Technical
Technical Service Documentation
Agent Design Service - Technical Implementation

Agent Design Service - Technical Implementation

Agent Design Service (ADS) provides a comprehensive platform for designing, implementing, and deploying intelligent AI agents with enterprise-grade reliability and scalability. This technical documentation covers implementation patterns, APIs, testing frameworks, and integration strategies.

Architecture Overview

Core Components 

  graph TB
    A[Agent Designer] --> B[State Machine Engine]
    B --> C[Code Generator]
    C --> D[Runtime Engine]
    D --> E[Monitoring Service]
    
    F[Knowledge Base] --> B
    G[Template Library] --> C
    H[Testing Framework] --> D
    I[Deployment Service] --> D
    
    subgraph "External Integrations"
        J[CRM Systems]
        K[Databases]
        L[APIs]
        M[Message Queues]
    end
    
    D --> J
    D --> K
    D --> L
    D --> M

Agent Lifecycle Management 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31

// Agent lifecycle states and transitions
enum class AgentState {
    DESIGN,        // Being designed/configured
    TESTING,       // Under testing and validation
    STAGING,       // Deployed to staging environment
    PRODUCTION,    // Live in production
    MAINTENANCE,   // Temporarily disabled for updates
    DEPRECATED,    // Scheduled for removal
    ARCHIVED       // Stored for historical reference
}

// State transition management
@Component
class AgentLifecycleManager {
    
    suspend fun transitionAgent(
        agentId: String, 
        fromState: AgentState, 
        toState: AgentState,
        context: TransitionContext
    ): TransitionResult {
        return when (fromState to toState) {
            AgentState.DESIGN to AgentState.TESTING -> deployToTesting(agentId, context)
            AgentState.TESTING to AgentState.STAGING -> promoteToStaging(agentId, context)
            AgentState.STAGING to AgentState.PRODUCTION -> promoteToProduction(agentId, context)
            AgentState.PRODUCTION to AgentState.MAINTENANCE -> enterMaintenance(agentId, context)
            AgentState.MAINTENANCE to AgentState.PRODUCTION -> exitMaintenance(agentId, context)
            else -> throw InvalidTransitionException(fromState, toState)
        }
    }
}

State Machine Implementation

Finite State Machine Design

The core of Agent Design Service is built on a robust finite state machine that manages conversation flows, business logic, and decision trees.

State Machine Definition Language (SMDL) 

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135

# Example: Customer Service Agent State Machine
agent: customer-service-v2
version: "2.1.0"

states:
  initial:
    type: entry
    actions:
      - initialize_conversation_context
      - load_customer_profile
    transitions:
      - condition: "intent == 'greeting'"
        target: greeting_handler
      - condition: "intent == 'complaint'"
        target: complaint_handler
      - condition: "intent == 'inquiry'"
        target: inquiry_handler
      - default: unknown_intent_handler

  greeting_handler:
    type: processing
    actions:
      - generate_personalized_greeting
      - log_interaction_start
    transitions:
      - condition: "greeting_complete"
        target: await_user_request
    
  complaint_handler:
    type: processing
    actions:
      - categorize_complaint
      - check_escalation_criteria
      - load_resolution_templates
    transitions:
      - condition: "severity >= 'high'"
        target: escalate_to_human
      - condition: "auto_resolvable"
        target: auto_resolve_complaint
      - default: manual_complaint_handling
    
  inquiry_handler:
    type: processing
    actions:
      - classify_inquiry_type
      - search_knowledge_base
      - prepare_response_options
    transitions:
      - condition: "confidence >= 0.8"
        target: provide_direct_answer
      - condition: "requires_data_lookup"
        target: data_lookup_handler
      - default: clarification_needed
    
  escalate_to_human:
    type: processing
    actions:
      - create_support_ticket
      - notify_available_agents
      - prepare_context_handoff
    transitions:
      - condition: "agent_available"
        target: human_handoff
      - condition: "queue_full"
        target: schedule_callback
    
  auto_resolve_complaint:
    type: processing
    actions:
      - apply_resolution_template
      - update_customer_record
      - schedule_follow_up
    transitions:
      - condition: "resolution_accepted"
        target: satisfaction_survey
      - condition: "resolution_rejected"
        target: escalate_to_human
    
  provide_direct_answer:
    type: processing
    actions:
      - format_response_with_sources
      - log_successful_resolution
      - offer_additional_help
    transitions:
      - condition: "follow_up_questions"
        target: await_user_request
      - condition: "conversation_complete"
        target: conversation_end
    
  conversation_end:
    type: terminal
    actions:
      - save_conversation_summary
      - update_customer_satisfaction_metrics
      - cleanup_temporary_resources

# Global configuration
configuration:
  max_conversation_turns: 50
  session_timeout: 30m
  escalation_threshold: 0.3
  confidence_threshold: 0.7
  
  integrations:
    crm_system:
      type: salesforce
      endpoint: "https://api.salesforce.com"
      timeout: 10s
    
    knowledge_base:
      type: elasticsearch
      endpoint: "https://kb.company.com"
      index: "customer_support_v2"
    
    ticketing_system:
      type: jira
      endpoint: "https://company.atlassian.net"
      project: "SUPPORT"

