66 lines
3.8 KiB
Markdown
66 lines
3.8 KiB
Markdown
# LLM Proxy Code Review Plan
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## Overview
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The **LLM Proxy** project is a Rust-based middleware designed to provide a unified interface for multiple Large Language Models (LLMs). Based on the repository structure, the project aims to implement a high-performance proxy server (`src/`) that handles request routing, usage tracking, and billing logic. A static dashboard (`static/`) provides a management interface for monitoring consumption and managing API keys. The architecture leverages Rust's async capabilities for efficient request handling and SQLite for persistent state management.
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## Review Phases
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### Phase 1: Backend Architecture & Rust Logic (@code-reviewer)
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- **Focus on:**
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- **Core Proxy Logic:** Efficiency of the request/response pipeline and streaming support.
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- **State Management:** Thread-safety and shared state patterns using `Arc` and `Mutex`/`RwLock`.
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- **Error Handling:** Use of idiomatic Rust error types and propagation.
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- **Async Performance:** Proper use of `tokio` or similar runtimes to avoid blocking the executor.
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- **Rust Idioms:** Adherence to Clippy suggestions and standard Rust naming conventions.
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### Phase 2: Security & Authentication Audit (@security-auditor)
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- **Focus on:**
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- **API Key Management:** Secure storage, masking in logs, and rotation mechanisms.
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- **JWT Handling:** Validation logic, signature verification, and expiration checks.
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- **Input Validation:** Sanitization of prompts and configuration parameters to prevent injection.
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- **Dependency Audit:** Scanning for known vulnerabilities in the `Cargo.lock` using `cargo-audit`.
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### Phase 3: Database & Data Integrity Review (@database-optimizer)
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- **Focus on:**
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- **Schema Design:** Efficiency of the SQLite schema for usage tracking and billing.
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- **Migration Strategy:** Robustness of the migration scripts to prevent data loss.
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- **Usage Tracking:** Accuracy of token counting and concurrency handling during increments.
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- **Query Optimization:** Identifying potential bottlenecks in reporting queries.
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### Phase 4: Frontend & Dashboard Review (@frontend-developer)
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- **Focus on:**
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- **Vanilla JS Patterns:** Review of Web Components and modular JS in `static/js`.
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- **Security:** Protection against XSS in the dashboard and secure handling of local storage.
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- **UI/UX Consistency:** Ensuring the management interface is intuitive and responsive.
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- **API Integration:** Robustness of the frontend's communication with the Rust backend.
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### Phase 5: Infrastructure & Deployment Review (@devops-engineer)
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- **Focus on:**
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- **Dockerfile Optimization:** Multi-stage builds to minimize image size and attack surface.
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- **Resource Limits:** Configuration of CPU/Memory limits for the proxy container.
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- **Deployment Docs:** Clarity of the setup process and environment variable documentation.
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## Timeline (Gantt)
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```mermaid
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gantt
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title LLM Proxy Code Review Timeline (March 2026)
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dateFormat YYYY-MM-DD
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section Backend & Security
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Architecture & Rust Logic (Phase 1) :active, p1, 2026-03-06, 1d
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Security & Auth Audit (Phase 2) :p2, 2026-03-07, 1d
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section Data & Frontend
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Database & Integrity (Phase 3) :p3, 2026-03-07, 1d
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Frontend & Dashboard (Phase 4) :p4, 2026-03-08, 1d
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section DevOps
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Infra & Deployment (Phase 5) :p5, 2026-03-08, 1d
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Final Review & Sign-off :2026-03-08, 4h
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```
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## Success Criteria
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- **Security:** Zero high-priority vulnerabilities identified; all API keys masked in logs.
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- **Performance:** Proxy overhead is minimal (<10ms latency addition); queries are indexed.
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- **Maintainability:** Code passes all linting (`cargo clippy`) and formatting (`cargo fmt`) checks.
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- **Documentation:** README and deployment guides are up-to-date and accurate.
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- **Reliability:** Usage tracking matches actual API consumption with 99.9% accuracy.
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