diff --git a/.gitignore b/.gitignore
index 47a5797c99f95796ee499b64248097d9d2535c24..13c0423451f11dcf752ed2740951e937f8798914 100644
--- a/.gitignore
+++ b/.gitignore
@@ -28,3 +28,23 @@ __MACOSX/
.cache/
models/
**/*.onnx
+
+/docs/superpowers/**
+CLAUDE.md
+.claude/
+
+# Design artifacts
+stitch/
+stitch.zip
+index.html
+
+# Frontend (Next.js)
+frontend/.env.local
+frontend/.env*.local
+frontend/.next/
+frontend/out/
+frontend/node_modules/
+frontend/.vercel/
+frontend/npm-debug.log*
+frontend/yarn-debug.log*
+frontend/yarn-error.log*
\ No newline at end of file
diff --git a/Makefile b/Makefile
index 0d0a4023db407fd10484049496be61fdc8502464..835aef12b64e8ad9a1f4392dcd9b2f21dd95c348 100644
--- a/Makefile
+++ b/Makefile
@@ -1,4 +1,4 @@
-.PHONY: help install dev serve ingest lint format typecheck test test-cov e2e docker-up docker-down clean
+.PHONY: help install dev serve ingest lint format typecheck test test-cov e2e docker-up docker-down clean frontend-install frontend-dev frontend-build frontend-start frontend-lint frontend-typecheck
help:
@echo "CivicSetu — available commands:"
@@ -71,4 +71,23 @@ docker-down:
clean:
find . -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
find . -name "*.pyc" -delete 2>/dev/null || true
- find . -name ".pytest_cache" -exec rm -rf {} + 2>/dev/null || true
\ No newline at end of file
+ find . -name ".pytest_cache" -exec rm -rf {} + 2>/dev/null || true
+
+# Frontend
+frontend-install:
+ cd frontend && npm install
+
+frontend-dev:
+ cd frontend && npm run dev
+
+frontend-build:
+ cd frontend && npm run build
+
+frontend-start:
+ cd frontend && npm run start
+
+frontend-lint:
+ cd frontend && npm run lint
+
+frontend-typecheck:
+ cd frontend && npm run typecheck
diff --git a/README.md b/README.md
index 8a7217e4f148c2cad6fb642bf2a8c75d92854471..582f7cf7d74f0dd25f7ac82e8098df0dc484150e 100644
--- a/README.md
+++ b/README.md
@@ -134,6 +134,7 @@ make docker-down # Tear down containers
| RERA Act 2016 | Central | 224 |
| Maharashtra Real Estate Rules 2017 | Maharashtra | 214 |
| UP RERA Rules 2016 | Uttar Pradesh | 170 |
+| UP RERA General Regulations 2019 | Uttar Pradesh | 85 |
| Karnataka RERA Rules 2017 | Karnataka | 235 |
| Tamil Nadu RERA Rules 2017 | Tamil Nadu | 157 |
diff --git a/frontend/.env.production b/frontend/.env.production
new file mode 100644
index 0000000000000000000000000000000000000000..9b9f8a534521d982c74920d47e87c39116b1a60c
--- /dev/null
+++ b/frontend/.env.production
@@ -0,0 +1 @@
+NEXT_PUBLIC_BACKEND_URL=https://adesh01-civicsetu.hf.space
\ No newline at end of file
diff --git a/frontend/next-env.d.ts b/frontend/next-env.d.ts
new file mode 100644
index 0000000000000000000000000000000000000000..830fb594ca2970a827555c28a253b097367e08d8
--- /dev/null
+++ b/frontend/next-env.d.ts
@@ -0,0 +1,6 @@
+///
+///
+///
+
+// NOTE: This file should not be edited
+// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
diff --git a/frontend/next.config.ts b/frontend/next.config.ts
new file mode 100644
index 0000000000000000000000000000000000000000..9eb31d41cbcfd460e9c20a01836d7c8505d4049e
--- /dev/null
+++ b/frontend/next.config.ts
@@ -0,0 +1,14 @@
+import type { NextConfig } from 'next';
+
+const backendUrl = process.env.BACKEND_URL ?? 'http://localhost:8000';
+
+const nextConfig: NextConfig = {
+ async rewrites() {
+ return [
+ { source: '/api/:path*', destination: `${backendUrl}/api/:path*` },
+ { source: '/health', destination: `${backendUrl}/health` },
+ ];
+ },
+};
+
+export default nextConfig;
diff --git a/frontend/package-lock.json b/frontend/package-lock.json
new file mode 100644
index 0000000000000000000000000000000000000000..b558322793593226e4f70e61bec07abb5b23fb81
--- /dev/null
+++ b/frontend/package-lock.json
@@ -0,0 +1,7716 @@
+{
+ "name": "civicsetu-frontend",
+ "version": "0.1.0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "civicsetu-frontend",
+ "version": "0.1.0",
+ "dependencies": {
+ "d3": "^7.9.0",
+ "next": "^15.0.0",
+ "next-themes": "^0.4.4",
+ "react": "^19.0.0",
+ "react-dom": "^19.0.0",
+ "react-markdown": "^10.1.0",
+ "remark-gfm": "^4.0.1"
+ },
+ "devDependencies": {
+ "@types/d3": "^7.4.3",
+ "@types/node": "^22.10.2",
+ "@types/react": "^19.0.2",
+ "@types/react-dom": "^19.0.2",
+ "autoprefixer": "^10.4.20",
+ "eslint": "^9.17.0",
+ "eslint-config-next": "^15.0.0",
+ "postcss": "^8.4.49",
+ "tailwindcss": "^3.4.17",
+ "typescript": "^5.7.2"
+ }
+ },
+ "node_modules/@alloc/quick-lru": {
+ "version": "5.2.0",
+ "dev": true,
+ "license": "MIT",
+ "engines": {
+ "node": ">=10"
+ },
+ "funding": {
+ "url": "https://github.com/sponsors/sindresorhus"
+ }
+ },
+ "node_modules/@emnapi/core": {
+ "version": "1.9.2",
+ "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.9.2.tgz",
+ "integrity": "sha512-UC+ZhH3XtczQYfOlu3lNEkdW/p4dsJ1r/bP7H8+rhao3TTTMO1ATq/4DdIi23XuGoFY+Cz0JmCbdVl0hz9jZcA==",
+ "dev": true,
+ "license": "MIT",
+ "optional": true,
+ "dependencies": {
+ "@emnapi/wasi-threads": "1.2.1",
+ "tslib": "^2.4.0"
+ }
+ },
+ "node_modules/@emnapi/runtime": {
+ "version": "1.9.2",
+ "license": "MIT",
+ "optional": true,
+ "dependencies": {
+ "tslib": "^2.4.0"
+ }
+ },
+ "node_modules/@emnapi/wasi-threads": {
+ "version": "1.2.1",
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+ "node_modules/@eslint-community/eslint-utils": {
+ "version": "4.9.1",
+ "dev": true,
+ "license": "MIT",
+ "dependencies": {
+ "eslint-visitor-keys": "^3.4.3"
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+ "version": "4.12.2",
+ "dev": true,
+ "license": "MIT",
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+ "node": "^12.0.0 || ^14.0.0 || >=16.0.0"
+ }
+ },
+ "node_modules/@eslint/config-array": {
+ "version": "0.21.2",
+ "dev": true,
+ "license": "Apache-2.0",
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+ }
+ },
+ "node_modules/@humanfs/core": {
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diff --git a/frontend/package.json b/frontend/package.json
new file mode 100644
index 0000000000000000000000000000000000000000..9da7f001099c53e03f7f3c8f7d69d96698071068
--- /dev/null
+++ b/frontend/package.json
@@ -0,0 +1,33 @@
+{
+ "name": "civicsetu-frontend",
+ "version": "0.1.0",
+ "private": true,
+ "scripts": {
+ "dev": "next dev",
+ "build": "next build",
+ "start": "next start",
+ "lint": "next lint",
+ "typecheck": "tsc --noEmit"
+ },
+ "dependencies": {
+ "d3": "^7.9.0",
+ "next": "^15.0.0",
+ "next-themes": "^0.4.4",
+ "react": "^19.0.0",
+ "react-dom": "^19.0.0",
+ "react-markdown": "^10.1.0",
+ "remark-gfm": "^4.0.1"
+ },
+ "devDependencies": {
+ "@types/d3": "^7.4.3",
+ "@types/node": "^22.10.2",
+ "@types/react": "^19.0.2",
+ "@types/react-dom": "^19.0.2",
+ "autoprefixer": "^10.4.20",
+ "eslint": "^9.17.0",
+ "eslint-config-next": "^15.0.0",
+ "postcss": "^8.4.49",
+ "tailwindcss": "^3.4.17",
+ "typescript": "^5.7.2"
+ }
+}
diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js
new file mode 100644
index 0000000000000000000000000000000000000000..12a703d900da8159c30e75acbd2c4d87ae177f62
--- /dev/null
+++ b/frontend/postcss.config.js
@@ -0,0 +1,6 @@
+module.exports = {
+ plugins: {
+ tailwindcss: {},
+ autoprefixer: {},
+ },
+};
diff --git a/frontend/src/app/globals.css b/frontend/src/app/globals.css
new file mode 100644
index 0000000000000000000000000000000000000000..d84a5be92cd626040bb663a40f9670e0349e46e5
--- /dev/null
+++ b/frontend/src/app/globals.css
@@ -0,0 +1,86 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+:root {
+ color-scheme: dark;
+ --ledger-bg: #0d0d0d;
+ --ledger-panel: #141414;
+ --ledger-card: #1a1a1a;
+ --ledger-hover: #222222;
+ --ledger-fg: #e5e2e1;
+ --ledger-muted: rgba(229, 226, 225, 0.42);
+ --ledger-ghost: rgba(255, 255, 255, 0.08);
+ --ledger-primary: #4f98a3;
+}
+
+.dark {
+ color-scheme: dark;
+}
+
+html,
+body {
+ min-height: 100%;
+}
+
+body {
+ margin: 0;
+ overflow: hidden;
+ background: var(--ledger-bg);
+ color: var(--ledger-fg);
+ font-family: var(--font-inter), sans-serif;
+}
+
+@layer base {
+ * {
+ box-sizing: border-box;
+ }
+
+ ::selection {
+ background: rgba(79, 152, 163, 0.26);
+ }
+}
+
+@layer utilities {
+ .ledger-brand {
+ font-family: var(--font-instrument-serif), serif;
+ font-style: italic;
+ color: var(--ledger-primary);
+ }
+
+ .ledger-scroll {
+ scrollbar-width: thin;
+ scrollbar-color: rgba(255, 255, 255, 0.12) transparent;
+ }
+
+ .ledger-scroll::-webkit-scrollbar {
+ width: 4px;
+ height: 4px;
+ }
+
+ .ledger-scroll::-webkit-scrollbar-track {
+ background: transparent;
+ }
+
+ .ledger-scroll::-webkit-scrollbar-thumb {
+ background: rgba(255, 255, 255, 0.12);
+ border-radius: 999px;
+ }
+}
+
+@keyframes pulse-glow {
+ 0%, 100% {
+ filter: drop-shadow(0 0 4px currentColor);
+ }
+ 50% {
+ filter: drop-shadow(0 0 12px currentColor) drop-shadow(0 0 20px currentColor);
+ }
+}
+
+.node-selected {
+ animation: pulse-glow 2s ease-in-out infinite;
+}
+
+.node-hover-glow {
+ filter: drop-shadow(0 0 6px currentColor);
+}
diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..19e7ff48023c2979e96923f67ca9d9675368dd41
--- /dev/null
+++ b/frontend/src/app/layout.tsx
@@ -0,0 +1,43 @@
+import type { Metadata } from 'next';
+import { Instrument_Serif, Inter } from 'next/font/google';
+import { ThemeProvider } from '@/components/ThemeProvider';
+import './globals.css';
+
+const inter = Inter({
+ subsets: ['latin'],
+ variable: '--font-inter',
+ display: 'swap',
+});
+
+const instrumentSerif = Instrument_Serif({
+ subsets: ['latin'],
+ weight: ['400'],
+ style: ['italic'],
+ variable: '--font-instrument-serif',
+ display: 'swap',
+});
+
+export const metadata: Metadata = {
+ title: 'CivicSetu | Digital Ledger',
+ description:
+ 'Query Indian real estate regulations across multiple jurisdictions with cited answers and graph exploration.',
+};
+
+export default function RootLayout({
+ children,
+}: Readonly<{ children: React.ReactNode }>) {
+ return (
+
+
+
+ {children}
+
+
+
+ );
+}
diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..a53c87f79bcff222c1849bfa0ba7e8eb0f01a2a3
--- /dev/null
+++ b/frontend/src/app/page.tsx
@@ -0,0 +1,132 @@
+'use client';
+
+import { useCallback, useState } from 'react';
+import { ChatThread } from '@/components/ChatThread';
+import { Header } from '@/components/Header';
+import { InputBar } from '@/components/InputBar';
+import { ContextPill } from '@/components/graph/ContextPill';
+import { GraphExplorer } from '@/components/graph/GraphExplorer';
+import { useChat } from '@/hooks/useChat';
+import { useGraphExplorer } from '@/hooks/useGraphExplorer';
+import type { Jurisdiction, SectionContext } from '@/lib/types';
+
+const railItems = [
+ { label: 'Research', glyph: 'R', active: true },
+ { label: 'Legal tools', glyph: 'L', active: false },
+ { label: 'Library', glyph: 'B', active: false },
+ { label: 'History', glyph: 'H', active: false },
+] as const;
+
+export default function Home() {
+ const { messages, isLoading, sendMessage, sendSectionMessage, newConversation } = useChat();
+ const graphState = useGraphExplorer();
+
+ const [pendingQuery, setPendingQuery] = useState();
+ const [sectionContext, setSectionContext] = useState(null);
+
+ const handleChatAboutSection = useCallback(
+ (sectionId: string, title: string, docName: string, jurisdiction: string) => {
+ setSectionContext({ sectionId, title, docName, jurisdiction });
+ setPendingQuery(`Explain ${title} of ${docName}`);
+ setTimeout(() => setPendingQuery(undefined), 0);
+ },
+ [],
+ );
+
+ const handleExampleClick = useCallback((query: string) => {
+ setPendingQuery(query);
+ setTimeout(() => setPendingQuery(undefined), 0);
+ }, []);
+
+ function handleSend(text: string, jurisdiction: Jurisdiction | '') {
+ if (sectionContext) {
+ void sendSectionMessage(text, sectionContext.sectionId, sectionContext.jurisdiction);
+ setSectionContext(null);
+ return;
+ }
+
+ void sendMessage(text, jurisdiction);
+ }
+
+ return (
+
+
+
+
+
+
+
+ {railItems.map(item => (
+
+ {item.glyph}
+
+ ))}
+
+ S
+
+
+
+
+
+
+ +
+ New Conversation
+
+
+ Active session
+
+
+
+ {sectionContext ? (
+
setSectionContext(null)}
+ />
+ ) : null}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ );
+}
diff --git a/frontend/src/components/ChatThread.tsx b/frontend/src/components/ChatThread.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..bba36924fd5c656aade372b61eebf2947caaca11
--- /dev/null
+++ b/frontend/src/components/ChatThread.tsx
@@ -0,0 +1,73 @@
+'use client';
+
+import { useEffect, useRef } from 'react';
+import { MessageBubble } from '@/components/MessageBubble';
+import type { ChatMessage } from '@/lib/types';
+
+const EXAMPLE_QUERIES = [
+ 'What are promoter obligations under RERA?',
+ 'What penalty applies for delayed possession?',
+ 'How does agent registration work under Maharashtra rules?',
+ 'What is the complaint filing process for a buyer?',
+] as const;
+
+interface Props {
+ messages: ChatMessage[];
+ isLoading: boolean;
+ onExampleClick: (query: string) => void;
+}
+
+export function ChatThread({ messages, isLoading, onExampleClick }: Props) {
+ const bottomRef = useRef(null);
+
+ useEffect(() => {
+ bottomRef.current?.scrollIntoView({ behavior: 'smooth' });
+ }, [messages, isLoading]);
+
+ if (messages.length === 0 && !isLoading) {
+ return (
+
+
+
Research desk
+
+ Ask the ledger a legal question.
+
+
+ Query Indian RERA provisions, compare jurisdictions, and route selected graph sections directly into the chat.