# Event handlers
event_handlers:
  on_state_enter:
    - log_state_transition
    - update_conversation_metrics
    - check_timeout_conditions
  
  on_state_exit:
    - cleanup_state_resources
    - persist_state_data
  
  on_error:
    - log_error_details
    - attempt_error_recovery
    - escalate_if_critical

State Machine Runtime Implementation 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95

@Component
class StateMachineEngine {
    
    private val logger = LoggerFactory.getLogger(StateMachineEngine::class.java)
    
    suspend fun processEvent(
        agentId: String,
        sessionId: String,
        event: ConversationEvent
    ): ProcessingResult {
        
        val session = sessionManager.getSession(sessionId)
            ?: return ProcessingResult.error("Session not found: $sessionId")
        
        val stateMachine = loadStateMachine(agentId)
        val currentState = session.currentState
        
        try {
            // Find applicable transition
            val transition = findApplicableTransition(stateMachine, currentState, event)
                ?: return handleNoTransitionFound(currentState, event)
            
            // Execute exit actions for current state
            executeExitActions(currentState, session, event)
            
            // Perform state transition
            val newState = transition.targetState
            session.currentState = newState
            session.lastTransition = transition
            
            // Execute entry actions for new state
            val actionResults = executeEntryActions(newState, session, event)
            
            // Update session and persist
            session.lastActivity = Instant.now()
            sessionManager.updateSession(session)
            
            // Log state transition
            logStateTransition(agentId, sessionId, currentState, newState, event)
            
            return ProcessingResult.success(
                data = mapOf(
                    "newState" to newState.name,
                    "actionResults" to actionResults,
                    "sessionId" to sessionId
                )
            )
            
        } catch (e: Exception) {
            logger.error("State machine processing failed", e)
            return handleStateMachineError(agentId, sessionId, currentState, event, e)
        }
    }
    
    private suspend fun executeEntryActions(
        state: AgentState,
        session: ConversationSession,
        event: ConversationEvent
    ): List<ActionResult> {
        
        return state.entryActions.map { action ->
            try {
                val result = actionExecutor.execute(action, session, event)
                ActionResult.success(action.name, result)
            } catch (e: Exception) {
                logger.warn("Action execution failed: ${action.name}", e)
                ActionResult.failure(action.name, e.message ?: "Unknown error")
            }
        }
    }
    
    private suspend fun findApplicableTransition(
        stateMachine: StateMachine,
        currentState: AgentState,
        event: ConversationEvent
    ): StateTransition? {
        
        return currentState.transitions.firstOrNull { transition ->
            evaluateTransitionCondition(transition.condition, event)
        } ?: currentState.transitions.find { it.isDefault }
    }
    
    private fun evaluateTransitionCondition(
        condition: String,
        event: ConversationEvent
    ): Boolean {
        return try {
            // Use expression evaluator (e.g., SpEL, MVEL)
            expressionEvaluator.evaluate(condition, event)
        } catch (e: Exception) {
            logger.warn("Condition evaluation failed: $condition", e)
            false
        }
    }
}

Advanced State Machine Features

Hierarchical State Machines 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68

// Support for nested state machines and composite states
class CompositeState(
    override val name: String,
    val subStateMachine: StateMachine,
    override val entryActions: List<Action>,
    override val exitActions: List<Action>
) : AgentState {
    
    suspend fun processEventInSubState(
        event: ConversationEvent,
        session: ConversationSession
    ): ProcessingResult {
        
        // Delegate to sub-state machine
        return subStateMachine.processEvent(event, session)
    }
}

// Example: Multi-step form handling with sub-states
val orderProcessingState = CompositeState(
    name = "order_processing",
    subStateMachine = StateMachine(
        initialState = "collect_shipping_info",
        states = mapOf(
            "collect_shipping_info" to ProcessingState(
                name = "collect_shipping_info",
                entryActions = listOf(
                    DisplayFormAction("shipping_form"),
                    ValidateRequiredFieldsAction()
                ),
                transitions = listOf(
                    StateTransition(
                        condition = "form.shipping.isComplete()",
                        targetState = "collect_payment_info"
                    )
                )
            ),
            "collect_payment_info" to ProcessingState(
                name = "collect_payment_info",
                entryActions = listOf(
                    DisplayFormAction("payment_form"),
                    ValidatePaymentMethodAction()
                ),
                transitions = listOf(
                    StateTransition(
                        condition = "form.payment.isValid()",
                        targetState = "confirm_order"
                    )
                )
            ),
            "confirm_order" to ProcessingState(
                name = "confirm_order",
                entryActions = listOf(
                    DisplayOrderSummaryAction(),
                    RequestConfirmationAction()
                ),
                transitions = listOf(
                    StateTransition(
                        condition = "user.confirmed == true",
                        targetState = "process_payment"
                    )
                )
            )
        )
    ),
    entryActions = listOf(InitializeOrderContextAction()),
    exitActions = listOf(CleanupOrderContextAction())
)

