agenticforge-context

What problem does it solve?

Manage LLM token budgets by constructing token-aware context for AgenticFORGE conversations, preventing context overflow and ensuring messages fit within a model window.

Core Features & Use Cases

• Configurable token budgets (maxTokens, systemTokenBudget, historyTokenBudget) to tailor context size per model.
• Efficient context assembly that combines system instructions, conversation history, and user queries while respecting token limits.
• Optional augmentation with retrieved or computed context (RAG-like) to improve relevance without exceeding budget.

Quick Start

Create a token-aware context for a user query using a maxTokens budget.