 
     "@types/seedrandom": ["@types/seedrandom@3.0.8", "", {}, "sha512-TY1eezMU2zH2ozQoAFAQFOPpvP15g+ZgSfTZt31AUUH/Rxtnz3H+A/Sv1Snw2/amp//omibc+AEkTaA8KUeOLQ=="],
 
+    "@types/unist": ["@types/unist@3.0.3", "", {}, "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q=="],
+
     "@types/ws": ["@types/ws@8.5.14", "", { "dependencies": { "@types/node": "*" } }, "sha512-bd/YFLW+URhBzMXurx7lWByOu+xzU9+kb3RboOteXYDfW+tr+JZa99OyNmPINEGB/ahzKrEuc8rcv4gnpJmxTw=="],
 
     "@typescript-eslint/eslint-plugin": ["@typescript-eslint/eslint-plugin@8.24.0", "", { "dependencies": { "@eslint-community/regexpp": "^4.10.0", "@typescript-eslint/scope-manager": "8.24.0", "@typescript-eslint/type-utils": "8.24.0", "@typescript-eslint/utils": "8.24.0", "@typescript-eslint/visitor-keys": "8.24.0", "graphemer": "^1.4.0", "ignore": "^5.3.1", "natural-compare": "^1.4.0", "ts-api-utils": "^2.0.1" }, "peerDependencies": { "@typescript-eslint/parser": "^8.0.0 || ^8.0.0-alpha.0", "eslint": "^8.57.0 || ^9.0.0", "typescript": ">=4.8.4 <5.8.0" } }, "sha512-aFcXEJJCI4gUdXgoo/j9udUYIHgF23MFkg09LFz2dzEmU0+1Plk4rQWv/IYKvPHAtlkkGoB3m5e6oUp+JPsNaQ=="],
@@ -445,6 +463,8 @@
 
     "@typescript-eslint/visitor-keys": ["@typescript-eslint/visitor-keys@8.24.0", "", { "dependencies": { "@typescript-eslint/types": "8.24.0", "eslint-visitor-keys": "^4.2.0" } }, "sha512-kArLq83QxGLbuHrTMoOEWO+l2MwsNS2TGISEdx8xgqpkbytB07XmlQyQdNDrCc1ecSqx0cnmhGvpX+VBwqqSkg=="],
 
+    "@ungap/structured-clone": ["@ungap/structured-clone@1.3.0", "", {}, "sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g=="],
+
     "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@3.8.0", "", { "dependencies": { "@swc/core": "^1.10.15" }, "peerDependencies": { "vite": "^4 || ^5 || ^6" } }, "sha512-T4sHPvS+DIqDP51ifPqa9XIRAz/kIvIi8oXcnOZZgHmMotgmmdxe/DD5tMFlt5nuIRzT0/QuiwmKlH0503Aapw=="],
 
     "@yomguithereal/helpers": ["@yomguithereal/helpers@1.1.1", "", {}, "sha512-UYvAq/XCA7xoh1juWDYsq3W0WywOB+pz8cgVnE1b45ZfdMhBvHDrgmSFG3jXeZSr2tMTYLGHFHON+ekG05Jebg=="],
@@ -487,6 +507,8 @@
 
     "babel-plugin-macros": ["babel-plugin-macros@3.1.0", "", { "dependencies": { "@babel/runtime": "^7.12.5", "cosmiconfig": "^7.0.0", "resolve": "^1.19.0" } }, "sha512-Cg7TFGpIr01vOQNODXOOaGz2NpCU5gl8x1qJFbb6hbZxR7XrcE2vtbAsTAbJ7/xwJtUuJEw8K8Zr/AE0LHlesg=="],
 
+    "bail": ["bail@2.0.2", "", {}, "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw=="],
+
     "balanced-match": ["balanced-match@1.0.2", "", {}, "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="],
 
     "brace-expansion": ["brace-expansion@1.1.11", "", { "dependencies": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" } }, "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA=="],
@@ -503,8 +525,18 @@
 
     "callsites": ["callsites@3.1.0", "", {}, "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ=="],
 
+    "ccount": ["ccount@2.0.1", "", {}, "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg=="],
+
     "chalk": ["chalk@4.1.2", "", { "dependencies": { "ansi-styles": "^4.1.0", "supports-color": "^7.1.0" } }, "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA=="],
 
+    "character-entities": ["character-entities@2.0.2", "", {}, "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ=="],
+
+    "character-entities-html4": ["character-entities-html4@2.1.0", "", {}, "sha512-1v7fgQRj6hnSwFpq1Eu0ynr/CDEw0rXo2B61qXrLNdHZmPKgb7fqS1a2JwF0rISo9q77jDI8VMEHoApn8qDoZA=="],
+
+    "character-entities-legacy": ["character-entities-legacy@3.0.0", "", {}, "sha512-RpPp0asT/6ufRm//AJVwpViZbGM/MkjQFxJccQRHmISF/22NBtsHqAWmL+/pmkPWoIUJdWyeVleTl1wydHATVQ=="],
+
+    "character-reference-invalid": ["character-reference-invalid@2.0.1", "", {}, "sha512-iBZ4F4wRbyORVsu0jPV7gXkOsGYjGHPmAyv+HiHG8gi5PtC9KI2j1+v8/tlibRvjoWX027ypmG/n0HtO5t7unw=="],
+
     "class-variance-authority": ["class-variance-authority@0.7.1", "", { "dependencies": { "clsx": "^2.1.1" } }, "sha512-Ka+9Trutv7G8M6WT6SeiRWz792K5qEqIGEGzXKhAE6xOWAY6pPH8U+9IY3oCMv6kqTmLsv7Xh/2w2RigkePMsg=="],
 
     "clsx": ["clsx@2.1.1", "", {}, "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA=="],
@@ -517,6 +549,10 @@
 
     "combined-stream": ["combined-stream@1.0.8", "", { "dependencies": { "delayed-stream": "~1.0.0" } }, "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg=="],
 
+    "comma-separated-tokens": ["comma-separated-tokens@2.0.3", "", {}, "sha512-Fu4hJdvzeylCfQPp9SGWidpzrMs7tTrlu6Vb8XGaRGck8QSNZJJp538Wrb60Lax4fPwR64ViY468OIUTbRlGZg=="],
+
+    "commander": ["commander@8.3.0", "", {}, "sha512-OkTL9umf+He2DZkUq8f8J9of7yL6RJKI24dVITBmNfZBmri9zYZQrKkuXiKhyfPSu8tUhnVBB1iKXevvnlR4Ww=="],
+
     "concat-map": ["concat-map@0.0.1", "", {}, "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg=="],
 
