LangGraph Cost Tracking

pip install "pylva-sdk[langchain]"

import os
from pylva.langchain import PylvaCallbackHandler

handler = PylvaCallbackHandler(api_key=os.environ["PYLVA_API_KEY"])

result = graph.invoke(
    {"question": "Where did spend increase?"},
    config={
        "callbacks": [handler],
        "metadata": {"pylva_customer_id": "cust_acme"},
    },
)

pnpm add @pylva/sdk @langchain/core @langchain/langgraph

import { PylvaCallbackHandler } from "@pylva/sdk/langgraph";

const handler = new PylvaCallbackHandler({
  apiKey: process.env.PYLVA_API_KEY!,
});

const result = await graph.invoke(
  { question: "Where did spend increase?" },
  {
    callbacks: [handler],
    metadata: { pylva_customer_id: "cust_acme" },
  },
);

graph.invoke(
    inputs,
    config={
        "callbacks": [handler],
        "metadata": {"pylva_customer_id": "cust_acme"},
    },
)

llm.invoke(
    messages,
    config={
        "callbacks": [handler],
        "metadata": {
            "pylva_customer_id": "cust_acme",
            "pylva_step": "support_triage",
        },
    },
)

for customer_id, question in pending_questions:
    graph.invoke(
        {"question": question},
        config={
            "callbacks": [handler],
            "metadata": {"pylva_customer_id": customer_id},
        },
    )

handler = PylvaCallbackHandler(
    api_key=os.environ["PYLVA_API_KEY"],
    track_tool_calls=True,
)