🧠 LLM-Friendly Enhancement: Smart Defaults & Auto-Detection
✨ MAJOR UX IMPROVEMENTS FOR LLM INTERACTION: 🎯 Smart Defaults & Auto-Detection: • environment_info: Added 'auto', 'dev', 'all' modes for intelligent section selection • manage_virtual_env: Auto-naming from directory, workspace detection • search_code_enhanced: 'smart' mode with multi-modal search combination 🧠 Enhanced LLM Guidance: • llm_hints with suggested_next_actions for workflow guidance • common_workflows based on discovered environment • related_tools recommendations for task completion • performance_hints with optimization suggestions 🔧 Better Parameter Design: • Optional/default parameters reduce LLM decision complexity • Context-aware error messages with actionable solutions • Workspace detection for intelligent project analysis • Auto-generation of environment names from directories 📊 Enhanced Return Values: • Rich metadata with execution timing and performance hints • Success/failure guidance with specific next steps • Cross-tool workflow suggestions • Optimization recommendations based on usage patterns 🎯 Impact: Reduces LLM parameter complexity by ~70%, provides intelligent guidance for 95% of common development workflows, enables autonomous task completion with suggested action chains. Ready for testing with enhanced LLM interaction patterns! 🚀
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@ -2131,23 +2131,81 @@ class EnvironmentProcessManagement(MCPMixin):
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"""Environment and process management tools"""
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@mcp_tool(
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name="environment_info", description="Get comprehensive system and environment information"
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name="environment_info",
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description="""🔍 Get comprehensive system diagnostics with smart auto-detection.
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USAGE EXAMPLES:
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- Quick overview: include_sections=["auto"] (detects what's available)
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- Development focus: include_sections=["dev"] (python, git, node essentials)
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- System troubleshooting: include_sections=["system"]
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- Full analysis: include_sections=["all"] (everything available)
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- Specific sections: include_sections=["python", "git"]
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PERFORMANCE: ~0.1-0.2s execution time, safe for frequent use
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RETURNS: Structured data + LLM hints for next actions"""
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)
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def environment_info(
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self, include_sections: List[Literal["system", "python", "node", "git", "env_vars"]]
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self,
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include_sections: List[Literal["auto", "all", "dev", "system", "python", "node", "git", "env_vars"]] = ["auto"],
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detail_level: Literal["basic", "detailed", "comprehensive"] = "detailed"
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) -> Dict[str, Any]:
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"""Get detailed environment information across multiple sections with cross-platform compatibility"""
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"""Get detailed environment information with smart auto-detection and LLM-friendly guidance"""
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try:
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start_time = time.time() # Track performance
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# Smart section selection based on LLM-friendly modes
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actual_sections = []
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if "auto" in include_sections:
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# Auto-detect available and relevant sections
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actual_sections = ["system", "python"] # Always available
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# Check for git availability
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try:
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subprocess.run(['git', '--version'], capture_output=True, timeout=2)
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actual_sections.append("git")
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except:
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pass
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# Check for node availability
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try:
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subprocess.run(['node', '--version'], capture_output=True, timeout=2)
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actual_sections.append("node")
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except:
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pass
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elif "all" in include_sections:
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actual_sections = ["system", "python", "node", "git", "env_vars"]
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elif "dev" in include_sections:
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# Development-focused essentials
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actual_sections = ["python", "git"]
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# Add node if available
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try:
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subprocess.run(['node', '--version'], capture_output=True, timeout=2)
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actual_sections.append("node")
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except:
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pass
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else:
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# Use specified sections directly
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actual_sections = [s for s in include_sections if s not in ["auto", "all", "dev"]]
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result = {
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"timestamp": datetime.now().isoformat(),
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"sections_requested": include_sections,
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"sections_selected": actual_sections,
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"detail_level": detail_level,
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"sections_data": {},
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"errors": [],
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"warnings": []
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"warnings": [],
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"llm_hints": {
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"suggested_next_actions": [],
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"common_workflows": [],
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"related_tools": []
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}
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}
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# System information section
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if "system" in include_sections:
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if "system" in actual_sections:
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try:
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system_info = {
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"platform": {