Parallel State Execution 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54

// Support for parallel state execution (orthogonal regions)
class ParallelState(
    override val name: String,
    val regions: List<StateMachine>
) : AgentState {
    
    suspend fun processEvent(
        event: ConversationEvent,
        session: ConversationSession
    ): ProcessingResult {
        
        // Process event in all parallel regions
        val results = regions.map { region ->
            async { region.processEvent(event, session) }
        }.awaitAll()
        
        // Combine results from all regions
        return combineParallelResults(results)
    }
}

// Example: Concurrent processing of user intent and sentiment analysis
val conversationAnalysisState = ParallelState(
    name = "conversation_analysis",
    regions = listOf(
        // Intent analysis region
        StateMachine(
            initialState = "analyze_intent",
            states = mapOf(
                "analyze_intent" to ProcessingState(
                    entryActions = listOf(ClassifyIntentAction())
                )
            )
        ),
        // Sentiment analysis region  
        StateMachine(
            initialState = "analyze_sentiment",
            states = mapOf(
                "analyze_sentiment" to ProcessingState(
                    entryActions = listOf(AnalyzeSentimentAction())
                )
            )
        ),
        // Context extraction region
        StateMachine(
            initialState = "extract_context",
            states = mapOf(
                "extract_context" to ProcessingState(
                    entryActions = listOf(ExtractEntitiesAction())
                )
            )
        )
    )
)

Code Generation Framework

Template-Based Code Generation

Agent Design Service includes a powerful code generation framework that automatically creates production-ready agent implementations from high-level specifications.

Code Generation Templates

Kotlin Agent Template:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95

// Generated agent implementation
// DO NOT EDIT - This file is auto-generated from agent specification
// Generated at: {{generation_timestamp}}
// Template version: {{template_version}}

package {{package_name}}

import com.aimatrix.engine.*
import com.aimatrix.engine.annotations.*
import kotlinx.coroutines.*
import org.springframework.stereotype.Component
import org.slf4j.LoggerFactory

@Agent(
    name = "{{agent_name}}",
    version = "{{agent_version}}",
    description = "{{agent_description}}"
)
@Component
class {{agent_class_name}} : BaseAgent() {
    
    companion object {
        private val logger = LoggerFactory.getLogger({{agent_class_name}}::class.java)
    }
    
    {{#each memory_definitions}}
    @Memory(persistent = {{persistent}}, ttl = Duration.{{ttl}})
    private val {{name}}: {{type}} = {{default_value}}
    {{/each}}
    
    {{#each capabilities}}
    @Capability
    private val {{name}}: {{type}} by lazy {
        {{initialization_code}}
    }
    {{/each}}
    
    {{#each handlers}}
    @Handler
    suspend fun {{method_name}}({{parameters}}): ProcessingResult = withContext(Dispatchers.IO) {
        logger.info("Processing {{handler_type}} request: ${{{input_parameter}}.javaClass.simpleName}")
        
        try {
            {{#each validation_rules}}
            if ({{condition}}) {
                return@withContext ProcessingResult.error("{{error_message}}")
            }
            {{/each}}
            
            {{processing_logic}}
            
            val result = {{result_expression}}
            
            logger.info("Successfully processed {{handler_type}} request")
            return@withContext ProcessingResult.success(result)
            
        } catch (e: Exception) {
            logger.error("Failed to process {{handler_type}} request", e)
            return@withContext ProcessingResult.error("Processing failed: ${e.message}")
        }
    }
    
    {{/each}}
    
    {{#each scheduled_tasks}}
    @Scheduled({{schedule_expression}})
    suspend fun {{method_name}}() {
        logger.debug("Executing scheduled task: {{method_name}}")
        
        try {
            {{task_logic}}
        } catch (e: Exception) {
            logger.error("Scheduled task failed: {{method_name}}", e)
        }
    }
    {{/each}}
    
    {{#each private_methods}}
    private suspend fun {{method_name}}({{parameters}}): {{return_type}} {
        {{method_body}}
    }
    {{/each}}
    
    override suspend fun onStart() {
        logger.info("Agent {{agent_name}} starting up")
        {{startup_logic}}
        super.onStart()
    }
    
    override suspend fun onStop() {
        logger.info("Agent {{agent_name}} shutting down")
        {{shutdown_logic}}
        super.onStop()
    }
}

Python Agent Template:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86

# Generated agent implementation
# DO NOT EDIT - This file is auto-generated from agent specification
# Generated at: {{generation_timestamp}}
# Template version: {{template_version}}

from amx_engine import Agent, handler, memory, capability, scheduled
from amx_engine.types import ProcessingResult, Message
from datetime import datetime, timedelta
from typing import Dict, List, Any, Optional
import asyncio
import logging

logger = logging.getLogger(__name__)

