> ## Documentation Index > Fetch the complete documentation index at: https://praison.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # context • Rust AI Agent SDK > Context Management Module for PraisonAI Agents. # context Rust AI Agent SDK Context Management Module for PraisonAI Agents. This module provides comprehensive context management capabilities: * Token estimation and budgeting * Context composition within limits * Optimization strategies (truncate, sliding window, summarize) * Multi-agent context isolation # Example ```ignore theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}} use praisonai::{ContextManager, ContextConfig, OptimizerStrategy}; let config = ContextConfig::new() .model("gpt-4o") .strategy(OptimizerStrategy::Smart); let manager = ContextManager::new(config); let budget = manager.allocate_budget(); ``` ## Import ```rust theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}} use praisonai::context::*; ``` ## Classes A segment of context with token count. Tracks token usage across different context segments. Budget allocation for different context components. Configuration for context management. Manages context budget allocation. High-level context manager facade. Context manager for multi-agent scenarios. A line range within a file. A file match from a search. Result of a fast context search. Configuration for FastContext. Strategy for optimizing context when it exceeds limits. ## Functions Get context limit for a model. Get recommended output reserve for a model. Estimate tokens for a string using heuristic (4 chars ≈ 1 token). Estimate tokens for messages. Estimate tokens for tool schemas. *** ## Related Documentation