Admin Gate
:8000Django control plane: UI + API for policies, audit, billing, RBAC, API tokens, alert settings, and service instances.
AI agent / LLM client -> llm-gate / agent-gate -> active policy (admin-gate) + service registry -> target LLM / enterprise integration
Python 3.11+ · Django 5 · FastAPI · PostgreSQL · Redis
Django control plane: UI + API for policies, audit, billing, RBAC, API tokens, alert settings, and service instances.
OpenAI-compatible data plane: /v1/chat/completions, /metrics, /health. Policy checks, JWT auth, rate limits, redaction, audit.
Agent integration data plane: /proxy/{integration_id}/{path} and /mcp/{integration_id}. Routing and auth come from admin-gate.
Recommendation service: /suggest. Analyzes events and active policy to suggest control and cost optimizations.
Policy DSL + rules engine for redacting secrets, PII, and sensitive attributes before requests leave the perimeter.
Event pipeline and JSON logs with correlation_id: who called what and what happened. Export, alerts, and /health /ready checks.
Secrets, API keys, passwords detected and blocked before sending.
Personal data masked in real time. GDPR / FZ-152 compliant.
Prompt analysis for bypass attempts and malicious instructions.
Rate limiting, token quotas and request limits per agent.
Metrics visualization: traffic, blocks, token cost, agent activity in real time.
Flexible rules per agent: allowed models, request limits, content filtering.
API key management: issue, revoke, rotate. Multi-level access rights.
Automated security and usage reports. PDF, CSV export.
Six practical scenarios most teams solve first when launching and scaling AIGate.
Monitor and optimize language-model API spending with budget limits, token tracking, and department-level controls.
Automatically detect and mask secrets, personal data, and trade secrets before requests are sent to LLMs.
Full request/response logging with actor traceability and SIEM-friendly transparency for security teams.
Centralized rules for allowed models, restricted topics, and context boundaries aligned with corporate security.
One API for all models with routing, provider failover, and load balancing across your AI stack.
Developers connect to models through one gateway without sharing personal provider tokens. Keys stay centralized, leakage risks are reduced by policy, and every request remains auditable.
Yes. Our specialists can show you AIGate in a demo session at a convenient time.
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Yes. The platform shows who uses AI, what is happening across agent and LLM traffic, and how much it costs the company.
Yes. Policies define which data can be read, which can be changed, and which operations must be blocked immediately.
Secrets and passwords are detected and blocked before a request is sent. Personal data is masked in line with regulatory requirements. AIGate also detects attempts to bypass restrictions and blocks malicious instructions.