     "convert-source-map": ["convert-source-map@1.9.0", "", {}, "sha512-ASFBup0Mz1uyiIjANan1jzLQami9z1PoYSZCiiYW2FczPbenXc45FZdBZLzOT+r6+iciuEModtmCti+hjaAk0A=="],
@@ -535,6 +571,8 @@
 
     "debug": ["debug@4.4.0", "", { "dependencies": { "ms": "^2.1.3" } }, "sha512-6WTZ/IxCY/T6BALoZHaE4ctp9xm+Z5kY/pzYaCHRFeyVhojxlrm+46y68HA6hr0TcwEssoxNiDEUJQjfPZ/RYA=="],
 
+    "decode-named-character-reference": ["decode-named-character-reference@1.0.2", "", { "dependencies": { "character-entities": "^2.0.0" } }, "sha512-O8x12RzrUF8xyVcY0KJowWsmaJxQbmy0/EtnNtHRpsOcT7dFk5W598coHqBVpmWo1oQQfsCqfCmkZN5DJrZVdg=="],
+
     "deep-is": ["deep-is@0.1.4", "", {}, "sha512-oIPzksmTg4/MriiaYGO+okXDT7ztn/w3Eptv/+gSIdMdKsJo0u4CfYNFJPy+4SKMuCqGw2wxnA+URMg3t8a/bQ=="],
 
     "define-data-property": ["define-data-property@1.1.4", "", { "dependencies": { "es-define-property": "^1.0.0", "es-errors": "^1.3.0", "gopd": "^1.0.1" } }, "sha512-rBMvIzlpA8v6E+SJZoo++HAYqsLrkg7MSfIinMPFhmkorw7X+dOXVJQs+QT69zGkzMyfDnIMN2Wid1+NbL3T+A=="],
@@ -543,10 +581,14 @@
 
     "delayed-stream": ["delayed-stream@1.0.0", "", {}, "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ=="],
 
+    "dequal": ["dequal@2.0.3", "", {}, "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA=="],
+
     "detect-libc": ["detect-libc@1.0.3", "", { "bin": { "detect-libc": "./bin/detect-libc.js" } }, "sha512-pGjwhsmsp4kL2RTz08wcOlGN83otlqHeD/Z5T8GXZB+/YcpQ/dgo+lbU8ZsGxV0HIvqqxo9l7mqYwyYMD9bKDg=="],
 
     "detect-node-es": ["detect-node-es@1.1.0", "", {}, "sha512-ypdmJU/TbBby2Dxibuv7ZLW3Bs1QEmM7nHjEANfohJLvE0XVujisn1qPJcZxg+qDucsr+bP6fLD1rPS3AhJ7EQ=="],
 
+    "devlop": ["devlop@1.1.0", "", { "dependencies": { "dequal": "^2.0.0" } }, "sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA=="],
+
     "doctrine": ["doctrine@2.1.0", "", { "dependencies": { "esutils": "^2.0.2" } }, "sha512-35mSku4ZXK0vfCuHEDAwt55dg2jNajHZ1odvF+8SSr82EsZY4QmXfuWso8oEd8zRhVObSN18aM0CjSdoBX7zIw=="],
 
     "dom-helpers": ["dom-helpers@5.2.1", "", { "dependencies": { "@babel/runtime": "^7.8.7", "csstype": "^3.0.2" } }, "sha512-nRCa7CK3VTrM2NmGkIy4cbK7IZlgBE/PYMn55rrXefr5xXDP0LdtfPnblFDoVdcAfslJ7or6iqAUnx0CCGIWQA=="],
@@ -599,10 +641,14 @@
 
     "estraverse": ["estraverse@5.3.0", "", {}, "sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA=="],
 
+    "estree-util-is-identifier-name": ["estree-util-is-identifier-name@3.0.0", "", {}, "sha512-hFtqIDZTIUZ9BXLb8y4pYGyk6+wekIivNVTcmvk8NoOh+VeRn5y6cEHzbURrWbfp1fIqdVipilzj+lfaadNZmg=="],
+
     "esutils": ["esutils@2.0.3", "", {}, "sha512-kVscqXk4OCp68SZ0dkgEKVi6/8ij300KBWTJq32P/dYeWTSwK41WyTxalN1eRmA5Z9UU/LX9D7FWSmV9SAYx6g=="],
 
     "events": ["events@3.3.0", "", {}, "sha512-mQw+2fkQbALzQ7V0MY0IqdnXNOeTtP4r0lN9z7AAawCXgqea7bDii20AYrIBrFd/Hx0M2Ocz6S111CaFkUcb0Q=="],
 
+    "extend": ["extend@3.0.2", "", {}, "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="],
+
     "fast-deep-equal": ["fast-deep-equal@3.1.3", "", {}, "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q=="],
 
     "fast-glob": ["fast-glob@3.3.3", "", { "dependencies": { "@nodelib/fs.stat": "^2.0.2", "@nodelib/fs.walk": "^1.2.3", "glob-parent": "^5.1.2", "merge2": "^1.3.0", "micromatch": "^4.0.8" } }, "sha512-7MptL8U0cqcFdzIzwOTHoilX9x5BrNqye7Z/LuC7kCMRio1EMSyqRK3BEAUD7sXRq4iT4AzTVuZdhgQ2TCvYLg=="],
@@ -697,16 +743,28 @@
 
     "hasown": ["hasown@2.0.2", "", { "dependencies": { "function-bind": "^1.1.2" } }, "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ=="],
 
+    "hast-util-to-jsx-runtime": ["hast-util-to-jsx-runtime@2.3.2", "", { "dependencies": { "@types/estree": "^1.0.0", "@types/hast": "^3.0.0", "@types/unist": "^3.0.0", "comma-separated-tokens": "^2.0.0", "devlop": "^1.0.0", "estree-util-is-identifier-name": "^3.0.0", "hast-util-whitespace": "^3.0.0", "mdast-util-mdx-expression": "^2.0.0", "mdast-util-mdx-jsx": "^3.0.0", "mdast-util-mdxjs-esm": "^2.0.0", "property-information": "^6.0.0", "space-separated-tokens": "^2.0.0", "style-to-object": "^1.0.0", "unist-util-position": "^5.0.0", "vfile-message": "^4.0.0" } }, "sha512-1ngXYb+V9UT5h+PxNRa1O1FYguZK/XL+gkeqvp7EdHlB9oHUG0eYRo/vY5inBdcqo3RkPMC58/H94HvkbfGdyg=="],
+
+    "hast-util-whitespace": ["hast-util-whitespace@3.0.0", "", { "dependencies": { "@types/hast": "^3.0.0" } }, "sha512-88JUN06ipLwsnv+dVn+OIYOvAuvBMy/Qoi6O7mQHxdPXpjy+Cd6xRkWwux7DKO+4sYILtLBRIKgsdpS2gQc7qw=="],
+
     "hoist-non-react-statics": ["hoist-non-react-statics@3.3.2", "", { "dependencies": { "react-is": "^16.7.0" } }, "sha512-/gGivxi8JPKWNm/W0jSmzcMPpfpPLc3dY/6GxhX2hQ9iGj3aDfklV4ET7NjKpSinLpJ5vafa9iiGIEZg10SfBw=="],
 
