Session Management Implementation Guide

Overview

The Codex MCP Server provides advanced session management with native Codex CLI v0.50.0+ integration, enabling persistent conversational context and sophisticated AI coding assistance.

Sessions are created on first use when a sessionId is provided. If no sessionId is supplied, this request does not create a session (so it won't appear in listSessions).

Architecture

Session Storage

• In-memory Map-based storage with automatic cleanup

• UUID-based session IDs for unique identification

• TTL management - 24 hour automatic session expiration

• Session limit enforcement - maximum 100 concurrent sessions

Enhanced Session Data Structure

interface SessionData {
  id: string;
  createdAt: Date;
  lastAccessedAt: Date;
  turns: ConversationTurn[];
  codexConversationId?: string; // Native Codex conversation ID
}

interface ConversationTurn {
  prompt: string;
  response: string;
  timestamp: Date;
}

Native Codex Integration

• Automatic conversation ID extraction from Codex CLI output (supports both "session id" and "conversation id" formats)

• Resume functionality using codex exec resume <conversation-id>

• Fallback context building when native resume unavailable

• Model consistency across session interactions

Tool Enhancements

Enhanced Codex Tool

• sessionId (optional): Session ID for conversational context

• resetSession (optional): Reset session history before processing

• model (optional): Model selection (defaults to gpt-5.2-codex)

• reasoningEffort (optional): Control reasoning depth (low/medium/high)

• Smart context building: Uses native resume or fallback context

• Robust error handling: Graceful degradation for various failure modes

ListSessions Tool

• Session enumeration: Returns all active session IDs with comprehensive metadata

• Session introspection: Creation time, last access, turn count, conversation ID

• Management interface: Enables session lifecycle monitoring

Implementation Status ✅

✅ Completed Features

1. Session Storage System

   • InMemorySessionStorage with TTL and cleanup

   • Defensive programming against data corruption

   • Conversation ID tracking and management

2. Enhanced Codex Tool Handler

   • Native resume functionality with fallback

   • GPT-5.2-Codex as intelligent default model

   • Model and reasoning effort parameter support

   • Comprehensive error handling and validation

3. ListSessions Tool

   • Complete session metadata exposure

   • JSON-formatted session information

   • Real-time session status tracking

4. Robust Testing Suite

   • 54 comprehensive tests covering all functionality

   • Edge case handling and error scenario validation

   • Integration testing with Codex CLI interactions

Advanced Benefits

• Native Codex Resume: Optimal conversation continuity using Codex CLI's built-in resume feature

• Intelligent Defaults: GPT-5.2-Codex model selection for superior agentic coding assistance

• Production-Ready: Comprehensive error handling, data validation, and graceful degradation

• Enterprise-Scale: Session management suitable for professional development workflows

• Flexible Configuration: Per-request model and reasoning effort customization

Usage Patterns

Basic Session Usage

# Explicit session management (creates the session on first use)
codex --sessionId "auth-review" "Continue analysis"
codex --sessionId "auth-review" --resetSession true "Start fresh review"

Advanced Configuration

# Model and reasoning control
codex --model "gpt-4" --reasoningEffort "high" "Complex architectural analysis"

# Session with custom parameters
codex --sessionId "deep-dive" --model "gpt-4" --reasoningEffort "high" "Advanced optimization review"

# Session management
listSessions  # View all active sessions

Technical Architecture

Command Flow

Error Handling Strategy

• Graceful Degradation: System continues operation even with corrupted session data

• Defensive Programming: Validates array structures and handles null/undefined gracefully

• Comprehensive Logging: Error context preserved for debugging and monitoring

• Fallback Mechanisms: Manual context building when native resume fails

Performance Considerations

• Memory Management: In-memory, per-process sessions with automatic cleanup of expired sessions (24hr TTL)

• Session Limits: Maximum 100 concurrent sessions to prevent memory exhaustion

• Context Optimization: Only recent turns (last 2) used for manual context building

• Efficient Storage: Minimal session metadata for optimal memory usage