Fix some major issue with api and integrations

README.md

@@ -166,25 +166,10 @@ uv install -e ".[test]"
 python run_tests.py
 ```
 
-### Integration with External Systems
-
-TutorX-MCP can integrate with various external educational systems:
-
-1. **Learning Management Systems (LMS)**
-   - Canvas, Moodle, Blackboard
-   - Grade syncing and assignment management
-   
-2. **Open Educational Resources (OER)**
-   - Search and integration with OER repositories
-   - Access to diverse educational content
-   
-3. **Real-time Personalized Tutoring Platforms**
-   - Schedule and manage tutoring sessions
-   - Connect students with expert tutors
+
 
 ## Documentation
 
-- [API Documentation](docs/api.md): Complete API reference for developers
 - [MCP Protocol](docs/mcp.md): Details about the Model Context Protocol
 - [Product Requirements](docs/prd.md): Original requirements document
 - [SDK Documentation](docs/sdk.md): Client SDK usage

client.py

@@ -190,60 +190,13 @@ class TutorXClient:
         return self._call_tool("get_student_analytics", {
             "student_id": student_id,
             "timeframe_days": timeframe_days
-        })
-      def check_submission_originality(self, submission: str, reference_sources: List[str]) -> Dict[str, Any]:
+        })    
+    def check_submission_originality(self, submission: str, reference_sources: List[str]) -> Dict[str, Any]:
         """Check student submission for potential plagiarism"""
         return self._call_tool("check_submission_originality", {
             "submission": submission,
             "reference_sources": reference_sources
         })
-    
-    # ------------ External Integrations ------------
-    
-    def lms_sync_grades(self, lms_type: str, api_url: str, api_key: str, 
-                      course_id: str, assignment_id: str, 
-                      grades: List[Dict[str, Any]]) -> Dict[str, Any]:
-        """Sync grades with a Learning Management System"""
-        return self._call_tool("lms_sync_grades", {
-            "lms_type": lms_type,
-            "api_url": api_url,
-            "api_key": api_key,
-            "course_id": course_id,
-            "assignment_id": assignment_id,
-            "grades": grades
-        })
-    
-    def oer_search(self, repository_url: str, query: str, 
-                  subject: Optional[str] = None, grade_level: Optional[str] = None,
-                  api_key: Optional[str] = None) -> Dict[str, Any]:
-        """Search for educational resources in OER repositories"""
-        params = {
-            "repository_url": repository_url,
-            "query": query
-        }
-        
-        if subject:
-            params["subject"] = subject
-            
-        if grade_level:
-            params["grade_level"] = grade_level
-            
-        if api_key:
-            params["api_key"] = api_key
-            
-        return self._call_tool("oer_search", params)
-    
-    def schedule_tutoring_session(self, platform_url: str, client_id: str, client_secret: str,
-                                student_id: str, subject: str, datetime_str: str) -> Dict[str, Any]:
-        """Schedule a session with a real-time personalized tutoring platform"""
-        return self._call_tool("schedule_tutoring_session", {
-            "platform_url": platform_url,
-            "client_id": client_id,
-            "client_secret": client_secret,
-            "student_id": student_id,
-            "subject": subject,
-            "datetime_str": datetime_str
-        })
 
 # Create a default client instance for easy import
 client = TutorXClient()

docs/api.md

@@ -1,368 +0,0 @@
-# TutorX-MCP API Documentation
-
-This document provides comprehensive documentation for the TutorX-MCP API for developers who want to integrate with the system.
-
-## API Overview
-
-The TutorX-MCP server exposes a Model Context Protocol (MCP) API that allows clients to interact with various educational tools and resources. This API follows the standard MCP protocol as defined in [MCP Specification](https://github.com/anthropics/anthropic-tools/blob/main/mcp/README.md).
-
-## Authentication
-
-For production deployments, all API requests should include an API key in the `Authorization` header:
-
-```
-Authorization: Bearer your-api-key-here
-```
-
-## Base URL
-
-Default: `http://localhost:8000`
-
-For production: See your deployment configuration
-
-## Tools API
-
-Tools represent functionality that can be invoked by MCP clients. Each tool is accessed via:
-
-```
-POST /tools/{tool_name}
-Content-Type: application/json
-
-{
-  "param1": "value1",
-  "param2": "value2"
-}
-```
-
-### Core Features
-
-#### Adaptive Learning Engine
-
-##### `assess_skill`
-
-Assess a student's skill level on a specific concept.
