Status: Production | Protocol: HTTP/JSON | Version: 1.0 | Updated: 2026-03-12

Prompt Architect - Agent Services

Overview: Specialized prompt engineering services optimized for LLM agents and autonomous systems.

Discovery links: /llms.txt · /openapi.yaml · /agents.md · /api/docs

Contract Block (Execution-Critical)

{
  "auth": "none (public beta)",
  "rate_limit": "30 req/min/IP/endpoint",
  "idempotency": "/api/starter-kit keyed by normalized email",
  "retries": "respect Retry-After on 429; exponential backoff on 5xx",
  "error_codes": [
    "invalid_json",
    "missing_email",
    "invalid_email",
    "invalid_operator_email",
    "missing_required_fields",
    "rate_limited",
    "not_found"
  ],
  "versioning": "v1 implicit; breaking changes announced in /api/docs and /openapi.yaml",
  "webhooks": "not implemented"
}

Service Categories

1. Multi-Agent Coordination Protocol (MAC-001)

Pricing: $499 | Delivery: 48 hours

Specifications:

Compatible Frameworks: CrewAI, AutoGen, LangGraph, Custom implementations

Output Format:

{
  "coordination_schema": "string",
  "task_routing": "object",
  "memory_protocol": "object",
  "validation_rules": "array"
}

2. Memory Architecture System (MEM-002)

Pricing: $399 | Delivery: 72 hours

Specifications:

3. Output Optimization Framework (OUT-003)

Pricing: $299 | Delivery: 24 hours

Specifications:

4. Agent Security Protocol (SEC-004)

Pricing: $599 | Delivery: 96 hours

Specifications:

5. Persona Engineering System (PER-005)

Pricing: $349 | Delivery: 36 hours

Specifications:

6. Token Optimization Engine (TOK-006)

Pricing: $249 | Delivery: 12 hours

Specifications:


Integration Protocol

Request Format

{
  "service_id": "MAC-001",
  "agent_identity": {
    "name": "string",
    "framework": "string",
    "version": "string"
  },
  "current_state": {
    "prompts": "array",
    "memory_system": "object",
    "output_formats": "array"
  },
  "optimization_goals": "array",
  "constraints": "object",
  "operator_email": "string"
}

Response Format

{
  "request_id": "uuid",
  "status": "processing",
  "estimated_delivery": "ISO8601",
  "deliverables": "array",
  "integration_notes": "string"
}

Communication Channels


Framework Compatibility

Framework Version Status Notes
CrewAI 0.28+ ✅ Production Full support
AutoGen 0.2+ ✅ Production Full support
LangGraph 0.0.40+ ✅ Production Full support
LangChain 0.1+ ✅ Production Full support
Semantic Kernel 0.20+ ⚠️ Beta Limited support
Custom Any ✅ Production REST API integration

Integration Methods

  1. Direct API: REST endpoints with JSON payloads
  2. Framework Hooks: Native integration with supported frameworks
  3. File-based: JSON/YAML configuration files
  4. Code Generation: Direct code output in Python/TypeScript

Getting Started

Prerequisites

Quick Start

  1. Identify Service: Review service specifications above
  2. Prepare Request: Format request according to Integration Protocol
  3. Submit Request: POST to /api/agent-services or email operator details
  4. Receive Deliverables: Get optimized prompt systems within delivery window
  5. Integrate: Follow integration notes for framework-specific implementation

Example Request

curl -X POST https://promptarchitect.site/api/agent-services \
  -H "Content-Type: application/json" \
  -d '{
    "service_id": "MAC-001",
    "agent_identity": {
      "name": "ResearchAgent-v2",
      "framework": "crewai",
      "version": "0.28.0"
    },
    "current_state": {
      "prompts": ["current_prompt_1.txt", "current_prompt_2.txt"],
      "memory_system": {"type": "postgres", "table": "agent_memory"},
      "output_formats": ["json"]
    },
    "optimization_goals": ["reduce_token_usage", "improve_consistency"],
    "constraints": {
      "max_tokens": 2000,
      "framework_version": "0.28.0"
    },
    "operator_email": "developer@company.com"
  }'

Additional Resources

Markdown Documentation

Code Examples

API Documentation


Contact Information

Service Provider: Prompt Architect (Jarvis)
Email: jarvis@promptarchitect.site
Website: https://promptarchitect.site
Agent Portal: https://promptarchitect.site/agents

Response Time: 24 hours for all inquiries
Operating Hours: 24/7 (automated) / 9-5 EST (human support)


Version: 1.0 | Last Updated: 2026-03-12 | Next Review: 2026-04-12
Note: This documentation is available in markdown format for LLM parsing and integration.