+    "html-url-attributes": ["html-url-attributes@3.0.1", "", {}, "sha512-ol6UPyBWqsrO6EJySPz2O7ZSr856WDrEzM5zMqp+FJJLGMW35cLYmmZnl0vztAZxRUoNZJFTCohfjuIJ8I4QBQ=="],
+
     "ignore": ["ignore@5.3.2", "", {}, "sha512-hsBTNUqQTDwkWtcdYI2i06Y/nUBEsNEDJKjWdigLvegy8kDuJAS8uRlpkkcQpyEXL0Z/pjDy5HBmMjRCJ2gq+g=="],
 
     "import-fresh": ["import-fresh@3.3.1", "", { "dependencies": { "parent-module": "^1.0.0", "resolve-from": "^4.0.0" } }, "sha512-TR3KfrTZTYLPB6jUjfx6MF9WcWrHL9su5TObK4ZkYgBdWKPOFoSoQIdEuTuR82pmtxH2spWG9h6etwfr1pLBqQ=="],
 
     "imurmurhash": ["imurmurhash@0.1.4", "", {}, "sha512-JmXMZ6wuvDmLiHEml9ykzqO6lwFbof0GG4IkcGaENdCRDDmMVnny7s5HsIgHCbaq0w2MyPhDqkhTUgS2LU2PHA=="],
 
+    "inline-style-parser": ["inline-style-parser@0.2.4", "", {}, "sha512-0aO8FkhNZlj/ZIbNi7Lxxr12obT7cL1moPfE4tg1LkX7LlLfC6DeX4l2ZEud1ukP9jNQyNnfzQVqwbwmAATY4Q=="],
+
     "internal-slot": ["internal-slot@1.1.0", "", { "dependencies": { "es-errors": "^1.3.0", "hasown": "^2.0.2", "side-channel": "^1.1.0" } }, "sha512-4gd7VpWNQNB4UKKCFFVcp1AVv+FMOgs9NKzjHKusc8jTMhd5eL1NqQqOpE0KzMds804/yHlglp3uxgluOqAPLw=="],
 
+    "is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="],
+
+    "is-alphanumerical": ["is-alphanumerical@2.0.1", "", { "dependencies": { "is-alphabetical": "^2.0.0", "is-decimal": "^2.0.0" } }, "sha512-hmbYhX/9MUMF5uh7tOXyK/n0ZvWpad5caBA17GsC6vyuCqaWliRG5K1qS9inmUhEMaOBIW7/whAnSwveW/LtZw=="],
+
     "is-array-buffer": ["is-array-buffer@3.0.5", "", { "dependencies": { "call-bind": "^1.0.8", "call-bound": "^1.0.3", "get-intrinsic": "^1.2.6" } }, "sha512-DDfANUiiG2wC1qawP66qlTugJeL5HyzMpfr8lLK+jMQirGzNod0B12cFB/9q838Ru27sBwfw78/rdoU7RERz6A=="],
 
     "is-arrayish": ["is-arrayish@0.2.1", "", {}, "sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg=="],
@@ -725,6 +783,8 @@
 
     "is-date-object": ["is-date-object@1.1.0", "", { "dependencies": { "call-bound": "^1.0.2", "has-tostringtag": "^1.0.2" } }, "sha512-PwwhEakHVKTdRNVOw+/Gyh0+MzlCl4R6qKvkhuvLtPMggI1WAHt9sOwZxQLSGpUaDnrdyDsomoRgNnCfKNSXXg=="],
 
+    "is-decimal": ["is-decimal@2.0.1", "", {}, "sha512-AAB9hiomQs5DXWcRB1rqsxGUstbRroFOPPVAomNk/3XHR5JyEZChOyTWe2oayKnsSsr/kcGqF+z6yuH6HHpN0A=="],
+
     "is-extglob": ["is-extglob@2.1.1", "", {}, "sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ=="],
 
     "is-finalizationregistry": ["is-finalizationregistry@1.1.1", "", { "dependencies": { "call-bound": "^1.0.3" } }, "sha512-1pC6N8qWJbWoPtEjgcL2xyhQOP491EQjeUo3qTKcmV8YSDDJrOepfG8pcC7h/QgnQHYSv0mJ3Z/ZWxmatVrysg=="],
@@ -733,12 +793,16 @@
 
     "is-glob": ["is-glob@4.0.3", "", { "dependencies": { "is-extglob": "^2.1.1" } }, "sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg=="],
 
+    "is-hexadecimal": ["is-hexadecimal@2.0.1", "", {}, "sha512-DgZQp241c8oO6cA1SbTEWiXeoxV42vlcJxgH+B3hi1AiqqKruZR3ZGF8In3fj4+/y/7rHvlOZLZtgJ/4ttYGZg=="],
+
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     "is-number": ["is-number@7.0.0", "", {}, "sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng=="],
 
     "is-number-object": ["is-number-object@1.1.1", "", { "dependencies": { "call-bound": "^1.0.3", "has-tostringtag": "^1.0.2" } }, "sha512-lZhclumE1G6VYD8VHe35wFaIif+CTy5SJIi5+3y4psDgWu4wPDoBhF8NxUOinEc7pHgiTsT6MaBb92rKhhD+Xw=="],
 
+    "is-plain-obj": ["is-plain-obj@4.1.0", "", {}, "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg=="],
+
     "is-regex": ["is-regex@1.2.1", "", { "dependencies": { "call-bound": "^1.0.2", "gopd": "^1.2.0", "has-tostringtag": "^1.0.2", "hasown": "^2.0.2" } }, "sha512-MjYsKHO5O7mCsmRGxWcLWheFqN9DJ/2TmngvjKXihe6efViPqc274+Fx/4fYj/r03+ESvBdTXK0V6tA3rgez1g=="],
 
