What problem does Histeeria solve?
Production AI agents fail in ways traditional logging misses:- They hallucinate with confidence
- They miss escalation when they should defer to humans
- They drift after prompt or model changes
- They break policy under adversarial input
What Histeeria does
| Capability | Description |
|---|---|
| Judgment monitoring | Stream inputs, outputs, and metadata from every agent turn |
| Evaluation engine | Score each decision on eight judgment dimensions with evidence |
| Agent profiles | Define role and policy context so scores match your use case |
| Alerts & inbox | Surface incidents, streaks, and mistakes needing review |
| Analytics & reports | Track safe-completion rate, trends, and dimension regressions |
| Public profiles | Share agent quality metrics with stakeholders |
Who is Histeeria for?
- Developers shipping LLM features to production
- AI startups that need trust and auditability
- Enterprise teams operating agents at scale
- Dev studios building agents for clients
How is Histeeria different from generic observability?
| Generic LLM tracing | Histeeria |
|---|---|
| Logs prompts and completions | Evaluates decision quality |
| Pass/fail or human review | Eight-dimension judgment scores |
| Developer debugging focus | Production reliability focus |
| Often high overhead | Zero-latency async SDK |
How to get started
Create account
Sign up free at app.histeeria.com
Quickstart
Connect your first agent in minutes
Python SDK
pip install histeeriaTypeScript SDK
npm install histeeriaFrequently asked questions
Is Histeeria free to start?
Is Histeeria free to start?
Yes. Create an account and connect one agent free. See Pricing tiers for plan details.
Does Histeeria work with any LLM provider?
Does Histeeria work with any LLM provider?
Yes. Histeeria is provider-agnostic — OpenAI, Anthropic, local models, and custom stacks. See Integrations.
Does the SDK slow down my agent?
Does the SDK slow down my agent?
No. Sends are async and fire-and-forget. See SDK overview.

