Circuit Breaker for AI Agents

Documentation

Integration guides, best practices, and migration support for deploying deterministic guardrails on AI agents.

Complete Documentation Available to Design Partners
Full technical documentation, API reference, policy syntax guide, and code examples are provided to design partners under NDA. Public documentation focuses on integration concepts and use cases.
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Integration GuidesMigration Support

Integration Approaches

FuseGov deploys as a transparent governance layer without modifying your existing AI agent code.

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Sidecar Container

Deploy FuseGov alongside your AI agent containers in Kubernetes. Intercepts outbound API calls and database queries transparently.

✓ Zero code changes required
✓ Co-located for low latency
✓ Works with any agent framework
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Network Proxy

Deploy FuseGov as a network proxy. AI agents and automation scripts connect through FuseGov to reach protected endpoints.

✓ Centralized deployment
✓ Simple connection string update
✓ Works with legacy systems
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Cloud Extension

Native integrations for AWS Lambda, Azure Functions, and GCP Cloud Run. Deploys as platform extension for serverless agents.

✓ Platform-native deployment
✓ Automatic SDK interception
✓ Managed scaling

Supported Endpoint Types

Agent Frameworks

• LangChain
• AutoGPT
• CrewAI
• Custom agents
• OpenAI Assistants API

Cloud Platforms

• AWS (S3, Lambda, EC2, RDS)
• Azure (Blob, Functions, VMs)
• Google Cloud (Storage, Functions)
• On-premise infrastructure

Databases

• PostgreSQL / MySQL
• MongoDB / Redis
• SQL Server / Oracle
• Pinecone (vector DB)
• Weaviate (vector DB)

APIs & Services

• REST APIs
• GraphQL
• Payment APIs (Stripe, PayPal)
• Email services (SendGrid)
• Trading APIs (FIX protocol)

Integration Examples

High-level integration patterns for common scenarios. Complete technical documentation provided to design partners.

RECOMMENDED START

AI Agent Governance

LangChain, AutoGPT, CrewAI tool call enforcement

⏱️ ~30 min
Fastest path to production: No SDK required, no code changes needed. Deploy as a sidecar and start enforcing policies in minutes.

Integration Overview

Deploy as sidecar - works with any agent framework (LangChain, AutoGPT, custom agents)
Intercept tool calls transparently before they reach APIs, databases, or cloud services
Context-aware policies based on conversation state, user permissions, and semantic intent
Zero latency impact - sub-millisecond deterministic checks, semantic analysis only when needed
Example Governance Scenarios:
• Prevent data exfiltration via prompt injection attacks
• Enforce query scoping to authorized customer records only
• Block access to sensitive database fields (PII, credentials, payment info)
• Require approval for bulk operations, mass emails, or high-value payments
• Detect and block hallucinated API calls (duplicate payments, invalid operations)
Design partners receive: Framework-specific integration guides, prompt injection defense patterns, agent policy templates, and sample governance rules

Cloud Services Integration

AWS, Azure, GCP governance via platform extensions

⏱️ ~1 hour

Integration Overview

Deploy FuseGov extension to Lambda functions, Azure Functions, or Cloud Run instances
Configure governance policies for cloud resource actions (provision, delete, modify)
Zero application changes - SDK calls are automatically intercepted
Example Governance Scenarios:
• Prevent production resource deletion without approval
• Enforce cost velocity limits on instance provisioning (prevent runaway bills)
• Require security review for IAM policy changes
• Block cross-region data transfers to unauthorized locations
• Detect anomalous provisioning patterns (potential attack or bug)
Design partners receive: Platform-specific deployment guides, policy templates for cost control and security, troubleshooting documentation

Database Governance

SQL/NoSQL query interception and policy enforcement

⏱️ ~1 hour

Integration Overview

Deploy FuseGov proxy between applications/agents and database servers
Update connection strings to route through FuseGov (no code changes required)
Configure query policies for dangerous operations and data protection
Example Governance Scenarios:
• Block mass delete/update operations without DBA approval
• Require WHERE clauses on all destructive operations
• Enforce maintenance windows for schema changes
• Prevent expensive queries without proper indexes
• Redact PII fields from agent query results automatically
Design partners receive: Database-specific proxy configurations, query analysis tools, PII detection patterns, policy examples

Governance Policy Concepts

High-level overview of policy structure. Complete policy syntax reference provided to design partners.

Policy Components

Trigger Conditions
Define when a policy applies based on action type, parameters, context, or patterns
Enforcement Actions
Immediate block, require approval, log-only, or custom workflows
Approval Workflows
Route to specific approvers, set timeouts, define fallback behavior
Contextual Rules
Time windows, user roles, system state, conversation context

Example Policy Scenarios

Cost Control
Block cloud provisioning when estimated hourly cost exceeds $500/hour threshold
Data Protection
Require DBA approval for database operations affecting more than 1,000 rows
Payment Safety
Block payments >$10K without CFO approval, detect duplicate invoice payments
Agent Boundaries
Enforce query scoping to session context, block access to unauthorized customer data

Migration Support

Switching from existing governance approaches? We provide migration guidance and support.

From SDK-Based Solutions

Migrate from Guardrails AI, NeMo Guardrails, or custom SDK implementations

Why network-layer is better: SDK-based solutions require embedding validation logic in every agent codebase. Network-layer enforcement works transparently without code changes and can't be bypassed.
Remove SDK dependencies from agent code
Map validation rules to FuseGov policies
Deploy network-layer enforcement
Expand coverage beyond LLM outputs to all tool calls and API actions
Typical timeline: 1-2 days for initial migration

From Logging-Only Approaches

Move from reactive SIEM/logging to proactive enforcement

Keep existing SIEM - FuseGov exports audit records (CTR format)
Convert log alerts to enforcement policies (prevent vs. detect)
Start in shadow mode for validation period
Gradually enable enforcement with team buy-in
Typical timeline: 1 week shadow mode + 2 weeks rollout

From Custom Governance Code

Replace homegrown solutions with production-grade platform

Document existing governance logic and edge cases
Map custom rules to declarative policies (no more imperative code)
Run in parallel during validation to ensure parity
Deprecate custom code incrementally as confidence builds
Typical timeline: 2-6 weeks based on complexity

Starting from Scratch

Best practices for first-time governance deployment

Start with AI agents - fastest path to value (30 min integration)
Begin with basic safety policies (cost limits, PII protection)
Learn from audit records and refine policies over time
Expand coverage incrementally (databases, cloud, APIs)
Typical timeline: 1-2 days first endpoint, then expand

Performance & Best Practices

Optimize FuseGov deployment for minimal overhead and maximum reliability.

Target Performance

Typical overhead:<2%
Decision latency (p50):Sub-millisecond
Throughput per instance:10K+ actions/sec
Scalability:Horizontal

Deployment Recommendations

✓ Co-locate with AI agents for low latency
✓ Use sidecar pattern in Kubernetes
✓ Deploy regional policy servers
✓ Enable local policy caching
✓ Monitor decision latency metrics

Design Partner Support

Design partners receive dedicated performance tuning sessions, architecture review, and optimization guidance from our engineering team.

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Additional Resources

Product Architecture

How two-stage enforcement works, performance benchmarks, technical diagrams

Use Cases

Real-world scenarios across fintech, SaaS, healthcare, and cloud infrastructure

Technical Whitepaper

23-page provisional architecture overview and deployment guide (PDF)

Ready to Deploy Deterministic Guardrails?

Design partners receive complete technical documentation, hands-on deployment support, and direct engineering access.

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5 spots remaining • Waived implementation fee (Q1-Q2 2025) • 50% production discount