700 lines
25 KiB
Markdown
700 lines
25 KiB
Markdown
# Agent Booster: Technical Architecture
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## 🏛️ System Architecture
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```
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┌─────────────────────────────────────────────────────────────────┐
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│ User Application │
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│ (Agentic-flow, CLI, NPM SDK, or Direct API) │
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└────────────────────┬────────────────────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ JavaScript/TypeScript Layer │
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│ │
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│ ┌──────────────────┐ ┌──────────────────┐ │
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│ │ Auto-Detection │────────▶│ Native Addon │ (Node.js) │
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│ │ Loader │ │ (via napi-rs) │ │
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│ └──────────────────┘ └──────────────────┘ │
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│ │ │ │
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│ │ │ │
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│ ▼ ▼ │
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│ ┌──────────────────┐ ┌──────────────────┐ │
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│ │ WASM Module │ │ Core Rust API │ │
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│ │ (wasm-bindgen) │────────▶│ │ │
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│ └──────────────────┘ └──────────────────┘ │
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└───────────────────────────────────┬─────────────────────────────┘
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│
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▼
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┌─────────────────────────────────────────────────────────────────┐
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│ Rust Core Library │
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│ (agent-booster crate) │
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│ │
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│ ┌────────────────────────────────────────────────────────────┐ │
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│ │ Parser Module │ │
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│ │ ┌──────────────────┐ ┌──────────────────┐ │ │
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│ │ │ Tree-sitter │ │ Language │ │ │
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│ │ │ Integration │ │ Grammars │ │ │
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│ │ └──────────────────┘ └──────────────────┘ │ │
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│ │ │ │ │ │
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│ │ └──────────┬───────────┘ │ │
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│ │ ▼ │ │
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│ │ ┌─────────────────────┐ │ │
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│ │ │ AST Extraction │ │ │
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│ │ │ & Chunking │ │ │
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│ │ └─────────────────────┘ │ │
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│ └────────────────────────────────────────────────────────────┘ │
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│ │ │
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│ ▼ │
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│ ┌────────────────────────────────────────────────────────────┐ │
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│ │ Embeddings Module │ │
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│ │ ┌──────────────────┐ ┌──────────────────┐ │ │
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│ │ │ ONNX Runtime │ │ Model Manager │ │ │
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│ │ │ Inference │ │ (Download/Cache)│ │ │
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│ │ └──────────────────┘ └──────────────────┘ │ │
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│ │ │ │ │ │
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│ │ └──────────┬───────────┘ │ │
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│ │ ▼ │ │
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│ │ ┌─────────────────────┐ │ │
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│ │ │ Tokenization │ │ │
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│ │ │ & Embedding │ │ │
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│ │ └─────────────────────┘ │ │
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│ └────────────────────────────────────────────────────────────┘ │
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│ │ │
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│ ▼ │
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│ ┌────────────────────────────────────────────────────────────┐ │
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│ │ Vector Search Module │ │
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│ │ ┌──────────────────┐ ┌──────────────────┐ │ │
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│ │ │ HNSW Index │ │ Similarity │ │ │
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│ │ │ (in-memory) │ │ Metrics │ │ │
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│ │ └──────────────────┘ └──────────────────┘ │ │
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│ │ │ │ │ │
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│ │ └──────────┬───────────┘ │ │
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│ │ ▼ │ │
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│ │ ┌─────────────────────┐ │ │
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│ │ │ K-NN Search │ │ │
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│ │ │ & Ranking │ │ │
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│ │ └─────────────────────┘ │ │
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│ └────────────────────────────────────────────────────────────┘ │
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│ │ │
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│ ▼ │
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│ ┌────────────────────────────────────────────────────────────┐ │
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│ │ Merge Module │ │
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│ │ ┌──────────────────┐ ┌──────────────────┐ │ │
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│ │ │ Strategy │ │ Confidence │ │ │
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│ │ │ Selector │ │ Scorer │ │ │
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│ │ └──────────────────┘ └──────────────────┘ │ │
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│ │ │ │ │ │
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│ │ └──────────┬───────────┘ │ │
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│ │ ▼ │ │
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│ │ ┌─────────────────────┐ │ │
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│ │ │ Code Application │ │ │
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│ │ │ & Validation │ │ │
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│ │ └─────────────────────┘ │ │
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│ └────────────────────────────────────────────────────────────┘ │