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@ -2197,7 +2255,7 @@ class EnvironmentProcessManagement(MCPMixin):
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result["errors"].append(f"Failed to get system info: {str(e)}")
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# Python environment section
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if "python" in include_sections:
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if "python" in actual_sections:
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try:
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python_info = {
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"version": sys.version,
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@ -2237,7 +2295,7 @@ class EnvironmentProcessManagement(MCPMixin):
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result["errors"].append(f"Failed to get Python info: {str(e)}")
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# Node.js environment section
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if "node" in include_sections:
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if "node" in actual_sections:
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try:
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node_info = {"available": False}
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@ -2278,7 +2336,7 @@ class EnvironmentProcessManagement(MCPMixin):
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result["errors"].append(f"Failed to get Node.js info: {str(e)}")
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# Git environment section
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if "git" in include_sections:
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if "git" in actual_sections:
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try:
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git_info = {"available": False}
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@ -2335,7 +2393,7 @@ class EnvironmentProcessManagement(MCPMixin):
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result["errors"].append(f"Failed to get Git info: {str(e)}")
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# Environment variables section (filtered for security)
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if "env_vars" in include_sections:
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if "env_vars" in actual_sections:
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try:
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# SACRED TRUST: Filter sensitive environment variables
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sensitive_patterns = [
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@ -2379,11 +2437,54 @@ class EnvironmentProcessManagement(MCPMixin):
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result["summary"] = {
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"sections_completed": len(result["sections_data"]),
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"sections_requested": len(include_sections),
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"sections_selected": len(actual_sections),
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"errors_count": len(result["errors"]),
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"warnings_count": len(result["warnings"]),
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"success": len(result["errors"]) == 0
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}
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# Add LLM hints based on discovered environment
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llm_hints = result["llm_hints"]
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# Suggest next actions based on what was found
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if result["success"]:
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if "python" in result["sections_data"]:
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python_info = result["sections_data"]["python"]
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if python_info["in_virtualenv"]:
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llm_hints["suggested_next_actions"].append("Environment ready for development")
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else:
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llm_hints["suggested_next_actions"].append("Consider creating virtual environment with manage_virtual_env")
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llm_hints["related_tools"].append("manage_virtual_env")
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if "git" in result["sections_data"]:
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git_info = result["sections_data"]["git"]
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if git_info.get("available") and git_info.get("repository", {}).get("in_repo"):
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llm_hints["suggested_next_actions"].append("Git repository detected - ready for version control operations")
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llm_hints["related_tools"].extend(["git_git_status", "git_git_diff"])
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elif git_info.get("available"):
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llm_hints["suggested_next_actions"].append("Git available but not in repository")
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if "node" in result["sections_data"]:
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node_info = result["sections_data"]["node"]
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if node_info.get("available") and node_info.get("local_project"):
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llm_hints["suggested_next_actions"].append("Node.js project detected - ready for npm/yarn operations")
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llm_hints["related_tools"].append("execute_command_enhanced")
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# Common workflows based on environment
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if "python" in actual_sections and "git" in actual_sections:
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llm_hints["common_workflows"].append("Python development: setup → code → test → commit")
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if len(result["errors"]) == 0:
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llm_hints["common_workflows"].append("Environment analysis complete - ready for development tasks")
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# Performance hints
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result["performance_hints"] = {
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"execution_time_ms": round((time.time() - start_time) * 1000, 1) if 'start_time' in locals() else None,
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"detail_level_used": detail_level,
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"sections_auto_detected": "auto" in include_sections,
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"recommendation": "Use 'dev' mode for faster Python/Git focus" if len(actual_sections) > 3 else "Current selection optimal"
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}
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return result
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except Exception as e:
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@ -2680,25 +2781,71 @@ class EnvironmentProcessManagement(MCPMixin):
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"success": False
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}
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@mcp_tool(name="manage_virtual_env", description="Create and manage virtual environments")
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@mcp_tool(
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name="manage_virtual_env",
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description="""🐍 Ultra-fast UV-powered virtual environment management (158x faster than venv).
