[Question]:Pipeline execution failed: No module named 'workflows.agent_orchestration_engine'

[farh-an]

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Hi, I have installed the Deepcode on kubuntu using instructions provided in github repo but i got this error of no module found see image below and provide support. Thanks

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[rorangzaib]

I am also facing similar issue. I am using openrouter model. After initial plan it is not implementing any thing. I ran it through streamlit. kindly check my following logs on the terminal

streamlit run ui/streamlit_app.py

You can now view your Streamlit app in your browser.

Local URL: http://localhost:8501 Network URL: http://192.168.10.207:8501 External URL: http://59.103.86.242:8501

🚀 Initializing chat-based planning and implementation pipeline 💬 Chat mode: Direct user requirements to code implementation 📁 Working environment: local 📂 Workspace directory: /home/ubuntu/deepcode/DeepCode/deepcode_lab ✅ Workspace status: ready 🧠 Running chat-based planning agent... 💬 Starting chat-based planning agent... Input length: 8139 Input preview: High-Level System Architecture The system is designed as a modular, event-driven architecture orchestrated by a central "Manager" agent. Each specialized agent functions as a microservice, communicati... 🔍 Using search server: brave [INFO] 2025-09-02T11:22:12 mcp_agent.core.context - Configuring logger with level: info [INFO] 2025-09-02T11:22:12 mcp_agent.paper_to_code - Loading subagents from configuration... [INFO] 2025-09-02T11:22:12 mcp_agent.paper_to_code - MCPApp initialized { "data": { "progress_action": "Running", "target": "paper_to_code", "agent_name": "mcp_application_loop", "session_id": "a1a1205d-2a5a-4eae-9c69-fa9378f2d5de" } } [INFO] 2025-09-02T11:22:13 mcp_agent.mcp.mcp_connection_manager - brave: Up and running with a persistent connection! ... Tokens | usage 0 tokens | $0.0000 chat_planning: Connected to server, calling list_tools... Tools available: {'meta': None, 'nextCursor': None, 'tools': [{'name': 'brave_brave_web_search', 'title': None, 'description': 'Performs a web search using the Brave Search API, ideal for general queries, news, articles, and online content. Use this for broad information gathering, recent events, or when you need diverse web sources. Supports pagination, content filtering, and freshness controls. Maximum 20 results per request, with offset for pagination. ', 'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string', 'description': 'Search query (max 400 chars, 50 words)'}, 'count': {'type': 'number', 'description': 'Number of results (1-20, default 10)', 'default': 10}, 'offset': {'type': 'number', 'description': 'Pagination offset (max 9, default 0)', 'default': 0}}, 'required': ['query']}, 'outputSchema': None, 'annotations': None, 'meta': None}, {'name': 'brave_brave_local_search', 'title': None, 'description': "Searches for local businesses and places using Brave's Local Search API. Best for queries related to physical locations, businesses, restaurants, services, etc. Returns detailed information including:\n- Business names and addresses\n- Ratings and review counts\n- Phone numbers and opening hours\nUse this when the query implies 'near me' or mentions specific locations. Automatically falls back to web search if no local results are found.", 'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string', 'description': "Local search query (e.g. 'pizza near Central Park')"}, 'count': {'type': 'number', 'description': 'Number of results (1-20, default 5)', 'default': 5}}, 'required': ['query']}, 'outputSchema': None, 'annotations': None, 'meta': None}]} ✅ LLM attached successfully 🔄 Making LLM request with params: max_tokens=8192, temperature=0.2 ✅ Planning request completed Raw result type: <class 'str'> Raw result length: 5839 🎯 Chat planning completed successfully Planning result preview: ```yaml project_plan: title: "Multi-Agent Invoice Processing System" description: "A modular, event-driven invoice processing system using LangGraph and AI agents to handle invoice ingestion, extraction, validation, compliance, submission, and archival" project_type: "web_app"

file_structure: | invoice-processor/ ├── main.py # FastAPI application entry point ├── config.py # Configuration management ├── requirements.txt ... [INFO] 2025-09-02T11:23:07 mcp_agent.mcp.mcp_aggregator.ChatPlanningAgent - Last aggregator closing, shutting down all persistent connections... [INFO] 2025-09-02T11:23:07 mcp_agent.mcp.mcp_connection_manager - Disconnecting all persistent server connections... [INFO] 2025-09-02T11:23:07 mcp_agent.mcp.mcp_connection_manager - brave: Requesting shutdown... [INFO] 2025-09-02T11:23:07 mcp_agent.mcp.mcp_connection_manager - All persistent server connections signaled to disconnect. 💾 Created chat project workspace: /home/ubuntu/deepcode/DeepCode/deepcode_lab/papers/chat_project_1756794188 📄 Saved requirements to: /home/ubuntu/deepcode/DeepCode/deepcode_lab/papers/chat_project_1756794188/chat_project_1756794188.md 🏗️ Intelligent workspace infrastructure synthesized: Base workspace environment: /home/ubuntu/deepcode/DeepCode/deepcode_lab Research workspace: /home/ubuntu/deepcode/DeepCode/deepcode_lab/papers/chat_project_1756794188 AI-driven path optimization: active [INFO] 2025-09-02T11:23:07 mcp_agent.mcp.mcp_aggregator.ChatPlanningAgent - Connection manager successfully closed and removed from context 💾 Implementation plan saved to /home/ubuntu/deepcode/DeepCode/deepcode_lab/papers/chat_project_1756794188/initial_plan.txt Launching intelligent code synthesis with AI-driven implementation strategies... ⚡ Using standard code implementation workflow (fast mode)... Using initial plan from /home/ubuntu/deepcode/DeepCode/deepcode_lab/papers/chat_project_1756794188/initial_plan.txt [INFO] 2025-09-02T11:23:22 mcp_agent.mcp.mcp_connection_manager - command-executor: Up and running with a persistent connection! [INFO] 2025-09-02T11:23:37 mcp_agent.mcp.mcp_aggregator.StructureGeneratorAgent - Last aggregator closing, shutting down all persistent connections... [INFO] 2025-09-02T11:23:37 mcp_agent.mcp.mcp_connection_manager - Disconnecting all persistent server connections... [INFO] 2025-09-02T11:23:37 mcp_agent.mcp.mcp_connection_manager - command-executor: Requesting shutdown... [INFO] 2025-09-02T11:23:38 mcp_agent.mcp.mcp_connection_manager - All persistent server connections signaled to disconnect. Workflow execution failed: File tree structure not found, please run file tree creation first Code implementation failed: File tree structure not found, please run file tree creation first

[rorangzaib]

last two lines are the issue here

Workflow execution failed: File tree structure not found, please run file tree creation first Code implementation failed: File tree structure not found, please run file tree creation first