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└─────────────────────────────────────────────────────────────────┘
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```
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## 📦 Crate Structure
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### Core Library (`agent-booster`)
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```rust
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// Public API
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pub struct AgentBooster {
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parser: Parser,
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embedder: Embedder,
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config: Config,
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}
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impl AgentBooster {
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pub fn new(config: Config) -> Result<Self>;
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pub fn apply_edit(&mut self, request: EditRequest) -> Result<EditResult>;
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pub fn batch_apply(&mut self, requests: Vec<EditRequest>) -> Result<Vec<EditResult>>;
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}
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// Request/Response types
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pub struct EditRequest {
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pub original_code: String,
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pub edit_snippet: String,
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pub language: Language,
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pub options: EditOptions,
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}
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pub struct EditResult {
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pub merged_code: String,
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pub confidence: f32,
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pub strategy: MergeStrategy,
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pub metadata: EditMetadata,
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}
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// Configuration
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pub struct Config {
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pub model: EmbeddingModel,
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pub confidence_threshold: f32,
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pub max_chunks: usize,
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pub cache_embeddings: bool,
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}
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```
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### Native Addon (`agent-booster-native`)
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```rust
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use napi::bindgen_prelude::*;
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use napi_derive::napi;
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#[napi]
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pub struct AgentBoosterNative {
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inner: agent_booster::AgentBooster,
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}
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#[napi]
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impl AgentBoosterNative {
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#[napi(constructor)]
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pub fn new(config: Option<JsConfig>) -> Result<Self>;
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#[napi]
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pub async fn apply_edit(&mut self, request: JsEditRequest) -> Result<JsEditResult>;
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#[napi]
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pub async fn batch_apply(&mut self, requests: Vec<JsEditRequest>) -> Result<Vec<JsEditResult>>;
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}
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// JavaScript-compatible types
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#[napi(object)]
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pub struct JsConfig {
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pub model: Option<String>,
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pub confidence_threshold: Option<f32>,
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}
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#[napi(object)]
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pub struct JsEditRequest {
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pub original_code: String,
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pub edit_snippet: String,
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pub language: String,
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}
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#[napi(object)]
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pub struct JsEditResult {
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pub merged_code: String,
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pub confidence: f32,
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pub strategy: String,
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}
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```
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### WASM Bindings (`agent-booster-wasm`)
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```rust
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use wasm_bindgen::prelude::*;
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#[wasm_bindgen]
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pub struct AgentBoosterWasm {
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inner: agent_booster::AgentBooster,
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}
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#[wasm_bindgen]
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impl AgentBoosterWasm {
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#[wasm_bindgen(constructor)]
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pub fn new(config: JsValue) -> Result<AgentBoosterWasm, JsValue>;
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#[wasm_bindgen(js_name = applyEdit)]
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pub async fn apply_edit(&mut self, request: JsValue) -> Result<JsValue, JsValue>;
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#[wasm_bindgen(js_name = batchApply)]
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pub async fn batch_apply(&mut self, requests: JsValue) -> Result<JsValue, JsValue>;
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}
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```
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## 🧩 Module Breakdown
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### 1. Parser Module (`parser.rs`)
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**Responsibilities:**
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- Initialize tree-sitter parsers for supported languages
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- Parse source code into AST
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- Extract semantic chunks (functions, classes, methods, etc.)
