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(...) Copied!
Works with your agent stack
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 Playgent monitors your agent in production and automatically flags sessions where users struggle or agents fail to accommodate requests.
Automatically identify and flag incidents where your agent struggles or fails to meet user needs
Track tokens, costs, latency, and performance metrics with built-in observability
Pricing
POPULAR
Hacker
$29/month
- ✓Everything in Starter
- ✓1,000 analyzed traces/month
- ✓Email support
Startup
$99/month
- ✓Everything in Hacker
- ✓10,000 analyzed traces/month
- ✓Private Slack channel
- ✓Team (5 seats)
Enterprise
Custom
- ✓Everything in Startup
- ✓Custom incident detection
- ✓Custom tracing and metrics
- ✓Custom alerts