+
+
+
+
+ {EXAMPLE_QUERIES.map(query => (
+ onExampleClick(query)}
+ className="rounded-[10px] bg-[#1a1a1a] px-3.5 py-3 text-left text-[13px] leading-5 text-white/60 transition-colors hover:bg-[#222222] hover:text-white/80"
+ >
+ {query}
+
+ ))}
+
+
+ );
+ }
+
+ return (
+
+ {messages.map(message => (
+
+ ))}
+
+ {isLoading ? (
+
+
+
+
+
+ ) : null}
+
+
+
+ );
+}
diff --git a/frontend/src/components/CitationsPanel.tsx b/frontend/src/components/CitationsPanel.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..a5dae45dde5f5955352e5130140b72923c6df8b9
--- /dev/null
+++ b/frontend/src/components/CitationsPanel.tsx
@@ -0,0 +1,64 @@
+'use client';
+
+import { useState } from 'react';
+import { JURISDICTION_COLORS, JURISDICTION_LABELS } from '@/lib/constants';
+import type { Citation } from '@/lib/types';
+
+interface Props {
+ citations: Citation[];
+}
+
+export function CitationsPanel({ citations }: Props) {
+ const [open, setOpen] = useState(false);
+
+ return (
+
+
setOpen(value => !value)}
+ className="inline-flex items-center gap-2 font-mono text-[10px] uppercase tracking-[0.2em] text-white/30 transition-colors hover:text-[#4f98a3] active:scale-[0.98]"
+ >
+ ▼
+ {citations.length} citation{citations.length === 1 ? '' : 's'}
+
+
+ {open ? (
+
+ {citations.map(citation => {
+ const color = JURISDICTION_COLORS[citation.jurisdiction] ?? '#888';
+ return (
+
+
+
+
+ Sec {citation.section_id}
+
+
{citation.doc_name}
+
+
+ {JURISDICTION_LABELS[citation.jurisdiction] ?? citation.jurisdiction}
+
+
+
+
+
Effective {citation.effective_date ?? 'not listed'}
+
+ Source
+
+
+
+ );
+ })}
+
+ ) : null}
+
+ );
+}
diff --git a/frontend/src/components/ConfidenceBadge.tsx b/frontend/src/components/ConfidenceBadge.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..37ededfa15956fb3c41268895ca6d15714c474a6
--- /dev/null
+++ b/frontend/src/components/ConfidenceBadge.tsx
@@ -0,0 +1,31 @@
+interface Props {
+ score: number;
+}
+
+const LEVELS = {
+ HIGH: {
+ label: 'HIGH',
+ classes: 'border-emerald-300/20 bg-emerald-300/10 text-emerald-200/80',
+ },
+ MEDIUM: {
+ label: 'MEDIUM',
+ classes: 'border-amber-300/20 bg-amber-300/10 text-amber-200/80',
+ },
+ LOW: {
+ label: 'LOW',
+ classes: 'border-rose-300/20 bg-rose-300/10 text-rose-200/80',
+ },
+} as const;
+
+export function ConfidenceBadge({ score }: Props) {
+ const key = score >= 0.75 ? 'HIGH' : score >= 0.5 ? 'MEDIUM' : 'LOW';
+ const { label, classes } = LEVELS[key];
+
+ return (
+
+ {label} {(score * 100).toFixed(0)}%
+
+ );
+}
diff --git a/frontend/src/components/Header.tsx b/frontend/src/components/Header.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..de62f5e2e0f953664e6350d9caf85f075ff8540c
--- /dev/null
+++ b/frontend/src/components/Header.tsx
@@ -0,0 +1,83 @@
+'use client';
+
+import { useTheme } from 'next-themes';
+import { useEffect, useState } from 'react';
+
+interface Props {
+ onNewConversation: () => void;
+}
+
+export function Header({ onNewConversation: _onNewConversation }: Props) {
+ const { resolvedTheme, setTheme } = useTheme();
+ const [mounted, setMounted] = useState(false);
+
+ useEffect(() => {
+ setMounted(true);
+ }, []);
+
+ return (
+
+ );
+}
+
+function MoonIcon() {
+ return (
+
+
+
+ );
+}
+
+function SunIcon() {
+ return (
+
+
+
+
+
+
+
+
+
+
+
+ );
+}
diff --git a/frontend/src/components/InputBar.tsx b/frontend/src/components/InputBar.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..14c154a114349aa449368053d7ad91d0ff42ff66
--- /dev/null
+++ b/frontend/src/components/InputBar.tsx
@@ -0,0 +1,171 @@
+'use client';
+
+import { useEffect, useRef, useState } from 'react';
+import type { Jurisdiction } from '@/lib/types';
+
+const JURISDICTIONS = [
+ { value: '' as const, label: 'All Jurisdictions', shortLabel: 'All', dotClass: 'bg-white/35' },
+ { value: 'CENTRAL' as const, label: 'Central', shortLabel: 'Central', dotClass: 'bg-[#2db7a3]' },
+ { value: 'MAHARASHTRA' as const, label: 'Maharashtra', shortLabel: 'Maharashtra', dotClass: 'bg-[#4e7cff]' },
+ { value: 'UTTAR_PRADESH' as const, label: 'Uttar Pradesh', shortLabel: 'Uttar Pradesh', dotClass: 'bg-[#f4b63f]' },
+ { value: 'KARNATAKA' as const, label: 'Karnataka', shortLabel: 'Karnataka', dotClass: 'bg-[#78b94d]' },
+ { value: 'TAMIL_NADU' as const, label: 'Tamil Nadu', shortLabel: 'Tamil Nadu', dotClass: 'bg-[#ff7a59]' },
+];
+
+interface Props {
+ onSend: (query: string, jurisdiction: Jurisdiction | '') => void;
+ disabled: boolean;
+ pendingQuery?: string;
+}
+
+export function InputBar({ onSend, disabled, pendingQuery }: Props) {
+ const [query, setQuery] = useState('');
+ const [jurisdiction, setJurisdiction] = useState('');
+ const [isJurisdictionOpen, setIsJurisdictionOpen] = useState(false);
+ const textareaRef = useRef(null);
+ const jurisdictionMenuRef = useRef(null);
+ const MAX_VISIBLE_LINES = 9;
+
+ const selectedJurisdiction = JURISDICTIONS.find(item => item.value === jurisdiction) ?? JURISDICTIONS[0];
+
+ useEffect(() => {
+ if (!pendingQuery) {
+ return;
+ }
+
+ setQuery(pendingQuery);
+ requestAnimationFrame(() => {
+ textareaRef.current?.focus();
+ autoResize();
+ });
+ }, [pendingQuery]);
+
+ useEffect(() => {
+ if (!isJurisdictionOpen) {
+ return;
+ }
+
+ function handlePointerDown(event: PointerEvent) {
+ if (!jurisdictionMenuRef.current?.contains(event.target as Node)) {
+ setIsJurisdictionOpen(false);
+ }
+ }
+
+ window.addEventListener('pointerdown', handlePointerDown);
+ return () => window.removeEventListener('pointerdown', handlePointerDown);
+ }, [isJurisdictionOpen]);
+
+ function autoResize() {
+ const element = textareaRef.current;
+ if (!element) {
+ return;
+ }
+
+ const computed = window.getComputedStyle(element);
+ const lineHeight = Number.parseFloat(computed.lineHeight) || 24;
+ const maxHeight = lineHeight * MAX_VISIBLE_LINES;
+ element.style.height = 'auto';
+ element.style.height = `${Math.min(element.scrollHeight, maxHeight)}px`;
+ element.style.overflowY = element.scrollHeight > maxHeight ? 'auto' : 'hidden';
+ }
+
+ function handleInput(event: React.ChangeEvent) {
+ setQuery(event.target.value);
+ autoResize();
+ }
+
+ function handleSend() {
+ const text = query.trim();
+ if (!text || disabled) {
+ return;
+ }
+
+ onSend(text, jurisdiction);
+ setQuery('');
+ if (textareaRef.current) {
+ textareaRef.current.style.height = 'auto';
+ textareaRef.current.style.overflowY = 'hidden';
+ }
+ }
+
+ function handleKeyDown(event: React.KeyboardEvent) {
+ if (event.key === 'Enter' && !event.shiftKey) {
+ event.preventDefault();
+ handleSend();
+ }
+ }
+
+ return (
+
+
+
setIsJurisdictionOpen(value => !value)}
+ className="inline-flex h-7 items-center gap-2 rounded-[7px] border border-white/[0.07] bg-[#141414] px-2.5 font-mono text-[10px] uppercase tracking-[0.2em] text-white/50 transition-[background-color,border-color,color,transform] duration-150 ease-out hover:border-white/15 hover:bg-[#1a1a1a] hover:text-white/70 active:scale-[0.98]"
+ aria-haspopup="listbox"
+ aria-expanded={isJurisdictionOpen}
+ >
+
+ {selectedJurisdiction.shortLabel}
+
+ ▼
+
+
+
+ {isJurisdictionOpen ? (
+
+ {JURISDICTIONS.map(item => (
+ {
+ setJurisdiction(item.value);
+ setIsJurisdictionOpen(false);
+ }}
+ className={`flex w-full items-center justify-between gap-3 rounded-[6px] px-2.5 py-2 text-left text-[12px] transition-[background-color,color] duration-150 ease-out ${
+ jurisdiction === item.value
+ ? 'bg-[#4f98a3]/12 text-[#9ed4dc]'
+ : 'text-white/60 hover:bg-white/[0.04] hover:text-white/80'
+ }`}
+ >
+
+
+ {item.label}
+
+ {jurisdiction === item.value ? (
+
+ ) : null}
+
+ ))}
+
+ ) : null}
+
+
+
+
+
+ ->
+
+
+
+ );
+}
diff --git a/frontend/src/components/MessageBubble.tsx b/frontend/src/components/MessageBubble.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..45f7e306f18d6cc84612a592a5e39bdaef0b3004
--- /dev/null
+++ b/frontend/src/components/MessageBubble.tsx
@@ -0,0 +1,109 @@
+import ReactMarkdown from 'react-markdown';
+import remarkGfm from 'remark-gfm';
+import { CitationsPanel } from '@/components/CitationsPanel';
+import { ConfidenceBadge } from '@/components/ConfidenceBadge';
+import type { ChatMessage } from '@/lib/types';
+import { isCivicSetuResponse } from '@/lib/types';
+
+interface Props {
+ message: ChatMessage;
+}
+
+export function MessageBubble({ message }: Props) {
+ if (message.role === 'user') {
+ return (
+
+ );
+ }
+
+ if (message.role === 'error') {
+ return (
+
+ {message.text}
+
+ );
+ }
+
+ const data = message.data;
+ const isRichResponse = data !== undefined && isCivicSetuResponse(data);
+
+ return (
+
+
+
{children}
,
+ h1: ({ children }) => {children} ,
+ h2: ({ children }) => {children} ,
+ h3: ({ children }) => {children} ,
+ ul: ({ children }) => ,
+ ol: ({ children }) => {children} ,
+ li: ({ children }) => {children} ,
+ strong: ({ children }) => {children} ,
+ blockquote: ({ children }) => (
+
+ {children}
+
+ ),
+ hr: () => ,
+ table: ({ children }) => (
+
+ ),
+ thead: ({ children }) => {children} ,
+ tbody: ({ children }) => {children} ,
+ th: ({ children }) => {children} ,
+ td: ({ children }) => {children} ,
+ code: ({ children, className }) => (
+
+ {children}
+
+ ),
+ pre: ({ children }) => (
+
+ {children}
+
+ ),
+ a: ({ children, href }) => (
+
+ {children}
+
+ ),
+ }}
+ >
+ {message.text}
+
+
+
+ {isRichResponse && data.citations.length > 0 ?
: null}
+
+ {isRichResponse ? (
+
+
+ Confidence:
+
+
+ {data.conflict_warnings.length > 0 ? (
+
Conflict warning: {data.conflict_warnings.join(', ')}
+ ) : null}
+ {data.amendment_notice ? (
+
Amendment notice: {data.amendment_notice}
+ ) : null}
+
+ ) : null}
+
+ );
+}
diff --git a/frontend/src/components/ThemeProvider.tsx b/frontend/src/components/ThemeProvider.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..0d03d686e06bdfbede5365533a9f4aa9afd6f1be
--- /dev/null
+++ b/frontend/src/components/ThemeProvider.tsx
@@ -0,0 +1,8 @@
+'use client';
+
+import { ThemeProvider as NextThemesProvider } from 'next-themes';
+import type { ThemeProviderProps } from 'next-themes';
+
+export function ThemeProvider(props: ThemeProviderProps) {
+ return ;
+}
diff --git a/frontend/src/components/graph/ContextPill.tsx b/frontend/src/components/graph/ContextPill.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..9ee43411ea4cf38abfc096e709ba719a45633a08
--- /dev/null
+++ b/frontend/src/components/graph/ContextPill.tsx
@@ -0,0 +1,26 @@
+'use client';
+
+interface Props {
+ sectionId: string;
+ docName: string;
+ jurisdiction: string;
+ onRemove: () => void;
+}
+
+export function ContextPill({ sectionId, docName, jurisdiction, onRemove }: Props) {
+ return (
+
+
+ Sec {sectionId} / {docName} / {jurisdiction}
+
+
+ x
+
+
+ );
+}
diff --git a/frontend/src/components/graph/ForceGraph.tsx b/frontend/src/components/graph/ForceGraph.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..7060e61effe20d9594079d0177f8430169a3c4c7
--- /dev/null
+++ b/frontend/src/components/graph/ForceGraph.tsx
@@ -0,0 +1,274 @@
+'use client';
+
+import * as d3 from 'd3';
+import { useEffect, useRef } from 'react';
+import { EDGE_STYLES, JURISDICTION_COLORS, NODE_RADIUS } from '@/lib/constants';
+import type { GraphEdge, GraphFilters, GraphNode } from '@/lib/types';
+
+interface Props {
+ nodes: GraphNode[];
+ edges: GraphEdge[];
+ filters: GraphFilters;
+ selectedNode: GraphNode | null;
+ hoveredNode: GraphNode | null;
+ onNodeClick: (node: GraphNode | null) => void;
+ onNodeHover: (node: GraphNode | null) => void;
+ width: number;
+ height: number;
+}
+
+export function ForceGraph({
+ nodes,
+ edges,
+ filters,
+ selectedNode,
+ hoveredNode,
+ onNodeClick,
+ onNodeHover,
+ width,
+ height,
+}: Props) {
+ const svgRef = useRef(null);
+ const simRef = useRef | null>(null);
+ const zoomRef = useRef | null>(null);
+
+ const filteredNodes = nodes.filter(node => filters.jurisdictions.has(node.jurisdiction));
+ const filteredNodeIds = new Set(filteredNodes.map(node => node.chunk_id));
+ const filteredEdges = edges.filter(
+ edge =>
+ filters.edgeTypes.has(edge.edge_type) &&
+ filteredNodeIds.has(typeof edge.source === 'string' ? edge.source : edge.source.chunk_id) &&
+ filteredNodeIds.has(typeof edge.target === 'string' ? edge.target : edge.target.chunk_id),
+ );
+
+ useEffect(() => {
+ if (!svgRef.current || width === 0 || height === 0) {
+ return;
+ }
+
+ const svg = d3.select(svgRef.current);
+ svg.selectAll('*').remove();
+
+ const defs = svg.append('defs');
+ const filter = defs.append('filter').attr('id', 'node-glow');
+ filter.append('feGaussianBlur').attr('stdDeviation', '3').attr('result', 'blur');
+ const merge = filter.append('feMerge');
+ merge.append('feMergeNode').attr('in', 'blur');
+ merge.append('feMergeNode').attr('in', 'SourceGraphic');
+
+ const container = svg.append('g').attr('class', 'zoom-container');
+ const edgeGroup = container.append('g').attr('class', 'edges');
+ const nodeGroup = container.append('g').attr('class', 'nodes');
+
+ const simNodes: GraphNode[] = filteredNodes.map(node => ({ ...node }));
+ const chunkIdToNode = new Map(simNodes.map(node => [node.chunk_id, node]));
+ const simEdges: GraphEdge[] = filteredEdges.map(edge => ({
+ ...edge,
+ source: typeof edge.source === 'string' ? edge.source : edge.source.chunk_id,
+ target: typeof edge.target === 'string' ? edge.target : edge.target.chunk_id,
+ }));
+
+ const connectionCounts = simNodes.map(node => node.connection_count);
+ const minConn = Math.min(...connectionCounts, 1);
+ const maxConn = Math.max(...connectionCounts, 2);
+ const radiusScale = d3.scaleSqrt().domain([minConn, maxConn]).range([NODE_RADIUS.MIN, NODE_RADIUS.MAX]);
+ const getRadius = (node: GraphNode) =>
+ filters.nodeSizeMode === 'uniform' ? NODE_RADIUS.DEFAULT : radiusScale(node.connection_count);
+
+ const sim = d3
+ .forceSimulation(simNodes)
+ .force(
+ 'link',
+ d3
+ .forceLink(simEdges)
+ .id(node => node.chunk_id)
+ .distance(82)
+ .strength(0.38),
+ )
+ .force('charge', d3.forceManyBody().strength(-64).distanceMax(310))
+ .force('center', d3.forceCenter(width / 2, height / 2))
+ .force('collide', d3.forceCollide(node => getRadius(node) + 3))
+ .alphaDecay(0.02)
+ .velocityDecay(0.42);
+
+ simRef.current = sim;
+
+ const link = edgeGroup
+ .selectAll('line')
+ .data(simEdges)
+ .join('line')
+ .attr('stroke', edge => EDGE_STYLES[edge.edge_type]?.color ?? 'rgba(255,255,255,0.14)')
+ .attr('stroke-width', edge => EDGE_STYLES[edge.edge_type]?.width ?? 1)
+ .attr('stroke-dasharray', edge => EDGE_STYLES[edge.edge_type]?.dashArray ?? 'none')
+ .attr('stroke-opacity', 0.82);
+
+ const nodeEl = nodeGroup
+ .selectAll('g.node')
+ .data(simNodes, node => node.chunk_id)
+ .join('g')
+ .attr('class', 'node')
+ .style('cursor', 'pointer')
+ .call(
+ d3
+ .drag()
+ .on('start', (event: d3.D3DragEvent, node: GraphNode) => {
+ if (!event.active) {
+ sim.alphaTarget(0.3).restart();
+ }
+ node.fx = node.x;
+ node.fy = node.y;
+ })
+ .on('drag', (event: d3.D3DragEvent, node: GraphNode) => {
+ node.fx = event.x;
+ node.fy = event.y;
+ })
+ .on('end', (event: d3.D3DragEvent, node: GraphNode) => {
+ if (!event.active) {
+ sim.alphaTarget(0);
+ }
+ node.fx = null;
+ node.fy = null;
+ }),
+ );
+
+ nodeEl
+ .append('circle')
+ .attr('class', 'glow-ring')
+ .attr('r', node => getRadius(node) + 4)
+ .attr('fill', 'none')
+ .attr('stroke', node => JURISDICTION_COLORS[node.jurisdiction] ?? '#888')
+ .attr('stroke-width', 1.5)
+ .attr('filter', 'url(#node-glow)')
+ .attr('opacity', 0);
+
+ nodeEl
+ .append('circle')
+ .attr('class', 'main-circle')
+ .attr('r', node => getRadius(node))
+ .attr('fill', node => JURISDICTION_COLORS[node.jurisdiction] ?? '#888')
+ .attr('stroke', '#0d0d0d')
+ .attr('stroke-width', 1.25)
+ .attr('stroke-opacity', 0.75);
+
+ nodeEl
+ .append('text')
+ .attr('class', 'node-label')
+ .attr('dy', node => -(getRadius(node) + 6))
+ .attr('text-anchor', 'middle')
+ .attr('fill', 'rgba(229,226,225,0.86)')
+ .attr('font-size', '10px')
+ .attr('font-family', 'var(--font-inter), sans-serif')
+ .attr('pointer-events', 'none')
+ .text(node => `Sec ${node.section_id} / ${node.title.slice(0, 28)}${node.title.length > 28 ? '...' : ''}`)
+ .attr('opacity', 0);
+
+ nodeEl
+ .on('mouseenter', (_event: MouseEvent, node: GraphNode) => {
+ onNodeHover(chunkIdToNode.get(node.chunk_id) ?? null);
+ })
+ .on('mouseleave', () => {
+ onNodeHover(null);
+ })
+ .on('click', (event: MouseEvent, node: GraphNode) => {
+ event.stopPropagation();
+ onNodeClick(chunkIdToNode.get(node.chunk_id) ?? node);
+ });
+
+ svg.on('click', () => onNodeClick(null));
+
+ const zoom = d3
+ .zoom()
+ .scaleExtent([0.3, 5])
+ .on('zoom', (event: d3.D3ZoomEvent) => {
+ container.attr('transform', event.transform.toString());
+ nodeEl.select('.node-label').attr('opacity', event.transform.k > 2.5 ? 0.9 : 0);
+ });
+
+ zoomRef.current = zoom;
+ svg.call(zoom);
+
+ sim.on('tick', () => {
+ link
+ .attr('x1', edge => (edge.source as GraphNode).x ?? 0)
+ .attr('y1', edge => (edge.source as GraphNode).y ?? 0)
+ .attr('x2', edge => (edge.target as GraphNode).x ?? 0)
+ .attr('y2', edge => (edge.target as GraphNode).y ?? 0);
+
+ nodeEl.attr('transform', node => `translate(${node.x ?? 0},${node.y ?? 0})`);
+ });
+
+ return () => {
+ sim.stop();
+ svg.on('.zoom', null);
+ };
+ // Rebuilding here keeps D3 ownership simple when the filter set changes.
+ // eslint-disable-next-line react-hooks/exhaustive-deps
+ }, [filteredNodes.length, filteredEdges.length, width, height, filters.nodeSizeMode]);
+
+ useEffect(() => {
+ if (!svgRef.current) {
+ return;
+ }
+
+ const svg = d3.select(svgRef.current);
+ const nodeEl = svg.selectAll('g.node');
+
+ if (!hoveredNode) {
+ nodeEl.selectAll('.main-circle').attr('opacity', 1);
+ nodeEl.selectAll('.node-label').each(function() {
+ const zoom = zoomRef.current;
+ if (zoom && svgRef.current) {
+ const transform = d3.zoomTransform(svgRef.current);
+ d3.select(this).attr('opacity', transform.k > 2.5 ? 0.9 : 0);
+ } else {
+ d3.select(this).attr('opacity', 0);
+ }
+ });
+ return;
+ }
+
+ const neighborIds = new Set([hoveredNode.chunk_id]);
+ svg.selectAll('line').each((edge: GraphEdge) => {
+ const src = typeof edge.source === 'string' ? edge.source : edge.source.chunk_id;
+ const tgt = typeof edge.target === 'string' ? edge.target : edge.target.chunk_id;
+ if (src === hoveredNode.chunk_id) {
+ neighborIds.add(tgt);
+ }
+ if (tgt === hoveredNode.chunk_id) {
+ neighborIds.add(src);
+ }
+ });
+
+ nodeEl.each(function(this: SVGGElement, node: GraphNode) {
+ const isNeighbor = neighborIds.has(node.chunk_id);
+ d3.select(this).select('.main-circle').attr('opacity', isNeighbor ? 1 : 0.12);
+ d3.select(this)
+ .select('.node-label')
+ .attr('opacity', node.chunk_id === hoveredNode.chunk_id ? 1 : 0);
+ });
+ }, [hoveredNode]);
+
+ useEffect(() => {
+ if (!svgRef.current) {
+ return;
+ }
+
+ const svg = d3.select(svgRef.current);
+ svg.selectAll('.glow-ring').each(function(this: SVGCircleElement, node: GraphNode) {
+ const isSelected = selectedNode?.chunk_id === node.chunk_id;
+ d3.select(this)
+ .attr('opacity', isSelected ? 0.8 : 0)
+ .classed('node-selected', isSelected);
+ });
+ }, [selectedNode]);
+
+ return (
+
+ );
+}
diff --git a/frontend/src/components/graph/GraphExplorer.tsx b/frontend/src/components/graph/GraphExplorer.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..d375b36ef4ebd938f067df9706b096ee9e02eed2
--- /dev/null
+++ b/frontend/src/components/graph/GraphExplorer.tsx
@@ -0,0 +1,132 @@
+'use client';
+
+import { useEffect, useRef, useState } from 'react';
+import { ForceGraph } from './ForceGraph';
+import { GraphFilterSidebar } from './GraphFilterSidebar';
+import { SectionDrawer } from './SectionDrawer';
+import type { UseGraphExplorerReturn } from '@/hooks/useGraphExplorer';
+
+interface Props extends UseGraphExplorerReturn {
+ onChatAboutSection: (
+ sectionId: string,
+ title: string,
+ docName: string,
+ jurisdiction: string,
+ ) => void;
+}
+
+export function GraphExplorer({
+ topology,
+ isLoading,
+ error,
+ selectedNode,
+ hoveredNode,
+ sectionContent,
+ isSectionLoading,
+ filters,
+ setSelectedNode,
+ setHoveredNode,
+ setFilters,
+ navigateToNode,
+ onChatAboutSection,
+}: Props) {
+ const containerRef = useRef(null);
+ const [dims, setDims] = useState({ width: 0, height: 0 });
+
+ useEffect(() => {
+ if (!containerRef.current) {
+ return;
+ }
+
+ const ro = new ResizeObserver(entries => {
+ for (const entry of entries) {
+ const { width, height } = entry.contentRect;
+ setDims({ width: Math.floor(width), height: Math.floor(height) });
+ }
+ });
+
+ ro.observe(containerRef.current);
+ return () => ro.disconnect();
+ }, []);
+
+ const nodes = topology?.nodes ?? [];
+ const edges = topology?.edges ?? [];
+
+ return (
+
+
+
+
Graph Explorer
+
+ {nodes.length} sections / {edges.length} relationships
+
+
+
+
+ Live topology
+
+
+
+
+
+
+ {isLoading ? (
+
+
+ {[0, 1, 2].map(i => (
+
+ ))}
+ Loading graph
+
+
+ ) : null}
+
+ {error ? (
+
+
+
Graph unavailable
+
{error}
+
+
+ ) : null}
+
+ {!isLoading && !error && nodes.length === 0 ? (
+
+
+
No section relationships found
+
Run ingestion to populate the graph.
