Sequential Thinking API

A FastAPI-powered sequential thinking framework that combines structured problem-solving methodologies with AI-enhanced analysis. This system helps break down complex problems into manageable, sequential stages while providing intelligent insights at each step

Overview

Sequential Thinking API is inspired by the Model Context Protocol (MCP) sequential thinking approach, designed to facilitate systematic problem-solving through defined cognitive stages. Unlike scattered, unorganized thinking, this system guides you through a structured process that mirrors how expert problem-solvers approach complex challenges.

What Makes This Special?

• Structured Framework: Organizes thinking through 5 proven cognitive stages
• AI-Enhanced: OpenAI GPT-4 integration provides intelligent analysis and suggestions
• Progress Tracking: Visual timeline and comprehensive session management
• Iterative Process: Build upon previous thoughts with contextual awareness
• Persistent Sessions: Save and revisit complex thinking processes
• Production Ready: Built with FastAPI for scalability and performance

The Sequential Thinking Framework

The Five Stages: Our framework follows a proven cognitive methodology:

• Problem Definition → Clearly articulate what you're solving
• Research → Gather relevant information and context
• Analysis → Break down and examine the components
• Synthesis → Integrate findings into coherent solutions
• Conclusion → Finalize decisions and action plans

Why This Approach Works

• Prevents Analysis Paralysis: Clear structure keeps you moving forward
• Reduces Cognitive Bias: Systematic approach minimizes mental shortcuts
• Improves Decision Quality: Thorough process leads to better outcomes
• Enables Collaboration: Shared framework facilitates team problem-solving
• Creates Documentation: Natural record of reasoning process

Key Features

• Core Functionality

  • Structured Thinking Sessions: Create and manage multiple concurrent problem-solving sessions
  • AI-Powered Analysis: Each thought receives intelligent analysis and improvement suggestions
  • Progress Tracking: Visual timeline showing your journey through the thinking process
  • Contextual Awareness: AI considers previous thoughts when analyzing new ones
  • Metadata Rich: Track tags, axioms, assumptions, and other thinking artifacts

• AI Integration

  • Thought Analysis: GPT-4 evaluates each thought's quality and suggests improvements
  • Next Step Guidance: AI recommends what to explore next based on your progress
  • Session Insights: Comprehensive analysis of your entire thinking process
  • Bias Detection: AI helps identify potential blind spots and assumptions
  • Quality Assessment: Evaluation of reasoning strength at each stage

• Management Features

  • Timeline Visualization: See your thought progression chronologically
  • Summary Generation: Automatic summaries with stage distribution and insights
  • Export Capabilities: JSON export for integration with other tools
  • Health Monitoring: Built-in health checks and status monitoring
  • Session Management: Create, track, and organize multiple thinking sessions

Quick Start

Prerequisites

• Python 3.8 or higher
• OpenAI API key
• Basic understanding of REST APIs

Installation

Clone the repository

git clone https://github.com/your-username/sequential-thinking-api.git
cd sequential-thinking-api

Create virtual environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Set environment variables

export OPENAI_API_KEY="your-openai-api-key-here"

Run the application

python main.py

The API will be available at http://localhost:8000/docs

API Documentation

Interactive Documentation

Once running, visit:

Swagger UI: http://localhost:8000/docs

ReDoc: http://localhost:8000/redoc

Core Endpoints

Add a Thought:

POST /sessions/{session_id}/thoughts

Add a new thought to your thinking session with AI analysis.

Request Body:

json{
    "content": "Your thought content here",
    "thought_number": 1,
    "total_thoughts": 5,
    "stage": "Problem Definition",
    "tags": ["tag1", "tag2"],
    "axioms_used": ["principle1"],
    "assumptions_challenged": ["assumption1"],
    "use_ai_analysis": true
}

Get Session Summary

GET /sessions/{session_id}/summary

Retrieve a comprehensive summary of your thinking session with AI insights.

AI-Guided Next Step

POST /sessions/{session_id}/ai-guided-next-step

Get AI recommendations for your next thinking step. Session Management

GET /sessions                    # List all sessions
GET /sessions/{id}/thoughts      # Get all thoughts in session
DELETE /sessions/{id}            # Clear session

💡 Usage Examples

Business Decision Making

# Problem Definition
add_thought(
    content="Our customer churn rate is 15% monthly, above industry average of 10%",
    stage="Problem Definition",
    tags=["customer retention", "churn analysis"]
)