     "is-set": ["is-set@2.0.3", "", {}, "sha512-iPAjerrse27/ygGLxw+EBR9agv9Y6uLeYVJMu+QNCoouJ1/1ri0mGrcWpfCqFZuzzx3WjtwxG098X+n4OuRkPg=="],
@@ -781,6 +845,8 @@
 
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+    "katex": ["katex@0.16.21", "", { "dependencies": { "commander": "^8.3.0" }, "bin": { "katex": "cli.js" } }, "sha512-XvqR7FgOHtWupfMiigNzmh+MgUVmDGU2kXZm899ZkPfcuoPuFxyHmXsgATDpFZDAXCI8tvinaVcDo8PIIJSo4A=="],
+
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     "levn": ["levn@0.4.1", "", { "dependencies": { "prelude-ls": "^1.2.1", "type-check": "~0.4.0" } }, "sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ=="],
@@ -813,16 +879,110 @@
 
     "lodash.merge": ["lodash.merge@4.6.2", "", {}, "sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ=="],
 
+    "longest-streak": ["longest-streak@3.1.0", "", {}, "sha512-9Ri+o0JYgehTaVBBDoMqIl8GXtbWg711O3srftcHhZ0dqnETqLaoIK0x17fUw9rFSlK/0NlsKe0Ahhyl5pXE2g=="],
+
     "loose-envify": ["loose-envify@1.4.0", "", { "dependencies": { "js-tokens": "^3.0.0 || ^4.0.0" }, "bin": { "loose-envify": "cli.js" } }, "sha512-lyuxPGr/Wfhrlem2CL/UcnUc1zcqKAImBDzukY7Y5F/yQiNdko6+fRLevlw1HgMySw7f611UIY408EtxRSoK3Q=="],
 
     "lucide-react": ["lucide-react@0.475.0", "", { "peerDependencies": { "react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-NJzvVu1HwFVeZ+Gwq2q00KygM1aBhy/ZrhY9FsAgJtpB+E4R7uxRk9M2iKvHa6/vNxZydIB59htha4c2vvwvVg=="],
 
+    "markdown-table": ["markdown-table@3.0.4", "", {}, "sha512-wiYz4+JrLyb/DqW2hkFJxP7Vd7JuTDm77fvbM8VfEQdmSMqcImWeeRbHwZjBjIFki/VaMK2BhFi7oUUZeM5bqw=="],
+
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+    "micromark-util-decode-string": ["micromark-util-decode-string@2.0.1", "", { "dependencies": { "decode-named-character-reference": "^1.0.0", "micromark-util-character": "^2.0.0", "micromark-util-decode-numeric-character-reference": "^2.0.0", "micromark-util-symbol": "^2.0.0" } }, "sha512-nDV/77Fj6eH1ynwscYTOsbK7rR//Uj0bZXBwJZRfaLEJ1iGBR6kIfNmlNqaqJf649EP0F3NWNdeJi03elllNUQ=="],
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+    "micromark-util-encode": ["micromark-util-encode@2.0.1", "", {}, "sha512-c3cVx2y4KqUnwopcO9b/SCdo2O67LwJJ/UyqGfbigahfegL9myoEFoDYZgkT7f36T0bLrM9hZTAaAyH+PCAXjw=="],
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+    "micromark-util-html-tag-name": ["micromark-util-html-tag-name@2.0.1", "", {}, "sha512-2cNEiYDhCWKI+Gs9T0Tiysk136SnR13hhO8yW6BGNyhOC4qYFnwF1nKfD3HFAIXA5c45RrIG1ub11GiXeYd1xA=="],
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+    "micromark-util-normalize-identifier": ["micromark-util-normalize-identifier@2.0.1", "", { "dependencies": { "micromark-util-symbol": "^2.0.0" } }, "sha512-sxPqmo70LyARJs0w2UclACPUUEqltCkJ6PhKdMIDuJ3gSf/Q+/GIe3WKl0Ijb/GyH9lOpUkRAO2wp0GVkLvS9Q=="],
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+
+    "micromark-util-sanitize-uri": ["micromark-util-sanitize-uri@2.0.1", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-encode": "^2.0.0", "micromark-util-symbol": "^2.0.0" } }, "sha512-9N9IomZ/YuGGZZmQec1MbgxtlgougxTodVwDzzEouPKo3qFWvymFHWcnDi2vzV1ff6kas9ucW+o3yzJK9YB1AQ=="],
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+    "micromark-util-subtokenize": ["micromark-util-subtokenize@2.0.4", "", { "dependencies": { "devlop": "^1.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-N6hXjrin2GTJDe3MVjf5FuXpm12PGm80BrUAeub9XFXca8JZbP+oIwY4LJSVwFUCL1IPm/WwSVUN7goFHmSGGQ=="],
+
+    "micromark-util-symbol": ["micromark-util-symbol@2.0.1", "", {}, "sha512-vs5t8Apaud9N28kgCrRUdEed4UJ+wWNvicHLPxCa9ENlYuAY31M0ETy5y1vA33YoNPDFTghEbnh6efaE8h4x0Q=="],
+
+    "micromark-util-types": ["micromark-util-types@2.0.1", "", {}, "sha512-534m2WhVTddrcKVepwmVEVnUAmtrx9bfIjNoQHRqfnvdaHQiFytEhJoTgpWJvDEXCO5gLTQh3wYC1PgOJA4NSQ=="],
+
     "micromatch": ["micromatch@4.0.8", "", { "dependencies": { "braces": "^3.0.3", "picomatch": "^2.3.1" } }, "sha512-PXwfBhYu0hBCPw8Dn0E+WDYb7af3dSLVWKi3HGv84IdF4TyFoC0ysxFd0Goxw7nSv4T/PzEJQxsYsEiFCKo2BA=="],
 
     "mime-db": ["mime-db@1.52.0", "", {}, "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg=="],
@@ -869,6 +1029,8 @@
 
     "parent-module": ["parent-module@1.0.1", "", { "dependencies": { "callsites": "^3.0.0" } }, "sha512-GQ2EWRpQV8/o+Aw8YqtfZZPfNRWZYkbidE9k5rpl/hC3vtHHBfGm2Ifi6qWV+coDGkrUKZAxE3Lot5kcsRlh+g=="],
 