+
+
+ ) : null}
+
+ {dims.width > 0 && dims.height > 0 && nodes.length > 0 ? (
+
setSelectedNode(node)}
+ onNodeHover={setHoveredNode}
+ width={dims.width}
+ height={dims.height}
+ />
+ ) : null}
+
+
+
+ setSelectedNode(null)}
+ onNodeNavigate={navigateToNode}
+ onChatAboutSection={onChatAboutSection}
+ />
+
+
+ );
+}
diff --git a/frontend/src/components/graph/GraphFilterSidebar.tsx b/frontend/src/components/graph/GraphFilterSidebar.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..0e47a46e4ed6098554dca1a64fe176c8ae4fa09d
--- /dev/null
+++ b/frontend/src/components/graph/GraphFilterSidebar.tsx
@@ -0,0 +1,155 @@
+'use client';
+
+import { useState } from 'react';
+import { ALL_JURISDICTIONS, JURISDICTION_LABELS } from '@/lib/constants';
+import type { GraphFilters, GraphTopology } from '@/lib/types';
+
+interface Props {
+ filters: GraphFilters;
+ onFiltersChange: (f: GraphFilters) => void;
+ topology: GraphTopology | null;
+}
+
+const JURISDICTION_DOT_CLASSES = {
+ CENTRAL: {
+ on: 'border-[#2db7a3] bg-[#2db7a3] opacity-100',
+ off: 'border-[#2db7a3] bg-transparent opacity-50',
+ },
+ MAHARASHTRA: {
+ on: 'border-[#4e7cff] bg-[#4e7cff] opacity-100',
+ off: 'border-[#4e7cff] bg-transparent opacity-50',
+ },
+ UTTAR_PRADESH: {
+ on: 'border-[#f4b63f] bg-[#f4b63f] opacity-100',
+ off: 'border-[#f4b63f] bg-transparent opacity-50',
+ },
+ KARNATAKA: {
+ on: 'border-[#78b94d] bg-[#78b94d] opacity-100',
+ off: 'border-[#78b94d] bg-transparent opacity-50',
+ },
+ TAMIL_NADU: {
+ on: 'border-[#ff7a59] bg-[#ff7a59] opacity-100',
+ off: 'border-[#ff7a59] bg-transparent opacity-50',
+ },
+} as const;
+
+export function GraphFilterSidebar({ filters, onFiltersChange, topology }: Props) {
+ const [collapsed, setCollapsed] = useState(false);
+
+ function toggleJurisdiction(j: (typeof ALL_JURISDICTIONS)[number]) {
+ const next = new Set(filters.jurisdictions);
+ if (next.has(j)) {
+ next.delete(j);
+ } else {
+ next.add(j);
+ }
+ onFiltersChange({ ...filters, jurisdictions: next });
+ }
+
+ function toggleEdgeType(t: 'REFERENCES' | 'DERIVED_FROM') {
+ const next = new Set(filters.edgeTypes);
+ if (next.has(t)) {
+ next.delete(t);
+ } else {
+ next.add(t);
+ }
+ onFiltersChange({ ...filters, edgeTypes: next });
+ }
+
+ return (
+
+
setCollapsed(value => !value)}
+ aria-label="Toggle graph filters"
+ type="button"
+ >
+
+ Filters
+
+ ▼
+
+
+
+ {!collapsed ? (
+
+ ) : null}
+
+ );
+}
diff --git a/frontend/src/components/graph/NodeInfoCard.tsx b/frontend/src/components/graph/NodeInfoCard.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..424feba6a5e65611f225aa504a9f4fc0771a51bc
--- /dev/null
+++ b/frontend/src/components/graph/NodeInfoCard.tsx
@@ -0,0 +1,112 @@
+'use client';
+
+import { JURISDICTION_COLORS, JURISDICTION_LABELS } from '@/lib/constants';
+import type { GraphNode, SectionContent } from '@/lib/types';
+
+interface Props {
+ node: GraphNode;
+ sectionContent: SectionContent | null;
+ isSectionLoading: boolean;
+ onChatAboutSection: (sectionId: string, title: string, docName: string, jurisdiction: string) => void;
+ onClose: () => void;
+}
+
+export function NodeInfoCard({
+ node,
+ sectionContent,
+ isSectionLoading,
+ onChatAboutSection,
+ onClose,
+}: Props) {
+ const color = JURISDICTION_COLORS[node.jurisdiction] ?? '#888';
+ const refsOut = sectionContent?.connected_sections.filter(s => s.edge_type === 'REFERENCES_OUT') ?? [];
+ const refsIn = sectionContent?.connected_sections.filter(s => s.edge_type === 'REFERENCES_IN') ?? [];
+ const derivedOut = sectionContent?.connected_sections.filter(s => s.edge_type === 'DERIVED_FROM_OUT') ?? [];
+ const derivedIn = sectionContent?.connected_sections.filter(s => s.edge_type === 'DERIVED_FROM_IN') ?? [];
+ const hasRelationships = refsOut.length > 0 || refsIn.length > 0 || derivedOut.length > 0 || derivedIn.length > 0;
+
+ return (
+
+
+
+
+
+ Sec
+ {node.section_id}
+
+ {JURISDICTION_LABELS[node.jurisdiction] ?? node.jurisdiction}
+
+
+
{node.title}
+
+ {node.doc_name}
+
+
+
+ x
+
+
+
+
+
+
+
Links
+
{node.connection_count}
+
+
+
State
+
{node.is_active ? 'Active' : 'Archived'}
+
+
+
+
+ {isSectionLoading ? (
+
Loading relationships
+ ) : null}
+
+ {!isSectionLoading && refsOut.length > 0 ? (
+
s.section_id)} />
+ ) : null}
+ {!isSectionLoading && refsIn.length > 0 ? (
+ s.section_id)} />
+ ) : null}
+ {!isSectionLoading && derivedOut.length > 0 ? (
+ s.section_id)} />
+ ) : null}
+ {!isSectionLoading && derivedIn.length > 0 ? (
+ s.section_id)} />
+ ) : null}
+ {!isSectionLoading && !hasRelationships ? (
+ No relationship detail loaded for this node.
+ ) : null}
+
+
+
+ onChatAboutSection(node.section_id, node.title, node.doc_name, node.jurisdiction)}
+ className="w-full border border-white/[0.09] bg-white/[0.03] px-3 py-2 text-[11px] font-medium text-white/70 transition-[background-color,border-color,transform] duration-150 ease-out hover:border-[#4f98a3]/50 hover:bg-white/[0.06] hover:text-white active:scale-[0.98]"
+ type="button"
+ >
+ Chat about this section
+
+
+
+ );
+}
+
+function RelationshipGroup({ label, values }: { label: string; values: string[] }) {
+ return (
+
+
{label}
+
{values.map(value => `Sec ${value}`).join(', ')}
+
+ );
+}
diff --git a/frontend/src/components/graph/SectionDrawer.tsx b/frontend/src/components/graph/SectionDrawer.tsx
new file mode 100644
index 0000000000000000000000000000000000000000..15c89f54b3cee366b9db27857d8eac9f51c67554
--- /dev/null
+++ b/frontend/src/components/graph/SectionDrawer.tsx
@@ -0,0 +1,133 @@
+'use client';
+
+import { JURISDICTION_COLORS, JURISDICTION_LABELS } from '@/lib/constants';
+import type { SectionContent } from '@/lib/types';
+
+interface Props {
+ content: SectionContent | null;
+ isLoading: boolean;
+ onClose: () => void;
+ onNodeNavigate: (sectionId: string, jurisdiction: string) => void;
+ onChatAboutSection: (sectionId: string, title: string, docName: string, jurisdiction: string) => void;
+}
+
+export function SectionDrawer({
+ content,
+ isLoading,
+ onClose,
+ onNodeNavigate,
+ onChatAboutSection,
+}: Props) {
+ const isOpen = isLoading || content !== null;
+ const color = content ? JURISDICTION_COLORS[content.jurisdiction] ?? '#888' : '#888';
+
+ return (
+
+ {content ? (
+
+ ) : null}
+
+ {isLoading ? (
+
+
+ {[0, 1, 2].map(i => (
+
+ ))}
+ Loading section
+
+
+ ) : null}
+
+ {!isLoading && content ? (
+ <>
+
+ {content.chunks.map((chunk, index) => (
+
0 ? 'mt-4 border-t border-white/[0.05] pt-4' : ''}>
+ {chunk.text}
+
+ ))}
+
+
+
+
+ {content.connected_sections.slice(0, 10).map((section, index) => (
+ onNodeNavigate(section.section_id, section.jurisdiction)}
+ className="shrink-0 border border-white/[0.08] bg-white/[0.02] px-2 py-1 font-mono text-[9px] uppercase tracking-[0.14em] text-white/40 transition-[background-color,border-color,color,transform] duration-150 ease-out hover:border-white/20 hover:bg-white/[0.05] hover:text-white/75 active:scale-[0.98]"
+ type="button"
+ style={{
+ borderColor: section.edge_type.startsWith('DERIVED') ? 'rgba(232,175,52,0.28)' : undefined,
+ }}
+ >
+ Sec {section.section_id}
+
+ ))}
+
+
+
+ onChatAboutSection(content.section_id, content.title, content.doc_name, content.jurisdiction)
+ }
+ className="shrink-0 border border-[#4f98a3]/35 bg-[#4f98a3]/10 px-3 py-1.5 text-[11px] font-medium text-[#9ed4dc] transition-[background-color,border-color,transform] duration-150 ease-out hover:border-[#4f98a3]/70 hover:bg-[#4f98a3]/16 active:scale-[0.98]"
+ type="button"
+ >
+ Chat about section
+
+
+ >
+ ) : null}
+
+ );
+}
diff --git a/frontend/src/hooks/useChat.ts b/frontend/src/hooks/useChat.ts
new file mode 100644
index 0000000000000000000000000000000000000000..4198f5e77d5d0270c2a6a55bda65daee6b7f620f
--- /dev/null
+++ b/frontend/src/hooks/useChat.ts
@@ -0,0 +1,99 @@
+'use client';
+
+import { useCallback, useRef, useState } from 'react';
+import { queryRera, querySectionContext } from '@/lib/api';
+import type { ApiResponse, ChatMessage, Jurisdiction } from '@/lib/types';
+
+const SESSION_KEY = 'civicsetu_session_id';
+
+export interface UseChatReturn {
+ messages: ChatMessage[];
+ isLoading: boolean;
+ sendMessage: (text: string, jurisdiction: Jurisdiction | '') => Promise;
+ sendSectionMessage: (text: string, sectionId: string, jurisdiction: string) => Promise;
+ newConversation: () => void;
+}
+
+export function useChat(): UseChatReturn {
+ const [messages, setMessages] = useState([]);
+ const [isLoading, setIsLoading] = useState(false);
+ const sessionIdRef = useRef(
+ typeof window !== 'undefined' ? window.localStorage.getItem(SESSION_KEY) : null,
+ );
+
+ const _handleResponse = useCallback((data: ApiResponse) => {
+ if (data.session_id) {
+ sessionIdRef.current = data.session_id;
+ if (typeof window !== 'undefined') {
+ window.localStorage.setItem(SESSION_KEY, data.session_id);
+ }
+ }
+ setMessages(prev => [
+ ...prev,
+ { id: crypto.randomUUID(), role: 'assistant', text: data.answer, data },
+ ]);
+ }, []);
+
+ const _handleError = useCallback((error: unknown) => {
+ setMessages(prev => [
+ ...prev,
+ {
+ id: crypto.randomUUID(),
+ role: 'error',
+ text: error instanceof Error ? error.message : 'Request failed',
+ },
+ ]);
+ }, []);
+
+ const sendMessage = useCallback(
+ async (text: string, jurisdiction: Jurisdiction | '') => {
+ setMessages(prev => [...prev, { id: crypto.randomUUID(), role: 'user', text }]);
+ setIsLoading(true);
+ try {
+ const data = await queryRera({
+ query: text,
+ top_k: 5,
+ ...(jurisdiction ? { jurisdiction_filter: jurisdiction } : {}),
+ ...(sessionIdRef.current ? { session_id: sessionIdRef.current } : {}),
+ });
+ _handleResponse(data);
+ } catch (error) {
+ _handleError(error);
+ } finally {
+ setIsLoading(false);
+ }
+ },
+ [_handleResponse, _handleError],
+ );
+
+ const sendSectionMessage = useCallback(
+ async (text: string, sectionId: string, jurisdiction: string) => {
+ setMessages(prev => [...prev, { id: crypto.randomUUID(), role: 'user', text }]);
+ setIsLoading(true);
+ try {
+ const data = await querySectionContext({
+ query: text,
+ section_id: sectionId,
+ jurisdiction,
+ ...(sessionIdRef.current ? { session_id: sessionIdRef.current } : {}),
+ });
+ _handleResponse(data);
+ } catch (error) {
+ _handleError(error);
+ } finally {
+ setIsLoading(false);
+ }
+ },
+ [_handleResponse, _handleError],
+ );
+
+ const newConversation = useCallback(() => {
+ sessionIdRef.current = null;
+ if (typeof window !== 'undefined') {
+ window.localStorage.removeItem(SESSION_KEY);
+ }
+ setMessages([]);
+ }, []);
+
+ return { messages, isLoading, sendMessage, sendSectionMessage, newConversation };
+}
\ No newline at end of file
diff --git a/frontend/src/hooks/useGraphExplorer.ts b/frontend/src/hooks/useGraphExplorer.ts
new file mode 100644
index 0000000000000000000000000000000000000000..84b54752cd480a1b56e5f278562e844297999497
--- /dev/null
+++ b/frontend/src/hooks/useGraphExplorer.ts
@@ -0,0 +1,102 @@
+'use client';
+
+import { useCallback, useEffect, useState } from 'react';
+import { fetchGraphTopology, fetchSectionContent } from '@/lib/api';
+import { ALL_JURISDICTIONS } from '@/lib/constants';
+import type { GraphFilters, GraphNode, GraphTopology, SectionContent } from '@/lib/types';
+
+export interface UseGraphExplorerReturn {
+ topology: GraphTopology | null;
+ isLoading: boolean;
+ error: string | null;
+ selectedNode: GraphNode | null;
+ hoveredNode: GraphNode | null;
+ sectionContent: SectionContent | null;
+ isSectionLoading: boolean;
+ filters: GraphFilters;
+ setSelectedNode: (node: GraphNode | null) => void;
+ setHoveredNode: (node: GraphNode | null) => void;
+ setFilters: (filters: GraphFilters) => void;
+ navigateToNode: (sectionId: string, jurisdiction: string) => void;
+}
+
+export function useGraphExplorer(): UseGraphExplorerReturn {
+ const [topology, setTopology] = useState(null);
+ const [isLoading, setIsLoading] = useState(true);
+ const [error, setError] = useState(null);
+
+ const [selectedNode, setSelectedNodeRaw] = useState(null);
+ const [hoveredNode, setHoveredNode] = useState(null);
+ const [sectionContent, setSectionContent] = useState(null);
+ const [isSectionLoading, setIsSectionLoading] = useState(false);
+
+ const [filters, setFilters] = useState({
+ jurisdictions: new Set(ALL_JURISDICTIONS),
+ edgeTypes: new Set(['REFERENCES', 'DERIVED_FROM']),
+ nodeSizeMode: 'connections',
+ });
+
+ // Fetch topology once on mount
+ useEffect(() => {
+ let cancelled = false;
+ setIsLoading(true);
+ fetchGraphTopology()
+ .then(data => {
+ if (!cancelled) {
+ setTopology(data);
+ setError(null);
+ }
+ })
+ .catch(err => {
+ if (!cancelled) setError((err as Error).message);
+ })
+ .finally(() => {
+ if (!cancelled) setIsLoading(false);
+ });
+ return () => { cancelled = true; };
+ }, []);
+
+ // Fetch section content when a node is selected
+ const setSelectedNode = useCallback((node: GraphNode | null) => {
+ setSelectedNodeRaw(node);
+ if (!node) {
+ setSectionContent(null);
+ return;
+ }
+ setIsSectionLoading(true);
+ fetchSectionContent(node.section_id, node.jurisdiction, node.chunk_id)
+ .then(data => setSectionContent(data))
+ .catch(err => {
+ console.error('Section content fetch failed:', err);
+ setSectionContent(null);
+ })
+ .finally(() => setIsSectionLoading(false));
+ }, []);
+
+ // Navigate to a node by section_id + jurisdiction (called from SectionDrawer chips)
+ const navigateToNode = useCallback(
+ (sectionId: string, jurisdiction: string) => {
+ if (!topology) return;
+ const target = topology.nodes.find(
+ n => n.section_id === sectionId && n.jurisdiction === jurisdiction,
+ );
+ if (target) setSelectedNode(target);
+ },
+ [topology, setSelectedNode],
+ );
+
+ return {
+ topology,
+ isLoading,
+ error,
+ selectedNode,
+ hoveredNode,
+ sectionContent,
+ isSectionLoading,
+ filters,
+ setSelectedNode,
+ setHoveredNode,
+ setFilters,
+ navigateToNode,
+ };
+}
diff --git a/frontend/src/lib/api.ts b/frontend/src/lib/api.ts
new file mode 100644
index 0000000000000000000000000000000000000000..5d54a4ca42b78cfd65b614064786fb82dcc97760
--- /dev/null
+++ b/frontend/src/lib/api.ts
@@ -0,0 +1,92 @@
+import type {
+ ApiResponse,
+ GraphTopology,
+ Jurisdiction,
+ SectionContent,
+} from './types';
+
+const API_BASE_URL = process.env.NEXT_PUBLIC_BACKEND_URL ?? '';
+
+function apiUrl(path: string): string {
+ return `${API_BASE_URL}${path}`;
+}
+
+export interface QueryPayload {
+ query: string;
+ session_id?: string;
+ jurisdiction_filter?: Jurisdiction;
+ top_k?: number;
+}
+
+export async function queryRera(payload: QueryPayload): Promise {
+ const res = await fetch(apiUrl('/api/v1/query'), {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify(payload),
+ });
+ if (!res.ok) {
+ let detail = res.statusText;
+ try {
+ const err = (await res.json()) as { detail?: string };
+ if (err.detail) detail = err.detail;
+ } catch {}
+ throw new Error(`API error ${res.status}: ${detail}`);
+ }
+ return res.json() as Promise;
+}
+
+export async function fetchGraphTopology(): Promise {
+ const res = await fetch(apiUrl('/api/v1/graph/topology'));
+ if (!res.ok) {
+ throw new Error(`Topology fetch failed: ${res.status}`);
+ }
+ return res.json() as Promise;
+}
+
+export async function fetchSectionContent(
+ sectionId: string,
+ jurisdiction: string,
+ chunkId?: string,
+): Promise {
+ const params = new URLSearchParams({ jurisdiction });
+ if (chunkId) {
+ params.set('chunk_id', chunkId);
+ }
+ const url = apiUrl(`/api/v1/graph/section/${encodeURIComponent(sectionId)}?${params.toString()}`);
+ const res = await fetch(url);
+ if (!res.ok) {
+ let detail = res.statusText;
+ try {
+ const err = (await res.json()) as { detail?: string };
+ if (err.detail) detail = err.detail;
+ } catch {}
+ throw new Error(`Section fetch failed: ${res.status} ${detail}`);
+ }
+ return res.json() as Promise;
+}
+
+export interface SectionContextPayload {
+ query: string;
+ section_id: string;
+ jurisdiction: string;
+ session_id?: string;
+}
+
+export async function querySectionContext(
+ payload: SectionContextPayload,
+): Promise {
+ const res = await fetch(apiUrl('/api/v1/query/section-context'), {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify(payload),
+ });
+ if (!res.ok) {
+ let detail = res.statusText;
+ try {
+ const err = (await res.json()) as { detail?: string };
+ if (err.detail) detail = err.detail;
+ } catch {}
+ throw new Error(`API error ${res.status}: ${detail}`);
+ }
+ return res.json() as Promise;
+}
diff --git a/frontend/src/lib/constants.ts b/frontend/src/lib/constants.ts
new file mode 100644
index 0000000000000000000000000000000000000000..3531eb80dcd549b69c6b0d0877dbed664a40bb64
--- /dev/null
+++ b/frontend/src/lib/constants.ts
@@ -0,0 +1,44 @@
+import type { Jurisdiction } from './types';
+
+export const JURISDICTION_COLORS: Record = {
+ CENTRAL: '#2db7a3',
+ MAHARASHTRA: '#4e7cff',
+ UTTAR_PRADESH: '#f4b63f',
+ KARNATAKA: '#78b94d',
+ TAMIL_NADU: '#ff7a59',
+};
+
+export const EDGE_STYLES = {
+ REFERENCES: {
+ color: 'rgba(255,255,255,0.15)',
+ dashArray: 'none',
+ width: 1,
+ },
+ DERIVED_FROM: {
+ color: '#e8af34',
+ dashArray: '6,3',
+ width: 1.5,
+ },
+} as const;
+
+export const NODE_RADIUS = {
+ MIN: 4,
+ MAX: 18,
+ DEFAULT: 6,
+} as const;
+
+export const ALL_JURISDICTIONS: Jurisdiction[] = [
+ 'CENTRAL',
+ 'MAHARASHTRA',
+ 'UTTAR_PRADESH',
+ 'KARNATAKA',
+ 'TAMIL_NADU',
+];
+
+export const JURISDICTION_LABELS: Record = {
+ CENTRAL: 'Central',
+ MAHARASHTRA: 'Maharashtra',
+ UTTAR_PRADESH: 'Uttar Pradesh',
+ KARNATAKA: 'Karnataka',
+ TAMIL_NADU: 'Tamil Nadu',
+};
diff --git a/frontend/src/lib/types.ts b/frontend/src/lib/types.ts
new file mode 100644
index 0000000000000000000000000000000000000000..84bfda5c049102bac4144a69f2104cd99b83ddce
--- /dev/null
+++ b/frontend/src/lib/types.ts
@@ -0,0 +1,122 @@
+export type Jurisdiction =
+ | 'CENTRAL'
+ | 'MAHARASHTRA'
+ | 'UTTAR_PRADESH'
+ | 'KARNATAKA'
+ | 'TAMIL_NADU';
+
+export type QueryType =
+ | 'fact_lookup'
+ | 'cross_reference'
+ | 'conflict_detection'
+ | 'temporal'
+ | 'penalty_lookup';
+
+export interface Citation {
+ section_id: string;
+ doc_name: string;
+ jurisdiction: Jurisdiction;
+ effective_date: string | null;
+ source_url: string;
+ chunk_id: string;
+}
+
+export interface CivicSetuResponse {
+ answer: string;
+ citations: Citation[];
+ confidence_score: number;
+ query_type_resolved: QueryType;
+ conflict_warnings: string[];
+ amendment_notice: string | null;
+ session_id: string | null;
+ disclaimer: string;
+ confidence_level: 'HIGH' | 'MEDIUM' | 'LOW';
+}
+
+export interface InsufficientInfoResponse {
+ answer: string;
+ searched_query: string;
+ session_id: string | null;
+ disclaimer: string;
+}
+
+export type ApiResponse = CivicSetuResponse | InsufficientInfoResponse;
+
+export function isCivicSetuResponse(r: ApiResponse): r is CivicSetuResponse {
+ return 'citations' in r && Array.isArray(r.citations);
+}
+
+export interface ChatMessage {
+ id: string;
+ role: 'user' | 'assistant' | 'error';
+ text: string;
+ data?: ApiResponse;
+}
+
+// ── Graph Types ───────────────────────────────────────────────────────────────
+
+export interface GraphNode {
+ chunk_id: string;
+ section_id: string;
+ title: string;
+ jurisdiction: Jurisdiction;
+ doc_name: string;
+ is_active: boolean;
+ connection_count: number;
+ // D3 simulation fields, mutated in place by force simulation.