@Agent(
    name="{{agent_name}}",
    version="{{agent_version}}",
    description="{{agent_description}}"
)
class {{agent_class_name}}:
    def __init__(self):
        self.logger = logger
        {{#each initialization_code}}
        {{this}}
        {{/each}}
    
    {{#each memory_definitions}}
    @memory(persistent={{persistent}}, ttl=timedelta({{ttl}}))
    def {{name}}(self):
        return {{default_value}}
    {{/each}}
    
    {{#each capabilities}}
    @capability
    def {{name}}(self):
        {{initialization_code}}
        return {{instance_creation}}
    {{/each}}
    
    {{#each handlers}}
    @handler
    async def {{method_name}}(self, {{parameters}}) -> ProcessingResult:
        self.logger.info(f"Processing {{handler_type}} request: {type({{input_parameter}}).__name__}")
        
        try:
            {{#each validation_rules}}
            if {{condition}}:
                return ProcessingResult.error("{{error_message}}")
            {{/each}}
            
            {{processing_logic}}
            
            result = {{result_expression}}
            
            self.logger.info("Successfully processed {{handler_type}} request")
            return ProcessingResult.success(result)
            
        except Exception as e:
            self.logger.error(f"Failed to process {{handler_type}} request: {str(e)}")
            return ProcessingResult.error(f"Processing failed: {str(e)}")
    
    {{/each}}
    
    {{#each scheduled_tasks}}
    @scheduled({{schedule_expression}})
    async def {{method_name}}(self):
        self.logger.debug("Executing scheduled task: {{method_name}}")
        
        try:
            {{task_logic}}
        except Exception as e:
            self.logger.error(f"Scheduled task failed: {{method_name}}: {str(e)}")
    {{/each}}
    
    {{#each private_methods}}
    async def {{method_name}}(self, {{parameters}}) -> {{return_type}}:
        {{method_body}}
    {{/each}}
    
    async def on_start(self):
        self.logger.info("Agent {{agent_name}} starting up")
        {{startup_logic}}
    
    async def on_stop(self):
        self.logger.info("Agent {{agent_name}} shutting down")
        {{shutdown_logic}}

Code Generation API 

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180

// TypeScript interfaces for code generation service
interface CodeGenerationRequest {
  agentSpecification: AgentSpecification
  targetLanguage: 'kotlin' | 'python' | 'typescript' | 'csharp' | 'java'
  templateVersion?: string
  customTemplates?: Record<string, string>
  outputFormat: 'single-file' | 'multi-file' | 'project-structure'
  includeTests: boolean
  includeDocumentation: boolean
}

interface AgentSpecification {
  metadata: {
    name: string
    version: string
    description: string
    author: string
    license?: string
  }
  
  stateMachine: StateMachineDefinition
  
  capabilities: Array<{
    name: string
    type: string
    configuration: Record<string, any>
  }>
  
  memory: Array<{
    name: string
    type: string
    persistent: boolean
    ttl?: string
    defaultValue?: any
  }>
  
  handlers: Array<{
    name: string
    inputType: string
    outputType: string
    validationRules: Array<ValidationRule>
    businessLogic: string
  }>
  
  scheduledTasks: Array<{
    name: string
    schedule: string
    taskLogic: string
  }>
  
  integrations: Array<{
    type: string
    name: string
    configuration: Record<string, any>
  }>
}

interface CodeGenerationResult {
  success: boolean
  files: Array<{
    path: string
    content: string
    type: 'source' | 'test' | 'config' | 'documentation'
  }>
  metadata: {
    generatedAt: string
    templateVersion: string
    targetLanguage: string
  }
  warnings: string[]
  errors: string[]
}

// Code generation service implementation
class CodeGenerationService {
  
  async generateAgent(
    request: CodeGenerationRequest
  ): Promise<CodeGenerationResult> {
    
    // Validate input specification
    const validation = await this.validateSpecification(request.agentSpecification)
    if (!validation.isValid) {
      return {
        success: false,
        files: [],
        metadata: {
          generatedAt: new Date().toISOString(),
          templateVersion: request.templateVersion || 'latest',
          targetLanguage: request.targetLanguage
        },
        warnings: [],
        errors: validation.errors
      }
    }
    
    // Load appropriate templates
    const templates = await this.loadTemplates(
      request.targetLanguage,
      request.templateVersion,
      request.customTemplates
    )
    
    // Generate code files
    const files: Array<{ path: string; content: string; type: string }> = []
    
    // Generate main agent file
    const mainAgentCode = await this.generateFromTemplate(
      templates.agentTemplate,
      request.agentSpecification
    )
    files.push({
      path: this.getMainFilePath(request.agentSpecification.metadata.name, request.targetLanguage),
      content: mainAgentCode,
      type: 'source'
    })
    
    // Generate test files if requested
    if (request.includeTests) {
      const testCode = await this.generateFromTemplate(
        templates.testTemplate,
        request.agentSpecification
      )
      files.push({
        path: this.getTestFilePath(request.agentSpecification.metadata.name, request.targetLanguage),
        content: testCode,
        type: 'test'
      })
    }
    
