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Add comprehensive roadmap for implementing Jinja2 template-based configuration with Human-in-the-Loop confirmations. Key features: - Three-step HITL workflow (Template → Parameters → Execute) - 70-80% token savings for multi-device configurations - Enhanced safety through human review at each step - Template reusability across projects Implementation plan: - Phase 1: Core MVP (3-5 days) - Phase 2: UX Enhancement (2-3 days) - Phase 3: Template Library (2-3 days) - Phase 4: Advanced Features (3-4 days)
885 lines
31 KiB
Markdown
885 lines
31 KiB
Markdown
# Template-Based Configuration with HITL - Future Roadmap
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**Status:** 💡 Proposed
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**Target Version:** Next Release
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**Last Updated:** 2026-03-20
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## Overview
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This document outlines the plan for implementing a **Jinja2-based template system with Human-in-the-Loop (HITL) confirmations** for network device configuration in GNS3 AI Copilot.
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### Motivation
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The current implementation requires AI to generate complete configuration commands for every device, which:
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- **Consumes excessive tokens:** Each device configuration is generated independently (~150 tokens/device × 10 devices = 1500 tokens)
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- **Lacks user control:** Configurations are executed immediately without human review
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- **No reusability:** Similar configurations must be regenerated from scratch
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- **Higher error risk:** Direct execution without preview or confirmation
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### Proposed Solution
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Implement a **three-step HITL workflow** using Jinja2 templates:
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1. **AI generates template** → Human reviews and confirms
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2. **AI generates parameters** → Human reviews and confirms
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3. **Local rendering and execution** → Results displayed
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**Expected Token Savings:** 70-80% reduction for multi-device configurations
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---
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## Architecture Design
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### Workflow Diagram
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```
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User Request: "Configure OSPF on all routers"
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ Step 1: AI Generates Jinja2 Template │
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│ │
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│ Output: │
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│ { │
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│ "template_content": "router ospf {{ pid }}\n...", │
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│ "description": "OSPF basic configuration", │
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│ "params_schema": { │
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│ "process_id": "int - OSPF process ID", │
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│ "networks": "List[Dict] - network list", │
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│ "area": "str - area ID" │
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│ } │
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│ } │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ 🔵 HITL Checkpoint 1: Template Review │
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│ │
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│ User sees: │
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│ - Template content (Jinja2 syntax) │
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│ - Parameter schema │
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│ - Example rendered output │
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│ │
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│ Options: [✓ Confirm] [✏️ Modify] [❌ Cancel] │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ Step 2: AI Generates Parameters │
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│ │
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│ Output: │
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│ { │
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│ "project_id": "uuid-xxx", │
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│ "device_params": [ │
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│ { │
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│ "device_name": "R1", │
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│ "process_id": 1, │
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│ "networks": [{"ip": "192.168.1.0", "mask": "0.0.0.255"}], │
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│ "area": "0" │
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│ }, │
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│ ... // More devices │
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│ ] │
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│ } │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ 🔵 HITL Checkpoint 2: Parameter Review │
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│ │
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│ User sees: │
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│ - Parameter preview per device │
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│ - Rendered configuration commands │
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│ - Summary of changes │
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│ │
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│ Options: [✓ Execute] [✏️ Modify] [👁️ Preview] [❌ Cancel] │
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└─────────────────────────────────────────────────────────────┘
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↓
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┌─────────────────────────────────────────────────────────────┐
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│ Step 3: Local Rendering & Execution │
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│ │
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│ Process: │
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│ 1. Render template with parameters (0 tokens) │
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│ 2. Call existing ExecuteMultipleDeviceConfigCommands │
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│ 3. Return execution results │
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└─────────────────────────────────────────────────────────────┘
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```
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### Token Consumption Comparison
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#### Scenario: Configure OSPF on 10 Cisco Routers
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| Approach | Token Usage | Breakdown |
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|----------|-------------|-----------|
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| **Current Method** | **~1500 tokens** | 150 tokens/device × 10 devices |
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| **Template Method** | **~400 tokens** | Template: 150 + Parameters: 250 |
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| **Savings** | **73%** | 1100 tokens saved |
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#### Scenario: Configure VLANs on 20 Switches
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| Approach | Token Usage | Breakdown |
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|----------|-------------|-----------|
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| **Current Method** | **~1600 tokens** | 80 tokens/switch × 20 switches |
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| **Template Method** | **~400 tokens** | Template: 100 + Parameters: 300 |
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| **Savings** | **75%** | 1200 tokens saved |
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---
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## Core Components
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### 1. New LangChain Tools
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#### Tool 1: `GenerateConfigTemplate`
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```python
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class GenerateConfigTemplate(BaseTool):
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"""
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Generates Jinja2 configuration templates for human review.