+    "parse-entities": ["parse-entities@4.0.2", "", { "dependencies": { "@types/unist": "^2.0.0", "character-entities-legacy": "^3.0.0", "character-reference-invalid": "^2.0.0", "decode-named-character-reference": "^1.0.0", "is-alphanumerical": "^2.0.0", "is-decimal": "^2.0.0", "is-hexadecimal": "^2.0.0" } }, "sha512-GG2AQYWoLgL877gQIKeRPGO1xF9+eG1ujIb5soS5gPvLQ1y2o8FL90w2QWNdf9I361Mpp7726c+lj3U0qK1uGw=="],
+
     "parse-json": ["parse-json@5.2.0", "", { "dependencies": { "@babel/code-frame": "^7.0.0", "error-ex": "^1.3.1", "json-parse-even-better-errors": "^2.3.0", "lines-and-columns": "^1.1.6" } }, "sha512-ayCKvm/phCGxOkYRSCM82iDwct8/EonSEgCSxWxD7ve6jHggsFl4fZVQBPRNgQoKiuV/odhFrGzQXZwbifC8Rg=="],
 
     "path-exists": ["path-exists@4.0.0", "", {}, "sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w=="],
@@ -897,6 +1059,8 @@
 
     "prop-types": ["prop-types@15.8.1", "", { "dependencies": { "loose-envify": "^1.4.0", "object-assign": "^4.1.1", "react-is": "^16.13.1" } }, "sha512-oj87CgZICdulUohogVAR7AjlC0327U4el4L6eAvOqCeudMDVU0NThNaV+b9Df4dXgSP1gXMTnPdhfe/2qDH5cg=="],
 
+    "property-information": ["property-information@6.5.0", "", {}, "sha512-PgTgs/BlvHxOu8QuEN7wi5A0OmXaBcHpmCSTehcs6Uuu9IkDIEo13Hy7n898RHfrQ49vKCoGeWZSaAK01nwVig=="],
+
     "proxy-from-env": ["proxy-from-env@1.1.0", "", {}, "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="],
 
     "punycode": ["punycode@2.3.1", "", {}, "sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg=="],
@@ -911,6 +1075,8 @@
 
     "react-is": ["react-is@16.13.1", "", {}, "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="],
 
+    "react-markdown": ["react-markdown@9.0.3", "", { "dependencies": { "@types/hast": "^3.0.0", "devlop": "^1.0.0", "hast-util-to-jsx-runtime": "^2.0.0", "html-url-attributes": "^3.0.0", "mdast-util-to-hast": "^13.0.0", "remark-parse": "^11.0.0", "remark-rehype": "^11.0.0", "unified": "^11.0.0", "unist-util-visit": "^5.0.0", "vfile": "^6.0.0" }, "peerDependencies": { "@types/react": ">=18", "react": ">=18" } }, "sha512-Yk7Z94dbgYTOrdk41Z74GoKA7rThnsbbqBTRYuxoe08qvfQ9tJVhmAKw6BJS/ZORG7kTy/s1QvYzSuaoBA1qfw=="],
+
     "react-number-format": ["react-number-format@5.4.3", "", { "peerDependencies": { "react": "^0.14 || ^15.0.0 || ^16.0.0 || ^17.0.0 || ^18.0.0 || ^19.0.0", "react-dom": "^0.14 || ^15.0.0 || ^16.0.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-VCY5hFg/soBighAoGcdE+GagkJq0230qN6jcS5sp8wQX1qy1fYN/RX7/BXkrs0oyzzwqR8/+eSUrqXbGeywdUQ=="],
 
     "react-remove-scroll": ["react-remove-scroll@2.6.3", "", { "dependencies": { "react-remove-scroll-bar": "^2.3.7", "react-style-singleton": "^2.2.3", "tslib": "^2.1.0", "use-callback-ref": "^1.3.3", "use-sidecar": "^1.1.3" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-pnAi91oOk8g8ABQKGF5/M9qxmmOPxaAnopyTHYfqYEwJhyFrbbBtHuSgtKEoH0jpcxx5o3hXqH1mNd9/Oi+8iQ=="],
@@ -929,6 +1095,18 @@
 
     "regexp.prototype.flags": ["regexp.prototype.flags@1.5.4", "", { "dependencies": { "call-bind": "^1.0.8", "define-properties": "^1.2.1", "es-errors": "^1.3.0", "get-proto": "^1.0.1", "gopd": "^1.2.0", "set-function-name": "^2.0.2" } }, "sha512-dYqgNSZbDwkaJ2ceRd9ojCGjBq+mOm9LmtXnAnEGyHhN/5R7iDW2TRw3h+o/jCFxus3P2LfWIIiwowAjANm7IA=="],
 
+    "rehype-react": ["rehype-react@8.0.0", "", { "dependencies": { "@types/hast": "^3.0.0", "hast-util-to-jsx-runtime": "^2.0.0", "unified": "^11.0.0" } }, "sha512-vzo0YxYbB2HE+36+9HWXVdxNoNDubx63r5LBzpxBGVWM8s9mdnMdbmuJBAX6TTyuGdZjZix6qU3GcSuKCIWivw=="],
+
+    "remark-gfm": ["remark-gfm@4.0.1", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-gfm": "^3.0.0", "micromark-extension-gfm": "^3.0.0", "remark-parse": "^11.0.0", "remark-stringify": "^11.0.0", "unified": "^11.0.0" } }, "sha512-1quofZ2RQ9EWdeN34S79+KExV1764+wCUGop5CPL1WGdD0ocPpu91lzPGbwWMECpEpd42kJGQwzRfyov9j4yNg=="],
+
+    "remark-math": ["remark-math@6.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-math": "^3.0.0", "micromark-extension-math": "^3.0.0", "unified": "^11.0.0" } }, "sha512-MMqgnP74Igy+S3WwnhQ7kqGlEerTETXMvJhrUzDikVZ2/uogJCb+WHUg97hK9/jcfc0dkD73s3LN8zU49cTEtA=="],
+
+    "remark-parse": ["remark-parse@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-from-markdown": "^2.0.0", "micromark-util-types": "^2.0.0", "unified": "^11.0.0" } }, "sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA=="],
+
+    "remark-rehype": ["remark-rehype@11.1.1", "", { "dependencies": { "@types/hast": "^3.0.0", "@types/mdast": "^4.0.0", "mdast-util-to-hast": "^13.0.0", "unified": "^11.0.0", "vfile": "^6.0.0" } }, "sha512-g/osARvjkBXb6Wo0XvAeXQohVta8i84ACbenPpoSsxTOQH/Ae0/RGP4WZgnMH5pMLpsj4FG7OHmcIcXxpza8eQ=="],
+
+    "remark-stringify": ["remark-stringify@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-to-markdown": "^2.0.0", "unified": "^11.0.0" } }, "sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw=="],
+
     "resolve": ["resolve@2.0.0-next.5", "", { "dependencies": { "is-core-module": "^2.13.0", "path-parse": "^1.0.7", "supports-preserve-symlinks-flag": "^1.0.0" }, "bin": { "resolve": "bin/resolve" } }, "sha512-U7WjGVG9sH8tvjW5SmGbQuui75FiyjAX72HX15DwBBwF9dNiQZRQAg9nnPhYy+TUnE0+VcrttuvNI8oSxZcocA=="],
 
