Feat/claude code refine (#24)
* feat: Add Ollama embedding support for local embedding models * docs: Add clear documentation for Ollama embedding usage * fix: remove leann_ask * docs: remove ollama embedding extra instructions * simplify MCP interface for Claude Code - Remove unnecessary search parameters: search_mode, recompute_embeddings, file_types, min_score - Remove leann_clear tool (not needed for Claude Code workflow) - Streamline search to only use: query, index_name, top_k, complexity - Keep core tools: leann_index, leann_search, leann_status, leann_list 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * remove leann_index from MCP interface Users should use CLI command 'leann build' to create indexes first. MCP now only provides search functionality: - leann_search: search existing indexes - leann_status: check index health - leann_list: list available indexes This separates index creation (CLI) from search (Claude Code). 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * improve CLI with auto project name and .gitignore support - Make index_name optional, auto-use current directory name - Read .gitignore patterns and respect them during indexing - Add _read_gitignore_patterns() to parse .gitignore files - Add _should_exclude_file() for pattern matching - Apply exclusion patterns to both PDF and general file processing - Show helpful messages about gitignore usage Now users can simply run: leann build And it will use project name + respect .gitignore patterns. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
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Andy Lee
@@ -25,32 +25,61 @@ def handle_request(request):
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"tools": [
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{
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"name": "leann_search",
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"description": "Search LEANN index",
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"description": """🔍 Search code using natural language - like having a coding assistant who knows your entire codebase!
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🎯 **Perfect for**:
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- "How does authentication work?" → finds auth-related code
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- "Error handling patterns" → locates try-catch blocks and error logic
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- "Database connection setup" → finds DB initialization code
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- "API endpoint definitions" → locates route handlers
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- "Configuration management" → finds config files and usage
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💡 **Pro tip**: Use this before making any changes to understand existing patterns and conventions.""",
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"inputSchema": {
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"type": "object",
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"properties": {
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"index_name": {"type": "string"},
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"query": {"type": "string"},
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"top_k": {"type": "integer", "default": 5},
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"index_name": {
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"type": "string",
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"description": "Name of the LEANN index to search. Use 'leann_list' first to see available indexes.",
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},
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"query": {
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"type": "string",
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"description": "Search query - can be natural language (e.g., 'how to handle errors') or technical terms (e.g., 'async function definition')",
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},
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"top_k": {
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"type": "integer",
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"default": 5,
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"minimum": 1,
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"maximum": 20,
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"description": "Number of search results to return. Use 5-10 for focused results, 15-20 for comprehensive exploration.",
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},
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"complexity": {
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"type": "integer",
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"default": 32,
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"minimum": 16,
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"maximum": 128,
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"description": "Search complexity level. Use 16-32 for fast searches (recommended), 64+ for higher precision when needed.",
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},
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},
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"required": ["index_name", "query"],
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},
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},
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{
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"name": "leann_ask",
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"description": "Ask question using LEANN RAG",
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"name": "leann_status",
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"description": "📊 Check the health and stats of your code indexes - like a medical checkup for your codebase knowledge!",
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"inputSchema": {
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"type": "object",
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"properties": {
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"index_name": {"type": "string"},
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"question": {"type": "string"},
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"index_name": {
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"type": "string",
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"description": "Optional: Name of specific index to check. If not provided, shows status of all indexes.",
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}
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},
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"required": ["index_name", "question"],
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},
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},
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{
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"name": "leann_list",
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"description": "List all LEANN indexes",
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"description": "📋 Show all your indexed codebases - your personal code library! Use this to see what's available for search.",
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"inputSchema": {"type": "object", "properties": {}},
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},
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]
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@@ -63,19 +92,41 @@ def handle_request(request):
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try:
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if tool_name == "leann_search":
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# Validate required parameters
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if not args.get("index_name") or not args.get("query"):
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return {
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"jsonrpc": "2.0",
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"id": request.get("id"),
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"result": {
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"content": [
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{
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"type": "text",
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"text": "Error: Both index_name and query are required",
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}
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]
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},
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}
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# Build simplified command
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cmd = [
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"leann",
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"search",
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args["index_name"],
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args["query"],
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"--recompute-embeddings",
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f"--top-k={args.get('top_k', 5)}",
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f"--complexity={args.get('complexity', 32)}",
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]
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result = subprocess.run(cmd, capture_output=True, text=True)
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elif tool_name == "leann_ask":
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cmd = f'echo "{args["question"]}" | leann ask {args["index_name"]} --recompute-embeddings --llm ollama --model qwen3:8b'
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result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
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elif tool_name == "leann_status":
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if args.get("index_name"):
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# Check specific index status - for now, we'll use leann list and filter
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result = subprocess.run(["leann", "list"], capture_output=True, text=True)
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# We could enhance this to show more detailed status per index
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else:
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# Show all indexes status
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result = subprocess.run(["leann", "list"], capture_output=True, text=True)
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elif tool_name == "leann_list":
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result = subprocess.run(["leann", "list"], capture_output=True, text=True)
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