AI Agent Rapid Prototyping: From Idea to Working Agent in One Hour

AI Agent Rapid Prototyping: From Idea to Working Agent in One Hour

💡 What You Will Learn

AI Agent Rapid Prototyping: From Idea to Working Agent in One Hour

# dify-agent-workflow.yaml — AgentConfiguration
name: customer-support-agent
description: AI Agent for common customer service issues

# Configuration
prompt: |

  1. 
  2. 
  3. 



knowledge_base:
  - .xlsx
  - .pdf
  - FAQ.md

tools:
  - name: query_order
    type: api
    endpoint: https://api.example.com/orders/{order_id}
  - name: create_return
    type: api
    endpoint: https://api.example.com/returns
    method: POST

# yaml

def rapid_agent_test(agent_endpoint, test_cases):
    """Test Agent"""
    results = {"passed": 0, "failed": 0, "details": []}
    for case in test_cases:
        resp = requests.post(agent_endpoint, json={"message": case["question"]})
        answer = resp.json()["answer"]
        # Quick/Fast0()5()
        score = int(input(f"\nQ: {case['question']}\nA: {answer[:200]}...\n(0-5): "))
        results["details"].append({"question": case["question"], "score": score})
        if score >= 3:
            results["passed"] += 1
        else:
            results["failed"] += 1
    return results

# Testing
test_cases = [
    {"question": "#12345", "expected": ""},
    {"question": "", "expected": ""},
    {"question": "", "expected": ""},
    {"question": "", "expected": ""},
]

# ——Quick/Fast
OPTIMIZATION_CHEATSHEET = {
    "": "→ PromptDescription",
    "": "→ ",
    "": "→ chunk_size300",
    "": "→ Prompt'50'",
    "": "→ few-shotExample''",
}

def diagnose_and_fix(test_results):
    """TestingAuto/Automatic"""
    avg_score = sum(r['score'] for r in test_results['details']) / len(test_results['details'])
    recommendations = []
    if avg_score < 3:
        recommendations.append("❌ PromptSystem Prompt")
    elif avg_score < 4:
        recommendations.append("⚠️ Prompt3-5few-shot")
    else:
        recommendations.append("✅ PromptOK")

    # Tool invocation
    tool_errors = [r for r in test_results['details'] if r.get('tool_misuse')]
    if len(tool_errors) > 2:
        recommendations.append("🔧 2-3")

    return recommendations

|:----|:--------|:--------|:----|

 > 80% →  → 
                ↓ 
Prompt    →  → Prompt
                ↓ 
      →  → Configuration
                ↓ 
    →  → 
                ↓ 
        →