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This tool ONLY generates templates. No configuration is executed.
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Input:
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{
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"project_id": "project-uuid",
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"device_type": "cisco_ios | huawei_vrp | ...",
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"requirement": "user requirement description"
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}
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Output:
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{
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"template_content": "jinja2 template string",
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"template_description": "human-readable description",
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"params_schema": {
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"param_name": "type - description"
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},
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"rendered_example": "example output with sample data"
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}
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"""
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name = "generate_config_template"
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description = "Generate Jinja2 templates for network device configuration"
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```
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#### Tool 2: `GenerateTemplateParams`
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```python
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class GenerateTemplateParams(BaseTool):
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"""
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Generates parameter data for confirmed templates.
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Uses the template that was confirmed in the previous step.
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Input:
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{
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"project_id": "project-uuid",
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"confirmed_template": { ... }, # From previous step
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"topology_context": { ... }
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}
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Output:
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{
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"project_id": "project-uuid",
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"device_params": [
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{
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"device_name": "R1",
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"param1": "value1",
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"param2": "value2"
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}
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],
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"preview": {
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"R1": ["config", "commands"],
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"R2": ["config", "commands"]
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}
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}
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"""
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name = "generate_template_params"
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description = "Generate parameters for confirmed configuration templates"
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```
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#### Tool 3: `ExecuteTemplateBasedConfig`
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```python
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class ExecuteTemplateBasedConfig(BaseTool):
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"""
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Executes configuration using confirmed template and parameters.
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This tool ONLY executes. No generation happens here.
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Input:
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{
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"project_id": "project-uuid",
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"confirmed_template": "jinja2 template",
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"confirmed_params": [ ... ]
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}
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Output:
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{
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"results": [
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{
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"device_name": "R1",
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"status": "success",
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"config_commands": ["command1", "command2"],
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"output": "execution output"
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}
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]
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}
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"""
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name = "execute_template_based_config"
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description = "Execute configuration from templates (0 token cost)"
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```
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### 2. Template Renderer Module
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```python
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# gns3server/agent/gns3_copilot/config_templates/template_renderer.py
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from jinja2 import Environment, BaseLoader
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class ConfigTemplateRenderer:
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"""
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Renders Jinja2 templates for network device configuration.
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Key features:
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- Preserves configuration indentation
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- Supports conditionals and loops
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- No token consumption (local execution)
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"""
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def __init__(self):
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self.env = Environment(
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loader=BaseLoader(),
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trim_l_blocks=True, # Remove left whitespace
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trim_r_blocks=True, # Remove right whitespace
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lstrip_blocks=True, # Strip leading whitespace
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keep_trailing_newline=False,
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autoescape=False # Don't escape config commands
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)
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def render(self, template: str, params: dict) -> list[str]:
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"""
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Render template and return configuration commands.
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Args:
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template: Jinja2 template string
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params: Template parameters
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Returns:
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List of configuration commands (one per line)
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"""
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tmpl = self.env.from_string(template)
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rendered = tmpl.render(**params)
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# Split into commands and filter empty lines
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commands = [
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line.strip()
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for line in rendered.split('\n')
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if line.strip()
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]
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return commands
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```
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### 3. Session State Management
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```python
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# gns3server/agent/gns3_copilot/template_session_manager.py
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class TemplateSessionManager:
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"""
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Manages template state across HITL workflow.
