From c9e1c86e81dc0edd55d0fc26d65b8a7764f97ebb Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 12:10:04 +0800 Subject: [PATCH 01/89] Refactor keyword extraction handling to centralize response format logic MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Move response format to core function • Remove duplicate format assignments • Standardize keyword extraction flow • Clean up redundant parameter handling • Improve Azure OpenAI compatibility --- lightrag/llm/azure_openai.py | 9 +++++++-- lightrag/llm/openai.py | 10 ++++------ 2 files changed, 11 insertions(+), 8 deletions(-) diff --git a/lightrag/llm/azure_openai.py b/lightrag/llm/azure_openai.py index 98437ca8..c183c3a9 100644 --- a/lightrag/llm/azure_openai.py +++ b/lightrag/llm/azure_openai.py @@ -26,6 +26,7 @@ from lightrag.utils import ( safe_unicode_decode, logger, ) +from lightrag.types import GPTKeywordExtractionFormat import numpy as np @@ -46,6 +47,7 @@ async def azure_openai_complete_if_cache( base_url: str | None = None, api_key: str | None = None, api_version: str | None = None, + keyword_extraction: bool = False, **kwargs, ): if enable_cot: @@ -66,9 +68,12 @@ async def azure_openai_complete_if_cache( ) kwargs.pop("hashing_kv", None) - kwargs.pop("keyword_extraction", None) timeout = kwargs.pop("timeout", None) + # Handle keyword extraction mode + if keyword_extraction: + kwargs["response_format"] = GPTKeywordExtractionFormat + openai_async_client = AsyncAzureOpenAI( azure_endpoint=base_url, azure_deployment=deployment, @@ -117,12 +122,12 @@ async def azure_openai_complete_if_cache( async def azure_openai_complete( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: - kwargs.pop("keyword_extraction", None) result = await azure_openai_complete_if_cache( os.getenv("LLM_MODEL", "gpt-4o-mini"), prompt, system_prompt=system_prompt, history_messages=history_messages, + keyword_extraction=keyword_extraction, **kwargs, ) return result diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 8c984e51..948ae270 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -203,6 +203,10 @@ async def openai_complete_if_cache( # Extract client configuration options client_configs = kwargs.pop("openai_client_configs", {}) + # Handle keyword extraction mode + if keyword_extraction: + kwargs["response_format"] = GPTKeywordExtractionFormat + # Create the OpenAI client openai_async_client = create_openai_async_client( api_key=api_key, @@ -522,8 +526,6 @@ async def openai_complete( ) -> Union[str, AsyncIterator[str]]: if history_messages is None: history_messages = [] - if keyword_extraction: - kwargs["response_format"] = "json" model_name = kwargs["hashing_kv"].global_config["llm_model_name"] return await openai_complete_if_cache( model_name, @@ -545,8 +547,6 @@ async def gpt_4o_complete( ) -> str: if history_messages is None: history_messages = [] - if keyword_extraction: - kwargs["response_format"] = GPTKeywordExtractionFormat return await openai_complete_if_cache( "gpt-4o", prompt, @@ -568,8 +568,6 @@ async def gpt_4o_mini_complete( ) -> str: if history_messages is None: history_messages = [] - if keyword_extraction: - kwargs["response_format"] = GPTKeywordExtractionFormat return await openai_complete_if_cache( "gpt-4o-mini", prompt, From 9f69c5bf85a6b48fea683eb7c1b0dce5ae03a000 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 12:46:31 +0800 Subject: [PATCH 02/89] feat: Support structured output `parsed` from OpenAI Added support for structured output (JSON mode) from the OpenAI API in `openai.py` and `azure_openai.py`. When `response_format` is used to request structured data, the new logic checks for the `message.parsed` attribute. If it exists, it's serialized into a JSON string as the final content. If not, the code falls back to the existing `message.content` handling, ensuring backward compatibility. --- lightrag/llm/azure_openai.py | 17 ++++++-- lightrag/llm/openai.py | 77 ++++++++++++++++++++---------------- 2 files changed, 57 insertions(+), 37 deletions(-) diff --git a/lightrag/llm/azure_openai.py b/lightrag/llm/azure_openai.py index c183c3a9..c67bae10 100644 --- a/lightrag/llm/azure_openai.py +++ b/lightrag/llm/azure_openai.py @@ -113,9 +113,20 @@ async def azure_openai_complete_if_cache( return inner() else: - content = response.choices[0].message.content - if r"\u" in content: - content = safe_unicode_decode(content.encode("utf-8")) + message = response.choices[0].message + + # Handle parsed responses (structured output via response_format) + # When using beta.chat.completions.parse(), the response is in message.parsed + if hasattr(message, "parsed") and message.parsed is not None: + # Serialize the parsed structured response to JSON + content = message.parsed.model_dump_json() + logger.debug("Using parsed structured response from API") + else: + # Handle regular content responses + content = message.content + if content and r"\u" in content: + content = safe_unicode_decode(content.encode("utf-8")) + return content diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 948ae270..cea85b04 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -453,46 +453,55 @@ async def openai_complete_if_cache( raise InvalidResponseError("Invalid response from OpenAI API") message = response.choices[0].message - content = getattr(message, "content", None) - reasoning_content = getattr(message, "reasoning_content", "") + + # Handle parsed responses (structured output via response_format) + # When using beta.chat.completions.parse(), the response is in message.parsed + if hasattr(message, "parsed") and message.parsed is not None: + # Serialize the parsed structured response to JSON + final_content = message.parsed.model_dump_json() + logger.debug("Using parsed structured response from API") + else: + # Handle regular content responses + content = getattr(message, "content", None) + reasoning_content = getattr(message, "reasoning_content", "") - # Handle COT logic for non-streaming responses (only if enabled) - final_content = "" + # Handle COT logic for non-streaming responses (only if enabled) + final_content = "" - if enable_cot: - # Check if we should include reasoning content - should_include_reasoning = False - if reasoning_content and reasoning_content.strip(): - if not content or content.strip() == "": - # Case 1: Only reasoning content, should include COT - should_include_reasoning = True - final_content = ( - content or "" - ) # Use empty string if content is None + if enable_cot: + # Check if we should include reasoning content + should_include_reasoning = False + if reasoning_content and reasoning_content.strip(): + if not content or content.strip() == "": + # Case 1: Only reasoning content, should include COT + should_include_reasoning = True + final_content = ( + content or "" + ) # Use empty string if content is None + else: + # Case 3: Both content and reasoning_content present, ignore reasoning + should_include_reasoning = False + final_content = content else: - # Case 3: Both content and reasoning_content present, ignore reasoning - should_include_reasoning = False - final_content = content + # No reasoning content, use regular content + final_content = content or "" + + # Apply COT wrapping if needed + if should_include_reasoning: + if r"\u" in reasoning_content: + reasoning_content = safe_unicode_decode( + reasoning_content.encode("utf-8") + ) + final_content = f"{reasoning_content}{final_content}" else: - # No reasoning content, use regular content + # COT disabled, only use regular content final_content = content or "" - # Apply COT wrapping if needed - if should_include_reasoning: - if r"\u" in reasoning_content: - reasoning_content = safe_unicode_decode( - reasoning_content.encode("utf-8") - ) - final_content = f"{reasoning_content}{final_content}" - else: - # COT disabled, only use regular content - final_content = content or "" - - # Validate final content - if not final_content or final_content.strip() == "": - logger.error("Received empty content from OpenAI API") - await openai_async_client.close() # Ensure client is closed - raise InvalidResponseError("Received empty content from OpenAI API") + # Validate final content + if not final_content or final_content.strip() == "": + logger.error("Received empty content from OpenAI API") + await openai_async_client.close() # Ensure client is closed + raise InvalidResponseError("Received empty content from OpenAI API") # Apply Unicode decoding to final content if needed if r"\u" in final_content: From 02fdceb959585052b2667385ddaf077cc2300018 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 12:55:44 +0800 Subject: [PATCH 03/89] Update OpenAI client to use stable API and bump minimum version to 2.0.0 - Remove beta prefix from completions.parse - Update OpenAI dependency to >=2.0.0 - Fix whitespace formatting - Update all requirement files - Clean up pyproject.toml dependencies --- lightrag/llm/azure_openai.py | 6 +++--- lightrag/llm/openai.py | 8 +++++--- pyproject.toml | 4 ++-- requirements-offline-llm.txt | 2 +- requirements-offline.txt | 2 +- uv.lock | 8 +++++--- 6 files changed, 17 insertions(+), 13 deletions(-) diff --git a/lightrag/llm/azure_openai.py b/lightrag/llm/azure_openai.py index c67bae10..cb8d68df 100644 --- a/lightrag/llm/azure_openai.py +++ b/lightrag/llm/azure_openai.py @@ -90,7 +90,7 @@ async def azure_openai_complete_if_cache( messages.append({"role": "user", "content": prompt}) if "response_format" in kwargs: - response = await openai_async_client.beta.chat.completions.parse( + response = await openai_async_client.chat.completions.parse( model=model, messages=messages, **kwargs ) else: @@ -114,7 +114,7 @@ async def azure_openai_complete_if_cache( return inner() else: message = response.choices[0].message - + # Handle parsed responses (structured output via response_format) # When using beta.chat.completions.parse(), the response is in message.parsed if hasattr(message, "parsed") and message.parsed is not None: @@ -126,7 +126,7 @@ async def azure_openai_complete_if_cache( content = message.content if content and r"\u" in content: content = safe_unicode_decode(content.encode("utf-8")) - + return content diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index cea85b04..6da79c2c 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -241,7 +241,7 @@ async def openai_complete_if_cache( try: # Don't use async with context manager, use client directly if "response_format" in kwargs: - response = await openai_async_client.beta.chat.completions.parse( + response = await openai_async_client.chat.completions.parse( model=model, messages=messages, **kwargs ) else: @@ -453,7 +453,7 @@ async def openai_complete_if_cache( raise InvalidResponseError("Invalid response from OpenAI API") message = response.choices[0].message - + # Handle parsed responses (structured output via response_format) # When using beta.chat.completions.parse(), the response is in message.parsed if hasattr(message, "parsed") and message.parsed is not None: @@ -492,7 +492,9 @@ async def openai_complete_if_cache( reasoning_content = safe_unicode_decode( reasoning_content.encode("utf-8") ) - final_content = f"{reasoning_content}{final_content}" + final_content = ( + f"{reasoning_content}{final_content}" + ) else: # COT disabled, only use regular content final_content = content or "" diff --git a/pyproject.toml b/pyproject.toml index e40452e0..1b966dae 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -58,7 +58,7 @@ api = [ "nano-vectordb", "networkx", "numpy>=1.24.0,<2.0.0", - "openai>=1.0.0,<3.0.0", + "openai>=2.0.0,<3.0.0", "pandas>=2.0.0,<2.4.0", "pipmaster", "pydantic", @@ -115,7 +115,7 @@ offline-storage = [ offline-llm = [ # LLM provider dependencies - "openai>=1.0.0,<3.0.0", + "openai>=2.0.0,<3.0.0", "anthropic>=0.18.0,<1.0.0", "ollama>=0.1.0,<1.0.0", "zhipuai>=2.0.0,<3.0.0", diff --git a/requirements-offline-llm.txt b/requirements-offline-llm.txt index 1539552a..bcfb1451 100644 --- a/requirements-offline-llm.txt +++ b/requirements-offline-llm.txt @@ -14,6 +14,6 @@ google-api-core>=2.0.0,<3.0.0 google-genai>=1.0.0,<2.0.0 llama-index>=0.9.0,<1.0.0 ollama>=0.1.0,<1.0.0 -openai>=1.0.0,<3.0.0 +openai>=2.0.0,<3.0.0 voyageai>=0.2.0,<1.0.0 zhipuai>=2.0.0,<3.0.0 diff --git a/requirements-offline.txt b/requirements-offline.txt index 50848093..87ca7a6a 100644 --- a/requirements-offline.txt +++ b/requirements-offline.txt @@ -19,7 +19,7 @@ google-genai>=1.0.0,<2.0.0 llama-index>=0.9.0,<1.0.0 neo4j>=5.0.0,<7.0.0 ollama>=0.1.0,<1.0.0 -openai>=1.0.0,<3.0.0 +openai>=2.0.0,<3.0.0 openpyxl>=3.0.0,<4.0.0 pycryptodome>=3.0.0,<4.0.0 pymilvus>=2.6.2,<3.0.0 diff --git a/uv.lock b/uv.lock index 97703af0..a4f17ab4 100644 --- a/uv.lock +++ b/uv.lock @@ -2735,7 +2735,6 @@ requires-dist = [ { name = "json-repair", marker = "extra == 'api'" }, { name = "langfuse", marker = "extra == 'observability'", specifier = ">=3.8.1" }, { name = "lightrag-hku", extras = ["api", "offline-llm", "offline-storage"], marker = "extra == 'offline'" }, - { name = "lightrag-hku", extras = ["pytest"], marker = "extra == 'evaluation'" }, { name = "llama-index", marker = "extra == 'offline-llm'", specifier = ">=0.9.0,<1.0.0" }, { name = "nano-vectordb" }, { name = "nano-vectordb", marker = "extra == 'api'" }, @@ -2745,14 +2744,15 @@ requires-dist = [ { name = "numpy", specifier = ">=1.24.0,<2.0.0" }, { name = "numpy", marker = "extra == 'api'", specifier = ">=1.24.0,<2.0.0" }, { name = "ollama", marker = "extra == 'offline-llm'", specifier = ">=0.1.0,<1.0.0" }, - { name = "openai", marker = "extra == 'api'", specifier = ">=1.0.0,<3.0.0" }, - { name = "openai", marker = "extra == 'offline-llm'", specifier = ">=1.0.0,<3.0.0" }, + { name = "openai", marker = "extra == 'api'", specifier = ">=2.0.0,<3.0.0" }, + { name = "openai", marker = "extra == 'offline-llm'", specifier = ">=2.0.0,<3.0.0" }, { name = "openpyxl", marker = "extra == 'api'", specifier = ">=3.0.0,<4.0.0" }, { name = "pandas", specifier = ">=2.0.0,<2.4.0" }, { name = "pandas", marker = "extra == 'api'", specifier = ">=2.0.0,<2.4.0" }, { name = "passlib", extras = ["bcrypt"], marker = "extra == 'api'" }, { name = "pipmaster" }, { name = "pipmaster", marker = "extra == 'api'" }, + { name = "pre-commit", marker = "extra == 'evaluation'" }, { name = "pre-commit", marker = "extra == 'pytest'" }, { name = "psutil", marker = "extra == 'api'" }, { name = "pycryptodome", marker = "extra == 'api'", specifier = ">=3.0.0,<4.0.0" }, @@ -2764,7 +2764,9 @@ requires-dist = [ { name = "pypdf", marker = "extra == 'api'", specifier = ">=6.1.0" }, { name = "pypinyin" }, { name = "pypinyin", marker = "extra == 'api'" }, + { name = "pytest", marker = "extra == 'evaluation'", specifier = ">=8.4.2" }, { name = "pytest", marker = "extra == 'pytest'", specifier = ">=8.4.2" }, + { name = "pytest-asyncio", marker = "extra == 'evaluation'", specifier = ">=1.2.0" }, { name = "pytest-asyncio", marker = "extra == 'pytest'", specifier = ">=1.2.0" }, { name = "python-docx", marker = "extra == 'api'", specifier = ">=0.8.11,<2.0.0" }, { name = "python-dotenv" }, From 1e477e95ef4c025df6218fc7c2cbef058904cfa9 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 12:59:49 +0800 Subject: [PATCH 04/89] Add lightrag-clean-llmqc console script entry point - Add clean_llm_query_cache tool - New console script for cache cleanup - Extend CLI tool availability --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index e40452e0..b76315d9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -151,6 +151,7 @@ observability = [ lightrag-server = "lightrag.api.lightrag_server:main" lightrag-gunicorn = "lightrag.api.run_with_gunicorn:main" lightrag-download-cache = "lightrag.tools.download_cache:main" +lightrag-clean-llmqc = "lightrag.tools.clean_llm_query_cache:main" [project.urls] Homepage = "https://github.com/HKUDS/LightRAG" From 66d6c7dd6fc78bc16e51566da8717001b5c930e0 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 13:11:55 +0800 Subject: [PATCH 05/89] Refactor main function to provide sync CLI entry point --- lightrag/tools/clean_llm_query_cache.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/lightrag/tools/clean_llm_query_cache.py b/lightrag/tools/clean_llm_query_cache.py index dbe2e455..6fc7eea8 100644 --- a/lightrag/tools/clean_llm_query_cache.py +++ b/lightrag/tools/clean_llm_query_cache.py @@ -1129,11 +1129,16 @@ class CleanupTool: pass -async def main(): - """Main entry point""" +async def async_main(): + """Async main entry point""" tool = CleanupTool() await tool.run() +def main(): + """Synchronous entry point for CLI command""" + asyncio.run(async_main()) + + if __name__ == "__main__": - asyncio.run(main()) + main() From b709f8f869c528f045416fc9c584bbc1661bf450 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 17:12:33 +0800 Subject: [PATCH 06/89] Consolidate Azure OpenAI implementation into main OpenAI module MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Unified OpenAI/Azure client creation • Azure module now re-exports functions • Backward compatibility maintained • Reduced code duplication --- lightrag/llm/azure_openai.py | 205 +++----------------------------- lightrag/llm/openai.py | 223 ++++++++++++++++++++++++++++++----- 2 files changed, 213 insertions(+), 215 deletions(-) diff --git a/lightrag/llm/azure_openai.py b/lightrag/llm/azure_openai.py index cb8d68df..1fc6feef 100644 --- a/lightrag/llm/azure_openai.py +++ b/lightrag/llm/azure_openai.py @@ -1,193 +1,22 @@ -from collections.abc import Iterable -import os -import pipmaster as pm # Pipmaster for dynamic library install +""" +Azure OpenAI compatibility layer. -# install specific modules -if not pm.is_installed("openai"): - pm.install("openai") +This module provides backward compatibility by re-exporting Azure OpenAI functions +from the main openai module where the actual implementation resides. -from openai import ( - AsyncAzureOpenAI, - APIConnectionError, - RateLimitError, - APITimeoutError, -) -from openai.types.chat import ChatCompletionMessageParam +All core logic for both OpenAI and Azure OpenAI now lives in lightrag.llm.openai, +with this module serving as a thin compatibility wrapper for existing code that +imports from lightrag.llm.azure_openai. +""" -from tenacity import ( - retry, - stop_after_attempt, - wait_exponential, - retry_if_exception_type, +from lightrag.llm.openai import ( + azure_openai_complete_if_cache, + azure_openai_complete, + azure_openai_embed, ) -from lightrag.utils import ( - wrap_embedding_func_with_attrs, - safe_unicode_decode, - logger, -) -from lightrag.types import GPTKeywordExtractionFormat - -import numpy as np - - -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - (RateLimitError, APIConnectionError, APIConnectionError) - ), -) -async def azure_openai_complete_if_cache( - model, - prompt, - system_prompt: str | None = None, - history_messages: Iterable[ChatCompletionMessageParam] | None = None, - enable_cot: bool = False, - base_url: str | None = None, - api_key: str | None = None, - api_version: str | None = None, - keyword_extraction: bool = False, - **kwargs, -): - if enable_cot: - logger.debug( - "enable_cot=True is not supported for the Azure OpenAI API and will be ignored." - ) - deployment = os.getenv("AZURE_OPENAI_DEPLOYMENT") or model or os.getenv("LLM_MODEL") - base_url = ( - base_url or os.getenv("AZURE_OPENAI_ENDPOINT") or os.getenv("LLM_BINDING_HOST") - ) - api_key = ( - api_key or os.getenv("AZURE_OPENAI_API_KEY") or os.getenv("LLM_BINDING_API_KEY") - ) - api_version = ( - api_version - or os.getenv("AZURE_OPENAI_API_VERSION") - or os.getenv("OPENAI_API_VERSION") - ) - - kwargs.pop("hashing_kv", None) - timeout = kwargs.pop("timeout", None) - - # Handle keyword extraction mode - if keyword_extraction: - kwargs["response_format"] = GPTKeywordExtractionFormat - - openai_async_client = AsyncAzureOpenAI( - azure_endpoint=base_url, - azure_deployment=deployment, - api_key=api_key, - api_version=api_version, - timeout=timeout, - ) - messages = [] - if system_prompt: - messages.append({"role": "system", "content": system_prompt}) - if history_messages: - messages.extend(history_messages) - if prompt is not None: - messages.append({"role": "user", "content": prompt}) - - if "response_format" in kwargs: - response = await openai_async_client.chat.completions.parse( - model=model, messages=messages, **kwargs - ) - else: - response = await openai_async_client.chat.completions.create( - model=model, messages=messages, **kwargs - ) - - if hasattr(response, "__aiter__"): - - async def inner(): - async for chunk in response: - if len(chunk.choices) == 0: - continue - content = chunk.choices[0].delta.content - if content is None: - continue - if r"\u" in content: - content = safe_unicode_decode(content.encode("utf-8")) - yield content - - return inner() - else: - message = response.choices[0].message - - # Handle parsed responses (structured output via response_format) - # When using beta.chat.completions.parse(), the response is in message.parsed - if hasattr(message, "parsed") and message.parsed is not None: - # Serialize the parsed structured response to JSON - content = message.parsed.model_dump_json() - logger.debug("Using parsed structured response from API") - else: - # Handle regular content responses - content = message.content - if content and r"\u" in content: - content = safe_unicode_decode(content.encode("utf-8")) - - return content - - -async def azure_openai_complete( - prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs -) -> str: - result = await azure_openai_complete_if_cache( - os.getenv("LLM_MODEL", "gpt-4o-mini"), - prompt, - system_prompt=system_prompt, - history_messages=history_messages, - keyword_extraction=keyword_extraction, - **kwargs, - ) - return result - - -@wrap_embedding_func_with_attrs(embedding_dim=1536) -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - (RateLimitError, APIConnectionError, APITimeoutError) - ), -) -async def azure_openai_embed( - texts: list[str], - model: str | None = None, - base_url: str | None = None, - api_key: str | None = None, - api_version: str | None = None, -) -> np.ndarray: - deployment = ( - os.getenv("AZURE_EMBEDDING_DEPLOYMENT") - or model - or os.getenv("EMBEDDING_MODEL", "text-embedding-3-small") - ) - base_url = ( - base_url - or os.getenv("AZURE_EMBEDDING_ENDPOINT") - or os.getenv("EMBEDDING_BINDING_HOST") - ) - api_key = ( - api_key - or os.getenv("AZURE_EMBEDDING_API_KEY") - or os.getenv("EMBEDDING_BINDING_API_KEY") - ) - api_version = ( - api_version - or os.getenv("AZURE_EMBEDDING_API_VERSION") - or os.getenv("OPENAI_API_VERSION") - ) - - openai_async_client = AsyncAzureOpenAI( - azure_endpoint=base_url, - azure_deployment=deployment, - api_key=api_key, - api_version=api_version, - ) - - response = await openai_async_client.embeddings.create( - model=model or deployment, input=texts, encoding_format="float" - ) - return np.array([dp.embedding for dp in response.data]) +__all__ = [ + "azure_openai_complete_if_cache", + "azure_openai_complete", + "azure_openai_embed", +] diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 6da79c2c..829cf736 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -77,46 +77,73 @@ class InvalidResponseError(Exception): def create_openai_async_client( api_key: str | None = None, base_url: str | None = None, + use_azure: bool = False, + azure_deployment: str | None = None, + api_version: str | None = None, + timeout: int | None = None, client_configs: dict[str, Any] | None = None, ) -> AsyncOpenAI: - """Create an AsyncOpenAI client with the given configuration. + """Create an AsyncOpenAI or AsyncAzureOpenAI client with the given configuration. Args: api_key: OpenAI API key. If None, uses the OPENAI_API_KEY environment variable. base_url: Base URL for the OpenAI API. If None, uses the default OpenAI API URL. + use_azure: Whether to create an Azure OpenAI client. Default is False. + azure_deployment: Azure OpenAI deployment name (only used when use_azure=True). + api_version: Azure OpenAI API version (only used when use_azure=True). + timeout: Request timeout in seconds. client_configs: Additional configuration options for the AsyncOpenAI client. These will override any default configurations but will be overridden by explicit parameters (api_key, base_url). Returns: - An AsyncOpenAI client instance. + An AsyncOpenAI or AsyncAzureOpenAI client instance. """ - if not api_key: - api_key = os.environ["OPENAI_API_KEY"] + if use_azure: + from openai import AsyncAzureOpenAI - default_headers = { - "User-Agent": f"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_8) LightRAG/{__api_version__}", - "Content-Type": "application/json", - } + if not api_key: + api_key = os.environ.get("AZURE_OPENAI_API_KEY") or os.environ.get( + "LLM_BINDING_API_KEY" + ) - if client_configs is None: - client_configs = {} - - # Create a merged config dict with precedence: explicit params > client_configs > defaults - merged_configs = { - **client_configs, - "default_headers": default_headers, - "api_key": api_key, - } - - if base_url is not None: - merged_configs["base_url"] = base_url - else: - merged_configs["base_url"] = os.environ.get( - "OPENAI_API_BASE", "https://api.openai.com/v1" + return AsyncAzureOpenAI( + azure_endpoint=base_url, + azure_deployment=azure_deployment, + api_key=api_key, + api_version=api_version, + timeout=timeout, ) + else: + if not api_key: + api_key = os.environ["OPENAI_API_KEY"] - return AsyncOpenAI(**merged_configs) + default_headers = { + "User-Agent": f"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_8) LightRAG/{__api_version__}", + "Content-Type": "application/json", + } + + if client_configs is None: + client_configs = {} + + # Create a merged config dict with precedence: explicit params > client_configs > defaults + merged_configs = { + **client_configs, + "default_headers": default_headers, + "api_key": api_key, + } + + if base_url is not None: + merged_configs["base_url"] = base_url + else: + merged_configs["base_url"] = os.environ.get( + "OPENAI_API_BASE", "https://api.openai.com/v1" + ) + + if timeout is not None: + merged_configs["timeout"] = timeout + + return AsyncOpenAI(**merged_configs) @retry( @@ -141,6 +168,9 @@ async def openai_complete_if_cache( stream: bool | None = None, timeout: int | None = None, keyword_extraction: bool = False, + use_azure: bool = False, + azure_deployment: str | None = None, + api_version: str | None = None, **kwargs: Any, ) -> str: """Complete a prompt using OpenAI's API with caching support and Chain of Thought (COT) integration. @@ -207,10 +237,14 @@ async def openai_complete_if_cache( if keyword_extraction: kwargs["response_format"] = GPTKeywordExtractionFormat - # Create the OpenAI client + # Create the OpenAI client (supports both OpenAI and Azure) openai_async_client = create_openai_async_client( api_key=api_key, base_url=base_url, + use_azure=use_azure, + azure_deployment=azure_deployment, + api_version=api_version, + timeout=timeout, client_configs=client_configs, ) @@ -631,6 +665,9 @@ async def openai_embed( embedding_dim: int | None = None, client_configs: dict[str, Any] | None = None, token_tracker: Any | None = None, + use_azure: bool = False, + azure_deployment: str | None = None, + api_version: str | None = None, ) -> np.ndarray: """Generate embeddings for a list of texts using OpenAI's API. @@ -658,9 +695,14 @@ async def openai_embed( RateLimitError: If the OpenAI API rate limit is exceeded. APITimeoutError: If the OpenAI API request times out. """ - # Create the OpenAI client + # Create the OpenAI client (supports both OpenAI and Azure) openai_async_client = create_openai_async_client( - api_key=api_key, base_url=base_url, client_configs=client_configs + api_key=api_key, + base_url=base_url, + use_azure=use_azure, + azure_deployment=azure_deployment, + api_version=api_version, + client_configs=client_configs, ) async with openai_async_client: @@ -693,3 +735,130 @@ async def openai_embed( for dp in response.data ] ) + + +# Azure OpenAI wrapper functions for backward compatibility +async def azure_openai_complete_if_cache( + model, + prompt, + system_prompt: str | None = None, + history_messages: list[dict[str, Any]] | None = None, + enable_cot: bool = False, + base_url: str | None = None, + api_key: str | None = None, + api_version: str | None = None, + keyword_extraction: bool = False, + **kwargs, +): + """Azure OpenAI completion wrapper function. + + This function provides backward compatibility by wrapping the unified + openai_complete_if_cache implementation with Azure-specific parameter handling. + """ + # Handle Azure-specific environment variables and parameters + deployment = os.getenv("AZURE_OPENAI_DEPLOYMENT") or model or os.getenv("LLM_MODEL") + base_url = ( + base_url or os.getenv("AZURE_OPENAI_ENDPOINT") or os.getenv("LLM_BINDING_HOST") + ) + api_key = ( + api_key or os.getenv("AZURE_OPENAI_API_KEY") or os.getenv("LLM_BINDING_API_KEY") + ) + api_version = ( + api_version + or os.getenv("AZURE_OPENAI_API_VERSION") + or os.getenv("OPENAI_API_VERSION") + ) + + # Pop timeout from kwargs if present (will be handled by openai_complete_if_cache) + timeout = kwargs.pop("timeout", None) + + # Call the unified implementation with Azure-specific parameters + return await openai_complete_if_cache( + model=model, + prompt=prompt, + system_prompt=system_prompt, + history_messages=history_messages, + enable_cot=enable_cot, + base_url=base_url, + api_key=api_key, + timeout=timeout, + use_azure=True, + azure_deployment=deployment, + api_version=api_version, + keyword_extraction=keyword_extraction, + **kwargs, + ) + + +async def azure_openai_complete( + prompt, system_prompt=None, history_messages=None, keyword_extraction=False, **kwargs +) -> str: + """Azure OpenAI complete wrapper function. + + Provides backward compatibility for azure_openai_complete calls. + """ + if history_messages is None: + history_messages = [] + result = await azure_openai_complete_if_cache( + os.getenv("LLM_MODEL", "gpt-4o-mini"), + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + keyword_extraction=keyword_extraction, + **kwargs, + ) + return result + + +@wrap_embedding_func_with_attrs(embedding_dim=1536) +@retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + (RateLimitError, APIConnectionError, APITimeoutError) + ), +) +async def azure_openai_embed( + texts: list[str], + model: str | None = None, + base_url: str | None = None, + api_key: str | None = None, + api_version: str | None = None, +) -> np.ndarray: + """Azure OpenAI embedding wrapper function. + + This function provides backward compatibility by wrapping the unified + openai_embed implementation with Azure-specific parameter handling. + """ + # Handle Azure-specific environment variables and parameters + deployment = ( + os.getenv("AZURE_EMBEDDING_DEPLOYMENT") + or model + or os.getenv("EMBEDDING_MODEL", "text-embedding-3-small") + ) + base_url = ( + base_url + or os.getenv("AZURE_EMBEDDING_ENDPOINT") + or os.getenv("EMBEDDING_BINDING_HOST") + ) + api_key = ( + api_key + or os.getenv("AZURE_EMBEDDING_API_KEY") + or os.getenv("EMBEDDING_BINDING_API_KEY") + ) + api_version = ( + api_version + or os.getenv("AZURE_EMBEDDING_API_VERSION") + or os.getenv("OPENAI_API_VERSION") + ) + + # Call the unified implementation with Azure-specific parameters + return await openai_embed( + texts=texts, + model=model or deployment, + base_url=base_url, + api_key=api_key, + use_azure=True, + azure_deployment=deployment, + api_version=api_version, + ) From b46c152306f8b58b2cb599e2c99686dcfc5d22b4 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 17:16:44 +0800 Subject: [PATCH 07/89] Fix linting --- lightrag/llm/openai.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 829cf736..1e840d08 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -751,7 +751,7 @@ async def azure_openai_complete_if_cache( **kwargs, ): """Azure OpenAI completion wrapper function. - + This function provides backward compatibility by wrapping the unified openai_complete_if_cache implementation with Azure-specific parameter handling. """ @@ -768,10 +768,10 @@ async def azure_openai_complete_if_cache( or os.getenv("AZURE_OPENAI_API_VERSION") or os.getenv("OPENAI_API_VERSION") ) - + # Pop timeout from kwargs if present (will be handled by openai_complete_if_cache) timeout = kwargs.pop("timeout", None) - + # Call the unified implementation with Azure-specific parameters return await openai_complete_if_cache( model=model, @@ -791,10 +791,14 @@ async def azure_openai_complete_if_cache( async def azure_openai_complete( - prompt, system_prompt=None, history_messages=None, keyword_extraction=False, **kwargs + prompt, + system_prompt=None, + history_messages=None, + keyword_extraction=False, + **kwargs, ) -> str: """Azure OpenAI complete wrapper function. - + Provides backward compatibility for azure_openai_complete calls. """ if history_messages is None: @@ -826,7 +830,7 @@ async def azure_openai_embed( api_version: str | None = None, ) -> np.ndarray: """Azure OpenAI embedding wrapper function. - + This function provides backward compatibility by wrapping the unified openai_embed implementation with Azure-specific parameter handling. """ @@ -851,7 +855,7 @@ async def azure_openai_embed( or os.getenv("AZURE_EMBEDDING_API_VERSION") or os.getenv("OPENAI_API_VERSION") ) - + # Call the unified implementation with Azure-specific parameters return await openai_embed( texts=texts, From 0c4cba3860fc40e07829c66fdb91594a02cb516c Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 18:03:53 +0800 Subject: [PATCH 08/89] Fix double decoration in azure_openai_embed and document decorator usage MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Remove redundant @retry decorator • Call openai_embed.func directly • Add detailed decorator documentation • Prevent double parameter injection • Fix EmbeddingFunc wrapping issues --- lightrag/llm/openai.py | 41 ++++++++++++++++++------ lightrag/utils.py | 71 +++++++++++++++++++++++++++++++++++++++++- 2 files changed, 102 insertions(+), 10 deletions(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 1e840d08..4052727b 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -815,13 +815,6 @@ async def azure_openai_complete( @wrap_embedding_func_with_attrs(embedding_dim=1536) -@retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - (RateLimitError, APIConnectionError, APITimeoutError) - ), -) async def azure_openai_embed( texts: list[str], model: str | None = None, @@ -833,6 +826,35 @@ async def azure_openai_embed( This function provides backward compatibility by wrapping the unified openai_embed implementation with Azure-specific parameter handling. + + IMPORTANT - Decorator Usage: + + 1. This function is decorated with @wrap_embedding_func_with_attrs to provide + the EmbeddingFunc interface for users who need to access embedding_dim + and other attributes. + + 2. This function does NOT use @retry decorator to avoid double-wrapping, + since the underlying openai_embed.func already has retry logic. + + 3. This function calls openai_embed.func (the unwrapped function) instead of + openai_embed (the EmbeddingFunc instance) to avoid double decoration issues: + + ✅ Correct: await openai_embed.func(...) # Calls unwrapped function with retry + ❌ Wrong: await openai_embed(...) # Would cause double EmbeddingFunc wrapping + + Double decoration causes: + - Double injection of embedding_dim parameter + - Incorrect parameter passing to the underlying implementation + - Runtime errors due to parameter conflicts + + The call chain with correct implementation: + azure_openai_embed(texts) + → EmbeddingFunc.