diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..04ad18820c66d89e64a8750edbbe95785419c607
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,13 @@
+node_modules
+dist
+.DS_Store
+server/public
+vite.config.ts.*
+*.tar.gz
+.agent_state*
+.vscode
+.latest*
+rapid*
+ac4a*
+*.bin
+*.gguf
diff --git a/.replit b/.replit
new file mode 100644
index 0000000000000000000000000000000000000000..adcfadc85500604d8f275e7e2219e3fbe623e9cc
--- /dev/null
+++ b/.replit
@@ -0,0 +1,39 @@
+modules = ["nodejs-20", "web", "postgresql-16"]
+run = "npm run dev"
+hidden = [".config", ".git", "generated-icon.png", "node_modules", "dist"]
+
+[nix]
+channel = "stable-24_05"
+
+[deployment]
+deploymentTarget = "autoscale"
+build = ["npm", "run", "build"]
+run = ["npm", "run", "start"]
+
+[[ports]]
+localPort = 5000
+externalPort = 80
+
+[env]
+PORT = "5000"
+
+[workflows]
+runButton = "Project"
+
+[[workflows.workflow]]
+name = "Project"
+mode = "parallel"
+author = "agent"
+
+[[workflows.workflow.tasks]]
+task = "workflow.run"
+args = "Start application"
+
+[[workflows.workflow]]
+name = "Start application"
+author = "agent"
+
+[[workflows.workflow.tasks]]
+task = "shell.exec"
+args = "npm run dev"
+waitForPort = 5000
diff --git a/LICENSE.md b/LICENSE.md
new file mode 100644
index 0000000000000000000000000000000000000000..07340b73d2d326c522f70c7547af4c879824ad2f
--- /dev/null
+++ b/LICENSE.md
@@ -0,0 +1,201 @@
+ Apache License
+ Version 2.0, January 2004
+ http://www.apache.org/licenses/
+
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+1. Definitions.
+
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diff --git a/attached_assets/Pasted-Here-s-a-high-to-medium-level-outline-formatted-roadmap-for-turning-your-existing-embeddinggemma-30-1757473542795_1757473542795.txt b/attached_assets/Pasted-Here-s-a-high-to-medium-level-outline-formatted-roadmap-for-turning-your-existing-embeddinggemma-30-1757473542795_1757473542795.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0cbb6cf670b4752b511d29c29fc4a88212e16bff
--- /dev/null
+++ b/attached_assets/Pasted-Here-s-a-high-to-medium-level-outline-formatted-roadmap-for-turning-your-existing-embeddinggemma-30-1757473542795_1757473542795.txt
@@ -0,0 +1,82 @@
+Here’s a high-to-medium-level, outline-formatted roadmap for turning your existing embeddinggemma-300m setup into a unified CLI tool powered by Phi-2. No code snippets—just clear steps and gap-checks.
+
+1. Define Your Modular Surface
+Embedder
+
+Uses google/embeddinggemma-300m to turn text into vectors
+
+Retriever
+
+Indexes and searches embeddings (e.g., FAISS or Chroma)
+
+Generator
+
+Runs Phi-2 (2.7 B) for response generation based on retrieved context
+
+CLI
+
+Ties everything together with a command-line interface (e.g., Typer)
+
+2. Prepare Your Conda Environment
+Confirm sentence-transformers and transformers are installed
+
+Add your vector store library (FAISS/Chroma)
+
+Install any quantization/runtime helpers for Phi-2 (GGUF, bitsandbytes, etc.)