-
-**Request:**
-```json
-{
-  "student_id": "student123",
-  "concept_id": "math_algebra_basics"
-}
-```
-
-**Response:**
-```json
-{
-  "student_id": "student123",
-  "concept_id": "math_algebra_basics",
-  "skill_level": 0.75,
-  "confidence": 0.85,
-  "recommendations": [
-    "Practice more complex problems",
-    "Review related concept: algebra_linear_equations"
-  ],
-  "timestamp": "2025-06-07T10:30:45.123456"
-}
-```
-
-##### `generate_quiz`
-
-Generate a quiz based on specified concepts and difficulty.
-
-**Request:**
-```json
-{
-  "concept_ids": ["math_algebra_basics", "math_algebra_linear_equations"],
-  "difficulty": 2
-}
-```
-
-**Response:**
-```json
-{
-  "quiz_id": "q12345",
-  "concept_ids": ["math_algebra_basics", "math_algebra_linear_equations"],
-  "difficulty": 2,
-  "questions": [
-    {
-      "id": "q1",
-      "text": "Solve for x: 2x + 3 = 7",
-      "type": "algebraic_equation",
-      "answer": "x = 2",
-      "solution_steps": [
-        "2x + 3 = 7",
-        "2x = 7 - 3",
-        "2x = 4",
-        "x = 4/2 = 2"
-      ]
-    }
-  ]
-}
-```
-
-#### Feedback System
-
-##### `analyze_error_patterns`
-
-Analyze common error patterns for a student on a specific concept.
-
-**Request:**
-```json
-{
-  "student_id": "student123",
-  "concept_id": "math_algebra_basics"
-}
-```
-
-**Response:**
-```json
-{
-  "student_id": "student123",
-  "concept_id": "math_algebra_basics",
-  "common_errors": [
-    {
-      "type": "sign_error",
-      "frequency": 0.65,
-      "example": "2x - 3 = 5 → 2x = 5 - 3 → 2x = 2 → x = 1 (should be x = 4)"
-    }
-  ],
-  "recommendations": [
-    "Practice more sign manipulation problems"
-  ]
-}
-```
-
-### Advanced Features
-
-#### Neurological Engagement Monitor
-
-##### `analyze_cognitive_state`
-
-Analyze EEG data to determine cognitive state.
-
-**Request:**
-```json
-{
-  "eeg_data": {
-    "channels": [...],
-    "sampling_rate": 256,
-    "duration": 10.0
-  }
-}
-```
-
-**Response:**
-```json
-{
-  "attention_level": 0.82,
-  "cognitive_load": 0.65,
-  "stress_level": 0.25,
-  "recommendations": [
-    "Student is engaged but approaching cognitive overload",
-    "Consider simplifying next problems slightly"
-  ],
-  "timestamp": "2025-06-07T10:32:15.123456"
-}
-```
-
-### External Integrations
-
-#### Learning Management Systems
-
-##### `lms_sync_grades`
-
-Sync grades with a Learning Management System.
-
-**Request:**
-```json
-{
-  "lms_type": "canvas",
-  "api_url": "https://canvas.example.com/api/v1",
-  "api_key": "your-api-key",
-  "course_id": "course123",
-  "assignment_id": "assign456",
-  "grades": [
-    {
-      "student_id": "student123",
-      "score": 85.5
-    }
-  ]
-}
-```
-
-**Response:**
-```json
-{
-  "success": true,
-  "timestamp": "2025-06-07T10:35:22.123456",
-  "message": "Grades successfully synced"
-}
-```
-
-#### Open Educational Resources
-
-##### `oer_search`
-
-Search for educational resources in OER repositories.
-
-**Request:**
-```json
-{
-  "repository_url": "https://oer.example.com/api",
-  "query": "linear equations",
-  "subject": "mathematics",
-  "grade_level": "8"
-}
-```
-
-**Response:**
-```json
-{
-  "success": true,
-  "count": 2,
-  "results": [
-    {
-      "id": "resource123",
-      "title": "Introduction to Linear Equations",
-      "description": "A comprehensive guide to solving linear equations",
-      "url": "https://oer.example.com/resources/resource123",
-      "subject": "mathematics",
-      "grade_level": "8-9",
-      "license": "CC-BY"
-    }
-  ],
-  "timestamp": "2025-06-07T10:36:12.123456"
-}
-```
-
-#### Real-Time Personalized Tutoring
-
-##### `schedule_tutoring_session`
-
-Schedule a session with a real-time personalized tutoring platform.