__call__(texts) # azure's decorator + → azure_openai_embed_impl(texts, embedding_dim=1536) + → openai_embed.func(texts, ...) + → @retry_wrapper(texts, ...) # openai's retry (only one layer) + → openai_embed_impl(texts, ...) + → actual embedding computation """ # Handle Azure-specific environment variables and parameters deployment = ( @@ -856,8 +878,9 @@ async def azure_openai_embed( or os.getenv("OPENAI_API_VERSION") ) - # Call the unified implementation with Azure-specific parameters - return await openai_embed( + # CRITICAL: Call openai_embed.func (unwrapped) to avoid double decoration + # openai_embed is an EmbeddingFunc instance, .func accesses the underlying function + return await openai_embed.func( texts=texts, model=model or deployment, base_url=base_url, diff --git a/lightrag/utils.py b/lightrag/utils.py index 6a7237c0..65c1e4bc 100644 --- a/lightrag/utils.py +++ b/lightrag/utils.py @@ -1005,7 +1005,76 @@ def priority_limit_async_func_call( def wrap_embedding_func_with_attrs(**kwargs): - """Wrap a function with attributes""" + """Decorator to add embedding dimension and token limit attributes to embedding functions. + + This decorator wraps an async embedding function and returns an EmbeddingFunc instance + that automatically handles dimension parameter injection and attribute management. + + WARNING: DO NOT apply this decorator to wrapper functions that call other + decorated embedding functions. This will cause double decoration and parameter + injection conflicts. + + Correct usage patterns: + + 1. Direct implementation (decorated): + ```python + @wrap_embedding_func_with_attrs(embedding_dim=1536) + async def my_embed(texts, embedding_dim=None): + # Direct implementation + return embeddings + ``` + + 2. Wrapper calling decorated function (DO NOT decorate wrapper): + ```python + # my_embed is already decorated above + + async def my_wrapper(texts, **kwargs): # ❌ DO NOT decorate this! + # Must call .func to access unwrapped implementation + return await my_embed.func(texts, **kwargs) + ``` + + 3. Wrapper calling decorated function (properly decorated): + ```python + @wrap_embedding_func_with_attrs(embedding_dim=1536) + async def my_wrapper(texts, **kwargs): # ✅ Can decorate if calling .func + # Calling .func avoids double decoration + return await my_embed.func(texts, **kwargs) + ``` + + The decorated function becomes an EmbeddingFunc instance with: + - embedding_dim: The embedding dimension + - max_token_size: Maximum token limit (optional) + - func: The original unwrapped function (access via .func) + - __call__: Wrapper that injects embedding_dim parameter + + Double decoration causes: + - Double injection of embedding_dim parameter + - Incorrect parameter passing to the underlying implementation + - Runtime errors due to parameter conflicts + + Args: + embedding_dim: The dimension of embedding vectors + max_token_size: Maximum number of tokens (optional) + send_dimensions: Whether to inject embedding_dim as a keyword argument (optional) + + Returns: + A decorator that wraps the function as an EmbeddingFunc instance + + Example of correct wrapper implementation: + ```python + @wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) + @retry(...) + async def openai_embed(texts, ...): + # Base implementation + pass + + @wrap_embedding_func_with_attrs(embedding_dim=1536) # Note: No @retry here! + async def azure_openai_embed(texts, ...): + # CRITICAL: Call .func to access unwrapped function + return await openai_embed.func(texts, ...) # ✅ Correct + # return await openai_embed(texts, ...) # ❌ Wrong - double decoration! + ``` + """ def final_decro(func) -> EmbeddingFunc: new_func = EmbeddingFunc(**kwargs, func=func) From 45f4f823920c58abfec01ae2ff0e14c5e5ecf695 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 19:14:16 +0800 Subject: [PATCH 09/89] Refactor Azure OpenAI client creation to support client_configs merging - Handle None client_configs case - Merge configs with explicit params - Override client_configs with params - Use dict unpacking for client init - Maintain parameter precedence --- lightrag/llm/openai.py | 27 ++++++++++++++++++++------- 1 file changed, 20 insertions(+), 7 deletions(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 4052727b..8e265d2c 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -107,13 +107,26 @@ def create_openai_async_client( "LLM_BINDING_API_KEY" ) - return AsyncAzureOpenAI( - azure_endpoint=base_url, - azure_deployment=azure_deployment, - api_key=api_key, - api_version=api_version, - timeout=timeout, - ) + if client_configs is None: + client_configs = {} + + # Create a merged config dict with precedence: explicit params > client_configs + merged_configs = { + **client_configs, + "api_key": api_key, + } + + # Add explicit parameters (override client_configs) + if base_url is not None: + merged_configs["azure_endpoint"] = base_url + if azure_deployment is not None: + merged_configs["azure_deployment"] = azure_deployment + if api_version is not None: + merged_configs["api_version"] = api_version + if timeout is not None: + merged_configs["timeout"] = timeout + + return AsyncAzureOpenAI(**merged_configs) else: if not api_key: api_key = os.environ["OPENAI_API_KEY"] From ac9f2574a572604262c7bfa40b911f5029b8aa2d Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 19:24:32 +0800 Subject: [PATCH 10/89] Improve Azure OpenAI wrapper functions with full parameter support MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Add missing parameters to wrappers • Update docstrings for clarity • Ensure API consistency • Fix parameter forwarding • Maintain backward compatibility --- lightrag/llm/openai.py | 61 +++++++++++++++++++++++++++++++++--------- 1 file changed, 48 insertions(+), 13 deletions(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 8e265d2c..a314d597 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -205,23 +205,33 @@ async def openai_complete_if_cache( 6. For non-streaming: COT content is prepended to regular content with tags. Args: - model: The OpenAI model to use. + model: The OpenAI model to use. For Azure, this can be the deployment name. prompt: The prompt to complete. system_prompt: Optional system prompt to include. history_messages: Optional list of previous messages in the conversation. - base_url: Optional base URL for the OpenAI API. - api_key: Optional OpenAI API key. If None, uses the OPENAI_API_KEY environment variable. - token_tracker: Optional token usage tracker for monitoring API usage. enable_cot: Whether to enable Chain of Thought (COT) processing. Default is False. + base_url: Optional base URL for the OpenAI API. For Azure, this should be the + Azure OpenAI endpoint (e.g., https://your-resource.openai.azure.com/). + api_key: Optional API key. For standard OpenAI, uses OPENAI_API_KEY environment + variable if None. For Azure, uses AZURE_OPENAI_API_KEY if None. + token_tracker: Optional token usage tracker for monitoring API usage. stream: Whether to stream the response. Default is False. timeout: Request timeout in seconds. Default is None. keyword_extraction: Whether to enable keyword extraction mode. When True, triggers special response formatting for keyword extraction. Default is False. + use_azure: Whether to use Azure OpenAI service instead of standard OpenAI. + When True, creates an AsyncAzureOpenAI client. Default is False. + azure_deployment: Azure OpenAI deployment name. Only used when use_azure=True. + If not specified, falls back to AZURE_OPENAI_DEPLOYMENT environment variable. + api_version: Azure OpenAI API version (e.g., "2024-02-15-preview"). Only used + when use_azure=True. If not specified, falls back to AZURE_OPENAI_API_VERSION + environment variable. **kwargs: Additional keyword arguments to pass to the OpenAI API. Special kwargs: - openai_client_configs: Dict of configuration options for the AsyncOpenAI client. These will be passed to the client constructor but will be overridden by - explicit parameters (api_key, base_url). + explicit parameters (api_key, base_url). Supports proxy configuration, + custom headers, retry policies, etc. Returns: The completed text (with integrated COT content if available) or an async iterator @@ -684,21 +694,34 @@ async def openai_embed( ) -> np.ndarray: """Generate embeddings for a list of texts using OpenAI's API. + This function supports both standard OpenAI and Azure OpenAI services. + Args: texts: List of texts to embed. - model: The OpenAI embedding model to use. - base_url: Optional base URL for the OpenAI API. - api_key: Optional OpenAI API key. If None, uses the OPENAI_API_KEY environment variable. + model: The embedding model to use. For standard OpenAI (e.g., "text-embedding-3-small"). + For Azure, this can be the deployment name. + base_url: Optional base URL for the API. For standard OpenAI, uses default OpenAI endpoint. + For Azure, this should be the Azure OpenAI endpoint (e.g., https://your-resource.openai.azure.com/). + api_key: Optional API key. For standard OpenAI, uses OPENAI_API_KEY environment variable if None. + For Azure, uses AZURE_EMBEDDING_API_KEY environment variable if None. embedding_dim: Optional embedding dimension for dynamic dimension reduction. **IMPORTANT**: This parameter is automatically injected by the EmbeddingFunc wrapper. Do NOT manually pass this parameter when calling the function directly. The dimension is controlled by the @wrap_embedding_func_with_attrs decorator. Manually passing a different value will trigger a warning and be ignored. When provided (by EmbeddingFunc), it will be passed to the OpenAI API for dimension reduction. - client_configs: Additional configuration options for the AsyncOpenAI client. + client_configs: Additional configuration options for the AsyncOpenAI/AsyncAzureOpenAI client. These will override any default configurations but will be overridden by - explicit parameters (api_key, base_url). + explicit parameters (api_key, base_url). Supports proxy configuration, + custom headers, retry policies, etc. token_tracker: Optional token usage tracker for monitoring API usage. + use_azure: Whether to use Azure OpenAI service instead of standard OpenAI. + When True, creates an AsyncAzureOpenAI client. Default is False. + azure_deployment: Azure OpenAI deployment name. Only used when use_azure=True. + If not specified, falls back to AZURE_EMBEDDING_DEPLOYMENT environment variable. + api_version: Azure OpenAI API version (e.g., "2024-02-15-preview"). Only used + when use_azure=True. If not specified, falls back to AZURE_EMBEDDING_API_VERSION + environment variable. Returns: A numpy array of embeddings, one per input text. @@ -759,6 +782,9 @@ async def azure_openai_complete_if_cache( enable_cot: bool = False, base_url: str | None = None, api_key: str | None = None, + token_tracker: Any | None = None, + stream: bool | None = None, + timeout: int | None = None, api_version: str | None = None, keyword_extraction: bool = False, **kwargs, @@ -767,6 +793,9 @@ async def azure_openai_complete_if_cache( This function provides backward compatibility by wrapping the unified openai_complete_if_cache implementation with Azure-specific parameter handling. + + All parameters from the underlying openai_complete_if_cache are exposed to ensure + full feature parity and API consistency. """ # Handle Azure-specific environment variables and parameters deployment = os.getenv("AZURE_OPENAI_DEPLOYMENT") or model or os.getenv("LLM_MODEL") @@ -782,9 +811,6 @@ async def azure_openai_complete_if_cache( or os.getenv("OPENAI_API_VERSION") ) - # Pop timeout from kwargs if present (will be handled by openai_complete_if_cache) - timeout = kwargs.pop("timeout", None) - # Call the unified implementation with Azure-specific parameters return await openai_complete_if_cache( model=model, @@ -794,6 +820,8 @@ async def azure_openai_complete_if_cache( enable_cot=enable_cot, base_url=base_url, api_key=api_key, + token_tracker=token_tracker, + stream=stream, timeout=timeout, use_azure=True, azure_deployment=deployment, @@ -833,6 +861,8 @@ async def azure_openai_embed( model: str | None = None, base_url: str | None = None, api_key: str | None = None, + token_tracker: Any | None = None, + client_configs: dict[str, Any] | None = None, api_version: str | None = None, ) -> np.ndarray: """Azure OpenAI embedding wrapper function. @@ -840,6 +870,9 @@ async def azure_openai_embed( This function provides backward compatibility by wrapping the unified openai_embed implementation with Azure-specific parameter handling. + All parameters from the underlying openai_embed are exposed to ensure + full feature parity and API consistency. + IMPORTANT - Decorator Usage: 1. This function is decorated with @wrap_embedding_func_with_attrs to provide @@ -898,6 +931,8 @@ async def azure_openai_embed( model=model or deployment, base_url=base_url, api_key=api_key, + token_tracker=token_tracker, + client_configs=client_configs, use_azure=True, azure_deployment=deployment, api_version=api_version, From fafa1791f4bd9da7e1cf4489885c042ed852cdb2 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 23:41:52 +0800 Subject: [PATCH 11/89] Fix Azure OpenAI model parameter to use deployment name consistently - Use deployment name for Azure API calls - Fix model param in embed function - Consistent api_model logic - Prevent Azure model name conflicts --- lightrag/llm/openai.py | 18 +++++++++++++----- 1 file changed, 13 insertions(+), 5 deletions(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index a314d597..ae342657 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -295,15 +295,19 @@ async def openai_complete_if_cache( if timeout is not None: kwargs["timeout"] = timeout + # Determine the correct model identifier to use + # For Azure OpenAI, we must use the deployment name instead of the model name + api_model = azure_deployment if use_azure and azure_deployment else model + try: # Don't use async with context manager, use client directly if "response_format" in kwargs: response = await openai_async_client.chat.completions.parse( - model=model, messages=messages, **kwargs + model=api_model, messages=messages, **kwargs ) else: response = await openai_async_client.chat.completions.create( - model=model, messages=messages, **kwargs + model=api_model, messages=messages, **kwargs ) except APIConnectionError as e: logger.error(f"OpenAI API Connection Error: {e}") @@ -742,9 +746,13 @@ async def openai_embed( ) async with openai_async_client: + # Determine the correct model identifier to use + # For Azure OpenAI, we must use the deployment name instead of the model name + api_model = azure_deployment if use_azure and azure_deployment else model + # Prepare API call parameters api_params = { - "model": model, + "model": api_model, "input": texts, "encoding_format": "base64", } @@ -813,7 +821,7 @@ async def azure_openai_complete_if_cache( # Call the unified implementation with Azure-specific parameters return await openai_complete_if_cache( - model=model, + model=deployment, prompt=prompt, system_prompt=system_prompt, history_messages=history_messages, @@ -928,7 +936,7 @@ async def azure_openai_embed( # openai_embed is an EmbeddingFunc instance, .func accesses the underlying function return await openai_embed.func( texts=texts, - model=model or deployment, + model=deployment, base_url=base_url, api_key=api_key, token_tracker=token_tracker, From ffd8da512eeb1d1fc27610fc845c3b82dcee21dd Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 21 Nov 2025 23:51:18 +0800 Subject: [PATCH 12/89] Improve Azure OpenAI compatibility and error handling MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Reduce log noise for Azure content filters • Add default API version fallback • Change warning to debug log level • Handle empty choices in streaming • Better Azure OpenAI integration --- lightrag/llm/openai.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index ae342657..54147311 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -352,7 +352,10 @@ async def openai_complete_if_cache( # Check if choices exists and is not empty if not hasattr(chunk, "choices") or not chunk.choices: - logger.warning(f"Received chunk without choices: {chunk}") + # Azure OpenAI sends content filter results in first chunk without choices + logger.debug( + f"Received chunk without choices (likely Azure content filter): {chunk}" + ) continue # Check if delta exists @@ -817,6 +820,7 @@ async def azure_openai_complete_if_cache( api_version or os.getenv("AZURE_OPENAI_API_VERSION") or os.getenv("OPENAI_API_VERSION") + or "2024-08-01-preview" ) # Call the unified implementation with Azure-specific parameters @@ -930,6 +934,7 @@ async def azure_openai_embed( api_version or os.getenv("AZURE_EMBEDDING_API_VERSION") or os.getenv("OPENAI_API_VERSION") + or "2024-08-01-preview" ) # CRITICAL: Call openai_embed.func (unwrapped) to avoid double decoration From 7b76211066a14c04e650a2bbe9358960dbbf8a39 Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 22 Nov 2025 00:14:35 +0800 Subject: [PATCH 13/89] Add fallback to AZURE_OPENAI_API_VERSION for embedding API version --- lightrag/llm/openai.py | 1 + 1 file changed, 1 insertion(+) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 54147311..11a5f9d7 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -933,6 +933,7 @@ async def azure_openai_embed( api_version = ( api_version or os.getenv("AZURE_EMBEDDING_API_VERSION") + or os.getenv("AZURE_OPENAI_API_VERSION") or os.getenv("OPENAI_API_VERSION") or "2024-08-01-preview" ) From 49fb11e205cd2ebc920a3cf3126f01b39afe852c Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 22 Nov 2025 00:19:23 +0800 Subject: [PATCH 14/89] Update Azure OpenAI configuration examples --- env.example | 19 +++++++++++++------ 1 file changed, 13 insertions(+), 6 deletions(-) diff --git a/env.example b/env.example index 26b4f56e..325ba69c 100644 --- a/env.example +++ b/env.example @@ -183,9 +183,13 @@ LLM_MODEL=gpt-4o LLM_BINDING_HOST=https://api.openai.com/v1 LLM_BINDING_API_KEY=your_api_key -### Env vars for Azure openai +### Azure OpenAI example +# LLM_BINDING=azure_openai +# LLM_BINDING_HOST=https://xxxx.openai.azure.com/ +# LLM_BINDING_API_KEY=your_api_key +### Use deployment name as model name or set AZURE_OPENAI_DEPLOYMENT istead +# LLM_MODEL=gpt-5-mini # AZURE_OPENAI_API_VERSION=2024-08-01-preview -# AZURE_OPENAI_DEPLOYMENT=gpt-4o ### Openrouter example # LLM_MODEL=google/gemini-2.5-flash @@ -273,11 +277,14 @@ EMBEDDING_TOKEN_LIMIT=8192 EMBEDDING_BINDING_HOST=https://api.openai.com/v1 EMBEDDING_BINDING_API_KEY=your_api_key -### Optional for Azure -# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large -# AZURE_EMBEDDING_API_VERSION=2023-05-15 -# AZURE_EMBEDDING_ENDPOINT=your_endpoint +### Optional for Azure embedding +# EMBEDDING_BINDING=azure_openai +# EMBEDDING_BINDING_HOST=https://xxxx.openai.azure.com/ # AZURE_EMBEDDING_API_KEY=your_api_key +# AZURE_EMBEDDING_API_VERSION=2024-08-01-preview +# Use deployment name as model name or set AZURE_EMBEDDING_DEPLOYMENT istead +# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large +# EMBEDDING_DIM=3072 ### Gemini embedding # EMBEDDING_BINDING=gemini From fa6797f2464979711b9349ba565009bf2022c676 Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 22 Nov 2025 00:32:12 +0800 Subject: [PATCH 15/89] Update env.example --- env.example | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/env.example b/env.example index 325ba69c..dd0dfb3a 100644 --- a/env.example +++ b/env.example @@ -184,12 +184,12 @@ LLM_BINDING_HOST=https://api.openai.com/v1 LLM_BINDING_API_KEY=your_api_key ### Azure OpenAI example +### Use deployment name as model name or set AZURE_OPENAI_DEPLOYMENT istead +# AZURE_OPENAI_API_VERSION=2024-08-01-preview # LLM_BINDING=azure_openai # LLM_BINDING_HOST=https://xxxx.openai.azure.com/ # LLM_BINDING_API_KEY=your_api_key -### Use deployment name as model name or set AZURE_OPENAI_DEPLOYMENT istead # LLM_MODEL=gpt-5-mini -# AZURE_OPENAI_API_VERSION=2024-08-01-preview ### Openrouter example # LLM_MODEL=google/gemini-2.5-flash @@ -278,12 +278,12 @@ EMBEDDING_BINDING_HOST=https://api.openai.com/v1 EMBEDDING_BINDING_API_KEY=your_api_key ### Optional for Azure embedding +### Use deployment name as model name or set AZURE_EMBEDDING_DEPLOYMENT istead +# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large # EMBEDDING_BINDING=azure_openai # EMBEDDING_BINDING_HOST=https://xxxx.openai.azure.com/ # AZURE_EMBEDDING_API_KEY=your_api_key # AZURE_EMBEDDING_API_VERSION=2024-08-01-preview -# Use deployment name as model name or set AZURE_EMBEDDING_DEPLOYMENT istead -# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large # EMBEDDING_DIM=3072 ### Gemini embedding From 5f53de886616b2ca226a9ecf17d8b37c43261505 Mon Sep 17 00:00:00 2001 From: yangdx Date: Sat, 22 Nov 2025 09:05:52 +0800 Subject: [PATCH 16/89] Fix Azure configuration examples and correct typos in env.example --- env.example | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/env.example b/env.example index dd0dfb3a..fea99953 100644 --- a/env.example +++ b/env.example @@ -184,12 +184,12 @@ LLM_BINDING_HOST=https://api.openai.com/v1 LLM_BINDING_API_KEY=your_api_key ### Azure OpenAI example -### Use deployment name as model name or set AZURE_OPENAI_DEPLOYMENT istead +### Use deployment name as model name or set AZURE_OPENAI_DEPLOYMENT instead # AZURE_OPENAI_API_VERSION=2024-08-01-preview # LLM_BINDING=azure_openai # LLM_BINDING_HOST=https://xxxx.openai.azure.com/ # LLM_BINDING_API_KEY=your_api_key -# LLM_MODEL=gpt-5-mini +# LLM_MODEL=my-gpt-mini-deployment ### Openrouter example # LLM_MODEL=google/gemini-2.5-flash @@ -278,12 +278,12 @@ EMBEDDING_BINDING_HOST=https://api.openai.com/v1 EMBEDDING_BINDING_API_KEY=your_api_key ### Optional for Azure embedding -### Use deployment name as model name or set AZURE_EMBEDDING_DEPLOYMENT istead -# AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large +### Use deployment name as model name or set AZURE_EMBEDDING_DEPLOYMENT instead +# AZURE_EMBEDDING_API_VERSION=2024-08-01-preview # EMBEDDING_BINDING=azure_openai # EMBEDDING_BINDING_HOST=https://xxxx.openai.azure.com/ -# AZURE_EMBEDDING_API_KEY=your_api_key -# AZURE_EMBEDDING_API_VERSION=2024-08-01-preview +# EMBEDDING_API_KEY=your_api_key +# EMBEDDING_MODEL==my-text-embedding-3-large-deployment # EMBEDDING_DIM=3072 ### Gemini embedding From babbcb566b118b7b5718469c28cd2e14bdae2133 Mon Sep 17 00:00:00 2001 From: chaohuang-ai Date: Sun, 23 Nov 2025 00:48:52 +0800 Subject: [PATCH 17/89] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a3746922..4dbc5252 100644 --- a/README.md +++ b/README.md @@ -51,7 +51,7 @@ --- ## 🎉 News -- [2025.11.05]🎯Add **RAGAS-based** Evaluation Framework and **Langfuse** observability for LightRAG (API can return retrieved contexts with query results). +- [2025.11.05]🎯[New Feature]: Integrated **RAGAS for Evaluation** and **Langfuse for Tracing**. Updated the API to return retrieved contexts alongside query results to support context precision metrics. - [2025.10.22]🎯Eliminate bottlenecks in processing **large-scale datasets**. - [2025.09.15]🎯Significantly enhances KG extraction accuracy for **small LLMs** like Qwen3-30B-A3B. - [2025.08.29]🎯**Reranker** is supported now , significantly boosting performance for mixed queries(Set as default query mode now). From 37178462ab64090d3444eb893c27cd580a379eac Mon Sep 17 00:00:00 2001 From: chaohuang-ai Date: Sun, 23 Nov 2025 00:53:39 +0800 Subject: [PATCH 18/89] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4dbc5252..47906d2e 100644 --- a/README.md +++ b/README.md @@ -52,7 +52,7 @@ --- ## 🎉 News - [2025.11.05]🎯[New Feature]: Integrated **RAGAS for Evaluation** and **Langfuse for Tracing**. Updated the API to return retrieved contexts alongside query results to support context precision metrics. -- [2025.10.22]🎯Eliminate bottlenecks in processing **large-scale datasets**. +- [2025.10.22]🎯[Scalability Enhancement]: Eliminated processing bottlenecks to support **Large-Scale Datasets Efficiently**. - [2025.09.15]🎯Significantly enhances KG extraction accuracy for **small LLMs** like Qwen3-30B-A3B. - [2025.08.29]🎯**Reranker** is supported now , significantly boosting performance for mixed queries(Set as default query mode now). - [2025.08.04]🎯**Document deletion** with KG regeneration to ensure query performance. From 1b0413ee7425de72b849acdfe05ae8984b94fb63 Mon Sep 17 00:00:00 2001 From: palanisd <162479981+netbrah@users.noreply.github.com> Date: Sat, 22 Nov 2025 15:29:05 -0500 Subject: [PATCH 19/89] Create copilot-setup-steps.yml --- .github/workflows/copilot-setup-steps.yml | 66 +++++++++++++++++++++++ 1 file changed, 66 insertions(+) create mode 100644 .github/workflows/copilot-setup-steps.yml diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml new file mode 100644 index 00000000..5ebf5e43 --- /dev/null +++ b/.github/workflows/copilot-setup-steps.yml @@ -0,0 +1,66 @@ +name: "Copilot Setup Steps" + +# Automatically run the setup steps when they are changed to allow for easy validation, and +# allow manual testing through the repository's "Actions" tab +on: + workflow_dispatch: + push: + paths: + - .github/workflows/copilot-setup-steps.yml + pull_request: + paths: + - .github/workflows/copilot-setup-steps.yml + +jobs: + # The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot. + copilot-setup-steps: + runs-on: ubuntu-latest + + # Set the permissions to the lowest permissions possible needed for your steps. + # Copilot will be given its own token for its operations. + permissions: + # If you want to clone the repository as part of your setup steps, for example to install dependencies, + # you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, + # Copilot will do this for you automatically after the steps complete. + contents: read + + # Timeout after 30 minutes (maximum is 59) + timeout-minutes: 30 + + # You can define any steps you want, and they will run before the agent starts. + # If you do not check out your code, Copilot will do this for you. + steps: + - name: Checkout code + uses: actions/checkout@v5 + + - name: Set up Python 3.11 + uses: actions/setup-python@v5 + with: + python-version: '3.11' + + - name: Cache pip packages + uses: actions/cache@v4 + with: + path: ~/.cache/pip + key: ${{ runner.os }}-pip-copilot-${{ hashFiles('**/pyproject.toml') }} + restore-keys: | + ${{ runner.os }}-pip-copilot- + ${{ runner.os }}-pip- + + - name: Install Python dependencies + run: | + python -m pip install --upgrade pip + pip install -e ".[api]" + pip install pytest pytest-asyncio httpx + + - name: Create minimal frontend stub for Copilot agent + run: | + mkdir -p lightrag/api/webui + echo 'LightRAG - Copilot Agent

Copilot Agent Mode

' > lightrag/api/webui/index.html + echo "Created minimal frontend stub for Copilot agent environment" + + - name: Verify installation + run: | + python --version + pip list | grep lightrag + lightrag-server --help || echo "Note: Server requires .env configuration to run" From a05bbf105e3b7f996c3f60497b5146c7dbfb68f6 Mon Sep 17 00:00:00 2001 From: netbrah Date: Sat, 22 Nov 2025 16:43:13 -0500 Subject: [PATCH 20/89] Add Cohere reranker config, chunking, and tests --- env.example | 3 + examples/rerank_example.py | 13 +- lightrag/api/lightrag_server.py | 30 ++- lightrag/rerank.py | 208 ++++++++++++++++- tests/test_rerank_chunking.py | 386 ++++++++++++++++++++++++++++++++ 5 files changed, 620 insertions(+), 20 deletions(-) create mode 100644 tests/test_rerank_chunking.py diff --git a/env.example b/env.example index fea99953..c8419961 100644 --- a/env.example +++ b/env.example @@ -102,6 +102,9 @@ RERANK_BINDING=null # RERANK_MODEL=rerank-v3.5 # RERANK_BINDING_HOST=https://api.cohere.com/v2/rerank # RERANK_BINDING_API_KEY=your_rerank_api_key_here +### Cohere rerank chunking configuration (useful for models with token limits like ColBERT) +# RERANK_ENABLE_CHUNKING=true +# RERANK_MAX_TOKENS_PER_DOC=480 ### Default value for Jina AI # RERANK_MODEL=jina-reranker-v2-base-multilingual diff --git a/examples/rerank_example.py b/examples/rerank_example.py index da3d0efe..889cffe8 100644 --- a/examples/rerank_example.py +++ b/examples/rerank_example.py @@ -15,9 +15,12 @@ Configuration Required: EMBEDDING_BINDING_HOST EMBEDDING_BINDING_API_KEY 3. Set your vLLM deployed AI rerank model setting with env vars: - RERANK_MODEL - RERANK_BINDING_HOST + RERANK_BINDING=cohere + RERANK_MODEL (e.g., answerai-colbert-small-v1 or rerank-v3.5) + RERANK_BINDING_HOST (e.g., https://api.cohere.com/v2/rerank or LiteLLM proxy) RERANK_BINDING_API_KEY + RERANK_ENABLE_CHUNKING=true (optional, for models with token limits) + RERANK_MAX_TOKENS_PER_DOC=480 (optional, default 4096) Note: Rerank is controlled per query via the 'enable_rerank' parameter (default: True) """ @@ -66,9 +69,11 @@ async def embedding_func(texts: list[str]) -> np.ndarray: rerank_model_func = partial( cohere_rerank, - model=os.getenv("RERANK_MODEL"), + model=os.getenv("RERANK_MODEL", "rerank-v3.5"), api_key=os.getenv("RERANK_BINDING_API_KEY"), - base_url=os.getenv("RERANK_BINDING_HOST"), + base_url=os.getenv("RERANK_BINDING_HOST", "https://api.cohere.com/v2/rerank"), + enable_chunking=os.getenv("RERANK_ENABLE_CHUNKING", "false").lower() == "true", + max_tokens_per_doc=int(os.getenv("RERANK_MAX_TOKENS_PER_DOC", "4096")), ) diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py index b29e39b2..0be5d9de 100644 --- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -967,15 +967,27 @@ def create_app(args): query: str, documents: list, top_n: int = None, extra_body: dict = None ): """Server rerank function with configuration from environment variables""" - return await selected_rerank_func( - query=query, - documents=documents, - top_n=top_n, - api_key=args.rerank_binding_api_key, - model=args.rerank_model, - base_url=args.rerank_binding_host, - extra_body=extra_body, - ) + # Prepare kwargs for rerank function + kwargs = { + "query": query, + "documents": documents, + "top_n": top_n, + "api_key": args.rerank_binding_api_key, + "model": args.rerank_model, + "base_url": args.rerank_binding_host, + } + + # Add Cohere-specific parameters if using cohere binding + if args.rerank_binding == "cohere": + # Enable chunking if configured (useful for models with token limits like ColBERT) + kwargs["enable_chunking"] = ( + os.getenv("RERANK_ENABLE_CHUNKING", "false").lower() == "true" + ) + kwargs["max_tokens_per_doc"] = int( + os.getenv("RERANK_MAX_TOKENS_PER_DOC", "4096") + ) + + return await selected_rerank_func(**kwargs, extra_body=extra_body) rerank_model_func = server_rerank_func logger.info( diff --git a/lightrag/rerank.py b/lightrag/rerank.py index 35551f5a..b3892d56 100644 --- a/lightrag/rerank.py +++ b/lightrag/rerank.py @@ -2,7 +2,7 @@ from __future__ import annotations import os import aiohttp -from typing import Any, List, Dict, Optional +from typing import Any, List, Dict, Optional, Tuple from tenacity import ( retry, stop_after_attempt, @@ -19,6 +19,146 @@ from dotenv import load_dotenv load_dotenv(dotenv_path=".env", override=False) +def chunk_documents_for_rerank( + documents: List[str], + max_tokens: int = 480, + overlap_tokens: int = 32, + tokenizer_model: str = "gpt-4o-mini", +) -> Tuple[List[str], List[int]]: + """ + Chunk documents that exceed token limit for reranking. + + Args: + documents: List of document strings to chunk + max_tokens: Maximum tokens per chunk (default 480 to leave margin for 512 limit) + overlap_tokens: Number of tokens to overlap between chunks + tokenizer_model: Model name for tiktoken tokenizer + + Returns: + Tuple of (chunked_documents, original_doc_indices) + - chunked_documents: List of document chunks (may be more than input) + - original_doc_indices: Maps each chunk back to its original document index + """ + try: + from .utils import TiktokenTokenizer + + tokenizer = TiktokenTokenizer(model_name=tokenizer_model) + except Exception as e: + logger.warning( + f"Failed to initialize tokenizer: {e}. Using character-based approximation." + ) + # Fallback: approximate 1 token ≈ 4 characters + max_chars = max_tokens * 4 + overlap_chars = overlap_tokens * 4 + + chunked_docs = [] + doc_indices = [] + + for idx, doc in enumerate(documents): + if len(doc) <= max_chars: + chunked_docs.append(doc) + doc_indices.append(idx) + else: + # Split into overlapping chunks + start = 0 + while start < len(doc): + end = min(start + max_chars, len(doc)) + chunk = doc[start:end] + chunked_docs.append(chunk) + doc_indices.append(idx) + + if end >= len(doc): + break + start = end - overlap_chars + + return chunked_docs, doc_indices + + # Use tokenizer for accurate chunking + chunked_docs = [] + doc_indices = [] + + for idx, doc in enumerate(documents): + tokens = tokenizer.encode(doc) + + if len(tokens) <= max_tokens: + # Document fits in one chunk + chunked_docs.append(doc) + doc_indices.append(idx) + else: + # Split into overlapping chunks + start = 0 + while start < len(tokens): + end = min(start + max_tokens, len(tokens)) + chunk_tokens = tokens[start:end] + chunk_text = tokenizer.decode(chunk_tokens) + chunked_docs.append(chunk_text) + doc_indices.append(idx) + + if end >= len(tokens): + break + start = end - overlap_tokens + + return chunked_docs, doc_indices + + +def aggregate_chunk_scores( + chunk_results: List[Dict[str, Any]], + doc_indices: List[int], + num_original_docs: int, + aggregation: str = "max", +) -> List[Dict[str, Any]]: + """ + Aggregate rerank scores from document chunks back to original documents. + + Args: + chunk_results: Rerank results for chunks [{"index": chunk_idx, "relevance_score": score}, ...] + doc_indices: Maps each chunk index to original document index + num_original_docs: Total number of original documents + aggregation: Strategy for aggregating scores ("max", "mean", "first") + + Returns: + List of results for original documents [{"index": doc_idx, "relevance_score": score}, ...] + """ + # Group scores by original document index + doc_scores: Dict[int, List[float]] = {i: [] for i in range(num_original_docs)} + + for result in chunk_results: + chunk_idx = result["index"] + score = result["relevance_score"] + + if 0 <= chunk_idx < len(doc_indices): + original_doc_idx = doc_indices[chunk_idx] + doc_scores[original_doc_idx].append(score) + + # Aggregate scores + aggregated_results = [] + for doc_idx, scores in doc_scores.items(): + if not scores: + continue + + if aggregation == "max": + final_score = max(scores) + elif aggregation == "mean": + final_score = sum(scores) / len(scores) + elif aggregation == "first": + final_score = scores[0] + else: + logger.warning(f"Unknown aggregation strategy: {aggregation}, using max") + final_score = max(scores) + + aggregated_results.append( + { + "index": doc_idx, + "relevance_score": final_score, + } + ) + + # Sort by relevance score (descending) + aggregated_results.sort(key=lambda x: x["relevance_score"], reverse=True) + + return aggregated_results + + @retry( stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=60), @@ -38,6 +178,8 @@ async def generic_rerank_api( extra_body: Optional[Dict[str, Any]] = None, response_format: str = "standard", # "standard" (Jina/Cohere) or "aliyun" request_format: str = "standard", # "standard" (Jina/Cohere) or "aliyun" + enable_chunking: bool = False, + max_tokens_per_doc: int = 480, ) -> List[Dict[str, Any]]: """ Generic rerank API call for Jina/Cohere/Aliyun models. @@ -52,6 +194,9 @@ async def generic_rerank_api( return_documents: Whether to return document text (Jina only) extra_body: Additional body parameters response_format: Response format type ("standard" for Jina/Cohere, "aliyun" for Aliyun) + request_format: Request format type + enable_chunking: Whether to chunk documents exceeding token limit + max_tokens_per_doc: Maximum tokens per document for chunking Returns: List of dictionary of ["index": int, "relevance_score": float] @@ -63,6 +208,17 @@ async def generic_rerank_api( if api_key is not None: headers["Authorization"] = f"Bearer {api_key}" + # Handle document chunking if enabled + original_documents = documents + doc_indices = None + if enable_chunking: + documents, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=max_tokens_per_doc + ) + logger.debug( + f"Chunked {len(original_documents)} documents into {len(documents)} chunks" + ) + # Build request payload based on request format if request_format == "aliyun": # Aliyun format: nested input/parameters structure @@ -86,7 +242,7 @@ async def generic_rerank_api( if extra_body: payload["parameters"].update(extra_body) else: - # Standard format for Jina/Cohere + # Standard format for Jina/Cohere/OpenAI payload = { "model": model, "query": query, @@ -98,7 +254,7 @@ async def generic_rerank_api( payload["top_n"] = top_n # Only Jina API supports return_documents parameter - if return_documents is not None: + if return_documents is not None and response_format in ("standard",): payload["return_documents"] = return_documents # Add extra parameters @@ -147,7 +303,6 @@ async def generic_rerank_api( f"Expected 'output.results' to be list, got {type(results)}: {results}" ) results = [] - elif response_format == "standard": # Standard format: {"results": [...]