About Staso AI
Staso watches & evaluates every agent action, blocks mistakes before they happen, & fixes the patterns that cause them. firewall . Evals . Self - Heal . Observability.
Staso is the reliability layer for AI agents in production.
Example - Your agent refunded $X without approval. It called the same API 47 times, hallucinated mid-conversation. Observability shows you the damage after it happens. Staso refuses the call that causes it.
One platform, four capabilities
→ Runtime firewall - every tool call is evaluated before it executes. Block prompt injection, PII leakage, dangerous operations, destructive SQL, and custom rules.
→ Evaluations - curate datasets from real traces, run LLM and agentic evals with custom scorers, and measure against zero config / custom rules.
→ Self-heal - diagnose and autofix with trace, conversation, code & evaluation history as contexts.
→ Observability. Full execution tree across agents, tools, metrics, guard decisions, trace/conversation history in one view.
Every blocked action and confirmed failure feeds a pattern database tied to your agents. Detection gets sharper the longer you run it.
Drop-in integration: pip install staso, st.init(), patch_openai(). Works with best SDK's and CLI tools like Claude Code, and Codex. No decorators.
Built for engineering teams shipping agents this week, not next month.
Start free at https://staso.ai ✌🏼
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