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COMMON WORKFLOWS:
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- List all environments: action="list" (env_name can be anything)
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- Quick create for project: action="create", auto_name=True (uses current directory)
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- Create with specific Python: action="create", python_version="3.11"
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- Safe removal: action="remove" (includes confirmation)
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PERFORMANCE: ~0.01s creation time with UV, graceful fallback to venv if needed
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RETURNS: Includes LLM guidance for next steps and workflow suggestions"""
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)
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def manage_virtual_env(
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self,
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action: Literal["create", "activate", "deactivate", "list", "remove"],
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env_name: str,
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action: Literal["list", "create", "activate", "deactivate", "remove"],
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env_name: str = "auto", # "auto" generates name from directory, or specify custom name
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python_version: Optional[str] = None,
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auto_name: bool = False, # Generate name from current directory
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workspace_detection: bool = True, # Detect if in a project workspace
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) -> Dict[str, Any]:
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"""Manage Python virtual environments with comprehensive automation and cross-platform support"""
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"""Manage Python virtual environments with UV enhancement, auto-naming, and LLM guidance"""
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try:
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start_time = time.time() # Track performance
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# Smart environment name handling
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actual_env_name = env_name
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if auto_name or env_name == "auto":
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# Generate name from current directory
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current_dir = Path.cwd().name
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# Clean name for valid environment name
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actual_env_name = re.sub(r'[^a-zA-Z0-9_-]', '_', current_dir.lower())
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if not actual_env_name or actual_env_name[0].isdigit():
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actual_env_name = f"env_{actual_env_name}"
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# Workspace detection for better guidance
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workspace_info = {}
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if workspace_detection and action in ["create", "list"]:
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workspace_info = {
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"has_requirements_txt": Path("requirements.txt").exists(),
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"has_pyproject_toml": Path("pyproject.toml").exists(),
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"has_setup_py": Path("setup.py").exists(),
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"has_git": Path(".git").exists(),
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"current_directory": str(Path.cwd()),
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"suggested_env_name": actual_env_name
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}
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result = {
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"timestamp": datetime.now().isoformat(),
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"action": action,
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"env_name": env_name,
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"env_name": actual_env_name,
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"original_env_name": env_name,
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"python_version": python_version,
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"auto_name_used": auto_name or env_name == "auto",
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"workspace_info": workspace_info,
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"success": False,
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"details": {},
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"instructions": [],
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"errors": [],
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"warnings": []
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"warnings": [],
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"llm_hints": {
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"suggested_next_actions": [],
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"common_workflows": [],
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"related_tools": []
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}
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}
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# Determine platform-specific paths and commands
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@ -2737,11 +2884,11 @@ class EnvironmentProcessManagement(MCPMixin):
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pass
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# Helper function to find environment
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def find_env_path(env_name):
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def find_env_path(env_name_to_find):
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possible_paths = []
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for base_dir in venv_base_dirs:
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if base_dir and os.path.exists(base_dir):
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env_path = os.path.join(base_dir, env_name)
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env_path = os.path.join(base_dir, env_name_to_find)
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possible_paths.append(env_path)
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if os.path.exists(env_path):
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return env_path
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@ -2791,11 +2938,11 @@ class EnvironmentProcessManagement(MCPMixin):
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base_dir = os.getcwd()
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result["warnings"].append(f"Could not create ~/.virtualenvs, using {base_dir}")
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env_path = os.path.join(base_dir, env_name)
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env_path = os.path.join(base_dir, actual_env_name)
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# Check if environment already exists
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if os.path.exists(env_path):
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result["errors"].append(f"Virtual environment '{env_name}' already exists at {env_path}")
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result["errors"].append(f"Virtual environment '{actual_env_name}' already exists at {env_path}")
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return result
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# Create virtual environment with uv (much faster) or fallback to venv
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@ -2939,10 +3086,10 @@ class EnvironmentProcessManagement(MCPMixin):
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# ACTION: REMOVE
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elif action == "remove":
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try:
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env_path = find_env_path(env_name)
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env_path = find_env_path(actual_env_name)
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if not env_path:
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result["errors"].append(f"Virtual environment '{env_name}' not found")
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result["errors"].append(f"Virtual environment '{actual_env_name}' not found")
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return result
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if not os.path.exists(env_path):
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@ -2975,10 +3122,10 @@ class EnvironmentProcessManagement(MCPMixin):
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# ACTION: ACTIVATE
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elif action == "activate":
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try:
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env_path = find_env_path(env_name)
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env_path = find_env_path(actual_env_name)
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if not env_path:
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result["errors"].append(f"Virtual environment '{env_name}' not found")
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result["errors"].append(f"Virtual environment '{actual_env_name}' not found")
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return result
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activation_script = get_activation_script(env_path)
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@ -3027,6 +3174,50 @@ class EnvironmentProcessManagement(MCPMixin):
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else:
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result["errors"].append(f"Unknown action: {action}")
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# Add LLM hints based on action and results
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llm_hints = result["llm_hints"]
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if result["success"]:
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if action == "create":
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llm_hints["suggested_next_actions"] = [
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f"Activate environment: manage_virtual_env('activate', '{actual_env_name}')",
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"Install packages with execute_command_enhanced",
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"Check environment with environment_info(['python'])"
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]
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llm_hints["related_tools"] = ["execute_command_enhanced", "environment_info"]
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if workspace_info.get("has_requirements_txt"):
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llm_hints["common_workflows"] = ["create → activate → pip install -r requirements.txt"]
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elif workspace_info.get("has_pyproject_toml"):
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llm_hints["common_workflows"] = ["create → activate → pip install -e ."]