} results = response_json.get("results", []) @@ -158,16 +313,28 @@ async def generic_rerank_api( results = [] else: raise ValueError(f"Unsupported response format: {response_format}") + if not results: logger.warning("Rerank API returned empty results") return [] # Standardize return format - return [ + standardized_results = [ {"index": result["index"], "relevance_score": result["relevance_score"]} for result in results ] + # Aggregate chunk scores back to original documents if chunking was enabled + if enable_chunking and doc_indices: + standardized_results = aggregate_chunk_scores( + standardized_results, + doc_indices, + len(original_documents), + aggregation="max", + ) + + return standardized_results + async def cohere_rerank( query: str, @@ -177,21 +344,46 @@ async def cohere_rerank( model: str = "rerank-v3.5", base_url: str = "https://api.cohere.com/v2/rerank", extra_body: Optional[Dict[str, Any]] = None, + enable_chunking: bool = False, + max_tokens_per_doc: int = 4096, ) -> List[Dict[str, Any]]: """ Rerank documents using Cohere API. + Supports both standard Cohere API and Cohere-compatible proxies + Args: query: The search query documents: List of strings to rerank top_n: Number of top results to return - api_key: API key - model: rerank model name + api_key: API key for authentication + model: rerank model name (default: rerank-v3.5) base_url: API endpoint extra_body: Additional body for http request(reserved for extra params) + enable_chunking: Whether to chunk documents exceeding max_tokens_per_doc + max_tokens_per_doc: Maximum tokens per document (default: 4096 for Cohere v3.5) Returns: List of dictionary of ["index": int, "relevance_score": float] + + Example: + >>> # Standard Cohere API + >>> results = await cohere_rerank( + ... query="What is the meaning of life?", + ... documents=["Doc1", "Doc2"], + ... api_key="your-cohere-key" + ... ) + + >>> # LiteLLM proxy with user authentication + >>> results = await cohere_rerank( + ... query="What is vector search?", + ... documents=["Doc1", "Doc2"], + ... model="answerai-colbert-small-v1", + ... base_url="https://llm-proxy.example.com/v2/rerank", + ... api_key="your-proxy-key", + ... enable_chunking=True, + ... max_tokens_per_doc=480 + ... ) """ if api_key is None: api_key = os.getenv("COHERE_API_KEY") or os.getenv("RERANK_BINDING_API_KEY") @@ -206,6 +398,8 @@ async def cohere_rerank( return_documents=None, # Cohere doesn't support this parameter extra_body=extra_body, response_format="standard", + enable_chunking=enable_chunking, + max_tokens_per_doc=max_tokens_per_doc, ) diff --git a/tests/test_rerank_chunking.py b/tests/test_rerank_chunking.py new file mode 100644 index 00000000..f31331d2 --- /dev/null +++ b/tests/test_rerank_chunking.py @@ -0,0 +1,386 @@ +""" +Unit tests for rerank document chunking functionality. + +Tests the chunk_documents_for_rerank and aggregate_chunk_scores functions +in lightrag/rerank.py to ensure proper document splitting and score aggregation. +""" + +import pytest +from unittest.mock import Mock, patch, AsyncMock +from lightrag.rerank import ( + chunk_documents_for_rerank, + aggregate_chunk_scores, + cohere_rerank, +) + + +class TestChunkDocumentsForRerank: + """Test suite for chunk_documents_for_rerank function""" + + def test_no_chunking_needed_for_short_docs(self): + """Documents shorter than max_tokens should not be chunked""" + documents = [ + "Short doc 1", + "Short doc 2", + "Short doc 3", + ] + + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=100, overlap_tokens=10 + ) + + # No chunking should occur + assert len(chunked_docs) == 3 + assert chunked_docs == documents + assert doc_indices == [0, 1, 2] + + def test_chunking_with_character_fallback(self): + """Test chunking falls back to character-based when tokenizer unavailable""" + # Create a very long document that exceeds character limit + long_doc = "a" * 2000 # 2000 characters + documents = [long_doc, "short doc"] + + with patch("lightrag.rerank.TiktokenTokenizer", side_effect=ImportError): + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, + max_tokens=100, # 100 tokens = ~400 chars + overlap_tokens=10, # 10 tokens = ~40 chars + ) + + # First doc should be split into chunks, second doc stays whole + assert len(chunked_docs) > 2 # At least one chunk from first doc + second doc + assert chunked_docs[-1] == "short doc" # Last chunk is the short doc + # Verify doc_indices maps chunks to correct original document + assert doc_indices[-1] == 1 # Last chunk maps to document 1 + + def test_chunking_with_tiktoken_tokenizer(self): + """Test chunking with actual tokenizer""" + # Create document with known token count + # Approximate: "word " = ~1 token, so 200 words ~ 200 tokens + long_doc = " ".join([f"word{i}" for i in range(200)]) + documents = [long_doc, "short"] + + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=50, overlap_tokens=10 + ) + + # Long doc should be split, short doc should remain + assert len(chunked_docs) > 2 + assert doc_indices[-1] == 1 # Last chunk is from second document + + # Verify overlapping chunks contain overlapping content + if len(chunked_docs) > 2: + # Check that consecutive chunks from same doc have some overlap + for i in range(len(doc_indices) - 1): + if doc_indices[i] == doc_indices[i + 1] == 0: + # Both chunks from first doc, should have overlap + chunk1_words = chunked_docs[i].split() + chunk2_words = chunked_docs[i + 1].split() + # At least one word should be common due to overlap + assert any(word in chunk2_words for word in chunk1_words[-5:]) + + def test_empty_documents(self): + """Test handling of empty document list""" + documents = [] + chunked_docs, doc_indices = chunk_documents_for_rerank(documents) + + assert chunked_docs == [] + assert doc_indices == [] + + def test_single_document_chunking(self): + """Test chunking of a single long document""" + # Create document with ~100 tokens + long_doc = " ".join([f"token{i}" for i in range(100)]) + documents = [long_doc] + + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=30, overlap_tokens=5 + ) + + # Should create multiple chunks + assert len(chunked_docs) > 1 + # All chunks should map to document 0 + assert all(idx == 0 for idx in doc_indices) + + +class TestAggregateChunkScores: + """Test suite for aggregate_chunk_scores function""" + + def test_no_chunking_simple_aggregation(self): + """Test aggregation when no chunking occurred (1:1 mapping)""" + chunk_results = [ + {"index": 0, "relevance_score": 0.9}, + {"index": 1, "relevance_score": 0.7}, + {"index": 2, "relevance_score": 0.5}, + ] + doc_indices = [0, 1, 2] # 1:1 mapping + num_original_docs = 3 + + aggregated = aggregate_chunk_scores( + chunk_results, doc_indices, num_original_docs, aggregation="max" + ) + + # Results should be sorted by score + assert len(aggregated) == 3 + assert aggregated[0]["index"] == 0 + assert aggregated[0]["relevance_score"] == 0.9 + assert aggregated[1]["index"] == 1 + assert aggregated[1]["relevance_score"] == 0.7 + assert aggregated[2]["index"] == 2 + assert aggregated[2]["relevance_score"] == 0.5 + + def test_max_aggregation_with_chunks(self): + """Test max aggregation strategy with multiple chunks per document""" + # 5 chunks: first 3 from doc 0, last 2 from doc 1 + chunk_results = [ + {"index": 0, "relevance_score": 0.5}, + {"index": 1, "relevance_score": 0.8}, + {"index": 2, "relevance_score": 0.6}, + {"index": 3, "relevance_score": 0.7}, + {"index": 4, "relevance_score": 0.4}, + ] + doc_indices = [0, 0, 0, 1, 1] + num_original_docs = 2 + + aggregated = aggregate_chunk_scores( + chunk_results, doc_indices, num_original_docs, aggregation="max" + ) + + # Should take max score for each document + assert len(aggregated) == 2 + assert aggregated[0]["index"] == 0 + assert aggregated[0]["relevance_score"] == 0.8 # max of 0.5, 0.8, 0.6 + assert aggregated[1]["index"] == 1 + assert aggregated[1]["relevance_score"] == 0.7 # max of 0.7, 0.4 + + def test_mean_aggregation_with_chunks(self): + """Test mean aggregation strategy""" + chunk_results = [ + {"index": 0, "relevance_score": 0.6}, + {"index": 1, "relevance_score": 0.8}, + {"index": 2, "relevance_score": 0.4}, + ] + doc_indices = [0, 0, 1] # First two chunks from doc 0, last from doc 1 + num_original_docs = 2 + + aggregated = aggregate_chunk_scores( + chunk_results, doc_indices, num_original_docs, aggregation="mean" + ) + + assert len(aggregated) == 2 + assert aggregated[0]["index"] == 0 + assert aggregated[0]["relevance_score"] == pytest.approx(0.7) # (0.6 + 0.8) / 2 + assert aggregated[1]["index"] == 1 + assert aggregated[1]["relevance_score"] == 0.4 + + def test_first_aggregation_with_chunks(self): + """Test first aggregation strategy""" + chunk_results = [ + {"index": 0, "relevance_score": 0.6}, + {"index": 1, "relevance_score": 0.8}, + {"index": 2, "relevance_score": 0.4}, + ] + doc_indices = [0, 0, 1] + num_original_docs = 2 + + aggregated = aggregate_chunk_scores( + chunk_results, doc_indices, num_original_docs, aggregation="first" + ) + + assert len(aggregated) == 2 + # First should use first score seen for each doc + assert aggregated[0]["index"] == 0 + assert aggregated[0]["relevance_score"] == 0.6 # First score for doc 0 + assert aggregated[1]["index"] == 1 + assert aggregated[1]["relevance_score"] == 0.4 + + def test_empty_chunk_results(self): + """Test handling of empty results""" + aggregated = aggregate_chunk_scores([], [], 3, aggregation="max") + assert aggregated == [] + + def test_documents_with_no_scores(self): + """Test when some documents have no chunks/scores""" + chunk_results = [ + {"index": 0, "relevance_score": 0.9}, + {"index": 1, "relevance_score": 0.7}, + ] + doc_indices = [0, 0] # Both chunks from document 0 + num_original_docs = 3 # But we have 3 documents total + + aggregated = aggregate_chunk_scores( + chunk_results, doc_indices, num_original_docs, aggregation="max" + ) + + # Only doc 0 should appear in results + assert len(aggregated) == 1 + assert aggregated[0]["index"] == 0 + + def test_unknown_aggregation_strategy(self): + """Test that unknown strategy falls back to max""" + chunk_results = [ + {"index": 0, "relevance_score": 0.6}, + {"index": 1, "relevance_score": 0.8}, + ] + doc_indices = [0, 0] + num_original_docs = 1 + + # Use invalid strategy + aggregated = aggregate_chunk_scores( + chunk_results, doc_indices, num_original_docs, aggregation="invalid" + ) + + # Should fall back to max + assert aggregated[0]["relevance_score"] == 0.8 + + +@pytest.mark.offline +class TestCohereRerankChunking: + """Integration tests for cohere_rerank with chunking enabled""" + + @pytest.mark.asyncio + async def test_cohere_rerank_with_chunking_disabled(self): + """Test that chunking can be disabled""" + documents = ["doc1", "doc2"] + query = "test query" + + # Mock the generic_rerank_api + with patch( + "lightrag.rerank.generic_rerank_api", new_callable=AsyncMock + ) as mock_api: + mock_api.return_value = [ + {"index": 0, "relevance_score": 0.9}, + {"index": 1, "relevance_score": 0.7}, + ] + + result = await cohere_rerank( + query=query, + documents=documents, + api_key="test-key", + enable_chunking=False, + max_tokens_per_doc=100, + ) + + # Verify generic_rerank_api was called with correct parameters + mock_api.assert_called_once() + call_kwargs = mock_api.call_args[1] + assert call_kwargs["enable_chunking"] is False + assert call_kwargs["max_tokens_per_doc"] == 100 + # Result should mirror mocked scores + assert len(result) == 2 + assert result[0]["index"] == 0 + assert result[0]["relevance_score"] == 0.9 + assert result[1]["index"] == 1 + assert result[1]["relevance_score"] == 0.7 + + @pytest.mark.asyncio + async def test_cohere_rerank_with_chunking_enabled(self): + """Test that chunking parameters are passed through""" + documents = ["doc1", "doc2"] + query = "test query" + + with patch( + "lightrag.rerank.generic_rerank_api", new_callable=AsyncMock + ) as mock_api: + mock_api.return_value = [ + {"index": 0, "relevance_score": 0.9}, + {"index": 1, "relevance_score": 0.7}, + ] + + result = await cohere_rerank( + query=query, + documents=documents, + api_key="test-key", + enable_chunking=True, + max_tokens_per_doc=480, + ) + + # Verify parameters were passed + call_kwargs = mock_api.call_args[1] + assert call_kwargs["enable_chunking"] is True + assert call_kwargs["max_tokens_per_doc"] == 480 + # Result should mirror mocked scores + assert len(result) == 2 + assert result[0]["index"] == 0 + assert result[0]["relevance_score"] == 0.9 + assert result[1]["index"] == 1 + assert result[1]["relevance_score"] == 0.7 + + @pytest.mark.asyncio + async def test_cohere_rerank_default_parameters(self): + """Test default parameter values for cohere_rerank""" + documents = ["doc1"] + query = "test" + + with patch( + "lightrag.rerank.generic_rerank_api", new_callable=AsyncMock + ) as mock_api: + mock_api.return_value = [{"index": 0, "relevance_score": 0.9}] + + result = await cohere_rerank( + query=query, documents=documents, api_key="test-key" + ) + + # Verify default values + call_kwargs = mock_api.call_args[1] + assert call_kwargs["enable_chunking"] is False + assert call_kwargs["max_tokens_per_doc"] == 4096 + assert call_kwargs["model"] == "rerank-v3.5" + # Result should mirror mocked scores + assert len(result) == 1 + assert result[0]["index"] == 0 + assert result[0]["relevance_score"] == 0.9 + + +@pytest.mark.offline +class TestEndToEndChunking: + """End-to-end tests for chunking workflow""" + + @pytest.mark.asyncio + async def test_end_to_end_chunking_workflow(self): + """Test complete chunking workflow from documents to aggregated results""" + # Create documents where first one needs chunking + long_doc = " ".join([f"word{i}" for i in range(100)]) + documents = [long_doc, "short doc"] + query = "test query" + + # Mock the HTTP call inside generic_rerank_api + mock_response = Mock() + mock_response.status = 200 + mock_response.json = AsyncMock( + return_value={ + "results": [ + {"index": 0, "relevance_score": 0.5}, # chunk 0 from doc 0 + {"index": 1, "relevance_score": 0.8}, # chunk 1 from doc 0 + {"index": 2, "relevance_score": 0.6}, # chunk 2 from doc 0 + {"index": 3, "relevance_score": 0.7}, # doc 1 (short) + ] + } + ) + mock_response.request_info = None + mock_response.history = None + mock_response.headers = {} + + mock_session = Mock() + mock_session.post = AsyncMock(return_value=mock_response) + mock_session.__aenter__ = AsyncMock(return_value=mock_session) + mock_session.__aexit__ = AsyncMock() + + with patch("aiohttp.ClientSession", return_value=mock_session): + result = await cohere_rerank( + query=query, + documents=documents, + api_key="test-key", + base_url="http://test.com/rerank", + enable_chunking=True, + max_tokens_per_doc=30, # Force chunking of long doc + ) + + # Should get 2 results (one per original document) + # The long doc's chunks should be aggregated + assert len(result) <= len(documents) + # Results should be sorted by score + assert all( + result[i]["relevance_score"] >= result[i + 1]["relevance_score"] + for i in range(len(result) - 1) + ) From c233da6318383d92f21cf6710b7ed75022f1b1af Mon Sep 17 00:00:00 2001 From: palanisd <162479981+netbrah@users.noreply.github.com> Date: Sun, 23 Nov 2025 17:42:04 -0500 Subject: [PATCH 21/89] Update copilot-setup-steps.yml --- .github/workflows/copilot-setup-steps.yml | 8 -------- 1 file changed, 8 deletions(-) diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml index 5ebf5e43..6b946ed1 100644 --- a/.github/workflows/copilot-setup-steps.yml +++ b/.github/workflows/copilot-setup-steps.yml @@ -16,14 +16,6 @@ jobs: copilot-setup-steps: runs-on: ubuntu-latest - # Set the permissions to the lowest permissions possible needed for your steps. - # Copilot will be given its own token for its operations. - permissions: - # If you want to clone the repository as part of your setup steps, for example to install dependencies, - # you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, - # Copilot will do this for you automatically after the steps complete. - contents: read - # Timeout after 30 minutes (maximum is 59) timeout-minutes: 30 From e136da968bded7c2cc0b772ce0a383d891a3c19c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 24 Nov 2025 03:33:26 +0000 Subject: [PATCH 22/89] Initial plan From 1d6ea0c5f7dd48d6f2c1e9ea0cafeb54478c490d Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 24 Nov 2025 03:40:58 +0000 Subject: [PATCH 23/89] Fix chunking infinite loop when overlap_tokens >= max_tokens Co-authored-by: netbrah <162479981+netbrah@users.noreply.github.com> --- lightrag/rerank.py | 10 ++++ tests/test_overlap_validation.py | 100 +++++++++++++++++++++++++++++++ 2 files changed, 110 insertions(+) create mode 100644 tests/test_overlap_validation.py diff --git a/lightrag/rerank.py b/lightrag/rerank.py index b3892d56..1b5d7612 100644 --- a/lightrag/rerank.py +++ b/lightrag/rerank.py @@ -39,6 +39,16 @@ def chunk_documents_for_rerank( - chunked_documents: List of document chunks (may be more than input) - original_doc_indices: Maps each chunk back to its original document index """ + # Clamp overlap_tokens to ensure the loop always advances + # If overlap_tokens >= max_tokens, the chunking loop would hang + if overlap_tokens >= max_tokens: + original_overlap = overlap_tokens + overlap_tokens = max(1, max_tokens - 1) + logger.warning( + f"overlap_tokens ({original_overlap}) must be less than max_tokens ({max_tokens}). " + f"Clamping to {overlap_tokens} to prevent infinite loop." + ) + try: from .utils import TiktokenTokenizer diff --git a/tests/test_overlap_validation.py b/tests/test_overlap_validation.py new file mode 100644 index 00000000..da364719 --- /dev/null +++ b/tests/test_overlap_validation.py @@ -0,0 +1,100 @@ +""" +Test for overlap_tokens validation to prevent infinite loop. + +This test validates the fix for the bug where overlap_tokens >= max_tokens +causes an infinite loop in the chunking function. +""" + +from lightrag.rerank import chunk_documents_for_rerank + + +class TestOverlapValidation: + """Test suite for overlap_tokens validation""" + + def test_overlap_greater_than_max_tokens(self): + """Test that overlap_tokens > max_tokens is clamped and doesn't hang""" + documents = [" ".join([f"word{i}" for i in range(100)])] + + # This should clamp overlap_tokens to 29 (max_tokens - 1) + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=30, overlap_tokens=32 + ) + + # Should complete without hanging + assert len(chunked_docs) > 0 + assert all(idx == 0 for idx in doc_indices) + + def test_overlap_equal_to_max_tokens(self): + """Test that overlap_tokens == max_tokens is clamped and doesn't hang""" + documents = [" ".join([f"word{i}" for i in range(100)])] + + # This should clamp overlap_tokens to 29 (max_tokens - 1) + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=30, overlap_tokens=30 + ) + + # Should complete without hanging + assert len(chunked_docs) > 0 + assert all(idx == 0 for idx in doc_indices) + + def test_overlap_slightly_less_than_max_tokens(self): + """Test that overlap_tokens < max_tokens works normally""" + documents = [" ".join([f"word{i}" for i in range(100)])] + + # This should work without clamping + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=30, overlap_tokens=29 + ) + + # Should complete successfully + assert len(chunked_docs) > 0 + assert all(idx == 0 for idx in doc_indices) + + def test_small_max_tokens_with_large_overlap(self): + """Test edge case with very small max_tokens""" + documents = [" ".join([f"word{i}" for i in range(50)])] + + # max_tokens=5, overlap_tokens=10 should clamp to 4 + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=5, overlap_tokens=10 + ) + + # Should complete without hanging + assert len(chunked_docs) > 0 + assert all(idx == 0 for idx in doc_indices) + + def test_multiple_documents_with_invalid_overlap(self): + """Test multiple documents with overlap_tokens >= max_tokens""" + documents = [ + " ".join([f"word{i}" for i in range(50)]), + "short document", + " ".join([f"word{i}" for i in range(75)]), + ] + + # overlap_tokens > max_tokens + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=25, overlap_tokens=30 + ) + + # Should complete successfully and chunk the long documents + assert len(chunked_docs) >= len(documents) + # Short document should not be chunked + assert "short document" in chunked_docs + + def test_normal_operation_unaffected(self): + """Test that normal cases continue to work correctly""" + documents = [ + " ".join([f"word{i}" for i in range(100)]), + "short doc", + ] + + # Normal case: overlap_tokens (10) < max_tokens (50) + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=50, overlap_tokens=10 + ) + + # Long document should be chunked, short one should not + assert len(chunked_docs) > 2 # At least 3 chunks (2 from long doc + 1 short) + assert "short doc" in chunked_docs + # Verify doc_indices maps correctly + assert doc_indices[-1] == 1 # Last chunk is from second document From 8835fc244a90017b8fc98f60017ae4e78e975c0b Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 24 Nov 2025 03:43:05 +0000 Subject: [PATCH 24/89] Improve edge case handling for max_tokens=1 Co-authored-by: netbrah <162479981+netbrah@users.noreply.github.com> --- lightrag/rerank.py | 4 +++- tests/test_overlap_validation.py | 13 +++++++++++++ 2 files changed, 16 insertions(+), 1 deletion(-) diff --git a/lightrag/rerank.py b/lightrag/rerank.py index 1b5d7612..81632b71 100644 --- a/lightrag/rerank.py +++ b/lightrag/rerank.py @@ -43,7 +43,9 @@ def chunk_documents_for_rerank( # If overlap_tokens >= max_tokens, the chunking loop would hang if overlap_tokens >= max_tokens: original_overlap = overlap_tokens - overlap_tokens = max(1, max_tokens - 1) + # Ensure overlap is at least 1 token less than max to guarantee progress + # For very small max_tokens (e.g., 1), set overlap to 0 + overlap_tokens = max(0, max_tokens - 1) logger.warning( f"overlap_tokens ({original_overlap}) must be less than max_tokens ({max_tokens}). " f"Clamping to {overlap_tokens} to prevent infinite loop." diff --git a/tests/test_overlap_validation.py b/tests/test_overlap_validation.py index da364719..7f84a3cf 100644 --- a/tests/test_overlap_validation.py +++ b/tests/test_overlap_validation.py @@ -98,3 +98,16 @@ class TestOverlapValidation: assert "short doc" in chunked_docs # Verify doc_indices maps correctly assert doc_indices[-1] == 1 # Last chunk is from second document + + def test_edge_case_max_tokens_one(self): + """Test edge case where max_tokens=1""" + documents = [" ".join([f"word{i}" for i in range(20)])] + + # max_tokens=1, overlap_tokens=5 should clamp to 0 + chunked_docs, doc_indices = chunk_documents_for_rerank( + documents, max_tokens=1, overlap_tokens=5 + ) + + # Should complete without hanging + assert len(chunked_docs) > 0 + assert all(idx == 0 for idx in doc_indices) From 7aaa51cda9a9b2bb4810e89e9b03cd42cb7eda85 Mon Sep 17 00:00:00 2001 From: yangdx Date: Mon, 24 Nov 2025 22:28:15 +0800 Subject: [PATCH 25/89] Add retry decorators to Neo4j read operations for resilience --- lightrag/kg/neo4j_impl.py | 140 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 140 insertions(+) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index 256656d8..d3d6c4eb 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -352,6 +352,20 @@ class Neo4JStorage(BaseGraphStorage): # Neo4J handles persistence automatically pass + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def has_node(self, node_id: str) -> bool: """ Check if a node with the given label exists in the database @@ -385,6 +399,20 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() # Ensure results are consumed even on error raise + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """ Check if an edge exists between two nodes @@ -426,6 +454,20 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() # Ensure results are consumed even on error raise + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def get_node(self, node_id: str) -> dict[str, str] | None: """Get node by its label identifier, return only node properties @@ -479,6 +521,20 @@ class Neo4JStorage(BaseGraphStorage): ) raise + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def get_nodes_batch(self, node_ids: list[str]) -> dict[str, dict]: """ Retrieve multiple nodes in one query using UNWIND. @@ -515,6 +571,20 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() # Make sure to consume the result fully return nodes + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def node_degree(self, node_id: str) -> int: """Get the degree (number of relationships) of a node with the given label. If multiple nodes have the same label, returns the degree of the first node. @@ -563,6 +633,20 @@ class Neo4JStorage(BaseGraphStorage): ) raise + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def node_degrees_batch(self, node_ids: list[str]) -> dict[str, int]: """ Retrieve the degree for multiple nodes in a single query using UNWIND. @@ -647,6 +731,20 @@ class Neo4JStorage(BaseGraphStorage): edge_degrees[(src, tgt)] = degrees.get(src, 0) + degrees.get(tgt, 0) return edge_degrees + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def get_edge( self, source_node_id: str, target_node_id: str ) -> dict[str, str] | None: @@ -734,6 +832,20 @@ class Neo4JStorage(BaseGraphStorage): ) raise + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def get_edges_batch( self, pairs: list[dict[str, str]] ) -> dict[tuple[str, str], dict]: @@ -784,6 +896,20 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() return edges_dict + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def get_node_edges(self, source_node_id: str) -> list[tuple[str, str]] | None: """Retrieves all edges (relationships) for a particular node identified by its label. @@ -851,6 +977,20 @@ class Neo4JStorage(BaseGraphStorage): ) raise + @retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type( + ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, + ) + ), + ) async def get_nodes_edges_batch( self, node_ids: list[str] ) -> dict[str, list[tuple[str, str]]]: From 8c4d7a00ad28b0b7b3cdebda3a4405c30cf59e2c Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 25 Nov 2025 01:35:21 +0800 Subject: [PATCH 26/89] Refactor: Extract retry decorator to reduce code duplication in Neo4J storage MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Define READ_RETRY_EXCEPTIONS constant • Create reusable READ_RETRY decorator • Replace 11 duplicate retry decorators • Improve code maintainability • Add missing retry to edge_degrees_batch --- lightrag/kg/neo4j_impl.py | 168 +++++++------------------------------- 1 file changed, 28 insertions(+), 140 deletions(-) diff --git a/lightrag/kg/neo4j_impl.py b/lightrag/kg/neo4j_impl.py index d3d6c4eb..38320643 100644 --- a/lightrag/kg/neo4j_impl.py +++ b/lightrag/kg/neo4j_impl.py @@ -44,6 +44,23 @@ config.read("config.ini", "utf-8") logging.getLogger("neo4j").setLevel(logging.ERROR) +READ_RETRY_EXCEPTIONS = ( + neo4jExceptions.ServiceUnavailable, + neo4jExceptions.TransientError, + neo4jExceptions.SessionExpired, + ConnectionResetError, + OSError, + AttributeError, +) + +READ_RETRY = retry( + stop=stop_after_attempt(3), + wait=wait_exponential(multiplier=1, min=4, max=10), + retry=retry_if_exception_type(READ_RETRY_EXCEPTIONS), + reraise=True, +) + + @final @dataclass class Neo4JStorage(BaseGraphStorage): @@ -352,20 +369,7 @@ class Neo4JStorage(BaseGraphStorage): # Neo4J handles persistence automatically pass - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def has_node(self, node_id: str) -> bool: """ Check if a node with the given label exists in the database @@ -399,20 +403,7 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() # Ensure results are consumed even on error raise - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def has_edge(self, source_node_id: str, target_node_id: str) -> bool: """ Check if an edge exists between two nodes @@ -454,20 +445,7 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() # Ensure results are consumed even on error raise - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def get_node(self, node_id: str) -> dict[str, str] | None: """Get node by its label identifier, return only node properties @@ -521,20 +499,7 @@ class Neo4JStorage(BaseGraphStorage): ) raise - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def get_nodes_batch(self, node_ids: list[str]) -> dict[str, dict]: """ Retrieve multiple nodes in one query using UNWIND. @@ -571,20 +536,7 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() # Make sure to consume the result fully return nodes - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def node_degree(self, node_id: str) -> int: """Get the degree (number of relationships) of a node with the given label. If multiple nodes have the same label, returns the degree of the first node. @@ -633,20 +585,7 @@ class Neo4JStorage(BaseGraphStorage): ) raise - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def node_degrees_batch(self, node_ids: list[str]) -> dict[str, int]: """ Retrieve the degree for multiple nodes in a single query using UNWIND. @@ -705,6 +644,7 @@ class Neo4JStorage(BaseGraphStorage): degrees = int(src_degree) + int(trg_degree) return degrees + @READ_RETRY async def edge_degrees_batch( self, edge_pairs: list[tuple[str, str]] ) -> dict[tuple[str, str], int]: @@ -731,20 +671,7 @@ class Neo4JStorage(BaseGraphStorage): edge_degrees[(src, tgt)] = degrees.get(src, 0) + degrees.get(tgt, 0) return edge_degrees - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def get_edge( self, source_node_id: str, target_node_id: str ) -> dict[str, str] | None: @@ -832,20 +759,7 @@ class Neo4JStorage(BaseGraphStorage): ) raise - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def get_edges_batch( self, pairs: list[dict[str, str]] ) -> dict[tuple[str, str], dict]: @@ -896,20 +810,7 @@ class Neo4JStorage(BaseGraphStorage): await result.consume() return edges_dict - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def get_node_edges(self, source_node_id: str) -> list[tuple[str, str]] | None: """Retrieves all edges (relationships) for a particular node identified by its label. @@ -977,20 +878,7 @@ class Neo4JStorage(BaseGraphStorage): ) raise - @retry( - stop=stop_after_attempt(3), - wait=wait_exponential(multiplier=1, min=4, max=10), - retry=retry_if_exception_type( - ( - neo4jExceptions.ServiceUnavailable, - neo4jExceptions.TransientError, - neo4jExceptions.SessionExpired, - ConnectionResetError, - OSError, - AttributeError, - ) - ), - ) + @READ_RETRY async def get_nodes_edges_batch( self, node_ids: list[str] ) -> dict[str, list[tuple[str, str]]]: From 5f91063c7a8bb77673a1803637ad57cc8e04d3ce Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 25 Nov 2025 02:03:28 +0800 Subject: [PATCH 27/89] Add ruff as dependency to pytest and evaluation extras --- pyproject.toml | 4 +++- uv.lock | 30 ++++++++++++++++++++++++++++++ 2 files changed, 33 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 8d48b5df..31667ab9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -47,6 +47,7 @@ pytest = [ "pytest>=8.4.2", "pytest-asyncio>=1.2.0", "pre-commit", + "ruff", ] api = [ @@ -132,10 +133,11 @@ offline = [ ] evaluation = [ - # Test framework dependencies (for evaluation) + # Test framework dependencies "pytest>=8.4.2", "pytest-asyncio>=1.2.0", "pre-commit", + "ruff", # RAG evaluation dependencies (RAGAS framework) "ragas>=0.3.7", "datasets>=4.3.0", diff --git a/uv.lock b/uv.lock index a4f17ab4..fb483760 100644 --- a/uv.lock +++ b/uv.lock @@ -2615,6 +2615,7 @@ evaluation = [ { name = "pytest" }, { name = "pytest-asyncio" }, { name = "ragas" }, + { name = "ruff" }, ] observability = [ { name = "langfuse" }, @@ -2700,6 +2701,7 @@ pytest = [ { name = "pre-commit" }, { name = "pytest" }, { name = "pytest-asyncio" }, + { name = "ruff" }, ] [package.metadata] @@ -2778,6 +2780,8 @@ requires-dist = [ { name = "qdrant-client", marker = "extra == 'offline-storage'", specifier = ">=1.11.0,<2.0.0" }, { name = "ragas", marker = "extra == 'evaluation'", specifier = ">=0.3.7" }, { name = "redis", marker = "extra == 'offline-storage'", specifier = ">=5.0.0,<8.0.0" }, + { name = "ruff", marker = "extra == 'evaluation'" }, + { name = "ruff", marker = "extra == 'pytest'" }, { name = "setuptools" }, { name = "setuptools", marker = "extra == 'api'" }, { name = "tenacity" }, @@ -5637,6 +5641,32 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3f/50/0a9e7e7afe7339bd5e36911f0ceb15fed51945836ed803ae5afd661057fd/rtree-1.4.1-py3-none-win_arm64.whl", hash = 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--- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -159,19 +159,22 @@ def check_frontend_build(): """Check if frontend is built and optionally check if source is up-to-date Returns: - bool: True if frontend is outdated, False if up-to-date or production environment + tuple: (assets_exist: bool, is_outdated: bool) + - assets_exist: True if WebUI build files exist + - is_outdated: True if source is newer than build (only in dev environment) """ webui_dir = Path(__file__).parent / "webui" index_html = webui_dir / "index.html" - # 1. Check if build files exist (required) + # 1. Check if build files exist if not index_html.exists(): - ASCIIColors.red("\n" + "=" * 80) - ASCIIColors.red("ERROR: Frontend Not Built") - ASCIIColors.red("=" * 80) + ASCIIColors.yellow("\n" + "=" * 80) + ASCIIColors.yellow("WARNING: Frontend Not Built") + ASCIIColors.yellow("=" * 80) ASCIIColors.yellow("The WebUI frontend has not been built yet.") + ASCIIColors.yellow("The API server will start without the WebUI interface.") ASCIIColors.yellow( - "Please build the frontend code first using the following commands:\n" + "\nTo enable WebUI, build the frontend using these commands:\n" ) ASCIIColors.cyan(" cd lightrag_webui") ASCIIColors.cyan(" bun install --frozen-lockfile") @@ -181,8 +184,8 @@ def check_frontend_build(): ASCIIColors.cyan( "Note: Make sure you have Bun installed. Visit https://bun.sh for installation." ) - ASCIIColors.red("=" * 80 + "\n") - sys.exit(1) # Exit immediately + ASCIIColors.yellow("=" * 80 + "\n") + return (False, False) # Assets don't exist, not outdated # 2. Check if this is a development environment (source directory exists) try: @@ -195,7 +198,7 @@ def check_frontend_build(): logger.debug( "Production environment detected, skipping source freshness check" ) - return False + return (True, False) # Assets exist, not outdated (prod environment) # Development environment, perform source code timestamp check logger.debug("Development environment detected, checking source freshness") @@ -270,20 +273,20 @@ def check_frontend_build(): ASCIIColors.cyan(" cd ..") ASCIIColors.yellow("\nThe server will continue with the current build.") ASCIIColors.yellow("=" * 80 + "\n") - return True # Frontend is outdated + return (True, True) # Assets exist, outdated else: logger.info("Frontend build is up-to-date") - return False # Frontend is up-to-date + return (True, False) # Assets exist, up-to-date except Exception as e: # If check fails, log warning but don't affect startup logger.warning(f"Failed to check frontend source freshness: {e}") - return False # Assume up-to-date on error + return (True, False) # Assume assets exist and up-to-date on error def create_app(args): - # Check frontend build first and get outdated status - is_frontend_outdated = check_frontend_build() + # Check frontend build first and get status + webui_assets_exist, is_frontend_outdated = check_frontend_build() # Create unified API version display with warning symbol if frontend is outdated api_version_display = ( @@ -1067,8 +1070,11 @@ def create_app(args): @app.get("/") async def redirect_to_webui(): - """Redirect root path to /webui""" - return RedirectResponse(url="/webui") + """Redirect root path based on WebUI availability""" + if webui_assets_exist: + return RedirectResponse(url="/webui") + else: + return RedirectResponse(url="/docs") @app.get("/auth-status") async def get_auth_status(): @@ -1135,9 +1141,41 @@ def create_app(args): "webui_description": webui_description, } - @app.get("/health", dependencies=[Depends(combined_auth)]) + @app.get( + "/health", + dependencies=[Depends(combined_auth)], + summary="Get system health and configuration status", + description="Returns comprehensive system status including WebUI availability, configuration, and operational metrics", + response_description="System health status with configuration details", + responses={ + 200: { + "description": "Successful response with system status", + "content": { + "application/json": { + "example": { + "status": "healthy", + "webui_available": True, + "working_directory": "/path/to/working/dir", + "input_directory": "/path/to/input/dir", + "configuration": { + "llm_binding": "openai", + "llm_model": "gpt-4", + "embedding_binding": "openai", + "embedding_model": "text-embedding-ada-002", + "workspace": "default", + }, + "auth_mode": "enabled", + "pipeline_busy": False, + "core_version": "0.0.1", + "api_version": "0.0.1", + } + } + }, + } + }, + ) async def get_status(request: Request): - """Get current system status""" + """Get current system status including WebUI availability""" try: workspace = get_workspace_from_request(request) default_workspace = get_default_workspace() @@ -1157,6 +1195,7 @@ def create_app(args): return { "status": "healthy", + "webui_available": webui_assets_exist, "working_directory": str(args.working_dir), "input_directory": str(args.input_dir), "configuration": { @@ -1246,16 +1285,27 @@ def create_app(args): name="swagger-ui-static", ) - # Webui mount webui/index.html - static_dir = Path(__file__).parent / "webui" - static_dir.mkdir(exist_ok=True) - app.mount( - "/webui", - SmartStaticFiles( - directory=static_dir, html=True, check_dir=True - ), # Use SmartStaticFiles - name="webui", - ) + # Conditionally mount WebUI only if assets exist + if webui_assets_exist: + static_dir = Path(__file__).parent / "webui" + static_dir.mkdir(exist_ok=True) + app.mount( + "/webui", + SmartStaticFiles( + directory=static_dir, html=True, check_dir=True + ), # Use SmartStaticFiles + name="webui", + ) + logger.info("WebUI assets mounted at /webui") + else: + logger.info("WebUI assets not available, /webui route not mounted") + + # Add redirect for /webui when assets are not available + @app.get("/webui") + @app.get("/webui/") + async def webui_redirect_to_docs(): + """Redirect /webui to /docs when WebUI is not available""" + return RedirectResponse(url="/docs") return app From 8994c70f2f6590e5048eb68e2ff89ae7de0e8c9b Mon Sep 17 00:00:00 2001 From: EightyOliveira Date: Tue, 25 Nov 2025 16:36:41 +0800 Subject: [PATCH 29/89] fix:exception handling order error --- lightrag/llm/openai.