+ x?: number;
+ y?: number;
+ vx?: number;
+ vy?: number;
+ fx?: number | null;
+ fy?: number | null;
+}
+
+export interface GraphEdge {
+ source: string | GraphNode;
+ target: string | GraphNode;
+ edge_type: 'REFERENCES' | 'DERIVED_FROM';
+}
+
+export interface GraphTopology {
+ nodes: GraphNode[];
+ edges: GraphEdge[];
+ stats: Record;
+}
+
+export interface SectionChunk {
+ chunk_id: string;
+ text: string;
+ page_number: number;
+}
+
+export interface ConnectedSection {
+ section_id: string;
+ title: string;
+ jurisdiction: Jurisdiction;
+ edge_type: 'REFERENCES_OUT' | 'REFERENCES_IN' | 'DERIVED_FROM_OUT' | 'DERIVED_FROM_IN';
+}
+
+export interface SectionContent {
+ section_id: string;
+ title: string;
+ doc_name: string;
+ jurisdiction: Jurisdiction;
+ effective_date: string | null;
+ source_url: string;
+ chunks: SectionChunk[];
+ connected_sections: ConnectedSection[];
+}
+
+export interface GraphFilters {
+ jurisdictions: Set;
+ edgeTypes: Set<'REFERENCES' | 'DERIVED_FROM'>;
+ nodeSizeMode: 'connections' | 'uniform';
+}
+
+export interface SectionContext {
+ sectionId: string;
+ title: string;
+ docName: string;
+ jurisdiction: string;
+}
diff --git a/frontend/tailwind.config.ts b/frontend/tailwind.config.ts
new file mode 100644
index 0000000000000000000000000000000000000000..257a8349878b6aa90bd20592270b7c3725a31998
--- /dev/null
+++ b/frontend/tailwind.config.ts
@@ -0,0 +1,31 @@
+import type { Config } from 'tailwindcss';
+
+const config: Config = {
+ content: [
+ './src/pages/**/*.{js,ts,jsx,tsx,mdx}',
+ './src/components/**/*.{js,ts,jsx,tsx,mdx}',
+ './src/app/**/*.{js,ts,jsx,tsx,mdx}',
+ ],
+ darkMode: 'class',
+ theme: {
+ extend: {
+ fontFamily: {
+ sans: ['var(--font-inter)', 'Inter', 'sans-serif'],
+ serif: ['var(--font-merriweather)', 'Merriweather', 'serif'],
+ },
+ colors: {
+ graph: {
+ bg: '#0d0d0d',
+ central: '#2db7a3',
+ maharashtra: '#4e7cff',
+ uttar_pradesh:'#f4b63f',
+ karnataka: '#78b94d',
+ tamil_nadu: '#ff7a59',
+ },
+ },
+ },
+ },
+ plugins: [],
+};
+
+export default config;
diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json
new file mode 100644
index 0000000000000000000000000000000000000000..f4fda1466a6f00d73a76c4f797a9d72572eb6e6e
--- /dev/null
+++ b/frontend/tsconfig.json
@@ -0,0 +1,27 @@
+{
+ "compilerOptions": {
+ "target": "ES2017",
+ "lib": ["dom", "dom.iterable", "esnext"],
+ "allowJs": false,
+ "skipLibCheck": true,
+ "strict": true,
+ "noEmit": true,
+ "esModuleInterop": true,
+ "module": "esnext",
+ "moduleResolution": "bundler",
+ "resolveJsonModule": true,
+ "isolatedModules": true,
+ "jsx": "preserve",
+ "incremental": true,
+ "plugins": [
+ {
+ "name": "next"
+ }
+ ],
+ "paths": {
+ "@/*": ["./src/*"]
+ }
+ },
+ "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
+ "exclude": ["node_modules"]
+}
diff --git a/frontend/tsconfig.tsbuildinfo b/frontend/tsconfig.tsbuildinfo
new file mode 100644
index 0000000000000000000000000000000000000000..0f151ff5420fbcd3af5322520731c368a4cd02d1
--- /dev/null
+++ b/frontend/tsconfig.tsbuildinfo
@@ -0,0 +1 @@
+{"fileNames":["./node_modules/typescript/lib/lib.es5.d.ts","./node_modules/typescript/lib/lib.es2015.d.ts","./node_modules/typescript/lib/lib.es2016.d.ts","./node_modules/typescript/lib/lib.es2017.d.ts","./node_modules/typescript/lib/lib.es2018.d.ts","./node_modules/typescript/lib/lib.es2019.d.ts","./node_modules/typescript/lib/lib.es2020.d.ts","./node_modules/typescript/lib/lib.es2021.d.ts","./node_modules/typescript/lib/lib.es2022.d.ts","./node_modules/typescript/lib/lib.es2023.d.ts","./node_modules/typescript/lib/lib.es2024.d.ts","./node_modules/typescript/lib/lib.esnext.d.ts","./node_modules/typescript/lib/lib.dom.d.ts","./node_modules/typescript/lib/lib.dom.iterable.d.ts","./node_modules/typescript/lib/lib.es2015.core.d.ts","./node_modules/typescript/lib/lib.es2015.collection.d.ts","./node_modules/typescript/lib/lib.es2015.generator.d.ts","./node_modules/typescript/lib/lib.es2015.iterable.d.ts","./node_modules/typescript/lib/lib.es2015.promise.d.ts","./node_modules/typescript/lib/lib.es2015.proxy.d.ts","./node_modules/typescript/lib/lib.es2015.reflect.d.ts","./node_modules/typescript/lib/lib.es2015.symbol.d.ts","./node_modules/typescript/lib/lib.es2015.symbol.wellknown.d.ts","./node_modules/typescript/lib/lib.es2016.array.include.d.ts","./node_modules/typescript/lib/lib.es2016.intl.d.ts","./node_modules/typescript/lib/lib.es2017.arraybuffer.d.ts","./node_modules/typescript/lib/lib.es2017.date.d.ts","./node_modules/typescript/lib/lib.es2017.object.d.ts","./node_modules/typescript/lib/lib.es2017.sharedmemory.d.ts","./node_modules/typescript/lib/lib.es2017.string.d.ts","./node_modules/typescript/lib/lib.es2017.intl.d.ts","./node_modules/typescript/lib/lib.es2017.typedarrays.d.ts","./node_modules/typescript/lib/lib.es2018.asyncgenerator.d.ts","./node_modules/typescript/lib/lib.es2018.asynciterable.d.ts","./node_modules/typescript/lib/lib.es2018.intl.d.ts","./node_modules/typescript/lib/lib.es2018.promise.d.ts","./node_modules/typescript/lib/lib.es2018.regexp.d.ts","./node_modules/typescript/lib/lib.es2019.array.d.ts","./node_modules/typescript/lib/lib.es2019.object.d.ts","./node_modules/typescript/lib/lib.es2019.string.d.ts","./node_modules/typescript/lib/lib.es2019.symbol.d.ts","./node_modules/typescript/lib/lib.es2019.intl.d.ts","./node_modules/typescript/lib/lib.es2020.bigint.d.ts","./node_modules/typescript/lib/lib.es2020.date.d.ts","./node_modules/typescript/lib/lib.es2020.promise.d.ts","./node_modules/typescript/lib/lib.es2020.sharedmemory.d.ts","./node_modules/typescript/lib/lib.es2020.string.d.ts","./node_modules/typescript/lib/lib.es2020.symbol.wellknown.d.ts","./node_modules/typescript/lib/lib.es2020.intl.d.ts","./node_modules/typescript/lib/lib.es2020.number.d.ts","./node_modules/typescript/lib/lib.es2021.promise.d.ts","./node_modules/typescript/lib/lib.es2021.string.d.ts","./node_modules/typescript/lib/lib.es2021.weakref.d.ts","./node_modules/typescript/lib/lib.es2021.intl.d.ts","./node_modules/typescript/lib/lib.es2022.array.d.ts","./node_modules/typescript/lib/lib.es2022.error.d.ts","./node_modules/typescript/lib/lib.es2022.intl.d.ts","./node_modules/typescript/lib/lib.es2022.object.d.ts","./node_modules/typescript/lib/lib.es2022.string.d.ts","./node_modules/typescript/lib/lib.es2022.regexp.d.ts","./node_modules/typescript/lib/lib.es2023.array.d.ts","./node_modules/typescript/lib/lib.es2023.collection.d.ts","./node_modules/typescript/lib/lib.es2023.intl.d.ts","./node_modules/typescript/lib/lib.es2024.arraybuffer.d.ts","./node_modules/typescript/lib/lib.es2024.collection.d.ts","./node_modules/typescript/lib/lib.es2024.object.d.ts","./node_modules/typescript/lib/lib.es2024.promise.d.ts","./node_modules/typescript/lib/lib.es2024.regexp.d.ts","./node_modules/typescript/lib/lib.es2024.sharedmemory.d.ts","./node_modules/typescript/lib/lib.es2024.string.d.ts","./node_modules/typescript/lib/lib.esnext.array.d.ts","./node_modules/typescript/lib/lib.esnext.collection.d.ts","./node_modules/typescript/lib/lib.esnext.intl.d.ts","./node_modules/typescript/lib/lib.esnext.disposable.d.ts","./node_modules/typescript/lib/lib.esnext.promise.d.ts","./node_modules/typescript/lib/lib.esnext.decorators.d.ts","./node_modules/typescript/lib/lib.esnext.iterator.d.ts","./node_modules/typescript/lib/lib.esnext.float16.d.ts","./node_modules/typescript/lib/lib.esnext.error.d.ts","./node_modules/typescript/lib/lib.esnext.sharedmemory.d.ts","./node_modules/typescript/lib/lib.decorators.d.ts","./node_modules/typescript/lib/lib.decorators.legacy.d.ts","./.next/types/routes.d.ts","./node_modules/@types/react/global.d.ts","./node_modules/csstype/index.d.ts","./node_modules/@types/react/index.d.ts","./node_modules/next/dist/styled-jsx/types/css.d.ts","./node_modules/next/dist/styled-jsx/types/macro.d.ts","./node_modules/next/dist/styled-jsx/types/style.d.ts","./node_modules/next/dist/styled-jsx/types/global.d.ts","./node_modules/next/dist/styled-jsx/types/index.d.ts","./node_modules/next/dist/shared/lib/amp.d.ts","./node_module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diff --git a/pyproject.toml b/pyproject.toml
index ba3e69d75ecc7f54a671215c274d8569c68e4e57..5d125a57275a37fbf8c0f791240b73347a5d390f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,6 +10,7 @@ requires-python = ">=3.11"
dependencies = [
# --- LLM & Orchestration ---
"langgraph>=0.3.0",
+ "langgraph-checkpoint-postgres>=2.0.0",
"langchain>=0.3.0",
"langchain-core>=0.3.0",
"langchain-google-genai>=2.0.0",
@@ -43,6 +44,7 @@ dependencies = [
# --- Utilities ---
"python-dotenv>=1.0.0",
"tenacity>=8.3.0",
+ "cachetools>=5.3.0",
"structlog>=24.0.0",
"einops>=0.8.2",
"huggingface-hub[cli]>=1.7.1",
diff --git a/src/civicsetu/agent/graph.py b/src/civicsetu/agent/graph.py
index 3739a1455eb8156ef2299f320be6c645e180a8ca..0c8a4a21da61450147568632778202580b73412c 100644
--- a/src/civicsetu/agent/graph.py
+++ b/src/civicsetu/agent/graph.py
@@ -1,17 +1,19 @@
from __future__ import annotations
import structlog
+from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.graph import END, StateGraph
from civicsetu.agent.edges import route_after_classifier, route_after_validator
from civicsetu.agent.nodes import (
classifier_node,
generator_node,
+ graph_retrieval_node,
+ hybrid_retrieval_node,
reranker_node,
+ turn_reset_node,
validator_node,
vector_retrieval_node,
- graph_retrieval_node,
- hybrid_retrieval_node,
)
from civicsetu.agent.state import CivicSetuState
@@ -32,33 +34,31 @@ def _retry_node(state: CivicSetuState) -> dict:
def build_graph() -> StateGraph:
graph = StateGraph(CivicSetuState)
- # ── Register nodes ─────────────────────────────────────────────────────────
- graph.add_node("classifier", classifier_node)
- graph.add_node("vector_retrieval", vector_retrieval_node)
- graph.add_node("graph_retrieval", graph_retrieval_node)
- graph.add_node("reranker", reranker_node)
- graph.add_node("generator", generator_node)
- graph.add_node("validator", validator_node)
- graph.add_node("retry", _retry_node)
- graph.add_node("hybrid_retrieval", hybrid_retrieval_node)
-
- # ── Entry point ────────────────────────────────────────────────────────────
- graph.set_entry_point("classifier")
+ graph.add_node("turn_reset", turn_reset_node)
+ graph.add_node("classifier", classifier_node)
+ graph.add_node("vector_retrieval", vector_retrieval_node)
+ graph.add_node("graph_retrieval", graph_retrieval_node)
+ graph.add_node("reranker", reranker_node)
+ graph.add_node("generator", generator_node)
+ graph.add_node("validator", validator_node)
+ graph.add_node("retry", _retry_node)
+ graph.add_node("hybrid_retrieval", hybrid_retrieval_node)
- # ── Edges ──────────────────────────────────────────────────────────────────
+ graph.set_entry_point("turn_reset")
+ graph.add_edge("turn_reset", "classifier")
graph.add_conditional_edges(
"classifier",
route_after_classifier,
{
"vector_retrieval": "vector_retrieval",
- "graph_retrieval": "graph_retrieval",
+ "graph_retrieval": "graph_retrieval",
"hybrid_retrieval": "hybrid_retrieval",
},
)
graph.add_edge("vector_retrieval", "reranker")
- graph.add_edge("graph_retrieval", "reranker")
- graph.add_edge("reranker", "generator")
- graph.add_edge("generator", "validator")
+ graph.add_edge("graph_retrieval", "reranker")
+ graph.add_edge("reranker", "generator")
+ graph.add_edge("generator", "validator")
graph.add_conditional_edges(
"validator",
route_after_validator,
@@ -70,6 +70,6 @@ def build_graph() -> StateGraph:
return graph
-def get_compiled_graph():
+def get_compiled_graph(checkpointer: BaseCheckpointSaver | None = None):
"""Returns the compiled, executable LangGraph. Call once, reuse."""
- return build_graph().compile()
+ return build_graph().compile(checkpointer=checkpointer)
diff --git a/src/civicsetu/agent/nodes.py b/src/civicsetu/agent/nodes.py
index c9e9ecce01c7eae85c6190d4c4184e2dfcda1b52..1cba87e114be890f7ab6ed2f0a879179b2d849c9 100644
--- a/src/civicsetu/agent/nodes.py
+++ b/src/civicsetu/agent/nodes.py
@@ -2,35 +2,70 @@ from __future__ import annotations
import asyncio
import json
+import time
import litellm
import structlog
from civicsetu.agent.state import CivicSetuState
from civicsetu.config.settings import get_settings
-from civicsetu.ingestion.embedder import Embedder
from civicsetu.models.enums import QueryType, Jurisdiction
from civicsetu.models.schemas import Citation, RetrievedChunk
from civicsetu.prompts.classifier import CLASSIFIER_PROMPT
from civicsetu.prompts.generator import GENERATOR_PROMPT
-from civicsetu.prompts.validator import VALIDATOR_PROMPT
+from civicsetu.retrieval import cached_embed
from civicsetu.stores.relational_store import AsyncSessionLocal
from civicsetu.stores.vector_store import VectorStore
log = structlog.get_logger(__name__)
settings = get_settings()
-_embedder = Embedder()
+_ranker = None
# ── LiteLLM fallback chain ─────────────────────────────────────────────────────
FALLBACK_MODELS = [
settings.primary_model,
- settings.fallback_model_1,
settings.fallback_model_2,
+ settings.fallback_model_1,
]
+def _get_ranker():
+ global _ranker
+ if _ranker is not None:
+ return _ranker
+
+ from flashrank import Ranker
+ ranker = Ranker(model_name="ms-marco-MiniLM-L-12-v2", cache_dir=".cache/flashrank")
+
+ # Do not cache unittest mocks, otherwise tests that patch Ranker bleed into each other.
+ if type(ranker).__module__ != "unittest.mock":
+ _ranker = ranker
+ return ranker
+
+
+def turn_reset_node(state: CivicSetuState) -> dict:
+ """
+ Clear per-turn fields while preserving session-scoped inputs and messages.
+ """
+ log.info("turn_reset", session_id=state.get("session_id"))
+ return {
+ "query_type": None,
+ "rewritten_query": None,
+ "retrieved_chunks": [],
+ "reranked_chunks": [],
+ "raw_response": None,
+ "citations": [],
+ "confidence_score": 0.0,
+ "conflict_warnings": [],
+ "amendment_notice": None,
+ "retry_count": 0,
+ "hallucination_flag": False,
+ "error": None,
+ }
+
+
def _llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
"""
LiteLLM call with automatic fallback chain.
@@ -42,6 +77,7 @@ def _llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
]
last_error = None
for model in FALLBACK_MODELS:
+ start = time.perf_counter()
try:
# Gemini 3.x models degrade below temperature=1.0
effective_temp = 1.0 if "gemini-3" in model else temperature
@@ -51,9 +87,22 @@ def _llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
temperature=effective_temp,
max_tokens=1024,
)
- return response.choices[0].message.content.strip()
+ duration_ms = round((time.perf_counter() - start) * 1000, 2)
+ content = response.choices[0].message.content.strip()
+ usage = getattr(response, "usage", None)
+ log.info(
+ "llm_call_complete",
+ model=model,
+ duration_ms=duration_ms,
+ prompt_chars=len(prompt),
+ output_chars=len(content),
+ prompt_tokens=getattr(usage, "prompt_tokens", None) if usage else None,
+ completion_tokens=getattr(usage, "completion_tokens", None) if usage else None,
+ )
+ return content
except Exception as e:
- log.warning("llm_fallback", model=model, error=str(e))
+ duration_ms = round((time.perf_counter() - start) * 1000, 2)
+ log.warning("llm_fallback", model=model, duration_ms=duration_ms, error=str(e))
last_error = e
continue
@@ -67,6 +116,16 @@ def classifier_node(state: CivicSetuState) -> dict:
Classifies query type and rewrites the query for better retrieval.