    // Generate configuration files
    const configCode = await this.generateConfigurationFiles(request.agentSpecification)
    files.push(...configCode)
    
    // Generate documentation if requested
    if (request.includeDocumentation) {
      const docCode = await this.generateDocumentation(request.agentSpecification)
      files.push(...docCode)
    }
    
    return {
      success: true,
      files,
      metadata: {
        generatedAt: new Date().toISOString(),
        templateVersion: request.templateVersion || 'latest',
        targetLanguage: request.targetLanguage
      },
      warnings: [],
      errors: []
    }
  }
  
  private async generateFromTemplate(
    template: string,
    specification: AgentSpecification
  ): Promise<string> {
    
    const handlebars = Handlebars.create()
    
    // Register custom helpers
    handlebars.registerHelper('pascalCase', (str: string) => {
      return str.replace(/(?:^|\s)\S/g, (a) => a.toUpperCase()).replace(/\s/g, '')
    })
    
    handlebars.registerHelper('camelCase', (str: string) => {
      const pascal = str.replace(/(?:^|\s)\S/g, (a) => a.toUpperCase()).replace(/\s/g, '')
      return pascal.charAt(0).toLowerCase() + pascal.slice(1)
    })
    
    handlebars.registerHelper('formatDuration', (duration: string) => {
      // Convert human-readable duration to appropriate format for target language
      return this.formatDurationForLanguage(duration, this.currentTargetLanguage)
    })
    
    // Compile and execute template
    const compiledTemplate = handlebars.compile(template)
    return compiledTemplate(specification)
  }
}

Testing Framework

Automated Testing Infrastructure

Agent Design Service provides comprehensive testing capabilities including unit tests, integration tests, performance tests, and conversation flow validation.

Agent Testing DSL 

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184

// Domain-Specific Language for agent testing
@Component
class AgentTestFramework {
    
    fun agentTest(agentName: String, block: AgentTestBuilder.() -> Unit): AgentTestSuite {
        val builder = AgentTestBuilder(agentName)
        builder.block()
        return builder.build()
    }
}

class AgentTestBuilder(private val agentName: String) {
    private val testCases = mutableListOf<AgentTestCase>()
    private val setupActions = mutableListOf<TestAction>()
    private val teardownActions = mutableListOf<TestAction>()
    
    fun setup(block: TestSetupBuilder.() -> Unit) {
        val setupBuilder = TestSetupBuilder()
        setupBuilder.block()
        setupActions.addAll(setupBuilder.actions)
    }
    
    fun teardown(block: TestTeardownBuilder.() -> Unit) {
        val teardownBuilder = TestTeardownBuilder()
        teardownBuilder.block()
        teardownActions.addAll(teardownBuilder.actions)
    }
    
    fun conversation(name: String, block: ConversationTestBuilder.() -> Unit) {
        val conversationBuilder = ConversationTestBuilder(name)
        conversationBuilder.block()
        testCases.add(conversationBuilder.build())
    }
    
    fun build(): AgentTestSuite {
        return AgentTestSuite(
            agentName = agentName,
            setupActions = setupActions,
            teardownActions = teardownActions,
            testCases = testCases
        )
    }
}

class ConversationTestBuilder(private val name: String) {
    private val steps = mutableListOf<ConversationStep>()
    private val expectations = mutableListOf<TestExpectation>()
    
    fun userSays(message: String, context: Map<String, Any> = emptyMap()) {
        steps.add(ConversationStep.UserInput(message, context))
    }
    
    fun agentResponds(block: ResponseExpectationBuilder.() -> Unit) {
        val responseBuilder = ResponseExpectationBuilder()
        responseBuilder.block()
        steps.add(ConversationStep.AgentResponse(responseBuilder.build()))
    }
    
    fun expectState(stateName: String) {
        expectations.add(StateExpectation(stateName))
    }
    
    fun expectMemoryContains(key: String, value: Any) {
        expectations.add(MemoryExpectation(key, value))
    }
    
    fun expectResponseTime(maxDuration: Duration) {
        expectations.add(PerformanceExpectation.ResponseTime(maxDuration))
    }
    
    fun expectExternalCall(serviceName: String, method: String, parameters: Map<String, Any>) {
        expectations.add(ExternalCallExpectation(serviceName, method, parameters))
    }
    
    fun build(): AgentTestCase {
        return ConversationTestCase(name, steps, expectations)
    }
}

