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Fix logging message formatting

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(cherry picked from commit e0fd31a60d)
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yangdx 2025-10-20 22:09:09 +08:00 • committed by Raphaël MANSUY
parent 12ebc9f2a9
commit 3780addc4c
1 changed files with 26 additions and 18 deletions
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44
env.example
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@ -29,7 +29,7 @@ WEBUI_DESCRIPTION="Simple and Fast Graph Based RAG System"
# OLLAMA_EMULATING_MODEL_NAME=lightrag
OLLAMA_EMULATING_MODEL_TAG=latest
### Max nodes return from grap retrieval in webui
### Max nodes return from graph retrieval in webui
# MAX_GRAPH_NODES=1000
### Logging level
@ -56,29 +56,24 @@ OLLAMA_EMULATING_MODEL_TAG=latest
######################################################################################
### Query Configuration
###
### How to control the context lenght sent to LLM:
### How to control the context length sent to LLM:
### MAX_ENTITY_TOKENS + MAX_RELATION_TOKENS < MAX_TOTAL_TOKENS
### Chunk_Tokens = MAX_TOTAL_TOKENS - Actual_Entity_Tokens - Actual_Reation_Tokens
### Chunk_Tokens = MAX_TOTAL_TOKENS - Actual_Entity_Tokens - Actual_Relation_Tokens
######################################################################################
# LLM responde cache for query (Not valid for streaming response)
# LLM response cache for query (Not valid for streaming response)
ENABLE_LLM_CACHE=true
# COSINE_THRESHOLD=0.2
### Number of entities or relations retrieved from KG
# TOP_K=40
### Maxmium number or chunks for naive vector search
### Maximum number or chunks for naive vector search
# CHUNK_TOP_K=20
### control the actual enties send to LLM
### control the actual entities send to LLM
# MAX_ENTITY_TOKENS=6000
### control the actual relations send to LLM
# MAX_RELATION_TOKENS=8000
### control the maximum tokens send to LLM (include entities, raltions and chunks)
### control the maximum tokens send to LLM (include entities, relations and chunks)
# MAX_TOTAL_TOKENS=30000
### maximum number of related chunks per source entity or relation
### The chunk picker uses this value to determine the total number of chunks selected from KG(knowledge graph)
### Higher values increase re-ranking time
# RELATED_CHUNK_NUMBER=5
### chunk selection strategies
### VECTOR: Pick KG chunks by vector similarity, delivered chunks to the LLM aligning more closely with naive retrieval
### WEIGHT: Pick KG chunks by entity and chunk weight, delivered more solely KG related chunks to the LLM
@ -93,7 +88,7 @@ ENABLE_LLM_CACHE=true
RERANK_BINDING=null
### Enable rerank by default in query params when RERANK_BINDING is not null
# RERANK_BY_DEFAULT=True
### rerank score chunk filter(set to 0.0 to keep all chunks, 0.6 or above if LLM is not strong enought)
### rerank score chunk filter(set to 0.0 to keep all chunks, 0.6 or above if LLM is not strong enough)
# MIN_RERANK_SCORE=0.0
### For local deployment with vLLM
@ -131,7 +126,7 @@ SUMMARY_LANGUAGE=English
# CHUNK_SIZE=1200
# CHUNK_OVERLAP_SIZE=100
### Number of summary semgments or tokens to trigger LLM summary on entity/relation merge (at least 3 is recommented)
### Number of summary segments or tokens to trigger LLM summary on entity/relation merge (at least 3 is recommended)
# FORCE_LLM_SUMMARY_ON_MERGE=8
### Max description token size to trigger LLM summary
# SUMMARY_MAX_TOKENS = 1200
@ -140,6 +135,19 @@ SUMMARY_LANGUAGE=English
### Maximum context size sent to LLM for description summary
# SUMMARY_CONTEXT_SIZE=12000
### control the maximum chunk_ids stored in vector and graph db
# MAX_SOURCE_IDS_PER_ENTITY=300
# MAX_SOURCE_IDS_PER_RELATION=300
### control chunk_ids limitation method: KEEP, FIFO (KEEP: Keep oldest, FIFO: First in first out)
# SOURCE_IDS_LIMIT_METHOD=KEEP
### Maximum number of file paths stored in entity/relation file_path field
# MAX_FILE_PATHS=30
### maximum number of related chunks per source entity or relation
### The chunk picker uses this value to determine the total number of chunks selected from KG(knowledge graph)
### Higher values increase re-ranking time
# RELATED_CHUNK_NUMBER=5
###############################
### Concurrency Configuration
###############################
@ -179,7 +187,7 @@ LLM_BINDING_API_KEY=your_api_key
# OPENAI_LLM_TEMPERATURE=0.9
### Set the max_tokens to mitigate endless output of some LLM (less than LLM_TIMEOUT * llm_output_tokens/second, i.e. 9000 = 180s * 50 tokens/s)
### Typically, max_tokens does not include prompt content, though some models, such as Gemini Models, are exceptions
### For vLLM/SGLang doployed models, or most of OpenAI compatible API provider
### For vLLM/SGLang deployed models, or most of OpenAI compatible API provider
# OPENAI_LLM_MAX_TOKENS=9000
### For OpenAI o1-mini or newer modles
OPENAI_LLM_MAX_COMPLETION_TOKENS=9000
@ -193,7 +201,7 @@ OPENAI_LLM_MAX_COMPLETION_TOKENS=9000
# OPENAI_LLM_REASONING_EFFORT=minimal
### OpenRouter Specific Parameters
# OPENAI_LLM_EXTRA_BODY='{"reasoning": {"enabled": false}}'
### Qwen3 Specific Parameters depoly by vLLM
### Qwen3 Specific Parameters deploy by vLLM
# OPENAI_LLM_EXTRA_BODY='{"chat_template_kwargs": {"enable_thinking": false}}'
### use the following command to see all support options for Ollama LLM
@ -247,8 +255,8 @@ OLLAMA_EMBEDDING_NUM_CTX=8192
### lightrag-server --embedding-binding ollama --help
####################################################################
### WORKSPACE setting workspace name for all storage types
### in the purpose of isolating data from LightRAG instances.
### WORKSPACE sets workspace name for all storage types
### for the purpose of isolating data from LightRAG instances.
### Valid workspace name constraints: a-z, A-Z, 0-9, and _
####################################################################
# WORKSPACE=space1