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Allow 'leann ask' to accept a positional question

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This commit is contained in:
Andy Lee
2025-09-23 15:16:59 -07:00
parent db7ba27ff6
commit 47aeb85f82
3 changed files with 50 additions and 33 deletions
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66
packages/leann-core/src/leann/cli.py
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@@ -257,6 +257,11 @@ Examples:
# Ask command
ask_parser = subparsers.add_parser("ask", help="Ask questions")
ask_parser.add_argument("index_name", help="Index name")
ask_parser.add_argument(
"query",
nargs="?",
help="Question to ask (omit for prompt or when using --interactive)",
)
ask_parser.add_argument(
"--llm",
type=str,
@@ -1531,7 +1536,29 @@ Examples:
chat = LeannChat(index_path=index_path, llm_config=llm_config)
llm_kwargs: dict[str, Any] = {}
if args.thinking_budget:
llm_kwargs["thinking_budget"] = args.thinking_budget
def _ask_once(prompt: str) -> None:
response = chat.ask(
prompt,
top_k=args.top_k,
complexity=args.complexity,
beam_width=args.beam_width,
prune_ratio=args.prune_ratio,
recompute_embeddings=args.recompute_embeddings,
pruning_strategy=args.pruning_strategy,
llm_kwargs=llm_kwargs,
)
print(f"LEANN: {response}")
initial_query = (args.query or "").strip()
if args.interactive:
if initial_query:
_ask_once(initial_query)
print("LEANN Assistant ready! Type 'quit' to exit")
print("=" * 40)
@@ -1544,41 +1571,14 @@ Examples:
if not user_input:
continue
# Prepare LLM kwargs with thinking budget if specified
llm_kwargs = {}
if args.thinking_budget:
llm_kwargs["thinking_budget"] = args.thinking_budget
response = chat.ask(
user_input,
top_k=args.top_k,
complexity=args.complexity,
beam_width=args.beam_width,
prune_ratio=args.prune_ratio,
recompute_embeddings=args.recompute_embeddings,
pruning_strategy=args.pruning_strategy,
llm_kwargs=llm_kwargs,
)
print(f"LEANN: {response}")
_ask_once(user_input)
else:
query = input("Enter your question: ").strip()
if query:
# Prepare LLM kwargs with thinking budget if specified
llm_kwargs = {}
if args.thinking_budget:
llm_kwargs["thinking_budget"] = args.thinking_budget
query = initial_query or input("Enter your question: ").strip()
if not query:
print("No question provided. Exiting.")
return
response = chat.ask(
query,
top_k=args.top_k,
complexity=args.complexity,
beam_width=args.beam_width,
prune_ratio=args.prune_ratio,
recompute_embeddings=args.recompute_embeddings,
pruning_strategy=args.pruning_strategy,
llm_kwargs=llm_kwargs,
)
print(f"LEANN: {response}")
_ask_once(query)
async def run(self, args=None):
parser = self.create_parser()