// Example usage of testing DSL
@Test
fun customerServiceAgentTests() = runTest {
    
    val testSuite = agentTestFramework.agentTest("customer-service-agent") {
        
        setup {
            createTestCustomer("test_customer_123") {
                name = "John Doe"
                email = "john.doe@example.com"
                accountType = "premium"
                recentOrders = listOf("order_456", "order_789")
            }
            
            mockExternalService("crm-api") {
                when("getCustomerProfile") {
                    returns(customerProfile("test_customer_123"))
                }
                when("createTicket") {
                    returns(ticketCreated("TICKET-001"))
                }
            }
        }
        
        conversation("greeting_and_inquiry") {
            userSays("Hello, I have a question about my recent order")
            
            agentResponds {
                contains("Hello John")
                contains("recent order")
                responseTime(lessThan = 2.seconds)
            }
            
            expectState("inquiry_handler")
            expectMemoryContains("customer_id", "test_customer_123")
            expectExternalCall("crm-api", "getCustomerProfile", mapOf("id" to "test_customer_123"))
            
            userSays("I haven't received order 456 yet")
            
            agentResponds {
                contains("order 456")
                contains("tracking information")
                containsAny(listOf("shipping", "delivery", "tracking"))
            }
            
            expectState("order_inquiry_handler")
            expectResponseTime(3.seconds)
        }
        
        conversation("complaint_escalation") {
            userSays("This is completely unacceptable! I want to speak to a manager now!")
            
            agentResponds {
                contains("apologize")
                contains("manager")
                tone(isEmpathetic = true)
            }
            
            expectState("escalate_to_human")
            expectExternalCall("ticketing-system", "createTicket", mapOf(
                "priority" to "high",
                "category" to "complaint"
            ))
        }
        
        conversation("complex_multi_turn") {
            userSays("I need help with setting up automatic payments")
            
            agentResponds {
                contains("automatic payments")
                offers("guide you through")
            }
            
            expectState("payment_setup_wizard")
            
            userSays("Yes, please help me")
            
            agentResponds {
                contains("first step")
                containsFormField("payment_method")
            }
            
            userSays("I want to use my credit card ending in 1234")
            
            agentResponds {
                contains("credit card ending 1234")
                containsFormField("billing_frequency")
            }
            
            expectMemoryContains("payment_setup.method", "credit_card_1234")
        }
        
        teardown {
            cleanupTestCustomer("test_customer_123")
            resetExternalServiceMocks()
        }
    }
    
    // Execute test suite
    val results = agentTestRunner.execute(testSuite)
    
    // Verify results
    assert(results.allPassed) { "Some tests failed: ${results.failures}" }
    assert(results.averageResponseTime < 2.seconds) { "Performance requirements not met" }
}

Performance Testing Framework 

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164

@Component
class AgentPerformanceTestFramework {
    
    suspend fun loadTest(
        agentName: String,
        configuration: LoadTestConfiguration
    ): LoadTestResult {
        
        val testExecutor = CoroutineScope(Dispatchers.Default + SupervisorJob())
        val metrics = ConcurrentHashMap<String, AtomicLong>()
        val responseTimes = ConcurrentLinkedQueue<Duration>()
        val errors = ConcurrentLinkedQueue<TestError>()
        
        try {
            // Warm-up phase
            repeat(configuration.warmupRequests) {
                testExecutor.launch {
                    executeTestRequest(agentName, configuration.testScenarios.random())
                }
            }
            delay(configuration.warmupDuration)
            
            // Main test phase
            val startTime = Instant.now()
            val testJobs = (1..configuration.totalRequests).map { requestId ->
                testExecutor.launch {
                    val scenario = configuration.testScenarios.random()
                    val requestStart = Instant.now()
                    
                    try {
                        val result = executeTestRequest(agentName, scenario)
                        val duration = Duration.between(requestStart, Instant.now())
                        
                        responseTimes.offer(duration)
                        metrics.getOrPut("successful_requests") { AtomicLong(0) }.incrementAndGet()
                        
                        if (duration > configuration.maxAcceptableResponseTime) {
                            metrics.getOrPut("slow_requests") { AtomicLong(0) }.incrementAndGet()
                        }
                        
                    } catch (e: Exception) {
                        errors.offer(TestError(requestId, scenario.name, e.message ?: "Unknown error"))
                        metrics.getOrPut("failed_requests") { AtomicLong(0) }.incrementAndGet()
                    }
                }
            }
            
            // Apply load pattern
            when (configuration.loadPattern) {
                LoadPattern.CONSTANT -> {
                    testJobs.forEach { it.join() }
                }
                LoadPattern.RAMP_UP -> {
                    val batchSize = testJobs.size / 10
                    testJobs.chunked(batchSize).forEach { batch ->
                        batch.forEach { it.join() }
                        delay(configuration.rampUpInterval)
                    }
                }
                LoadPattern.SPIKE -> {
                    // Execute 80% of requests gradually, then spike the remaining 20%
                    val gradualCount = (testJobs.size * 0.8).toInt()
                    testJobs.take(gradualCount).forEach { 
                        it.join()
                        delay(50) // Small delay between requests
                    }
                    testJobs.drop(gradualCount).forEach { it.join() } // Spike
                }
            }
            
            val endTime = Instant.now()
            val totalDuration = Duration.between(startTime, endTime)
            
            return LoadTestResult(
                agentName = agentName,
                configuration = configuration,
                totalDuration = totalDuration,
                totalRequests = configuration.totalRequests,
                successfulRequests = metrics["successful_requests"]?.get() ?: 0,
                failedRequests = metrics["failed_requests"]?.get() ?: 0,
                slowRequests = metrics["slow_requests"]?.get() ?: 0,
                averageResponseTime = responseTimes.average(),
                percentiles = calculatePercentiles(responseTimes.toList()),
                throughput = configuration.totalRequests.toDouble() / totalDuration.toSeconds(),
                errors = errors.toList()
            )
            