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- Handle incremental parsing for performance
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**Dependencies:**
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- `tree-sitter`
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- `tree-sitter-{language}` for each supported language
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**Key Functions:**
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```rust
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pub struct Parser {
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parsers: HashMap<Language, TreeSitterParser>,
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}
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impl Parser {
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pub fn new() -> Self;
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pub fn parse(&mut self, code: &str, language: Language) -> Result<Tree>;
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pub fn extract_chunks(&self, tree: &Tree, code: &str) -> Vec<CodeChunk>;
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pub fn incremental_parse(&mut self, old_tree: &Tree, edits: &[InputEdit]) -> Result<Tree>;
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}
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pub struct CodeChunk {
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pub code: String,
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pub start_byte: usize,
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pub end_byte: usize,
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pub start_line: usize,
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pub end_line: usize,
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pub node_type: String,
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pub parent_type: Option<String>,
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pub complexity: u32,
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}
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```
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**Supported Languages (Priority Order):**
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1. JavaScript (MVP)
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2. TypeScript (MVP)
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3. Python
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4. Rust
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5. Go
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6. Java
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7. C/C++
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8. Ruby
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9. PHP
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10. C#
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### 2. Embeddings Module (`embeddings.rs`)
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**Responsibilities:**
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- Download and cache embedding models
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- Tokenize code into model inputs
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- Generate embeddings via ONNX Runtime
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- Manage multiple model variants
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**Dependencies:**
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- `ort` (ONNX Runtime for Rust)
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- `tokenizers` (HuggingFace tokenizers)
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- `reqwest` (for model downloads)
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**Key Functions:**
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```rust
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pub struct Embedder {
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session: ort::Session,
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tokenizer: Tokenizer,
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model_info: ModelInfo,
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}
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impl Embedder {
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pub fn new(model: EmbeddingModel) -> Result<Self>;
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pub fn embed(&self, text: &str) -> Result<Vec<f32>>;
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pub fn embed_batch(&self, texts: &[&str]) -> Result<Vec<Vec<f32>>>;
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pub fn dimension(&self) -> usize;
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}
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pub enum EmbeddingModel {
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JinaCodeV2, // 768 dim, best accuracy
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AllMiniLML6V2, // 384 dim, faster
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CodeBERT, // 768 dim, alternative
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Custom(PathBuf), // User-provided model
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}
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pub struct ModelInfo {
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pub name: String,
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pub dimension: usize,
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pub max_tokens: usize,
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pub download_url: String,
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}
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```
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**Model Management:**
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```rust
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pub struct ModelManager;
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impl ModelManager {
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pub fn download_model(model: &EmbeddingModel) -> Result<PathBuf>;
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pub fn get_cached_model(model: &EmbeddingModel) -> Option<PathBuf>;
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pub fn cache_dir() -> PathBuf; // ~/.cache/agent-booster/models/
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}
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```
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### 3. Vector Search Module (`vector.rs`)
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**Responsibilities:**
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- Build HNSW index from embeddings
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- Perform K-NN similarity search
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- Calculate similarity scores (cosine, dot product)
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- Rank results by confidence
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**Dependencies:**
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- `hnsw` or custom HNSW implementation
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- `ndarray` for vector operations
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**Key Functions:**
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```rust
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pub struct VectorIndex {
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index: Hnsw<f32>,
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metadata: Vec<ChunkMetadata>,
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dimension: usize,
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}
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impl VectorIndex {
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pub fn new(dimension: usize) -> Self;
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pub fn insert(&mut self, id: usize, vector: &[f32], metadata: ChunkMetadata);
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pub fn search(&self, query: &[f32], k: usize) -> Vec<SearchResult>;
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pub fn clear(&mut self);
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}
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pub struct SearchResult {
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pub chunk_id: usize,
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pub similarity: f32,
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pub metadata: ChunkMetadata,
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}
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pub struct ChunkMetadata {
