Platform Overview
The control plane your AI agents were missing
A single API endpoint that routes prompts, enforces data policy, and records cost - without changing your agent code.
Architecture
How it fits into your stack
Three layers of control
Routing, policy, and observability in one hop
Routing Layer
- Rule-based routing by model name, cost tier, or latency SLA
- Fallback chains if the primary vendor fails or times out
- Streaming response support for real-time agent workflows
- Per-request model override via API header
Policy Layer
- PII detection and masking before prompts leave the network
- Topic restriction by team namespace
- Data classification rules: public, internal, confidential
- Block-list and allow-list patterns per team
Observability Layer
- Per-agent cost metering with team attribution
- Latency histograms broken down by model and vendor
- Error rate by vendor and request type
- Export to CSV or push to SIEM via webhook endpoint
Integrations
Works with every LLM your teams already use
OpenAI
Anthropic
Azure OpenAI
Amazon Bedrock
Google Vertex AI
Cohere
Adding a new vendor takes one line of config. Contact us for integrations not listed here.