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Stores:
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- Confirmed templates (awaiting parameter generation)
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- Template metadata (description, schema)
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- Session history
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"""
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def __init__(self):
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self.sessions = {} # project_id -> session_data
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def save_template(self, project_id: str, template_data: dict):
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"""Save user-confirmed template to session."""
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if project_id not in self.sessions:
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self.sessions[project_id] = {}
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self.sessions[project_id]['confirmed_template'] = template_data
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self.sessions[project_id]['updated_at'] = datetime.now()
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def get_template(self, project_id: str) -> dict | None:
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"""Retrieve confirmed template for session."""
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return self.sessions.get(project_id, {}).get('confirmed_template')
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def clear_session(self, project_id: str):
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"""Clear session data after execution or cancellation."""
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if project_id in self.sessions:
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del self.sessions[project_id]
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```
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### 4. Updated System Prompt
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```python
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# gns3server/agent/gns3_copilot/prompts/template_workflow_prompt.py
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TEMPLATE_WORKFLOW_GUIDE = """
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# Configuration Generation with HITL Workflow
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When users request device configuration, follow this THREE-STEP process:
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## Step 1: Generate Configuration Template
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Use `generate_config_template` to create a Jinja2 template.
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**IMPORTANT:** Wait for user confirmation before proceeding.
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### Template Format Example
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```jinja2
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router ospf {{ process_id }}
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{% for network in networks %}
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network {{ network.ip }} {{ network.mask }} area {{ area }}
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{% endfor %}
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```
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### Parameter Schema Example
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```json
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{
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"process_id": "int - OSPF process ID",
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"networks": "List[Dict] - Each dict has 'ip' and 'mask' keys",
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"area": "str - OSPF area ID"
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}
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```
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## Step 2: Generate Parameters
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After user confirms the template, use `generate_template_params` to generate device-specific parameters.
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**IMPORTANT:** Wait for user confirmation before executing.
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## Step 3: Execute Configuration
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After user confirms parameters, use `execute_template_based_config` to execute.
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## Critical Rules
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- ⚠️ MUST wait for confirmation after each step
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- ⚠️ DO NOT skip confirmation steps
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- ✅ Proceed to next step only after user confirmation
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- ❌ Stop if user cancels at any point
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## Benefits
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- **70-80% token savings** for multi-device configurations
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- **Human review** at every critical step
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- **Template reusability** across similar configurations
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- **Preview capabilities** before execution
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"""
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```
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### 5. LangGraph State Machine
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```python
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# gns3server/agent/gns3_copilot/workflows/template_config_graph.py
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from langgraph.graph import StateGraph, END
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from typing import TypedDict, Literal
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class TemplateConfigState(TypedDict):
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"""State for template-based configuration workflow."""
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messages: list[BaseMessage]
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current_step: Literal[
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"idle",
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"generating_template",
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"template_review",
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"generating_params",
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"params_review",
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"executing",
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"completed",
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"cancelled"
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]
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project_id: str
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confirmed_template: dict | None
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confirmed_params: dict | None
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user_confirmation: str | None
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execution_results: dict | None
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def should_generate_params(state: TemplateConfigState) -> str:
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"""Check if template was confirmed."""
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if state.get("user_confirmation") == "template_confirmed":
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return "generate_params"
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return "end"
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def should_execute(state: TemplateConfigState) -> str:
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"""Check if params were confirmed."""
