Implement Token-Aware Context Management Algorithm

[eyenpi]

Overview

Create a smart context management algorithm that optimizes token usage and maintains context within model token limits.

Requirements

• Create TokenAwareAlgorithm class extending BaseAlgorithm
• Features:
  • Real-time token counting
  • Dynamic context window sizing
  • Priority-based message retention
  • Token budget management
  • Support for different tokenizers (tiktoken, sentencepiece)

Technical Details

• Token counting:
  • Message content
  • System prompts
  • Function calls
  • Response tokens
• Smart truncation strategies:
  • Preserve recent messages
  • Keep important context
  • Remove redundant information
• Configurable buffer for response tokens

Acceptance Criteria

• Token counting implementation
• Dynamic context management
• Token budget controls
• Performance testing (minimal overhead)
• Unit tests
• Documentation with usage examples