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# Promptheus Troubleshooting Guide This document provides diagnostic procedures and resolution strategies for common issues encountered during Promptheus operation. ## Provider Configuration Issues ### Provider Auto-Detection Failure **Symptom:** System fails to detect configured providers **Resolution:** ```bash # Explicitly specify provider promptheus --provider google "Prompt" promptheus --provider anthropic "Prompt" promptheus --provider openai "Prompt" promptheus --provider groq "Prompt" promptheus --provider qwen "Prompt" promptheus --provider glm "Prompt" ``` ### Incorrect Provider Selection **Symptom:** System selects unexpected provider **Diagnostic Steps:** ```bash # Verify environment configuration cat .env # Check environment variables env | grep -E '(GOOGLE|ANTHROPIC|OPENAI|GROQ|DASHSCOPE|ZHIPUAI|PROMPTHEUS)' # Override provider selection export PROMPTHEUS_PROVIDER=google ``` ### API Key Validation **Verification Commands:** ```bash # Validate specific provider configuration promptheus validate --providers google promptheus validate --providers anthropic promptheus validate --providers openai promptheus validate --providers groq promptheus validate --providers qwen promptheus validate --providers glm # Test live API connectivity promptheus validate --test-connection ``` ## Installation and Runtime Issues ### Command Not Found Error **Symptom:** Shell reports `promptheus` command not found **Resolution:** ```bash # Reinstall in editable mode pip install -e . # Execute via Python module python -m promptheus.main "Prompt" # Verify installation which promptheus ``` ### Dependency Resolution Errors **Symptom:** Import errors or missing module exceptions **Resolution:** ```bash # Install required dependencies pip install -r requirements.txt # Force reinstallation pip install -e . --force-reinstall ``` ## File Input Issues ### File Not Found Errors **Symptom:** File input fails with path resolution errors **Resolution:** ```bash # Use absolute path promptheus -f /absolute/path/to/prompt.txt # Use relative path from current directory promptheus -f ./relative/path/prompt.txt ``` ## Clipboard Integration Issues ### Platform-Specific Requirements **Linux:** - Install `xclip` or `xsel`: `sudo apt-get install xclip` **macOS:** - Native clipboard support (no additional installation required) **Windows:** - Native clipboard support (no additional installation required) **WSL (Windows Subsystem for Linux):** - May require X server configuration for clipboard access - Verify X server is running and DISPLAY variable is set ## Interactive Mode Issues ### Multiline Input Problems **Symptom:** Unable to insert newlines in prompt input **Resolution:** - Use `Shift+Enter` for newline insertion - Alternative: `Option/Alt+Enter` or `Ctrl+J` - Fallback: Use plain mode if terminal is unresponsive ### Slash Command Failures **Common Issues:** - Commands must begin with `/` prefix (not `:`) - Use `/help` to display available commands - Use Tab key for command completion suggestions ### Session Configuration Management **Commands:** ```bash # Display current session configuration /status # Modify provider /set provider google # Modify model /set model gpt-4o # Toggle modes /toggle refine /toggle skip-questions ``` ## Shell Completion Issues ### Completion Script Not Functional **Symptom:** Tab completion does not work after installation **Diagnostic Steps:** ```bash # Verify completion script generation promptheus completion bash # Should output script # Verify promptheus is in PATH which promptheus # Reload shell configuration source ~/.bashrc # Bash source ~/.zshrc # Zsh # For Poetry environments, create alias alias promptheus='poetry run promptheus' ``` ## Model Discovery Issues ### Model List Not Updating **Symptom:** Model lists appear outdated or do not include newly available models **Resolution:** ```bash # Manually refresh model cache promptheus validate --test-connection # This will also refresh cache # Or, in Web UI: # Go to Settings and click "Refresh Model Cache" button ``` **Cache Location:** - On Unix: `~/.promptheus/models_cache.json` - On Windows: `%APPDATA%/promptheus/models_cache.json` ## Reporting Issues When reporting issues, include the following information: 1. **Command executed:** Full command with all flags 2. **Error output:** Complete error message and stack trace 3. **Environment details:** - Python version (`python --version`) - Operating system and version - Provider and model in use - Installation method (pip, source, Poetry) 4. **Reproduction steps:** Minimal steps to reproduce the issue 5. **Current model cache status:** If issue related to model discovery **Issue Tracker:** https://github.com/abhichandra21/Promptheus/issues ## MCP Server Issues ### MCP Package Not Installed **Symptom:** Error message when starting MCP server ``` Error: The 'mcp' package is not installed. Please install it with 'pip install mcp'. ``` **Resolution:** ```bash # Install MCP package pip install mcp # Or install with development dependencies pip install -e .