Hummerbot AI - Advanced Features
Overview
Hummerbot AI includes several advanced features that enhance the capabilities of the platform beyond basic conversational AI. These features provide additional functionality for complex tasks and specialized use cases.
File Upload & Analysis
Supported File Types
Hummerbot AI supports uploading and analyzing various text-based file types:
- Text files (.txt)
- Markdown files (.md)
- Code files (.tsx, .jsx, .ts, .js, .html, .css, .json, .xml)
- Programming files (.py, .java, .cpp, .c, .h, .hpp, .cs, .rb, .php, .sql)
- Configuration files (.yaml, .yml, .toml)
File Analysis Process
- Upload: Click the paperclip icon to select files from your device
- Processing: Files are read and their content is made available to the AI
- Context Integration: File content is incorporated into the conversation context
- Analysis: The AI can reference and analyze the uploaded content
Best Practices
- Keep file sizes under 5MB
- Use descriptive file names
- Ensure files contain relevant content for your task
- Remove files when no longer needed to maintain context clarity
Reasoning Enhancement
How It Works
When reasoning enhancement is enabled:
- The AI is prompted to think step-by-step
- Reasoning processes are shown in the response
- Complex problems are broken down into logical steps
- Final answers are supported by clear reasoning
Use Cases
- Complex problem solving
- Mathematical calculations
- Logical puzzles
- Analytical tasks
- Research and analysis
Web Search Integration
Functionality
- Real-time web search capabilities
- Integration of current information into responses
- Source citation and verification
- Enhanced accuracy through external data
How It Works
- Enable Web Search: Toggle the Web button in the interface
- Query Processing: The AI uses your request as a search query
- Result Integration: Search results are incorporated into the response
- Source Attribution: Sources are cited in the response
Benefits
- Access to current information
- Enhanced accuracy for time-sensitive queries
- Verification of facts
- Broader knowledge base
Tool Integration
Available Tools
Hummerbot AI integrates with various specialized tools:
Intelligence Tools
- Web Search: Live information from the internet
- Source Verifier: Check reliability of online sources
- Document Researcher: Gather and summarize multiple documents
Development Tools
- Code Runner: Execute and test code snippets
- Repository Analyzer: Understand codebase structure
- Automation Runner: Execute workflows or scripts
- API Tester: Test REST or GraphQL endpoints
Data Tools
- File Reader: Read and extract data from files
- Data Visualizer: Create charts and graphs
- Structured Parser: Parse JSON, XML, or CSV
Reasoning Tools
- Context Memory: Store and recall contextual information
- Knowledge Retriever: Access private knowledge bases
- Decision Mapper: Analyze options and propose decisions
Media Tools
- Image Interpreter: Understand visual content
- Image Generator: Create images from text
- Video Analyzer: Extract information from videos
- Speech Processor: Convert speech to text
Communication Tools
- Text Editor: Refine and rewrite text
- Email Composer: Generate professional emails
- Language Translator: Translate across multiple languages
- Meeting Notes: Summarize calls or transcripts
Ollama Integration
Setup
- Install Ollama on your local machine
- Start the Ollama service (default: http://localhost:11434)
- Configure the Ollama URL in the model selector settings
- Available models will automatically populate in the offline models section
Benefits
- Complete privacy control
- No API costs
- Custom model experimentation
- Offline capability
- Full model control
Configuration
- Access Ollama settings via the gear icon in the model selector
- Enter your Ollama URL (default: http://localhost:11434)
- Save settings to load available models
Task Orchestration
Agentic Workflow
In agentic mode, complex tasks are broken down into smaller, manageable subtasks:
- Task decomposition based on user request
- Dependency management between tasks
- Status tracking (pending, in progress, completed, failed)
- Error handling and retry mechanisms
Process Flow
- Request Analysis: AI analyzes the user's complex request
- Task Breakdown: Request is decomposed into specific tasks
- Execution: Tasks are executed in optimal order
- Result Aggregation: Individual task results are combined
- Response: Comprehensive response is provided to the user
Memory Management
Context Preservation
- Conversation history is maintained during sessions
- Context is preserved across multiple interactions
- Memory is trimmed automatically to maintain performance
- Cross-context sharing between different AI agents
Memory Controls
- Clear conversation history with the reset button
- Export/import conversation history
- Memory optimization settings
- Context window management
Customization Options
Parameter Tuning
- Temperature: Control creativity vs. predictability
- Maximum Length: Set response length limits
- Top-P: Adjust response diversity
- Model-specific settings
Interface Customization
- Theme selection
- Layout preferences
- Font size adjustment
- Display options