Documentation

import { SpendpolClient } from "@spendpol/sdk";

const client = new SpendpolClient({
  apiKey: "sp_key_...",
  baseUrl: "https://proxy.spendpol.com",
});

const response = await client.chat({
  provider: "openai",
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello" }],
});

// Response includes governance metadata
console.log(response.headers.cost);      // "0.000150"
console.log(response.headers.cache);     // "miss"
console.log(response.headers.auditId);   // "evt_abc123"

from spendpol import SpendpolClient

client = SpendpolClient(
    api_key="sp_key_...",
    base_url="https://proxy.spendpol.com",
)

response = await client.chat(
    provider="openai",
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello"}],
)

# Response includes governance metadata
print(response.headers.cost)       # "0.000150"
print(response.headers.tokens)     # {"input": 25, "output": 100}

import { SpendpolOpenAI } from "@spendpol/sdk";

// Drop-in replacement for OpenAI client
const openai = new SpendpolOpenAI({
  apiKey: "sp_key_...",
});

// Use exactly like the OpenAI SDK
const completion = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello" }],
});

from spendpol import SpendpolCallbackHandler

handler = SpendpolCallbackHandler(
    api_key="sp_key_...",
)

# Add to your LangChain chain
chain.invoke(input, config={"callbacks": [handler]})