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if state.get("user_confirmation") == "params_confirmed":
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return "execute"
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return "end"
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# Build workflow graph
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workflow = StateGraph(TemplateConfigState)
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# Add nodes
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workflow.add_node("generate_template", generate_template_node)
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workflow.add_node("generate_params", generate_params_node)
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workflow.add_node("execute", execute_config_node)
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# Add conditional edges
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workflow.add_conditional_edges(
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"generate_template",
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should_generate_params,
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{
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"generate_params": "generate_params",
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"end": END
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}
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)
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workflow.add_conditional_edges(
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"generate_params",
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should_execute,
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{
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"execute": "execute",
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"end": END
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}
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)
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workflow.add_edge("execute", END)
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```
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---
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## UI/UX Design
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### Template Review Interface
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```
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┌────────────────────────────────────────────────────────────────┐
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│ 📋 AI-Generated Configuration Template │
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│ ────────────────────────────────────────────────────────────── │
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│ │
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│ Device Type: Cisco IOS │
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│ Description: OSPF basic configuration │
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│ │
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│ Template Content: │
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│ ┌─────────────────────────────────────────────────────────┐ │
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│ │ router ospf {{ process_id }} │ │
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│ │ {% for network in networks %} │ │
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│ │ network {{ network.ip }} {{ network.mask }} area {{ area }} │ │
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│ │ {% endfor %} │ │
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│ └─────────────────────────────────────────────────────────┘ │
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│ │
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│ Parameter Schema: │
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│ • process_id: int - OSPF process ID │
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│ • networks: List[Dict] - Network configurations │
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│ - ip: str - Network address │
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│ - mask: str - Wildcard mask │
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│ • area: str - OSPF area ID │
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│ │
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│ Example Output: │
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│ ┌─────────────────────────────────────────────────────────┐ │
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│ │ router ospf 1 │ │
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│ │ network 192.168.1.0 0.0.0.255 area 0 │ │
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│ │ network 10.0.0.0 0.255.255.255 area 0 │ │
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│ └─────────────────────────────────────────────────────────┘ │
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│ │
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│ [✓ Confirm & Continue] [✏️ Request Modification] [❌ Cancel] │
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└────────────────────────────────────────────────────────────────┘
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```
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### Parameter Review Interface
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```
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┌────────────────────────────────────────────────────────────────┐
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│ 📊 Configuration Parameters Preview │
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│ ────────────────────────────────────────────────────────────── │
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│ │
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│ Total Devices: 3 │
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│ Template: OSPF basic configuration │
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│ │
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│ ┌─────────────────────────────────────────────────────────┐ │
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│ │ Device: R1 │ │
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│ │ ─────────────────────────────────────────────────────── │ │
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│ │ • process_id: 1 │ │
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│ │ • area: 0 │ │
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│ │ • networks: │ │
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│ │ - 192.168.1.0/24 → area 0 │ │
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│ │ - 10.0.0.0/8 → area 0 │ │
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│ │ │ │
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│ │ Rendered Configuration: │ │
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│ │ router ospf 1 │ │
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│ │ network 192.168.1.0 0.0.0.255 area 0 │ │
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│ │ network 10.0.0.0 0.255.255.255 area 0 │ │
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│ └─────────────────────────────────────────────────────────┘ │
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│ │
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│ ┌─────────────────────────────────────────────────────────┐ │
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│ │ Device: R2 │ │
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│ │ ... │ │
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│ └─────────────────────────────────────────────────────────┘ │
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│ │
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│ [✓ Execute Configuration] [✏️ Modify Parameters] │
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│ [👁️ Preview All] [❌ Cancel] │
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└────────────────────────────────────────────────────────────────┘
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```
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---
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## Implementation Phases
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### Phase 1: Core MVP (Minimum Viable Product)
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**Status:** 📋 Planned
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**Estimated Effort:** 3-5 days
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**Tasks:**
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1. ✅ Create `ConfigTemplateRenderer` class
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2. ✅ Create `TemplateSessionManager` class
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3. ✅ Implement `GenerateConfigTemplate` tool
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4. ✅ Implement `GenerateTemplateParams` tool
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5. ✅ Implement `ExecuteTemplateBasedConfig` tool
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6. ✅ Create `config_templates/` package structure
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7. ✅ Update system prompts with template workflow
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8. ✅ Basic error handling and validation
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**Deliverables:**
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- Working three-step HITL workflow
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- Template rendering for Cisco IOS devices
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- Basic CLI/API responses
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- Unit tests for core components
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### Phase 2: Enhanced User Experience
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**Status:** 💡 Proposed
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**Estimated Effort:** 2-3 days
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**Tasks:**
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1. Enhanced UI for template/parameter review