Returns: query_type, rewritten_query
"""
+ node_start = time.perf_counter()
+ # ── Skip classifier for graph-context queries (section drawer flow) ───────
+ if state.get("skip_classifier"):
+ log.info("classifier_node_skipped", reason="skip_classifier=True")
+ log.info("node_timing", node="classifier", duration_ms=round((time.perf_counter() - node_start) * 1000, 2))
+ return {
+ "query_type": state["query_type"],
+ "rewritten_query": state.get("rewritten_query") or state["query"],
+ }
+ # ─────────────────────────────────────────────────────────────────────────
query = state["query"]
log.info("classifier_node", query=query[:80])
@@ -93,6 +152,7 @@ def classifier_node(state: CivicSetuState) -> dict:
rewritten = query
log.info("classified", query_type=query_type.value, rewritten=rewritten[:80])
+ log.info("node_timing", node="classifier", duration_ms=round((time.perf_counter() - node_start) * 1000, 2))
return {"query_type": query_type, "rewritten_query": rewritten}
@@ -112,10 +172,13 @@ def vector_retrieval_node(state: CivicSetuState) -> dict:
query = state.get("rewritten_query") or state["query"]
top_k = state.get("top_k", 5)
jurisdiction = state.get("jurisdiction_filter")
+ node_start = time.perf_counter()
log.info("vector_retrieval_node", query=query[:80], top_k=top_k)
- query_embedding = _embedder.embed_query(query)
+ embed_start = time.perf_counter()
+ query_embedding = cached_embed(query)
+ log.info("stage_timing", node="vector_retrieval", stage="embedding", duration_ms=round((time.perf_counter() - embed_start) * 1000, 2))
async def _retrieve():
async with AsyncSessionLocal() as session:
@@ -157,7 +220,10 @@ def vector_retrieval_node(state: CivicSetuState) -> dict:
)
return expanded
+ retrieve_start = time.perf_counter()
chunks = asyncio.run(_retrieve())
+ log.info("stage_timing", node="vector_retrieval", stage="postgres_retrieval", duration_ms=round((time.perf_counter() - retrieve_start) * 1000, 2))
+ log.info("node_timing", node="vector_retrieval", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), results=len(chunks))
return {"retrieved_chunks": chunks}
@@ -172,6 +238,7 @@ def graph_retrieval_node(state: CivicSetuState) -> dict:
query = state.get("rewritten_query") or state["query"]
jurisdiction = state.get("jurisdiction_filter")
top_k = state.get("top_k", 5)
+ node_start = time.perf_counter()
log.info("graph_retrieval_node", query=query[:80])
@@ -180,16 +247,21 @@ def graph_retrieval_node(state: CivicSetuState) -> dict:
query=query,
jurisdiction=jurisdiction,
depth=2,
+ source_section_id=state.get("source_section_id"),
)
+ retrieve_start = time.perf_counter()
chunks = asyncio.run(_retrieve())
log.info("graph_retrieval_complete", results=len(chunks))
+ log.info("stage_timing", node="graph_retrieval", stage="neo4j_postgres_hydration", duration_ms=round((time.perf_counter() - retrieve_start) * 1000, 2))
# Fallback: if graph found nothing (no explicit section in query),
# run vector retrieval instead
if not chunks:
log.info("graph_retrieval_fallback_to_vector", query=query[:80])
- query_embedding = _embedder.embed_query(query)
+ embed_start = time.perf_counter()
+ query_embedding = cached_embed(query)
+ log.info("stage_timing", node="graph_retrieval", stage="fallback_embedding", duration_ms=round((time.perf_counter() - embed_start) * 1000, 2))
async def _vector_fallback():
async with AsyncSessionLocal() as session:
@@ -201,7 +273,9 @@ def graph_retrieval_node(state: CivicSetuState) -> dict:
active_only=True,
)
+ fallback_start = time.perf_counter()
chunks = asyncio.run(_vector_fallback())
+ log.info("stage_timing", node="graph_retrieval", stage="fallback_vector_search", duration_ms=round((time.perf_counter() - fallback_start) * 1000, 2))
log.info("graph_fallback_complete", results=len(chunks))
_MAX_GRAPH_CHUNKS = 25
@@ -213,6 +287,7 @@ def graph_retrieval_node(state: CivicSetuState) -> dict:
)
chunks = chunks[:_MAX_GRAPH_CHUNKS]
+ log.info("node_timing", node="graph_retrieval", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), results=len(chunks))
return {"retrieved_chunks": chunks}
# ── Node 3: Reranker ───────────────────────────────────────────────────────────
@@ -223,12 +298,14 @@ def reranker_node(state: CivicSetuState) -> dict:
Deduplicates by chunk_id first, then scores.
Returns: reranked_chunks (top 5 max)
"""
- from flashrank import Ranker, RerankRequest
+ from flashrank import RerankRequest
chunks = state.get("retrieved_chunks", [])
query = state.get("rewritten_query") or state["query"]
+ node_start = time.perf_counter()
if not chunks:
+ log.info("node_timing", node="reranker", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), reranked=0)
return {"reranked_chunks": []}
# Deduplicate by chunk_id
@@ -247,10 +324,14 @@ def reranker_node(state: CivicSetuState) -> dict:
rankable = [c for c in unique_chunks if not c.is_pinned]
try:
- ranker = Ranker(model_name="ms-marco-MiniLM-L-12-v2", cache_dir=".cache/flashrank")
+ init_start = time.perf_counter()
+ ranker = _get_ranker()
+ log.info("stage_timing", node="reranker", stage="ranker_init", duration_ms=round((time.perf_counter() - init_start) * 1000, 2))
passages = [{"id": i, "text": c.chunk.text} for i, c in enumerate(rankable)]
request = RerankRequest(query=query, passages=passages)
+ inference_start = time.perf_counter()
results = ranker.rerank(request)
+ log.info("stage_timing", node="reranker", stage="ranker_inference", duration_ms=round((time.perf_counter() - inference_start) * 1000, 2), passages=len(passages))
# Map scores back to chunks
id_to_chunk = {i: c for i, c in enumerate(rankable)}
@@ -270,6 +351,7 @@ def reranker_node(state: CivicSetuState) -> dict:
reranked = pinned + rankable[:slots_for_ranked]
log.info("reranker_complete", reranked=len(reranked), pinned=len(pinned))
+ log.info("node_timing", node="reranker", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), unique_chunks=len(unique_chunks), rankable=len(rankable), pinned=len(pinned), reranked=len(reranked))
return {"reranked_chunks": reranked}
@@ -284,8 +366,11 @@ def generator_node(state: CivicSetuState) -> dict:
"""
query = state["query"]
chunks: list[RetrievedChunk] = state.get("reranked_chunks", [])
+ messages = state.get("messages", [])
+ node_start = time.perf_counter()
if not chunks:
+ log.info("node_timing", node="generator", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), context_chunks=0)
return {
"raw_response": "Insufficient information found in indexed documents.",
"citations": [],
@@ -305,7 +390,34 @@ def generator_node(state: CivicSetuState) -> dict:
)
context = "\n---\n".join(context_parts)
- prompt = GENERATOR_PROMPT.format(query=query, context=context)
+ recent_messages = messages[-6:]
+ if recent_messages:
+ history_lines = []
+ for message in recent_messages:
+ role = getattr(message, "role", None)
+ content = getattr(message, "content", None)
+ if role is None and isinstance(message, dict):
+ role = message.get("role")
+ content = message.get("content")
+ if not role or not content:
+ continue
+ role_label = "User" if role == "user" else "Assistant"
+ history_lines.append(f"{role_label}: {content}")
+ conversation_history_block = (
+ "Prior conversation (for context only; answer the current question):\n"
+ + "\n".join(history_lines)
+ + "\n\n"
+ if history_lines
+ else ""
+ )
+ else:
+ conversation_history_block = ""
+
+ prompt = GENERATOR_PROMPT.format(
+ query=query,
+ context=context,
+ conversation_history_block=conversation_history_block,
+ )
system = (
"You are CivicSetu, a legal information assistant for Indian law. "
"Answer only from the provided context. "
@@ -313,10 +425,17 @@ def generator_node(state: CivicSetuState) -> dict:
"Respond with valid JSON only."
)
- log.info("generator_node", query=query[:80], context_chunks=len(chunks))
+ log.info(
+ "generator_node",
+ query=query[:80],
+ context_chunks=len(chunks),
+ history_messages=len(recent_messages),
+ )
try:
+ llm_start = time.perf_counter()
raw = _llm_call(prompt, system, temperature=0.0)
+ log.info("stage_timing", node="generator", stage="llm", duration_ms=round((time.perf_counter() - llm_start) * 1000, 2))
raw = raw.strip().removeprefix("```json").removeprefix("```").removesuffix("```").strip()
result = json.loads(raw)
@@ -382,6 +501,7 @@ def generator_node(state: CivicSetuState) -> dict:
conflict_warnings = []
amendment_notice = None
+ log.info("node_timing", node="generator", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), context_chunks=len(chunks))
return {
"raw_response": answer,
"citations": citations,
@@ -397,40 +517,16 @@ def generator_node(state: CivicSetuState) -> dict:
def validator_node(state: CivicSetuState) -> dict:
answer = state.get("raw_response", "")
chunks = state.get("reranked_chunks", [])
+ node_start = time.perf_counter()
if not answer or not chunks:
+ log.info("node_timing", node="validator", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), skipped=True)
return {"hallucination_flag": False, "confidence_score": 0.5}
- # Build context with section metadata — same format as generator_node
- # so the validator can verify citations like "Section 11(1)" actually exist
- context_parts = []
- for i, rc in enumerate(chunks, 1):
- c = rc.chunk
- context_parts.append(
- f"[{i}] {c.doc_name} — {c.section_id}: {c.section_title}\n"
- f"Effective: {c.effective_date}\n"
- f"{c.text}\n"
- )
- context = "\n---\n".join(context_parts)
-
- query_type = str(state.get("query_type", "fact_lookup"))
- prompt = VALIDATOR_PROMPT.format(
- query_type=query_type, answer=answer, context=context
- )
- system = "You are a factual grounding scorer. Respond with JSON only."
-
- try:
- raw = _llm_call(prompt, system)
- raw = raw.strip().removeprefix("```json").removeprefix("```").removesuffix("```").strip()
- result = json.loads(raw)
- updated_score = float(result.get("confidence_score", 0.5))
- hallucinated = updated_score < 0.3
- except Exception as e:
- log.warning("validator_failed", error=str(e))
- updated_score = state.get("confidence_score", 0.5)
- hallucinated = False
-
+ updated_score = state.get("confidence_score", 0.5)
+ hallucinated = updated_score < 0.2
log.info("validator_node", confidence=updated_score, hallucinated=hallucinated)
+ log.info("node_timing", node="validator", duration_ms=round((time.perf_counter() - node_start) * 1000, 2))
return {
"hallucination_flag": hallucinated,
"confidence_score": updated_score,
@@ -448,10 +544,13 @@ def hybrid_retrieval_node(state: CivicSetuState) -> dict:
query = state.get("rewritten_query") or state["query"]
top_k = state.get("top_k", 5)
jurisdiction = state.get("jurisdiction_filter")
+ node_start = time.perf_counter()
log.info("hybrid_retrieval_node", query=query[:80])
- query_embedding = _embedder.embed_query(query)
+ embed_start = time.perf_counter()
+ query_embedding = cached_embed(query)
+ log.info("stage_timing", node="hybrid_retrieval", stage="embedding", duration_ms=round((time.perf_counter() - embed_start) * 1000, 2))
async def _retrieve():
async with AsyncSessionLocal() as session:
@@ -481,7 +580,9 @@ def hybrid_retrieval_node(state: CivicSetuState) -> dict:
return v_chunks, g_chunks
+ retrieve_start = time.perf_counter()
v_chunks, g_chunks = asyncio.run(_retrieve())
+ log.info("stage_timing", node="hybrid_retrieval", stage="vector_graph_parallel", duration_ms=round((time.perf_counter() - retrieve_start) * 1000, 2))
log.info(
"hybrid_retrieval_complete",
@@ -489,5 +590,6 @@ def hybrid_retrieval_node(state: CivicSetuState) -> dict:
graph_chunks=len(g_chunks),
total=len(v_chunks) + len(g_chunks),
)
+ log.info("node_timing", node="hybrid_retrieval", duration_ms=round((time.perf_counter() - node_start) * 1000, 2), total=len(v_chunks) + len(g_chunks))
# Return both — reranker deduplicates by chunk_id
return {"retrieved_chunks": v_chunks + g_chunks}
diff --git a/src/civicsetu/agent/state.py b/src/civicsetu/agent/state.py
index 0d7c956b0d607771c50db19ca77b6b08052b694d..72846b26af252e641f870f199c549f9cf079cc00 100644
--- a/src/civicsetu/agent/state.py
+++ b/src/civicsetu/agent/state.py
@@ -1,12 +1,12 @@
from __future__ import annotations
import operator
-from typing import Annotated
+from typing import Annotated, NotRequired
from typing_extensions import TypedDict
from civicsetu.models.enums import Jurisdiction, QueryType
-from civicsetu.models.schemas import Citation, RetrievedChunk
+from civicsetu.models.schemas import ChatMessage, Citation, RetrievedChunk
class CivicSetuState(TypedDict):
@@ -15,13 +15,14 @@ class CivicSetuState(TypedDict):
session_id: str | None
jurisdiction_filter: Jurisdiction | None
top_k: int
+ messages: Annotated[list[ChatMessage], operator.add]
# ── Classification ─────────────────────────────────────────────────────────
query_type: QueryType | None
rewritten_query: str | None # expanded/clarified query
# ── Retrieval ──────────────────────────────────────────────────────────────
- retrieved_chunks: Annotated[list[RetrievedChunk], operator.add]
+ retrieved_chunks: list[RetrievedChunk]
reranked_chunks: list[RetrievedChunk]
# ── Generation ─────────────────────────────────────────────────────────────
@@ -35,3 +36,5 @@ class CivicSetuState(TypedDict):
retry_count: int
hallucination_flag: bool
error: str | None
+ skip_classifier: NotRequired[bool]
+ source_section_id: NotRequired[str]
diff --git a/src/civicsetu/api/main.py b/src/civicsetu/api/main.py
index 1850b08e8726975d4539b34a351dd4a892506eb7..74d3abbdc9310b391b9b4e89444de5d578baec01 100644
--- a/src/civicsetu/api/main.py
+++ b/src/civicsetu/api/main.py
@@ -1,455 +1,39 @@
from __future__ import annotations
+import asyncio
+import time
from contextlib import asynccontextmanager
import structlog
from fastapi import FastAPI
-from fastapi.responses import HTMLResponse
from fastapi.middleware.cors import CORSMiddleware
from civicsetu.api.middleware.logging import LoggingMiddleware
-from civicsetu.api.routes import health, query
+from civicsetu.api.routes import health, query, graph
from civicsetu.config.settings import get_settings
-from civicsetu.stores.graph_store import get_driver, close_driver
+from civicsetu.stores.graph_store import close_driver, get_driver
log = structlog.get_logger(__name__)
settings = get_settings()
-def get_landing_page_html() -> str:
- return """
-
-
-
- CivicSetu — AI-Powered RERA Research
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
CivicSetu
-
RERA Research Engine
-
-
-
-
-
- Live
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
- AI-Powered RERA Research
-
-
- Query Indian real estate regulations across 5 jurisdictions. Get cited, structured answers
- with cross-reference traversal and conflict detection — powered by LangGraph agents.
-
-
-
-
-
-
-
-
- All India
- RERA Act (Central)
- Maharashtra
- Uttar Pradesh
- Karnataka
- Tamil Nadu
-
-
-
-
-
- Ask
-
-
-
-
-
- Try:
-
- What are promoter obligations under RERA?
-
-
- Penalties for delayed possession
-
-
- Agent registration requirements
-
-
- Complaint filing process
-
-
-
-
-
-
-
-
-
Analyzing RERA regulations...
-
-
This may take 10-15 seconds
-
-
-
-
-
-
-
-
-
-
-
- Legal Citations
-
-
-
-
-
-
-
-
-
-
- Legal Disclaimer: This is AI-generated legal information, not legal advice.
- Always verify with a qualified lawyer or the official gazette before making any legal decisions.
-
-
-
-
-
-
-
-
-
5-Jurisdiction Coverage
-
Central RERA Act + Maharashtra, UP, Karnataka, and Tamil Nadu state rules
-
-
-
-
Cross-Reference Graph
-
Neo4j-powered traversal between sections and DERIVED_FROM relationships
-
-
-
-
Hallucination Detection
-
Validator agent with confidence scoring and citation verification
-
-
-
-
-
Document Coverage
-
-
-
RERA
-
-
RERA Act 2016
-
Central • 224 sections
-
-
-
-
MH
-
-
Maharashtra Rules 2017
-
Maharashtra • 214 sections
-
-
-
-
UP
-
-
UP RERA Rules 2016
-
Uttar Pradesh
-
-
-
-
KA
-
-
Karnataka Rules 2017
-
Karnataka
-
-
-
-
TN
-
-
Tamil Nadu Rules 2017
-
Tamil Nadu
-
-
-
-
-
-
-
-
-
-
- CivicSetu — Open-source RAG for Indian civic documents
-
-
-
-
-
-
-
-
-
-"""
+def create_checkpointer():
+ from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
+ from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+
+ serde = JsonPlusSerializer(
+ allowed_msgpack_modules=[
+ ("civicsetu.models.schemas", "ChatMessage"),
+ ("civicsetu.models.schemas", "Citation"),
+ ("civicsetu.models.schemas", "LegalChunk"),
+ ("civicsetu.models.schemas", "RetrievedChunk"),
+ ("civicsetu.models.enums", "ChunkStatus"),
+ ("civicsetu.models.enums", "DocType"),
+ ("civicsetu.models.enums", "Jurisdiction"),
+ ("civicsetu.models.enums", "QueryType"),
+ ]
+ )
+ return AsyncPostgresSaver.from_conn_string(settings.postgres_conninfo, serde=serde)
@asynccontextmanager
@@ -457,14 +41,33 @@ async def lifespan(app: FastAPI):
"""Startup and shutdown events."""
log.info("civicsetu_starting", env=settings.api_env)
- # Pre-compile the graph once at startup — not on first request
from civicsetu.agent.graph import get_compiled_graph
- app.state.graph = get_compiled_graph()
- log.info("langgraph_compiled")
- await get_driver()
- yield
- await close_driver()
- log.info("civicsetu_shutdown")
+
+ async with create_checkpointer() as checkpointer:
+ await checkpointer.setup()
+ app.state.checkpointer = checkpointer
+ app.state.graph = get_compiled_graph(checkpointer=checkpointer)
+ log.info("langgraph_compiled", checkpointing=True)
+ await get_driver()
+ from civicsetu.retrieval import warm_embedding_model
+
+ warm_start = time.perf_counter()
+ await asyncio.to_thread(warm_embedding_model)
+ log.info(
+ "embedding_model_warmed",
+ duration_ms=round((time.perf_counter() - warm_start) * 1000, 2),
+ )
+ from civicsetu.agent.nodes import _get_ranker
+
+ ranker_start = time.perf_counter()
+ await asyncio.to_thread(_get_ranker)
+ log.info(
+ "reranker_warmed",
+ duration_ms=round((time.perf_counter() - ranker_start) * 1000, 2),
+ )
+ yield
+ await close_driver()
+ log.info("civicsetu_shutdown")
def create_app() -> FastAPI:
@@ -477,13 +80,10 @@ def create_app() -> FastAPI:
redoc_url="/redoc",
)
- @app.get("/", include_in_schema=False)
- async def landing_page():
- return HTMLResponse(get_landing_page_html())
-
app.add_middleware(
CORSMiddleware,
- allow_origins=["*"] if not settings.is_production else [],
+ allow_origins=settings.allowed_origins,
+ allow_credentials=True,
allow_methods=["GET", "POST"],
allow_headers=["*"],
)
@@ -491,8 +91,8 @@ def create_app() -> FastAPI:
app.include_router(health.router, tags=["health"])
app.include_router(query.router, prefix="/api/v1", tags=["query"])
+ app.include_router(graph.router, prefix="/api/v1", tags=["graph"])
return app
-
app = create_app()
diff --git a/src/civicsetu/api/routes/graph.py b/src/civicsetu/api/routes/graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..d84d9d764c5353fbec826e2ab73a257c6dc3877a
--- /dev/null
+++ b/src/civicsetu/api/routes/graph.py
@@ -0,0 +1,261 @@
+from __future__ import annotations
+
+import asyncio
+import time
+import uuid
+
+import structlog
+from fastapi import APIRouter, HTTPException, Path, Query, Request
+from sqlalchemy import text
+
+from civicsetu.guardrails.input_guard import InputGuard
+from civicsetu.guardrails.output_guard import OutputGuard
+from civicsetu.models.enums import Jurisdiction, QueryType
+from civicsetu.models.schemas import (
+ ChatMessage,
+ CivicSetuResponse,
+ ConnectedSectionOut,
+ GraphEdge,
+ GraphNode,
+ GraphTopologyResponse,
+ InsufficientInfoResponse,
+ SectionChunkOut,
+ SectionContentResponse,
+ SectionContextQueryRequest,
+)
+from civicsetu.stores.graph_store import GraphStore
+from civicsetu.stores.relational_store import AsyncSessionLocal
+
+log = structlog.get_logger(__name__)
+router = APIRouter()
+
+_topo_cache: dict = {"data": None, "ts": 0.0}
+_TOPO_TTL = 300
+
+
+@router.get("/graph/topology", response_model=GraphTopologyResponse)
+async def get_graph_topology() -> GraphTopologyResponse:
+ """All connected Section nodes and REFERENCES/DERIVED_FROM edges."""
+ now = time.monotonic()
+ if _topo_cache["data"] is not None and (now - _topo_cache["ts"]) < _TOPO_TTL:
+ log.info("topology_cache_hit")
+ return _topo_cache["data"]
+
+ try:
+ nodes_raw, edges_raw = await GraphStore.get_topology()
+ stats = await GraphStore.graph_stats()
+ except Exception as e:
+ log.error("topology_fetch_failed", error=str(e))
+ raise HTTPException(status_code=500, detail=f"Graph topology fetch failed: {e}")
+
+ response = GraphTopologyResponse(
+ nodes=[GraphNode(**n) for n in nodes_raw],
+ edges=[GraphEdge(**e) for e in edges_raw],
+ stats=stats,
+ )
+ _topo_cache["data"] = response
+ _topo_cache["ts"] = now
+ log.info("topology_cache_updated", nodes=len(response.nodes), edges=len(response.edges))
+ return response
+
+
+@router.get("/graph/section/{section_id:path}", response_model=SectionContentResponse)
+async def get_section_content(
+ section_id: str = Path(..., description="Section ID, e.g. 'Section 18'"),
+ jurisdiction: str = Query(..., description="Jurisdiction enum value, e.g. 'CENTRAL'"),
+ chunk_id: str | None = Query(default=None, description="Optional chunk id from the graph node"),
+) -> SectionContentResponse:
+ """Stitched section text from Postgres plus connected sections from Neo4j."""