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 11a5f9d7..5ab2ac87 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -309,6 +309,10 @@ async def openai_complete_if_cache( response = await openai_async_client.chat.completions.create( model=api_model, messages=messages, **kwargs ) + except APITimeoutError as e: + logger.error(f"OpenAI API Timeout Error: {e}") + await openai_async_client.close() # Ensure client is closed + raise except APIConnectionError as e: logger.error(f"OpenAI API Connection Error: {e}") await openai_async_client.close() # Ensure client is closed @@ -317,10 +321,6 @@ async def openai_complete_if_cache( logger.error(f"OpenAI API Rate Limit Error: {e}") await openai_async_client.close() # Ensure client is closed raise - except APITimeoutError as e: - logger.error(f"OpenAI API Timeout Error: {e}") - await openai_async_client.close() # Ensure client is closed - raise except Exception as e: logger.error( f"OpenAI API Call Failed,\nModel: {model},\nParams: {kwargs}, Got: {e}" From 777c91794b7b2ad5cdfabf770b542ee5acd1f60f Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 25 Nov 2025 17:16:55 +0800 Subject: [PATCH 30/89] Add Langfuse observability configuration to env.example - Add Langfuse environment variables - Include setup instructions - Support OpenAI compatible APIs - Enable tracing configuration - Add cloud/self-host options --- env.example | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/env.example b/env.example index fea99953..d30a03cb 100644 --- a/env.example +++ b/env.example @@ -447,6 +447,17 @@ MEMGRAPH_DATABASE=memgraph ### DB specific workspace should not be set, keep for compatible only ### MEMGRAPH_WORKSPACE=forced_workspace_name +########################################################### +### Langfuse Observability Configuration +### Only works with LLM provided by OpenAI compatible API +### Install with: pip install lightrag-hku[observability] +### Sign up at: https://cloud.langfuse.com or self-host +########################################################### +# LANGFUSE_SECRET_KEY="" +# LANGFUSE_PUBLIC_KEY="" +# LANGFUSE_HOST="https://cloud.langfuse.com" # 或您的自托管实例地址 +# LANGFUSE_ENABLE_TRACE=true + ############################ ### Evaluation Configuration ############################ From 93d445dfdd4c51e4e56a516bae0b81036593434f Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 25 Nov 2025 18:24:39 +0800 Subject: [PATCH 31/89] Add pipeline status lock function for legacy compatibility - Add get_pipeline_status_lock function - Return NamespaceLock for consistency - Support workspace parameter - Enable logging option - Legacy code compatibility --- lightrag/kg/shared_storage.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/lightrag/kg/shared_storage.py b/lightrag/kg/shared_storage.py index 834cdc8f..ef0f61e2 100644 --- a/lightrag/kg/shared_storage.py +++ b/lightrag/kg/shared_storage.py @@ -1683,3 +1683,17 @@ def get_default_workspace() -> str: """ global _default_workspace return _default_workspace + + +def get_pipeline_status_lock( + enable_logging: bool = False, workspace: str = None +) -> NamespaceLock: + """Return unified storage lock for pipeline status data consistency. + + This function is for compatibility with legacy code only. + """ + global _default_workspace + actual_workspace = workspace if workspace else _default_workspace + return get_namespace_lock( + "pipeline_status", workspace=actual_workspace, enable_logging=enable_logging + ) From 4f12fe121d06298b135dcd57cadeeea5259aaf63 Mon Sep 17 00:00:00 2001 From: yangdx Date: Thu, 27 Nov 2025 11:00:34 +0800 Subject: [PATCH 32/89] Change entity extraction logging from warning to info level MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Reduce log noise for empty entities --- lightrag/operate.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/lightrag/operate.py b/lightrag/operate.py index 5f824af0..c6724974 100644 --- a/lightrag/operate.py +++ b/lightrag/operate.py @@ -397,8 +397,8 @@ async def _handle_single_entity_extraction( # Validate entity name after all cleaning steps if not entity_name or not entity_name.strip(): - logger.warning( - f"Entity extraction error: entity name became empty after cleaning. Original: '{record_attributes[1]}'" + logger.info( + f"Empty entity name found after sanitization. Original: '{record_attributes[1]}'" ) return None @@ -474,14 +474,14 @@ async def _handle_single_relationship_extraction( # Validate entity names after all cleaning steps if not source: - logger.warning( - f"Relationship extraction error: source entity became empty after cleaning. Original: '{record_attributes[1]}'" + logger.info( + f"Empty source entity found after sanitization. Original: '{record_attributes[1]}'" ) return None if not target: - logger.warning( - f"Relationship extraction error: target entity became empty after cleaning. Original: '{record_attributes[2]}'" + logger.info( + f"Empty target entity found after sanitization. Original: '{record_attributes[2]}'" ) return None From 6e2946e78aa1213d23749aac23fe3513f5c957db Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 13:41:01 +0800 Subject: [PATCH 33/89] Add max_token_size parameter to azure_openai_embed wrapper --- lightrag/llm/openai.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/llm/openai.py b/lightrag/llm/openai.py index 5ab2ac87..9c3d0261 100644 --- a/lightrag/llm/openai.py +++ b/lightrag/llm/openai.py @@ -867,7 +867,7 @@ async def azure_openai_complete( return result -@wrap_embedding_func_with_attrs(embedding_dim=1536) +@wrap_embedding_func_with_attrs(embedding_dim=1536, max_token_size=8192) async def azure_openai_embed( texts: list[str], model: str | None = None, From 1d07ff7f60439abacbe67832c2da1c8cabb86ca9 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 14:41:29 +0800 Subject: [PATCH 34/89] Update OpenAI and Ollama embedding func examples in README --- README-zh.md | 47 ++++++++++++++++++++++++++--------------------- README.md | 47 ++++++++++++++++++++++++++--------------------- 2 files changed, 52 insertions(+), 42 deletions(-) diff --git a/README-zh.md b/README-zh.md index 3c72b846..3d0e6301 100644 --- a/README-zh.md +++ b/README-zh.md @@ -407,6 +407,11 @@ LightRAG 需要利用LLM和Embeding模型来完成文档索引和知识库查询 * LightRAG还支持类OpenAI的聊天/嵌入API： ```python +import os +import numpy as np +from lightrag.utils import wrap_embedding_func_with_attrs +from lightrag.llm.openai import openai_complete_if_cache, openai_embed + async def llm_model_func( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: @@ -420,8 +425,9 @@ async def llm_model_func( **kwargs ) +@wrap_embedding_func_with_attrs(embedding_dim=4096, max_token_size=8192) async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embed( + return await openai_embed.func( texts, model="solar-embedding-1-large-query", api_key=os.getenv("UPSTAGE_API_KEY"), @@ -432,10 +438,7 @@ async def initialize_rag(): rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, - func=embedding_func - ) + embedding_func=embedding_func # 直接传入装饰后的函数 ) await rag.initialize_storages() @@ -478,19 +481,20 @@ rag = LightRAG( 然后您只需要按如下方式设置LightRAG： ```python +import numpy as np +from lightrag.utils import wrap_embedding_func_with_attrs +from lightrag.llm.ollama import ollama_model_complete, ollama_embed + +@wrap_embedding_func_with_attrs(embedding_dim=768, max_token_size=8192) +async def embedding_func(texts: list[str]) -> np.ndarray: + return await ollama_embed.func(texts, embed_model="nomic-embed-text") + # 使用Ollama模型初始化LightRAG rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, # 使用Ollama模型进行文本生成 llm_model_name='your_model_name', # 您的模型名称 - # 使用Ollama嵌入函数 - embedding_func=EmbeddingFunc( - embedding_dim=768, - func=lambda texts: ollama_embed( - texts, - embed_model="nomic-embed-text" - ) - ), + embedding_func=embedding_func, # 直接传入装饰后的函数 ) ``` @@ -529,19 +533,20 @@ ollama create -f Modelfile qwen2m 您可以使用`llm_model_kwargs`参数配置ollama： ```python +import numpy as np +from lightrag.utils import wrap_embedding_func_with_attrs +from lightrag.llm.ollama import ollama_model_complete, ollama_embed + +@wrap_embedding_func_with_attrs(embedding_dim=768, max_token_size=8192) +async def embedding_func(texts: list[str]) -> np.ndarray: + return await ollama_embed.func(texts, embed_model="nomic-embed-text") + rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, # 使用Ollama模型进行文本生成 llm_model_name='your_model_name', # 您的模型名称 llm_model_kwargs={"options": {"num_ctx": 32768}}, - # 使用Ollama嵌入函数 - embedding_func=EmbeddingFunc( - embedding_dim=768, - func=lambda texts: ollama_embed( - texts, - embed_model="nomic-embed-text" - ) - ), + embedding_func=embedding_func, # 直接传入装饰后的函数 ) ``` diff --git a/README.md b/README.md index 47906d2e..6ab85dc4 100644 --- a/README.md +++ b/README.md @@ -403,6 +403,11 @@ LightRAG requires the utilization of LLM and Embedding models to accomplish docu * LightRAG also supports Open AI-like chat/embeddings APIs: ```python +import os +import numpy as np +from lightrag.utils import wrap_embedding_func_with_attrs +from lightrag.llm.openai import openai_complete_if_cache, openai_embed + async def llm_model_func( prompt, system_prompt=None, history_messages=[], keyword_extraction=False, **kwargs ) -> str: @@ -416,8 +421,9 @@ async def llm_model_func( **kwargs ) +@wrap_embedding_func_with_attrs(embedding_dim=4096, max_token_size=8192) async def embedding_func(texts: list[str]) -> np.ndarray: - return await openai_embed( + return await openai_embed.func( texts, model="solar-embedding-1-large-query", api_key=os.getenv("UPSTAGE_API_KEY"), @@ -428,10 +434,7 @@ async def initialize_rag(): rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=llm_model_func, - embedding_func=EmbeddingFunc( - embedding_dim=4096, - func=embedding_func - ) + embedding_func=embedding_func # Pass the decorated function directly ) await rag.initialize_storages() @@ -476,19 +479,20 @@ If you want to use Ollama models, you need to pull model you plan to use and emb Then you only need to set LightRAG as follows: ```python +import numpy as np +from lightrag.utils import wrap_embedding_func_with_attrs +from lightrag.llm.ollama import ollama_model_complete, ollama_embed + +@wrap_embedding_func_with_attrs(embedding_dim=768, max_token_size=8192) +async def embedding_func(texts: list[str]) -> np.ndarray: + return await ollama_embed.func(texts, embed_model="nomic-embed-text") + # Initialize LightRAG with Ollama model rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, # Use Ollama model for text generation llm_model_name='your_model_name', # Your model name - # Use Ollama embedding function - embedding_func=EmbeddingFunc( - embedding_dim=768, - func=lambda texts: ollama_embed( - texts, - embed_model="nomic-embed-text" - ) - ), + embedding_func=embedding_func, # Pass the decorated function directly ) ``` @@ -527,19 +531,20 @@ ollama create -f Modelfile qwen2m Tiy can use `llm_model_kwargs` param to configure ollama: ```python +import numpy as np +from lightrag.utils import wrap_embedding_func_with_attrs +from lightrag.llm.ollama import ollama_model_complete, ollama_embed + +@wrap_embedding_func_with_attrs(embedding_dim=768, max_token_size=8192) +async def embedding_func(texts: list[str]) -> np.ndarray: + return await ollama_embed.func(texts, embed_model="nomic-embed-text") + rag = LightRAG( working_dir=WORKING_DIR, llm_model_func=ollama_model_complete, # Use Ollama model for text generation llm_model_name='your_model_name', # Your model name llm_model_kwargs={"options": {"num_ctx": 32768}}, - # Use Ollama embedding function - embedding_func=EmbeddingFunc( - embedding_dim=768, - func=lambda texts: ollama_embed( - texts, - embed_model="nomic-embed-text" - ) - ), + embedding_func=embedding_func, # Pass the decorated function directly ) ``` From 97a9dfcac05417ebe6d577cb995d89e293137f5b Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 14:55:15 +0800 Subject: [PATCH 35/89] Add important note about embedding function wrapping restrictions --- README-zh.md | 8 ++++++++ README.md | 8 ++++++++ 2 files changed, 16 insertions(+) diff --git a/README-zh.md b/README-zh.md index 3d0e6301..478d67ab 100644 --- a/README-zh.md +++ b/README-zh.md @@ -445,6 +445,10 @@ async def initialize_rag(): return rag ``` +> **关于嵌入函数封装的重要说明：** +> +> `EmbeddingFunc` 不能嵌套封装。已经被 `@wrap_embedding_func_with_attrs` 装饰过的嵌入函数（如 `openai_embed`、`ollama_embed` 等）不能再次使用 `EmbeddingFunc()` 封装。这就是为什么在创建自定义嵌入函数时，我们调用 `xxx_embed.func`（底层未封装的函数）而不是直接调用 `xxx_embed`。 +
@@ -550,6 +554,10 @@ rag = LightRAG( ) ``` +> **关于嵌入函数封装的重要说明：** +> +> `EmbeddingFunc` 不能嵌套封装。已经被 `@wrap_embedding_func_with_attrs` 装饰过的嵌入函数（如 `openai_embed`、`ollama_embed` 等）不能再次使用 `EmbeddingFunc()` 封装。这就是为什么在创建自定义嵌入函数时，我们调用 `xxx_embed.func`（底层未封装的函数）而不是直接调用 `xxx_embed`。 + * **低RAM GPU** 为了在低RAM GPU上运行此实验，您应该选择小型模型并调整上下文窗口（增加上下文会增加内存消耗）。例如，在6Gb RAM的改装挖矿GPU上运行这个ollama示例需要将上下文大小设置为26k，同时使用`gemma2:2b`。它能够在`book.txt`中找到197个实体和19个关系。 diff --git a/README.md b/README.md index 6ab85dc4..68d61eee 100644 --- a/README.md +++ b/README.md @@ -441,6 +441,10 @@ async def initialize_rag(): return rag ``` +> **Important Note on Embedding Function Wrapping:** +> +> `EmbeddingFunc` cannot be nested. Functions that have been decorated with `@wrap_embedding_func_with_attrs` (such as `openai_embed`, `ollama_embed`, etc.) cannot be wrapped again using `EmbeddingFunc()`. This is why we call `xxx_embed.func` (the underlying unwrapped function) instead of `xxx_embed` directly when creating custom embedding functions. +
@@ -548,6 +552,10 @@ rag = LightRAG( ) ``` +> **Important Note on Embedding Function Wrapping:** +> +> `EmbeddingFunc` cannot be nested. Functions that have been decorated with `@wrap_embedding_func_with_attrs` (such as `openai_embed`, `ollama_embed`, etc.) cannot be wrapped again using `EmbeddingFunc()`. This is why we call `xxx_embed.func` (the underlying unwrapped function) instead of `xxx_embed` directly when creating custom embedding functions. + * **Low RAM GPUs** In order to run this experiment on low RAM GPU you should select small model and tune context window (increasing context increase memory consumption). For example, running this ollama example on repurposed mining GPU with 6Gb of RAM required to set context size to 26k while using `gemma2:2b`. It was able to find 197 entities and 19 relations on `book.txt`. From 56e0365cf0d4b0563136daa3481e6788b42fea99 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 15:38:29 +0800 Subject: [PATCH 36/89] Add configurable model parameter to jina_embed function - Add model parameter to jina_embed - Pass model from API server - Default to jina-embeddings-v4 - Update function documentation - Make model selection flexible --- lightrag/api/lightrag_server.py | 1 + lightrag/llm/jina.py | 5 ++++- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py index a8a14c66..16e59d21 100644 --- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -780,6 +780,7 @@ def create_app(args): ) return await actual_func( texts, + model=model, embedding_dim=embedding_dim, base_url=host, api_key=api_key, diff --git a/lightrag/llm/jina.py b/lightrag/llm/jina.py index f61faadd..41251f4a 100644 --- a/lightrag/llm/jina.py +++ b/lightrag/llm/jina.py @@ -69,6 +69,7 @@ async def fetch_data(url, headers, data): ) async def jina_embed( texts: list[str], + model: str = "jina-embeddings-v4", embedding_dim: int = 2048, late_chunking: bool = False, base_url: str = None, @@ -78,6 +79,8 @@ async def jina_embed( Args: texts: List of texts to embed. + model: The Jina embedding model to use (default: jina-embeddings-v4). + Supported models: jina-embeddings-v3, jina-embeddings-v4, etc. embedding_dim: The embedding dimensions (default: 2048 for jina-embeddings-v4). **IMPORTANT**: This parameter is automatically injected by the EmbeddingFunc wrapper. Do NOT manually pass this parameter when calling the function directly. @@ -107,7 +110,7 @@ async def jina_embed( "Authorization": f"Bearer {os.environ['JINA_API_KEY']}", } data = { - "model": "jina-embeddings-v4", + "model": model, "task": "text-matching", "dimensions": embedding_dim, "embedding_type": "base64", From 881b8d3a505926a12d5c38d917f511ca95854e75 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 15:39:55 +0800 Subject: [PATCH 37/89] Bump API version to 0257 --- lightrag/api/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/__init__.py b/lightrag/api/__init__.py index 1e689c38..aae48894 100644 --- a/lightrag/api/__init__.py +++ b/lightrag/api/__init__.py @@ -1 +1 @@ -__api_version__ = "0256" +__api_version__ = "0257" From 4ab4a7ac949aa0bb96983b3e9eda46e977803d21 Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 16:57:33 +0800 Subject: [PATCH 38/89] Allow embedding models to use provider defaults when unspecified - Set EMBEDDING_MODEL default to None - Pass model param only when provided - Let providers use their own defaults - Fix lollms embed function params - Add ollama embed_model default param --- lightrag/api/config.py | 8 ++- lightrag/api/lightrag_server.py | 91 +++++++++++++++++++++------------ lightrag/llm/ollama.py | 4 +- 3 files changed, 66 insertions(+), 37 deletions(-) diff --git a/lightrag/api/config.py b/lightrag/api/config.py index 4f59d3c1..4d8ab1e1 100644 --- a/lightrag/api/config.py +++ b/lightrag/api/config.py @@ -365,8 +365,12 @@ def parse_args() -> argparse.Namespace: # Inject model configuration args.llm_model = get_env_value("LLM_MODEL", "mistral-nemo:latest") - args.embedding_model = get_env_value("EMBEDDING_MODEL", "bge-m3:latest") - args.embedding_dim = get_env_value("EMBEDDING_DIM", 1024, int) + # EMBEDDING_MODEL defaults to None - each binding will use its own default model + # e.g., OpenAI uses "text-embedding-3-small", Jina uses "jina-embeddings-v4" + args.embedding_model = get_env_value("EMBEDDING_MODEL", None, special_none=True) + # EMBEDDING_DIM defaults to None - each binding will use its own default dimension + # Value is inherited from provider defaults via wrap_embedding_func_with_attrs decorator + args.embedding_dim = get_env_value("EMBEDDING_DIM", None, int, special_none=True) args.embedding_send_dim = get_env_value("EMBEDDING_SEND_DIM", False, bool) # Inject chunk configuration diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py index 16e59d21..930358a7 100644 --- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -713,6 +713,7 @@ def create_app(args): ) # Step 3: Create optimized embedding function (calls underlying function directly) + # Note: When model is None, each binding will use its own default model async def optimized_embedding_function(texts, embedding_dim=None): try: if binding == "lollms": @@ -724,9 +725,9 @@ def create_app(args): if isinstance(lollms_embed, EmbeddingFunc) else lollms_embed ) - return await actual_func( - texts, embed_model=model, host=host, api_key=api_key - ) + # lollms embed_model is not used (server uses configured vectorizer) + # Only pass base_url and api_key + return await actual_func(texts, base_url=host, api_key=api_key) elif binding == "ollama": from lightrag.llm.ollama import ollama_embed @@ -745,13 +746,16 @@ def create_app(args): ollama_options = OllamaEmbeddingOptions.options_dict(args) - return await actual_func( - texts, - embed_model=model, - host=host, - api_key=api_key, - options=ollama_options, - ) + # Pass embed_model only if provided, let function use its default (bge-m3:latest) + kwargs = { + "texts": texts, + "host": host, + "api_key": api_key, + "options": ollama_options, + } + if model: + kwargs["embed_model"] = model + return await actual_func(**kwargs) elif binding == "azure_openai": from lightrag.llm.azure_openai import azure_openai_embed @@ -760,7 +764,11 @@ def create_app(args): if isinstance(azure_openai_embed, EmbeddingFunc) else azure_openai_embed ) - return await actual_func(texts, model=model, api_key=api_key) + # Pass model only if provided, let function use its default otherwise + kwargs = {"texts": texts, "api_key": api_key} + if model: + kwargs["model"] = model + return await actual_func(**kwargs) elif binding == "aws_bedrock": from lightrag.llm.bedrock import bedrock_embed @@ -769,7 +777,11 @@ def create_app(args): if isinstance(bedrock_embed, EmbeddingFunc) else bedrock_embed ) - return await actual_func(texts, model=model) + # Pass model only if provided, let function use its default otherwise + kwargs = {"texts": texts} + if model: + kwargs["model"] = model + return await actual_func(**kwargs) elif binding == "jina": from lightrag.llm.jina import jina_embed @@ -778,13 +790,16 @@ def create_app(args): if isinstance(jina_embed, EmbeddingFunc) else jina_embed ) - return await actual_func( - texts, - model=model, - embedding_dim=embedding_dim, - base_url=host, - api_key=api_key, - ) + # Pass model only if provided, let function use its default (jina-embeddings-v4) + kwargs = { + "texts": texts, + "embedding_dim": embedding_dim, + "base_url": host, + "api_key": api_key, + } + if model: + kwargs["model"] = model + return await actual_func(**kwargs) elif binding == "gemini": from lightrag.llm.gemini import gemini_embed @@ -802,14 +817,19 @@ def create_app(args): gemini_options = GeminiEmbeddingOptions.options_dict(args) - return await actual_func( - texts, - model=model, - base_url=host, - api_key=api_key, - embedding_dim=embedding_dim, - task_type=gemini_options.get("task_type", "RETRIEVAL_DOCUMENT"), - ) + # Pass model only if provided, let function use its default (gemini-embedding-001) + kwargs = { + "texts": texts, + "base_url": host, + "api_key": api_key, + "embedding_dim": embedding_dim, + "task_type": gemini_options.get( + "task_type", "RETRIEVAL_DOCUMENT" + ), + } + if model: + kwargs["model"] = model + return await actual_func(**kwargs) else: # openai and compatible from lightrag.llm.openai import openai_embed @@ -818,13 +838,16 @@ def create_app(args): if isinstance(openai_embed, EmbeddingFunc) else openai_embed ) - return await actual_func( - texts, - model=model, - base_url=host, - api_key=api_key, - embedding_dim=embedding_dim, - ) + # Pass model only if provided, let function use its default (text-embedding-3-small) + kwargs = { + "texts": texts, + "base_url": host, + "api_key": api_key, + "embedding_dim": embedding_dim, + } + if model: + kwargs["model"] = model + return await actual_func(**kwargs) except ImportError as e: raise Exception(f"Failed to import {binding} embedding: {e}") diff --git a/lightrag/llm/ollama.py b/lightrag/llm/ollama.py index e35dc293..cd633e80 100644 --- a/lightrag/llm/ollama.py +++ b/lightrag/llm/ollama.py @@ -173,7 +173,9 @@ async def ollama_model_complete( @wrap_embedding_func_with_attrs(embedding_dim=1024, max_token_size=8192) -async def ollama_embed(texts: list[str], embed_model, **kwargs) -> np.ndarray: +async def ollama_embed( + texts: list[str], embed_model: str = "bge-m3:latest", **kwargs +) -> np.ndarray: api_key = kwargs.pop("api_key", None) if not api_key: api_key = os.getenv("OLLAMA_API_KEY") From 90f341d614bf393aae48080ba0f400da70e656eb Mon Sep 17 00:00:00 2001 From: Christian Clauss Date: Fri, 28 Nov 2025 10:31:52 +0100 Subject: [PATCH 39/89] Fix typos discovered by codespell --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 68d61eee..bd73f895 100644 --- a/README.md +++ b/README.md @@ -214,7 +214,7 @@ For a streaming response implementation example, please see `examples/lightrag_o **Note 2**: Only `lightrag_openai_demo.py` and `lightrag_openai_compatible_demo.py` are officially supported sample codes. Other sample files are community contributions that haven't undergone full testing and optimization. -## Programing with LightRAG Core +## Programming with LightRAG Core > ⚠️ **If you would like to integrate LightRAG into your project, we recommend utilizing the REST API provided by the LightRAG Server**. LightRAG Core is typically intended for embedded applications or for researchers who wish to conduct studies and evaluations. @@ -313,7 +313,7 @@ A full list of LightRAG init parameters: | **vector_db_storage_cls_kwargs** | `dict` | Additional parameters for vector database, like setting the threshold for nodes and relations retrieval | cosine_better_than_threshold: 0.2（default value changed by env var COSINE_THRESHOLD) | | **enable_llm_cache** | `bool` | If `TRUE`, stores LLM results in cache; repeated prompts return cached responses | `TRUE` | | **enable_llm_cache_for_entity_extract** | `bool` | If `TRUE`, stores LLM results in cache for entity extraction; Good for beginners to debug your application | `TRUE` | -| **addon_params** | `dict` | Additional parameters, e.g., `{"language": "Simplified Chinese", "entity_types": ["organization", "person", "location", "event"]}`: sets example limit, entiy/relation extraction output language | language: English` | +| **addon_params** | `dict` | Additional parameters, e.g., `{"language": "Simplified Chinese", "entity_types": ["organization", "person", "location", "event"]}`: sets example limit, entity/relation extraction output language | language: English` | | **embedding_cache_config** | `dict` | Configuration for question-answer caching. Contains three parameters: `enabled`: Boolean value to enable/disable cache lookup functionality. When enabled, the system will check cached responses before generating new answers. `similarity_threshold`: Float value (0-1), similarity threshold. When a new question's similarity with a cached question exceeds this threshold, the cached answer will be returned directly without calling the LLM. `use_llm_check`: Boolean value to enable/disable LLM similarity verification. When enabled, LLM will be used as a secondary check to verify the similarity between questions before returning cached answers. | Default: `{"enabled": False, "similarity_threshold": 0.95, "use_llm_check": False}` |
@@ -364,7 +364,7 @@ class QueryParam: max_total_tokens: int = int(os.getenv("MAX_TOTAL_TOKENS", "30000")) """Maximum total tokens budget for the entire query context (entities + relations + chunks + system prompt).""" - # History mesages is only send to LLM for context, not used for retrieval + # History messages are only sent to LLM for context, not used for retrieval conversation_history: list[dict[str, str]] = field(default_factory=list) """Stores past conversation history to maintain context. Format: [{"role": "user/assistant", "content": "message"}]. @@ -1568,7 +1568,7 @@ Langfuse provides a drop-in replacement for the OpenAI client that automatically pip install lightrag-hku pip install lightrag-hku[observability] -# Or install from souce code with debug mode enabled +# Or install from source code with debug mode enabled pip install -e . pip install -e ".[observability]" ``` From ea8d55ab429394d8297b97778ed681a63a31f24c Mon Sep 17 00:00:00 2001 From: yangdx Date: Fri, 28 Nov 2025 17:49:30 +0800 Subject: [PATCH 40/89] Add documentation for embedding provider configuration rules --- lightrag/api/lightrag_server.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/lightrag/api/lightrag_server.py b/lightrag/api/lightrag_server.py index 930358a7..5f59085a 100644 --- a/lightrag/api/lightrag_server.py +++ b/lightrag/api/lightrag_server.py @@ -654,6 +654,17 @@ def create_app(args): 2. Extracts max_token_size and embedding_dim from provider if it's an EmbeddingFunc 3. Creates an optimized wrapper that calls the underlying function directly (avoiding double-wrapping) 4. Returns a properly configured EmbeddingFunc instance + + Configuration Rules: + - When EMBEDDING_MODEL is not set: Uses provider's default model and dimension + (e.g., jina-embeddings-v4 with 2048 dims, text-embedding-3-small with 1536 dims) + - When EMBEDDING_MODEL is set to a custom model: User MUST also set EMBEDDING_DIM + to match the custom model's dimension (e.g., for jina-embeddings-v3, set EMBEDDING_DIM=1024) + + Note: The embedding_dim parameter is automatically injected by EmbeddingFunc wrapper + when send_dimensions=True (enabled for Jina and Gemini bindings). This wrapper calls + the underlying provider function directly (.func) to avoid double-wrapping, so we must + explicitly pass embedding_dim to the provider's underlying function. """ # Step 1: Import provider function and extract default attributes From 90e38c20ca377201d91f2e19efacacb8faf2f14b Mon Sep 17 00:00:00 2001 From: Christian Clauss Date: Fri, 28 Nov 2025 15:04:53 +0100 Subject: [PATCH 41/89] Keep GitHub Actions up to date with GitHub's Dependabot * [Keeping your software supply chain secure with Dependabot](https://docs.github.com/en/code-security/dependabot) * [Keeping your actions up to date with Dependabot](https://docs.github.com/en/code-security/dependabot/working-with-dependabot/keeping-your-actions-up-to-date-with-dependabot) * [Configuration options for the `dependabot.yml` file - package-ecosystem](https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#package-ecosystem) To see all GitHub Actions dependencies, type: % `git grep 'uses: ' .github/workflows/` --- .github/dependabot.yml | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 .github/dependabot.yml diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..be006de9 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,13 @@ +# Keep GitHub Actions up to date with GitHub's Dependabot... +# https://docs.github.com/en/code-security/dependabot/working-with-dependabot/keeping-your-actions-up-to-date-with-dependabot +# https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#package-ecosystem +version: 2 +updates: + - package-ecosystem: github-actions + directory: / + groups: + github-actions: + patterns: + - "*" # Group all Actions updates into a single larger pull request + schedule: + interval: weekly From d2ab7fb246e51c2a36b5bcaef319c6b5ca8ab0b0 Mon Sep 17 00:00:00 2001 From: Christian Clauss Date: Fri, 28 Nov 2025 16:15:16 +0100 Subject: [PATCH 42/89] Add Python 3.13 and 3.14 to the testing --- .github/workflows/tests.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index e7d00f4a..d09d4757 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -13,13 +13,13 @@ jobs: strategy: matrix: - python-version: ['3.10', '3.11', '3.12'] + python-version: ['3.10', '3.11', '3.12', '3.13', '3.14'] steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v6 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 + uses: actions/setup-python@v6 with: python-version: ${{ matrix.python-version }} @@ -45,7 +45,7 @@ jobs: - name: Upload test results if: always() - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v5 with: name: test-results-py${{ matrix.python-version }} path: | From 5c9642675b1a8552413c3a77acff8b9380b1ceac Mon Sep 17 00:00:00 2001 From: chaohuang-ai Date: Sun, 30 Nov 2025 00:17:04 +0800 Subject: [PATCH 43/89] Update README.md --- README.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index bd73f895..3147e23c 100644 --- a/README.md +++ b/README.md @@ -51,24 +51,24 @@ --- ## 🎉 News -- [2025.11.05]🎯[New Feature]: Integrated **RAGAS for Evaluation** and **Langfuse for Tracing**. Updated the API to return retrieved contexts alongside query results to support context precision metrics. -- [2025.10.22]🎯[Scalability Enhancement]: Eliminated processing bottlenecks to support **Large-Scale Datasets Efficiently**. -- [2025.09.15]🎯Significantly enhances KG extraction accuracy for **small LLMs** like Qwen3-30B-A3B. -- [2025.08.29]🎯**Reranker** is supported now , significantly boosting performance for mixed queries(Set as default query mode now). -- [2025.08.04]🎯**Document deletion** with KG regeneration to ensure query performance. -- [2025.06.16]🎯Our team has released [RAG-Anything](https://github.com/HKUDS/RAG-Anything) an All-in-One Multimodal RAG System for seamless text, image, table, and equation processing. -- [2025.06.05]🎯LightRAG now supports comprehensive multimodal data handling through [RAG-Anything](https://github.com/HKUDS/RAG-Anything) integration, enabling seamless document parsing and RAG capabilities across diverse formats including PDFs, images, Office documents, tables, and formulas. Please refer to the new [multimodal section](https://github.com/HKUDS/LightRAG/?tab=readme-ov-file#multimodal-document-processing-rag-anything-integration) for details. -- [2025.03.18]🎯LightRAG now supports citation functionality, enabling proper source attribution. -- [2025.02.12]🎯You can now use MongoDB as all in-one Storage. -- [2025.02.05]🎯Our team has released [VideoRAG](https://github.com/HKUDS/VideoRAG) understanding extremely long-context videos. -- [2025.01.13]🎯Our team has released [MiniRAG](https://github.com/HKUDS/MiniRAG) making RAG simpler with small models. -- [2025.01.06]🎯You can now use PostgreSQL as all in-one Storage. -- [2024.11.19]🎯A comprehensive guide to LightRAG is now available on [LearnOpenCV](https://learnopencv.com/lightrag). Many thanks to the blog author. -- [2024.11.09]🎯Introducing the LightRAG Webui, which allows you to insert, query, visualize LightRAG knowledge. -- [2024.11.04]🎯You can now [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage). -- [2024.10.18]🎯We've added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). Thanks to the author! -- [2024.10.17]🎯We have created a [Discord channel](https://discord.gg/yF2MmDJyGJ)! Welcome to join for sharing and discussions! 🎉🎉 -- [2024.10.16]🎯LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)! +- [2025.11]🎯[New Feature]: Integrated **RAGAS for Evaluation** and **Langfuse for Tracing**. Updated the API to return retrieved contexts alongside query results to support context precision metrics. +- [2025.10]🎯[Scalability Enhancement]: Eliminated processing bottlenecks to support **Large-Scale Datasets Efficiently**. +- [2025.09]🎯[New Feature] Enhances knowledge graph extraction accuracy for **Open-Sourced LLMs** such as Qwen3-30B-A3B. +- [2025.08]🎯[New Feature] **Reranker** is now supported, significantly boosting performance for mixed queries (set as default query mode). +- [2025.08]🎯[New Feature] Added **Document Deletion** with automatic KG regeneration to ensure optimal query performance. +- [2025.06]🎯[New Release] Our team has released [RAG-Anything](https://github.com/HKUDS/RAG-Anything) — an **All-in-One Multimodal RAG** system for seamless processing of text, images, tables, and equations. +- [2025.06]🎯[New Feature] LightRAG now supports comprehensive multimodal data handling through [RAG-Anything](https://github.com/HKUDS/RAG-Anything) integration, enabling seamless document parsing and RAG capabilities across diverse formats including PDFs, images, Office documents, tables, and formulas. Please refer to the new [multimodal section](https://github.com/HKUDS/LightRAG/?tab=readme-ov-file#multimodal-document-processing-rag-anything-integration) for details. +- [2025.03]🎯[New Feature] LightRAG now supports citation functionality, enabling proper source attribution and enhanced document traceability. +- [2025.02]🎯[New Feature] You can now use MongoDB as an all-in-one storage solution for unified data management. +- [2025.02]🎯[New Release] Our team has released [VideoRAG](https://github.com/HKUDS/VideoRAG)-a RAG system for understanding extremely long-context videos +- [2025.01]🎯[New Release] Our team has released [MiniRAG](https://github.com/HKUDS/MiniRAG) making RAG simpler with small models. +- [2025.01]🎯You can now use PostgreSQL as an all-in-one storage solution for data management. +- [2024.11]🎯[New Resource] A comprehensive guide to LightRAG is now available on [LearnOpenCV](https://learnopencv.com/lightrag). — explore in-depth tutorials and best practices. Many thanks to the blog author for this excellent contribution! +- [2024.11]🎯[New Feature] Introducing the LightRAG WebUI — an interface that allows you to insert, query, and visualize LightRAG knowledge through an intuitive web-based dashboard. +- [2024.11]🎯[New Feature] You can now [use Neo4J for Storage](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#using-neo4j-for-storage)-enabling graph database support. +- [2024.10]🎯[New Feature] We've added a link to a [LightRAG Introduction Video](https://youtu.be/oageL-1I0GE). — a walkthrough of LightRAG's capabilities. Thanks to the author for this excellent contribution! +- [2024.10]🎯[New Channel] We have created a [Discord channel](https://discord.gg/yF2MmDJyGJ)!💬 Welcome to join our community for sharing, discussions, and collaboration! 🎉🎉 +- [2024.10]🎯[New Feature] LightRAG now supports [Ollama models](https://github.com/HKUDS/LightRAG?tab=readme-ov-file#quick-start)!