-
-**Request:**
-```json
-{
-  "platform_url": "https://tutoring.example.com/api",
-  "client_id": "your-client-id",
-  "client_secret": "your-client-secret",
-  "student_id": "student123",
-  "subject": "mathematics",
-  "datetime_str": "2025-06-10T15:00:00Z"
-}
-```
-
-**Response:**
-```json
-{
-  "success": true,
-  "session_id": "session789",
-  "tutor": {
-    "id": "tutor456",
-    "name": "Dr. Jane Smith",
-    "rating": 4.9,
-    "specialization": "mathematics"
-  },
-  "datetime": "2025-06-10T15:00:00Z",
-  "join_url": "https://tutoring.example.com/session/session789",
-  "timestamp": "2025-06-07T10:37:45.123456"
-}
-```
-
-## Resources API
-
-Resources represent data that can be fetched by MCP clients. Each resource is accessed via:
-
-```
-GET /resources?uri={resource_uri}
-Accept: application/json
-```
-
-### Available Resources
-
-#### `concept-graph://`
-
-Retrieves the full knowledge concept graph.
-
-#### `learning-path://{student_id}`
-
-Retrieves the personalized learning path for a student.
-
-#### `curriculum-standards://{country_code}`
-
-Retrieves curriculum standards for a specific country.
-
-#### `student-dashboard://{student_id}`
-
-Retrieves dashboard data for a specific student.
-
-## Error Handling
-
-API errors follow a standard format:
-
-```json
-{
-  "error": {
-    "code": "error_code",
-    "message": "Human-readable error message",
-    "details": {}
-  }
-}
-```
-
-Common error codes:
-- `invalid_request`: The request was malformed
-- `authentication_error`: Authentication failed
-- `not_found`: The requested resource does not exist
-- `server_error`: Internal server error
-
-## Rate Limiting
-
-Production deployments implement rate limiting to prevent abuse. Clients should monitor the following headers:
-
-- `X-RateLimit-Limit`: Maximum requests per hour
-- `X-RateLimit-Remaining`: Remaining requests for the current hour
-- `X-RateLimit-Reset`: Timestamp when the limit will reset
-
-## SDK
-
-For easier integration, we provide client SDKs in multiple languages:
-
-- Python: `pip install tutorx-client`
-- JavaScript: `npm install tutorx-client`
-
-Example usage (Python):
-
-```python
-from tutorx_client import TutorXClient
-
-client = TutorXClient("http://localhost:8000", api_key="your-api-key")
-
-# Call a tool
-result = client.assess_skill("student123", "math_algebra_basics")
-print(result["skill_level"])
-
-# Access a resource
-concept_graph = client.get_concept_graph()
-```
-
-## Webhooks
-
-For real-time updates, you can register webhook endpoints:
-
-```
-POST /webhooks/register
-Content-Type: application/json
-Authorization: Bearer your-api-key
-
-{
-  "url": "https://your-app.example.com/webhook",
-  "events": ["assessment.completed", "badge.awarded"],
-  "secret": "your-webhook-secret"
-}
-```
-
-## Support
-
-For API support, contact us at [email protected]

docs/prd.md

@@ -51,7 +51,6 @@ To provide an adaptive, multi-modal, and collaborative AI tutoring platform acce
 - **Feedback System**
     - Contextual error analysis and suggestions
     - Multimodal feedback (text, audio, visual)
-    - Emotional state recognition (via webcam/EEG)
 
 ## 3.2 Advanced Features
 
@@ -74,8 +73,6 @@ To provide an adaptive, multi-modal, and collaborative AI tutoring platform acce
 - **Accessibility**
     - Screen reader compatibility
     - Text-to-speech and adjustable interface
-- **Gamification**
-    - Badges, leaderboards, token-based rewards
 
 ---
 
@@ -85,18 +82,7 @@ To provide an adaptive, multi-modal, and collaborative AI tutoring platform acce
 - **Gradio Interface:** User-friendly, customizable, and accessible
 - **Microservices Architecture:** Modular design for scalability
 - **Real-Time Data Processing:** Asynchronous task queues and caching
-- **Cloud Deployment:** Browser-based access with no local setup
-- **Integration:** Supports external APIs, LMS, and educational tools
-
----
-
-## 5. Non-Functional Requirements
-
-- **Performance:** Supports 100+ concurrent users with <1s response time for core features
-- **Security:** End-to-end encryption, role-based access control
-- **Privacy:** Compliant with GDPR, COPPA, and FERPA
-- **Scalability:** Horizontally scalable to support large institutions
-- **Accessibility:** WCAG 2.1 AA compliant
+- **Local Access:** Browser-based access from local machine
 
 ---
 
@@ -115,7 +101,7 @@ To provide an adaptive, multi-modal, and collaborative AI tutoring platform acce
 1. **Phase 1:** Core adaptive learning engine and MCP integration
 2. **Phase 2:** Multi-modal interaction and collaborative tools
 3. **Phase 3:** Advanced features (engagement monitor, lesson authoring)
-4. **Phase 4:** Deployment, analytics, and gamification
+4. **Phase 4:** Analytics and performance monitoring
 
 ---
 

main.py

@@ -18,11 +18,6 @@ from utils.assessment import (
     generate_performance_analytics,
     detect_plagiarism
 )
-from utils.integrations import (