+
+Allocate model cache paths under your project (e.g., ./models/)
+
+3. Acquire and Optimize Phi-2
+Download the Phi-2 weights from Hugging Face or Azure AI Studio
+
+Quantize to Q4/Q5 to fit within ~6–8 GB of RAM on your i5/16 GB rig
+
+Validate loading speed and memory footprint in isolation before integration
+
+4. Sketch Your Data Flow
+User Input: typed command + query text
+
+Embedding: call Gemma → vector
+
+Retrieval: query vector → top-k document vectors
+
+Context Assembly: stitch retrieved snippets
+
+Generation: feed context + user prompt into Phi-2 → text answer
+
+Output: print or save response
+
+5. Fill Logic Holes
+You need a vector store backend; plain in-memory lists won’t scale
+
+Chunk larger documents before embedding (e.g., 500 token windows)
+
+Watch Phi-2’s context window (typically ~2 K tokens) and trim if needed
+
+Plan caching: don’t re-embed the same files on every run
+
+Design a config file for model paths, thresholds, and CLI defaults
+
+6. Organize Your Directory
+Code
+gemma-phi2-cli/
+├── models/
+│ ├── embeddinggemma-300m/
+│ └── phi2-quantized/
+├── data/
+│ └── index/ # FAISS/Chroma files
+├── src/
+│ ├── embedder.py # wraps Gemma
+│ ├── retriever.py # builds & queries index
+│ ├── generator.py # wraps Phi-2
+│ └── cli.py # Typer entry point
+├── config.yaml # model locations, hyperparams
+└── README.md
+7. Plan Your CLI Commands
+init → create or update index from a target directory
+
+search → semantic lookup, returns file names + scores
+
+ask → retrieval + generation in one step
+
+serve → optional local API for integrations
\ No newline at end of file
diff --git a/cli.py b/cli.py
new file mode 100644
index 0000000000000000000000000000000000000000..4adf806cb8c69c6bcf04658047f5f9b3c00b8634
--- /dev/null
+++ b/cli.py
@@ -0,0 +1,100 @@
+import typer
+
+from src.embedder import embed_documents
+from src.retriever import search_documents
+from src.generator import generate_commit_message, fallback_commit_message
+from src.diff_analyzer import get_staged_diff_chunks
+from src.config_loader import load_config
+
+
+# Initialize Typer app
+app = typer.Typer()
+config = load_config("config.yaml")
+print("Config loaded:", config)
+
+
+# ===== CLI Commands =====
+# `init` — Index Documents
+@app.command()
+def init(path: str = typer.Argument(...)):
+ embeddings = embed_documents(path, config)
+ if embeddings:
+ typer.echo(f"Documents indexed successfully: {len(embeddings)} documents")
+ else:
+ typer.echo("No documents were indexed.")
+
+
+# `search` — Semantic Lookup
+@app.command()
+def search(query: str):
+ """
+ Perform a semantic search on indexed documents.
+
+ Args:
+ query (str): The search query string.
+ """
+ results = search_documents(query, config)
+ for i, result in enumerate(results):
+ typer.echo(f"[{i+1}] {result}")
+
+
+# `ask` — Retrieval-Augmented Generation (RAG)
+@app.command()
+def ask(query: str):
+ """
+ Perform a retrieval-augmented generation (RAG) process to answer a user query.
+
+ Args:
+ query (str): The user query string.
+ """
+ context = search_documents(query, config)
+ prompt = "\n".join(context) + f"\n\nUser question: {query}"
+ try:
+ response = generate_commit_message(prompt, config)
+ except (
+ RuntimeError
+ ): # Replace with the specific exception type raised by generate_commit_message
+ response = fallback_commit_message([])
+ typer.echo(response)
+
+
+# `commit` — Git Diff + Message Generation
+@app.command()
+def commit(preview: bool = True, apply: bool = False, dry_run: bool = False):
+ """
+ Generate a commit message based on staged Git diff chunks.
+
+ Args:
+ preview (bool): If True, display the suggested commit message.
+ apply (bool): If True, apply the commit with the generated message.
+ dry_run (bool): If True, display staged files and chunks without generating a message.
+ """
+ file_list, diff_chunks = get_staged_diff_chunks()
+
+ if dry_run:
+ typer.echo(f"Files staged: {len(file_list)}")
+ typer.echo(f"Chunks: {len(diff_chunks)}")
+ typer.echo(
+ f"Estimated tokens: {sum(len(chunk.split()) for chunk in diff_chunks)}"
+ )
+ return
+
+ prompt = "\n".join(diff_chunks) + "\n\nGenerate a commit message:"
+ try:
+ message = generate_commit_message(prompt, config)
+ except Exception:
+ message = fallback_commit_message(file_list)
+
+ if preview:
+ typer.echo(f"Suggested commit message:\n{message}")
+ if apply:
+ import subprocess
+
+ subprocess.run(["git", "commit", "-m", message])
+
+
+from sentence_transformers import SentenceTransformer
+
+model = SentenceTransformer("./models/embeddinggemma-300m")
+emb = model.encode("Test string")
+print("Embedding shape:", emb.shape) # Should be (768,)
diff --git a/client/index.html b/client/index.html
new file mode 100644
index 0000000000000000000000000000000000000000..0d05af327082f583ac298ab6103296eee7a0b3fd
--- /dev/null
+++ b/client/index.html
@@ -0,0 +1,16 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/client/src/App.tsx b/client/src/App.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..77bf6836b1417ccae1192042eb5c545a33cfeef6
--- /dev/null
+++ b/client/src/App.tsx
@@ -0,0 +1,31 @@
+import { Switch, Route } from "wouter";
+import { queryClient } from "./lib/queryClient";
+import { QueryClientProvider } from "@tanstack/react-query";
+import { Toaster } from "@/components/ui/toaster";
+import { TooltipProvider } from "@/components/ui/tooltip";
+import Dashboard from "./pages/dashboard";
+import NotFound from "@/pages/not-found";
+
+function Router() {
+ return (
+
+
+
+
+ );
+}
+
+function App() {
+ return (
+
+
+