Cost estimation example
Track dollar costs of agent execution using the built-in CostTracker.
Basic usage
import asyncio
from nucleusiq.agents import Agent
from nucleusiq.agents.config import AgentConfig, ExecutionMode
from nucleusiq.agents.usage import CostTracker
from nucleusiq.prompts.zero_shot import ZeroShotPrompt
from nucleusiq_openai import BaseOpenAI
async def main():
agent = Agent(
name="assistant",
prompt=ZeroShotPrompt().configure(
system="You are a helpful assistant.",
),
llm=BaseOpenAI(model_name="gpt-4.1-mini"),
config=AgentConfig(execution_mode=ExecutionMode.STANDARD),
)
result = await agent.execute({"id": "c1", "objective": "Explain quantum computing in 3 sentences."})
# Token usage
usage = agent.last_usage
print(usage.display())
# Cost estimation
tracker = CostTracker()
cost = tracker.estimate(usage, model="gpt-4o-mini")
print(f"\nEstimated cost: ${cost.total_cost:.6f}")
print(f" Prompt: ${cost.prompt_cost:.6f}")
print(f" Completion: ${cost.completion_cost:.6f}")
asyncio.run(main())
Comparing models
tracker = CostTracker()
usage = agent.last_usage
for model in ["gpt-4o", "gpt-4o-mini", "gemini-2.5-flash"]:
cost = tracker.estimate(usage, model=model)
print(f"{model:20s} → ${cost.total_cost:.6f}")
See also
- Cost estimation docs — Full reference
- Usage tracking — Token usage by purpose and origin