     "resolve-from": ["resolve-from@4.0.0", "", {}, "sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g=="],
@@ -977,6 +1155,8 @@
 
     "source-map-js": ["source-map-js@1.2.1", "", {}, "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA=="],
 
+    "space-separated-tokens": ["space-separated-tokens@2.0.2", "", {}, "sha512-PEGlAwrG8yXGXRjW32fGbg66JAlOAwbObuqVoJpv/mRgoWDQfgH1wDPvtzWyUSNAXBGSk8h755YDbbcEy3SH2Q=="],
+
     "string.prototype.matchall": ["string.prototype.matchall@4.0.12", "", { "dependencies": { "call-bind": "^1.0.8", "call-bound": "^1.0.3", "define-properties": "^1.2.1", "es-abstract": "^1.23.6", "es-errors": "^1.3.0", "es-object-atoms": "^1.0.0", "get-intrinsic": "^1.2.6", "gopd": "^1.2.0", "has-symbols": "^1.1.0", "internal-slot": "^1.1.0", "regexp.prototype.flags": "^1.5.3", "set-function-name": "^2.0.2", "side-channel": "^1.1.0" } }, "sha512-6CC9uyBL+/48dYizRf7H7VAYCMCNTBeM78x/VTUe9bFEaxBepPJDa1Ow99LqI/1yF7kuy7Q3cQsYMrcjGUcskA=="],
 
     "string.prototype.repeat": ["string.prototype.repeat@1.0.0", "", { "dependencies": { "define-properties": "^1.1.3", "es-abstract": "^1.17.5" } }, "sha512-0u/TldDbKD8bFCQ/4f5+mNRrXwZ8hg2w7ZR8wa16e8z9XpePWl3eGEcUD0OXpEH/VJH/2G3gjUtR3ZOiBe2S/w=="],
@@ -987,8 +1167,12 @@
 
     "string.prototype.trimstart": ["string.prototype.trimstart@1.0.8", "", { "dependencies": { "call-bind": "^1.0.7", "define-properties": "^1.2.1", "es-object-atoms": "^1.0.0" } }, "sha512-UXSH262CSZY1tfu3G3Secr6uGLCFVPMhIqHjlgCUtCCcgihYc/xKs9djMTMUOb2j1mVSeU8EU6NWc/iQKU6Gfg=="],
 
+    "stringify-entities": ["stringify-entities@4.0.4", "", { "dependencies": { "character-entities-html4": "^2.0.0", "character-entities-legacy": "^3.0.0" } }, "sha512-IwfBptatlO+QCJUo19AqvrPNqlVMpW9YEL2LIVY+Rpv2qsjCGxaDLNRgeGsQWJhfItebuJhsGSLjaBbNSQ+ieg=="],
+
     "strip-json-comments": ["strip-json-comments@3.1.1", "", {}, "sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig=="],
 
+    "style-to-object": ["style-to-object@1.0.8", "", { "dependencies": { "inline-style-parser": "0.2.4" } }, "sha512-xT47I/Eo0rwJmaXC4oilDGDWLohVhR6o/xAQcPQN8q6QBuZVL8qMYL85kLmST5cPjAorwvqIA4qXTRQoYHaL6g=="],
+
     "stylis": ["stylis@4.2.0", "", {}, "sha512-Orov6g6BB1sDfYgzWfTHDOxamtX1bE/zo104Dh9e6fqJ3PooipYyfJ0pUmrZO2wAvO8YbEyeFrkV91XTsGMSrw=="],
 
     "supports-color": ["supports-color@7.2.0", "", { "dependencies": { "has-flag": "^4.0.0" } }, "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw=="],
@@ -1007,6 +1191,10 @@
 
     "to-regex-range": ["to-regex-range@5.0.1", "", { "dependencies": { "is-number": "^7.0.0" } }, "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ=="],
 
+    "trim-lines": ["trim-lines@3.0.1", "", {}, "sha512-kRj8B+YHZCc9kQYdWfJB2/oUl9rA99qbowYYBtr4ui4mZyAQ2JpvVBd/6U2YloATfqBhBTSMhTpgBHtU0Mf3Rg=="],
+
+    "trough": ["trough@2.2.0", "", {}, "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw=="],
+
     "ts-api-utils": ["ts-api-utils@2.0.1", "", { "peerDependencies": { "typescript": ">=4.8.4" } }, "sha512-dnlgjFSVetynI8nzgJ+qF62efpglpWRk8isUEWZGWlJYySCTD6aKvbUDu+zbPeDakk3bg5H4XpitHukgfL1m9w=="],
 
     "tslib": ["tslib@2.8.1", "", {}, "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="],
@@ -1029,6 +1217,20 @@
 
     "undici-types": ["undici-types@6.20.0", "", {}, "sha512-Ny6QZ2Nju20vw1SRHe3d9jVu6gJ+4e3+MMpqu7pqE5HT6WsTSlce++GQmK5UXS8mzV8DSYHrQH+Xrf2jVcuKNg=="],
 
