FailWatch is an innovative Python SDK designed to enhance the safety and reliability of AI agents by preventing dangerous actions such as unauthorized transactions and harmful decision-making through effective interception. By acting as an essential circuit breaker within production pipelines, FailWatch implements real-time safety measures to uphold operational integrity.

Core Functionality

FailWatch empowers organizations to enforce stringent safety protocols on AI agents, mitigating risks associated with erroneous actions that can lead to significant financial and operational disruptions. Here’s how it achieves this:

1. Real-Time Policy Enforcement

FailWatch blocks harmful actions based on deterministic checks without reliance on large language model (LLM) guessing. The policies can include numeric limits, regex patterns, and business rules. For example:

policy = {
    "limit": 1000,
    "allowed_accounts": ["checking", "savings"],
    "forbidden_keywords": ["delete_all", "drop_table"]
}

2. Fail-Closed Design

In case of server downtime or unresponsive behavior, FailWatch defaults to blocking actions to ensure that assets remain secure.

3. Human Oversight

Actions that fall in a gray area trigger alerts for human review through Slack, email, or command-line interface (CLI) before execution occurs, ensuring an additional layer of safety.

4. Comprehensive Audit Trail

Every decision made is logged with unique identifiers (trace_id and decision_id), facilitating compliance documentation and post-incident investigations, making the framework ideal for industries that require audit readiness.

5. Speed and Efficiency

Deterministic checks are executed extremely quickly, with average latencies below 50 milliseconds, ensuring that the checks do not introduce significant delays in operations.

Use Cases

FailWatch is suitable for various sectors including:

• Financial Services: Block unauthorized transactions and enforce dual approval for high-value transfers.
• E-commerce: Prevent excessive or erroneous refunds and validate discount codes before application.
• DevOps: Safeguard against destructive database modifications and require confirmations for critical infrastructure changes.
• Healthcare: Maintain compliance with privacy regulations and restrict unauthorized modifications of sensitive data.