Cut your OpenAI bill 60–80% with one line of code

Most developers send every request to gpt-4o or claude-opus out of habit. That habit costs 10–50× more than necessary for the majority of prompts. A simple classification question, a JSON extraction, a grammar check — these tasks don’t need a frontier model. PRYSM routes them automatically to the cheapest capable model and reserves the heavy models only for prompts that need them.

The one-line change

# Before
from openai import OpenAI
client = OpenAI(api_key="sk-...")

# After — zero other changes
from openai import OpenAI
client = OpenAI(
    api_key="prysm_sk_...",      # your PRYSM key
    base_url="https://api.prysm1.com/v1",
)

// Before
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "sk-..." });

// After — zero other changes
import OpenAI from "openai";
const client = new OpenAI({
  apiKey: "prysm_sk_...",
  baseURL: "https://api.prysm1.com/v1",
});

Every chat.completions.create() call now routes automatically. Your code stays identical.

What just happened

When you send a prompt, PRYSM scores it across 10 signals in ~1 ms:

Signal	Example prompt	Best model tier
`simple`	”Translate ‘hello’ to French”	budget ($0.02–0.10/MTok)
`code`	”Write a binary search in Python”	mid ($0.25–0.50/MTok)
`reasoning`	”Prove that √2 is irrational”	premium ($0.55–3.00/MTok)
`multimodal`	Image + “Describe this chart”	specialist
`realtime`	”Latest news on AI chips”	Perplexity Sonar
`analysis`	”Analyze Q4 earnings vs. forecast”	quality mode (multi-model)

Typical distribution in a production app: ~60% simple, ~30% code/mid, ~10% frontier. That mix costs **

0.28–0.50/MTok blended** instead of

5–21/MTok for all-frontier.

Verify routing in the response

Every PRYSM response adds three fields under prysm:

response = client.chat.completions.create(
    model="auto",  # let PRYSM decide
    messages=[{"role": "user", "content": "What is 2 + 2?"}],
)

ext = response.model_extra  # or response.choices[0].message.model_extra
print(ext["prysm"]["routing"]["model"])    # "gpt-5-nano"
print(ext["prysm"]["cost"]["total_usd"])   # 0.0000003
print(ext["prysm"]["proof"])               # "sha256:a1b2c3d4e5f6..."

Dry-run before committing

Use /v1/route to see which model PRYSM would pick for a prompt — no tokens consumed:

curl https://api.prysm1.com/v1/route \
  -H "Authorization: Bearer prysm_sk_..." \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Summarize this article in 3 bullets"}'

{
  "model": "deepseek-v4-flash",
  "tier": "budget",
  "mode": "agility",
  "estimated_cost_usd": 0.0000094,
  "signals": ["write", "simple"],
  "why": "Short-form writing, no reasoning required"
}

Real savings estimate

Use /v1/savings to quantify what you’d save given your current usage:

import httpx, os

r = httpx.post(
    "https://api.prysm1.com/v1/savings",
    headers={"Authorization": f"Bearer {os.environ['PRYSM_API_KEY']}"},
    json={
        "monthly_requests": 100_000,
        "avg_input_tokens": 500,
        "avg_output_tokens": 300,
        "current_model": "gpt-4o",
    },
)
s = r.json()
print(f"Current cost:  ${s['current_monthly_usd']:.2f}/mo")
print(f"PRYSM cost:    ${s['prysm_monthly_usd']:.2f}/mo")
print(f"Monthly saving: ${s['saving_usd']:.2f} ({s['saving_pct']:.0f}%)")

Get your key in 30 seconds — sign up at prysm1.com, get a prysm_sk_* key, and your first 1,000 requests are free.

​The one-line change

​What just happened

​Verify routing in the response

​Dry-run before committing

​Real savings estimate

The one-line change

What just happened

Verify routing in the response

Dry-run before committing

Real savings estimate