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pub chunk: CodeChunk,
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pub embedding_cache: Option<Vec<f32>>,
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}
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// Similarity metrics
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pub fn cosine_similarity(a: &[f32], b: &[f32]) -> f32;
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pub fn dot_product(a: &[f32], b: &[f32]) -> f32;
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pub fn euclidean_distance(a: &[f32], b: &[f32]) -> f32;
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```
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### 4. Merge Module (`merge.rs`)
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**Responsibilities:**
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- Select merge strategy based on confidence
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- Apply edits to code
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- Validate syntax after merge
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- Generate confidence scores
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**Dependencies:**
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- Tree-sitter (for validation)
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**Key Functions:**
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```rust
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pub struct Merger {
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validator: SyntaxValidator,
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}
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impl Merger {
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pub fn new() -> Self;
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pub fn merge(&self, request: MergeRequest) -> Result<MergeResult>;
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}
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pub struct MergeRequest {
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pub original_code: String,
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pub edit_snippet: String,
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pub best_match: SearchResult,
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pub language: Language,
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}
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pub struct MergeResult {
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pub code: String,
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pub strategy: MergeStrategy,
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pub confidence: f32,
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}
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pub enum MergeStrategy {
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ExactReplace, // Replace entire matched chunk
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InsertBefore, // Insert before matched chunk
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InsertAfter, // Insert after matched chunk
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Append, // Append to end of file
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FuzzyReplace, // GumTree-based fuzzy merge
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}
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// Strategy selection
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pub fn select_strategy(similarity: f32, context: &MergeContext) -> MergeStrategy;
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// Confidence calculation
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pub fn calculate_confidence(
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similarity: f32,
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strategy: MergeStrategy,
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syntax_valid: bool,
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) -> f32;
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```
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**Merge Strategy Decision Tree:**
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```rust
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fn select_strategy(similarity: f32, chunk: &CodeChunk) -> MergeStrategy {
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match similarity {
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s if s >= 0.95 => MergeStrategy::ExactReplace,
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s if s >= 0.85 => {
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if chunk.node_type == "function_declaration" {
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MergeStrategy::ExactReplace
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} else {
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MergeStrategy::InsertAfter
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}
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},
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s if s >= 0.65 => MergeStrategy::InsertAfter,
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s if s >= 0.50 => MergeStrategy::FuzzyReplace,
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_ => MergeStrategy::Append,
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}
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}
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```
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## 🚀 Performance Optimizations
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### 1. Lazy Initialization
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```rust
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pub struct AgentBooster {
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parser: OnceCell<Parser>,
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embedder: OnceCell<Embedder>,
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config: Config,
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}
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impl AgentBooster {
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pub fn new(config: Config) -> Self {
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// Don't initialize parser/embedder until first use
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Self {
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parser: OnceCell::new(),
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embedder: OnceCell::new(),
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config,
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}
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}
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}
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```
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### 2. Embedding Caching
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```rust
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pub struct EmbeddingCache {
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cache: HashMap<u64, Vec<f32>>, // hash(code) -> embedding
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max_size: usize,
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}
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impl EmbeddingCache {
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pub fn get(&self, code: &str) -> Option<&Vec<f32>>;
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pub fn insert(&mut self, code: &str, embedding: Vec<f32>);
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pub fn clear(&mut self);
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}
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```
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### 3. Parallel Processing
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```rust
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use rayon::prelude::*;
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pub fn batch_apply(
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&mut self,
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requests: Vec<EditRequest>
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) -> Result<Vec<EditResult>> {
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requests
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.par_iter()
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.map(|req| self.apply_edit(req.clone()))
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.collect()
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}
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```