From aeaa0b32f9e51613633dafb3c3be16d4fc679e82 Mon Sep 17 00:00:00 2001 From: yangdx Date: Mon, 1 Dec 2025 12:16:43 +0800 Subject: [PATCH 44/89] Add mhchem extension support for chemistry formulas in ChatMessage --- lightrag_webui/src/components/retrieval/ChatMessage.tsx | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/lightrag_webui/src/components/retrieval/ChatMessage.tsx b/lightrag_webui/src/components/retrieval/ChatMessage.tsx index 7570f503..c9b67a87 100644 --- a/lightrag_webui/src/components/retrieval/ChatMessage.tsx +++ b/lightrag_webui/src/components/retrieval/ChatMessage.tsx @@ -76,10 +76,14 @@ export const ChatMessage = ({ ? message.content : (displayContent !== undefined ? displayContent : (message.content || '')) - // Load KaTeX dynamically + // Load KaTeX dynamically with mhchem extension for chemistry formulas useEffect(() => { const loadKaTeX = async () => { try { + // First load mhchem extension (must be loaded before rehype-katex) + // This enables \ce and \pu commands for chemistry formulas + await import('katex/contrib/mhchem'); + // Then load rehype-katex const { default: rehypeKatex } = await import('rehype-katex'); setKatexPlugin(() => rehypeKatex); } catch (error) { From 8f4bfbf1a3419dcce63efaca8948c29f1cd3785c Mon Sep 17 00:00:00 2001 From: yangdx Date: Mon, 1 Dec 2025 12:20:17 +0800 Subject: [PATCH 45/89] Add KaTeX copy-tex extension support for formula copying --- lightrag_webui/src/components/retrieval/ChatMessage.tsx | 8 +++++--- lightrag_webui/src/types/katex.d.ts | 1 + 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/src/components/retrieval/ChatMessage.tsx b/lightrag_webui/src/components/retrieval/ChatMessage.tsx index c9b67a87..a4703e46 100644 --- a/lightrag_webui/src/components/retrieval/ChatMessage.tsx +++ b/lightrag_webui/src/components/retrieval/ChatMessage.tsx @@ -76,13 +76,15 @@ export const ChatMessage = ({ ? message.content : (displayContent !== undefined ? displayContent : (message.content || '')) - // Load KaTeX dynamically with mhchem extension for chemistry formulas + // Load KaTeX dynamically with extensions useEffect(() => { const loadKaTeX = async () => { try { - // First load mhchem extension (must be loaded before rehype-katex) - // This enables \ce and \pu commands for chemistry formulas + // Load KaTeX extensions (must be loaded before rehype-katex) + // 1. mhchem: enables \ce and \pu commands for chemistry formulas await import('katex/contrib/mhchem'); + // 2. copy-tex: allows users to copy rendered formulas as LaTeX source code + await import('katex/contrib/copy-tex'); // Then load rehype-katex const { default: rehypeKatex } = await import('rehype-katex'); setKatexPlugin(() => rehypeKatex); diff --git a/lightrag_webui/src/types/katex.d.ts b/lightrag_webui/src/types/katex.d.ts index de362150..499dbf30 100644 --- a/lightrag_webui/src/types/katex.d.ts +++ b/lightrag_webui/src/types/katex.d.ts @@ -1 +1,2 @@ declare module 'katex/contrib/mhchem'; +declare module 'katex/contrib/copy-tex'; From 112ed234c4413965c58a993675ae93abb9851134 Mon Sep 17 00:00:00 2001 From: yangdx Date: Mon, 1 Dec 2025 12:20:27 +0800 Subject: [PATCH 46/89] Bump API version to 0258 --- lightrag/api/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/__init__.py b/lightrag/api/__init__.py index aae48894..417d3445 100644 --- a/lightrag/api/__init__.py +++ b/lightrag/api/__init__.py @@ -1 +1 @@ -__api_version__ = "0257" +__api_version__ = "0258" From 3f6423df33815f3efc5285cfbba869bdc989efb4 Mon Sep 17 00:00:00 2001 From: yangdx Date: Mon, 1 Dec 2025 12:44:04 +0800 Subject: [PATCH 47/89] Fix KaTeX extension loading by moving imports to app startup MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Move mhchem/copy-tex to main.tsx • Add katex to Vite dedupe config • Remove dynamic extension loading • Ensure extensions available globally • Fix chemistry formula rendering --- .../src/components/retrieval/ChatMessage.tsx | 10 ++-------- lightrag_webui/src/main.tsx | 3 +++ lightrag_webui/vite.config.ts | 5 ++++- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/lightrag_webui/src/components/retrieval/ChatMessage.tsx b/lightrag_webui/src/components/retrieval/ChatMessage.tsx index a4703e46..e490941c 100644 --- a/lightrag_webui/src/components/retrieval/ChatMessage.tsx +++ b/lightrag_webui/src/components/retrieval/ChatMessage.tsx @@ -76,21 +76,15 @@ export const ChatMessage = ({ ? message.content : (displayContent !== undefined ? displayContent : (message.content || '')) - // Load KaTeX dynamically with extensions + // Load KaTeX rehype plugin dynamically + // Note: KaTeX extensions (mhchem, copy-tex) are imported statically in main.tsx useEffect(() => { const loadKaTeX = async () => { try { - // Load KaTeX extensions (must be loaded before rehype-katex) - // 1. mhchem: enables \ce and \pu commands for chemistry formulas - await import('katex/contrib/mhchem'); - // 2. copy-tex: allows users to copy rendered formulas as LaTeX source code - await import('katex/contrib/copy-tex'); - // Then load rehype-katex const { default: rehypeKatex } = await import('rehype-katex'); setKatexPlugin(() => rehypeKatex); } catch (error) { console.error('Failed to load KaTeX plugin:', error); - // Set to null to ensure we don't try to use a failed plugin setKatexPlugin(null); } }; diff --git a/lightrag_webui/src/main.tsx b/lightrag_webui/src/main.tsx index fb234a60..95a3e587 100644 --- a/lightrag_webui/src/main.tsx +++ b/lightrag_webui/src/main.tsx @@ -4,6 +4,9 @@ import './index.css' import AppRouter from './AppRouter' import './i18n.ts'; import 'katex/dist/katex.min.css'; +// Import KaTeX extensions at app startup to ensure they are registered before any rendering +import 'katex/contrib/mhchem'; // Chemistry formulas: \ce{} and \pu{} +import 'katex/contrib/copy-tex'; // Allow copying rendered formulas as LaTeX source diff --git a/lightrag_webui/vite.config.ts b/lightrag_webui/vite.config.ts index f39969c6..c89c34b4 100644 --- a/lightrag_webui/vite.config.ts +++ b/lightrag_webui/vite.config.ts @@ -10,7 +10,10 @@ export default defineConfig({ resolve: { alias: { '@': path.resolve(__dirname, './src') - } + }, + // Force all modules to use the same katex instance + // This ensures mhchem extension registered in main.tsx is available to rehype-katex + dedupe: ['katex'] }, // base: import.meta.env.VITE_BASE_URL || '/webui/', base: webuiPrefix, From d6019c82afa543ea3b248861c894fe11f226abb5 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 00:17:41 +0800 Subject: [PATCH 48/89] Add CASCADE to AGE extension creation in PostgreSQL implementation - Add CASCADE option to CREATE EXTENSION - Ensure dependencies are installed - Fix potential AGE setup issues --- lightrag/kg/postgres_impl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/kg/postgres_impl.py b/lightrag/kg/postgres_impl.py index 1447a79e..49069ce3 100644 --- a/lightrag/kg/postgres_impl.py +++ b/lightrag/kg/postgres_impl.py @@ -383,7 +383,7 @@ class PostgreSQLDB: async def configure_age_extension(connection: asyncpg.Connection) -> None: """Create AGE extension if it doesn't exist for graph operations.""" try: - await connection.execute("CREATE EXTENSION IF NOT EXISTS age") # type: ignore + await connection.execute("CREATE EXTENSION IF NOT EXISTS AGE CASCADE") # type: ignore logger.info("PostgreSQL, AGE extension enabled") except Exception as e: logger.warning(f"Could not create AGE extension: {e}") From fc44f1136877e8acad8773ec8acaf3d760899067 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 02:46:55 +0800 Subject: [PATCH 49/89] Remove future dependency and replace passlib with direct bcrypt --- pyproject.toml | 4 +--- uv.lock | 34 +++------------------------------- 2 files changed, 4 insertions(+), 34 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 31667ab9..649ecb41 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,6 @@ classifiers = [ dependencies = [ "aiohttp", "configparser", - "future", "google-api-core>=2.0.0,<3.0.0", "google-genai>=1.0.0,<2.0.0", "json_repair", @@ -54,7 +53,6 @@ api = [ # Core dependencies "aiohttp", "configparser", - "future", "json_repair", "nano-vectordb", "networkx", @@ -80,7 +78,7 @@ api = [ "httpcore", "httpx", "jiter", - "passlib[bcrypt]", + "bcrypt>=4.0.0", "psutil", "PyJWT>=2.8.0,<3.0.0", "python-jose[cryptography]", diff --git a/uv.lock b/uv.lock index fb483760..b07a8ea1 100644 --- a/uv.lock +++ b/uv.lock @@ -1334,15 +1334,6 @@ http = [ { name = "aiohttp" }, ] -[[package]] -name = "future" -version = "1.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a7/b2/4140c69c6a66432916b26158687e821ba631a4c9273c474343badf84d3ba/future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05", size = 1228490, upload-time = "2024-02-21T11:52:38.461Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/da/71/ae30dadffc90b9006d77af76b393cb9dfbfc9629f339fc1574a1c52e6806/future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216", size = 491326, upload-time = "2024-02-21T11:52:35.956Z" }, -] - [[package]] name = "gitdb" version = "4.0.12" @@ -2542,7 +2533,6 @@ source = { editable = "." } dependencies = [ { name = "aiohttp" }, { name = "configparser" }, - { name = "future" }, { name = "google-api-core" }, { name = "google-genai" }, { name = "json-repair" }, @@ -2567,10 +2557,10 @@ api = [ { name = "aiohttp" }, { name = "ascii-colors" }, { name = "asyncpg" }, + { name = "bcrypt" }, { name = "configparser" }, { name = "distro" }, { name = "fastapi" }, - { name = "future" }, { name = "google-api-core" }, { name = "google-genai" }, { name = "gunicorn" }, @@ -2585,7 +2575,6 @@ api = [ { name = "openai" }, { name = "openpyxl" }, { name = "pandas" }, - { name = "passlib", extra = ["bcrypt"] }, { name = "pipmaster" }, { name = "psutil" }, { name = "pycryptodome" }, @@ -2627,10 +2616,10 @@ offline = [ { name = "anthropic" }, { name = "ascii-colors" }, { name = "asyncpg" }, + { name = "bcrypt" }, { name = "configparser" }, { name = "distro" }, { name = "fastapi" }, - { name = "future" }, { name = "google-api-core" }, { name = "google-genai" }, { name = "gunicorn" }, @@ -2648,7 +2637,6 @@ offline = [ { name = "openai" }, { name = "openpyxl" }, { name = "pandas" }, - { name = "passlib", extra = ["bcrypt"] }, { name = "pipmaster" }, { name = "psutil" }, { name = "pycryptodome" }, @@ -2714,14 +2702,13 @@ requires-dist = [ { name = "ascii-colors", marker = "extra == 'api'" }, { name = "asyncpg", marker = "extra == 'api'" }, { name = "asyncpg", marker = "extra == 'offline-storage'", specifier = ">=0.29.0,<1.0.0" }, + { name = "bcrypt", marker = "extra == 'api'", specifier = ">=4.0.0" }, { name = "configparser" }, { name = "configparser", marker = "extra == 'api'" }, { name = "datasets", marker = "extra == 'evaluation'", specifier = ">=4.3.0" }, { name = "distro", marker = "extra == 'api'" }, { name = "docling", marker = "sys_platform != 'darwin' and extra == 'docling'", specifier = ">=2.0.0,<3.0.0" }, { name = "fastapi", marker = "extra == 'api'" }, - { name = "future" }, - { name = "future", marker = "extra == 'api'" }, { name = "google-api-core", specifier = ">=2.0.0,<3.0.0" }, { name = "google-api-core", marker = "extra == 'api'", specifier = ">=2.0.0,<3.0.0" }, { name = "google-api-core", marker = "extra == 'offline-llm'", specifier = ">=2.0.0,<3.0.0" }, @@ -2751,7 +2738,6 @@ requires-dist = [ { name = "openpyxl", marker = "extra == 'api'", specifier = ">=3.0.0,<4.0.0" }, { name = "pandas", specifier = ">=2.0.0,<2.4.0" }, { name = "pandas", marker = "extra == 'api'", specifier = ">=2.0.0,<2.4.0" }, - { name = "passlib", extras = ["bcrypt"], marker = "extra == 'api'" }, { name = "pipmaster" }, { name = "pipmaster", marker = "extra == 'api'" }, { name = "pre-commit", marker = "extra == 'evaluation'" }, @@ -4110,20 +4096,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ab/5f/b38085618b950b79d2d9164a711c52b10aefc0ae6833b96f626b7021b2ed/pandas-2.2.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a", size = 13098436, upload-time = "2024-09-20T13:09:48.112Z" }, ] -[[package]] -name = "passlib" -version = "1.7.4" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b6/06/9da9ee59a67fae7761aab3ccc84fa4f3f33f125b370f1ccdb915bf967c11/passlib-1.7.4.tar.gz", hash = "sha256:defd50f72b65c5402ab2c573830a6978e5f202ad0d984793c8dde2c4152ebe04", size = 689844, upload-time = "2020-10-08T19:00:52.121Z" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3b/a4/ab6b7589382ca3df236e03faa71deac88cae040af60c071a78d254a62172/passlib-1.7.4-py2.py3-none-any.whl", hash = "sha256:aa6bca462b8d8bda89c70b382f0c298a20b5560af6cbfa2dce410c0a2fb669f1", size = 525554, upload-time = "2020-10-08T19:00:49.856Z" }, -] - -[package.optional-dependencies] -bcrypt = [ - { name = "bcrypt" }, -] - [[package]] name = "pillow" version = "11.3.0" From 2ecf77efe29d41a47952325c30753a60a1f95042 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 02:52:31 +0800 Subject: [PATCH 50/89] Update help text to use correct gunicorn command with workers flag --- lightrag/api/run_with_gunicorn.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/run_with_gunicorn.py b/lightrag/api/run_with_gunicorn.py index deabe7cf..e3bc0a8c 100644 --- a/lightrag/api/run_with_gunicorn.py +++ b/lightrag/api/run_with_gunicorn.py @@ -100,7 +100,7 @@ def main(): print("\nHow to fix:") print(" Option 1 - Set environment variable before starting (recommended):") print(" export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES") - print(" lightrag-server") + print(" lightrag-gunicorn --workers 2") print("\n Option 2 - Add to your shell profile (~/.zshrc or ~/.bash_profile):") print(" echo 'export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES' >> ~/.zshrc") print(" source ~/.zshrc") From 268e4ff6f15af316c07856327d7afe6603bb1185 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 03:02:43 +0800 Subject: [PATCH 51/89] Refactor dependencies and add test extra in pyproject.toml MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Pin httpx version in api extra • Extract test dependencies to new extra • Move httpx pin from evaluation to api • Add api dependency to evaluation extra • Separate test from evaluation concerns --- pyproject.toml | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 649ecb41..761a3309 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -76,7 +76,7 @@ api = [ "distro", "fastapi", "httpcore", - "httpx", + "httpx>=0.28.1", "jiter", "bcrypt>=4.0.0", "psutil", @@ -130,16 +130,18 @@ offline = [ "lightrag-hku[api,offline-storage,offline-llm]", ] -evaluation = [ - # Test framework dependencies +test = [ + "lightrag-hku[api]", "pytest>=8.4.2", "pytest-asyncio>=1.2.0", "pre-commit", "ruff", - # RAG evaluation dependencies (RAGAS framework) +] + +evaluation = [ + "lightrag-hku[api]", "ragas>=0.3.7", "datasets>=4.3.0", - "httpx>=0.28.1", ] observability = [ From ecef842cb5f7f7dff31476c27c516c0d37c71283 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 03:47:47 +0800 Subject: [PATCH 52/89] Update GitHub Actions to use latest versions (v6) --- .github/workflows/copilot-setup-steps.yml | 4 ++-- .github/workflows/docker-build-lite.yml | 2 +- .github/workflows/docker-build-manual.yml | 2 +- .github/workflows/docker-publish.yml | 2 +- .github/workflows/linting.yaml | 4 ++-- .github/workflows/pypi-publish.yml | 4 ++-- 6 files changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml index 6b946ed1..618b80b4 100644 --- a/.github/workflows/copilot-setup-steps.yml +++ b/.github/workflows/copilot-setup-steps.yml @@ -23,10 +23,10 @@ jobs: # If you do not check out your code, Copilot will do this for you. steps: - name: Checkout code - uses: actions/checkout@v5 + uses: actions/checkout@v6 - name: Set up Python 3.11 - uses: actions/setup-python@v5 + uses: actions/setup-python@v6 with: python-version: '3.11' diff --git a/.github/workflows/docker-build-lite.yml b/.github/workflows/docker-build-lite.yml index 9cbe6289..652c5649 100644 --- a/.github/workflows/docker-build-lite.yml +++ b/.github/workflows/docker-build-lite.yml @@ -18,7 +18,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 diff --git a/.github/workflows/docker-build-manual.yml b/.github/workflows/docker-build-manual.yml index de459d5a..31027304 100644 --- a/.github/workflows/docker-build-manual.yml +++ b/.github/workflows/docker-build-manual.yml @@ -18,7 +18,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch all history for tags diff --git a/.github/workflows/docker-publish.yml b/.github/workflows/docker-publish.yml index 6c290d59..b81d4f53 100644 --- a/.github/workflows/docker-publish.yml +++ b/.github/workflows/docker-publish.yml @@ -14,7 +14,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch all history for tags diff --git a/.github/workflows/linting.yaml b/.github/workflows/linting.yaml index aa054369..7aef7d13 100644 --- a/.github/workflows/linting.yaml +++ b/.github/workflows/linting.yaml @@ -14,10 +14,10 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v2 + uses: actions/checkout@v6 - name: Set up Python - uses: actions/setup-python@v2 + uses: actions/setup-python@v6 with: python-version: '3.x' diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml index 14c2bcc5..5c35eee2 100644 --- a/.github/workflows/pypi-publish.yml +++ b/.github/workflows/pypi-publish.yml @@ -13,7 +13,7 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch all history for tags @@ -40,7 +40,7 @@ jobs: echo "Frontend files:" ls -lh lightrag/api/webui/ | head -10 - - uses: actions/setup-python@v5 + - uses: actions/setup-python@v6 with: python-version: "3.x" From 0f19f80fdbdc2f6dd08a7aea35013f1fead00030 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 04:28:59 +0800 Subject: [PATCH 53/89] Configure comprehensive Dependabot for Python and frontend dependencies - Add pip ecosystem with grouping - Add bun ecosystem for webui - Set weekly update schedule - Configure cooldown periods - Ignore numpy breaking changes --- .github/dependabot.yml | 157 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 157 insertions(+) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index be006de9..ff191bf1 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -3,6 +3,8 @@ # https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#package-ecosystem version: 2 updates: + # Enable version updates for GitHub Actions + # Workflow files stored in the default location of `.github/workflows` - package-ecosystem: github-actions directory: / groups: @@ -11,3 +13,158 @@ updates: - "*" # Group all Actions updates into a single larger pull request schedule: interval: weekly + labels: + - "dependencies" + - "github-actions" + open-pull-requests-limit: 5 + + # Configuration for pip (Python dependencies) + - package-ecosystem: "pip" + directory: "/" + schedule: + interval: "weekly" + cooldown: + default-days: 5 + semver-major-days: 30 + semver-minor-days: 7 + semver-patch-days: 3 + groups: + # Core dependencies - LLM providers and embeddings + llm-providers: + patterns: + - "openai" + - "anthropic" + - "google-*" + - "boto3" + - "botocore" + - "ollama" + update-types: + - "minor" + - "patch" + # Storage backends + storage: + patterns: + - "neo4j" + - "pymongo" + - "redis" + - "psycopg*" + - "asyncpg" + - "milvus*" + - "qdrant*" + update-types: + - "minor" + - "patch" + # Data processing and ML + data-processing: + patterns: + # - "numpy" + - "scipy" + - "pandas" + - "tiktoken" + - "transformers" + - "torch*" + update-types: + - "minor" + - "patch" + # Web framework and API + web-framework: + patterns: + - "fastapi" + - "uvicorn" + - "gunicorn" + - "starlette" + - "pydantic*" + update-types: + - "minor" + - "patch" + # Development and testing tools + dev-tools: + patterns: + - "pytest*" + - "ruff" + - "pre-commit" + - "black" + - "mypy" + update-types: + - "minor" + - "patch" + # Minor and patch updates for everything else + python-minor-patch: + patterns: + - "*" + update-types: + - "minor" + - "patch" + ignore: + # numpy updates are disabled due to potential breaking changes + - dependency-name: "numpy" + labels: + - "dependencies" + - "python" + open-pull-requests-limit: 10 + + # Configuration for bun (Frontend dependencies) + - package-ecosystem: "bun" + directory: "/lightrag_webui" + schedule: + interval: "weekly" + cooldown: + default-days: 5 + semver-major-days: 30 + semver-minor-days: 7 + semver-patch-days: 3 + groups: + # React ecosystem + react: + patterns: + - "react" + - "react-dom" + - "react-router*" + - "@types/react*" + update-types: + - "minor" + - "patch" + # UI components and styling + ui-components: + patterns: + - "@radix-ui/*" + - "tailwind*" + - "@tailwindcss/*" + - "lucide-react" + - "class-variance-authority" + - "clsx" + update-types: + - "minor" + - "patch" + # Graph visualization + graph-viz: + patterns: + - "sigma" + - "@sigma/*" + - "graphology*" + update-types: + - "minor" + - "patch" + # Build tools and dev dependencies + build-tools: + patterns: + - "vite" + - "@vitejs/*" + - "typescript" + - "eslint*" + - "@eslint/*" + - "prettier" + update-types: + - "minor" + - "patch" + # All other minor and patch updates + frontend-minor-patch: + patterns: + - "*" + update-types: + - "minor" + - "patch" + labels: + - "dependencies" + - "frontend" + open-pull-requests-limit: 10 From 88357675ea9ec199c8c8c0c245aba913e30472cf Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 20:45:49 +0000 Subject: [PATCH 54/89] Bump the github-actions group with 7 updates Bumps the github-actions group with 7 updates: | Package | From | To | | --- | --- | --- | | [actions/checkout](https://github.com/actions/checkout) | `2` | `6` | | [actions/setup-python](https://github.com/actions/setup-python) | `2` | `6` | | [docker/build-push-action](https://github.com/docker/build-push-action) | `5` | `6` | | [oven-sh/setup-bun](https://github.com/oven-sh/setup-bun) | `1` | `2` | | [actions/upload-artifact](https://github.com/actions/upload-artifact) | `4` | `5` | | [actions/download-artifact](https://github.com/actions/download-artifact) | `4` | `6` | | [actions/stale](https://github.com/actions/stale) | `9` | `10` | Updates `actions/checkout` from 2 to 6 - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v2...v6) Updates `actions/setup-python` from 2 to 6 - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](https://github.com/actions/setup-python/compare/v2...v6) Updates `docker/build-push-action` from 5 to 6 - [Release notes](https://github.com/docker/build-push-action/releases) - [Commits](https://github.com/docker/build-push-action/compare/v5...v6) Updates `oven-sh/setup-bun` from 1 to 2 - [Release notes](https://github.com/oven-sh/setup-bun/releases) - [Commits](https://github.com/oven-sh/setup-bun/compare/v1...v2) Updates `actions/upload-artifact` from 4 to 5 - [Release notes](https://github.com/actions/upload-artifact/releases) - [Commits](https://github.com/actions/upload-artifact/compare/v4...v5) Updates `actions/download-artifact` from 4 to 6 - [Release notes](https://github.com/actions/download-artifact/releases) - [Commits](https://github.com/actions/download-artifact/compare/v4...v6) Updates `actions/stale` from 9 to 10 - [Release notes](https://github.com/actions/stale/releases) - [Changelog](https://github.com/actions/stale/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/stale/compare/v9...v10) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: actions/setup-python dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: docker/build-push-action dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: oven-sh/setup-bun dependency-version: '2' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: actions/upload-artifact dependency-version: '5' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: actions/download-artifact dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions - dependency-name: actions/stale dependency-version: '10' dependency-type: direct:production update-type: version-update:semver-major dependency-group: github-actions ... Signed-off-by: dependabot[bot] --- .github/workflows/copilot-setup-steps.yml | 4 ++-- .github/workflows/docker-build-lite.yml | 4 ++-- .github/workflows/docker-build-manual.yml | 4 ++-- .github/workflows/docker-publish.yml | 4 ++-- .github/workflows/linting.yaml | 4 ++-- .github/workflows/pypi-publish.yml | 10 +++++----- .github/workflows/stale.yaml | 2 +- 7 files changed, 16 insertions(+), 16 deletions(-) diff --git a/.github/workflows/copilot-setup-steps.yml b/.github/workflows/copilot-setup-steps.yml index 6b946ed1..618b80b4 100644 --- a/.github/workflows/copilot-setup-steps.yml +++ b/.github/workflows/copilot-setup-steps.yml @@ -23,10 +23,10 @@ jobs: # If you do not check out your code, Copilot will do this for you. steps: - name: Checkout code - uses: actions/checkout@v5 + uses: actions/checkout@v6 - name: Set up Python 3.11 - uses: actions/setup-python@v5 + uses: actions/setup-python@v6 with: python-version: '3.11' diff --git a/.github/workflows/docker-build-lite.yml b/.github/workflows/docker-build-lite.yml index 9cbe6289..76ae4cce 100644 --- a/.github/workflows/docker-build-lite.yml +++ b/.github/workflows/docker-build-lite.yml @@ -18,7 +18,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 @@ -66,7 +66,7 @@ jobs: type=raw,value=lite - name: Build and push lite Docker image - uses: docker/build-push-action@v5 + uses: docker/build-push-action@v6 with: context: . file: ./Dockerfile.lite diff --git a/.github/workflows/docker-build-manual.yml b/.github/workflows/docker-build-manual.yml index de459d5a..780a288d 100644 --- a/.github/workflows/docker-build-manual.yml +++ b/.github/workflows/docker-build-manual.yml @@ -18,7 +18,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch all history for tags @@ -61,7 +61,7 @@ jobs: type=raw,value=${{ steps.get_tag.outputs.tag }} - name: Build and push Docker image - uses: docker/build-push-action@v5 + uses: docker/build-push-action@v6 with: context: . file: ./Dockerfile diff --git a/.github/workflows/docker-publish.yml b/.github/workflows/docker-publish.yml index 6c290d59..d0b1a305 100644 --- a/.github/workflows/docker-publish.yml +++ b/.github/workflows/docker-publish.yml @@ -14,7 +14,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout code - uses: actions/checkout@v4 + uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch all history for tags @@ -63,7 +63,7 @@ jobs: type=raw,value=latest,enable=${{ steps.check_prerelease.outputs.is_prerelease == 'false' }} - name: Build and push Docker image - uses: docker/build-push-action@v5 + uses: docker/build-push-action@v6 with: context: . file: ./Dockerfile diff --git a/.github/workflows/linting.yaml b/.github/workflows/linting.yaml index aa054369..7aef7d13 100644 --- a/.github/workflows/linting.yaml +++ b/.github/workflows/linting.yaml @@ -14,10 +14,10 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v2 + uses: actions/checkout@v6 - name: Set up Python - uses: actions/setup-python@v2 + uses: actions/setup-python@v6 with: python-version: '3.x' diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml index 14c2bcc5..3539d8f6 100644 --- a/.github/workflows/pypi-publish.yml +++ b/.github/workflows/pypi-publish.yml @@ -13,13 +13,13 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v4 + - uses: actions/checkout@v6 with: fetch-depth: 0 # Fetch all history for tags # Build frontend WebUI - name: Setup Bun - uses: oven-sh/setup-bun@v1 + uses: oven-sh/setup-bun@v2 with: bun-version: latest @@ -40,7 +40,7 @@ jobs: echo "Frontend files:" ls -lh lightrag/api/webui/ | head -10 - - uses: actions/setup-python@v5 + - uses: actions/setup-python@v6 with: python-version: "3.x" @@ -64,7 +64,7 @@ jobs: python -m build - name: Upload distributions - uses: actions/upload-artifact@v4 + uses: actions/upload-artifact@v5 with: name: release-dists path: dist/ @@ -81,7 +81,7 @@ jobs: steps: - name: Retrieve release distributions - uses: actions/download-artifact@v4 + uses: actions/download-artifact@v6 with: name: release-dists path: dist/ diff --git a/.github/workflows/stale.yaml b/.github/workflows/stale.yaml index 30643dda..34634c9c 100644 --- a/.github/workflows/stale.yaml +++ b/.github/workflows/stale.yaml @@ -13,7 +13,7 @@ jobs: stale: runs-on: ubuntu-latest steps: - - uses: actions/stale@v9 + - uses: actions/stale@v10 with: days-before-stale: 90 # 90 days days-before-close: 7 # 7 days after marked as stale From f93bda585951ea2a743a4db915b1af37ef9feaab Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 04:50:28 +0800 Subject: [PATCH 55/89] Enable numpy updates in dependabot configuration - Re-enable numpy in data-processing group - Remove numpy from ignore list - Allow minor and patch updates - Remove breaking change comment --- .github/dependabot.yml | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index ff191bf1..62ffb6b5 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -57,7 +57,7 @@ updates: # Data processing and ML data-processing: patterns: - # - "numpy" + - "numpy" - "scipy" - "pandas" - "tiktoken" @@ -95,9 +95,6 @@ updates: update-types: - "minor" - "patch" - ignore: - # numpy updates are disabled due to potential breaking changes - - dependency-name: "numpy" labels: - "dependencies" - "python" From 445adfc9cb3d12ece8dbd1c184349c077250ee99 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 05:17:28 +0800 Subject: [PATCH 56/89] Add name to lint-and-format job in GitHub workflow --- .github/workflows/linting.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/linting.yaml b/.github/workflows/linting.yaml index 7aef7d13..499e4ce5 100644 --- a/.github/workflows/linting.yaml +++ b/.github/workflows/linting.yaml @@ -10,6 +10,7 @@ on: jobs: lint-and-format: + name: Linting and Formatting runs-on: ubuntu-latest steps: From 587a930b20badd2cde25b22b30b6ce02eddfdf64 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 22:57:59 +0000 Subject: [PATCH 57/89] Bump the react group in /lightrag_webui with 3 updates Bumps the react group in /lightrag_webui with 3 updates: [react-router-dom](https://github.com/remix-run/react-router/tree/HEAD/packages/react-router-dom), [@types/react](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/react) and [@types/react-dom](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/react-dom). Updates `react-router-dom` from 7.9.4 to 7.9.6 - [Release notes](https://github.com/remix-run/react-router/releases) - [Changelog](https://github.com/remix-run/react-router/blob/main/packages/react-router-dom/CHANGELOG.md) - [Commits](https://github.com/remix-run/react-router/commits/react-router-dom@7.9.6/packages/react-router-dom) Updates `@types/react` from 19.2.2 to 19.2.7 - [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases) - [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/react) Updates `@types/react-dom` from 19.2.1 to 19.2.3 - [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases) - [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/react-dom) --- updated-dependencies: - dependency-name: react-router-dom dependency-version: 7.9.6 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: react - dependency-name: "@types/react" dependency-version: 19.2.7 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: react - dependency-name: "@types/react-dom" dependency-version: 19.2.3 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: react ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 22 ++++++++++++++-------- lightrag_webui/package.json | 6 +++--- 2 files changed, 17 insertions(+), 11 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..3d406e9e 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -51,7 +51,7 @@ "react-i18next": "^15.7.4", "react-markdown": "^9.1.0", "react-number-format": "^5.4.4", - "react-router-dom": "^7.9.4", + "react-router-dom": "^7.9.6", "react-select": "^5.10.2", "react-syntax-highlighter": "^15.6.6", "rehype-katex": "^7.0.1", @@ -76,8 +76,8 @@ "@types/bun": "^1.2.23", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", - "@types/react": "^19.2.2", - "@types/react-dom": "^19.2.1", + "@types/react": "^19.2.7", + "@types/react-dom": "^19.2.3", "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", @@ -568,9 +568,9 @@ "@types/prismjs": ["@types/prismjs@1.26.5", "", {}, "sha512-AUZTa7hQ2KY5L7AmtSiqxlhWxb4ina0yd8hNbl4TWuqnv/pFP0nDMb3YrfSBf4hJVGLh2YEIBfKaBW/9UEl6IQ=="], - "@types/react": ["@types/react@19.2.2", "", { "dependencies": { "csstype": "^3.0.2" } }, "sha512-6mDvHUFSjyT2B2yeNx2nUgMxh9LtOWvkhIU3uePn2I2oyNymUAX1NIsdgviM4CH+JSrp2D2hsMvJOkxY+0wNRA=="], + "@types/react": ["@types/react@19.2.7", "", { "dependencies": { "csstype": "^3.2.2" } }, "sha512-MWtvHrGZLFttgeEj28VXHxpmwYbor/ATPYbBfSFZEIRK0ecCFLl2Qo55z52Hss+UV9CRN7trSeq1zbgx7YDWWg=="], - "@types/react-dom": ["@types/react-dom@19.2.1", "", { "peerDependencies": { "@types/react": "^19.2.0" } }, "sha512-/EEvYBdT3BflCWvTMO7YkYBHVE9Ci6XdqZciZANQgKpaiDRGOLIlRo91jbTNRQjgPFWVaRxcYc0luVNFitz57A=="], + "@types/react-dom": ["@types/react-dom@19.2.3", "", { "peerDependencies": { "@types/react": "^19.2.0" } }, "sha512-jp2L/eY6fn+KgVVQAOqYItbF0VY/YApe5Mz2F0aykSO8gx31bYCZyvSeYxCHKvzHG5eZjc+zyaS5BrBWya2+kQ=="], "@types/react-i18next": ["@types/react-i18next@8.1.0", "", { "dependencies": { "react-i18next": "*" } }, "sha512-d4xhcjX5b3roNMObRNMfb1HinHQlQLPo8xlDj60dnHeeAw2bBymR2cy/l1giJpHzo/ZFgSvgVUvIWr4kCrenCg=="], @@ -722,7 +722,7 @@ "cssesc": ["cssesc@3.0.0", "", { "bin": { "cssesc": "bin/cssesc" } }, "sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg=="], - "csstype": ["csstype@3.1.3", "", {}, "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="], + "csstype": ["csstype@3.2.3", "", {}, "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ=="], "cytoscape": ["cytoscape@3.31.2", "", {}, "sha512-/eOXg2uGdMdpGlEes5Sf6zE+jUG+05f3htFNQIxLxduOH/SsaUZiPBfAwP1btVIVzsnhiNOdi+hvDRLYfMZjGw=="], @@ -1430,9 +1430,9 @@ "react-remove-scroll-bar": ["react-remove-scroll-bar@2.3.8", "", { "dependencies": { "react-style-singleton": "^2.2.2", "tslib": "^2.0.0" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" }, "optionalPeers": ["@types/react"] }, "sha512-9r+yi9+mgU33AKcj6IbT9oRCO78WriSj6t/cF8DWBZJ9aOGPOTEDvdUDz1FwKim7QXWwmHqtdHnRJfhAxEG46Q=="], - "react-router": ["react-router@7.9.4", "", { "dependencies": { "cookie": "^1.0.1", "set-cookie-parser": "^2.6.0" }, "peerDependencies": { "react": ">=18", "react-dom": ">=18" }, "optionalPeers": ["react-dom"] }, "sha512-SD3G8HKviFHg9xj7dNODUKDFgpG4xqD5nhyd0mYoB5iISepuZAvzSr8ywxgxKJ52yRzf/HWtVHc9AWwoTbljvA=="], + "react-router": ["react-router@7.9.6", "", { "dependencies": { "cookie": "^1.0.1", "set-cookie-parser": "^2.6.0" }, "peerDependencies": { "react": ">=18", "react-dom": ">=18" }, "optionalPeers": ["react-dom"] }, "sha512-Y1tUp8clYRXpfPITyuifmSoE2vncSME18uVLgaqyxh9H35JWpIfzHo+9y3Fzh5odk/jxPW29IgLgzcdwxGqyNA=="], - "react-router-dom": ["react-router-dom@7.9.4", "", { "dependencies": { "react-router": "7.9.4" }, "peerDependencies": { "react": ">=18", "react-dom": ">=18" } }, "sha512-f30P6bIkmYvnHHa5Gcu65deIXoA2+r3Eb6PJIAddvsT9aGlchMatJ51GgpU470aSqRRbFX22T70yQNUGuW3DfA=="], + "react-router-dom": ["react-router-dom@7.9.6", "", { "dependencies": { "react-router": "7.9.6" }, "peerDependencies": { "react": ">=18", "react-dom": ">=18" } }, "sha512-2MkC2XSXq6HjGcihnx1s0DBWQETI4mlis4Ux7YTLvP67xnGxCvq+BcCQSO81qQHVUTM1V53tl4iVVaY5sReCOA=="], "react-select": ["react-select@5.10.2", "", { "dependencies": { "@babel/runtime": "^7.12.0", "@emotion/cache": "^11.4.0", "@emotion/react": "^11.8.1", "@floating-ui/dom": "^1.0.1", "@types/react-transition-group": "^4.4.0", "memoize-one": "^6.0.0", "prop-types": "^15.6.0", "react-transition-group": "^4.3.0", "use-isomorphic-layout-effect": "^1.2.0" }, "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0", "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-Z33nHdEFWq9tfnfVXaiM12rbJmk+QjFEztWLtmXqQhz6Al4UZZ9xc0wiatmGtUOCCnHN0WizL3tCMYRENX4rVQ=="], @@ -1688,6 +1688,8 @@ "@emotion/react/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], + "@emotion/serialize/csstype": ["csstype@3.1.3", "", {}, "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="], + "@eslint-community/eslint-utils/eslint-visitor-keys": ["eslint-visitor-keys@3.4.3", "", {}, "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag=="], "@eslint/eslintrc/espree": ["espree@10.4.0", "", { "dependencies": { "acorn": "^8.15.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.1" } }, "sha512-j6PAQ2uUr79PZhBjP5C5fhl8e39FmRnOjsD5lGnWrFU8i2G776tBK7+nP8KuQUTTyAZUwfQqXAgrVH5MbH9CYQ=="], @@ -1742,6 +1744,8 @@ "dom-helpers/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], + "dom-helpers/csstype": ["csstype@3.1.3", "", {}, "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="], + "eslint/eslint-visitor-keys": ["eslint-visitor-keys@4.2.1", "", {}, "sha512-Uhdk5sfqcee/9H/rCOJikYz67o0a2Tw2hGRPOG2Y1R2dg7brRe1uG0yaNQDHu+TO/uQPF/5eCapvYSmHUjt7JQ=="], "eslint/espree": ["espree@10.4.0", "", { "dependencies": { "acorn": "^8.15.