Production Monitoring for AI Agents

Find the traces that matter.

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Flag unmet user requests. Detect issues. Iterate faster.

from openai import OpenAI
from playgent import record, wrap_openai

client = wrap_openai(OpenAI())

@record
def inference(user_input: str):
    response = client.responses.create(...)
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Works with your agent stack

Easy Instrumentation

Add one decorator. Wrap your client. That's it.

from openai import OpenAI
from playgent import record, wrap_openai

client = wrap_openai(OpenAI())

@record
def inference(user_input: str):
    response = client.responses.create(
        model="gpt-4",
        input=[{"role": "user", "content": user_input}]
    )
    return response.output_text
Automatically Detect Issues

Playgent monitors your agent in production and automatically flags sessions where users struggle or agents fail to accommodate requests.

Incident Dashboard

Automatically identify and flag incidents where your agent struggles or fails to meet user needs

Observability Dashboard

Track tokens, costs, latency, and performance metrics with built-in observability

Pricing

Starter

$0/month

  • 100 analyzed traces
  • Tracing and metrics
  • Incident detection
Start Free
POPULAR

Hacker

$29/month

  • Everything in Starter
  • 1,000 analyzed traces/month
  • Email support
Start Hacker

Startup

$99/month

  • Everything in Hacker
  • 10,000 analyzed traces/month
  • Private Slack channel
  • Team (5 seats)
Start Startup

Enterprise

Custom

  • Everything in Startup
  • Custom incident detection
  • Custom tracing and metrics
  • Custom alerts
Contact Sales