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### 4. Incremental Parsing
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```rust
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pub struct IncrementalParser {
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last_tree: Option<Tree>,
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last_code: String,
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}
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impl IncrementalParser {
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pub fn parse(&mut self, code: &str) -> Result<Tree> {
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if let Some(old_tree) = &self.last_tree {
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let edits = compute_edits(&self.last_code, code);
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self.parser.parse_incremental(code, old_tree, &edits)
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} else {
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self.parser.parse(code)
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}
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}
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}
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```
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## 🧪 Testing Strategy
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### Unit Tests
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```rust
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#[cfg(test)]
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mod tests {
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#[test]
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fn test_exact_match() {
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let booster = AgentBooster::new(Config::default()).unwrap();
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let result = booster.apply_edit(EditRequest {
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original_code: "function foo() { return 1; }",
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edit_snippet: "function foo() { return 2; }",
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language: Language::JavaScript,
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..Default::default()
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}).unwrap();
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assert_eq!(result.strategy, MergeStrategy::ExactReplace);
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assert!(result.confidence > 0.95);
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}
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}
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```
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### Integration Tests
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```rust
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#[test]
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fn test_real_world_edit() {
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let original = include_str!("../../fixtures/complex.ts");
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let edit = include_str!("../../fixtures/complex.edit.ts");
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let expected = include_str!("../../fixtures/complex.expected.ts");
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let result = apply_edit(original, edit, Language::TypeScript).unwrap();
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assert_eq!(result.code, expected);
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}
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```
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### Benchmark Tests
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```rust
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use criterion::{black_box, criterion_group, criterion_main, Criterion};
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fn benchmark_apply_edit(c: &mut Criterion) {
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let booster = AgentBooster::new(Config::default()).unwrap();
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c.bench_function("apply_simple_edit", |b| {
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b.iter(|| {
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booster.apply_edit(black_box(simple_request()))
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})
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});
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}
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criterion_group!(benches, benchmark_apply_edit);
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criterion_main!(benches);
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```
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## 🔒 Error Handling
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```rust
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#[derive(Debug, thiserror::Error)]
|
|
pub enum AgentBoosterError {
|
|
#[error("Failed to parse code: {0}")]
|
|
ParseError(String),
|
|
|
|
#[error("Failed to generate embedding: {0}")]
|
|
EmbeddingError(String),
|
|
|
|
#[error("No suitable merge location found (confidence: {0:.2})")]
|
|
LowConfidence(f32),
|
|
|
|
#[error("Merge resulted in invalid syntax")]
|
|
InvalidSyntax,
|
|
|
|
#[error("Unsupported language: {0}")]
|
|
UnsupportedLanguage(String),
|
|
|
|
#[error("Model not found: {0}")]
|
|
ModelNotFound(String),
|
|
|
|
#[error("IO error: {0}")]
|
|
IoError(#[from] std::io::Error),
|
|
}
|
|
|
|
pub type Result<T> = std::result::Result<T, AgentBoosterError>;
|
|
```
|
|
|
|
## 📊 Memory Management
|
|
|
|
### Memory Budget
|
|
```
|
|
Total memory target: < 500MB
|
|
|
|
Breakdown:
|
|
- ONNX model: 150-200MB (loaded once)
|
|
- Tokenizer: 20-30MB
|
|
- Tree-sitter: 10-20MB
|
|
- HNSW index: 50-100MB (per file, ephemeral)
|
|
- Working memory: 100-150MB
|
|
- Overhead: 20-50MB
|
|
```
|
|
|
|
### Cleanup Strategy
|
|
```rust
|
|
impl Drop for AgentBooster {
|
|
fn drop(&mut self) {
|
|
// Clear caches
|
|
self.embedding_cache.clear();
|
|
// Free ONNX session
|
|
// (handled by ort automatically)
|
|
}
|
|
}
|
|
```
|
|
|
|
## 🔄 Data Flow
|
|
|
|
```
|
|
Input: { original_code, edit_snippet, language }
|
|
│
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 1. Parse Original Code │
|
|
│ - Tree-sitter │
|
|
│ - Extract chunks (5-50) │
|
|
│ - Cache AST │
|
|
└─────────────────────────────────┘
|
|
│ CodeChunk[]
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 2. Generate Embeddings │
|
|
│ - Tokenize chunks │
|
|
│ - ONNX inference (batch) │
|
|
│ - Cache embeddings │
|
|
└─────────────────────────────────┘
|
|
│ Vec<Vec<f32>>
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 3. Build Vector Index │
|
|
│ - HNSW construction │
|
|
│ - In-memory only │
|
|
└─────────────────────────────────┘
|
|
│ VectorIndex
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 4. Embed Edit Snippet │
|
|
│ - Tokenize │
|
|
│ - ONNX inference │
|
|
└─────────────────────────────────┘
|
|
│ Vec<f32>
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 5. Vector Similarity Search │
|
|
│ - K-NN (k=5) │
|
|
│ - Cosine similarity │
|
|
│ - Rank by score │
|
|
└─────────────────────────────────┘
|
|
│ SearchResult[]
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 6. Select Merge Strategy │
|
|
│ - Analyze confidence │
|
|
│ - Consider context │
|
|
│ - Choose strategy │
|
|
└─────────────────────────────────┘
|
|
│ MergeStrategy
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 7. Apply Merge │
|
|
│ - String manipulation │
|
|
│ - Preserve formatting │
|
|
│ - Handle edge cases │
|
|
└─────────────────────────────────┘
|
|
│ String
|
|
▼
|
|
┌─────────────────────────────────┐
|
|
│ 8. Validate Syntax │
|
|
│ - Parse merged code │
|
|
│ - Check for errors │
|
|
│ - Calculate final confidence│
|
|
└─────────────────────────────────┘
|
|
│
|
|
▼
|
|
Output: { merged_code, confidence, strategy, metadata }
|
|
```
|
|
|
|
## 🎯 Future Enhancements
|
|
|
|
### Phase 2: Advanced Features
|
|
- [ ] Multi-file refactoring support
|
|
- [ ] Custom model fine-tuning pipeline
|
|
- [ ] LSP integration for better context
|
|
- [ ] Conflict resolution for concurrent edits
|
|
|
|
### Phase 3: Enterprise Features
|
|
- [ ] Team collaboration features
|
|
- [ ] Audit logging
|
|
- [ ] Custom security policies
|
|
- [ ] On-premise deployment
|
|
|
|
### Phase 4: AI Enhancements
|
|
- [ ] Learn from corrections
|
|
- [ ] Adaptive confidence thresholds
|
|
- [ ] Context-aware embeddings
|
|
- [ ] Cross-language refactoring
|