Remove unnesessary CLI arguments, reduce CLI arguments complexity

• Move storage config from CLI
• Move LLM and embedding binding config from CLI
• Remove chunk config from CLI

lightrag/api/utils_api.py

@@ -122,47 +122,6 @@ def parse_args() -> argparse.Namespace:
         description="LightRAG FastAPI Server with separate working and input directories"
     )
 
-    parser.add_argument(
-        "--kv-storage",
-        default=get_env_value(
-            "LIGHTRAG_KV_STORAGE", DefaultRAGStorageConfig.KV_STORAGE
-        ),
-        help=f"KV storage implementation (default: {DefaultRAGStorageConfig.KV_STORAGE})",
-    )
-    parser.add_argument(
-        "--doc-status-storage",
-        default=get_env_value(
-            "LIGHTRAG_DOC_STATUS_STORAGE", DefaultRAGStorageConfig.DOC_STATUS_STORAGE
-        ),
-        help=f"Document status storage implementation (default: {DefaultRAGStorageConfig.DOC_STATUS_STORAGE})",
-    )
-    parser.add_argument(
-        "--graph-storage",
-        default=get_env_value(
-            "LIGHTRAG_GRAPH_STORAGE", DefaultRAGStorageConfig.GRAPH_STORAGE
-        ),
-        help=f"Graph storage implementation (default: {DefaultRAGStorageConfig.GRAPH_STORAGE})",
-    )
-    parser.add_argument(
-        "--vector-storage",
-        default=get_env_value(
-            "LIGHTRAG_VECTOR_STORAGE", DefaultRAGStorageConfig.VECTOR_STORAGE
-        ),
-        help=f"Vector storage implementation (default: {DefaultRAGStorageConfig.VECTOR_STORAGE})",
-    )
-
-    # Bindings configuration
-    parser.add_argument(
-        "--llm-binding",
-        default=get_env_value("LLM_BINDING", "ollama"),
-        help="LLM binding to be used. Supported: lollms, ollama, openai (default: from env or ollama)",
-    )
-    parser.add_argument(
-        "--embedding-binding",
-        default=get_env_value("EMBEDDING_BINDING", "ollama"),
-        help="Embedding binding to be used. Supported: lollms, ollama, openai (default: from env or ollama)",
-    )
-
     # Server configuration
     parser.add_argument(
         "--host",
@@ -188,65 +147,6 @@ def parse_args() -> argparse.Namespace:
         help="Directory containing input documents (default: from env or ./inputs)",
     )
 
-    # LLM Model configuration
-    parser.add_argument(
-        "--llm-binding-host",
-        default=get_env_value("LLM_BINDING_HOST", None),
-        help="LLM server host URL. If not provided, defaults based on llm-binding:\n"
-        + "- ollama: http://localhost:11434\n"
-        + "- lollms: http://localhost:9600\n"
-        + "- openai: https://api.openai.com/v1",
-    )
-
-    default_llm_api_key = get_env_value("LLM_BINDING_API_KEY", None)
-
-    parser.add_argument(
-        "--llm-binding-api-key",
-        default=default_llm_api_key,
-        help="llm server API key (default: from env or empty string)",
-    )
-
-    parser.add_argument(
-        "--llm-model",
-        default=get_env_value("LLM_MODEL", "mistral-nemo:latest"),
-        help="LLM model name (default: from env or mistral-nemo:latest)",
-    )
-
-    # Embedding model configuration
-    parser.add_argument(
-        "--embedding-binding-host",
-        default=get_env_value("EMBEDDING_BINDING_HOST", None),
-        help="Embedding server host URL. If not provided, defaults based on embedding-binding:\n"
-        + "- ollama: http://localhost:11434\n"
-        + "- lollms: http://localhost:9600\n"
-        + "- openai: https://api.openai.com/v1",
-    )
-
-    default_embedding_api_key = get_env_value("EMBEDDING_BINDING_API_KEY", "")
-    parser.add_argument(
-        "--embedding-binding-api-key",
-        default=default_embedding_api_key,
-        help="embedding server API key (default: from env or empty string)",
-    )
-
-    parser.add_argument(
-        "--embedding-model",
-        default=get_env_value("EMBEDDING_MODEL", "bge-m3:latest"),
-        help="Embedding model name (default: from env or bge-m3:latest)",
-    )
-
-    parser.add_argument(
-        "--chunk_size",
-        default=get_env_value("CHUNK_SIZE", 1200),
-        help="chunk chunk size default 1200",
-    )
-
-    parser.add_argument(
-        "--chunk_overlap_size",
-        default=get_env_value("CHUNK_OVERLAP_SIZE", 100),
-        help="chunk overlap size default 100",
-    )
-
     def timeout_type(value):
         if value is None or value == "None":
             return None
@@ -272,18 +172,6 @@ def parse_args() -> argparse.Namespace:
         default=get_env_value("MAX_TOKENS", 32768, int),
         help="Maximum token size (default: from env or 32768)",
     )
-    parser.add_argument(
-        "--embedding-dim",
-        type=int,
-        default=get_env_value("EMBEDDING_DIM", 1024, int),
-        help="Embedding dimensions (default: from env or 1024)",
-    )
-    parser.add_argument(
-        "--max-embed-tokens",
-        type=int,
-        default=get_env_value("MAX_EMBED_TOKENS", 8192, int),
-        help="Maximum embedding token size (default: from env or 8192)",
-    )
 
     # Logging configuration
     parser.add_argument(
@@ -376,6 +264,42 @@ def parse_args() -> argparse.Namespace:
     args.working_dir = os.path.abspath(args.working_dir)
     args.input_dir = os.path.abspath(args.input_dir)
 
+    # Inject storage configuration from environment variables
+    args.kv_storage = get_env_value(
+        "LIGHTRAG_KV_STORAGE", DefaultRAGStorageConfig.KV_STORAGE
+    )
+    args.doc_status_storage = get_env_value(
+        "LIGHTRAG_DOC_STATUS_STORAGE", DefaultRAGStorageConfig.DOC_STATUS_STORAGE
+    )
+    args.graph_storage = get_env_value(
+        "LIGHTRAG_GRAPH_STORAGE", DefaultRAGStorageConfig.GRAPH_STORAGE
+    )
+    args.vector_storage = get_env_value(
+        "LIGHTRAG_VECTOR_STORAGE", DefaultRAGStorageConfig.VECTOR_STORAGE
+    )
+
+    # Inject binding configuration
+    args.llm_binding = get_env_value("LLM_BINDING", "ollama")
+    args.embedding_binding = get_env_value("EMBEDDING_BINDING", "ollama")
+    args.llm_binding_host = get_env_value(
+        "LLM_BINDING_HOST", get_default_host(args.llm_binding)
+    )
+    args.embedding_binding_host = get_env_value(
+        "EMBEDDING_BINDING_HOST", get_default_host(args.embedding_binding)
+    )
+    args.llm_binding_api_key = get_env_value("LLM_BINDING_API_KEY", None)
+    args.embedding_binding_api_key = get_env_value("EMBEDDING_BINDING_API_KEY", "")
+
+    # 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)
+    args.max_embed_tokens = get_env_value("MAX_EMBED_TOKENS", 8192, int)
+
+    # Inject chunk configuration
+    args.chunk_size = get_env_value("CHUNK_SIZE", 1200, int)
+    args.chunk_overlap_size = get_env_value("CHUNK_OVERLAP_SIZE", 100, int)
+
     ollama_server_infos.LIGHTRAG_MODEL = args.simulated_model_name
 
     return args