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.1" } }, "sha512-j6PAQ2uUr79PZhBjP5C5fhl8e39FmRnOjsD5lGnWrFU8i2G776tBK7+nP8KuQUTTyAZUwfQqXAgrVH5MbH9CYQ=="], @@ -1798,6 +1802,8 @@ "@types/react-i18next/react-i18next/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], + "@types/react-syntax-highlighter/@types/react/csstype": ["csstype@3.1.3", "", {}, "sha512-M1uQkMl8rQK/szD0LNhtqxIPLpimGm8sOBwU7lLnCpSbTyY3yeU1Vc7l4KT5zT4s/yOxHH5O7tIuuLOCnLADRw=="], + "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="], "cytoscape-fcose/cose-base/layout-base": ["layout-base@2.0.1", "", {}, "sha512-dp3s92+uNI1hWIpPGH3jK2kxE2lMjdXdr+DH8ynZHpd6PUlH6x6cbuXnoMmiNumznqaNO31xu9e79F0uuZ0JFg=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index e2891a7f..2ec556a0 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -63,7 +63,7 @@ "react-i18next": "^15.7.4", "react-markdown": "^9.1.0", "react-number-format": "^5.4.4", - "react-router-dom": "^7.9.4", + "react-router-dom": "^7.9.6", "react-select": "^5.10.2", "react-syntax-highlighter": "^15.6.6", "rehype-katex": "^7.0.1", @@ -88,8 +88,8 @@ "@types/katex": "^0.16.7", "@types/node": "^22.18.9", "@tailwindcss/typography": "^0.5.15", - "@types/react": "^19.2.2", - "@types/react-dom": "^19.2.1", + "@types/react": "^19.2.7", + "@types/react-dom": "^19.2.3", "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", From 15bfd9fa7b76c50a184b89d37a22eac4682aadf7 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 22:58:47 +0000 Subject: [PATCH 58/89] Bump the ui-components group in /lightrag_webui with 7 updates Bumps the ui-components group in /lightrag_webui with 7 updates: | Package | From | To | | --- | --- | --- | | [@radix-ui/react-progress](https://github.com/radix-ui/primitives) | `1.1.7` | `1.1.8` | | [@radix-ui/react-separator](https://github.com/radix-ui/primitives) | `1.1.7` | `1.1.8` | | [@radix-ui/react-slot](https://github.com/radix-ui/primitives) | `1.2.3` | `1.2.4` | | [lucide-react](https://github.com/lucide-icons/lucide/tree/HEAD/packages/lucide-react) | `0.475.0` | `0.554.0` | | [tailwind-merge](https://github.com/dcastil/tailwind-merge) | `3.3.1` | `3.4.0` | | [@tailwindcss/vite](https://github.com/tailwindlabs/tailwindcss/tree/HEAD/packages/@tailwindcss-vite) | `4.1.14` | `4.1.17` | | [tailwindcss](https://github.com/tailwindlabs/tailwindcss/tree/HEAD/packages/tailwindcss) | `4.1.14` | `4.1.17` | Updates `@radix-ui/react-progress` from 1.1.7 to 1.1.8 - [Changelog](https://github.com/radix-ui/primitives/blob/main/release-process.md) - [Commits](https://github.com/radix-ui/primitives/commits) Updates `@radix-ui/react-separator` from 1.1.7 to 1.1.8 - [Changelog](https://github.com/radix-ui/primitives/blob/main/release-process.md) - [Commits](https://github.com/radix-ui/primitives/commits) Updates `@radix-ui/react-slot` from 1.2.3 to 1.2.4 - [Changelog](https://github.com/radix-ui/primitives/blob/main/release-process.md) - [Commits](https://github.com/radix-ui/primitives/commits) Updates `lucide-react` from 0.475.0 to 0.554.0 - [Release notes](https://github.com/lucide-icons/lucide/releases) - [Commits](https://github.com/lucide-icons/lucide/commits/0.554.0/packages/lucide-react) Updates `tailwind-merge` from 3.3.1 to 3.4.0 - [Release notes](https://github.com/dcastil/tailwind-merge/releases) - [Commits](https://github.com/dcastil/tailwind-merge/compare/v3.3.1...v3.4.0) Updates `@tailwindcss/vite` from 4.1.14 to 4.1.17 - [Release notes](https://github.com/tailwindlabs/tailwindcss/releases) - [Changelog](https://github.com/tailwindlabs/tailwindcss/blob/main/CHANGELOG.md) - [Commits](https://github.com/tailwindlabs/tailwindcss/commits/v4.1.17/packages/@tailwindcss-vite) Updates `tailwindcss` from 4.1.14 to 4.1.17 - [Release notes](https://github.com/tailwindlabs/tailwindcss/releases) - [Changelog](https://github.com/tailwindlabs/tailwindcss/blob/main/CHANGELOG.md) - [Commits](https://github.com/tailwindlabs/tailwindcss/commits/v4.1.17/packages/tailwindcss) --- updated-dependencies: - dependency-name: "@radix-ui/react-progress" dependency-version: 1.1.8 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: ui-components - dependency-name: "@radix-ui/react-separator" dependency-version: 1.1.8 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: ui-components - dependency-name: "@radix-ui/react-slot" dependency-version: 1.2.4 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: ui-components - dependency-name: lucide-react dependency-version: 0.554.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: ui-components - dependency-name: tailwind-merge dependency-version: 3.4.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: ui-components - dependency-name: "@tailwindcss/vite" dependency-version: 4.1.17 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: ui-components - dependency-name: tailwindcss dependency-version: 4.1.17 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: ui-components ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 122 +++++++++++++++++++++++------------- lightrag_webui/package.json | 14 ++--- 2 files changed, 86 insertions(+), 50 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..e0763d0d 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -9,11 +9,11 @@ "@radix-ui/react-checkbox": "^1.3.3", "@radix-ui/react-dialog": "^1.1.15", "@radix-ui/react-popover": "^1.1.15", - "@radix-ui/react-progress": "^1.1.7", + "@radix-ui/react-progress": "^1.1.8", "@radix-ui/react-scroll-area": "^1.2.10", "@radix-ui/react-select": "^2.2.6", - "@radix-ui/react-separator": "^1.1.7", - "@radix-ui/react-slot": "^1.2.3", + "@radix-ui/react-separator": "^1.1.8", + "@radix-ui/react-slot": "^1.2.4", "@radix-ui/react-tabs": "^1.1.13", "@radix-ui/react-tooltip": "^1.2.8", "@radix-ui/react-use-controllable-state": "^1.2.2", @@ -41,7 +41,7 @@ "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", "katex": "^0.16.23", - "lucide-react": "^0.475.0", + "lucide-react": "^0.554.0", "mermaid": "^11.12.0", "minisearch": "^7.2.0", "react": "^19.2.0", @@ -62,7 +62,7 @@ "seedrandom": "^3.0.5", "sigma": "^3.0.2", "sonner": "^1.7.4", - "tailwind-merge": "^3.3.1", + "tailwind-merge": "^3.4.0", "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", "unist-util-visit": "^5.0.0", @@ -72,7 +72,7 @@ "@eslint/js": "^9.37.0", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/typography": "^0.5.15", - "@tailwindcss/vite": "^4.1.14", + "@tailwindcss/vite": "^4.1.17", "@types/bun": "^1.2.23", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", @@ -91,7 +91,7 @@ "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.6.14", - "tailwindcss": "^4.1.14", + "tailwindcss": "^4.1.17", "tailwindcss-animate": "^1.0.7", "typescript": "~5.7.3", "typescript-eslint": "^8.46.0", @@ -250,8 +250,6 @@ "@iconify/utils": ["@iconify/utils@3.0.2", "", { "dependencies": { 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"@radix-ui/react-tabs": "^1.1.13", "@radix-ui/react-tooltip": "^1.2.8", "@radix-ui/react-use-controllable-state": "^1.2.2", @@ -53,7 +53,7 @@ "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", "katex": "^0.16.23", - "lucide-react": "^0.475.0", + "lucide-react": "^0.554.0", "mermaid": "^11.12.0", "minisearch": "^7.2.0", "react": "^19.2.0", @@ -74,7 +74,7 @@ "seedrandom": "^3.0.5", "sigma": "^3.0.2", "sonner": "^1.7.4", - "tailwind-merge": "^3.3.1", + "tailwind-merge": "^3.4.0", "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", "unist-util-visit": "^5.0.0", @@ -83,7 +83,7 @@ "devDependencies": { "@eslint/js": "^9.37.0", "@stylistic/eslint-plugin-js": "^3.1.0", - "@tailwindcss/vite": "^4.1.14", + "@tailwindcss/vite": "^4.1.17", "@types/bun": "^1.2.23", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", @@ -103,7 +103,7 @@ "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.6.14", - "tailwindcss": "^4.1.14", + "tailwindcss": "^4.1.17", "tailwindcss-animate": "^1.0.7", "typescript": "~5.7.3", "typescript-eslint": "^8.46.0", From 245c0c322b37a27aced11a97c067ede15cdf69cc Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 22:59:24 +0000 Subject: [PATCH 59/89] Bump the build-tools group in /lightrag_webui with 4 updates Bumps the build-tools group in /lightrag_webui with 4 updates: [@eslint/js](https://github.com/eslint/eslint/tree/HEAD/packages/js), [eslint](https://github.com/eslint/eslint), [eslint-plugin-react-refresh](https://github.com/ArnaudBarre/eslint-plugin-react-refresh) and [typescript](https://github.com/microsoft/TypeScript). Updates `@eslint/js` from 9.37.0 to 9.39.1 - [Release notes](https://github.com/eslint/eslint/releases) - [Commits](https://github.com/eslint/eslint/commits/v9.39.1/packages/js) Updates `eslint` from 9.37.0 to 9.39.1 - [Release notes](https://github.com/eslint/eslint/releases) - [Commits](https://github.com/eslint/eslint/compare/v9.37.0...v9.39.1) Updates `eslint-plugin-react-refresh` from 0.4.23 to 0.4.24 - [Release notes](https://github.com/ArnaudBarre/eslint-plugin-react-refresh/releases) - [Changelog](https://github.com/ArnaudBarre/eslint-plugin-react-refresh/blob/main/CHANGELOG.md) - [Commits](https://github.com/ArnaudBarre/eslint-plugin-react-refresh/compare/v0.4.23...v0.4.24) Updates `typescript` from 5.7.3 to 5.9.3 - [Release notes](https://github.com/microsoft/TypeScript/releases) - [Commits](https://github.com/microsoft/TypeScript/compare/v5.7.3...v5.9.3) --- updated-dependencies: - dependency-name: "@eslint/js" dependency-version: 9.39.1 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: build-tools - dependency-name: eslint dependency-version: 9.39.1 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: build-tools - dependency-name: eslint-plugin-react-refresh dependency-version: 0.4.24 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: build-tools - dependency-name: typescript dependency-version: 5.9.3 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: build-tools ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 26 +++++++++++++------------- lightrag_webui/package.json | 8 ++++---- 2 files changed, 17 insertions(+), 17 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..095caf2c 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -69,7 +69,7 @@ "zustand": "^5.0.8", }, "devDependencies": { - "@eslint/js": "^9.37.0", + "@eslint/js": "^9.39.1", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/typography": "^0.5.15", "@tailwindcss/vite": "^4.1.14", @@ -82,18 +82,18 @@ "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", "@vitejs/plugin-react-swc": "^3.11.0", - "eslint": "^9.37.0", + "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", "eslint-plugin-react-hooks": "^5.2.0", - "eslint-plugin-react-refresh": "^0.4.23", + "eslint-plugin-react-refresh": "^0.4.24", "globals": "^15.15.0", "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.6.14", "tailwindcss": "^4.1.14", "tailwindcss-animate": "^1.0.7", - 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"typescript": ["typescript@5.7.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-84MVSjMEHP+FQRPy3pX9sTVV/INIex71s9TL2Gm5FG/WG1SqXeKyZ0k7/blY/4FdOzI12CBy1vGc4og/eus0fw=="], + "typescript": ["typescript@5.9.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="], "typescript-eslint": ["typescript-eslint@8.46.0", "", { "dependencies": { "@typescript-eslint/eslint-plugin": "8.46.0", "@typescript-eslint/parser": "8.46.0", "@typescript-eslint/typescript-estree": "8.46.0", "@typescript-eslint/utils": "8.46.0" }, "peerDependencies": { "eslint": "^8.57.0 || ^9.0.0", "typescript": ">=4.8.4 <6.0.0" } }, "sha512-6+ZrB6y2bT2DX3K+Qd9vn7OFOJR+xSLDj+Aw/N3zBwUt27uTw2sw2TE2+UcY1RiyBZkaGbTkVg9SSdPNUG6aUw=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index e2891a7f..004f2afd 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -81,7 +81,7 @@ "zustand": "^5.0.8" }, "devDependencies": { - "@eslint/js": "^9.37.0", + "@eslint/js": "^9.39.1", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/vite": "^4.1.14", "@types/bun": "^1.2.23", @@ -94,18 +94,18 @@ "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", "@vitejs/plugin-react-swc": "^3.11.0", - "eslint": "^9.37.0", + "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", "eslint-plugin-react-hooks": "^5.2.0", - "eslint-plugin-react-refresh": "^0.4.23", + "eslint-plugin-react-refresh": "^0.4.24", "globals": "^15.15.0", "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.6.14", "tailwindcss": "^4.1.14", "tailwindcss-animate": "^1.0.7", - "typescript": "~5.7.3", + "typescript": "~5.9.3", "typescript-eslint": "^8.46.0", "vite": "^6.3.6" } From f4acb25c586635af7e434ae296ea838593f81101 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 23:00:26 +0000 Subject: [PATCH 60/89] Bump the frontend-minor-patch group in /lightrag_webui with 6 updates Bumps the frontend-minor-patch group in /lightrag_webui with 6 updates: | Package | From | To | | --- | --- | --- | | [axios](https://github.com/axios/axios) | `1.12.2` | `1.13.2` | | [katex](https://github.com/KaTeX/KaTeX) | `0.16.23` | `0.16.25` | | [mermaid](https://github.com/mermaid-js/mermaid) | `11.12.0` | `11.12.1` | | [@types/bun](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/bun) | `1.2.23` | `1.3.3` | | [prettier-plugin-tailwindcss](https://github.com/tailwindlabs/prettier-plugin-tailwindcss) | `0.6.14` | `0.7.1` | | [typescript-eslint](https://github.com/typescript-eslint/typescript-eslint/tree/HEAD/packages/typescript-eslint) | `8.46.0` | `8.48.0` | Updates `axios` from 1.12.2 to 1.13.2 - [Release notes](https://github.com/axios/axios/releases) - [Changelog](https://github.com/axios/axios/blob/v1.x/CHANGELOG.md) - [Commits](https://github.com/axios/axios/compare/v1.12.2...v1.13.2) Updates `katex` from 0.16.23 to 0.16.25 - [Release notes](https://github.com/KaTeX/KaTeX/releases) - [Changelog](https://github.com/KaTeX/KaTeX/blob/main/CHANGELOG.md) - [Commits](https://github.com/KaTeX/KaTeX/compare/v0.16.23...v0.16.25) Updates `mermaid` from 11.12.0 to 11.12.1 - [Release notes](https://github.com/mermaid-js/mermaid/releases) - [Commits](https://github.com/mermaid-js/mermaid/compare/mermaid@11.12.0...mermaid@11.12.1) Updates `@types/bun` from 1.2.23 to 1.3.3 - [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases) - [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/bun) Updates `prettier-plugin-tailwindcss` from 0.6.14 to 0.7.1 - [Release notes](https://github.com/tailwindlabs/prettier-plugin-tailwindcss/releases) - [Changelog](https://github.com/tailwindlabs/prettier-plugin-tailwindcss/blob/main/CHANGELOG.md) - [Commits](https://github.com/tailwindlabs/prettier-plugin-tailwindcss/compare/v0.6.14...v0.7.1) Updates `typescript-eslint` from 8.46.0 to 8.48.0 - [Release notes](https://github.com/typescript-eslint/typescript-eslint/releases) - [Changelog](https://github.com/typescript-eslint/typescript-eslint/blob/main/packages/typescript-eslint/CHANGELOG.md) - [Commits](https://github.com/typescript-eslint/typescript-eslint/commits/v8.48.0/packages/typescript-eslint) --- updated-dependencies: - dependency-name: axios dependency-version: 1.13.2 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: frontend-minor-patch - dependency-name: katex dependency-version: 0.16.25 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: frontend-minor-patch - dependency-name: mermaid dependency-version: 11.12.1 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: frontend-minor-patch - dependency-name: "@types/bun" dependency-version: 1.3.3 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: frontend-minor-patch - dependency-name: prettier-plugin-tailwindcss dependency-version: 0.7.1 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: frontend-minor-patch - dependency-name: typescript-eslint dependency-version: 8.48.0 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: frontend-minor-patch ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 82 +++++++++++-------------------------- lightrag_webui/package.json | 12 +++--- 2 files changed, 31 insertions(+), 63 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..b023070b 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -29,7 +29,7 @@ "@sigma/edge-curve": "^3.1.0", "@sigma/node-border": "^3.0.0", "@tanstack/react-table": "^8.21.3", - "axios": "^1.12.2", + "axios": "^1.13.2", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "^1.1.1", @@ -40,9 +40,9 @@ "graphology-layout-forceatlas2": "^0.10.1", "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", - "katex": "^0.16.23", + "katex": "^0.16.25", "lucide-react": "^0.475.0", - "mermaid": "^11.12.0", + "mermaid": "^11.12.1", "minisearch": "^7.2.0", "react": "^19.2.0", "react-dom": "^19.2.0", @@ -73,7 +73,7 @@ "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/typography": "^0.5.15", "@tailwindcss/vite": "^4.1.14", - 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"micromatch/picomatch": ["picomatch@2.3.1", "", {}, "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA=="], - "mlly/pkg-types": ["pkg-types@1.3.1", "", { "dependencies": { "confbox": "^0.1.8", "mlly": "^1.7.4", "pathe": "^2.0.1" } }, "sha512-/Jm5M4RvtBFVkKWRu2BLUTNP8/M2a+UwuAX+ae4770q1qVGtfjG+WTCupoZixokjmHiry8uI+dlY8KXYV5HVVQ=="], "object.entries/call-bound": ["call-bound@1.0.4", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "get-intrinsic": "^1.3.0" } }, "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index e2891a7f..f5ebf90d 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -41,7 +41,7 @@ "@sigma/edge-curve": "^3.1.0", "@sigma/node-border": "^3.0.0", "@tanstack/react-table": "^8.21.3", - "axios": "^1.12.2", + "axios": "^1.13.2", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "^1.1.1", @@ -52,9 +52,9 @@ "graphology-layout-forceatlas2": "^0.10.1", "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", - "katex": "^0.16.23", + "katex": "^0.16.25", "lucide-react": "^0.475.0", - "mermaid": "^11.12.0", + "mermaid": "^11.12.1", "minisearch": "^7.2.0", "react": "^19.2.0", "react-dom": "^19.2.0", @@ -84,7 +84,7 @@ "@eslint/js": "^9.37.0", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/vite": "^4.1.14", - "@types/bun": "^1.2.23", + "@types/bun": "^1.3.3", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", "@tailwindcss/typography": "^0.5.15", @@ -102,11 +102,11 @@ "globals": "^15.15.0", "graphology-types": "^0.24.8", "prettier": "^3.6.2", - "prettier-plugin-tailwindcss": "^0.6.14", + "prettier-plugin-tailwindcss": "^0.7.1", "tailwindcss": "^4.1.14", "tailwindcss-animate": "^1.0.7", "typescript": "~5.7.3", - "typescript-eslint": "^8.46.0", + "typescript-eslint": "^8.48.0", "vite": "^6.3.6" } } From 1f3d70062f720fbe7f264b0b9ee5cb5bc145f033 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 23:00:33 +0000 Subject: [PATCH 61/89] Bump @stylistic/eslint-plugin-js from 3.1.0 to 4.4.1 in /lightrag_webui Bumps [@stylistic/eslint-plugin-js](https://github.com/eslint-stylistic/eslint-stylistic/tree/HEAD/packages/eslint-plugin-js) from 3.1.0 to 4.4.1. - [Release notes](https://github.com/eslint-stylistic/eslint-stylistic/releases) - [Changelog](https://github.com/eslint-stylistic/eslint-stylistic/blob/v4.4.1/CHANGELOG.md) - [Commits](https://github.com/eslint-stylistic/eslint-stylistic/commits/v4.4.1/packages/eslint-plugin-js) --- updated-dependencies: - dependency-name: "@stylistic/eslint-plugin-js" dependency-version: 4.4.1 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 26 +++++++------------------- lightrag_webui/package.json | 2 +- 2 files changed, 8 insertions(+), 20 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..0207adf3 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -70,7 +70,7 @@ }, "devDependencies": { "@eslint/js": "^9.37.0", - "@stylistic/eslint-plugin-js": "^3.1.0", + "@stylistic/eslint-plugin-js": "^4.4.1", "@tailwindcss/typography": "^0.5.15", "@tailwindcss/vite": "^4.1.14", "@types/bun": "^1.2.23", @@ -416,7 +416,7 @@ "@sigma/node-border": ["@sigma/node-border@3.0.0", "", { "peerDependencies": { "sigma": ">=3.0.0-beta.17" } }, "sha512-mE3zUfjvJVuAMhSjiP/zdlkqe0OVTETxd04XHUwof01YqdzTk0OB4ACJIhWrwgsBXl7tTd9lPuKoroafLh8MtQ=="], - "@stylistic/eslint-plugin-js": ["@stylistic/eslint-plugin-js@3.1.0", "", { "dependencies": { "eslint-visitor-keys": "^4.2.0", "espree": "^10.3.0" }, "peerDependencies": { "eslint": ">=8.40.0" } }, "sha512-lQktsOiCr8S6StG29C5fzXYxLOD6ID1rp4j6TRS+E/qY1xd59Fm7dy5qm9UauJIEoSTlYx6yGsCHYh5UkgXPyg=="], + "@stylistic/eslint-plugin-js": ["@stylistic/eslint-plugin-js@4.4.1", "", { "dependencies": { "eslint-visitor-keys": "^4.2.0", "espree": "^10.3.0" }, "peerDependencies": { "eslint": ">=9.0.0" } }, "sha512-eLisyHvx7Sel8vcFZOEwDEBGmYsYM1SqDn81BWgmbqEXfXRf8oe6Rwp+ryM/8odNjlxtaaxp0Ihmt86CnLAxKg=="], "@swc/core": ["@swc/core@1.13.5", "", { "dependencies": { "@swc/counter": "^0.1.3", "@swc/types": "^0.1.24" }, "optionalDependencies": { "@swc/core-darwin-arm64": "1.13.5", "@swc/core-darwin-x64": "1.13.5", "@swc/core-linux-arm-gnueabihf": "1.13.5", "@swc/core-linux-arm64-gnu": "1.13.5", "@swc/core-linux-arm64-musl": "1.13.5", "@swc/core-linux-x64-gnu": "1.13.5", "@swc/core-linux-x64-musl": "1.13.5", "@swc/core-win32-arm64-msvc": "1.13.5", "@swc/core-win32-ia32-msvc": "1.13.5", "@swc/core-win32-x64-msvc": "1.13.5" }, "peerDependencies": { "@swc/helpers": ">=0.5.17" }, "optionalPeers": ["@swc/helpers"] }, "sha512-WezcBo8a0Dg2rnR82zhwoR6aRNxeTGfK5QCD6TQ+kg3xx/zNT02s/0o+81h/3zhvFSB24NtqEr8FTw88O5W/JQ=="], @@ -610,7 +610,7 @@ "@yomguithereal/helpers": ["@yomguithereal/helpers@1.1.1", "", {}, "sha512-UYvAq/XCA7xoh1juWDYsq3W0WywOB+pz8cgVnE1b45ZfdMhBvHDrgmSFG3jXeZSr2tMTYLGHFHON+ekG05Jebg=="], - "acorn": ["acorn@8.14.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-cl669nCJTZBsL97OF4kUQm5g5hC2uihk0NxY3WENAC0TYdILVkAyHymAntgxGkl7K+t0cXIrH5siy5S4XkFycA=="], + "acorn": ["acorn@8.15.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg=="], "acorn-jsx": ["acorn-jsx@5.3.2", "", { "peerDependencies": { "acorn": "^6.0.0 || ^7.0.0 || ^8.0.0" } }, "sha512-rq9s+JNhf0IChjtDXxllJ7g41oZk5SlXtp0LHwyA5cejwn7vKmKp4pPri6YEePv2PU65sAsegbXtIinmDFDXgQ=="], @@ -874,9 +874,9 @@ "eslint-scope": ["eslint-scope@8.4.0", "", { "dependencies": { "esrecurse": "^4.3.0", "estraverse": "^5.2.0" } }, "sha512-sNXOfKCn74rt8RICKMvJS7XKV/Xk9kA7DyJr8mJik3S7Cwgy3qlkkmyS2uQB3jiJg6VNdZd/pDBJu0nvG2NlTg=="], - "eslint-visitor-keys": ["eslint-visitor-keys@4.2.0", "", {}, "sha512-UyLnSehNt62FFhSwjZlHmeokpRK59rcz29j+F1/aDgbkbRTk7wIc9XzdoasMUbRNKDM0qQt/+BJ4BrpFeABemw=="], + "eslint-visitor-keys": ["eslint-visitor-keys@4.2.1", "", {}, "sha512-Uhdk5sfqcee/9H/rCOJikYz67o0a2Tw2hGRPOG2Y1R2dg7brRe1uG0yaNQDHu+TO/uQPF/5eCapvYSmHUjt7JQ=="], - "espree": ["espree@10.3.0", "", { "dependencies": { "acorn": "^8.14.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.0" } }, "sha512-0QYC8b24HWY8zjRnDTL6RiHfDbAWn63qb4LMj1Z4b076A4une81+z03Kg7l7mn/48PUTqoLptSXez8oknU8Clg=="], + "espree": ["espree@10.4.0", "", { "dependencies": { "acorn": "^8.15.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.1" } }, "sha512-j6PAQ2uUr79PZhBjP5C5fhl8e39FmRnOjsD5lGnWrFU8i2G776tBK7+nP8KuQUTTyAZUwfQqXAgrVH5MbH9CYQ=="], "esquery": ["esquery@1.6.0", "", { "dependencies": { "estraverse": "^5.1.0" } }, "sha512-ca9pw9fomFcKPvFLXhBKUK90ZvGibiGOvRJNbjljY7s7uq/5YO4BOzcYtJqExdx99rF6aAcnRxHmcUHcz6sQsg=="], @@ -1690,8 +1690,6 @@ "@eslint-community/eslint-utils/eslint-visitor-keys": ["eslint-visitor-keys@3.4.3", "", {}, "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag=="], - "@eslint/eslintrc/espree": ["espree@10.4.0", "", { "dependencies": { "acorn": "^8.15.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.1" } }, "sha512-j6PAQ2uUr79PZhBjP5C5fhl8e39FmRnOjsD5lGnWrFU8i2G776tBK7+nP8KuQUTTyAZUwfQqXAgrVH5MbH9CYQ=="], - "@eslint/eslintrc/globals": ["globals@14.0.0", "", {}, "sha512-oahGvuMGQlPw/ivIYBjVSrWAfWLBeku5tpPE2fOPLi+WHffIWbuh2tCjhyQhTBPMf5E9jDEH4FOmTYgYwbKwtQ=="], "@humanfs/node/@humanwhocodes/retry": ["@humanwhocodes/retry@0.3.1", "", {}, "sha512-JBxkERygn7Bv/GbN5Rv8Ul6LVknS+5Bp6RgDC/O8gEBU/yeH5Ui5C/OlWrTb6qct7LjjfT6Re2NxB0ln0yYybA=="], @@ -1724,8 +1722,6 @@ "@typescript-eslint/typescript-estree/semver": ["semver@7.7.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-hlq8tAfn0m/61p4BVRcPzIGr6LKiMwo4VM6dGi6pt4qcRkmNzTcWq6eCEjEh+qXjkMDvPlOFFSGwQjoEa6gyMA=="], - "@typescript-eslint/visitor-keys/eslint-visitor-keys": ["eslint-visitor-keys@4.2.1", "", {}, "sha512-Uhdk5sfqcee/9H/rCOJikYz67o0a2Tw2hGRPOG2Y1R2dg7brRe1uG0yaNQDHu+TO/uQPF/5eCapvYSmHUjt7JQ=="], - "babel-plugin-macros/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], "babel-plugin-macros/resolve": ["resolve@1.22.10", "", { "dependencies": { "is-core-module": "^2.16.0", "path-parse": "^1.0.7", "supports-preserve-symlinks-flag": "^1.0.0" }, "bin": { "resolve": "bin/resolve" } }, "sha512-NPRy+/ncIMeDlTAsuqwKIiferiawhefFJtkNSW0qZJEqMEb+qBt/77B/jGeeek+F0uOeN05CDa6HXbbIgtVX4w=="], @@ -1742,10 +1738,6 @@ "dom-helpers/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], - "eslint/eslint-visitor-keys": ["eslint-visitor-keys@4.2.1", "", {}, "sha512-Uhdk5sfqcee/9H/rCOJikYz67o0a2Tw2hGRPOG2Y1R2dg7brRe1uG0yaNQDHu+TO/uQPF/5eCapvYSmHUjt7JQ=="], - - "eslint/espree": ["espree@10.4.0", "", { "dependencies": { "acorn": "^8.15.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.1" } }, "sha512-j6PAQ2uUr79PZhBjP5C5fhl8e39FmRnOjsD5lGnWrFU8i2G776tBK7+nP8KuQUTTyAZUwfQqXAgrVH5MbH9CYQ=="], - "fast-glob/glob-parent": ["glob-parent@5.1.2", "", { "dependencies": { "is-glob": "^4.0.1" } }, "sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow=="], "hast-util-from-dom/hastscript": ["hastscript@9.0.1", "", { "dependencies": { "@types/hast": "^3.0.0", "comma-separated-tokens": "^2.0.0", "hast-util-parse-selector": "^4.0.0", "property-information": "^7.0.0", "space-separated-tokens": "^2.0.0" } }, "sha512-g7df9rMFX/SPi34tyGCyUBREQoKkapwdY/T04Qn9TDWfHhAYt4/I0gMVirzK5wEzeUqIjEB+LXC/ypb7Aqno5w=="], @@ -1774,6 +1766,8 @@ "micromatch/picomatch": ["picomatch@2.3.1", "", {}, "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA=="], + "mlly/acorn": ["acorn@8.14.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-cl669nCJTZBsL97OF4kUQm5g5hC2uihk0NxY3WENAC0TYdILVkAyHymAntgxGkl7K+t0cXIrH5siy5S4XkFycA=="], + "mlly/pkg-types": ["pkg-types@1.3.1", "", { "dependencies": { "confbox": "^0.1.8", "mlly": "^1.7.4", "pathe": "^2.0.1" } }, "sha512-/Jm5M4RvtBFVkKWRu2BLUTNP8/M2a+UwuAX+ae4770q1qVGtfjG+WTCupoZixokjmHiry8uI+dlY8KXYV5HVVQ=="], "object.entries/call-bound": ["call-bound@1.0.4", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "get-intrinsic": "^1.3.0" } }, "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg=="], @@ -1792,10 +1786,6 @@ "stringify-entities/character-entities-legacy": ["character-entities-legacy@3.0.0", "", {}, "sha512-RpPp0asT/6ufRm//AJVwpViZbGM/MkjQFxJccQRHmISF/22NBtsHqAWmL+/pmkPWoIUJdWyeVleTl1wydHATVQ=="], - "@eslint/eslintrc/espree/acorn": ["acorn@8.15.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg=="], - - "@eslint/eslintrc/espree/eslint-visitor-keys": ["eslint-visitor-keys@4.2.1", "", {}, "sha512-Uhdk5sfqcee/9H/rCOJikYz67o0a2Tw2hGRPOG2Y1R2dg7brRe1uG0yaNQDHu+TO/uQPF/5eCapvYSmHUjt7JQ=="], - "@types/react-i18next/react-i18next/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="], @@ -1804,8 +1794,6 @@ "d3-sankey/d3-shape/d3-path": ["d3-path@1.0.9", "", {}, "sha512-VLaYcn81dtHVTjEHd8B+pbe9yHWpXKZUC87PzoFmsFrJqgFwDe/qxfp5MlfsfM1V5E/iVt0MmEbWQ7FVIXh/bg=="], - "eslint/espree/acorn": ["acorn@8.15.0", "", { "bin": { "acorn": "bin/acorn" } }, "sha512-NZyJarBfL7nWwIq+FDL6Zp/yHEhePMNnnJ0y3qfieCrmNvYct8uvtiV41UvlSe6apAfk0fY1FbWx+NwfmpvtTg=="], - "hast-util-from-dom/hastscript/hast-util-parse-selector": ["hast-util-parse-selector@4.0.0", "", { "dependencies": { "@types/hast": "^3.0.0" } }, "sha512-wkQCkSYoOGCRKERFWcxMVMOcYE2K1AaNLU8DXS9arxnLOUEWbOXKXiJUNzEpqZ3JOKpnha3jkFrumEjVliDe7A=="], "hast-util-from-dom/hastscript/property-information": ["property-information@7.1.0", "", {}, "sha512-TwEZ+X+yCJmYfL7TPUOcvBZ4QfoT5YenQiJuX//0th53DE6w0xxLEtfK3iyryQFddXuvkIk51EEgrJQ0WJkOmQ=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index e2891a7f..27a92baa 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -82,7 +82,7 @@ }, "devDependencies": { "@eslint/js": "^9.37.0", - "@stylistic/eslint-plugin-js": "^3.1.0", + "@stylistic/eslint-plugin-js": "^4.4.1", "@tailwindcss/vite": "^4.1.14", "@types/bun": "^1.2.23", "@types/katex": "^0.16.7", From e2431b67bb967749998d6af2d9314ceff4feb59d Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 23:00:40 +0000 Subject: [PATCH 62/89] Bump @vitejs/plugin-react-swc from 3.11.0 to 4.2.0 in /lightrag_webui Bumps [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/tree/HEAD/packages/plugin-react-swc) from 3.11.0 to 4.2.0. - [Release notes](https://github.com/vitejs/vite-plugin-react/releases) - [Changelog](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite-plugin-react/commits/v4.2.0/packages/plugin-react-swc) --- updated-dependencies: - dependency-name: "@vitejs/plugin-react-swc" dependency-version: 4.2.0 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 6 +++--- lightrag_webui/package.json | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..1f6623b1 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -81,7 +81,7 @@ "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", - "@vitejs/plugin-react-swc": "^3.11.0", + "@vitejs/plugin-react-swc": "^4.2.0", "eslint": "^9.37.0", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", @@ -366,7 +366,7 @@ "@react-sigma/minimap": ["@react-sigma/minimap@5.0.5", "", { "dependencies": { "@react-sigma/core": "^5.0.4" } }, "sha512-LCktqQodkGm65vRhLgIDQDGjtWxplwcWzOoNeYKtMpN/j0797V4k5eueEpg+4x7Ex+PNRQcYyh0TgmNhA25hFw=="], - "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.0-beta.27", "", {}, "sha512-+d0F4MKMCbeVUJwG96uQ4SgAznZNSq93I3V+9NHA4OpvqG8mRCpGdKmK8l/dl02h2CCDHwW2FqilnTyDcAnqjA=="], + "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.0-beta.43", "", {}, "sha512-5Uxg7fQUCmfhax7FJke2+8B6cqgeUJUD9o2uXIKXhD+mG0mL6NObmVoi9wXEU1tY89mZKgAYA6fTbftx3q2ZPQ=="], "@rollup/rollup-android-arm-eabi": ["@rollup/rollup-android-arm-eabi@4.52.4", "", { "os": "android", "cpu": "arm" }, "sha512-BTm2qKNnWIQ5auf4deoetINJm2JzvihvGb9R6K/ETwKLql/Bb3Eg2H1FBp1gUb4YGbydMA3jcmQTR73q7J+GAA=="], @@ -606,7 +606,7 @@ "@ungap/structured-clone": ["@ungap/structured-clone@1.3.0", "", {}, "sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g=="], - "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@3.11.0", "", { "dependencies": { "@rolldown/pluginutils": "1.0.0-beta.27", "@swc/core": "^1.12.11" }, "peerDependencies": { "vite": "^4 || ^5 || ^6 || ^7" } }, "sha512-YTJCGFdNMHCMfjODYtxRNVAYmTWQ1Lb8PulP/2/f/oEEtglw8oKxKIZmmRkyXrVrHfsKOaVkAc3NT9/dMutO5w=="], + "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@4.2.0", "", { "dependencies": { "@rolldown/pluginutils": "1.0.0-beta.43", "@swc/core": "^1.13.5" }, "peerDependencies": { "vite": "^4 || ^5 || ^6 || ^7" } }, "sha512-/tesahXD1qpkGC6FzMoFOJj0RyZdw9xLELOL+6jbElwmWfwOnIVy+IfpY+o9JfD9PKaR/Eyb6DNrvbXpuvA+8Q=="], "@yomguithereal/helpers": ["@yomguithereal/helpers@1.1.1", "", {}, "sha512-UYvAq/XCA7xoh1juWDYsq3W0WywOB+pz8cgVnE1b45ZfdMhBvHDrgmSFG3jXeZSr2tMTYLGHFHON+ekG05Jebg=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index e2891a7f..2c17c959 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -93,7 +93,7 @@ "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", - "@vitejs/plugin-react-swc": "^3.11.0", + "@vitejs/plugin-react-swc": "^4.2.0", "eslint": "^9.37.0", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", From 9ae1c7fcead40672c4ce1d50c6140f7c18864943 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 23:00:57 +0000 Subject: [PATCH 63/89] Bump react-error-boundary from 5.0.0 to 6.0.0 in /lightrag_webui Bumps [react-error-boundary](https://github.com/bvaughn/react-error-boundary) from 5.0.0 to 6.0.0. - [Release notes](https://github.com/bvaughn/react-error-boundary/releases) - [Commits](https://github.com/bvaughn/react-error-boundary/compare/5.0.0...6.0.0) --- updated-dependencies: - dependency-name: react-error-boundary dependency-version: 6.0.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 6 ++---- lightrag_webui/package.json | 2 +- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 661837c4..dad8a0a2 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -47,7 +47,7 @@ "react": "^19.2.0", "react-dom": "^19.2.0", "react-dropzone": "^14.3.8", - "react-error-boundary": "^5.0.0", + "react-error-boundary": "^6.0.0", "react-i18next": "^15.7.4", "react-markdown": "^9.1.0", "react-number-format": "^5.4.4", @@ -1416,7 +1416,7 @@ "react-dropzone": ["react-dropzone@14.3.8", "", { "dependencies": { "attr-accept": "^2.2.4", "file-selector": "^2.1.0", "prop-types": "^15.8.1" }, "peerDependencies": { "react": ">= 16.8 || 18.0.0" } }, "sha512-sBgODnq+lcA4P296DY4wacOZz3JFpD99fp+hb//iBO2HHnyeZU3FwWyXJ6salNpqQdsZrgMrotuko/BdJMV8Ug=="], - "react-error-boundary": ["react-error-boundary@5.0.0", "", { "dependencies": { "@babel/runtime": "^7.12.5" }, "peerDependencies": { "react": ">=16.13.1" } }, "sha512-tnjAxG+IkpLephNcePNA7v6F/QpWLH8He65+DmedchDwg162JZqx4NmbXj0mlAYVVEd81OW7aFhmbsScYfiAFQ=="], + "react-error-boundary": ["react-error-boundary@6.0.0", "", { "dependencies": { "@babel/runtime": "^7.12.5" }, "peerDependencies": { "react": ">=16.13.1" } }, "sha512-gdlJjD7NWr0IfkPlaREN2d9uUZUlksrfOx7SX62VRerwXbMY6ftGCIZua1VG1aXFNOimhISsTq+Owp725b9SiA=="], "react-i18next": ["react-i18next@15.7.4", "", { "dependencies": { "@babel/runtime": "^7.27.6", "html-parse-stringify": "^3.0.1" }, "peerDependencies": { "i18next": ">= 23.4.0", "react": ">= 16.8.0", "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-nyU8iKNrI5uDJch0z9+Y5XEr34b0wkyYj3Rp+tfbahxtlswxSCjcUL9H0nqXo9IR3/t5Y5PKIA3fx3MfUyR9Xw=="], @@ -1778,8 +1778,6 @@ "object.entries/call-bound": ["call-bound@1.0.4", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "get-intrinsic": "^1.3.0" } }, "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg=="], - "react-error-boundary/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], - "react-select/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], "react-syntax-highlighter/@babel/runtime": ["@babel/runtime@7.26.7", "", { "dependencies": { "regenerator-runtime": "^0.14.0" } }, "sha512-AOPI3D+a8dXnja+iwsUqGRjr1BbZIe771sXdapOtYI531gSqpi92vXivKcq2asu/DFpdl1ceFAKZyRzK2PCVcQ=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index e2891a7f..236fb9c7 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -59,7 +59,7 @@ "react": "^19.2.0", "react-dom": "^19.2.0", "react-dropzone": "^14.3.8", - "react-error-boundary": "^5.0.0", + "react-error-boundary": "^6.0.0", "react-i18next": "^15.7.4", "react-markdown": "^9.1.0", "react-number-format": "^5.4.4", From 9425277fd9c1233ae27da9d5f65e5b9551ff6a46 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 11:12:32 +0800 Subject: [PATCH 64/89] Improve dependabot config with better docs and numpy ignore rule MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Add detailed PR strategy comments • Ignore numpy major version updates • Group dependency updates by category • Document update types per ecosystem • Enhance configuration readability --- .github/dependabot.yml | 27 +++++++++++++++++++++++---- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 62ffb6b5..15138dab 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -3,8 +3,11 @@ # https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#package-ecosystem version: 2 updates: - # Enable version updates for GitHub Actions - # Workflow files stored in the default location of `.github/workflows` + # ============================================================ + # GitHub Actions + # PR Strategy: + # - All updates (major/minor/patch): Grouped into a single PR + # ============================================================ - package-ecosystem: github-actions directory: / groups: @@ -18,7 +21,13 @@ updates: - "github-actions" open-pull-requests-limit: 5 - # Configuration for pip (Python dependencies) + # ============================================================ + # Python (pip) Dependencies + # PR Strategy: + # - Major updates: Individual PR per package (except numpy which is ignored) + # - Minor updates: Grouped by category (llm-providers, storage, etc.) + # - Patch updates: Grouped by category + # ============================================================ - package-ecosystem: "pip" directory: "/" schedule: @@ -95,12 +104,22 @@ updates: update-types: - "minor" - "patch" + ignore: + - dependency-name: "numpy" + update-types: + - "version-update:semver-major" labels: - "dependencies" - "python" open-pull-requests-limit: 10 - # Configuration for bun (Frontend dependencies) + # ============================================================ + # Frontend (bun) Dependencies + # PR Strategy: + # - Major updates: Individual PR per package + # - Minor updates: Grouped by category (react, ui-components, etc.) + # - Patch updates: Grouped by category + # ============================================================ - package-ecosystem: "bun" directory: "/lightrag_webui" schedule: From 459e4ddc091227ad7eaab1f5c27378c5e20243db Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 11:58:03 +0800 Subject: [PATCH 65/89] Clean up duplicate dependencies in package.json and lock file MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Remove duplicate katex entries • Remove duplicate lucide-react entries • Remove duplicate mermaid entries • Remove duplicate @types/bun entries • Fix trailing commas in JSON --- lightrag_webui/bun.lock | 20 +++++--------------- lightrag_webui/package.json | 10 ---------- 2 files changed, 5 insertions(+), 25 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 87a05591..4bd90ea2 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -41,11 +41,8 @@ "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", "katex": "^0.16.25", - "lucide-react": "^0.475.0", "mermaid": "^11.12.1", - "katex": "^0.16.23", "lucide-react": "^0.554.0", - "mermaid": "^11.12.0", "minisearch": "^7.2.0", "react": "^19.2.0", "react-dom": "^19.2.0", @@ -69,16 +66,14 @@ "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", "unist-util-visit": "^5.0.0", - "zustand": "^5.0.8", + "zustand": "^5.0.8" }, "devDependencies": { "@eslint/js": "^9.39.1", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/typography": "^0.5.15", - "@tailwindcss/vite": "^4.1.14", "@types/bun": "^1.3.3", "@tailwindcss/vite": "^4.1.17", - "@types/bun": "^1.2.23", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", "@types/react": "^19.2.7", @@ -96,18 +91,13 @@ "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.7.1", - "tailwindcss": "^4.1.14", "tailwindcss-animate": "^1.0.7", - "typescript": "~5.7.3", "typescript-eslint": "^8.48.0", - "prettier-plugin-tailwindcss": "^0.6.14", "tailwindcss": "^4.1.17", - "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", - "typescript-eslint": "^8.46.0", - "vite": "^6.3.6", - }, - }, + "vite": "^6.3.6" + } + } }, "packages": { "@antfu/install-pkg": ["@antfu/install-pkg@1.1.0", "", { "dependencies": { "package-manager-detector": "^1.3.0", "tinyexec": "^1.0.1" } }, "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ=="], @@ -1852,6 +1842,6 @@ "object.entries/call-bound/get-intrinsic": ["get-intrinsic@1.3.0", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "es-define-property": "^1.0.1", "es-errors": "^1.3.0", "es-object-atoms": "^1.1.1", "function-bind": "^1.1.2", "get-proto": "^1.0.1", "gopd": "^1.2.0", "has-symbols": "^1.1.0", "hasown": "^2.0.2", "math-intrinsics": "^1.1.0" } }, "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ=="], - "mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="], + "mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="] } } diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index a71290d4..25ad8eb6 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -53,11 +53,8 @@ "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", "katex": "^0.16.25", - "lucide-react": "^0.475.0", "mermaid": "^11.12.1", - "katex": "^0.16.23", "lucide-react": "^0.554.0", - "mermaid": "^11.12.0", "minisearch": "^7.2.0", "react": "^19.2.0", "react-dom": "^19.2.0", @@ -86,10 +83,8 @@ "devDependencies": { "@eslint/js": "^9.39.1", "@stylistic/eslint-plugin-js": "^3.1.0", - "@tailwindcss/vite": "^4.1.14", "@types/bun": "^1.3.3", "@tailwindcss/vite": "^4.1.17", - "@types/bun": "^1.2.23", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", "@tailwindcss/typography": "^0.5.15", @@ -108,15 +103,10 @@ "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.7.1", - "tailwindcss": "^4.1.14", - "tailwindcss-animate": "^1.0.7", - "typescript": "~5.7.3", "typescript-eslint": "^8.48.0", - "prettier-plugin-tailwindcss": "^0.6.14", "tailwindcss": "^4.1.17", "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", - "typescript-eslint": "^8.46.0", "vite": "^6.3.6" } } From 1d12f49759a56e7593ab78e033a1b8da58986af4 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:01:13 +0000 Subject: [PATCH 66/89] Bump i18next from 24.2.3 to 25.6.0 in /lightrag_webui Bumps [i18next](https://github.com/i18next/i18next) from 24.2.3 to 25.6.0. - [Release notes](https://github.com/i18next/i18next/releases) - [Changelog](https://github.com/i18next/i18next/blob/master/CHANGELOG.md) - [Commits](https://github.com/i18next/i18next/compare/v24.2.3...v25.6.0) --- updated-dependencies: - dependency-name: i18next dependency-version: 25.6.