+ async with AsyncSessionLocal() as db:
+ resolved_section_id = section_id
+ resolved_jurisdiction = jurisdiction
+
+ if chunk_id:
+ node_result = await db.execute(
+ text(
+ """
+ SELECT
+ section_id,
+ jurisdiction
+ FROM legal_chunks
+ WHERE chunk_id::text = :chunk_id
+ AND lower(status) = 'active'
+ LIMIT 1
+ """
+ ),
+ {"chunk_id": chunk_id},
+ )
+ node_row = node_result.mappings().first()
+ if node_row:
+ resolved_section_id = node_row["section_id"]
+ resolved_jurisdiction = node_row["jurisdiction"]
+
+ result = await db.execute(
+ text(
+ """
+ SELECT
+ chunk_id::text AS chunk_id,
+ section_id,
+ section_title,
+ text,
+ page_number,
+ doc_name,
+ jurisdiction,
+ effective_date,
+ source_url
+ FROM legal_chunks
+ WHERE section_id = :section_id
+ AND jurisdiction = :jurisdiction
+ AND lower(status) = 'active'
+ ORDER BY page_number ASC
+ """
+ ),
+ {"section_id": resolved_section_id, "jurisdiction": resolved_jurisdiction},
+ )
+ rows = result.mappings().all()
+
+ if not rows:
+ raise HTTPException(
+ status_code=404,
+ detail=(
+ f"No chunks found for section_id='{section_id}' jurisdiction='{jurisdiction}'"
+ + (f" chunk_id='{chunk_id}'" if chunk_id else "")
+ ),
+ )
+
+ first = rows[0]
+ chunks = [
+ SectionChunkOut(chunk_id=row["chunk_id"], text=row["text"], page_number=row["page_number"])
+ for row in rows
+ ]
+
+ refs_out, refs_in, derived_out, derived_in = await asyncio.gather(
+ GraphStore.get_referenced_sections(resolved_section_id, resolved_jurisdiction),
+ GraphStore.get_sections_referencing(resolved_section_id, resolved_jurisdiction),
+ GraphStore.get_derived_act_sections(resolved_section_id, resolved_jurisdiction),
+ GraphStore.get_deriving_rule_sections(resolved_section_id, resolved_jurisdiction),
+ return_exceptions=True,
+ )
+
+ def _safe_connections(result: object, edge_type: str) -> list[ConnectedSectionOut]:
+ if isinstance(result, Exception):
+ log.warning("connected_sections_partial_failure", edge_type=edge_type, error=str(result))
+ return []
+ return [
+ ConnectedSectionOut(
+ section_id=row["section_id"],
+ title=row.get("title", ""),
+ jurisdiction=row.get("jurisdiction", resolved_jurisdiction),
+ edge_type=edge_type,
+ )
+ for row in result # type: ignore[union-attr]
+ ]
+
+ connected = (
+ _safe_connections(refs_out, "REFERENCES_OUT")
+ + _safe_connections(refs_in, "REFERENCES_IN")
+ + _safe_connections(derived_out, "DERIVED_FROM_OUT")
+ + _safe_connections(derived_in, "DERIVED_FROM_IN")
+ )
+
+ log.info(
+ "section_content_fetched",
+ section_id=resolved_section_id,
+ jurisdiction=resolved_jurisdiction,
+ chunks=len(chunks),
+ connected=len(connected),
+ )
+
+ return SectionContentResponse(
+ section_id=first.get("section_id", resolved_section_id),
+ title=first["section_title"],
+ doc_name=first["doc_name"],
+ jurisdiction=resolved_jurisdiction,
+ effective_date=str(first["effective_date"]) if first["effective_date"] else None,
+ source_url=first["source_url"],
+ chunks=chunks,
+ connected_sections=connected,
+ )
+
+
+@router.post("/query/section-context", response_model=CivicSetuResponse | InsufficientInfoResponse)
+async def section_context_query(
+ request: Request,
+ body: SectionContextQueryRequest,
+) -> CivicSetuResponse | InsufficientInfoResponse:
+ """Bypass the classifier and route directly into graph retrieval for a chosen section."""
+ guard_result = InputGuard.check(body.query)
+ if not guard_result.is_safe:
+ log.info("section_context_rejected", reason=guard_result.reason)
+ raise HTTPException(status_code=400, detail=guard_result.reason)
+
+ try:
+ jurisdiction = Jurisdiction(body.jurisdiction)
+ except ValueError:
+ raise HTTPException(status_code=422, detail=f"Invalid jurisdiction: '{body.jurisdiction}'")
+
+ safe_query = guard_result.sanitized_query
+ session_id = body.session_id or str(uuid.uuid4())
+ graph = request.app.state.graph
+ config = {"configurable": {"thread_id": session_id}}
+
+ initial_state = {
+ "query": safe_query,
+ "session_id": session_id,
+ "jurisdiction_filter": jurisdiction,
+ "top_k": 5,
+ "messages": [ChatMessage(role="user", content=safe_query)],
+ "source_section_id": body.section_id,
+ "query_type": QueryType.CROSS_REFERENCE,
+ "rewritten_query": safe_query,
+ "skip_classifier": True,
+ "retrieved_chunks": [],
+ "reranked_chunks": [],
+ "raw_response": None,
+ "citations": [],
+ "confidence_score": 0.0,
+ "conflict_warnings": [],
+ "amendment_notice": None,
+ "retry_count": 0,
+ "hallucination_flag": False,
+ "error": None,
+ }
+
+ try:
+ invoke_start = time.perf_counter()
+ result = await asyncio.to_thread(graph.invoke, initial_state, config)
+ log.info(
+ "graph_invoke_complete",
+ route="section_context",
+ duration_ms=round((time.perf_counter() - invoke_start) * 1000, 2),
+ )
+ except Exception as e:
+ log.error("section_context_invoke_failed", error=str(e))
+ raise HTTPException(status_code=500, detail=str(e))
+
+ raw_response = result.get("raw_response")
+ if raw_response:
+ try:
+ update_start = time.perf_counter()
+ await asyncio.to_thread(
+ graph.update_state,
+ config,
+ {"messages": [ChatMessage(role="assistant", content=raw_response)]},
+ )
+ log.info(
+ "graph_update_state_complete",
+ route="section_context",
+ duration_ms=round((time.perf_counter() - update_start) * 1000, 2),
+ )
+ except Exception as e:
+ log.warning("section_context_update_state_failed", error=str(e))
+
+ output_start = time.perf_counter()
+ result["session_id"] = session_id
+ response = OutputGuard.process(result, original_query=body.query)
+ log.info(
+ "output_guard_complete",
+ route="section_context",
+ duration_ms=round((time.perf_counter() - output_start) * 1000, 2),
+ )
+ return response
diff --git a/src/civicsetu/api/routes/query.py b/src/civicsetu/api/routes/query.py
index a92a74b546cbe683de5a0694c58fbf430d9de3a3..4723d653bd9c3ac22bd0c8686641462d1dbe6e96 100644
--- a/src/civicsetu/api/routes/query.py
+++ b/src/civicsetu/api/routes/query.py
@@ -1,18 +1,15 @@
from __future__ import annotations
import asyncio
+import time
+import uuid
import structlog
from fastapi import APIRouter, HTTPException, Request
from civicsetu.guardrails.input_guard import InputGuard
from civicsetu.guardrails.output_guard import OutputGuard
-from civicsetu.models.enums import QueryType
-from civicsetu.models.schemas import (
- CivicSetuResponse,
- InsufficientInfoResponse,
- QueryRequest,
-)
+from civicsetu.models.schemas import CivicSetuResponse, ChatMessage, InsufficientInfoResponse, QueryRequest
log = structlog.get_logger(__name__)
router = APIRouter()
@@ -20,23 +17,22 @@ router = APIRouter()
@router.post("/query", response_model=CivicSetuResponse | InsufficientInfoResponse)
async def query_endpoint(request: Request, body: QueryRequest):
- # ── 1. Input guard ────────────────────────────────────────────────────────
guard_result = InputGuard.check(body.query)
if not guard_result.is_safe:
log.info("query_rejected_by_input_guard", reason=guard_result.reason)
raise HTTPException(status_code=400, detail=guard_result.reason)
- # Use sanitized query downstream (strips whitespace, no PII)
safe_query = guard_result.sanitized_query
-
- # ── 2. Build initial state ────────────────────────────────────────────────
+ session_id = body.session_id or str(uuid.uuid4())
graph = request.app.state.graph
+ config = {"configurable": {"thread_id": session_id}}
initial_state = {
"query": safe_query,
- "session_id": body.session_id,
+ "session_id": session_id,
"jurisdiction_filter": body.jurisdiction_filter,
"top_k": body.top_k,
+ "messages": [ChatMessage(role="user", content=safe_query)],
"query_type": None,
"rewritten_query": None,
"retrieved_chunks": [],
@@ -51,12 +47,41 @@ async def query_endpoint(request: Request, body: QueryRequest):
"error": None,
}
- # ── 3. Invoke graph ───────────────────────────────────────────────────────
try:
- result = await asyncio.to_thread(graph.invoke, initial_state)
+ invoke_start = time.perf_counter()
+ result = await asyncio.to_thread(graph.invoke, initial_state, config)
+ log.info(
+ "graph_invoke_complete",
+ route="query",
+ duration_ms=round((time.perf_counter() - invoke_start) * 1000, 2),
+ )
except Exception as e:
log.error("graph_invoke_failed", error=str(e))
raise HTTPException(status_code=500, detail=str(e))
- # ── 4. Output guard ───────────────────────────────────────────────────────
- return OutputGuard.process(result, original_query=body.query)
+ raw_response = result.get("raw_response")
+ if raw_response:
+ try:
+ update_start = time.perf_counter()
+ await asyncio.to_thread(
+ graph.update_state,
+ config,
+ {"messages": [ChatMessage(role="assistant", content=raw_response)]},
+ )
+ log.info(
+ "graph_update_state_complete",
+ route="query",
+ duration_ms=round((time.perf_counter() - update_start) * 1000, 2),
+ )
+ except Exception as e:
+ log.warning("graph_update_state_failed", error=str(e))
+
+ output_start = time.perf_counter()
+ result["session_id"] = session_id
+ response = OutputGuard.process(result, original_query=body.query)
+ log.info(
+ "output_guard_complete",
+ route="query",
+ duration_ms=round((time.perf_counter() - output_start) * 1000, 2),
+ )
+ return response
diff --git a/src/civicsetu/config/settings.py b/src/civicsetu/config/settings.py
index c67df1f0c850af5710a218679802760297246bab..9b769f93f9ecfe5fbe070c39059cf1935bfdc828 100644
--- a/src/civicsetu/config/settings.py
+++ b/src/civicsetu/config/settings.py
@@ -1,7 +1,8 @@
+from typing import Annotated
from functools import lru_cache
-from pydantic import Field
-from pydantic_settings import BaseSettings, SettingsConfigDict
+from pydantic import Field, field_validator
+from pydantic_settings import BaseSettings, NoDecode, SettingsConfigDict
class Settings(BaseSettings):
@@ -28,6 +29,10 @@ class Settings(BaseSettings):
default="openrouter/meta-llama/llama-3.3-70b-instruct:free",
alias="FALLBACK_MODEL_2",
)
+ fallback_model_3: str = Field(
+ default="openrouter/qwen/qwen3.6-plus:free",
+ alias="FALLBACK_MODEL_3",
+ )
local_model: str = Field(default="ollama/mistral", alias="LOCAL_MODEL")
# Embeddings
@@ -54,6 +59,10 @@ class Settings(BaseSettings):
api_host: str = Field(default="0.0.0.0", alias="API_HOST")
api_port: int = Field(default=8000, alias="API_PORT")
api_env: str = Field(default="development", alias="API_ENV")
+ allowed_origins: Annotated[list[str], NoDecode] = Field(
+ default=["http://localhost:3000"],
+ alias="ALLOWED_ORIGINS",
+ )
# Observability
phoenix_host: str = Field(default="localhost", alias="PHOENIX_HOST")
@@ -66,6 +75,15 @@ class Settings(BaseSettings):
)
log_level: str = Field(default="INFO", alias="LOG_LEVEL")
+ @field_validator("allowed_origins", mode="before")
+ @classmethod
+ def parse_allowed_origins(cls, value: str | list[str]) -> list[str]:
+ if isinstance(value, list):
+ return value
+ if isinstance(value, str):
+ return [origin.strip() for origin in value.split(",") if origin.strip()]
+ return value
+
@property
def postgres_dsn(self) -> str:
return (
@@ -73,6 +91,13 @@ class Settings(BaseSettings):
f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db}"
)
+ @property
+ def postgres_conninfo(self) -> str:
+ return (
+ f"postgresql://{self.postgres_user}:{self.postgres_password}"
+ f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db}"
+ )
+
@property
def is_production(self) -> bool:
return self.api_env == "production"
diff --git a/src/civicsetu/guardrails/output_guard.py b/src/civicsetu/guardrails/output_guard.py
index ac5ef65903fac3b43cae620ffea04c048075ea20..99fad39c664a5a65dc6b53890c9bb6b44006f65f 100644
--- a/src/civicsetu/guardrails/output_guard.py
+++ b/src/civicsetu/guardrails/output_guard.py
@@ -44,7 +44,10 @@ class OutputGuard:
# 1 — No citations → always InsufficientInfoResponse
if not citations:
log.info("output_guard_no_citations", query_preview=original_query[:80])
- return InsufficientInfoResponse(searched_query=original_query)
+ return InsufficientInfoResponse(
+ searched_query=original_query,
+ session_id=result.get("session_id"),
+ )
# 2 — Confidence below floor → downgrade
if confidence < _CONFIDENCE_FLOOR:
@@ -54,7 +57,10 @@ class OutputGuard:
floor=_CONFIDENCE_FLOOR,
query_preview=original_query[:80],
)
- return InsufficientInfoResponse(searched_query=original_query)
+ return InsufficientInfoResponse(
+ searched_query=original_query,
+ session_id=result.get("session_id"),
+ )
# 3 — Build response (disclaimer is a default field on CivicSetuResponse,
# but we enforce it here explicitly so no future refactor silently drops it)
@@ -66,6 +72,7 @@ class OutputGuard:
query_type_resolved=result.get("query_type") or QueryType.FACT_LOOKUP,
conflict_warnings=result.get("conflict_warnings", []),
amendment_notice=result.get("amendment_notice"),
+ session_id=result.get("session_id"),
)
# Sanity check — disclaimer must survive serialization unchanged
diff --git a/src/civicsetu/models/schemas.py b/src/civicsetu/models/schemas.py
index 20722c25f0bc59e341b650ef0fe23e266a73d1fd..44dec1dc8b07930064a66b10a3040901b0e81b02 100644
--- a/src/civicsetu/models/schemas.py
+++ b/src/civicsetu/models/schemas.py
@@ -1,137 +1,200 @@
from __future__ import annotations
from datetime import date, datetime
-from typing import Optional
+from typing import Literal, Optional
from uuid import UUID, uuid4
from pydantic import BaseModel, Field, computed_field
from civicsetu.models.enums import (
- ChunkStatus,
- ConfidenceLevel,
- DocType,
- Jurisdiction,
- QueryType,
+ ChunkStatus,
+ ConfidenceLevel,
+ DocType,
+ Jurisdiction,
+ QueryType,
)
# ── Ingestion Schemas ──────────────────────────────────────────────────────────
class LegalChunk(BaseModel):
- """Canonical unit produced by the ingestion pipeline.
- Every downstream store (pgvector, Neo4j, Postgres) is populated from this."""
-
- chunk_id: UUID = Field(default_factory=uuid4)
- doc_id: UUID
- jurisdiction: Jurisdiction
- doc_type: DocType
- doc_name: str
- section_id: str # e.g. "Section 18", "Rule 12"
- section_title: str
- section_hierarchy: list[str] # e.g. ["Part IV", "Chapter 2", "Section 18"]
- text: str
- effective_date: date | None = None
- superseded_by: UUID | None = None
- status: ChunkStatus = ChunkStatus.ACTIVE
- source_url: str
- page_number: int
- embedding: list[float] | None = None # populated after embedding step
-
- @computed_field
- @property
- def citation_label(self) -> str:
- """Human-readable citation string."""
- return f"{self.doc_name} — {self.section_id}"
+ """Canonical unit produced by the ingestion pipeline.
+ Every downstream store (pgvector, Neo4j, Postgres) is populated from this."""
+
+ chunk_id: UUID = Field(default_factory=uuid4)
+ doc_id: UUID
+ jurisdiction: Jurisdiction
+ doc_type: DocType
+ doc_name: str
+ section_id: str # e.g. "Section 18", "Rule 12"
+ section_title: str
+ section_hierarchy: list[str] # e.g. ["Part IV", "Chapter 2", "Section 18"]
+ text: str
+ effective_date: date | None = None
+ superseded_by: UUID | None = None
+ status: ChunkStatus = ChunkStatus.ACTIVE
+ source_url: str
+ page_number: int
+ embedding: list[float] | None = None # populated after embedding step
+
+ @computed_field
+ @property
+ def citation_label(self) -> str:
+ """Human-readable citation string."""
+ return f"{self.doc_name} — {self.section_id}"
class IngestedDocument(BaseModel):
- """Metadata record for a fully ingested document."""
+ """Metadata record for a fully ingested document."""
- doc_id: UUID = Field(default_factory=uuid4)
- doc_name: str
- jurisdiction: Jurisdiction
- doc_type: DocType
- source_url: str
- effective_date: date | None = None
- gazette_number: str | None = None
- total_chunks: int = 0
- ingested_at: datetime = Field(default_factory=datetime.utcnow)
- is_active: bool = True
+ doc_id: UUID = Field(default_factory=uuid4)
+ doc_name: str
+ jurisdiction: Jurisdiction
+ doc_type: DocType
+ source_url: str
+ effective_date: date | None = None
+ gazette_number: str | None = None
+ total_chunks: int = 0
+ ingested_at: datetime = Field(default_factory=datetime.utcnow)
+ is_active: bool = True
# ── Retrieval Schemas ──────────────────────────────────────────────────────────
class RetrievedChunk(BaseModel):
- """A LegalChunk enriched with retrieval scores."""
+ """A LegalChunk enriched with retrieval scores."""
- chunk: LegalChunk
- vector_score: float | None = None # cosine similarity from pgvector
- rerank_score: float | None = None # cross-encoder score from FlashRank
- retrieval_source: str = "vector" # "vector" | "graph" | "metadata"
- graph_path: Optional[str] = None
- is_pinned: bool = False
+ chunk: LegalChunk
+ vector_score: float | None = None # cosine similarity from pgvector
+ rerank_score: float | None = None # cross-encoder score from FlashRank
+ retrieval_source: str = "vector" # "vector" | "graph" | "metadata"
+ graph_path: Optional[str] = None
+ is_pinned: bool = False
# ── Response Schemas ───────────────────────────────────────────────────────────
class Citation(BaseModel):
- """Traceable citation attached to every answer — non-negotiable."""
+ """Traceable citation attached to every answer — non-negotiable."""
- section_id: str
- doc_name: str
- jurisdiction: Jurisdiction
- effective_date: date | None
- source_url: str
- chunk_id: UUID
+ section_id: str
+ doc_name: str
+ jurisdiction: Jurisdiction
+ effective_date: date | None
+ source_url: str
+ chunk_id: UUID
+
+
+class ChatMessage(BaseModel):
+ """A single conversational message."""
+
+ role: Literal["user", "assistant"]
+ content: str
class CivicSetuResponse(BaseModel):
- """The immutable public response contract. Shape never changes between phases."""
-
- answer: str
- citations: list[Citation] = Field(min_length=1)
- confidence_score: float = Field(ge=0.0, le=1.0)
- query_type_resolved: QueryType
- conflict_warnings: list[str] = Field(default_factory=list)
- amendment_notice: str | None = None
- disclaimer: str = (
- "This is AI-generated information, not legal advice. "
- "Consult a qualified lawyer for your specific situation."
- )
-
- @computed_field
- @property
- def confidence_level(self) -> ConfidenceLevel:
- if self.confidence_score >= 0.75:
- return ConfidenceLevel.HIGH
- elif self.confidence_score >= 0.50:
- return ConfidenceLevel.MEDIUM
- return ConfidenceLevel.LOW
+ """The immutable public response contract. Shape never changes between phases."""
+
+ answer: str
+ citations: list[Citation] = Field(min_length=1)
+ confidence_score: float = Field(ge=0.0, le=1.0)
+ query_type_resolved: QueryType
+ conflict_warnings: list[str] = Field(default_factory=list)
+ amendment_notice: str | None = None
+ session_id: str | None = None
+ disclaimer: str = (
+ "This is AI-generated information, not legal advice. "
+ "Consult a qualified lawyer for your specific situation."
+ )
+
+ @computed_field
+ @property
+ def confidence_level(self) -> ConfidenceLevel:
+ if self.confidence_score >= 0.75:
+ return ConfidenceLevel.HIGH
+ elif self.confidence_score >= 0.50:
+ return ConfidenceLevel.MEDIUM
+ return ConfidenceLevel.LOW
class InsufficientInfoResponse(BaseModel):
- """Returned when no citation can be found. Prevents hallucinated answers."""