|
||
2. Configuration preview functionality
|
||
3. Template modification and retry logic
|
||
4. Batch operation support
|
||
5. Progress indicators for multi-device configs
|
||
6. Improved error messages and recovery
|
||
|
||
**Deliverables:**
|
||
- User-friendly review interfaces
|
||
- Preview-before-execute capability
|
||
- Better error handling
|
||
- User documentation
|
||
|
||
### Phase 3: Template Library & Caching
|
||
|
||
**Status:** 💡 Proposed
|
||
**Estimated Effort:** 2-3 days
|
||
|
||
**Tasks:**
|
||
1. Template persistence and storage
|
||
2. Pre-built template library (OSPF, BGP, VLAN, NAT, etc.)
|
||
3. Template versioning and history
|
||
4. Template sharing between projects
|
||
5. Template favorites and quick access
|
||
6. Template validation and testing framework
|
||
|
||
**Deliverables:**
|
||
- 20+ pre-built templates
|
||
- Template management API
|
||
- Template marketplace foundation
|
||
|
||
### Phase 4: Advanced Features
|
||
|
||
**Status:** 💡 Proposed
|
||
**Estimated Effort:** 3-4 days
|
||
|
||
**Tasks:**
|
||
1. Multi-vendor template support (Huawei, H3C, Juniper)
|
||
2. Template composition (combine multiple templates)
|
||
3. Configuration diff and comparison
|
||
4. Rollback and undo functionality
|
||
5. Template analytics and usage statistics
|
||
6. AI-assisted template optimization
|
||
|
||
**Deliverables:**
|
||
- Multi-vendor template ecosystem
|
||
- Advanced configuration management
|
||
- Analytics dashboard
|
||
|
||
---
|
||
|
||
## Technical Considerations
|
||
|
||
### Jinja2 Configuration
|
||
|
||
```python
|
||
# Network device configurations require special handling
|
||
Environment(
|
||
# Preserve indentation for config hierarchy
|
||
trim_l_blocks=True, # Remove block left whitespace
|
||
trim_r_blocks=True, # Remove block right whitespace
|
||
lstrip_blocks=True, # Strip leading whitespace from lines
|
||
|
||
# Don't escape configuration commands
|
||
autoescape=False,
|
||
|
||
# Custom filters for network operations
|
||
filters={
|
||
'to_cidr': lambda ip, mask: f"{ip}/{mask}",
|
||
'ip_network': lambda ip: ipaddr.IPv4Network(ip),
|
||
# Add more as needed
|
||
}
|
||
)
|
||
```
|
||
|
||
### Security Considerations
|
||
|
||
1. **Template Validation:**
|
||
- Validate template syntax before rendering
|
||
- Check for dangerous operations (file I/O, system calls)
|
||
- Sandbox Jinja2 environment
|
||
|
||
2. **Parameter Validation:**
|
||
- Type checking for all parameters
|
||
- Range validation (IP addresses, VLAN IDs, etc.)
|
||
- Device-specific validation
|
||
|
||
3. **Command Filtering:**
|
||
- Apply existing `command_filter.py` checks
|
||
- Integrate with forbidden commands list
|
||
- Maintain audit logging
|
||
|
||
### Error Handling Strategy
|
||
|
||
```python
|
||
class TemplateExecutionError(Exception):
|
||
"""Base class for template execution errors."""
|
||
pass
|
||
|
||
class TemplateSyntaxError(TemplateExecutionError):
|
||
"""Template has invalid Jinja2 syntax."""
|
||
pass
|
||
|
||
class ParameterValidationError(TemplateExecutionError):
|
||
"""Parameters don't match template schema."""
|
||
pass
|
||
|
||
class RenderingError(TemplateExecutionError):
|
||
"""Error during template rendering."""