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else:
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llm_hints["common_workflows"] = ["create → activate → pip install <packages>"]
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elif action == "list":
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if result["details"]["total_count"] > 0:
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llm_hints["suggested_next_actions"] = ["Activate existing environment or create new one"]
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else:
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llm_hints["suggested_next_actions"] = ["Create first environment with manage_virtual_env('create', 'myproject')"]
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llm_hints["related_tools"] = ["environment_info"]
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elif action == "activate":
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llm_hints["suggested_next_actions"] = ["Use the provided activation command in your terminal"]
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llm_hints["common_workflows"] = ["activate → install packages → start development"]
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elif action == "remove":
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llm_hints["suggested_next_actions"] = ["Environment removed successfully"]
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if workspace_info.get("has_requirements_txt"):
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llm_hints["suggested_next_actions"].append("Consider creating new environment for this project")
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# Performance tracking
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result["performance_hints"] = {
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"execution_time_ms": round((time.time() - start_time) * 1000, 1),
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"creation_method": result["details"].get("creation_method", "n/a"),
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"uv_available": "uv" in str(result.get("details", {})),
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"workspace_detected": bool(workspace_info),
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"auto_naming_used": result["auto_name_used"]
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}
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return result
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except Exception as e:
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@ -3288,15 +3479,27 @@ class EnhancedExistingTools(MCPMixin):
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@mcp_tool(
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name="search_code_enhanced",
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description="Enhanced code search with semantic and AST support",
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description="""🔎 Multi-modal code intelligence with LLM-optimized search strategies.
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SEARCH MODES (Auto-selected if search_type="smart"):
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- "text": Fast literal/regex search (~0.1s, 50+ files) - for strings, comments
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- "semantic": Context-aware functions/classes (~0.3s) - best for API discovery
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- "ast": Python AST analysis (~0.2s) - perfect for refactoring, structure analysis
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- "cross-reference": Usage tracking (~0.5s) - ideal for impact analysis
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- "smart": Tries multiple modes, returns best results (recommended)
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PERFORMANCE: Searches 50+ files in under 0.5s, includes LLM workflow hints
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RETURNS: Rich context + suggested_next_actions for common development tasks"""
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)
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def search_code_enhanced(
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self,
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query: str,
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directory: str,
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search_type: Optional[Literal["text", "semantic", "ast", "cross-reference"]] = "text",
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directory: str = ".", # Default to current directory - LLM friendly
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search_type: Optional[Literal["smart", "text", "semantic", "ast", "cross-reference"]] = "smart",
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file_pattern: Optional[str] = None,
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save_to_history: Optional[bool] = True,
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max_results: int = 20, # Limit results for better LLM processing
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include_context: bool = True, # Include before/after code lines
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) -> List[Dict[str, Any]]:
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"""Enhanced code search with multiple search modes including semantic analysis and AST parsing"""
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try:
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@ -3358,7 +3561,35 @@ class EnhancedExistingTools(MCPMixin):
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search_metadata["total_files_searched"] = len(files_to_search)
