Every AI dev eventually hits this wall:
json.decoder.JSONDecodeError: Expecting ',' delimiter
So you write a validator. Then another. Then you realize half your project is glue code just to catch malformed outputs.
1. The Validator Tax
Here's what "rolling your own" usually looks like:
- A dozen
try/except json.loads()
blocks - Manual type checks (
if not isinstance(data["age"], int)
) - Retry loops with
time.sleep
- Ad-hoc logging sprinkled everywhere
Now multiply that across every agent, every project. That's the validator tax.
2. What If It Were One Line?
Instead of reinventing validation every time, what if you could just do this:
from agent_validator import validate, Schema
schema = Schema({"name": str, "age": int})
result = validate(agent_output, schema, retries=2)
That's it.
3. Features That Replace Your Boilerplate
Agent Validator handles the ugly stuff for you:
- π Schema Validation β define with plain Python dicts
- π Automatic Retries β exponential backoff & timeouts
- π§ Type Coercion β
"42"
β 42,"true"
β True - π Logging β JSONL logs with automatic redaction
- βοΈ Dashboard β optional cloud monitoring for teams
4. CLI Included
Not just a library β it ships with a CLI:
# Validate inputs
agent-validator test schema.json input.json --mode COERCE
# View recent logs
agent-validator logs -n 20
5. For Indie Devs & Small Teams
- Free tier β SDK + local logs
- $9/mo Starter β indie devs get cloud logging & dashboard
- $29/mo Pro β small teams with alerts & templates
- $99/mo Team β larger projects with RBAC & analytics
6. TL;DR
Stop burning hours on custom validators.
Drop in one SDK, validate everything, move on.
π Install today:
pip install agent-validator
Top comments (1)
Work goals! Your dedication and talent are truly inspiring! What's the most exciting part of this new role?