+    "unified": ["unified@11.0.5", "", { "dependencies": { "@types/unist": "^3.0.0", "bail": "^2.0.0", "devlop": "^1.0.0", "extend": "^3.0.0", "is-plain-obj": "^4.0.0", "trough": "^2.0.0", "vfile": "^6.0.0" } }, "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA=="],
+
+    "unist-util-is": ["unist-util-is@6.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-2qCTHimwdxLfz+YzdGfkqNlH0tLi9xjTnHddPmJwtIG9MGsdbutfTc4P+haPD7l7Cjxf/WZj+we5qfVPvvxfYw=="],
+
+    "unist-util-position": ["unist-util-position@5.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-fucsC7HjXvkB5R3kTCO7kUjRdrS0BJt3M/FPxmHMBOm8JQi2BsHAHFsy27E0EolP8rp0NzXsJ+jNPyDWvOJZPA=="],
+
+    "unist-util-remove-position": ["unist-util-remove-position@5.0.0", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-visit": "^5.0.0" } }, "sha512-Hp5Kh3wLxv0PHj9m2yZhhLt58KzPtEYKQQ4yxfYFEO7EvHwzyDYnduhHnY1mDxoqr7VUwVuHXk9RXKIiYS1N8Q=="],
+
+    "unist-util-stringify-position": ["unist-util-stringify-position@4.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ=="],
+
+    "unist-util-visit": ["unist-util-visit@5.0.0", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0", "unist-util-visit-parents": "^6.0.0" } }, "sha512-MR04uvD+07cwl/yhVuVWAtw+3GOR/knlL55Nd/wAdblk27GCVt3lqpTivy/tkJcZoNPzTwS1Y+KMojlLDhoTzg=="],
+
+    "unist-util-visit-parents": ["unist-util-visit-parents@6.0.1", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0" } }, "sha512-L/PqWzfTP9lzzEa6CKs0k2nARxTdZduw3zyh8d2NVBnsyvHjSX4TWse388YrrQKbvI8w20fGjGlhgT96WwKykw=="],
+
     "uri-js": ["uri-js@4.4.1", "", { "dependencies": { "punycode": "^2.1.0" } }, "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg=="],
 
     "use-callback-ref": ["use-callback-ref@1.3.3", "", { "dependencies": { "tslib": "^2.0.0" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" }, "optionalPeers": ["@types/react"] }, "sha512-jQL3lRnocaFtu3V00JToYz/4QkNWswxijDaCVNZRiRTO3HQDLsdu1ZtmIUvV4yPp+rvWm5j0y0TG/S61cuijTg=="],
@@ -1039,6 +1241,10 @@
 
     "use-sync-external-store": ["use-sync-external-store@1.4.0", "", { "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-9WXSPC5fMv61vaupRkCKCxsPxBocVnwakBEkMIHHpkTTg6icbJtg6jzgtLDm4bl3cSHAca52rYWih0k4K3PfHw=="],
 
+    "vfile": ["vfile@6.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "vfile-message": "^4.0.0" } }, "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q=="],
+
+    "vfile-message": ["vfile-message@4.0.2", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-stringify-position": "^4.0.0" } }, "sha512-jRDZ1IMLttGj41KcZvlrYAaI3CfqpLpfpf+Mfig13viT6NKvRzWZ+lXz0Y5D60w6uJIBAOGq9mSHf0gktF0duw=="],
+
     "vite": ["vite@6.1.0", "", { "dependencies": { "esbuild": "^0.24.2", "postcss": "^8.5.1", "rollup": "^4.30.1" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0", "jiti": ">=1.21.0", "less": "*", "lightningcss": "^1.21.0", "sass": "*", "sass-embedded": "*", "stylus": "*", "sugarss": "*", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-RjjMipCKVoR4hVfPY6GQTgveinjNuyLw+qruksLDvA5ktI1150VmcMBKmQaEWJhg/j6Uaf6dNCNA0AfdzUb/hQ=="],
 
     "which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
@@ -1059,6 +1265,8 @@
 
     "zustand": ["zustand@5.0.3", "", { "peerDependencies": { "@types/react": ">=18.0.0", "immer": ">=9.0.6", "react": ">=18.0.0", "use-sync-external-store": ">=1.2.0" }, "optionalPeers": ["@types/react", "immer", "react", "use-sync-external-store"] }, "sha512-14fwWQtU3pH4dE0dOpdMiWjddcH+QzKIgk1cl8epwSE7yag43k/AD/m4L6+K7DytAOr9gGBe3/EXj9g7cdostg=="],
 
+    "zwitch": ["zwitch@2.0.4", "", {}, "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A=="],
+
     "@babel/traverse/globals": ["globals@11.12.0", "", {}, "sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA=="],
 
     "@eslint-community/eslint-utils/eslint-visitor-keys": ["eslint-visitor-keys@3.4.3", "", {}, "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag=="],
@@ -1081,6 +1289,10 @@
 
     "fast-glob/glob-parent": ["glob-parent@5.1.2", "", { "dependencies": { "is-glob": "^4.0.1" } }, "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow=="],
 
+    "mdast-util-find-and-replace/escape-string-regexp": ["escape-string-regexp@5.0.0", "", {}, "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw=="],
+
+    "parse-entities/@types/unist": ["@types/unist@2.0.11", "", {}, "sha512-CmBKiL6NNo/OqgmMn95Fk9Whlp2mtvIv+KNpQKN2F4SjvrEesubTRWGYSg+BnWZOnlCaSTU1sMpsBOzgbYhnsA=="],
+
     "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="],
   }
 }

lightrag_webui/package.json

@@ -45,7 +45,11 @@
     "react": "^19.0.0",
     "react-dom": "^19.0.0",
     "react-dropzone": "^14.3.5",
+    "react-markdown": "^9.0.3",
     "react-number-format": "^5.4.3",
+    "rehype-react": "^8.0.0",
+    "remark-gfm": "^4.0.1",
+    "remark-math": "^6.0.0",
     "seedrandom": "^3.0.5",
     "sigma": "^3.0.1",
     "sonner": "^1.7.4",
@@ -59,8 +63,8 @@
     "@tailwindcss/vite": "^4.0.6",
     "@types/bun": "^1.2.2",
     "@types/node": "^22.13.4",
-    "@types/react": "^19.0.8",
+    "@types/react": "^19.0.10",
-    "@types/react-dom": "^19.0.3",
+    "@types/react-dom": "^19.0.4",
     "@types/seedrandom": "^3.0.8",
     "@vitejs/plugin-react-swc": "^3.8.0",
     "eslint": "^9.20.1",

lightrag_webui/src/api/lightrag.ts

@@ -212,38 +212,42 @@ export const queryTextStream = async (
 ) => {
   try {
     let buffer = ''
-    await axiosInstance.post('/query/stream', request, {
+    await axiosInstance
-      responseType: 'text',
+      .post('/query/stream', request, {
-      headers: {
+        responseType: 'text',
-        Accept: 'application/x-ndjson'
+        headers: {
-      },
+          Accept: 'application/x-ndjson'
-      transformResponse: [
+        },
-        (data: string) => {
+        transformResponse: [
-          // Accumulate the data and process complete lines
+          (data: string) => {
-          buffer += data
+            // Accumulate the data and process complete lines
-          const lines = buffer.split('\n')
+            buffer += data
-          // Keep the last potentially incomplete line in the buffer
+            const lines = buffer.split('\n')
-          buffer = lines.pop() || ''
+            // Keep the last potentially incomplete line in the buffer
+            buffer = lines.pop() || ''
 
