AI Agent Stack Builder

Intelligent recommendation system that generates optimal AI agent technology stacks based on project requirements, constraints, and team expertise.

ToolWeb@krishnakumarmahadevan-cmd

Install

openclaw skills install @krishnakumarmahadevan-cmd/toolweb-ai-agent-stack-builder

Overview

The AI Agent Stack Builder is an intelligent recommendation engine designed to help development teams select the optimal technology stack for building AI agents. By analyzing project requirements—including type, expected user load, budget constraints, latency requirements, deployment preferences, and team expertise—the system provides curated recommendations for frameworks, large language models (LLMs), and supporting technologies.

This tool addresses a critical pain point in modern AI development: the overwhelming number of choices when building agent-based systems. Whether you're developing a customer service chatbot, autonomous research agent, or data analysis tool, the Stack Builder evaluates your unique constraints and generates a prioritized set of recommendations tailored to your situation.

The API is ideal for development teams, AI architects, technical leads, and organizations evaluating AI agent solutions who need objective, data-driven guidance on technology selection aligned with their specific operational and business constraints.

Usage

Sample Request:

json

{
  "formData": {
    "projectType": "customer_service_chatbot",
    "userLoad": "high",
    "budget": "medium",
    "latency": "low",
    "deployment": "cloud",
    "expertise": "intermediate",
    "capabilities": ["natural_language_understanding", "context_retention", "multi_turn_conversation"],
    "security": ["data_encryption", "role_based_access_control"],
    "additionalNotes": "Need HIPAA compliance for healthcare customer service"
  },
  "sessionId": "sess_abc123def456",
  "userId": 12345,
  "timestamp": "2024-01-15T14:30:00Z"
}

Sample Response:

json

{
  "recommendation": {
    "frameworks": [
      {
        "name": "LangChain",
        "priority": 1,
        "reasoning": "Excellent for multi-turn conversations with memory management and integrations",
        "suitability_score": 0.95
      },
      {
        "name": "LlamaIndex",
        "priority": 2,
        "reasoning": "Strong context retention and retrieval capabilities",
        "suitability_score": 0.88
      }
    ],
    "llms": [
      {
        "name": "GPT-4",
        "provider": "OpenAI",
        "priority": 1,
        "reasoning": "Superior NLU and context understanding for customer interactions",
        "cost_per_1m_tokens": 0.03,
        "latency_ms": 200
      },
      {
        "name": "Claude 3 Sonnet",
        "provider": "Anthropic",
        "priority": 2,
        "reasoning": "Strong privacy stance and cost-effective alternative",
        "cost_per_1m_tokens": 0.003,
        "latency_ms": 250
      }
    ],
    "supporting_technologies": [
      {
        "category": "vector_database",
        "recommendation": "Pinecone",
        "reasoning": "Managed solution suitable for cloud deployment with high availability"
      },
      {
        "category": "monitoring",
        "recommendation": "Datadog",
        "reasoning": "Comprehensive monitoring for latency-sensitive applications"
      }
    ],
    "compliance_notes": "Verify LLM provider's HIPAA BAA requirements; consider on-premise deployment for sensitive data handling",
    "estimated_monthly_cost": 1500,
    "implementation_timeline_weeks": 4
  }
}

Endpoints

GET /

Root / Health Check

Returns a health status of the API service.

Parameter	Type	Required	Description
None	—	—	No parameters required

Response: 200 OK

json

{
  "status": "healthy",
  "version": "1.0.0"
}

POST /api/agent/stack

Generate Stack Recommendation

Generates an AI agent technology stack recommendation based on project requirements and constraints.

Parameter	Type	Required	Description
formData	Object	✓	Project requirements and constraints
formData.projectType	string	✓	Type of AI agent project (e.g., "customer_service_chatbot", "research_agent", "data_analysis_agent")
formData.userLoad	string	✓	Expected user load level ("low", "medium", "high")
formData.budget	string	✓	Budget constraint ("low", "medium", "high")
formData.latency	string	✓	Latency requirement ("low", "medium", "high")
formData.deployment	string	✓	Deployment environment ("cloud", "on_premise", "hybrid", "edge")
formData.expertise	string	✓	Team's technical expertise level ("beginner", "intermediate", "advanced")
formData.capabilities	array[string]	Optional	Required AI capabilities (e.g., "natural_language_understanding", "context_retention", "function_calling")
formData.security	array[string]	Optional	Security and compliance requirements (e.g., "data_encryption", "role_based_access_control", "audit_logging")
formData.additionalNotes	string	Optional	Additional context or special requirements
sessionId	string	✓	Unique session identifier for tracking
userId	integer	Optional	User identifier for personalization
timestamp	string	✓	Request timestamp in ISO 8601 format

Response: 200 OK

json

{
  "recommendation": {
    "frameworks": [...],
    "llms": [...],
    "supporting_technologies": [...],
    "compliance_notes": "string",
    "estimated_monthly_cost": 0,
    "implementation_timeline_weeks": 0
  }
}

Error Response: 422 Unprocessable Entity

json

{
  "detail": [
    {
      "loc": ["body", "formData", "projectType"],
      "msg": "field required",
      "type": "value_error.missing"
    }
  ]
}

GET /api/frameworks

Get Available Frameworks

Retrieves the list of available AI agent frameworks that the system can recommend.

Parameter	Type	Required	Description
None	—	—	No parameters required

Response: 200 OK

json

{
  "frameworks": [
    {
      "name": "LangChain",
      "version": "0.1.0",
      "category": "orchestration",
      "description": "Framework for building applications with LLMs",
      "maturity": "production"
    },
    {
      "name": "LlamaIndex",
      "version": "0.10.0",
      "category": "retrieval",
      "description": "Data framework for LLM applications",
      "maturity": "production"
    }
  ]
}

GET /api/llms

Get Available LLMs

Retrieves the list of available large language models that the system can recommend.

Parameter	Type	Required	Description
None	—	—	No parameters required

Response: 200 OK

json

{
  "llms": [
    {
      "name": "GPT-4",
      "provider": "OpenAI",
      "type": "closed_source",
      "context_window": 128000,
      "cost_per_1m_tokens": 0.03,
      "latency_ms": 200
    },
    {
      "name": "Claude 3 Opus",
      "provider": "Anthropic",
      "type": "closed_source",
      "context_window": 200000,
      "cost_per_1m_tokens": 0.015,
      "latency_ms": 300
    }
  ]
}

Pricing

Plan	Calls/Day	Calls/Month	Price
Free	5	50	Free
Developer	20	500	$39/mo
Professional	200	5,000	$99/mo
Enterprise	100,000	1,000,000	$299/mo

About

ToolWeb.in - 200+ security APIs, CISSP & CISM, platforms: Pay-per-run, API Gateway, MCP Server, OpenClaw, RapidAPI, YouTube.

References

Kong Route: https://api.mkkpro.com/creative/ai-agent-stack-builder
API Docs: https://api.mkkpro.com:8162/docs

AI Agent Stack Builder

Install

Overview

Usage

Endpoints

GET /

POST /api/agent/stack

GET /api/frameworks

GET /api/llms

Pricing

About

References

Related skills