# Üretim için minimum agent skeleton
import os, json, time
from anthropic import Anthropic
from dotenv import load_dotenv
load_dotenv()
 
client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
 
# Tools (gerçek implementasyonu)
def search(query: str) -> str:
    return f"[Mock search] Top 3 results for '{query}'..."
 
def calculator(expr: str) -> float:
    return eval(expr)  # PRODUCTION'DA: ast.literal_eval veya sympy
 
TOOLS = [
    {"name": "search", "description": "Web araması", "input_schema": {
        "type": "object",
        "properties": {"query": {"type": "string"}},
        "required": ["query"]
    }},
    {"name": "calculator", "description": "Matematik hesabı", "input_schema": {
        "type": "object",
        "properties": {"expr": {"type": "string"}},
        "required": ["expr"]
    }},
]
 
def run_tool(name: str, args: dict) -> str:
    if name == "search": return search(**args)
    if name == "calculator": return str(calculator(**args))
    return f"Unknown tool: {name}"
 
def agent(goal: str, max_steps: int = 10, max_tokens_total: int = 50000):
    messages = [{"role": "user", "content": goal}]
    total_tokens = 0
    start = time.time()
 
    for step in range(max_steps):
        # Termination check
        if total_tokens > max_tokens_total:
            return "🚨 Token bütçesi aşıldı"
        if time.time() - start > 60:
            return "🚨 Timeout"
 
        r = client.messages.create(
            model="claude-sonnet-4-6",
            max_tokens=2000,
            tools=TOOLS,
            messages=messages,
        )
        total_tokens += r.usage.input_tokens + r.usage.output_tokens
 
        if r.stop_reason == "end_turn":
            return r.content[0].text
 
        # Tool çağrısı varsa
        messages.append({"role": "assistant", "content": r.content})
        tool_results = []
        for block in r.content:
            if block.type == "tool_use":
                print(f"[step {step+1}] {block.name}({block.input})")
                result = run_tool(block.name, block.input)
                tool_results.append({
                    "type": "tool_result",
                    "tool_use_id": block.id,
                    "content": result
                })
        messages.append({"role": "user", "content": tool_results})
 
    return "🚨 Max steps aşıldı"
 
print(agent("100 USD kaç TL ediyor? Sonra bu rakamı 2 ile çarp."))