+ """Returned when no citation can be found. Prevents hallucinated answers."""
- answer: str = "Insufficient information found in indexed documents."
- searched_query: str
- disclaimer: str = (
- "This is AI-generated information, not legal advice. "
- "Consult a qualified lawyer for your specific situation."
- )
+ answer: str = "Insufficient information found in indexed documents."
+ searched_query: str
+ session_id: str | None = None
+ disclaimer: str = (
+ "This is AI-generated information, not legal advice. "
+ "Consult a qualified lawyer for your specific situation."
+ )
# ── API Request Schemas ────────────────────────────────────────────────────────
class QueryRequest(BaseModel):
- query: str = Field(min_length=5, max_length=1000)
- session_id: str | None = None
- jurisdiction_filter: Jurisdiction | None = None
- top_k: int = Field(default=5, ge=1, le=20)
+ query: str = Field(min_length=5, max_length=1000)
+ session_id: str | None = None
+ jurisdiction_filter: Jurisdiction | None = None
+ top_k: int = Field(default=5, ge=1, le=20)
class IngestRequest(BaseModel):
- source_url: str
- doc_name: str
- jurisdiction: Jurisdiction
- doc_type: DocType
- effective_date: date | None = None
- gazette_number: str | None = None
+ source_url: str
+ doc_name: str
+ jurisdiction: Jurisdiction
+ doc_type: DocType
+ effective_date: date | None = None
+ gazette_number: str | None = None
+
+# ── Graph API Schemas ──────────────────────────────────────────────────────────
+
+class GraphNode(BaseModel):
+ chunk_id: str
+ section_id: str
+ title: str
+ jurisdiction: str
+ doc_name: str
+ is_active: bool
+ connection_count: int
+
+
+class GraphEdge(BaseModel):
+ source: str # chunk_id
+ target: str # chunk_id
+ edge_type: str # "REFERENCES" | "DERIVED_FROM"
+
+
+class GraphTopologyResponse(BaseModel):
+ nodes: list[GraphNode]
+ edges: list[GraphEdge]
+ stats: dict
+
+
+class SectionChunkOut(BaseModel):
+ chunk_id: str
+ text: str
+ page_number: int
+
+
+class ConnectedSectionOut(BaseModel):
+ section_id: str
+ title: str
+ jurisdiction: str
+ edge_type: str # REFERENCES_OUT | REFERENCES_IN | DERIVED_FROM_OUT | DERIVED_FROM_IN
+
+
+class SectionContentResponse(BaseModel):
+ section_id: str
+ title: str
+ doc_name: str
+ jurisdiction: str
+ effective_date: str | None
+ source_url: str
+ chunks: list[SectionChunkOut]
+ connected_sections: list[ConnectedSectionOut]
+
+
+class SectionContextQueryRequest(BaseModel):
+ query: str = Field(min_length=5, max_length=1000)
+ section_id: str
+ jurisdiction: str
+ session_id: str | None = None
\ No newline at end of file
diff --git a/src/civicsetu/prompts/generator.py b/src/civicsetu/prompts/generator.py
index e00e44ad01bce4727e9adb916b486c01ff15cb90..5cadc6fd0bd36216ab378d6d8864c62c3dad2288 100644
--- a/src/civicsetu/prompts/generator.py
+++ b/src/civicsetu/prompts/generator.py
@@ -1,4 +1,4 @@
-GENERATOR_PROMPT = """Answer the following legal question using ONLY the provided context.
+GENERATOR_PROMPT = """{conversation_history_block}Answer the following legal question using ONLY the provided context.
Question: {query}
@@ -7,7 +7,7 @@ Context:
Respond with JSON:
{{
- "answer": "",
+ "answer": "",
"confidence_score": <0.0 to 1.0 based on how well context supports the answer>,
"cited_chunks": [<1-based indices of ONLY the context items you actually used in your answer>],
"amendment_notice": null,
@@ -16,6 +16,9 @@ Respond with JSON:
Rules:
- Only use information present in the context above
+- Format the answer field as GitHub-flavored Markdown
+- Prefer concise markdown paragraphs and bullet lists; use tables only when comparing provisions or jurisdictions
+- Do not wrap the answer in markdown code fences
- Reference specific section numbers in your answer (e.g. "Section 18", "Rule 3")
- In cited_chunks, list ONLY the [N] indices you directly drew from — not every item in context
- If you used [1] and [3] but not [2], [4], [5] → cited_chunks: [1, 3]
@@ -23,4 +26,4 @@ Rules:
- Never invent section numbers or legal provisions
- conflict_warnings: list any direct contradictions found between provisions across jurisdictions
- amendment_notice: note if any provision appears superseded or amended, otherwise null
-"""
\ No newline at end of file
+"""
diff --git a/src/civicsetu/retrieval/__init__.py b/src/civicsetu/retrieval/__init__.py
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..98c0104262a69a6e850c7fc35d81099c026f27a4 100644
--- a/src/civicsetu/retrieval/__init__.py
+++ b/src/civicsetu/retrieval/__init__.py
@@ -0,0 +1,28 @@
+from __future__ import annotations
+
+import structlog
+
+from civicsetu.ingestion.embedder import Embedder
+from civicsetu.retrieval.cache import embedding_cache, make_key
+
+log = structlog.get_logger(__name__)
+_embedder = Embedder()
+
+
+def cached_embed(query: str) -> list[float]:
+ """Embed query text with a short-lived in-process cache."""
+ key = make_key(query)
+ cached = embedding_cache.get(key)
+ if cached is not None:
+ log.debug("embedding_cache_hit", query=query[:60])
+ return cached
+
+ log.debug("embedding_cache_miss", query=query[:60])
+ embedding = _embedder.embed_query(query)
+ embedding_cache[key] = embedding
+ return embedding
+
+
+def warm_embedding_model() -> None:
+ """Load the embedding model during startup instead of the first user request."""
+ cached_embed("warmup")
diff --git a/src/civicsetu/retrieval/cache.py b/src/civicsetu/retrieval/cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..cfe9d94b4a03291599f2b6f69296fe1a5377cb7a
--- /dev/null
+++ b/src/civicsetu/retrieval/cache.py
@@ -0,0 +1,15 @@
+from __future__ import annotations
+
+import hashlib
+
+from cachetools import TTLCache
+
+embedding_cache: TTLCache = TTLCache(maxsize=512, ttl=3600)
+retrieval_cache: TTLCache = TTLCache(maxsize=256, ttl=900)
+graph_cache: TTLCache = TTLCache(maxsize=256, ttl=900)
+
+
+def make_key(*parts: object) -> str:
+ """Return a stable SHA-256 cache key for normalized stringified parts."""
+ normalized = "|".join(str(part).strip().lower() for part in parts)
+ return hashlib.sha256(normalized.encode("utf-8")).hexdigest()
diff --git a/src/civicsetu/retrieval/graph_retriever.py b/src/civicsetu/retrieval/graph_retriever.py
index 61a2c623673fb8ca8efd6a7978f77d6ca06eb4ba..93beaeeecc18a86c43d7e564f913c53fd917b7bf 100644
--- a/src/civicsetu/retrieval/graph_retriever.py
+++ b/src/civicsetu/retrieval/graph_retriever.py
@@ -5,6 +5,7 @@ import structlog
from civicsetu.models.enums import Jurisdiction
from civicsetu.models.schemas import RetrievedChunk
+from civicsetu.retrieval.cache import graph_cache, make_key
from civicsetu.stores.graph_store import GraphStore
from civicsetu.stores.relational_store import AsyncSessionLocal
from civicsetu.stores.vector_store import VectorStore
@@ -48,13 +49,26 @@ class GraphRetriever:
query: str,
jurisdiction: Jurisdiction | None = None,
depth: int = 2,
+ source_section_id: str | None = None,
) -> list[RetrievedChunk]:
- section_id = GraphRetriever._extract_section_id(query)
+ section_id = source_section_id or GraphRetriever._extract_section_id(query)
if not section_id:
log.info("graph_retriever_no_section_found", query=query[:80])
return []
+ jurisdiction_key = jurisdiction.value if jurisdiction else "all"
+ cache_key = make_key(section_id, jurisdiction_key, depth)
+ cached = graph_cache.get(cache_key)
+ if cached is not None:
+ log.debug(
+ "graph_retrieval_cache_hit",
+ section_id=section_id,
+ jurisdiction=jurisdiction_key,
+ depth=depth,
+ )
+ return cached
+
# Explicit filter → search only that jurisdiction.
# No filter → search all jurisdictions (CENTRAL first).
jurisdictions_to_search = (
@@ -168,6 +182,7 @@ class GraphRetriever:
pinned=len(pinned),
deduped_total=len(deduped),
)
+ graph_cache[cache_key] = final
return final
@staticmethod
diff --git a/src/civicsetu/stores/graph_store.py b/src/civicsetu/stores/graph_store.py
index 4b816b47157948a85fe4065b7f30592cd1e70327..dd840297dcb2dc65775bb2b0fd1eca8a9e368b37 100644
--- a/src/civicsetu/stores/graph_store.py
+++ b/src/civicsetu/stores/graph_store.py
@@ -384,6 +384,38 @@ class GraphStore:
)
return await result.data()
+ @staticmethod
+ async def get_topology() -> tuple[list[dict], list[dict]]:
+ driver = await _get_driver()
+ async with driver.session() as session:
+ edges_result = await session.run(
+ """
+ MATCH (s:Section)-[r]->(t:Section)
+ WHERE type(r) IN ['REFERENCES', 'DERIVED_FROM']
+ AND s.is_active = true AND t.is_active = true
+ RETURN s.chunk_id AS source, t.chunk_id AS target, type(r) AS edge_type
+ """
+ )
+ nodes_result = await session.run(
+ """
+ MATCH (s:Section)-[r]-()
+ WHERE type(r) IN ['REFERENCES', 'DERIVED_FROM']
+ AND s.is_active = true
+ WITH s, count(r) AS conn_count
+ RETURN DISTINCT
+ s.chunk_id AS chunk_id,
+ s.section_id AS section_id,
+ s.title AS title,
+ s.jurisdiction AS jurisdiction,
+ s.doc_name AS doc_name,
+ s.is_active AS is_active,
+ conn_count AS connection_count
+ """
+ )
+ edges = await edges_result.data()
+ nodes = await nodes_result.data()
+ return nodes, edges
+
@staticmethod
async def graph_stats() -> dict:
driver = await _get_driver()
@@ -400,3 +432,4 @@ class GraphStore:
)
record = await result.single()
return dict(record) if record else {}
+
diff --git a/src/civicsetu/stores/vector_store.py b/src/civicsetu/stores/vector_store.py
index 5e4204b37da2b9ff37b26fb08fe064ecd1f3cba0..cacd98724d1491cf1859fc4144ab2d37ab0417ca 100644
--- a/src/civicsetu/stores/vector_store.py
+++ b/src/civicsetu/stores/vector_store.py
@@ -9,6 +9,7 @@ from sqlalchemy.ext.asyncio import AsyncSession
from civicsetu.config.settings import get_settings
from civicsetu.models.enums import DocType, Jurisdiction
from civicsetu.models.schemas import LegalChunk, RetrievedChunk
+from civicsetu.retrieval.cache import make_key, retrieval_cache
log = structlog.get_logger(__name__)
settings = get_settings()
@@ -36,6 +37,17 @@ class VectorStore:
f"got {len(query_embedding)}"
)
+ cache_key = make_key(str(query_embedding), jurisdiction, doc_type, top_k, active_only)
+ cached = retrieval_cache.get(cache_key)
+ if cached is not None:
+ log.debug(
+ "vector_retrieval_cache_hit",
+ jurisdiction=str(jurisdiction) if jurisdiction else None,
+ doc_type=str(doc_type) if doc_type else None,
+ top_k=top_k,
+ )
+ return cached
+
# Build dynamic WHERE clause
filters = []
params: dict = {
@@ -101,6 +113,7 @@ class VectorStore:
results=len(retrieved),
jurisdiction=jurisdiction,
)
+ retrieval_cache[cache_key] = retrieved
return retrieved
@staticmethod
diff --git a/tests/conftest.py b/tests/conftest.py
index 124fc91954319ba728d479218dc3a643e9135c89..0992a6c3a60d7a71f5aa3e4734370d07b2aba8b8 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -6,7 +6,7 @@ from datetime import date
import pytest
from civicsetu.models.enums import ChunkStatus, DocType, Jurisdiction, QueryType
-from civicsetu.models.schemas import Citation, LegalChunk, RetrievedChunk
+from civicsetu.models.schemas import Citation, ChatMessage, LegalChunk, RetrievedChunk
def _make_chunk(
@@ -55,6 +55,7 @@ def _base_state(**overrides) -> dict:
"session_id": "test-session",
"jurisdiction_filter": None,
"top_k": 5,
+ "messages": [ChatMessage(role="user", content="What are promoter obligations?")],
"query_type": None,
"rewritten_query": None,
"retrieved_chunks": [],
diff --git a/tests/unit/agent/test_edges.py b/tests/unit/agent/test_edges.py
index 51f9221551daea80bd5193b12819e72a3f01fb5b..c2f1cbdaef2412cafbf1841389276e9e8b790d0d 100644
--- a/tests/unit/agent/test_edges.py
+++ b/tests/unit/agent/test_edges.py
@@ -32,14 +32,14 @@ def _validator_state(hallucinated, confidence, retry_count, has_chunks=True):
}
-def test_route_to_retry_on_hallucination():
- state = _validator_state(hallucinated=True, confidence=0.9, retry_count=0)
+def test_route_to_retry_on_very_low_confidence():
+ state = _validator_state(hallucinated=True, confidence=0.1, retry_count=0)
assert route_after_validator(state) == "retry"
-def test_route_to_retry_on_low_confidence():
- state = _validator_state(hallucinated=False, confidence=0.3, retry_count=1)
- assert route_after_validator(state) == "retry"
+def test_route_to_end_when_confidence_not_low_enough():
+ state = _validator_state(hallucinated=True, confidence=0.3, retry_count=1)
+ assert route_after_validator(state) == "end"
def test_route_to_end_on_max_retries():
diff --git a/tests/unit/agent/test_multi_turn.py b/tests/unit/agent/test_multi_turn.py
new file mode 100644
index 0000000000000000000000000000000000000000..dda66696d10a5ea372106f51d36b6da840cbbf5f
--- /dev/null
+++ b/tests/unit/agent/test_multi_turn.py
@@ -0,0 +1,236 @@
+from __future__ import annotations
+
+from civicsetu.models.schemas import ChatMessage
+from tests.conftest import _base_state, _make_rc
+
+
+def test_state_has_messages_field():
+ from civicsetu.agent.state import CivicSetuState
+
+ assert "messages" in CivicSetuState.__annotations__
+
+
+def test_turn_reset_clears_ephemeral_fields():
+ from civicsetu.agent.nodes import turn_reset_node
+
+ state = _base_state(
+ query_type="fact_lookup",
+ rewritten_query="old rewritten",
+ retrieved_chunks=["chunk1"],
+ reranked_chunks=["chunk1"],
+ raw_response="old answer",
+ confidence_score=0.9,
+ retry_count=2,
+ hallucination_flag=True,
+ citations=["cite1"],
+ conflict_warnings=["warning"],
+ amendment_notice="amended",
+ error="some error",
+ )
+
+ result = turn_reset_node(state)
+
+ assert result["query_type"] is None
+ assert result["rewritten_query"] is None
+ assert result["retrieved_chunks"] == []
+ assert result["reranked_chunks"] == []
+ assert result["raw_response"] is None
+ assert result["confidence_score"] == 0.0
+ assert result["retry_count"] == 0
+ assert result["hallucination_flag"] is False
+ assert result["citations"] == []
+ assert result["conflict_warnings"] == []
+ assert result["amendment_notice"] is None
+ assert result["error"] is None
+ assert "messages" not in result
+
+
+def test_generator_includes_history_in_prompt():
+ from civicsetu.agent.nodes import generator_node
+
+ state = _base_state(
+ query="What about promoter obligations specifically?",
+ messages=[
+ ChatMessage(role="user", content="What is RERA?"),
+ ChatMessage(role="assistant", content="RERA stands for Real Estate Regulation Act."),
+ ],
+ reranked_chunks=[_make_rc(section_id="11")],
+ )
+ captured = {}
+
+ def fake_llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
+ captured["prompt"] = prompt
+ return (
+ '{"answer":"Promoters must register.","confidence_score":0.9,'
+ '"cited_chunks":[1],"conflict_warnings":[],"amendment_notice":null}'
+ )
+
+ from unittest.mock import patch
+
+ with patch("civicsetu.agent.nodes._llm_call", side_effect=fake_llm_call):
+ generator_node(state)
+
+ assert "What is RERA?" in captured["prompt"]
+ assert "RERA stands for Real Estate Regulation Act." in captured["prompt"]
+
+
+def test_build_graph_compiles_with_checkpointer():
+ from civicsetu.agent.graph import build_graph
+ from langgraph.checkpoint.memory import InMemorySaver
+
+ graph = build_graph()
+ compiled = graph.compile(checkpointer=InMemorySaver())
+ assert compiled is not None
+
+
+# ── History accumulation ────────────────────────────────────────────────────────
+
+def test_messages_list_is_annotated_with_operator_add():
+ """operator.add on the messages field means LangGraph merges lists across turns."""
+ import operator
+ from typing import get_args, get_type_hints
+ from civicsetu.agent.state import CivicSetuState
+
+ hints = get_type_hints(CivicSetuState, include_extras=True)
+ args = get_args(hints["messages"])
+ # args == (list[ChatMessage], operator.add)
+ assert args[1] is operator.add
+
+
+def test_generator_limits_history_to_last_6_messages():
+ """Only the 6 most recent messages are injected so context windows don't blow up."""
+ from civicsetu.agent.nodes import generator_node
+
+ old_messages = [
+ ChatMessage(role="user", content=f"Old question {i}") for i in range(10)
+ ]
+ state = _base_state(
+ query="Latest question",
+ messages=old_messages,
+ reranked_chunks=[_make_rc(section_id="11")],
+ )
+ captured = {}
+
+ def fake_llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
+ captured["prompt"] = prompt
+ return (
+ '{"answer":"Answer.","confidence_score":0.9,'
+ '"cited_chunks":[1],"conflict_warnings":[],"amendment_notice":null}'
+ )
+
+ from unittest.mock import patch
+
+ with patch("civicsetu.agent.nodes._llm_call", side_effect=fake_llm_call):
+ generator_node(state)
+
+ # Old question 0-3 must NOT appear; 4-9 (the last 6) must appear
+ assert "Old question 0" not in captured["prompt"]
+ assert "Old question 4" in captured["prompt"]
+ assert "Old question 9" in captured["prompt"]
+
+
+def test_generator_no_history_block_when_messages_empty():
+ """When messages list is empty the history block is absent — no empty section injected."""
+ from civicsetu.agent.nodes import generator_node
+
+ state = _base_state(
+ query="What is RERA?",
+ messages=[],
+ reranked_chunks=[_make_rc(section_id="3")],
+ )
+ captured = {}
+
+ def fake_llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
+ captured["prompt"] = prompt
+ return (
+ '{"answer":"RERA stands for Real Estate.","confidence_score":0.8,'
+ '"cited_chunks":[1],"conflict_warnings":[],"amendment_notice":null}'
+ )
+
+ from unittest.mock import patch
+
+ with patch("civicsetu.agent.nodes._llm_call", side_effect=fake_llm_call):
+ generator_node(state)
+
+ assert "Prior conversation" not in captured["prompt"]
+
+
+def test_generator_history_uses_correct_role_labels():
+ """User messages are labelled 'User:', assistant messages 'Assistant:'."""
+ from civicsetu.agent.nodes import generator_node
+
+ state = _base_state(
+ query="What penalties apply?",
+ messages=[
+ ChatMessage(role="user", content="Tell me about RERA."),
+ ChatMessage(role="assistant", content="RERA regulates real estate."),
+ ],
+ reranked_chunks=[_make_rc(section_id="63")],
+ )
+ captured = {}
+
+ def fake_llm_call(prompt: str, system: str, temperature: float = 0.0) -> str:
+ captured["prompt"] = prompt
+ return (
+ '{"answer":"Penalty is up to 5%.","confidence_score":0.85,'
+ '"cited_chunks":[1],"conflict_warnings":[],"amendment_notice":null}'
+ )
+
+ from unittest.mock import patch
+
+ with patch("civicsetu.agent.nodes._llm_call", side_effect=fake_llm_call):
+ generator_node(state)
+
+ assert "User: Tell me about RERA." in captured["prompt"]
+ assert "Assistant: RERA regulates real estate." in captured["prompt"]
+
+
+# ── Thread isolation ────────────────────────────────────────────────────────────
+
+def test_different_thread_ids_do_not_share_messages():
+ """Two sessions with distinct thread_ids must never bleed messages into each other."""
+ from langgraph.checkpoint.memory import InMemorySaver
+ from civicsetu.agent.graph import build_graph
+
+ graph = build_graph().compile(checkpointer=InMemorySaver())
+
+ def _fake_invoke(graph, state, config):
+ """Directly update checkpoint with a fake assistant message to simulate a turn."""