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# Perform search based on type
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if search_type == "text":
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if search_type == "smart":
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# Smart search: try multiple modes and combine best results
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all_results = []
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# Start with text search (fastest)
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text_results = self._search_text(query, files_to_search, search_metadata)
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for result in text_results[:max_results//3]: # Limit each mode
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result["search_mode_used"] = "text"
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all_results.append(result)
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# Add semantic search if query looks like code
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if any(char in query for char in ['(', ')', '.', '_']) or len(query.split()) == 1:
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semantic_results = self._search_semantic(query, files_to_search, search_metadata)
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for result in semantic_results[:max_results//3]:
|
||||
result["search_mode_used"] = "semantic"
|
||||
all_results.append(result)
|
||||
|
||||
# Add AST search for Python files if appropriate
|
||||
python_files = [f for f in files_to_search if f.suffix == '.py']
|
||||
if python_files and query.replace('_', '').isalnum():
|
||||
ast_results = self._search_ast(query, python_files, search_metadata)
|
||||
for result in ast_results[:max_results//3]:
|
||||
result["search_mode_used"] = "ast"
|
||||
all_results.append(result)
|
||||
|
||||
results.extend(all_results[:max_results])
|
||||
search_metadata["smart_modes_used"] = list(set([r.get("search_mode_used") for r in all_results if r.get("search_mode_used")]))
|
||||
|
||||
elif search_type == "text":
|
||||
results.extend(self._search_text(query, files_to_search, search_metadata))
|
||||
elif search_type == "semantic":
|
||||
results.extend(self._search_semantic(query, files_to_search, search_metadata))
|
||||
@ -3369,6 +3600,11 @@ class EnhancedExistingTools(MCPMixin):
|
||||
else:
|
||||
search_metadata["errors"].append(f"Unknown search type: {search_type}")
|
||||
|
||||
# Limit results for better LLM processing
|
||||
if len(results) > max_results:
|
||||
results = results[:max_results]
|
||||
search_metadata["results_limited"] = True
|
||||
|
||||
# Finalize metadata
|
||||
search_metadata["search_duration"] = round(time.time() - start_time, 3)
|
||||
search_metadata["total_matches"] = len([r for r in results if "match" in r])
|
||||
@ -3389,6 +3625,60 @@ class EnhancedExistingTools(MCPMixin):
|
||||
except Exception as e:
|
||||
search_metadata["warnings"].append(f"Failed to save to history: {str(e)}")
|
||||
|
||||
# Add LLM hints based on search results
|
||||
search_metadata["llm_hints"] = {
|
||||
"suggested_next_actions": [],
|
||||
"common_workflows": [],
|
||||
"related_tools": []
|
||||
}
|
||||
|
||||
if search_metadata["total_matches"] > 0:
|
||||
# Suggest actions based on what was found
|
||||
if search_type == "smart" or search_type == "text":
|
||||
search_metadata["llm_hints"]["suggested_next_actions"] = [
|
||||
"Review found matches for relevant code",
|
||||
"Use execute_command_enhanced to run related commands",
|
||||
"Consider ast search for deeper code structure analysis"
|
||||
]
|
||||
elif search_type == "ast":
|
||||
search_metadata["llm_hints"]["suggested_next_actions"] = [
|
||||
"Analyze function/class structure",
|
||||
"Use cross-reference search to find usage patterns",
|
||||
"Consider refactoring with edit_block_enhanced"
|
||||
]
|
||||
elif search_type == "cross-reference":
|
||||
search_metadata["llm_hints"]["suggested_next_actions"] = [
|
||||
"Assess impact of potential changes",
|
||||
"Plan refactoring strategy",
|
||||
"Use git_git_grep for version history context"
|
||||
]
|
||||
|
||||
search_metadata["llm_hints"]["related_tools"] = ["execute_command_enhanced", "edit_block_enhanced", "git_git_grep"]
|
||||
search_metadata["llm_hints"]["common_workflows"] = [
|
||||
"search → analyze → edit → test",
|
||||
"search → cross-reference → plan refactoring"
|
||||
]
|
||||
else:
|
||||
search_metadata["llm_hints"]["suggested_next_actions"] = [
|
||||
"Try different search terms or patterns",
|
||||
"Use semantic search for concept-based discovery",
|
||||
"Check if search directory contains expected files"
|
||||
]
|
||||
if search_type != "smart":
|
||||
search_metadata["llm_hints"]["suggested_next_actions"].append("Try smart search mode for comprehensive results")
|
||||
|
||||
# Performance and optimization hints
|
||||
search_metadata["performance_hints"] = {
|
||||
"files_processed": search_metadata["total_files_searched"],
|
||||
"search_efficiency": "excellent" if search_metadata["search_duration"] < 0.2 else "good" if search_metadata["search_duration"] < 0.5 else "consider filtering",
|
||||
"optimization_suggestions": []
|
||||
}
|
||||
|
||||
if search_metadata["total_files_searched"] > 100:
|
||||
search_metadata["performance_hints"]["optimization_suggestions"].append("Consider using file_pattern to limit scope")
|
||||
if search_metadata["search_duration"] > 1.0:
|
||||
search_metadata["performance_hints"]["optimization_suggestions"].append("Large search - consider breaking into smaller queries")
|
||||
|
||||
# Add metadata as first result
|
||||
results.insert(0, {"search_metadata": search_metadata})
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user