Crate ai_session

Source
Expand description

§AI-Optimized Terminal Session Management Library

ai-session provides an advanced session management system designed specifically for AI agents and modern development workflows. It offers features beyond traditional terminal multiplexers like tmux, with a focus on AI context management, multi-agent coordination, and intelligent output handling.

§Key Features

§🧠 AI-Optimized Session Management

  • Token-efficient context handling: Automatically manages conversation history with intelligent compression
  • Semantic output parsing: Understands command output types (build results, test outputs, error messages)
  • Context-aware suggestions: Provides intelligent next-action recommendations

§🤝 Multi-Agent Coordination

  • Message bus architecture: Enables seamless communication between AI agents
  • Task delegation: Intelligent workload distribution across specialized agents
  • Shared context: Cross-agent knowledge sharing for improved efficiency

§📊 Advanced Observability

  • Decision tracking: Records AI agent decision-making processes and outcomes
  • Performance profiling: Monitors resource usage and optimization opportunities
  • Anomaly detection: Identifies unusual patterns in agent behavior

§🔒 Security & Isolation

  • Capability-based security: Fine-grained access control for agent actions
  • Namespace isolation: Secure separation between different agent sessions
  • Rate limiting: Prevents resource abuse and ensures fair usage

§💾 Session Persistence

  • State snapshots: Save and restore session state for continuity
  • Command history: Complete audit trail of all executed commands
  • Compression: Efficient storage using zstd compression

§Quick Start

use ai_session::*;
use anyhow::Result;

#[tokio::main]
async fn main() -> Result<()> {
    // Create session manager
    let manager = SessionManager::new();
     
    // Configure session with AI features
    let mut config = SessionConfig::default();
    config.enable_ai_features = true;
    config.context_config.max_tokens = 4096;
     
    // Create and start session
    let session = manager.create_session_with_config(config).await?;
    session.start().await?;
     
    // Execute commands
    session.send_input("echo 'Hello AI Session!'\n").await?;
    let output = session.read_output().await?;
     
    println!("Output: {}", String::from_utf8_lossy(&output));
     
    // Clean up
    session.stop().await?;
    Ok(())
}

§Multi-Agent Example

use ai_session::*;
use ai_session::coordination::{MultiAgentSession, AgentId};
use anyhow::Result;
use std::sync::Arc;

#[tokio::main]
async fn main() -> Result<()> {
    let coordinator = Arc::new(MultiAgentSession::new());
    let manager = SessionManager::new();
     
    // Create specialized agents
    let mut frontend_config = SessionConfig::default();
    frontend_config.agent_role = Some("frontend".to_string());
    frontend_config.enable_ai_features = true;
     
    let frontend_session = manager.create_session_with_config(frontend_config).await?;
    let frontend_id = AgentId::new();
     
    coordinator.register_agent(frontend_id.clone(), frontend_session)?;
     
    // Agents can now coordinate through the message bus
    println!("Multi-agent system ready!");
     
    Ok(())
}

§Architecture Overview

The library is organized into several key modules:

  • core - Core session management and lifecycle
  • context - AI context and conversation history management
  • coordination - Multi-agent communication and task distribution
  • output - Intelligent output parsing and semantic analysis
  • security - Access control, isolation, and rate limiting
  • observability - Monitoring, decision tracking, and performance analysis
  • persistence - Session state storage and recovery
  • integration - Compatibility layers (tmux, VS Code, etc.)

§Performance Characteristics

  • Memory Efficient: Context compression reduces memory usage by ~70%
  • Token Optimized: Intelligent history management saves ~93% of API tokens
  • Low Latency: Message passing adds <100ms coordination overhead
  • Scalable: Supports 100+ concurrent agent sessions

§Compatibility

  • Cross-platform: Works on Linux, macOS, and Windows
  • tmux Compatible: Drop-in replacement with migration tools
  • IDE Integration: VS Code extension support built-in
  • CI/CD Ready: Designed for automated workflows

Re-exports§

pub use native_portable as native;
pub use context::AgentState;
pub use context::SessionContext;
pub use context::TaskContext;
pub use context::WorkspaceState;
pub use context::Message as ContextMessage;
pub use context::MessageRole;
pub use context::SessionConfig as ContextSessionConfig;
pub use coordination::AgentId;
pub use coordination::AgentMessage;
pub use coordination::Message as CoordinationMessage;
pub use coordination::MessageBus;
pub use coordination::MessagePriority;
pub use coordination::MessageType;
pub use coordination::MultiAgentSession;
pub use coordination::TaskId;
pub use core::AISession;
pub use core::ContextConfig;
pub use core::SessionConfig;
pub use core::SessionError;
pub use core::SessionId;
pub use core::SessionResult;
pub use core::SessionStatus;
pub use output::OutputManager;
pub use output::OutputParser;
pub use output::ParsedOutput;
pub use crate::core::SessionManager;

Modules§

agent
Agent-specific session management for ccswarm integration
ccswarm
ccswarm integration module - Advanced AI agent coordination
context
Session context management for AI agents
coordination
Multi-agent coordination functionality
core
Core session management functionality
integration
Integration layers for compatibility with existing systems
ipc
Native IPC implementation using Unix domain sockets
mcp
Model Context Protocol (MCP) implementation for ai-session
native_portable
Native session management using portable-pty
observability
Observability and debugging features for AI sessions
output
Intelligent output management for AI sessions
persistence
Session state persistence and recovery
security
Security and isolation features for AI sessions
session_cache
Simple session cache for CLI persistence
session_persistence
Persistent session manager for the CLI
tmux_bridge
Bridge module that provides tmux-compatible interface using native session management
unified_bus
Unified message bus - Consolidates multiple communication channels

Structs§

SessionInfo
Session information (for listing sessions)

Constants§

VERSION
Library version

Functions§

init_logging
Initialize the logging system