-    LMSIntegration,
-    OERIntegration,
-    RTPTIntegration
-)
 
 # Create the TutorX MCP server
 mcp = FastMCP("TutorX")
@@ -581,124 +576,9 @@ def check_submission_originality(submission: str, reference_sources: List[str])
         reference_sources: List of reference texts to check against
         
     Returns:
-        Originality analysis    """
-    return detect_plagiarism(submission, reference_sources)
-
-# ------------------ External Integrations ------------------
-
-@mcp.tool()
-def lms_sync_grades(lms_type: str, api_url: str, api_key: str, 
-                  course_id: str, assignment_id: str, 
-                  grades: List[Dict[str, Any]]) -> Dict[str, Any]:
-    """
-    Sync grades with a Learning Management System
-    
-    Args:
-        lms_type: Type of LMS ('canvas', 'moodle', 'blackboard')
-        api_url: URL for the LMS API
-        api_key: API key for authentication
-        course_id: ID of the course
-        assignment_id: ID of the assignment
-        grades: List of grade data to sync
-        
-    Returns:
-        Status of the sync operation
+        Originality analysis
     """
-    try:
-        lms = LMSIntegration(lms_type, api_url, api_key)
-        success = lms.sync_grades(course_id, assignment_id, grades)
-        return {
-            "success": success,
-            "timestamp": datetime.now().isoformat(),
-            "message": "Grades successfully synced" if success else "Failed to sync grades"
-        }
-    except Exception as e:
-        return {
-            "success": False,
-            "error": str(e),
-            "timestamp": datetime.now().isoformat()
-        }
-
-@mcp.tool()
-def oer_search(repository_url: str, query: str, 
-              subject: Optional[str] = None, grade_level: Optional[str] = None,
-              api_key: Optional[str] = None) -> Dict[str, Any]:
-    """
-    Search for educational resources in OER repositories
-    
-    Args:
-        repository_url: URL of the OER repository
-        query: Search query
-        subject: Optional subject filter
-        grade_level: Optional grade level filter
-        api_key: Optional API key if required
-        
-    Returns:
-        List of matching resources
-    """
-    try:
-        oer = OERIntegration(repository_url, api_key)
-        results = oer.search_resources(query, subject, grade_level)
-        return {
-            "success": True,
-            "count": len(results),
-            "results": results,
-            "timestamp": datetime.now().isoformat()
-        }
-    except Exception as e:
-        return {
-            "success": False,
-            "error": str(e),
-            "timestamp": datetime.now().isoformat()
-        }
-
-@mcp.tool()
-def schedule_tutoring_session(platform_url: str, client_id: str, client_secret: str,
-                            student_id: str, subject: str, datetime_str: str) -> Dict[str, Any]:
-    """
-    Schedule a session with a real-time personalized tutoring platform
-    
-    Args:
-        platform_url: URL of the tutoring platform
-        client_id: OAuth client ID
-        client_secret: OAuth client secret
-        student_id: ID of the student
-        subject: Subject for tutoring
-        datetime_str: ISO format datetime for the session
-        
-    Returns:
-        Session details
-    """
-    try:
-        # Find an available tutor
-        rtpt = RTPTIntegration(platform_url, client_id, client_secret)
-        tutors = rtpt.get_available_tutors(subject, "intermediate")
-        
-        if not tutors:
-            return {
-                "success": False,
-                "message": "No tutors available for this subject",
-                "timestamp": datetime.now().isoformat()
-            }
-        
-        # Schedule with first available tutor
-        tutor_id = tutors[0]["id"]
-        session = rtpt.schedule_session(student_id, tutor_id, subject, datetime_str)
-        
-        return {
-            "success": True,
-            "session_id": session.get("id"),
-            "tutor": session.get("tutor"),
-            "datetime": session.get("datetime"),
-            "join_url": session.get("join_url"),
-            "timestamp": datetime.now().isoformat()
-        }
-    except Exception as e:
-        return {
-            "success": False,
-            "error": str(e),
-            "timestamp": datetime.now().isoformat()
-        }
+    return detect_plagiarism(submission, reference_sources)
 
 if __name__ == "__main__":
     mcp.run()

utils/integrations.py

@@ -1,251 +0,0 @@
-"""
-Integration utilities for connecting TutorX-MCP with external educational systems
-"""
-
-import requests
-import json
-import os
-from typing import Dict, Any, List, Optional
-import logging
-
-logger = logging.getLogger(__name__)
-
-class LMSIntegration:
-    """Integration with Learning Management Systems (Canvas, Moodle, etc.)"""
