SecureLLM Bridge
Zero-Trust Gateway for Large Language Model Orchestration
Enterprise-grade proxy ensuring security, compliance, and observability for generative AI integrators.
π By The Numbersβ
| Metric | Value | Significance |
|---|---|---|
| Safety | Strict | 100% Rust-based memory safety guarantees |
| Scale | ~5k LOC | Modular Workspace with 5 decoupled crates |
| Performance | <1ms | Overhead per request (excluding LLM latency) |
| Compliance | 100% | Full audit trail of every input/output token |
π Strategic Valueβ
In a fragmented AI ecosystem, direct API consumption creates a chaotic attack surface. SecureLLM Bridge acts as a unified control plane, applying a "Defense-in-Depth" strategy to your AI infrastructure.
- π‘οΈ Zero-Trust Architecture: Authentication (mTLS) and Authorization (RBAC) are enforced before any request touches an LLM.
- π Full Observability: Unlike opaque client libraries, we provider comprehensive telemetry (Tracing, Metrics, Logs) compatible with OpenTelemetry.
- βοΈ Governance & Compliance: Enforce PII sanitization (Redaction) at the gateway level, ensuring sensitive data never leaves your perimeter.
- π Vendor Agnostic: Decouples your internal logic from specific providers (OpenAI, DeepSeek, Anthropic), preventing vendor lock-in.
ποΈ Architectureβ
The system utilizes a Cargo Workspace pattern to enforce separation of concerns between the core data models, security middleware, and provider adapters.
flowchart LR
Client[Internal Service] -->|mTLS| Gateway[SecureLLM Gateway]
subgraph Gateway [SecureLLM Bridge]
Auth[mTLS Auth] --> RateLimit[Rate Limiter]
RateLimit --> Audit[Audit Logger]
Audit --> Router{Provider Router}
Router -->|DeepSeek| DSAdapter[DeepSeek Adapter]
Router -->|OpenAI| OAAdapter[OpenAI Adapter]
Router -->|Local| OllamaAdapter[Ollama Adapter]
end
DSAdapter -->|HTTPS| DeepSeek[DeepSeek API]
OAAdapter -->|HTTPS| OpenAI[OpenAI API]
OllamaAdapter -->|HTTP| Ollama[Local Ollama]
Audit -.->|Async Write| SQLite[(Audit DB)]
β‘ Technical Stackβ
- Runtime: Rust (Tokio, Axum, Tower) for predictable latency and memory safety.
- Build System: Nix Flakes for bit-for-bit reproducible development environments.
- Containerization: Docker multi-stage builds optimized for minimal image size (Alpine based).
- Data Consistency: SQLite / Redis for state management and distributed rate limiting.
π οΈ Deploymentβ
Production (Docker)β
Designed for Kubernetes sidecar or standalone deployment.
docker run -d \
-p 3000:3000 \
-v $(pwd)/config:/app/config \
-e RUST_LOG=info \
securellm/bridge
Development (Nix)β
Enter a hermetic development shell with all dependencies (Rust, Cargo, OpenSSL, SQLite) pre-configured.
nix develop
cargo run --bin securellm
π‘οΈ Security Postureβ
- Audit Logging: Immutable record of all interactions.
- Secret Management: Integration with platform keyrings (Linux/macOS/Windows) via
keyringcrate. - Input Sanitization: Regex-based PII redaction pipeline.
π€ Contributingβ
Governance model follows standard Open Source best practices. See CONTRIBUTING.md.
π Licenseβ
Dual-licensed under MIT or Apache-2.0 to ensure maximum compatibility with enterprise legal requirements.