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 22 +++++++++++----------- lightrag_webui/package.json | 2 +- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 4bd90ea2..12a0b3c1 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -39,10 +39,10 @@ "graphology-layout-force": "^0.2.4", "graphology-layout-forceatlas2": "^0.10.1", "graphology-layout-noverlap": "^0.4.2", - "i18next": "^24.2.3", + "i18next": "^25.6.0", "katex": "^0.16.25", - "mermaid": "^11.12.1", "lucide-react": "^0.554.0", + "mermaid": "^11.12.1", "minisearch": "^7.2.0", "react": "^19.2.0", "react-dom": "^19.2.0", @@ -66,14 +66,14 @@ "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", "unist-util-visit": "^5.0.0", - "zustand": "^5.0.8" + "zustand": "^5.0.8", }, "devDependencies": { "@eslint/js": "^9.39.1", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/typography": "^0.5.15", - "@types/bun": "^1.3.3", "@tailwindcss/vite": "^4.1.17", + "@types/bun": "^1.3.3", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", "@types/react": "^19.2.7", @@ -91,13 +91,13 @@ "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.7.1", - "tailwindcss-animate": "^1.0.7", - "typescript-eslint": "^8.48.0", "tailwindcss": "^4.1.17", + "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", - "vite": "^6.3.6" - } - } + "typescript-eslint": "^8.48.0", + "vite": "^6.3.6", + }, + }, }, "packages": { "@antfu/install-pkg": ["@antfu/install-pkg@1.1.0", "", { "dependencies": { "package-manager-detector": "^1.3.0", "tinyexec": "^1.0.1" } }, "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ=="], @@ -1016,7 +1016,7 @@ "html-void-elements": ["html-void-elements@3.0.0", "", {}, "sha512-bEqo66MRXsUGxWHV5IP0PUiAWwoEjba4VCzg0LjFJBpchPaTfyfCKTG6bc5F8ucKec3q5y6qOdGyYTSBEvhCrg=="], - "i18next": ["i18next@24.2.3", "", { "dependencies": { "@babel/runtime": "^7.26.10" }, "peerDependencies": { "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-lfbf80OzkocvX7nmZtu7nSTNbrTYR52sLWxPtlXX1zAhVw8WEnFk4puUkCR4B1dNQwbSpEHHHemcZu//7EcB7A=="], + "i18next": ["i18next@25.6.0", "", { "dependencies": { "@babel/runtime": "^7.27.6" }, "peerDependencies": { "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-tTn8fLrwBYtnclpL5aPXK/tAYBLWVvoHM1zdfXoRNLcI+RvtMsoZRV98ePlaW3khHYKuNh/Q65W/+NVFUeIwVw=="], "iconv-lite": ["iconv-lite@0.6.3", "", { "dependencies": { "safer-buffer": ">= 2.1.2 < 3.0.0" } }, "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw=="], @@ -1842,6 +1842,6 @@ "object.entries/call-bound/get-intrinsic": ["get-intrinsic@1.3.0", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "es-define-property": "^1.0.1", "es-errors": "^1.3.0", "es-object-atoms": "^1.1.1", "function-bind": "^1.1.2", "get-proto": "^1.0.1", "gopd": "^1.2.0", "has-symbols": "^1.1.0", "hasown": "^2.0.2", "math-intrinsics": "^1.1.0" } }, "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ=="], - "mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="] + "mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="], } } diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index 25ad8eb6..3af0a70b 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -51,7 +51,7 @@ "graphology-layout-force": "^0.2.4", "graphology-layout-forceatlas2": "^0.10.1", "graphology-layout-noverlap": "^0.4.2", - "i18next": "^24.2.3", + "i18next": "^25.6.0", "katex": "^0.16.25", "mermaid": "^11.12.1", "lucide-react": "^0.554.0", From 883c5dc0a0b79ecdaf39dfeb53003f12bc8b771c Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 12:03:30 +0800 Subject: [PATCH 67/89] Update dependabot config with new groupings and patterns - Add typescript-eslint grouping - Include prettier-* patterns - Add @types/bun dependency - Create content-rendering group - Group katex and mermaid updates --- .github/dependabot.yml | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 15138dab..54026a3e 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -169,7 +169,18 @@ updates: - "typescript" - "eslint*" - "@eslint/*" + - "typescript-eslint" - "prettier" + - "prettier-*" + - "@types/bun" + update-types: + - "minor" + - "patch" + # Content rendering libraries (math, diagrams, etc.) + content-rendering: + patterns: + - "katex" + - "mermaid" update-types: - "minor" - "patch" From 42b09b10da728d2b9776e5003e4183c1fb46dcda Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:08:48 +0000 Subject: [PATCH 68/89] Bump globals from 15.15.0 to 16.5.0 in /lightrag_webui Bumps [globals](https://github.com/sindresorhus/globals) from 15.15.0 to 16.5.0. - [Release notes](https://github.com/sindresorhus/globals/releases) - [Commits](https://github.com/sindresorhus/globals/compare/v15.15.0...v16.5.0) --- updated-dependencies: - dependency-name: globals dependency-version: 16.5.0 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 24 +++++++++++++----------- lightrag_webui/package.json | 2 +- 2 files changed, 14 insertions(+), 12 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 4bd90ea2..686be70b 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -41,8 +41,8 @@ "graphology-layout-noverlap": "^0.4.2", "i18next": "^24.2.3", "katex": "^0.16.25", - "mermaid": "^11.12.1", "lucide-react": "^0.554.0", + "mermaid": "^11.12.1", "minisearch": "^7.2.0", "react": "^19.2.0", "react-dom": "^19.2.0", @@ -66,14 +66,14 @@ "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", "unist-util-visit": "^5.0.0", - "zustand": "^5.0.8" + "zustand": "^5.0.8", }, "devDependencies": { "@eslint/js": "^9.39.1", "@stylistic/eslint-plugin-js": "^3.1.0", "@tailwindcss/typography": "^0.5.15", - "@types/bun": "^1.3.3", "@tailwindcss/vite": "^4.1.17", + "@types/bun": "^1.3.3", "@types/katex": "^0.16.7", "@types/node": "^22.18.9", "@types/react": "^19.2.7", @@ -87,17 +87,17 @@ "eslint-plugin-react": "^7.37.5", "eslint-plugin-react-hooks": "^5.2.0", "eslint-plugin-react-refresh": "^0.4.24", - "globals": "^15.15.0", + "globals": "^16.5.0", "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.7.1", - "tailwindcss-animate": "^1.0.7", - "typescript-eslint": "^8.48.0", "tailwindcss": "^4.1.17", + "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", - "vite": "^6.3.6" - } - } + "typescript-eslint": "^8.48.0", + "vite": "^6.3.6", + }, + }, }, "packages": { "@antfu/install-pkg": ["@antfu/install-pkg@1.1.0", "", { "dependencies": { "package-manager-detector": "^1.3.0", "tinyexec": "^1.0.1" } }, "sha512-MGQsmw10ZyI+EJo45CdSER4zEb+p31LpDAFp2Z3gkSd1yqVZGi0Ebx++YTEMonJy4oChEMLsxZ64j8FH6sSqtQ=="], @@ -930,7 +930,7 @@ "glob-parent": ["glob-parent@6.0.2", "", { "dependencies": { "is-glob": "^4.0.3" } }, "sha512-XxwI8EOhVQgWp6iDL+3b0r86f4d6AX6zSU55HfB4ydCEuXLXc5FcYeOu+nnGftS4TEju/11rt4KJPTMgbfmv4A=="], - "globals": ["globals@15.15.0", "", {}, "sha512-7ACyT3wmyp3I61S4fG682L0VA2RGD9otkqGJIwNUMF1SWUombIIk+af1unuDYgMm082aHYwD+mzJvv9Iu8dsgg=="], + "globals": ["globals@16.5.0", "", {}, "sha512-c/c15i26VrJ4IRt5Z89DnIzCGDn9EcebibhAOjw5ibqEHsE1wLUgkPn9RDmNcUKyU87GeaL633nyJ+pplFR2ZQ=="], "globalthis": ["globalthis@1.0.4", "", { "dependencies": { "define-properties": "^1.2.1", "gopd": "^1.0.1" } }, "sha512-DpLKbNU4WylpxJykQujfCcwYWiV/Jhm50Goo0wrVILAv5jOr9d+H+UR3PhSCD2rCCEIg0uc+G+muBTwD54JhDQ=="], @@ -1660,6 +1660,8 @@ "@humanfs/node/@humanwhocodes/retry": ["@humanwhocodes/retry@0.3.1", "", {}, "sha512-JBxkERygn7Bv/GbN5Rv8Ul6LVknS+5Bp6RgDC/O8gEBU/yeH5Ui5C/OlWrTb6qct7LjjfT6Re2NxB0ln0yYybA=="], + "@iconify/utils/globals": ["globals@15.15.0", "", {}, "sha512-7ACyT3wmyp3I61S4fG682L0VA2RGD9otkqGJIwNUMF1SWUombIIk+af1unuDYgMm082aHYwD+mzJvv9Iu8dsgg=="], + "@jridgewell/gen-mapping/@jridgewell/sourcemap-codec": ["@jridgewell/sourcemap-codec@1.5.0", "", {}, "sha512-gv3ZRaISU3fjPAgNsriBRqGWQL6quFx04YMPW/zD8XMLsU32mhCCbfbO6KZFLjvYpCZ8zyDEgqsgf+PwPaM7GQ=="], "@jridgewell/trace-mapping/@jridgewell/sourcemap-codec": ["@jridgewell/sourcemap-codec@1.5.0", "", {}, "sha512-gv3ZRaISU3fjPAgNsriBRqGWQL6quFx04YMPW/zD8XMLsU32mhCCbfbO6KZFLjvYpCZ8zyDEgqsgf+PwPaM7GQ=="], @@ -1842,6 +1844,6 @@ "object.entries/call-bound/get-intrinsic": ["get-intrinsic@1.3.0", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "es-define-property": "^1.0.1", "es-errors": "^1.3.0", "es-object-atoms": "^1.1.1", "function-bind": "^1.1.2", "get-proto": "^1.0.1", "gopd": "^1.2.0", "has-symbols": "^1.1.0", "hasown": "^2.0.2", "math-intrinsics": "^1.1.0" } }, "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ=="], - "mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="] + "mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="], } } diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index 25ad8eb6..d3bd87a9 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -99,7 +99,7 @@ "eslint-plugin-react": "^7.37.5", "eslint-plugin-react-hooks": "^5.2.0", "eslint-plugin-react-refresh": "^0.4.24", - "globals": "^15.15.0", + "globals": "^16.5.0", "graphology-types": "^0.24.8", "prettier": "^3.6.2", "prettier-plugin-tailwindcss": "^0.7.1", From bd487a45ccf0ffa6200d8a7ecf94c87ff8b7c5a5 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:27:02 +0000 Subject: [PATCH 69/89] Bump @vitejs/plugin-react-swc from 3.11.0 to 4.2.0 in /lightrag_webui Bumps [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/tree/HEAD/packages/plugin-react-swc) from 3.11.0 to 4.2.0. - [Release notes](https://github.com/vitejs/vite-plugin-react/releases) - [Changelog](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite-plugin-react/commits/v4.2.0/packages/plugin-react-swc) --- updated-dependencies: - dependency-name: "@vitejs/plugin-react-swc" dependency-version: 4.2.0 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 6 +++--- lightrag_webui/package.json | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 6e9c15aa..d03cb449 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -81,7 +81,7 @@ "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", - "@vitejs/plugin-react-swc": "^3.11.0", + "@vitejs/plugin-react-swc": "^4.2.0", "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", @@ -358,7 +358,7 @@ "@react-sigma/minimap": ["@react-sigma/minimap@5.0.5", "", { "dependencies": { "@react-sigma/core": "^5.0.4" } }, "sha512-LCktqQodkGm65vRhLgIDQDGjtWxplwcWzOoNeYKtMpN/j0797V4k5eueEpg+4x7Ex+PNRQcYyh0TgmNhA25hFw=="], - "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.0-beta.27", "", {}, "sha512-+d0F4MKMCbeVUJwG96uQ4SgAznZNSq93I3V+9NHA4OpvqG8mRCpGdKmK8l/dl02h2CCDHwW2FqilnTyDcAnqjA=="], + "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.0-beta.43", "", {}, "sha512-5Uxg7fQUCmfhax7FJke2+8B6cqgeUJUD9o2uXIKXhD+mG0mL6NObmVoi9wXEU1tY89mZKgAYA6fTbftx3q2ZPQ=="], "@rollup/rollup-android-arm-eabi": ["@rollup/rollup-android-arm-eabi@4.52.4", "", { "os": "android", "cpu": "arm" }, "sha512-BTm2qKNnWIQ5auf4deoetINJm2JzvihvGb9R6K/ETwKLql/Bb3Eg2H1FBp1gUb4YGbydMA3jcmQTR73q7J+GAA=="], @@ -598,7 +598,7 @@ "@ungap/structured-clone": ["@ungap/structured-clone@1.3.0", "", {}, "sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g=="], - "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@3.11.0", "", { "dependencies": { "@rolldown/pluginutils": "1.0.0-beta.27", "@swc/core": "^1.12.11" }, "peerDependencies": { "vite": "^4 || ^5 || ^6 || ^7" } }, "sha512-YTJCGFdNMHCMfjODYtxRNVAYmTWQ1Lb8PulP/2/f/oEEtglw8oKxKIZmmRkyXrVrHfsKOaVkAc3NT9/dMutO5w=="], + "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@4.2.0", "", { "dependencies": { "@rolldown/pluginutils": "1.0.0-beta.43", "@swc/core": "^1.13.5" }, "peerDependencies": { "vite": "^4 || ^5 || ^6 || ^7" } }, "sha512-/tesahXD1qpkGC6FzMoFOJj0RyZdw9xLELOL+6jbElwmWfwOnIVy+IfpY+o9JfD9PKaR/Eyb6DNrvbXpuvA+8Q=="], "@yomguithereal/helpers": ["@yomguithereal/helpers@1.1.1", "", {}, "sha512-UYvAq/XCA7xoh1juWDYsq3W0WywOB+pz8cgVnE1b45ZfdMhBvHDrgmSFG3jXeZSr2tMTYLGHFHON+ekG05Jebg=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index c91cdb66..d9312e90 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -93,7 +93,7 @@ "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", - "@vitejs/plugin-react-swc": "^3.11.0", + "@vitejs/plugin-react-swc": "^4.2.0", "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", From 0ca71a575135eb88789057baded75a226e396b27 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:31:19 +0000 Subject: [PATCH 70/89] Bump sonner from 1.7.4 to 2.0.7 in /lightrag_webui Bumps [sonner](https://github.com/emilkowalski/sonner) from 1.7.4 to 2.0.7. - [Release notes](https://github.com/emilkowalski/sonner/releases) - [Commits](https://github.com/emilkowalski/sonner/commits/v2.0.7) --- updated-dependencies: - dependency-name: sonner dependency-version: 2.0.7 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 4 ++-- lightrag_webui/package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 6e9c15aa..040fb7b2 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -61,7 +61,7 @@ "remark-math": "^6.0.0", "seedrandom": "^3.0.5", "sigma": "^3.0.2", - "sonner": "^1.7.4", + "sonner": "^2.0.7", "tailwind-merge": "^3.4.0", "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", @@ -1486,7 +1486,7 @@ "sigma": ["sigma@3.0.2", "", { "dependencies": { "events": "^3.3.0", "graphology-utils": "^2.5.2" } }, "sha512-/BUbeOwPGruiBOm0YQQ6ZMcLIZ6tf/W+Jcm7dxZyAX0tK3WP9/sq7/NAWBxPIxVahdGjCJoGwej0Gdrv0DxlQQ=="], - "sonner": ["sonner@1.7.4", "", { "peerDependencies": { "react": "^18.0.0 || ^19.0.0 || ^19.0.0-rc", "react-dom": "^18.0.0 || ^19.0.0 || ^19.0.0-rc" } }, "sha512-DIS8z4PfJRbIyfVFDVnK9rO3eYDtse4Omcm6bt0oEr5/jtLgysmjuBl1frJ9E/EQZrFmKx2A8m/s5s9CRXIzhw=="], + "sonner": ["sonner@2.0.7", "", { "peerDependencies": { "react": "^18.0.0 || ^19.0.0 || ^19.0.0-rc", "react-dom": "^18.0.0 || ^19.0.0 || ^19.0.0-rc" } }, "sha512-W6ZN4p58k8aDKA4XPcx2hpIQXBRAgyiWVkYhT7CvK6D3iAu7xjvVyhQHg2/iaKJZ1XVJ4r7XuwGL+WGEK37i9w=="], "source-map": ["source-map@0.5.7", "", {}, "sha512-LbrmJOMUSdEVxIKvdcJzQC+nQhe8FUZQTXQy6+I75skNgn3OoQ0DZA8YnFa7gp8tqtL3KPf1kmo0R5DoApeSGQ=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index c91cdb66..c8d623b1 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -73,7 +73,7 @@ "remark-math": "^6.0.0", "seedrandom": "^3.0.5", "sigma": "^3.0.2", - "sonner": "^1.7.4", + "sonner": "^2.0.7", "tailwind-merge": "^3.4.0", "tailwind-scrollbar": "^4.0.2", "typography": "^0.16.24", From 5ca4792c4b5d7b5e3c107e361f4fb8b4d4b8d967 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:31:27 +0000 Subject: [PATCH 71/89] Bump @faker-js/faker from 9.9.0 to 10.1.0 in /lightrag_webui Bumps [@faker-js/faker](https://github.com/faker-js/faker) from 9.9.0 to 10.1.0. - [Release notes](https://github.com/faker-js/faker/releases) - [Changelog](https://github.com/faker-js/faker/blob/next/CHANGELOG.md) - [Commits](https://github.com/faker-js/faker/compare/v9.9.0...v10.1.0) --- updated-dependencies: - dependency-name: "@faker-js/faker" dependency-version: 10.1.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 4 ++-- lightrag_webui/package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 6e9c15aa..e362d74d 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -4,7 +4,7 @@ "": { "name": "lightrag-webui", "dependencies": { - "@faker-js/faker": "^9.9.0", + "@faker-js/faker": "^10.1.0", "@radix-ui/react-alert-dialog": "^1.1.15", "@radix-ui/react-checkbox": "^1.3.3", "@radix-ui/react-dialog": "^1.1.15", @@ -228,7 +228,7 @@ "@eslint/plugin-kit": ["@eslint/plugin-kit@0.4.1", "", { "dependencies": { "@eslint/core": "^0.17.0", "levn": "^0.4.1" } }, "sha512-43/qtrDUokr7LJqoF2c3+RInu/t4zfrpYdoSDfYyhg52rwLV6TnOvdG4fXm7IkSB3wErkcmJS9iEhjVtOSEjjA=="], - "@faker-js/faker": ["@faker-js/faker@9.9.0", "", {}, "sha512-OEl393iCOoo/z8bMezRlJu+GlRGlsKbUAN7jKB6LhnKoqKve5DXRpalbItIIcwnCjs1k/FOPjFzcA6Qn+H+YbA=="], + "@faker-js/faker": ["@faker-js/faker@10.1.0", "", {}, "sha512-C3mrr3b5dRVlKPJdfrAXS8+dq+rq8Qm5SNRazca0JKgw1HQERFmrVb0towvMmw5uu8hHKNiQasMaR/tydf3Zsg=="], "@floating-ui/core": ["@floating-ui/core@1.6.9", "", { "dependencies": { "@floating-ui/utils": "^0.2.9" } }, "sha512-uMXCuQ3BItDUbAMhIXw7UPXRfAlOAvZzdK9BWpE60MCn+Svt3aLn9jsPTi/WNGlRUu2uI0v5S7JiIUsbsvh3fw=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index c91cdb66..6d68f62b 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -16,7 +16,7 @@ "preview-no-bun": "vite preview" }, "dependencies": { - "@faker-js/faker": "^9.9.0", + "@faker-js/faker": "^10.1.0", "@radix-ui/react-alert-dialog": "^1.1.15", "@radix-ui/react-checkbox": "^1.3.3", "@radix-ui/react-dialog": "^1.1.15", From 29bd027a0df67b67ba4ca8314af8fe6f6a83ceb2 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:39:45 +0000 Subject: [PATCH 72/89] Bump @vitejs/plugin-react-swc Bumps the build-tools group in /lightrag_webui with 1 update: [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/tree/HEAD/packages/plugin-react-swc). Updates `@vitejs/plugin-react-swc` from 4.2.0 to 4.2.2 - [Release notes](https://github.com/vitejs/vite-plugin-react/releases) - [Changelog](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite-plugin-react/commits/plugin-react-swc@4.2.2/packages/plugin-react-swc) --- updated-dependencies: - dependency-name: "@vitejs/plugin-react-swc" dependency-version: 4.2.2 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: build-tools ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 6 +++--- lightrag_webui/package.json | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 296d5f5e..7043fe1d 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -81,7 +81,7 @@ "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", - "@vitejs/plugin-react-swc": "^4.2.0", + "@vitejs/plugin-react-swc": "^4.2.2", "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", @@ -358,7 +358,7 @@ "@react-sigma/minimap": ["@react-sigma/minimap@5.0.5", "", { "dependencies": { "@react-sigma/core": "^5.0.4" } }, "sha512-LCktqQodkGm65vRhLgIDQDGjtWxplwcWzOoNeYKtMpN/j0797V4k5eueEpg+4x7Ex+PNRQcYyh0TgmNhA25hFw=="], - "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.0-beta.43", "", {}, "sha512-5Uxg7fQUCmfhax7FJke2+8B6cqgeUJUD9o2uXIKXhD+mG0mL6NObmVoi9wXEU1tY89mZKgAYA6fTbftx3q2ZPQ=="], + "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.0-beta.47", "", {}, "sha512-8QagwMH3kNCuzD8EWL8R2YPW5e4OrHNSAHRFDdmFqEwEaD/KcNKjVoumo+gP2vW5eKB2UPbM6vTYiGZX0ixLnw=="], "@rollup/rollup-android-arm-eabi": ["@rollup/rollup-android-arm-eabi@4.52.4", "", { "os": "android", "cpu": "arm" }, "sha512-BTm2qKNnWIQ5auf4deoetINJm2JzvihvGb9R6K/ETwKLql/Bb3Eg2H1FBp1gUb4YGbydMA3jcmQTR73q7J+GAA=="], @@ -598,7 +598,7 @@ "@ungap/structured-clone": ["@ungap/structured-clone@1.3.0", "", {}, "sha512-WmoN8qaIAo7WTYWbAZuG8PYEhn5fkz7dZrqTBZ7dtt//lL2Gwms1IcnQ5yHqjDfX8Ft5j4YzDM23f87zBfDe9g=="], - "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@4.2.0", "", { "dependencies": { "@rolldown/pluginutils": "1.0.0-beta.43", "@swc/core": "^1.13.5" }, "peerDependencies": { "vite": "^4 || ^5 || ^6 || ^7" } }, "sha512-/tesahXD1qpkGC6FzMoFOJj0RyZdw9xLELOL+6jbElwmWfwOnIVy+IfpY+o9JfD9PKaR/Eyb6DNrvbXpuvA+8Q=="], + "@vitejs/plugin-react-swc": ["@vitejs/plugin-react-swc@4.2.2", "", { "dependencies": { "@rolldown/pluginutils": "1.0.0-beta.47", "@swc/core": "^1.13.5" }, "peerDependencies": { "vite": "^4 || ^5 || ^6 || ^7" } }, "sha512-x+rE6tsxq/gxrEJN3Nv3dIV60lFflPj94c90b+NNo6n1QV1QQUTLoL0MpaOVasUZ0zqVBn7ead1B5ecx1JAGfA=="], "@yomguithereal/helpers": ["@yomguithereal/helpers@1.1.1", "", {}, "sha512-UYvAq/XCA7xoh1juWDYsq3W0WywOB+pz8cgVnE1b45ZfdMhBvHDrgmSFG3jXeZSr2tMTYLGHFHON+ekG05Jebg=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index cc0cb95e..54bc8dd5 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -93,7 +93,7 @@ "@types/react-i18next": "^8.1.0", "@types/react-syntax-highlighter": "^15.5.13", "@types/seedrandom": "^3.0.8", - "@vitejs/plugin-react-swc": "^4.2.0", + "@vitejs/plugin-react-swc": "^4.2.2", "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", From 2bb9ec13a1d2c055ce847b8a3ff7a815c8a9b29f Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:49:02 +0000 Subject: [PATCH 73/89] Bump eslint-plugin-react-hooks from 5.2.0 to 7.0.1 in /lightrag_webui Bumps [eslint-plugin-react-hooks](https://github.com/facebook/react/tree/HEAD/packages/eslint-plugin-react-hooks) from 5.2.0 to 7.0.1. - [Release notes](https://github.com/facebook/react/releases) - [Changelog](https://github.com/facebook/react/blob/main/packages/eslint-plugin-react-hooks/CHANGELOG.md) - [Commits](https://github.com/facebook/react/commits/HEAD/packages/eslint-plugin-react-hooks) --- updated-dependencies: - dependency-name: eslint-plugin-react-hooks dependency-version: 7.0.1 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 112 +++++++++++++++++++++++++++++++----- lightrag_webui/package.json | 2 +- 2 files changed, 100 insertions(+), 14 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 296d5f5e..04ee1f04 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -85,7 +85,7 @@ "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", - "eslint-plugin-react-hooks": "^5.2.0", + "eslint-plugin-react-hooks": "^7.0.1", "eslint-plugin-react-refresh": "^0.4.24", "globals": "^16.5.0", "graphology-types": "^0.24.8", @@ -104,25 +104,39 @@ "@antfu/utils": ["@antfu/utils@9.3.0", "", {}, "sha512-9hFT4RauhcUzqOE4f1+frMKLZrgNog5b06I7VmZQV1BkvwvqrbC8EBZf3L1eEL2AKb6rNKjER0sEvJiSP1FXEA=="], - "@babel/code-frame": ["@babel/code-frame@7.26.2", "", { "dependencies": { "@babel/helper-validator-identifier": "^7.25.9", "js-tokens": "^4.0.0", "picocolors": "^1.0.0" } }, 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b/lightrag_webui/package.json @@ -97,7 +97,7 @@ "eslint": "^9.39.1", "eslint-config-prettier": "^10.1.8", "eslint-plugin-react": "^7.37.5", - "eslint-plugin-react-hooks": "^5.2.0", + "eslint-plugin-react-hooks": "^7.0.1", "eslint-plugin-react-refresh": "^0.4.24", "globals": "^16.5.0", "graphology-types": "^0.24.8", From d3b5cb6343140c35b956d135a94afd2a0dc054d4 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 04:54:15 +0000 Subject: [PATCH 74/89] Bump vite from 6.3.6 to 7.1.12 in /lightrag_webui Bumps [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite) from 6.3.6 to 7.1.12. - [Release notes](https://github.com/vitejs/vite/releases) - [Changelog](https://github.com/vitejs/vite/blob/v7.1.12/packages/vite/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite/commits/v7.1.12/packages/vite) --- updated-dependencies: - dependency-name: vite dependency-version: 7.1.12 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 52 +++++++++++-------------------------- lightrag_webui/package.json | 2 +- 2 files changed, 16 insertions(+), 38 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 04ee1f04..5a608c13 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -95,7 +95,7 @@ "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", "typescript-eslint": "^8.48.0", - "vite": "^6.3.6", + "vite": "^7.1.12", }, }, }, @@ -1160,29 +1160,29 @@ "levn": ["levn@0.4.1", "", { "dependencies": { "prelude-ls": "^1.2.1", "type-check": "~0.4.0" } }, "sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ=="], - "lightningcss": ["lightningcss@1.30.1", "", { "dependencies": { "detect-libc": "^2.0.3" }, "optionalDependencies": { "lightningcss-darwin-arm64": "1.30.1", "lightningcss-darwin-x64": "1.30.1", "lightningcss-freebsd-x64": "1.30.1", "lightningcss-linux-arm-gnueabihf": "1.30.1", "lightningcss-linux-arm64-gnu": "1.30.1", "lightningcss-linux-arm64-musl": "1.30.1", "lightningcss-linux-x64-gnu": "1.30.1", "lightningcss-linux-x64-musl": "1.30.1", "lightningcss-win32-arm64-msvc": "1.30.1", "lightningcss-win32-x64-msvc": "1.30.1" } }, "sha512-xi6IyHML+c9+Q3W0S4fCQJOym42pyurFiJUHEcEyHS0CeKzia4yZDEsLlqOFykxOdHpNy0NmvVO31vcSqAxJCg=="], + "lightningcss": ["lightningcss@1.30.2", "", { "dependencies": { "detect-libc": "^2.0.3" }, "optionalDependencies": { "lightningcss-android-arm64": "1.30.2", "lightningcss-darwin-arm64": "1.30.2", "lightningcss-darwin-x64": "1.30.2", "lightningcss-freebsd-x64": "1.30.2", "lightningcss-linux-arm-gnueabihf": "1.30.2", "lightningcss-linux-arm64-gnu": "1.30.2", "lightningcss-linux-arm64-musl": "1.30.2", "lightningcss-linux-x64-gnu": "1.30.2", "lightningcss-linux-x64-musl": "1.30.2", "lightningcss-win32-arm64-msvc": "1.30.2", "lightningcss-win32-x64-msvc": "1.30.2" } }, "sha512-utfs7Pr5uJyyvDETitgsaqSyjCb2qNRAtuqUeWIAKztsOYdcACf2KtARYXg2pSvhkt+9NfoaNY7fxjl6nuMjIQ=="], "lightningcss-android-arm64": ["lightningcss-android-arm64@1.30.2", "", { "os": "android", "cpu": "arm64" }, "sha512-BH9sEdOCahSgmkVhBLeU7Hc9DWeZ1Eb6wNS6Da8igvUwAe0sqROHddIlvU06q3WyXVEOYDZ6ykBZQnjTbmo4+A=="], - 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Updates `i18next` from 25.6.0 to 25.6.3 - [Release notes](https://github.com/i18next/i18next/releases) - [Changelog](https://github.com/i18next/i18next/blob/master/CHANGELOG.md) - [Commits](https://github.com/i18next/i18next/compare/v25.6.0...v25.6.3) --- updated-dependencies: - dependency-name: i18next dependency-version: 25.6.3 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: frontend-minor-patch ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 4 ++-- lightrag_webui/package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 04ee1f04..13c41587 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -39,7 +39,7 @@ "graphology-layout-force": "^0.2.4", "graphology-layout-forceatlas2": "^0.10.1", "graphology-layout-noverlap": "^0.4.2", - "i18next": "^25.6.0", + "i18next": "^25.6.3", "katex": "^0.16.25", "lucide-react": "^0.554.0", "mermaid": "^11.12.1", @@ -1046,7 +1046,7 @@ "html-void-elements": ["html-void-elements@3.0.0", "", {}, "sha512-bEqo66MRXsUGxWHV5IP0PUiAWwoEjba4VCzg0LjFJBpchPaTfyfCKTG6bc5F8ucKec3q5y6qOdGyYTSBEvhCrg=="], - "i18next": ["i18next@25.6.0", "", { "dependencies": { "@babel/runtime": "^7.27.6" }, "peerDependencies": { "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-tTn8fLrwBYtnclpL5aPXK/tAYBLWVvoHM1zdfXoRNLcI+RvtMsoZRV98ePlaW3khHYKuNh/Q65W/+NVFUeIwVw=="], + "i18next": ["i18next@25.6.3", "", { "dependencies": { "@babel/runtime": "^7.28.4" }, "peerDependencies": { "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-AEQvoPDljhp67a1+NsnG/Wb1Nh6YoSvtrmeEd24sfGn3uujCtXCF3cXpr7ulhMywKNFF7p3TX1u2j7y+caLOJg=="], "iconv-lite": ["iconv-lite@0.6.3", "", { "dependencies": { "safer-buffer": ">= 2.1.2 < 3.0.0" } }, "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index 10177a18..a425eb45 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -51,7 +51,7 @@ "graphology-layout-force": "^0.2.4", "graphology-layout-forceatlas2": "^0.10.1", "graphology-layout-noverlap": "^0.4.2", - "i18next": "^25.6.0", + "i18next": "^25.6.3", "katex": "^0.16.25", "mermaid": "^11.12.1", "lucide-react": "^0.554.0", From b38f4dd70be90e3a2add5aa0272ad252ed838c97 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 05:00:18 +0000 Subject: [PATCH 76/89] Bump react-syntax-highlighter from 15.6.6 to 16.1.0 in /lightrag_webui Bumps [react-syntax-highlighter](https://github.com/react-syntax-highlighter/react-syntax-highlighter) from 15.6.6 to 16.1.0. - [Release notes](https://github.com/react-syntax-highlighter/react-syntax-highlighter/releases) - [Changelog](https://github.com/react-syntax-highlighter/react-syntax-highlighter/blob/master/CHANGELOG.MD) - [Commits](https://github.com/react-syntax-highlighter/react-syntax-highlighter/compare/v15.6.6...v16.1.0) --- updated-dependencies: - dependency-name: react-syntax-highlighter dependency-version: 16.1.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 74 ++++++++----------------------------- lightrag_webui/package.json | 2 +- 2 files changed, 17 insertions(+), 59 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index d6f882de..ea5da306 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -53,7 +53,7 @@ "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", "react-select": "^5.10.2", - "react-syntax-highlighter": "^15.6.6", + "react-syntax-highlighter": "^16.1.0", "rehype-katex": "^7.0.1", "rehype-raw": "^7.0.0", "rehype-react": "^8.0.0", @@ -680,13 +680,13 @@ "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@1.2.4", "", {}, "sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw=="], + "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@1.1.4", "", {}, "sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA=="], + "character-entities-legacy": ["character-entities-legacy@3.0.0", "", {}, "sha512-RpPp0asT/6ufRm//AJVwpViZbGM/MkjQFxJccQRHmISF/22NBtsHqAWmL+/pmkPWoIUJdWyeVleTl1wydHATVQ=="], - "character-reference-invalid": ["character-reference-invalid@1.1.4", "", {}, "sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg=="], + "character-reference-invalid": ["character-reference-invalid@2.0.1", "", {}, "sha512-iBZ4F4wRbyORVsu0jPV7gXkOsGYjGHPmAyv+HiHG8gi5PtC9KI2j1+v8/tlibRvjoWX027ypmG/n0HtO5t7unw=="], "chevrotain": ["chevrotain@11.0.3", "", { "dependencies": { "@chevrotain/cst-dts-gen": "11.0.3", "@chevrotain/gast": "11.0.3", "@chevrotain/regexp-to-ast": "11.0.3", "@chevrotain/types": "11.0.3", "@chevrotain/utils": "11.0.3", "lodash-es": "4.17.21" } }, "sha512-ci2iJH6LeIkvP9eJW6gpueU8cnZhv85ELY8w8WiFtNjMHA5ad6pQLaJo9mEly/9qUyCpvqX8/POVUTf18/HFdw=="], @@ -1016,7 +1016,7 @@ "hast-util-is-element": ["hast-util-is-element@3.0.0", "", { "dependencies": { "@types/hast": "^3.0.0" } }, "sha512-Val9mnv2IWpLbNPqc/pUem+a7Ipj2aHacCwgNfTiK0vJKl0LF+4Ba4+v1oPHFpf3bLYmreq0/l3Gud9S5OH42g=="], - 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"mdast-util-mdx-jsx/parse-entities/is-alphanumerical/is-alphabetical": ["is-alphabetical@2.0.1", "", {}, "sha512-FWyyY60MeTNyeSRpkM2Iry0G9hpr7/9kD40mD/cGQEuilcZYS4okz8SN2Q6rLCJ8gbCt6fN+rC+6tMGS99LaxQ=="], - "@emotion/babel-plugin/@babel/helper-module-imports/@babel/traverse/@babel/code-frame/@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.25.9", "", {}, "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ=="], } } diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index f99b713a..1f1789ac 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -65,7 +65,7 @@ "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", "react-select": "^5.10.2", - "react-syntax-highlighter": "^15.6.6", + "react-syntax-highlighter": "^16.1.0", "rehype-katex": "^7.0.1", "rehype-raw": "^7.0.0", "rehype-react": "^8.0.0", From e20f86a054930da49705eb924b5b002b04421a12 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 05:00:22 +0000 Subject: [PATCH 77/89] Bump react-i18next from 15.7.4 to 16.2.3 in /lightrag_webui Bumps [react-i18next](https://github.com/i18next/react-i18next) from 15.7.4 to 16.2.3. - [Changelog](https://github.com/i18next/react-i18next/blob/master/CHANGELOG.md) - [Commits](https://github.com/i18next/react-i18next/compare/v15.7.4...v16.2.3) --- updated-dependencies: - dependency-name: react-i18next dependency-version: 16.2.3 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 6 ++++-- lightrag_webui/package.json | 2 +- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index d6f882de..a1d63756 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -48,7 +48,7 @@ "react-dom": "^19.2.0", "react-dropzone": "^14.3.8", "react-error-boundary": "^6.0.0", - "react-i18next": "^15.7.4", + "react-i18next": "^16.2.3", "react-markdown": "^9.1.0", "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", @@ -1426,7 +1426,7 @@ "react-error-boundary": ["react-error-boundary@6.0.0", "", { "dependencies": { "@babel/runtime": "^7.12.5" }, "peerDependencies": { "react": ">=16.13.1" } }, "sha512-gdlJjD7NWr0IfkPlaREN2d9uUZUlksrfOx7SX62VRerwXbMY6ftGCIZua1VG1aXFNOimhISsTq+Owp725b9SiA=="], - "react-i18next": ["react-i18next@15.7.4", "", { "dependencies": { "@babel/runtime": "^7.27.6", "html-parse-stringify": "^3.0.1" }, "peerDependencies": { "i18next": ">= 23.4.0", "react": ">= 16.8.0", "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-nyU8iKNrI5uDJch0z9+Y5XEr34b0wkyYj3Rp+tfbahxtlswxSCjcUL9H0nqXo9IR3/t5Y5PKIA3fx3MfUyR9Xw=="], + "react-i18next": ["react-i18next@16.2.3", "", { "dependencies": { "@babel/runtime": "^7.27.6", "html-parse-stringify": "^3.0.1", "use-sync-external-store": "^1.6.0" }, "peerDependencies": { "i18next": ">= 25.5.2", "react": ">= 16.8.0", "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-O0t2zvmIz7nHWKNfIL+O/NTIbpTaOPY0vZov779hegbep3IZ+xcqkeVPKWBSXwzdkiv77q8zmq9toKIUys1x3A=="], "react-is": ["react-is@16.13.1", "", {}, "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="], @@ -1626,6 +1626,8 @@ "use-sidecar": ["use-sidecar@1.1.3", "", { "dependencies": { "detect-node-es": "^1.1.0", "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-Fedw0aZvkhynoPYlA5WXrMCAMm+nSWdZt6lzJQ7Ok8S6Q+VsHmHpRWndVRJ8Be0ZbkfPc5LRYH+5XrzXcEeLRQ=="], + "use-sync-external-store": ["use-sync-external-store@1.6.0", "", { "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-Pp6GSwGP/NrPIrxVFAIkOQeyw8lFenOHijQWkUTrDvrF4ALqylP2C/KCkeS9dpUM3KvYRQhna5vt7IL95+ZQ9w=="], + "util-deprecate": ["util-deprecate@1.0.2", "", {}, "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="], "uuid": ["uuid@11.1.0", "", { "bin": { "uuid": "dist/esm/bin/uuid" } }, "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index f99b713a..6016174c 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -60,7 +60,7 @@ "react-dom": "^19.2.0", "react-dropzone": "^14.3.8", "react-error-boundary": "^6.0.0", - "react-i18next": "^15.7.4", + "react-i18next": "^16.2.3", "react-markdown": "^9.1.0", "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", From dd4c988b504e505333934fcf2e72614ba878d4f1 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 05:02:44 +0000 Subject: [PATCH 78/89] Bump react-markdown from 9.1.0 to 10.1.0 in /lightrag_webui Bumps [react-markdown](https://github.com/remarkjs/react-markdown) from 9.1.0 to 10.1.0. - [Release notes](https://github.com/remarkjs/react-markdown/releases) - [Changelog](https://github.com/remarkjs/react-markdown/blob/main/changelog.md) - [Commits](https://github.com/remarkjs/react-markdown/compare/9.1.0...10.1.0) --- updated-dependencies: - dependency-name: react-markdown dependency-version: 10.1.0 dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 4 ++-- lightrag_webui/package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 85fadc9c..b1381b34 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -49,7 +49,7 @@ "react-dropzone": "^14.3.8", "react-error-boundary": "^6.0.0", "react-i18next": "^16.2.3", - "react-markdown": "^9.1.0", + "react-markdown": "^10.1.0", "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", "react-select": "^5.10.2", @@ -1430,7 +1430,7 @@ "react-is": ["react-is@16.13.1", "", {}, "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="], - "react-markdown": ["react-markdown@9.1.0", "", { "dependencies": { "@types/hast": "^3.0.0", "@types/mdast": "^4.0.0", "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-xaijuJB0kzGiUdG7nc2MOMDUDBWPyGAjZtUrow9XxUeua8IqeP+VlIfAZ3bphpcLTnSZXz6z9jcVC/TCwbfgdw=="], + "react-markdown": ["react-markdown@10.1.0", "", { "dependencies": { "@types/hast": "^3.0.0", "@types/mdast": "^4.0.0", "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-qKxVopLT/TyA6BX3Ue5NwabOsAzm0Q7kAPwq6L+wWDwisYs7R8vZ0nRXqq6rkueboxpkjvLGU9fWifiX/ZZFxQ=="], "react-number-format": ["react-number-format@5.4.4", "", { "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-wOmoNZoOpvMminhifQYiYSTCLUDOiUbBunrMrMjA+dV52sY+vck1S4UhR6PkgnoCquvvMSeJjErXZ4qSaWCliA=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index a352516b..a8ee8178 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -61,7 +61,7 @@ "react-dropzone": "^14.3.8", "react-error-boundary": "^6.0.0", "react-i18next": "^16.2.3", - "react-markdown": "^9.1.0", + "react-markdown": "^10.1.0", "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", "react-select": "^5.10.2", From d5e7b23041ff1ebf4f58dcfc43ab587dd615a843 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 05:17:13 +0000 Subject: [PATCH 79/89] Bump @types/node from 22.18.9 to 24.9.2 in /lightrag_webui Bumps [@types/node](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/node) from 22.18.9 to 24.9.2. - [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases) - [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/node) --- updated-dependencies: - dependency-name: "@types/node" dependency-version: 24.9.2 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 10 +++++++--- lightrag_webui/package.json | 2 +- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 6c541553..b19ed12d 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -75,7 +75,7 @@ "@tailwindcss/vite": "^4.1.17", "@types/bun": "^1.3.3", "@types/katex": "^0.16.7", - "@types/node": "^22.18.9", + "@types/node": "^24.9.2", "@types/react": "^19.2.7", "@types/react-dom": "^19.2.3", "@types/react-i18next": "^8.1.0", @@ -568,7 +568,7 @@ "@types/ms": ["@types/ms@2.1.0", "", {}, "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA=="], - "@types/node": ["@types/node@22.18.9", "", { "dependencies": { "undici-types": "~6.21.0" } }, "sha512-5yBtK0k/q8PjkMXbTfeIEP/XVYnz1R9qZJ3yUicdEW7ppdDJfe+MqXEhpqDL3mtn4Wvs1u0KLEG0RXzCgNpsSg=="], + "@types/node": ["@types/node@24.9.2", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-uWN8YqxXxqFMX2RqGOrumsKeti4LlmIMIyV0lgut4jx7KQBcBiW6vkDtIBvHnHIquwNfJhk8v2OtmO8zXWHfPA=="], "@types/parse-json": ["@types/parse-json@4.0.2", "", {}, "sha512-dISoDXWWQwUquiKsyZ4Ng+HX2KsPL7LyHKHQwgGFEA3IaKac4Obd+h2a/a6waisAoepJlBcx9paWqjA8/HVjCw=="], @@ -1598,7 +1598,7 @@ "unbox-primitive": ["unbox-primitive@1.1.0", "", { "dependencies": { "call-bound": "^1.0.3", "has-bigints": "^1.0.2", "has-symbols": "^1.1.0", "which-boxed-primitive": "^1.1.1" } }, "sha512-nWJ91DjeOkej/TA8pXQ3myruKpKEYgqvpw9lz4OPHj/NWFNluYrjbz9j01CJ8yKQd2g4jFoOkINCTW2I5LEEyw=="], - "undici-types": ["undici-types@6.21.0", "", {}, "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ=="], + "undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="], "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=="], @@ -1770,6 +1770,8 @@ "babel-plugin-macros/resolve": ["resolve@1.22.10", "", { "dependencies": { "is-core-module": "^2.16.0", "path-parse": "^1.0.7", "supports-preserve-symlinks-flag": "^1.0.0" }, "bin": { "resolve": "bin/resolve" } }, "sha512-NPRy+/ncIMeDlTAsuqwKIiferiawhefFJtkNSW0qZJEqMEb+qBt/77B/jGeeek+F0uOeN05CDa6HXbbIgtVX4w=="], + "bun-types/@types/node": ["@types/node@22.18.9", "", { "dependencies": { "undici-types": "~6.21.0" } }, "sha512-5yBtK0k/q8PjkMXbTfeIEP/XVYnz1R9qZJ3yUicdEW7ppdDJfe+MqXEhpqDL3mtn4Wvs1u0KLEG0RXzCgNpsSg=="], + "cytoscape-fcose/cose-base": ["cose-base@2.2.0", "", { "dependencies": { "layout-base": "^2.0.0" } }, "sha512-AzlgcsCbUMymkADOJtQm3wO9S3ltPfYOFD5033keQn9NJzIbtnZj+UdBJe7DYml/8TdbtHJW3j58SOnKhWY/5g=="], "d3-dsv/commander": ["commander@7.2.0", "", {}, "sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw=="], @@ -1828,6 +1830,8 @@ "@typescript-eslint/typescript-estree/minimatch/brace-expansion": ["brace-expansion@2.0.1", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA=="], + "bun-types/@types/node/undici-types": ["undici-types@6.21.0", "", {}, "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ=="], + "cytoscape-fcose/cose-base/layout-base": ["layout-base@2.0.1", "", {}, "sha512-dp3s92+uNI1hWIpPGH3jK2kxE2lMjdXdr+DH8ynZHpd6PUlH6x6cbuXnoMmiNumznqaNO31xu9e79F0uuZ0JFg=="], "d3-sankey/d3-shape/d3-path": ["d3-path@1.0.9", "", {}, "sha512-VLaYcn81dtHVTjEHd8B+pbe9yHWpXKZUC87PzoFmsFrJqgFwDe/qxfp5MlfsfM1V5E/iVt0MmEbWQ7FVIXh/bg=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index f8ab0ae7..09596829 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -86,7 +86,7 @@ "@types/bun": "^1.3.3", "@tailwindcss/vite": "^4.1.17", "@types/katex": "^0.16.7", - "@types/node": "^22.18.9", + "@types/node": "^24.9.2", "@tailwindcss/typography": "^0.5.15", "@types/react": "^19.2.7", "@types/react-dom": "^19.2.3", From 381ddfffd42d0f82bdfb91b43001fd3d8f8aaa85 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 13:27:02 +0800 Subject: [PATCH 80/89] Bump API version to 0259 --- lightrag/api/__init__.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lightrag/api/__init__.py b/lightrag/api/__init__.py index 417d3445..72561802 100644 --- a/lightrag/api/__init__.py +++ b/lightrag/api/__init__.py @@ -1 +1 @@ -__api_version__ = "0258" +__api_version__ = "0259" From 8d28b95966b2f128c98795f1b32b85248b9a78d9 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 14:32:28 +0800 Subject: [PATCH 81/89] Fix duplicate document responses to return original track_id - Return existing track_id for duplicates - Remove track_id generation in reprocess - Update reprocess response documentation - Clarify track_id behavior in comments - Update API response examples --- lightrag/api/routers/document_routes.py | 45 ++++++++++++++----------- 1 file changed, 25 insertions(+), 20 deletions(-) diff --git a/lightrag/api/routers/document_routes.py b/lightrag/api/routers/document_routes.py index 85183bbd..40bf2dba 100644 --- a/lightrag/api/routers/document_routes.py +++ b/lightrag/api/routers/document_routes.py @@ -159,7 +159,7 @@ class ReprocessResponse(BaseModel): Attributes: status: Status of the reprocessing operation message: Message describing the operation result - track_id: Tracking ID for monitoring reprocessing progress + track_id: Always empty string. Reprocessed documents retain their original track_id. """ status: Literal["reprocessing_started"] = Field( @@ -167,7 +167,8 @@ class ReprocessResponse(BaseModel): ) message: str = Field(description="Human-readable message describing the operation") track_id: str = Field( - description="Tracking ID for monitoring reprocessing progress" + default="", + description="Always empty string. Reprocessed documents retain their original track_id from initial upload.", ) class Config: @@ -175,7 +176,7 @@ class ReprocessResponse(BaseModel): "example": { "status": "reprocessing_started", "message": "Reprocessing of failed documents has been initiated in background", - "track_id": "retry_20250729_170612_def456", + "track_id": "", } } @@ -2097,12 +2098,14 @@ def create_document_routes( # Check if filename already exists in doc_status storage existing_doc_data = await rag.doc_status.get_doc_by_file_path(safe_filename) if existing_doc_data: - # Get document status information for error message + # Get document status and track_id from existing document status = existing_doc_data.get("status", "unknown") + # Use `or ""` to handle both missing key and None value (e.g., legacy rows without track_id) + existing_track_id = existing_doc_data.get("track_id") or "" return InsertResponse( status="duplicated", message=f"File '{safe_filename}' already exists in document storage (Status: {status}).", - track_id="", + track_id=existing_track_id, ) file_path = doc_manager.input_dir / safe_filename @@ -2166,12 +2169,14 @@ def create_document_routes( request.file_source ) if existing_doc_data: - # Get document status information for error message + # Get document status and track_id from existing document status = existing_doc_data.get("status", "unknown") + # Use `or ""` to handle both missing key and None value (e.g., legacy rows without track_id) + existing_track_id = existing_doc_data.get("track_id") or "" return InsertResponse( status="duplicated", message=f"File source '{request.file_source}' already exists in document storage (Status: {status}).", - track_id="", + track_id=existing_track_id, ) # Generate track_id for text insertion @@ -2232,12 +2237,14 @@ def create_document_routes( file_source ) if existing_doc_data: - # Get document status information for error message + # Get document status and track_id from existing document status = existing_doc_data.get("status", "unknown") + # Use `or ""` to handle both missing key and None value (e.g., legacy rows without track_id) + existing_track_id = existing_doc_data.get("track_id") or "" return InsertResponse( status="duplicated", message=f"File source '{file_source}' already exists in document storage (Status: {status}).", - track_id="", + track_id=existing_track_id, ) # Generate track_id for texts insertion @@ -3058,29 +3065,27 @@ def create_document_routes( This is useful for recovering from server crashes, network errors, LLM service outages, or other temporary failures that caused document processing to fail. - The processing happens in the background and can be monitored using the - returned track_id or by checking the pipeline status. + The processing happens in the background and can be monitored by checking the + pipeline status. The reprocessed documents retain their original track_id from + initial upload, so use their original track_id to monitor progress. Returns: - ReprocessResponse: Response with status, message, and track_id + ReprocessResponse: Response with status and message. + track_id is always empty string because reprocessed documents retain + their original track_id from initial upload. Raises: HTTPException: If an error occurs while initiating reprocessing (500). """ try: - # Generate track_id with "retry" prefix for retry operation - track_id = generate_track_id("retry") - # Start the reprocessing in the background + # Note: Reprocessed documents retain their original track_id from initial upload background_tasks.add_task(rag.apipeline_process_enqueue_documents) - logger.info( - f"Reprocessing of failed documents initiated with track_id: {track_id}" - ) + logger.info("Reprocessing of failed documents initiated") return ReprocessResponse( status="reprocessing_started", - message="Reprocessing of failed documents has been initiated in background", - track_id=track_id, + message="Reprocessing of failed documents has been initiated in background. Documents retain their original track_id.", ) except Exception as e: From 1f8751225d2917934d13227c4fd418ebfe675ef1 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 15:36:18 +0800 Subject: [PATCH 82/89] Drop Python 3.10 and 3.11 from CI test matrix --- .github/workflows/tests.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index d09d4757..f54a7ee3 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -13,7 +13,7 @@ jobs: strategy: matrix: - python-version: ['3.10', '3.11', '3.12', '3.13', '3.14'] + python-version: ['3.12', '3.13', '3.14'] steps: - uses: actions/checkout@v6 From 19c16bc4644867b3c6f63e800b07b2081d83fb06 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 17:49:48 +0800 Subject: [PATCH 83/89] Add content deduplication check for document insertion endpoints MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Check content hash before insertion • Return duplicated status if exists • Use sanitized text for hash computation • Apply to both single and batch inserts • Prevent duplicate content processing --- lightrag/api/routers/document_routes.py | 35 ++++++++++++++++++++++++- 1 file changed, 34 insertions(+), 1 deletion(-) diff --git a/lightrag/api/routers/document_routes.py b/lightrag/api/routers/document_routes.py index 40bf2dba..d906aa5c 100644 --- a/lightrag/api/routers/document_routes.py +++ b/lightrag/api/routers/document_routes.py @@ -24,7 +24,11 @@ from pydantic import BaseModel, Field, field_validator from lightrag import LightRAG from lightrag.base import DeletionResult, DocProcessingStatus, DocStatus -from lightrag.utils import generate_track_id +from lightrag.utils import ( + generate_track_id, + compute_mdhash_id, + sanitize_text_for_encoding, +) from lightrag.api.utils_api import get_combined_auth_dependency from ..config import global_args @@ -2179,6 +2183,20 @@ def create_document_routes( track_id=existing_track_id, ) + # Check if content already exists by computing content hash (doc_id) + sanitized_text = sanitize_text_for_encoding(request.text) + content_doc_id = compute_mdhash_id(sanitized_text, prefix="doc-") + existing_doc = await rag.doc_status.get_by_id(content_doc_id) + if existing_doc: + # Content already exists, return duplicated with existing track_id + status = existing_doc.get("status", "unknown") + existing_track_id = existing_doc.get("track_id") or "" + return InsertResponse( + status="duplicated", + message=f"Identical content already exists in document storage (doc_id: {content_doc_id}, Status: {status}).", + track_id=existing_track_id, + ) + # Generate track_id for text insertion track_id = generate_track_id("insert") @@ -2247,6 +2265,21 @@ def create_document_routes( track_id=existing_track_id, ) + # Check if any content already exists by computing content hash (doc_id) + for text in request.texts: + sanitized_text = sanitize_text_for_encoding(text) + content_doc_id = compute_mdhash_id(sanitized_text, prefix="doc-") + existing_doc = await rag.doc_status.get_by_id(content_doc_id) + if existing_doc: + # Content already exists, return duplicated with existing track_id + status = existing_doc.get("status", "unknown") + existing_track_id = existing_doc.get("track_id") or "" + return InsertResponse( + status="duplicated", + message=f"Identical content already exists in document storage (doc_id: {content_doc_id}, Status: {status}).", + track_id=existing_track_id, + ) + # Generate track_id for texts insertion track_id = generate_track_id("insert") From 13fc9f339a54daedb2edf9e7ee28ce4fcf7c29c9 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 17:56:27 +0800 Subject: [PATCH 84/89] Reduce dependabot open pull request limits --- .github/dependabot.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 54026a3e..546c99f9 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -19,7 +19,7 @@ updates: labels: - "dependencies" - "github-actions" - open-pull-requests-limit: 5 + open-pull-requests-limit: 2 # ============================================================ # Python (pip) Dependencies @@ -111,7 +111,7 @@ updates: labels: - "dependencies" - "python" - open-pull-requests-limit: 10 + open-pull-requests-limit: 5 # ============================================================ # Frontend (bun) Dependencies @@ -194,4 +194,4 @@ updates: labels: - "dependencies" - "frontend" - open-pull-requests-limit: 10 + open-pull-requests-limit: 5 From 7545fa72316189c6b4473adcda2b8274ce0ac7af Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 09:58:12 +0000 Subject: [PATCH 85/89] Bump vite in /lightrag_webui in the build-tools group Bumps the build-tools group in /lightrag_webui with 1 update: [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite). Updates `vite` from 7.1.12 to 7.2.4 - [Release notes](https://github.com/vitejs/vite/releases) - [Changelog](https://github.com/vitejs/vite/blob/main/packages/vite/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite/commits/v7.2.4/packages/vite) --- updated-dependencies: - dependency-name: vite dependency-version: 7.2.4 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: build-tools ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 4 ++-- lightrag_webui/package.json | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 1217c493..c402cbcd 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -95,7 +95,7 @@ "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", "typescript-eslint": "^8.48.0", - "vite": "^7.1.12", + "vite": "^7.2.4", }, }, }, @@ -1638,7 +1638,7 @@ "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@7.1.12", "", { "dependencies": { "esbuild": "^0.25.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "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-ZWyE8YXEXqJrrSLvYgrRP7p62OziLW7xI5HYGWFzOvupfAlrLvURSzv/FyGyy0eidogEM3ujU+kUG1zuHgb6Ug=="], + "vite": ["vite@7.2.4", "", { "dependencies": { "esbuild": "^0.25.0", "fdir": "^6.5.0", "picomatch": "^4.0.3", "postcss": "^8.5.6", "rollup": "^4.43.0", "tinyglobby": "^0.2.15" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "jiti": ">=1.21.0", "less": "^4.0.0", "lightningcss": "^1.21.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "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-NL8jTlbo0Tn4dUEXEsUg8KeyG/Lkmc4Fnzb8JXN/Ykm9G4HNImjtABMJgkQoVjOBN/j2WAwDTRytdqJbZsah7w=="], "void-elements": ["void-elements@3.1.0", "", {}, "sha512-Dhxzh5HZuiHQhbvTW9AMetFfBHDMYpo23Uo9btPXgdYP+3T5S+p+jgNy7spra+veYhBP2dCSgxR/i2Y02h5/6w=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index 4d3d861a..da26a7b9 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -107,6 +107,6 @@ "tailwindcss": "^4.1.17", "tailwindcss-animate": "^1.0.7", "typescript": "~5.9.3", - "vite": "^7.1.12" + "vite": "^7.2.4" } } From 68bee74d85fba595bab4c67dbddc0070288e50aa Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 09:58:50 +0000 Subject: [PATCH 86/89] Bump the frontend-minor-patch group in /lightrag_webui with 2 updates Bumps the frontend-minor-patch group in /lightrag_webui with 2 updates: [react-i18next](https://github.com/i18next/react-i18next) and [@types/node](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/node). Updates `react-i18next` from 16.2.3 to 16.3.5 - [Changelog](https://github.com/i18next/react-i18next/blob/master/CHANGELOG.md) - [Commits](https://github.com/i18next/react-i18next/compare/v16.2.3...v16.3.5) Updates `@types/node` from 24.9.2 to 24.10.1 - [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases) - [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/node) --- updated-dependencies: - dependency-name: react-i18next dependency-version: 16.3.5 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: frontend-minor-patch - dependency-name: "@types/node" dependency-version: 24.10.1 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: frontend-minor-patch ... Signed-off-by: dependabot[bot] --- lightrag_webui/bun.lock | 8 ++++---- lightrag_webui/package.json | 4 ++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/lightrag_webui/bun.lock b/lightrag_webui/bun.lock index 1217c493..3dc2a8a0 100644 --- a/lightrag_webui/bun.lock +++ b/lightrag_webui/bun.lock @@ -48,7 +48,7 @@ "react-dom": "^19.2.0", "react-dropzone": "^14.3.8", "react-error-boundary": "^6.0.0", - "react-i18next": "^16.2.3", + "react-i18next": "^16.3.5", "react-markdown": "^10.1.0", "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", @@ -75,7 +75,7 @@ "@tailwindcss/vite": "^4.1.17", "@types/bun": "^1.3.3", "@types/katex": "^0.16.7", - "@types/node": "^24.9.2", + "@types/node": "^24.10.1", "@types/react": "^19.2.7", "@types/react-dom": "^19.2.3", "@types/react-i18next": "^8.1.0", @@ -568,7 +568,7 @@ "@types/ms": ["@types/ms@2.1.0", "", {}, "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA=="], - "@types/node": ["@types/node@24.9.2", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-uWN8YqxXxqFMX2RqGOrumsKeti4LlmIMIyV0lgut4jx7KQBcBiW6vkDtIBvHnHIquwNfJhk8v2OtmO8zXWHfPA=="], + "@types/node": ["@types/node@24.10.1", "", { "dependencies": { "undici-types": "~7.16.0" } }, "sha512-GNWcUTRBgIRJD5zj+Tq0fKOJ5XZajIiBroOF0yvj2bSU1WvNdYS/dn9UxwsujGW4JX06dnHyjV2y9rRaybH0iQ=="], "@types/parse-json": ["@types/parse-json@4.0.2", "", {}, "sha512-dISoDXWWQwUquiKsyZ4Ng+HX2KsPL7LyHKHQwgGFEA3IaKac4Obd+h2a/a6waisAoepJlBcx9paWqjA8/HVjCw=="], @@ -1426,7 +1426,7 @@ "react-error-boundary": ["react-error-boundary@6.0.0", "", { "dependencies": { "@babel/runtime": "^7.12.5" }, "peerDependencies": { "react": ">=16.13.1" } }, "sha512-gdlJjD7NWr0IfkPlaREN2d9uUZUlksrfOx7SX62VRerwXbMY6ftGCIZua1VG1aXFNOimhISsTq+Owp725b9SiA=="], - "react-i18next": ["react-i18next@16.2.3", "", { "dependencies": { "@babel/runtime": "^7.27.6", "html-parse-stringify": "^3.0.1", "use-sync-external-store": "^1.6.0" }, "peerDependencies": { "i18next": ">= 25.5.2", "react": ">= 16.8.0", "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-O0t2zvmIz7nHWKNfIL+O/NTIbpTaOPY0vZov779hegbep3IZ+xcqkeVPKWBSXwzdkiv77q8zmq9toKIUys1x3A=="], + "react-i18next": ["react-i18next@16.3.5", "", { "dependencies": { "@babel/runtime": "^7.27.6", "html-parse-stringify": "^3.0.1", "use-sync-external-store": "^1.6.0" }, "peerDependencies": { "i18next": ">= 25.6.2", "react": ">= 16.8.0", "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-F7Kglc+T0aE6W2rO5eCAFBEuWRpNb5IFmXOYEgztjZEuiuSLTe/xBIEG6Q3S0fbl8GXMNo+Q7gF8bpokFNWJww=="], "react-is": ["react-is@16.13.1", "", {}, "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="], diff --git a/lightrag_webui/package.json b/lightrag_webui/package.json index 4d3d861a..a325a122 100644 --- a/lightrag_webui/package.json +++ b/lightrag_webui/package.json @@ -60,7 +60,7 @@ "react-dom": "^19.2.0", "react-dropzone": "^14.3.8", "react-error-boundary": "^6.0.0", - "react-i18next": "^16.2.3", + "react-i18next": "^16.3.5", "react-markdown": "^10.1.0", "react-number-format": "^5.4.4", "react-router-dom": "^7.9.6", @@ -86,7 +86,7 @@ "@types/bun": "^1.3.3", "@tailwindcss/vite": "^4.1.17", "@types/katex": "^0.16.7", - "@types/node": "^24.9.2", + "@types/node": "^24.10.1", "@tailwindcss/typography": "^0.5.15", "@types/react": "^19.2.7", "@types/react-dom": "^19.2.3", From 6476021619dc5482b653d928ff9c6d2c98a29b26 Mon Sep 17 00:00:00 2001 From: yangdx Date: Tue, 2 Dec 2025 19:21:44 +0800 Subject: [PATCH 87/89] Configure Dependabot schedule with specific times and timezone - Set Monday 2AM for GitHub Actions - Set Wednesday 2AM for Python deps - Set Friday 2AM for web UI deps - Use Asia/Shanghai timezone - Spread updates across weekdays --- .github/dependabot.yml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 546c99f9..567afa07 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -16,6 +16,9 @@ updates: - "*" # Group all Actions updates into a single larger pull request schedule: interval: weekly + day: monday + time: "02:00" + timezone: "Asia/Shanghai" labels: - "dependencies" - "github-actions" @@ -32,6 +35,9 @@ updates: directory: "/" schedule: interval: "weekly" + day: "wednesday" + time: "02:00" + timezone: "Asia/Shanghai" cooldown: default-days: 5 semver-major-days: 30 @@ -124,6 +130,9 @@ updates: directory: "/lightrag_webui" schedule: interval: "weekly" + day: "friday" + time: "02:00" + timezone: "Asia/Shanghai" cooldown: default-days: 5 semver-major-days: 30 From 561ba4e4b5d5d9b7939930be479f2fad353d1128 Mon Sep 17 00:00:00 2001 From: yangdx Date: Wed, 3 Dec 2025 12:40:48 +0800 Subject: [PATCH 88/89] Fix trailing whitespace and update test mocking for rerank module MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit • Remove trailing whitespace • Fix TiktokenTokenizer import patch • Add async context manager mocks • Update aiohttp.ClientSession patch • Improve test reliability --- lightrag/rerank.py | 2 +- tests/test_overlap_validation.py | 28 ++++++++++++++-------------- tests/test_rerank_chunking.py | 12 ++++++++---- 3 files changed, 23 insertions(+), 19 deletions(-) diff --git a/lightrag/rerank.py b/lightrag/rerank.py index 81632b71..2e22f19a 100644 --- a/lightrag/rerank.py +++ b/lightrag/rerank.py @@ -50,7 +50,7 @@ def chunk_documents_for_rerank( f"overlap_tokens ({original_overlap}) must be less than max_tokens ({max_tokens}). " f"Clamping to {overlap_tokens} to prevent infinite loop." ) - + try: from .utils import TiktokenTokenizer diff --git a/tests/test_overlap_validation.py b/tests/test_overlap_validation.py index 7f84a3cf..4e7c9cbd 100644 --- a/tests/test_overlap_validation.py +++ b/tests/test_overlap_validation.py @@ -14,12 +14,12 @@ class TestOverlapValidation: def test_overlap_greater_than_max_tokens(self): """Test that overlap_tokens > max_tokens is clamped and doesn't hang""" documents = [" ".join([f"word{i}" for i in range(100)])] - + # This should clamp overlap_tokens to 29 (max_tokens - 1) chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=30, overlap_tokens=32 ) - + # Should complete without hanging assert len(chunked_docs) > 0 assert all(idx == 0 for idx in doc_indices) @@ -27,12 +27,12 @@ class TestOverlapValidation: def test_overlap_equal_to_max_tokens(self): """Test that overlap_tokens == max_tokens is clamped and doesn't hang""" documents = [" ".join([f"word{i}" for i in range(100)])] - + # This should clamp overlap_tokens to 29 (max_tokens - 1) chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=30, overlap_tokens=30 ) - + # Should complete without hanging assert len(chunked_docs) > 0 assert all(idx == 0 for idx in doc_indices) @@ -40,12 +40,12 @@ class TestOverlapValidation: def test_overlap_slightly_less_than_max_tokens(self): """Test that overlap_tokens < max_tokens works normally""" documents = [" ".join([f"word{i}" for i in range(100)])] - + # This should work without clamping chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=30, overlap_tokens=29 ) - + # Should complete successfully assert len(chunked_docs) > 0 assert all(idx == 0 for idx in doc_indices) @@ -53,12 +53,12 @@ class TestOverlapValidation: def test_small_max_tokens_with_large_overlap(self): """Test edge case with very small max_tokens""" documents = [" ".join([f"word{i}" for i in range(50)])] - + # max_tokens=5, overlap_tokens=10 should clamp to 4 chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=5, overlap_tokens=10 ) - + # Should complete without hanging assert len(chunked_docs) > 0 assert all(idx == 0 for idx in doc_indices) @@ -70,12 +70,12 @@ class TestOverlapValidation: "short document", " ".join([f"word{i}" for i in range(75)]), ] - + # overlap_tokens > max_tokens chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=25, overlap_tokens=30 ) - + # Should complete successfully and chunk the long documents assert len(chunked_docs) >= len(documents) # Short document should not be chunked @@ -87,12 +87,12 @@ class TestOverlapValidation: " ".join([f"word{i}" for i in range(100)]), "short doc", ] - + # Normal case: overlap_tokens (10) < max_tokens (50) chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=50, overlap_tokens=10 ) - + # Long document should be chunked, short one should not assert len(chunked_docs) > 2 # At least 3 chunks (2 from long doc + 1 short) assert "short doc" in chunked_docs @@ -102,12 +102,12 @@ class TestOverlapValidation: def test_edge_case_max_tokens_one(self): """Test edge case where max_tokens=1""" documents = [" ".join([f"word{i}" for i in range(20)])] - + # max_tokens=1, overlap_tokens=5 should clamp to 0 chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=1, overlap_tokens=5 ) - + # Should complete without hanging assert len(chunked_docs) > 0 assert all(idx == 0 for idx in doc_indices) diff --git a/tests/test_rerank_chunking.py b/tests/test_rerank_chunking.py index f31331d2..1700988a 100644 --- a/tests/test_rerank_chunking.py +++ b/tests/test_rerank_chunking.py @@ -40,7 +40,7 @@ class TestChunkDocumentsForRerank: long_doc = "a" * 2000 # 2000 characters documents = [long_doc, "short doc"] - with patch("lightrag.rerank.TiktokenTokenizer", side_effect=ImportError): + with patch("lightrag.utils.TiktokenTokenizer", side_effect=ImportError): chunked_docs, doc_indices = chunk_documents_for_rerank( documents, max_tokens=100, # 100 tokens = ~400 chars @@ -360,13 +360,17 @@ class TestEndToEndChunking: mock_response.request_info = None mock_response.history = None mock_response.headers = {} + # Make mock_response an async context manager (for `async with session.post() as response`) + mock_response.__aenter__ = AsyncMock(return_value=mock_response) + mock_response.__aexit__ = AsyncMock(return_value=None) mock_session = Mock() - mock_session.post = AsyncMock(return_value=mock_response) + # session.post() returns an async context manager, so return mock_response which is now one + mock_session.post = Mock(return_value=mock_response) mock_session.__aenter__ = AsyncMock(return_value=mock_session) - mock_session.__aexit__ = AsyncMock() + mock_session.__aexit__ = AsyncMock(return_value=None) - with patch("aiohttp.ClientSession", return_value=mock_session): + with patch("lightrag.rerank.aiohttp.ClientSession", return_value=mock_session): result = await cohere_rerank( query=query, documents=documents, From 9009abed3ecd61605f3ec43dcda8ada1787bd3a6 Mon Sep 17 00:00:00 2001 From: yangdx Date: Wed, 3 Dec 2025 13:08:26 +0800 Subject: [PATCH 89/89] Fix top_n behavior with chunking to limit documents not chunks - Disable API-level top_n when chunking - Apply top_n to aggregated documents - Add comprehensive test coverage --- lightrag/rerank.py | 17 ++++ tests/test_rerank_chunking.py | 174 ++++++++++++++++++++++++++++++++++ 2 files changed, 191 insertions(+) diff --git a/lightrag/rerank.py b/lightrag/rerank.py index 2e22f19a..12950fe6 100644 --- a/lightrag/rerank.py +++ b/lightrag/rerank.py @@ -223,6 +223,8 @@ async def generic_rerank_api( # Handle document chunking if enabled original_documents = documents doc_indices = None + original_top_n = top_n # Save original top_n for post-aggregation limiting + if enable_chunking: documents, doc_indices = chunk_documents_for_rerank( documents, max_tokens=max_tokens_per_doc @@ -230,6 +232,14 @@ async def generic_rerank_api( logger.debug( f"Chunked {len(original_documents)} documents into {len(documents)} chunks" ) + # When chunking is enabled, disable top_n at API level to get all chunk scores + # This ensures proper document-level coverage after aggregation + # We'll apply top_n to aggregated document results instead + if top_n is not None: + logger.debug( + f"Chunking enabled: disabled API-level top_n={top_n} to ensure complete document coverage" + ) + top_n = None # Build request payload based on request format if request_format == "aliyun": @@ -344,6 +354,13 @@ async def generic_rerank_api( len(original_documents), aggregation="max", ) + # Apply original top_n limit at document level (post-aggregation) + # This preserves document-level semantics: top_n limits documents, not chunks + if ( + original_top_n is not None + and len(standardized_results) > original_top_n + ): + standardized_results = standardized_results[:original_top_n] return standardized_results diff --git a/tests/test_rerank_chunking.py b/tests/test_rerank_chunking.py index 1700988a..09f1816b 100644 --- a/tests/test_rerank_chunking.py +++ b/tests/test_rerank_chunking.py @@ -234,6 +234,180 @@ class TestAggregateChunkScores: assert aggregated[0]["relevance_score"] == 0.8 +@pytest.mark.offline +class TestTopNWithChunking: + """Tests for top_n behavior when chunking is enabled (Bug fix verification)""" + + @pytest.mark.asyncio + async def test_top_n_limits_documents_not_chunks(self): + """ + Test that top_n correctly limits documents (not chunks) when chunking is enabled. + + Bug scenario: 10 docs expand to 50 chunks. With old behavior, top_n=5 would + return scores for only 5 chunks (possibly all from 1-2 docs). After aggregation, + fewer than 5 documents would be returned. + + Fixed behavior: top_n=5 should return exactly 5 documents after aggregation. + """ + # Setup: 5 documents, each producing multiple chunks when chunked + # Using small max_tokens to force chunking + long_docs = [" ".join([f"doc{i}_word{j}" for j in range(50)]) for i in range(5)] + query = "test query" + + # First, determine how many chunks will be created by actual chunking + _, doc_indices = chunk_documents_for_rerank( + long_docs, max_tokens=50, overlap_tokens=10 + ) + num_chunks = len(doc_indices) + + # Mock API returns scores for ALL chunks (simulating disabled API-level top_n) + # Give different scores to ensure doc 0 gets highest, doc 1 second, etc. + # Assign scores based on original document index (lower doc index = higher score) + mock_chunk_scores = [] + for i in range(num_chunks): + original_doc = doc_indices[i] + # Higher score for lower doc index, with small variation per chunk + base_score = 0.9 - (original_doc * 0.1) + mock_chunk_scores.append({"index": i, "relevance_score": base_score}) + + mock_response = Mock() + mock_response.status = 200 + mock_response.json = AsyncMock(return_value={"results": mock_chunk_scores}) + mock_response.request_info = None + mock_response.history = None + mock_response.headers = {} + mock_response.__aenter__ = AsyncMock(return_value=mock_response) + mock_response.__aexit__ = AsyncMock(return_value=None) + + mock_session = Mock() + mock_session.post = Mock(return_value=mock_response) + mock_session.__aenter__ = AsyncMock(return_value=mock_session) + mock_session.__aexit__ = AsyncMock(return_value=None) + + with patch("lightrag.rerank.aiohttp.ClientSession", return_value=mock_session): + result = await cohere_rerank( + query=query, + documents=long_docs, + api_key="test-key", + base_url="http://test.com/rerank", + enable_chunking=True, + max_tokens_per_doc=50, # Match chunking above + top_n=3, # Request top 3 documents + ) + + # Verify: should get exactly 3 documents (not unlimited chunks) + assert len(result) == 3 + # All results should have valid document indices (0-4) + assert all(0 <= r["index"] < 5 for r in result) + # Results should be sorted by score (descending) + assert all( + result[i]["relevance_score"] >= result[i + 1]["relevance_score"] + for i in range(len(result) - 1) + ) + # The top 3 docs should be 0, 1, 2 (highest scores) + result_indices = [r["index"] for r in result] + assert set(result_indices) == {0, 1, 2} + + @pytest.mark.asyncio + async def test_api_receives_no_top_n_when_chunking_enabled(self): + """ + Test that the API request does NOT include top_n when chunking is enabled. + + This ensures all chunk scores are retrieved for proper aggregation. + """ + documents = [" ".join([f"word{i}" for i in range(100)]), "short doc"] + query = "test query" + + captured_payload = {} + + mock_response = Mock() + mock_response.status = 200 + mock_response.json = AsyncMock( + return_value={ + "results": [ + {"index": 0, "relevance_score": 0.9}, + {"index": 1, "relevance_score": 0.8}, + {"index": 2, "relevance_score": 0.7}, + ] + } + ) + mock_response.request_info = None + mock_response.history = None + mock_response.headers = {} + mock_response.__aenter__ = AsyncMock(return_value=mock_response) + mock_response.__aexit__ = AsyncMock(return_value=None) + + def capture_post(*args, **kwargs): + captured_payload.update(kwargs.get("json", {})) + return mock_response + + mock_session = Mock() + mock_session.post = Mock(side_effect=capture_post) + mock_session.__aenter__ = AsyncMock(return_value=mock_session) + mock_session.__aexit__ = AsyncMock(return_value=None) + + with patch("lightrag.rerank.aiohttp.ClientSession", return_value=mock_session): + await cohere_rerank( + query=query, + documents=documents, + api_key="test-key", + base_url="http://test.com/rerank", + enable_chunking=True, + max_tokens_per_doc=30, + top_n=1, # User wants top 1 document + ) + + # Verify: API payload should NOT have top_n (disabled for chunking) + assert "top_n" not in captured_payload + + @pytest.mark.asyncio + async def test_top_n_not_modified_when_chunking_disabled(self): + """ + Test that top_n is passed through to API when chunking is disabled. + """ + documents = ["doc1", "doc2"] + query = "test query" + + captured_payload = {} + + mock_response = Mock() + mock_response.status = 200 + mock_response.json = AsyncMock( + return_value={ + "results": [ + {"index": 0, "relevance_score": 0.9}, + ] + } + ) + mock_response.request_info = None + mock_response.history = None + mock_response.headers = {} + mock_response.__aenter__ = AsyncMock(return_value=mock_response) + mock_response.__aexit__ = AsyncMock(return_value=None) + + def capture_post(*args, **kwargs): + captured_payload.update(kwargs.get("json", {})) + return mock_response + + mock_session = Mock() + mock_session.post = Mock(side_effect=capture_post) + mock_session.__aenter__ = AsyncMock(return_value=mock_session) + mock_session.__aexit__ = AsyncMock(return_value=None) + + with patch("lightrag.rerank.aiohttp.ClientSession", return_value=mock_session): + await cohere_rerank( + query=query, + documents=documents, + api_key="test-key", + base_url="http://test.com/rerank", + enable_chunking=False, # Chunking disabled + top_n=1, + ) + + # Verify: API payload should have top_n when chunking is disabled + assert captured_payload.get("top_n") == 1 + + @pytest.mark.offline class TestCohereRerankChunking: """Integration tests for cohere_rerank with chunking enabled"""