# PDF User Manual: LLM Configuration Generator ## Table of Contents 1. Introduction 2. Getting Started 3. Step-by-Step Guide - Step 1: Choose a Template - Step 2: Basic Information - Step 3: Advanced Settings - Step 4: Preview and Download 4. Troubleshooting 5. Frequently Asked Questions 6. Best Practices --- ## 1. Introduction The LLM Configuration Generator is a beginner-friendly tool designed to simplify the process of creating `llms.txt` configuration files for various language models. This intuitive wizard guides users through each step of the configuration process, making it accessible even to those with no technical background. ### Key Features - **Step-by-Step Wizard**: Guided process with visual progress indicators - **Pre-configured Templates**: Ready-to-use settings for popular LLM providers - **Real-time Preview**: See your configuration file as you build it - **Export Options**: Copy to clipboard or download as a file - **Beginner-Friendly Interface**: Clean, modern design with helpful tooltips --- ## 2. Getting Started ### System Requirements - Modern web browser (Chrome, Firefox, Safari, Edge) - Internet connection (for accessing online resources) - No software installation required ### Accessing the Tool 1. Navigate to the webpage where the tool is embedded 2. The tool will appear as a card with a dark theme interface 3. Begin by selecting a template from the first step --- ## 3. Step-by-Step Guide ### Step 1: Choose a Template ![Step 1: Template Selection](screenshot-step1.png) The first step allows you to select a pre-configured template to jumpstart your configuration: 1. **OpenAI GPT**: Pre-configured settings for OpenAI's GPT models (GPT-3.5, GPT-4) - Model: gpt-4 - API Endpoint: https://api.openai.com/v1/chat/completions - Max Tokens: 1000 - Temperature: 0.7 2. **Anthropic Claude**: Settings for Anthropic's Claude models - Model: claude-2 - API Endpoint: https://api.anthropic.com/v1/messages - Max Tokens: 1000 - Temperature: 0.5 3. **Local LLM**: Configuration for running local models with Ollama - Model: llama2 - API Endpoint: http://localhost:11434/api/generate - Max Tokens: 2048 - Temperature: 0.8 4. **Custom**: Start with a blank slate for complete customization **To proceed:** - Click on a template card to select it (it will highlight with a blue border) - Click the "Next" button to proceed to the next step ### Step 2: Basic Information ![Step 2: Basic Information](screenshot-step2.png) In this step, you'll enter the essential details for your LLM configuration: 1. **Model Name**: Enter the specific model you want to use (e.g., gpt-4, claude-instant-1) 2. **API Endpoint**: Provide the URL for the API endpoint 3. **API Key**: Enter your authentication key (if required) 4. **Enable Authentication**: Toggle this switch if your API requires authentication **Tips:** - The template you selected will pre-fill some fields - You can modify any pre-filled values as needed - Hover over the information icon (ⓘ) for helpful tooltips ### Step 3: Advanced Settings ![Step 3: Advanced Settings](screenshot-step3.png) Configure additional parameters to fine-tune your LLM's behavior: 1. **Max Tokens**: Set the maximum number of tokens in the response - Higher values allow longer responses but use more resources - Typical range: 100-4000 2. **Temperature**: Control the randomness of responses - Lower values (0.1-0.5) produce more focused, deterministic responses - Higher values (0.7-1.0) produce more creative, diverse responses - Recommended: 0.7 for balanced results 3. **Enable Streaming**: Toggle to receive responses as they're generated - Useful for real-time applications - Provides faster perceived response times 4. **Filename**: Specify the name for your configuration file (default: llms.txt) ### Step 4: Preview and Download ![Step 4: Preview and Download](screenshot-step4.png) Review your configuration and export it: 1. **Preview Area**: Displays the final `llms.txt` content - Shows all your configured parameters - Format matches industry standards 2. **Export Options**: - **Copy**: Copy the configuration to your clipboard - **Download**: Save as a text file to your device 3. **Navigation**: - Use the "Back" button to return to previous steps - Click "Start Over" to reset the wizard --- ## 4. Troubleshooting ### Common Issues **Problem: Template cards don't respond when clicked** - **Solution**: Ensure you're clicking directly on the card (not the text inside). Try refreshing the page. **Problem: Next button is disabled** - **Solution**: You must select a template in Step 1 before proceeding. Verify that a template is highlighted. **Problem: Configuration doesn't work with my LLM** - **Solution**: Double-check your API endpoint and model name. Verify that your API key is correct and has the necessary permissions. **Problem: Downloaded file is empty** - **Solution**: Ensure all required fields are filled in Step 2. Try generating the configuration again. ### Error Messages - **"Invalid API Endpoint"**: Check the URL format and ensure it's accessible - **"Authentication Failed"**: Verify your API key is correct and has proper permissions - **"Model Not Found"**: Confirm the model name exists and is available --- ## 5. Frequently Asked Questions **Q: What is an llms.txt file?** A: It's a configuration file that contains parameters for language models, including model name, API endpoint, authentication details, and generation settings. **Q: Can I use this tool with any LLM provider?** A: Yes, the tool is designed to work with any LLM provider. Use the "Custom" template to configure settings for providers not listed. **Q: Is my API key stored anywhere?** A: No, your API key is only used to generate the configuration file and is never stored on our servers. **Q: Can I save my configuration for later use?** A: Currently, you can download the configuration file. We recommend saving it to your device for future use. **Q: What's the difference between the templates?** A: Templates provide pre-configured settings optimized for specific providers. They save time and ensure best practices for each platform. **Q: How do I know what values to use for Max Tokens and Temperature?** A: Start with the default values (1000 tokens, 0.7 temperature) and adjust based on your needs. Lower temperature for factual responses, higher for creative content. --- ## 6. Best Practices ### Security - Never share your API keys publicly - Use environment variables for API keys in production - Regularly rotate your API keys ### Configuration Tips - Start with a template and customize as needed - Test with conservative settings first (lower temperature, moderate token limits) - Save different configurations for different use cases ### Optimization - Adjust token limits based on your expected response length - Fine-tune temperature based on your application's needs - Enable streaming for better user experience in chat applications ### File Management - Use descriptive filenames (e.g., "openai-gpt4-chat.txt") - Organize configurations by project or use case - Keep backups of your configuration files --- ## Contact Support For additional support, feature requests, or to report issues: - Email: support@llmconfigtool.com - Documentation: www.llmconfigtool.com/docs - Community Forum: www.llmconfigtool.com/community --- *Version 1.0 | Last Updated: [Current Date]*