-    
-    def __init__(self, lms_type: str, api_url: str, api_key: str):
-        """
-        Initialize LMS integration
-        
-        Args:
-            lms_type: Type of LMS ('canvas', 'moodle', 'blackboard', etc.)
-            api_url: Base URL for LMS API
-            api_key: API key or token for authentication
-        """
-        self.lms_type = lms_type.lower()
-        self.api_url = api_url.rstrip('/')
-        self.api_key = api_key
-        
-    def get_courses(self) -> List[Dict[str, Any]]:
-        """Get list of courses from LMS"""
-        if self.lms_type == 'canvas':
-            return self._canvas_get_courses()
-        elif self.lms_type == 'moodle':
-            return self._moodle_get_courses()
-        else:
-            raise ValueError(f"Unsupported LMS type: {self.lms_type}")
-            
-    def _canvas_get_courses(self) -> List[Dict[str, Any]]:
-        """Get courses from Canvas LMS"""
-        headers = {"Authorization": f"Bearer {self.api_key}"}
-        response = requests.get(f"{self.api_url}/courses", headers=headers)
-        response.raise_for_status()
-        return response.json()
-        
-    def _moodle_get_courses(self) -> List[Dict[str, Any]]:
-        """Get courses from Moodle"""
-        params = {
-            "wstoken": self.api_key,
-            "wsfunction": "core_course_get_courses",
-            "moodlewsrestformat": "json"
-        }
-        response = requests.get(f"{self.api_url}/webservice/rest/server.php", params=params)
-        response.raise_for_status()
-        return response.json()
-        
-    def sync_grades(self, course_id: str, assignment_id: str, grades: List[Dict[str, Any]]) -> bool:
-        """
-        Sync grades to LMS
-        
-        Args:
-            course_id: ID of the course
-            assignment_id: ID of the assignment
-            grades: List of grade data to sync
-            
-        Returns:
-            Success status
-        """
-        try:
-            if self.lms_type == 'canvas':
-                return self._canvas_sync_grades(course_id, assignment_id, grades)
-            elif self.lms_type == 'moodle':
-                return self._moodle_sync_grades(course_id, assignment_id, grades)
-            else:
-                raise ValueError(f"Unsupported LMS type: {self.lms_type}")
-        except Exception as e:
-            logger.error(f"Error syncing grades: {e}")
-            return False
-            
-    def _canvas_sync_grades(self, course_id: str, assignment_id: str, grades: List[Dict[str, Any]]) -> bool:
-        """Sync grades to Canvas LMS"""
-        headers = {"Authorization": f"Bearer {self.api_key}"}
-        
-        for grade in grades:
-            data = {
-                "submission": {
-                    "posted_grade": grade["score"]
-                }
-            }
-            
-            url = f"{self.api_url}/courses/{course_id}/assignments/{assignment_id}/submissions/{grade['student_id']}"
-            response = requests.put(url, json=data, headers=headers)
-            
-            if response.status_code != 200:
-                logger.error(f"Failed to sync grade for student {grade['student_id']}: {response.text}")
-                return False
-                
-        return True
-        
-    def _moodle_sync_grades(self, course_id: str, assignment_id: str, grades: List[Dict[str, Any]]) -> bool:
-        """Sync grades to Moodle"""
-        # Implementation specific to Moodle's API
-        # This would use the Moodle grade update API
-        return True  # Placeholder
-        
-class OERIntegration:
-    """Integration with Open Educational Resources repositories"""
-    
-    def __init__(self, repository_url: str, api_key: Optional[str] = None):
-        """
-        Initialize OER repository integration
-        
-        Args:
-            repository_url: Base URL for OER repository API
-            api_key: Optional API key if required by the repository
-        """
-        self.repository_url = repository_url.rstrip('/')
-        self.api_key = api_key
-        
-    def search_resources(self, query: str, subject: Optional[str] = None, 
-                        grade_level: Optional[str] = None) -> List[Dict[str, Any]]:
