Orchestrate Your
Enterprise AI Intelligence
A powerful multi-tenant LLM proxy and AI gateway. Manage providers, enforce policies, track usage, and protect sensitive data — all through a single unified API.
One SDK for 100+ Models
Access every AI model through the OpenAI SDK. Switch providers by changing the model name — no code rewrites needed.
Plus 100+ more models from providers like: Mistral, Groq, Together AI, AWS Bedrock, Azure, and more
The Enterprise AI Problem
Without a centralized gateway, AI usage across your organization is invisible, uncontrolled, and risky.
AgentWatch as Your AI Gateway
A single, centralized control plane for all enterprise AI traffic — with full governance, observability, and cost control.
Deploy Any Way You Need
AgentWatch fits into your existing infrastructure — no rip-and-replace required.
- Works with OpenAI, Azure, Anthropic, Gemini & Cohere SDKs
- No code changes beyond the base URL and API key
- Immediate access to all governance features
- Cross-provider routing from any SDK format
- DNS or firewall redirect — zero application changes
- Captures 100% of AI traffic organization-wide
- Ideal for covering shadow AI and legacy applications
- PAC file or HTTP_PROXY env var support
- PAC file or forwarding rules route AI traffic
- Certificate trust chain integration
- Zscaler injects tenant identification headers
- Unified audit: network logs + AI audit trail
- Compatible with F5, NGINX, AWS ALB, HAProxy, Traefik
- Active-active HA with auto-scaling
- Docker / Kubernetes / ECS / OpenShift
- On-prem, private cloud, or edge — no vendor lock-in
Everything You Need to Govern AI
AgentWatch covers every dimension of enterprise AI governance out of the box.
Production Gateway Features
8 production-grade capabilities bringing full parity with Kong, Apigee, and Envoy — built natively with no external dependencies.
Zero Code Changes
Use your existing SDK. Just change the base URL and API key. AgentWatch speaks every native SDK format — no wrappers, no converters.
| SDK | Config Property | Base URL to Set | Auth Header |
|---|---|---|---|
| OpenAI | base_url |
https://your-agentwatch.example.com/v1 |
Authorization: Bearer |
| Azure OpenAI | azure_endpoint |
https://your-agentwatch.example.com |
api-key |
| Anthropic | base_url |
https://your-agentwatch.example.com |
x-api-key |
| Google Gemini | client_options.api_endpoint |
https://your-agentwatch.example.com |
x-goog-api-key or ?key= |
| Cohere | base_url |
https://your-agentwatch.example.com |
Authorization: Bearer |
Before & After AgentWatch
What changes when you add AgentWatch to your AI infrastructure.
- Direct API calls with no governance or oversight
- API keys scattered across every application
- No visibility into AI usage, latency, or costs
- Sensitive data sent to LLMs completely unscanned
- Single provider = single point of failure
- No per-user or per-team spending budgets
- Cannot audit AI interactions for compliance
- Empty or failed LLM responses go undetected
- Shadow AI invisible to IT and security teams
- All traffic through a governed, centralized gateway
- Centralized key management with rotation policies
- Full observability dashboards and real-time analytics
- DLP scanning on every single request and response
- Multi-provider failover and intelligent load balancing
- Granular budget controls per user, team, and department
- Complete audit trail ready for SOC2, HIPAA, GDPR
- Agentic workflows automatically enrich failed responses
- 100% AI visibility — no shadow AI possible