|
||
pass
|
||
|
||
# Error response format
|
||
{
|
||
"error": "error_type",
|
||
"message": "Human-readable error message",
|
||
"details": {
|
||
"template": "...",
|
||
"params": {...},
|
||
"traceback": "..." # Only in development
|
||
},
|
||
"suggestions": [
|
||
"Check template syntax",
|
||
"Verify parameter types",
|
||
"Review device compatibility"
|
||
]
|
||
}
|
||
```
|
||
|
||
---
|
||
|
||
## Testing Strategy
|
||
|
||
### Unit Tests
|
||
|
||
```python
|
||
# tests/test_template_renderer.py
|
||
def test_simple_template_rendering():
|
||
template = "interface {{ name }}\n ip address {{ ip }} {{ mask }}"
|
||
params = {"name": "GigabitEthernet0/0", "ip": "192.168.1.1", "mask": "255.255.255.0"}
|
||
renderer = ConfigTemplateRenderer()
|
||
result = renderer.render(template, params)
|
||
assert result == [
|
||
"interface GigabitEthernet0/0",
|
||
"ip address 192.168.1.1 255.255.255.0"
|
||
]
|
||
|
||
def test_loop_template_rendering():
|
||
template = "{% for n in networks %}network {{ n }}\n{% endfor %}"
|
||
params = {"networks": ["192.168.1.0", "192.168.2.0"]}
|
||
renderer = ConfigTemplateRenderer()
|
||
result = renderer.render(template, params)
|
||
assert result == ["network 192.168.1.0", "network 192.168.2.0"]
|
||
|
||
def test_conditional_template_rendering():
|
||
template = "{% if ospf %}router ospf 1\n{% endif %}exit"
|
||
params = {"ospf": True}
|
||
renderer = ConfigTemplateRenderer()
|
||
result = renderer.render(template, params)
|
||
assert "router ospf 1" in result
|
||
```
|
||
|
||
### Integration Tests
|
||
|
||
```python
|
||
# tests/test_template_workflow_integration.py
|
||
def test_full_template_workflow():
|
||
"""Test complete HITL workflow from template to execution."""
|
||
# Step 1: Generate template
|
||
template_tool = GenerateConfigTemplate()
|
||
template_result = template_tool._run({
|
||
"project_id": test_project_id,
|
||
"device_type": "cisco_ios",
|
||
"requirement": "Configure OSPF"
|
||
})
|
||
assert "template_content" in template_result
|
||
|
||
# Step 2: Generate params
|
||
params_tool = GenerateTemplateParams()
|
||
params_result = params_tool._run({
|
||
"project_id": test_project_id,
|
||
"confirmed_template": template_result
|
||
})
|
||
assert "device_params" in params_result
|
||
|
||
# Step 3: Execute
|
||
execute_tool = ExecuteTemplateBasedConfig()
|
||
exec_result = execute_tool._run({
|
||
"project_id": test_project_id,
|
||
"confirmed_template": template_result["template_content"],
|
||
"confirmed_params": params_result["device_params"]
|
||
})
|
||
assert "results" in exec_result
|
||
```
|
||
|
||
### End-to-End Tests
|
||
|
||
```python
|
||
# tests/test_e2e_template_config.py
|
||
def test_ospf_configuration_10_routers():
|
||
"""Test OSPF configuration on 10 routers."""
