Histeeria is the reliability layer for production AI agents. Teams use it to monitor agent decisions in real time, evaluate judgment across eight dimensions, receive alerts on mistakes, and improve agents before they fail in front of users. See What is Histeeria?.
Histeeria monitors agent behavior, scores decision quality on eight judgment dimensions, surfaces incidents and streaks, sends alerts, and provides analytics and public agent profiles so teams can trust and improve their agents in production.
OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, AutoGen, and custom agents through Python/TypeScript SDKs and REST API. See Integrations.
Create a free account at app.histeeria.com, connect an agent with the SDK or REST API, and send your first decision. Follow the Quickstart.
No. SDK calls are async and fire-and-forget. Your agent never waits on Histeeria’s API in the hot path.
The SDK fails silently — your agent keeps running. Enable debug locally to see transport errors.
No. Histeeria is provider-agnostic. Observe after any OpenAI, Anthropic, local, or custom model call.
Tracing tools show what happened in a prompt chain. Histeeria evaluates judgment quality — whether the agent decided well — with eight-dimension scoring in production. See LLM observability.
Decisions show in Monitoring immediately. Scores appear after async evaluation — often seconds to minutes, after warmup for new agents.
Yes. Use POST /v1/ingest with your API key from any language. See Ingest API.
Profile lives in the app (context for evaluation). agent_id is your runtime label in code. Link them via API keys.
You can start free at app.histeeria.com. See Pricing tiers and histeeria.com#pricing.
See Privacy Policy for current data handling terms.
Yes — enable Public profiles for a shareable analytics page.
Python and TypeScript/Node officially. Other languages via REST.
Create a new key, deploy, verify traffic, revoke old key. See API keys.