        } finally {
            testExecutor.cancel()
        }
    }
    
    private fun calculatePercentiles(responseTimes: List<Duration>): ResponseTimePercentiles {
        val sortedTimes = responseTimes.sorted()
        val size = sortedTimes.size
        
        return ResponseTimePercentiles(
            p50 = sortedTimes[size / 2],
            p90 = sortedTimes[(size * 0.9).toInt()],
            p95 = sortedTimes[(size * 0.95).toInt()],
            p99 = sortedTimes[(size * 0.99).toInt()]
        )
    }
}

// Load testing configuration
data class LoadTestConfiguration(
    val totalRequests: Int,
    val concurrentUsers: Int,
    val testDuration: Duration,
    val warmupDuration: Duration,
    val warmupRequests: Int,
    val maxAcceptableResponseTime: Duration,
    val loadPattern: LoadPattern,
    val rampUpInterval: Duration,
    val testScenarios: List<TestScenario>
)

enum class LoadPattern {
    CONSTANT,    // Steady load throughout test
    RAMP_UP,     // Gradually increase load
    SPIKE        // Sudden load spikes
}

// Example performance test
@Test
fun agentPerformanceTest() = runTest {
    
    val loadTestConfig = LoadTestConfiguration(
        totalRequests = 10000,
        concurrentUsers = 100,
        testDuration = Duration.ofMinutes(5),
        warmupDuration = Duration.ofMinutes(1),
        warmupRequests = 500,
        maxAcceptableResponseTime = Duration.ofSeconds(2),
        loadPattern = LoadPattern.RAMP_UP,
        rampUpInterval = Duration.ofSeconds(30),
        testScenarios = listOf(
            TestScenario("simple_greeting", "Hello"),
            TestScenario("complex_inquiry", "I need help with my order #12345 that was supposed to arrive yesterday"),
            TestScenario("complaint", "This is the worst service I've ever experienced!"),
            TestScenario("information_request", "What are your business hours?")
        )
    )
    
    val results = performanceTestFramework.loadTest("customer-service-agent", loadTestConfig)
    
    // Verify performance requirements
    assert(results.averageResponseTime < Duration.ofSeconds(1)) {
        "Average response time too high: ${results.averageResponseTime}"
    }
    
    assert(results.percentiles.p95 < Duration.ofSeconds(2)) {
        "95th percentile response time too high: ${results.percentiles.p95}"
    }
    
    assert(results.successRate > 0.99) {
        "Success rate too low: ${results.successRate}"
    }
    
    assert(results.throughput > 100) {
        "Throughput too low: ${results.throughput} req/sec"
    }
}

Integration Testing 

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225

@Component
class AgentIntegrationTestFramework {
    
    @Testcontainers
    class CustomerServiceAgentIntegrationTest {
        
        companion object {
            @Container
            val postgres = PostgreSQLContainer("postgres:13")
                .withDatabaseName("test_agents")
                .withUsername("test_user")
                .withPassword("test_password")
            
            @Container
            val redis = GenericContainer("redis:6-alpine")
                .withExposedPorts(6379)
            
            @Container
            val elasticsearch = ElasticsearchContainer("elasticsearch:7.15.0")
                .withEnv("discovery.type", "single-node")
                .withEnv("ES_JAVA_OPTS", "-Xms512m -Xmx512m")
            
            @Container
            val wiremock = WireMockContainer("wiremock/wiremock:2.27.2")
                .withMapping("crm-api")
        }
        
        @Test
        fun `should handle complete customer service workflow`() = runTest {
            
            // Setup test data
            setupCustomerData()
            setupKnowledgeBase()
            setupExternalServiceMocks()
            
            val agentEngine = startAgentEngine()
            val conversationId = UUID.randomUUID().toString()
            
            try {
                // Step 1: Customer initiates conversation
                var response = agentEngine.sendMessage(
                    agentId = "customer-service-agent",
                    conversationId = conversationId,
                    message = ConversationMessage(
                        text = "Hello, I have a question about my order",
                        userId = "customer_123",
                        metadata = mapOf("channel" to "web_chat")
                    )
                )
                
                // Verify initial greeting and customer recognition
                assert(response.success)
                assert(response.text.contains("Hello"))
                assert(response.context["customer_recognized"] == true)
                
                // Step 2: Customer asks specific question
                response = agentEngine.sendMessage(
                    agentId = "customer-service-agent", 
                    conversationId = conversationId,
                    message = ConversationMessage(
                        text = "Where is my order #ORD-2024-001?",
                        userId = "customer_123"
                    )
                )
                
                // Verify order lookup and tracking information
                assert(response.success)
                assert(response.text.contains("ORD-2024-001"))
                assert(response.text.contains("tracking"))
                verifyExternalApiCall("/api/orders/ORD-2024-001", "GET")
                