|
||
# Setup: Create GNS3 project with 10 routers
|
||
project_id = create_test_project(device_count=10)
|
||
|
||
# Execute workflow
|
||
result = run_template_workflow(
|
||
project_id=project_id,
|
||
requirement="Configure OSPF on all routers"
|
||
)
|
||
|
||
# Verify
|
||
assert result["status"] == "success"
|
||
assert len(result["configured_devices"]) == 10
|
||
assert all(["ospf" in dev["config"] for dev in result["configured_devices"]])
|
||
```
|
||
|
||
---
|
||
|
||
## Success Metrics
|
||
|
||
### Token Savings
|
||
|
||
- **Target:** 70%+ reduction in token usage for multi-device configurations
|
||
- **Measurement:** Compare token usage before/after for same tasks
|
||
|
||
### User Adoption
|
||
|
||
- **Target:** 60%+ of configuration tasks use template workflow
|
||
- **Measurement:** Track tool usage statistics
|
||
|
||
### Error Reduction
|
||
|
||
- **Target:** 50%+ reduction in configuration errors
|
||
- **Measurement:** Compare error rates before/after HITL
|
||
|
||
### User Satisfaction
|
||
|
||
- **Target:** 4.5+ star rating (5-star scale)
|
||
- **Measurement:** Post-task user surveys
|
||
|
||
---
|
||
|
||
## Risks and Mitigations
|
||
|
||
| Risk | Impact | Mitigation |
|
||
|------|--------|------------|
|
||
| AI generates invalid Jinja2 syntax | High | Add template validation, provide syntax feedback |
|
||
| Users find HITL workflow too slow | Medium | Add "quick confirm" option, template reuse |
|
||
| Template reuse causes stale configs | Medium | Template versioning, checksum validation |
|
||
| Multi-vendor complexity | High | Phase 1: Cisco only, Phase 4: expand |
|
||
| Session state management bugs | Medium | Comprehensive testing, state cleanup |
|
||
|
||
---
|
||
|
||
## Open Questions
|
||
|
||
1. **Template Storage:** Should templates be stored per-user or shared globally?
|
||
2. **Template Validation:** How strict should template validation be?
|
||
3. **Backward Compatibility:** Should existing direct-config tools remain available?
|
||
4. **Template Sharing:** Should users be able to share templates in a marketplace?
|
||
5. **Performance:** How to handle template rendering for 100+ devices?
|
||
|
||
---
|
||
|
||
## Dependencies
|
||
|
||
### Required Python Packages
|
||
|
||
```txt
|
||
jinja2>=3.1.0
|
||
langchain>=0.1.0
|
||
langgraph>=0.0.20
|
||
```
|
||
|
||
### Integration Points
|
||
|
||
- `gns3server/agent/gns3_copilot/tools_v2/config_tools_nornir.py` (existing)
|
||
- `gns3server/agent/gns3_copilot/prompts/lab_automation_assistant_prompt.py` (update)
|
||
- `gns3server/agent/gns3_copilot/gns3_client/gns3_topology_reader.py` (existing)
|
||
- `gns3server/agent/gns3_copilot/utils/command_filter.py` (existing)
|
||
|
||
---
|
||
|
||
## Timeline
|
||
|
||
### Sprint 1: Foundation (Week 1-2)
|
||
- Core rendering engine
|
||
- Three LangChain tools
|
||
- Basic session management
|
||
- System prompt updates
|
||
|
||
### Sprint 2: User Experience (Week 3)
|
||
- Review interfaces
|
||
- Preview functionality
|
||
- Error handling
|
||
- Documentation
|
||
|
||
### Sprint 3: Enhancement (Week 4-5)
|
||
- Template library
|
||
- Caching mechanisms
|
||
- Multi-vendor support
|
||
- Testing and QA
|
||
|
||
### Sprint 4: Polish (Week 6)
|
||
- Performance optimization
|
||
- Bug fixes
|
||
- User feedback integration
|
||
- Release preparation
|
||
|
||
---
|
||
|
||
## References
|
||
|
||
- [Jinja2 Documentation](https://jinja.palletsprojects.com/)
|
||
- [LangGraph Documentation](https://langchain-ai.github.io/langgraph/)
|
||
- [Existing Config Tools](../implemented/multi-vendor-device-support.md)
|
||
- [Command Security](../implemented/command-security.md)
|
||
|
||
---
|
||
|
||
## Changelog
|
||
|
||
| Date | Version | Changes |
|
||
|------|---------|---------|
|
||
| 2026-03-20 | 0.1 | Initial roadmap document created |
|
||
|
||
---
|
||
|
||
**Document Status:** 💡 Proposed - Awaiting Implementation
|
||
**Next Review:** After Phase 1 completion
|
||
|
||
---
|
||
|
||
*For questions or feedback about this roadmap, please open an issue or contact the AI Copilot team.*
|