Enterprise Integration Patterns for Token Ninja

Enterprise deployments require careful integration with existing systems. This guide covers proven patterns from our customer base.

Integration Points

Token Ninja integrates at multiple levels:

Agent Framework Integration

We provide SDKs for major frameworks:

• LangChain
• AutoGPT
• Custom frameworks via REST API

from tokenninja import TokenManager

manager = TokenManager(api_key="...")
with manager.track_task("analysis"):
    result = agent.run(task)

Infrastructure Integration

For platform-level optimization:

• Kubernetes operators for agent orchestration
• Terraform modules for infrastructure provisioning
• Prometheus exporters for monitoring integration

Business System Integration

Connect to existing tools:

• SSO via SAML/OIDC
• Cost data export to finance systems
• Alerts to PagerDuty, Slack, Teams

Reference Architectures

Cloud-Native Deployment

[Agents] → [Token Ninja Gateway] → [LLM Providers]
              ↓
         [Metrics Store] → [Dashboards]
              ↓
         [Finance Export]

Hybrid Deployment

For on-premises agent infrastructure with cloud LLMs:

[On-Prem Agents] → [Token Ninja Edge] → [Cloud Gateway] → [LLMs]
                         ↓
                   [Local Metrics]

Security Considerations

Enterprise deployments require:

• Data residency controls
• Audit logging
• Role-based access control
• API key rotation

Token Ninja is SOC 2 Type II certified and supports enterprise security requirements.

Deployment Timeline

Typical enterprise deployment:

Our enterprise team provides dedicated support throughout deployment.