AI agent cost intelligence — trace LLM calls, attribute costs, get optimization recommendations.
Project description
traeco-sdk
Stop paying for AI agent waste. Traeco traces every LLM call, attributes costs per function, and surfaces exactly where to cut spend.
Install
pip install traeco-sdk
Quickstart
import traeco
from anthropic import Anthropic
traeco.init(
api_key="tk_live_...",
host="https://backend-kynarochlani-4185s-projects.vercel.app",
agent_name="my-agent",
)
client = traeco.wrap(Anthropic())
# Your existing code — unchanged
response = client.messages.create(model="claude-sonnet-4-6", ...)
Per-function cost breakdown
@traeco.span("market_analysis")
def analyze(data):
return client.messages.create(...)
@traeco.span("trade_decision")
def decide(analysis):
return client.messages.create(...)
Each @span becomes its own row in the dashboard — cost, tokens, latency, and recommendations per function.
Works with OpenAI too
from openai import OpenAI
client = traeco.wrap(OpenAI())
Environment variable
import os
traeco.init(api_key=os.getenv("TRAECO_API_KEY"), ...)
Full docs
See DOCS.md for the complete reference including Claude Code integration prompts.
Project details
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