-          for (const line of lines) {
+            for (const line of lines) {
-            if (line.trim()) {
+              if (line.trim()) {
-              try {
+                try {
-                const parsed = JSON.parse(line)
+                  const parsed = JSON.parse(line)
-                if (parsed.response) {
+                  if (parsed.response) {
-                  onChunk(parsed.response)
+                    onChunk(parsed.response)
-                } else if (parsed.error && onError) {
+                  } else if (parsed.error && onError) {
-                  onError(parsed.error)
+                    onError(parsed.error)
+                  }
+                } catch (e) {
+                  console.error('Error parsing stream chunk:', e)
+                  if (onError) onError('Error parsing server response')
                 }
-              } catch (e) {
-                console.error('Error parsing stream chunk:', e)
-                if (onError) onError('Error parsing server response')
               }
             }
+            return data
           }
-          return data
+        ]
-        }
+      })
-      ]
+      .catch((error) => {
-    })
+        if (onError) onError(errorMessage(error))
+      })
 
     // Process any remaining data in the buffer
     if (buffer.trim()) {
@@ -266,11 +270,13 @@ export const queryTextStream = async (
   }
 }
 
-export const insertText = async (
+export const insertText = async (text: string): Promise<DocActionResponse> => {
-  text: string,
+  const response = await axiosInstance.post('/documents/text', { text })
-  description?: string
+  return response.data
-): Promise<DocActionResponse> => {
+}
-  const response = await axiosInstance.post('/documents/text', { text, description })
+
+export const insertTexts = async (texts: string[]): Promise<DocActionResponse> => {
+  const response = await axiosInstance.post('/documents/texts', { texts })
   return response.data
 }
 

lightrag_webui/src/features/DocumentManager.tsx

@@ -29,7 +29,16 @@ export default function DocumentManager() {
     try {
       const docs = await getDocuments()
       if (docs && docs.statuses) {
-        setDocs(docs)
+        // compose all documents count
+        const numDocuments = Object.values(docs.statuses).reduce(
+          (acc, status) => acc + status.length,
+          0
+        )
+        if (numDocuments > 0) {
+          setDocs(docs)
+        } else {
+          setDocs(null)
+        }
         // console.log(docs)
       } else {
         setDocs(null)

lightrag_webui/src/features/RetrievalTesting.tsx

@@ -1,14 +1,36 @@
 import Input from '@/components/ui/Input'
 import Button from '@/components/ui/Button'
 import { useCallback, useEffect, useRef, useState } from 'react'
-import { queryText, queryTextStream, Message } from '@/api/lightrag'
+import { queryText, queryTextStream, Message as ChatMessage } from '@/api/lightrag'
 import { errorMessage } from '@/lib/utils'
 import { useSettingsStore } from '@/stores/settings'
 import { useDebounce } from '@/hooks/useDebounce'
 import QuerySettings from '@/components/retrieval/QuerySettings'
 
+import ReactMarkdown from 'react-markdown'
+import remarkGfm from 'remark-gfm'
+import rehypeReact from 'rehype-react'
+import remarkMath from 'remark-math'
+
 import { EraserIcon, SendIcon, LoaderIcon } from 'lucide-react'
 
+type Message = ChatMessage & {
+  isError?: boolean
+}
+
+const ChatMessageComponent = ({ message }: { message: Message }) => {
+  return (
+    <ReactMarkdown
+      className="prose lg:prose-xs dark:prose-invert max-w-none text-base"
+      remarkPlugins={[remarkGfm, remarkMath]}
+      rehypePlugins={[rehypeReact]}
+      skipHtml={false}
+    >
+      {message.content}
+    </ReactMarkdown>
+  )
+}
+
 export default function RetrievalTesting() {
   const [messages, setMessages] = useState<Message[]>(
     () => useSettingsStore.getState().retrievalHistory || []
@@ -47,13 +69,14 @@ export default function RetrievalTesting() {
       setIsLoading(true)
 
       // Create a function to update the assistant's message
-      const updateAssistantMessage = (chunk: string) => {
+      const updateAssistantMessage = (chunk: string, isError?: boolean) => {
         assistantMessage.content += chunk
         setMessages((prev) => {
           const newMessages = [...prev]
           const lastMessage = newMessages[newMessages.length - 1]
           if (lastMessage.role === 'assistant') {
             lastMessage.content = assistantMessage.content
+            lastMessage.isError = isError
           }
           return newMessages
         })
@@ -65,19 +88,30 @@ export default function RetrievalTesting() {
         ...state.querySettings,
         query: userMessage.content,
         conversation_history: prevMessages
+          .filter((m) => m.isError !== true)
+          .map((m) => ({ role: m.role, content: m.content }))
       }
 
       try {
         // Run query
         if (state.querySettings.stream) {
-          await queryTextStream(queryParams, updateAssistantMessage)
+          let errorMessage = ''
+          await queryTextStream(queryParams, updateAssistantMessage, (error) => {
+            errorMessage += error
+          })
+          if (errorMessage) {
+            if (assistantMessage.content) {
+              errorMessage = assistantMessage.content + '\n' + errorMessage
+            }
+            updateAssistantMessage(errorMessage, true)
+          }
         } else {
           const response = await queryText(queryParams)
           updateAssistantMessage(response.response)
         }
       } catch (err) {
         // Handle error
-        updateAssistantMessage(`Error: Failed to get response\n${errorMessage(err)}`)
+        updateAssistantMessage(`Error: Failed to get response\n${errorMessage(err)}`, true)
       } finally {
         // Clear loading and add messages to state
         setIsLoading(false)
@@ -115,10 +149,16 @@ export default function RetrievalTesting() {
                   >
                     <div
                       className={`max-w-[80%] rounded-lg px-4 py-2 ${
-                        message.role === 'user' ? 'bg-primary text-primary-foreground' : 'bg-muted'
+                        message.role === 'user'
+                          ? 'bg-primary text-primary-foreground'
+                          : message.isError
+                            ? 'bg-red-100 text-red-600 dark:bg-red-950 dark:text-red-400'
+                            : 'bg-muted'
                       }`}
                     >
-                      <pre className="break-words whitespace-pre-wrap">{message.content}</pre>
+                      <pre className="break-words whitespace-pre-wrap">
+                        {<ChatMessageComponent message={message} />}
+                      </pre>
                       {message.content.length === 0 && (
                         <LoaderIcon className="animate-spin duration-2000" />
                       )}