Make Your AI Agents Enforced, Secure & Self-Healing

AI agents ship to production with no runtime enforcement, no evaluation pipeline, no debugging tools, and no way to fix what breaks. We're building the infrastructure layer that handles all of it.

The Pipeline

Four layers. The full post-production cycle.

Enforce, evaluate, debug, fix. One platform covering runtime enforcement through automated remediation.

Enforce

Runtime Enforcement Firewall

Every tool call passes through a validation layer before execution. Business rules defined as code. Supports both deterministic rules and LLM-based reasoning. Each rule runs in audit-only or enforce mode.

Rules as codeAudit / EnforceSync & async

Evaluate

Input/Output Evaluation

Input: prompt injection, jailbreaks, PII leakage, credential exposure. Output: hallucinations, reasoning errors, context loss, false completion claims. Validated against an evidence cache.

Evidence cacheInjection detectionHallucination detection

Debug

Observability & Debugging

Execution traces, failure timelines, per-agent metrics. Automatic clustering of failure categories. Checkpoint replay lets you rewind to any failed step and resume with different inputs.

Execution tracesFailure clusteringCheckpoint replay

Fix

Self-Healing & RCA

Code-aware RCA classifies failures — bad prompt, wrong tool, hallucination, external dependency. Generates fix PRs. Agent checkpointing compares metrics before and after changes.

Code-aware RCAFix PRsRegression detection
How It Works

Add two decorators. Your agent code stays the same.

Python SDK with decorator-based tracing. Zero-code-change wrappers for OpenAI, Anthropic, and Google SDKs. Framework adapters for LangChain and Claude Agent SDK.

Works with
OpenAI
Anthropic
Google
LangChain
Claude Agent
main.py
from agentic_leash import AgenticLeash

leash = AgenticLeash(api_key="sk-...")

@leash.trace
def run_agent(query):
    return agent.run(query)

@leash.tool_call
def execute_action(tool, params):
    return tool.run(params)  # Now secured.
Early Access

We're building this now.

We're looking for design partners — teams running AI agents in production who need better infrastructure. Request early access and we'll be in touch.

FAQ

Frequently Asked Questions

Active development. We’re building the core enforcement and evaluation engine. Early design partners get access as modules ship.