                // Step 3: Customer expresses dissatisfaction
                response = agentEngine.sendMessage(
                    agentId = "customer-service-agent",
                    conversationId = conversationId, 
                    message = ConversationMessage(
                        text = "This is unacceptable! The order was supposed to arrive yesterday!",
                        userId = "customer_123"
                    )
                )
                
                // Verify escalation handling
                assert(response.success)
                assert(response.text.contains("apologize") || response.text.contains("sorry"))
                assert(response.metadata["escalation_triggered"] == true)
                verifyTicketCreation("COMPLAINT", "HIGH")
                
                // Step 4: Agent offers resolution
                response = agentEngine.sendMessage(
                    agentId = "customer-service-agent",
                    conversationId = conversationId,
                    message = ConversationMessage(
                        text = "Yes, I would like a refund",
                        userId = "customer_123"
                    )
                )
                
                // Verify refund processing
                assert(response.success)
                assert(response.text.contains("refund"))
                verifyExternalApiCall("/api/refunds", "POST")
                
                // Verify conversation summary and metrics
                val conversationSummary = agentEngine.getConversationSummary(conversationId)
                assert(conversationSummary.totalTurns > 0)
                assert(conversationSummary.resolutionStatus == "RESOLVED")
                assert(conversationSummary.customerSatisfactionScore != null)
                
            } finally {
                agentEngine.shutdown()
                cleanupTestData()
            }
        }
        
        @Test
        fun `should handle high concurrency with multiple customers`() = runTest {
            
            val agentEngine = startAgentEngine()
            val numberOfConcurrentCustomers = 50
            val conversationsPerCustomer = 10
            
            try {
                val results = (1..numberOfConcurrentCustomers).map { customerId ->
                    async {
                        val customerResults = mutableListOf<ConversationResult>()
                        
                        repeat(conversationsPerCustomer) { conversationIndex ->
                            val conversationId = "customer_${customerId}_conv_${conversationIndex}"
                            
                            val result = agentEngine.sendMessage(
                                agentId = "customer-service-agent",
                                conversationId = conversationId,
                                message = ConversationMessage(
                                    text = "I need help with customer_${customerId}",
                                    userId = "customer_${customerId}"
                                )
                            )
                            
                            customerResults.add(
                                ConversationResult(
                                    customerId = customerId,
                                    conversationId = conversationId,
                                    success = result.success,
                                    responseTime = result.processingTime
                                )
                            )
                        }
                        
                        customerResults
                    }
                }.awaitAll().flatten()
                
                // Verify all conversations succeeded
                val successRate = results.count { it.success }.toDouble() / results.size
                assert(successRate > 0.95) { "Success rate too low: $successRate" }
                
                // Verify performance under load
                val averageResponseTime = results.map { it.responseTime }.average()
                assert(averageResponseTime < Duration.ofSeconds(3)) {
                    "Average response time too high under load: ${averageResponseTime}"
                }
                
            } finally {
                agentEngine.shutdown()
            }
        }
        
        private fun setupExternalServiceMocks() {
            // Mock CRM API
            wiremock.stubFor(
                get(urlPathEqualTo("/api/customers/customer_123"))
                    .willReturn(
                        aResponse()
                            .withStatus(200)
                            .withHeader("Content-Type", "application/json")
                            .withBody("""
                                {
                                    "id": "customer_123",
                                    "name": "John Doe",
                                    "email": "john.doe@example.com",
                                    "tier": "premium",
                                    "recentOrders": ["ORD-2024-001", "ORD-2024-002"]
                                }
                            """.trimIndent())
                    )
            )
            
            // Mock order tracking API
            wiremock.stubFor(
                get(urlPathEqualTo("/api/orders/ORD-2024-001"))
                    .willReturn(
                        aResponse()
                            .withStatus(200)
                            .withHeader("Content-Type", "application/json")
                            .withBody("""
                                {
                                    "orderId": "ORD-2024-001",
                                    "status": "SHIPPED",
                                    "trackingNumber": "1234567890",
                                    "estimatedDelivery": "2024-01-15",
                                    "carrier": "FedEx"
                                }
                            """.trimIndent())
                    )
            )
            
            // Mock ticketing system
            wiremock.stubFor(
                post(urlPathEqualTo("/api/tickets"))
                    .willReturn(
                        aResponse()
                            .withStatus(201)
                            .withHeader("Content-Type", "application/json")
                            .withBody("""
                                {
                                    "ticketId": "TICKET-2024-001",
                                    "status": "OPEN",
                                    "priority": "HIGH"
                                }
                            """.trimIndent())
                    )
            )
        }
    }
}

This comprehensive technical documentation provides developers with detailed implementation patterns, code examples, and testing frameworks for building production-ready AI agents using the Agent Design Service. The documentation covers state machine implementation, code generation, testing strategies, and integration patterns needed for enterprise deployment.

AI Model Training Service - Technical Implementation