feat: Add support for configurable local LLM endpoints (#115)
* feat: support configurable local llm endpoints * docs
This commit is contained in:
@@ -9,6 +9,7 @@ from tqdm import tqdm
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from .api import LeannBuilder, LeannChat, LeannSearcher
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from .registry import register_project_directory
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from .settings import resolve_ollama_host, resolve_openai_api_key, resolve_openai_base_url
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def extract_pdf_text_with_pymupdf(file_path: str) -> str:
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@@ -123,6 +124,24 @@ Examples:
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choices=["sentence-transformers", "openai", "mlx", "ollama"],
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help="Embedding backend mode (default: sentence-transformers)",
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)
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build_parser.add_argument(
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"--embedding-host",
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type=str,
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default=None,
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help="Override Ollama-compatible embedding host",
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)
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build_parser.add_argument(
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"--embedding-api-base",
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type=str,
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default=None,
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help="Base URL for OpenAI-compatible embedding services",
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)
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build_parser.add_argument(
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"--embedding-api-key",
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type=str,
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default=None,
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help="API key for embedding service (defaults to OPENAI_API_KEY)",
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)
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build_parser.add_argument(
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"--force", "-f", action="store_true", help="Force rebuild existing index"
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)
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@@ -248,7 +267,12 @@ Examples:
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ask_parser.add_argument(
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"--model", type=str, default="qwen3:8b", help="Model name (default: qwen3:8b)"
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)
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ask_parser.add_argument("--host", type=str, default="http://localhost:11434")
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ask_parser.add_argument(
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"--host",
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type=str,
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default=None,
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help="Override Ollama-compatible host (defaults to LEANN_OLLAMA_HOST/OLLAMA_HOST)",
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)
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ask_parser.add_argument(
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"--interactive", "-i", action="store_true", help="Interactive chat mode"
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)
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@@ -277,6 +301,18 @@ Examples:
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default=None,
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help="Thinking budget for reasoning models (low/medium/high). Supported by GPT-Oss:20b and other reasoning models.",
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)
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ask_parser.add_argument(
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"--api-base",
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type=str,
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default=None,
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help="Base URL for OpenAI-compatible APIs (e.g., http://localhost:10000/v1)",
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)
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ask_parser.add_argument(
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"--api-key",
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type=str,
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default=None,
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help="API key for OpenAI-compatible APIs (defaults to OPENAI_API_KEY)",
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)
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# List command
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subparsers.add_parser("list", help="List all indexes")
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@@ -1325,10 +1361,20 @@ Examples:
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print(f"Building index '{index_name}' with {args.backend} backend...")
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embedding_options: dict[str, Any] = {}
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if args.embedding_mode == "ollama":
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embedding_options["host"] = resolve_ollama_host(args.embedding_host)
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elif args.embedding_mode == "openai":
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embedding_options["base_url"] = resolve_openai_base_url(args.embedding_api_base)
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resolved_embedding_key = resolve_openai_api_key(args.embedding_api_key)
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if resolved_embedding_key:
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embedding_options["api_key"] = resolved_embedding_key
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builder = LeannBuilder(
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backend_name=args.backend,
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embedding_model=args.embedding_model,
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embedding_mode=args.embedding_mode,
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embedding_options=embedding_options or None,
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graph_degree=args.graph_degree,
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complexity=args.complexity,
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is_compact=args.compact,
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@@ -1476,7 +1522,12 @@ Examples:
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llm_config = {"type": args.llm, "model": args.model}
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if args.llm == "ollama":
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llm_config["host"] = args.host
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llm_config["host"] = resolve_ollama_host(args.host)
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elif args.llm == "openai":
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llm_config["base_url"] = resolve_openai_base_url(args.api_base)
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resolved_api_key = resolve_openai_api_key(args.api_key)
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if resolved_api_key:
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llm_config["api_key"] = resolved_api_key
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chat = LeannChat(index_path=index_path, llm_config=llm_config)
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