Getting Started with Parmot

npm install parmot
# or
yarn add parmot

# Python
pip install parmot

# .env
PARMOT_API_KEY="parmot_your_api_key_here"
OPENAI_API_KEY="your_openai_api_key_here"

import { TrackedOpenAI } from "parmot";

const client = new TrackedOpenAI({
apiKey: process.env.OPENAI_API_KEY!,
parmotApiKey: process.env.PARMOT_API_KEY!,
});

const res = await client.chat.completions.create({
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Hello, world!" }],
user_id: "user_123",
});

console.log(res.choices[0].message?.content);

from parmot import TrackedOpenAI

client = TrackedOpenAI(
  api_key="your_openai_api_key",
  parmot_api_key="your_parmot_api_key"
)

res = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role":"user","content":"Hello, world!"}],
  user_id="user_123"
)

print(res.choices[0].message.content)

import { ParmotClient } from "parmot";

const parmot = new ParmotClient();

const plan = await parmot.createEndUserPlan({
name: "Pro",
monthly_token_limit: 1_000_000,
monthly_cost_limit: 50.0,
description: "Pro tier with 1M tokens/month",
});

await parmot.assignEndUserToPlan("user_123", "Pro");

const assignment = await parmot.getEndUserPlanAssignment("user_123");
console.log(assignment?.name); // "Pro"

from parmot import ParmotClient

parmot = ParmotClient()

plan = parmot.create_end_user_plan(
  name="Pro",
  monthly_token_limit=1_000_000,
  monthly_cost_limit=50.00,
  description="Pro tier with 1M tokens/month"
)

parmot.assign_end_user_to_plan("user_123", "Pro")
print(parmot.get_end_user_plan_assignment("user_123")?.name)

// TS
const user = await parmot.getEndUserUsageSummary("user_123");
const all  = await parmot.getEndUserUsageSummary();

# Python
user = parmot.get_end_user_usage_summary("user_123")
all  = parmot.get_end_user_usage_summary()

import {
TrackedOpenAI,
ParmotEndUserUsageLimitError,
ParmotEndUserRateLimitError,
} from "parmot";

const client = new TrackedOpenAI();

try {
await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "Hello!" }],
  user_id: "user_123",
});
} catch (err) {
if (err instanceof ParmotEndUserUsageLimitError) {
  // upgrade flow, show UI, etc.
} else if (err instanceof ParmotEndUserRateLimitError) {
  // respect err.retry_after
} else {
  // generic error path
}
}

from parmot import (
  TrackedOpenAI,
  ParmotEndUserUsageLimitError,
  ParmotEndUserRateLimitError,
)

client = TrackedOpenAI()

try:
  client.chat.completions.create(
      model="gpt-4o-mini",
      messages=[{"role":"user","content":"Hello!"}],
      user_id="user_123"
  )
except ParmotEndUserUsageLimitError as e:
  pass  # upgrade flow
except ParmotEndUserRateLimitError as e:
  pass  # wait e.retry_after
except Exception:
  pass

import { TrackedAnthropic } from "parmot";

const client = new TrackedAnthropic({
apiKey: process.env.ANTHROPIC_API_KEY!,
parmotApiKey: process.env.PARMOT_API_KEY!,
});

const resp = await client.messages.create({
model: "claude-3-5-haiku-20241022",
messages: [{ role: "user", content: "Hello!" }],
max_tokens: 100,
user_id: "user_123",
});
console.log(resp.content[0].text);

from parmot import TrackedCohere

client = TrackedCohere(
  api_key="your_cohere_api_key",
  parmot_api_key="your_parmot_api_key"
)

resp = client.chat(
  model="command-r-08-2024",
  messages=[{"role":"user","content":"Hello!"}],
  user_id="user_123"
)
print(resp.message.content[0].text)