[dev] # Verify installation python -c "import mcp; print('MCP installed successfully')" ``` ### MCP Server Connection Issues **Symptom:** MCP client cannot connect to Promptheus MCP server **Diagnostic Steps:** ```bash # Verify MCP server starts correctly promptheus mcp # Check for error messages in server output # Test with direct Python execution python -m promptheus.mcp_server # Verify provider configuration promptheus validate --test-connection ``` **Common Causes:** - Missing provider API keys - MCP package not properly installed - Port conflicts (MCP uses stdio transport) ### MCP Tool Execution Errors **Symptom:** MCP tools return error responses **Diagnostic Commands:** ```bash # Test individual MCP tools # Use MCP client to call list_providers # Use MCP client to call validate_environment # Check provider status promptheus list-providers # Validate environment configuration promptheus validate --providers google,openai ``` **Common Error Types:** ```json { "type": "error", "error_type": "ConfigurationError", "message": "No provider configured. Please set API keys in environment." } ``` **Resolution:** ```bash # Configure provider API keys promptheus auth google promptheus auth openai # Or manually set in .env file echo "GOOGLE_API_KEY=your_key_here" >> .env echo "OPENAI_API_KEY=your_key_here" >> .env ``` ### AskUserQuestion Integration Issues **Symptom:** MCP server not handling clarification questions properly **Understanding the Integration Modes:** **Interactive Mode** (when AskUserQuestion is available): - Server automatically asks questions via injected AskUserQuestion function - Seamless user experience within supported clients **Structured Mode** (fallback): - Server returns `clarification_needed` response with formatted questions - Client responsible for calling AskUserQuestion tool - Answers mapped back via `answer_mapping` dictionary **Debugging AskUserQuestion Issues:** ```bash # Test refine_prompt workflow # Step 1: Call with basic prompt that should trigger questions # Step 2: Verify clarification_needed response format # Step 3: Check questions_for_ask_user_question array format # Step 4: Verify answer_mapping structure ``` **Expected Response Format:** ```json { "type": "clarification_needed", "questions_for_ask_user_question": [ { "question": "Who is your target audience?", "header": "Q1", "multiSelect": false, "options": [ {"label": "Technical professionals", "description": "Technical professionals"} ] } ], "answer_mapping": { "q0": "Who is your target audience?" } } ``` ### MCP Client Compatibility Issues **Symptom:** MCP client cannot properly communicate with Promptheus MCP server **Resolution:** ```bash # Ensure MCP client supports: # - Tool calling capabilities # - JSON response processing # - AskUserQuestion tool (for interactive mode) # Test with basic tool calls first # Verify response format compatibility # Check error handling consistency ``` ### Performance Issues with MCP Server **Symptom:** Slow response times from MCP tools **Diagnostic Steps:** ```bash # Test provider connectivity promptheus validate --test-connection # Check for model fallback behavior # Monitor API response times # Verify cache utilization (model cache, etc.) ``` **Optimization Tips:** - Use specific provider/model parameters to avoid auto-detection overhead - Ensure provider API keys are valid to prevent retry delays - Consider using cached model information when available ### MCP Server Logging and Debugging **Enable Debug Logging:** ```bash # Set logging level for MCP server export LOG_LEVEL=DEBUG # Run MCP server with verbose output promptheus mcp --verbose # If supported by client ``` **Common Debug Information:** - Provider initialization sequence - Tool execution timing - Question generation process - Answer mapping validation

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