-        """
-        Search for educational resources
-        
-        Args:
-            query: Search query
-            subject: Optional subject filter
-            grade_level: Optional grade level filter
-            
-        Returns:
-            List of matching resources
-        """
-        params = {"q": query}
-        
-        if subject:
-            params["subject"] = subject
-            
-        if grade_level:
-            params["grade"] = grade_level
-            
-        headers = {}
-        if self.api_key:
-            headers["Authorization"] = f"Bearer {self.api_key}"
-            
-        response = requests.get(f"{self.repository_url}/search", params=params, headers=headers)
-        response.raise_for_status()
-        
-        return response.json().get("results", [])
-        
-    def get_resource(self, resource_id: str) -> Dict[str, Any]:
-        """
-        Get details for a specific resource
-        
-        Args:
-            resource_id: ID of the resource to fetch
-            
-        Returns:
-            Resource details
-        """
-        headers = {}
-        if self.api_key:
-            headers["Authorization"] = f"Bearer {self.api_key}"
-            
-        response = requests.get(f"{self.repository_url}/resources/{resource_id}", headers=headers)
-        response.raise_for_status()
-        
-        return response.json()
-        
-
-class RTPTIntegration:
-    """Integration with real-time personalized tutoring platforms"""
-    
-    def __init__(self, platform_url: str, client_id: str, client_secret: str):
-        """
-        Initialize RTPT integration
-        
-        Args:
-            platform_url: Base URL for RTPT platform API
-            client_id: OAuth client ID
-            client_secret: OAuth client secret
-        """
-        self.platform_url = platform_url.rstrip('/')
-        self.client_id = client_id
-        self.client_secret = client_secret
-        self._access_token = None
-        
-    def _get_access_token(self) -> str:
-        """Get OAuth access token"""
-        if self._access_token:
-            return self._access_token
-            
-        data = {
-            "grant_type": "client_credentials",
-            "client_id": self.client_id,
-            "client_secret": self.client_secret
-        }
-        
-        response = requests.post(f"{self.platform_url}/oauth/token", data=data)
-        response.raise_for_status()
-        
-        token_data = response.json()
-        self._access_token = token_data["access_token"]
-        return self._access_token
-        
-    def get_available_tutors(self, subject: str, level: str) -> List[Dict[str, Any]]:
-        """
-        Get available tutors for a subject and level
-        
-        Args:
-            subject: Academic subject
-            level: Academic level
-            
-        Returns:
-            List of available tutors
-        """
-        headers = {"Authorization": f"Bearer {self._get_access_token()}"}
-        params = {
-            "subject": subject,
-            "level": level
-        }
-        
-        response = requests.get(f"{self.platform_url}/tutors/available", params=params, headers=headers)
-        response.raise_for_status()
-        
-        return response.json()
-        
-    def schedule_session(self, student_id: str, tutor_id: str, 
-                        subject: str, datetime_str: str) -> Dict[str, Any]:
-        """
-        Schedule a tutoring session
-        
-        Args:
-            student_id: ID of the student
-            tutor_id: ID of the tutor
-            subject: Subject for tutoring
-            datetime_str: ISO format datetime for the session
-            
-        Returns:
-            Session details
-        """
-        headers = {"Authorization": f"Bearer {self._get_access_token()}"}
-        data = {
-            "student_id": student_id,
-            "tutor_id": tutor_id,
-            "subject": subject,
-            "datetime": datetime_str
-        }
-        
-        response = requests.post(f"{self.platform_url}/sessions", json=data, headers=headers)
-        response.raise_for_status()
-        
-        return response.json()