+ graph.update_state(config, {"messages": [ChatMessage(role="user", content=state["query"])]})
+ graph.update_state(config, {"messages": [ChatMessage(role="assistant", content="Session answer.")]})
+
+ config_a = {"configurable": {"thread_id": "session-A"}}
+ config_b = {"configurable": {"thread_id": "session-B"}}
+
+ _fake_invoke(graph, {"query": "Question for A"}, config_a)
+ _fake_invoke(graph, {"query": "Question for B"}, config_b)
+
+ state_a = graph.get_state(config_a)
+ state_b = graph.get_state(config_b)
+
+ messages_a = state_a.values.get("messages", [])
+ messages_b = state_b.values.get("messages", [])
+
+ contents_a = [m.content if hasattr(m, "content") else m["content"] for m in messages_a]
+ contents_b = [m.content if hasattr(m, "content") else m["content"] for m in messages_b]
+
+ assert "Question for A" not in contents_b
+ assert "Question for B" not in contents_a
+
+
+# ── turn_reset sentinel ─────────────────────────────────────────────────────────
+
+def test_turn_reset_does_not_touch_session_id_or_jurisdiction():
+ """Session-level fields must survive turn_reset so routing stays consistent."""
+ from civicsetu.agent.nodes import turn_reset_node
+
+ state = _base_state(
+ session_id="abc-123",
+ jurisdiction_filter="MAHARASHTRA",
+ query="Anything",
+ )
+ result = turn_reset_node(state)
+
+ assert "session_id" not in result
+ assert "jurisdiction_filter" not in result
+ assert "query" not in result
diff --git a/tests/unit/api/test_query_route.py b/tests/unit/api/test_query_route.py
index fa7676c2bb76eca909520b987d029ba26ca2358e..2cf8b196bb7824cc4610012bd29ebcf73fef7801 100644
--- a/tests/unit/api/test_query_route.py
+++ b/tests/unit/api/test_query_route.py
@@ -1,9 +1,9 @@
from __future__ import annotations
-import json
import uuid
+from contextlib import asynccontextmanager
from datetime import date
-from unittest.mock import MagicMock, patch
+from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from fastapi.testclient import TestClient
@@ -13,6 +13,14 @@ from civicsetu.models.schemas import Citation
from tests.conftest import _base_state
+@pytest.fixture(autouse=True)
+def reset_graph_topology_cache():
+ from civicsetu.api.routes import graph as graph_routes
+
+ graph_routes._topo_cache["data"] = None
+ graph_routes._topo_cache["ts"] = 0.0
+
+
def _make_citation(section_id: str = "18") -> Citation:
return Citation(
section_id=section_id,
@@ -29,13 +37,19 @@ def client():
with patch("civicsetu.agent.graph.get_compiled_graph") as mock_graph:
mock_compiled = MagicMock()
mock_graph.return_value = mock_compiled
+ fake_checkpointer = AsyncMock()
- from civicsetu.api.main import create_app
- app = create_app()
- app.state.graph = mock_compiled
+ @asynccontextmanager
+ async def fake_checkpointer_context():
+ yield fake_checkpointer
- with TestClient(app) as c:
- yield c, mock_compiled
+ with patch("civicsetu.api.main.create_checkpointer", return_value=fake_checkpointer_context()):
+ from civicsetu.api.main import create_app
+ app = create_app()
+ app.state.graph = mock_compiled
+
+ with TestClient(app) as c:
+ yield c, mock_compiled
# ── POST /api/v1/query ────────────────────────────────────────────────────────
@@ -57,6 +71,7 @@ def test_query_returns_200_with_citations(client):
assert "answer" in body
assert len(body["citations"]) == 1
assert body["citations"][0]["section_id"] == "18"
+ assert "session_id" in body
def test_query_returns_insufficient_when_no_citations(client):
@@ -106,3 +121,216 @@ def test_query_response_always_has_disclaimer(client):
body = response.json()
assert "disclaimer" in body
assert len(body["disclaimer"]) > 0
+
+
+def test_query_reuses_provided_session_id(client):
+ test_client, mock_graph = client
+ mock_graph.invoke.return_value = {
+ "raw_response": "Under Section 18...",
+ "citations": [_make_citation()],
+ "confidence_score": 0.8,
+ "query_type": QueryType.FACT_LOOKUP,
+ "conflict_warnings": [],
+ "amendment_notice": None,
+ }
+
+ response = test_client.post(
+ "/api/v1/query",
+ json={"query": "What does Section 18 say?", "session_id": "my-session-abc"},
+ )
+
+ body = response.json()
+ assert response.status_code == 200
+ assert body["session_id"] == "my-session-abc"
+ _, config = mock_graph.invoke.call_args.args
+ assert config["configurable"]["thread_id"] == "my-session-abc"
+
+
+def test_graph_topology_returns_nodes_and_edges(client):
+ test_client, _ = client
+
+ with patch("civicsetu.api.routes.graph.GraphStore.get_topology", new=AsyncMock(return_value=(
+ [
+ {
+ "chunk_id": "chunk-18",
+ "section_id": "18",
+ "title": "Return of amount and compensation",
+ "jurisdiction": "CENTRAL",
+ "doc_name": "RERA Act 2016",
+ "is_active": True,
+ "connection_count": 3,
+ }
+ ],
+ [
+ {
+ "source": "chunk-18",
+ "target": "chunk-19",
+ "edge_type": "REFERENCES",
+ }
+ ],
+ ))), patch(
+ "civicsetu.api.routes.graph.GraphStore.graph_stats",
+ new=AsyncMock(return_value={"sections": 10, "refs": 4, "derived_from": 2}),
+ ):
+ response = test_client.get("/api/v1/graph/topology")
+
+ assert response.status_code == 200
+ body = response.json()
+ assert body["nodes"][0]["section_id"] == "18"
+ assert body["edges"][0]["edge_type"] == "REFERENCES"
+ assert body["stats"]["sections"] == 10
+
+
+def test_graph_topology_uses_cache(client):
+ test_client, _ = client
+ with patch("civicsetu.api.routes.graph.GraphStore.get_topology", new=AsyncMock(return_value=([], []))) as mock_topology, patch(
+ "civicsetu.api.routes.graph.GraphStore.graph_stats",
+ new=AsyncMock(return_value={"sections": 0}),
+ ):
+ first = test_client.get("/api/v1/graph/topology")
+ second = test_client.get("/api/v1/graph/topology")
+
+ assert first.status_code == 200
+ assert second.status_code == 200
+ assert mock_topology.await_count == 1
+
+
+def test_graph_section_content_returns_stitched_chunks_and_connections(client):
+ test_client, _ = client
+ fake_rows = [
+ {
+ "chunk_id": "chunk-18-a",
+ "section_title": "Return of amount and compensation",
+ "text": "First chunk.",
+ "page_number": 1,
+ "doc_name": "RERA Act 2016",
+ "jurisdiction": "CENTRAL",
+ "effective_date": date(2016, 5, 1),
+ "source_url": "https://example.com/rera.pdf",
+ },
+ {
+ "chunk_id": "chunk-18-b",
+ "section_title": "Return of amount and compensation",
+ "text": "Second chunk.",
+ "page_number": 2,
+ "doc_name": "RERA Act 2016",
+ "jurisdiction": "CENTRAL",
+ "effective_date": date(2016, 5, 1),
+ "source_url": "https://example.com/rera.pdf",
+ },
+ ]
+
+ mock_result = MagicMock()
+ mock_result.mappings.return_value.all.return_value = fake_rows
+ mock_db = AsyncMock()
+ mock_db.execute.return_value = mock_result
+
+ @asynccontextmanager
+ async def fake_session():
+ yield mock_db
+
+ with patch("civicsetu.api.routes.graph.AsyncSessionLocal", side_effect=fake_session), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_referenced_sections",
+ new=AsyncMock(return_value=[{"section_id": "19", "title": "Rights", "jurisdiction": "CENTRAL"}]),
+ ), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_sections_referencing",
+ new=AsyncMock(return_value=[]),
+ ), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_derived_act_sections",
+ new=AsyncMock(return_value=[]),
+ ), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_deriving_rule_sections",
+ new=AsyncMock(return_value=[]),
+ ):
+ response = test_client.get("/api/v1/graph/section/18?jurisdiction=CENTRAL")
+
+ assert response.status_code == 200
+ body = response.json()
+ assert [chunk["page_number"] for chunk in body["chunks"]] == [1, 2]
+ assert body["connected_sections"][0]["edge_type"] == "REFERENCES_OUT"
+ assert body["source_url"] == "https://example.com/rera.pdf"
+
+
+def test_graph_section_content_resolves_graph_chunk_id_case_insensitive_status(client):
+ test_client, _ = client
+
+ node_result = MagicMock()
+ node_result.mappings.return_value.first.return_value = {
+ "section_id": "4",
+ "jurisdiction": "CENTRAL",
+ }
+ chunks_result = MagicMock()
+ chunks_result.mappings.return_value.all.return_value = [
+ {
+ "chunk_id": "postgres-chunk-4",
+ "section_id": "4",
+ "section_title": "Prior registration of real estate project",
+ "text": "Section text.",
+ "page_number": 1,
+ "doc_name": "RERA Act 2016",
+ "jurisdiction": "CENTRAL",
+ "effective_date": date(2016, 5, 1),
+ "source_url": "https://example.com/rera.pdf",
+ }
+ ]
+ mock_db = AsyncMock()
+ mock_db.execute.side_effect = [node_result, chunks_result]
+
+ @asynccontextmanager
+ async def fake_session():
+ yield mock_db
+
+ with patch("civicsetu.api.routes.graph.AsyncSessionLocal", side_effect=fake_session), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_referenced_sections",
+ new=AsyncMock(return_value=[]),
+ ), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_sections_referencing",
+ new=AsyncMock(return_value=[]),
+ ), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_derived_act_sections",
+ new=AsyncMock(return_value=[]),
+ ), patch(
+ "civicsetu.api.routes.graph.GraphStore.get_deriving_rule_sections",
+ new=AsyncMock(return_value=[]),
+ ):
+ response = test_client.get(
+ "/api/v1/graph/section/4?jurisdiction=CENTRAL&chunk_id=72ecb226-2aae-4c6c-bd23-5dc3a9439642"
+ )
+
+ assert response.status_code == 200
+ assert response.json()["chunks"][0]["chunk_id"] == "postgres-chunk-4"
+ first_lookup_sql = str(mock_db.execute.await_args_list[0].args[0])
+ section_lookup_sql = str(mock_db.execute.await_args_list[1].args[0])
+ assert "lower(status) = 'active'" in first_lookup_sql
+ assert "lower(status) = 'active'" in section_lookup_sql
+
+
+def test_section_context_query_sets_skip_classifier_and_source_section(client):
+ test_client, mock_graph = client
+ mock_graph.invoke.return_value = {
+ "raw_response": "Section 18 requires refund with interest.",
+ "citations": [_make_citation("18")],
+ "confidence_score": 0.88,
+ "query_type": QueryType.CROSS_REFERENCE,
+ "conflict_warnings": [],
+ "amendment_notice": None,
+ }
+
+ response = test_client.post(
+ "/api/v1/query/section-context",
+ json={
+ "query": "Explain this section",
+ "section_id": "18",
+ "jurisdiction": "CENTRAL",
+ "session_id": "section-thread-1",
+ },
+ )
+
+ assert response.status_code == 200
+ body = response.json()
+ assert body["session_id"] == "section-thread-1"
+ initial_state, config = mock_graph.invoke.call_args.args
+ assert initial_state["skip_classifier"] is True
+ assert initial_state["source_section_id"] == "18"
+ assert initial_state["query_type"] == QueryType.CROSS_REFERENCE
+ assert config["configurable"]["thread_id"] == "section-thread-1"
diff --git a/tests/unit/retrieval/test_cache.py b/tests/unit/retrieval/test_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..0f47b6efadd73f1288f344410e4052cc0c4c533d
--- /dev/null
+++ b/tests/unit/retrieval/test_cache.py
@@ -0,0 +1,32 @@
+from __future__ import annotations
+
+from cachetools import TTLCache
+
+from civicsetu.retrieval.cache import embedding_cache, graph_cache, make_key, retrieval_cache
+
+
+def test_make_key_normalizes_whitespace():
+ assert make_key(" What are RERA penalties? ") == make_key("What are RERA penalties?")
+
+
+def test_make_key_is_hex_string():
+ assert len(make_key("hello")) == 64
+
+
+def test_make_key_different_inputs_differ():
+ assert make_key("abc") != make_key("xyz")
+
+
+def test_embedding_cache_is_ttl_cache():
+ assert isinstance(embedding_cache, TTLCache)
+ assert embedding_cache.maxsize == 512
+
+
+def test_retrieval_cache_is_ttl_cache():
+ assert isinstance(retrieval_cache, TTLCache)
+ assert retrieval_cache.maxsize == 256
+
+
+def test_graph_cache_is_ttl_cache():
+ assert isinstance(graph_cache, TTLCache)
+ assert graph_cache.maxsize == 256
diff --git a/tests/unit/retrieval/test_embedding_cache.py b/tests/unit/retrieval/test_embedding_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..3fa9a98384d354c526ea16a90d049c06f6bdf8f7
--- /dev/null
+++ b/tests/unit/retrieval/test_embedding_cache.py
@@ -0,0 +1,33 @@
+from __future__ import annotations
+
+from unittest.mock import patch
+
+from civicsetu.retrieval import cached_embed
+from civicsetu.retrieval.cache import embedding_cache, make_key
+
+
+def test_embedding_cache_hit_skips_model_call():
+ embedding_cache.clear()
+
+ query = "What are promoter obligations?"
+ fake_embedding = [0.1] * 768
+ embedding_cache[make_key(query)] = fake_embedding
+
+ with patch("civicsetu.ingestion.embedder.Embedder.embed_query", side_effect=RuntimeError("should not run")):
+ result = cached_embed(query)
+
+ assert result == fake_embedding
+
+
+def test_embedding_cache_miss_calls_model_and_populates_cache():
+ embedding_cache.clear()
+
+ query = "unique query xyz"
+ fake_embedding = [0.5] * 768
+
+ with patch("civicsetu.ingestion.embedder.Embedder.embed_query", return_value=fake_embedding) as mock_embed:
+ result = cached_embed(query)
+
+ assert result == fake_embedding
+ assert embedding_cache[make_key(query)] == fake_embedding
+ mock_embed.assert_called_once_with(query)
diff --git a/tests/unit/retrieval/test_graph_cache.py b/tests/unit/retrieval/test_graph_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..597482270002572e6a3a7d7282e80b9328dade3f
--- /dev/null
+++ b/tests/unit/retrieval/test_graph_cache.py
@@ -0,0 +1,50 @@
+from __future__ import annotations
+
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from civicsetu.retrieval.cache import graph_cache, make_key
+
+
+@pytest.mark.asyncio
+async def test_graph_retrieve_cache_hit():
+ graph_cache.clear()
+
+ fake_chunks = [MagicMock()]
+ graph_cache[make_key("18", "all", 2)] = fake_chunks
+
+ with patch(
+ "civicsetu.stores.graph_store.GraphStore.get_referenced_sections",
+ side_effect=RuntimeError("should not run"),
+ ):
+ from civicsetu.retrieval.graph_retriever import GraphRetriever
+
+ result = await GraphRetriever.retrieve(
+ query="What does Section 18 reference?",
+ jurisdiction=None,
+ )
+
+ assert result == fake_chunks
+
+
+@pytest.mark.asyncio
+async def test_graph_retrieve_cache_miss_populates_cache():
+ graph_cache.clear()
+
+ with (
+ patch("civicsetu.stores.graph_store.GraphStore.get_referenced_sections", new=AsyncMock(return_value=[])),
+ patch("civicsetu.stores.graph_store.GraphStore.get_sections_referencing", new=AsyncMock(return_value=[])),
+ patch("civicsetu.stores.graph_store.GraphStore.get_derived_act_sections", new=AsyncMock(return_value=[])),
+ patch("civicsetu.stores.graph_store.GraphStore.get_deriving_rule_sections", new=AsyncMock(return_value=[])),
+ patch("civicsetu.stores.vector_store.VectorStore.get_by_section", new=AsyncMock(return_value=[])),
+ ):
+ from civicsetu.retrieval.graph_retriever import GraphRetriever
+
+ result = await GraphRetriever.retrieve(
+ query="What does Section 18 say?",
+ jurisdiction=None,
+ )
+
+ assert result == []
+ assert make_key("18", "all", 2) in graph_cache
diff --git a/tests/unit/stores/test_vector_store_cache.py b/tests/unit/stores/test_vector_store_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..67c4b493faec6b89f2299823e18e57aa39903083
--- /dev/null
+++ b/tests/unit/stores/test_vector_store_cache.py
@@ -0,0 +1,54 @@
+from __future__ import annotations
+
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from civicsetu.retrieval.cache import make_key, retrieval_cache
+
+
+@pytest.mark.asyncio
+async def test_similarity_search_cache_hit():
+ retrieval_cache.clear()
+
+ fake_embedding = [0.1] * 768
+ fake_chunks = [MagicMock()]
+ retrieval_cache[make_key(str(fake_embedding), None, None, 5, True)] = fake_chunks
+
+ session = AsyncMock()
+
+ from civicsetu.stores.vector_store import VectorStore
+
+ result = await VectorStore.similarity_search(
+ session=session,
+ query_embedding=fake_embedding,
+ top_k=5,
+ jurisdiction=None,
+ )
+
+ assert result == fake_chunks
+ session.execute.assert_not_called()
+
+
+@pytest.mark.asyncio
+async def test_similarity_search_cache_miss_populates_cache():
+ retrieval_cache.clear()
+
+ fake_embedding = [0.2] * 768
+ session = AsyncMock()
+ result_proxy = MagicMock()
+ result_proxy.fetchall.return_value = []
+ session.execute = AsyncMock(return_value=result_proxy)
+
+ from civicsetu.stores.vector_store import VectorStore
+
+ result = await VectorStore.similarity_search(
+ session=session,
+ query_embedding=fake_embedding,
+ top_k=5,
+ jurisdiction=None,
+ )
+
+ assert result == []
+ assert make_key(str(fake_embedding), None, None, 5, True) in retrieval_cache
+ session.execute.assert_awaited_once()
diff --git a/uv.lock b/uv.lock
index ef1a7742a9b159b57258d06784c773f986df8472..ab9623dbe987e4768685f5ee66d1e6477284697a 100644
--- a/uv.lock
+++ b/uv.lock
@@ -630,6 +630,7 @@ version = "0.1.0"
source = { editable = "." }
dependencies = [
{ name = "arize-phoenix" },
+ { name = "cachetools" },
{ name = "einops" },
{ name = "fastapi" },
{ name = "flashrank" },
@@ -639,7 +640,9 @@ dependencies = [
{ name = "langchain-core" },
{ name = "langchain-google-genai" },
{ name = "langgraph" },
+ { name = "langgraph-checkpoint-postgres" },
{ name = "litellm" },
+ { name = "neo4j" },
{ name = "ollama" },
{ name = "opentelemetry-api" },
{ name = "opentelemetry-sdk" },
@@ -689,6 +692,7 @@ dev = [
[package.metadata]
requires-dist = [
{ name = "arize-phoenix", specifier = ">=4.0.0" },
+ { name = "cachetools", specifier = ">=5.3.0" },
{ name = "datasets", marker = "extra == 'eval'", specifier = ">=2.20.0" },
{ name = "einops", specifier = ">=0.8.2" },
{ name = "fastapi", specifier = ">=0.115.0" },
@@ -700,8 +704,10 @@ requires-dist = [
{ name = "langchain-core", specifier = ">=0.3.0" },
{ name = "langchain-google-genai", specifier = ">=2.0.0" },
{ name = "langgraph", specifier = ">=0.3.0" },
+ { name = "langgraph-checkpoint-postgres", specifier = ">=2.0.0" },
{ name = "litellm", specifier = ">=1.30.0" },
{ name = "mypy", marker = "extra == 'dev'", specifier = ">=1.10.0" },
+ { name = "neo4j", specifier = ">=5.20.0" },
{ name = "neo4j", marker = "extra == 'graph'", specifier = ">=5.20.0" },
{ name = "ollama", specifier = ">=0.3.0" },
{ name = "opentelemetry-api", specifier = ">=1.25.0" },
@@ -2422,6 +2428,21 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
]
+[[package]]
+name = "langgraph-checkpoint-postgres"
+version = "3.0.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "langgraph-checkpoint" },
+ { name = "orjson" },
+ { name = "psycopg" },
+ { name = "psycopg-pool" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/95/7a/8f439966643d32111248a225e6cb33a182d07c90de780c4dbfc1e0377832/langgraph_checkpoint_postgres-3.0.5.tar.gz", hash = "sha256:a8fd7278a63f4f849b5cbc7884a15ca8f41e7d5f7467d0a66b31e8c24492f7eb", size = 127856, upload-time = "2026-03-18T21:25:29.785Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/e8/87/b0f98b33a67204bca9d5619bcd9574222f6b025cf3c125eedcec9a50ecbc/langgraph_checkpoint_postgres-3.0.5-py3-none-any.whl", hash = "sha256:86d7040a88fd70087eaafb72251d796696a0a2d856168f5c11ef620771411552", size = 42907, upload-time = "2026-03-18T21:25:28.75Z" },
+]
+
[[package]]
name = "langgraph-prebuilt"
version = "1.0.8"
@@ -4511,6 +4532,18 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/98/5a/291d89f44d3820fffb7a04ebc8f3ef5dda4f542f44a5daea0c55a84abf45/psycopg_binary-3.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:165f22ab5a9513a3d7425ffb7fcc7955ed8ccaeef6d37e369d6cc1dff1582383", size = 3652796, upload-time = "2026-02-18T16:52:14.02Z" },
]
+[[package]]
+name = "psycopg-pool"
+version = "3.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+ { name = "typing-extensions" },
+]
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