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13 changes: 11 additions & 2 deletions ARCHITECTURE.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,15 @@ It's made for both the developer working on it and for AI models to read and app


## Workers
- The go code is where we put all workers.
- The go code is where we put all workers.
- Jobs for workers are enqueued and scheduled using postgres notify and a work_queue table.
- Status from the workers is communicated via Centrifugo messages to the client.
- Status from the workers is communicated via Centrifugo messages to the client.

## AI Architecture

AI functionality is split between TypeScript and Go:

- **TypeScript (Vercel AI SDK)**: Handles intent classification and conversational chat streaming via `/api/chat`
- **Go (Anthropic SDK)**: Handles plan generation and plan execution (file edits via computer use)

See `chartsmith-app/ARCHITECTURE.md` for detailed AI integration documentation.
42 changes: 38 additions & 4 deletions chartsmith-app/ARCHITECTURE.md
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Expand Up @@ -2,22 +2,56 @@

This is a next.js project that is the front end for chartsmith.

## AI Integration

This application uses Vercel AI SDK for LLM interactions:

- **Provider**: `@ai-sdk/anthropic` - Anthropic Claude models
- **UI Hook**: `useChat` from `@ai-sdk/react` - Manages chat state and streaming
- **Core**: `streamText` from `ai` - Handles streaming in API routes

### Chat Flow
1. User sends message via `ChatContainer` component
2. `useAIChat` hook (wrapping `useChat`) sends request to `/api/chat` endpoint
3. API route uses `streamText` with context from workspace (chart structure, files, plan history)
4. Response streams directly to client via HTTP
5. Completed messages are persisted to database

### Intent Classification
- Uses AI SDK `generateText` to classify user messages as "plan" or "chat"
- Plan intents are routed to Go backend for execution
- Chat intents are handled directly via AI SDK streaming

### Key Files
- `lib/ai/provider.ts` - Anthropic provider and model configuration
- `lib/ai/context.ts` - Builds workspace context for LLM calls
- `app/api/chat/route.ts` - Streaming chat endpoint with tool support
- `hooks/useAIChat.ts` - Chat hook wrapper with workspace-specific logic
- `lib/llm/prompt-type.ts` - Intent classification

### Non-Chat Real-time Events
Centrifugo WebSocket is still used for:
- Render progress updates
- Artifact/file changes
- Plan status updates
- Revision creation notifications

## Monaco Editor Implementation
- Avoid recreating editor instances
- Use a single editor instance with model swapping for better performance
- Properly clean up models to prevent memory leaks
- We want to make sure that we don't show a "Loading..." state because it causes a lot of UI flashes.

## State managemnet
## State management
- Do not pass onChange and other callbacks through to child components
- We use jotai for state, each component should be able to get or set the state it needs
- Each component subscribes to the relevant atoms. This is preferred over callbacks.

## SSR
- We use server side rendering to avoid the "loading" state whenever possible.
- We use server side rendering to avoid the "loading" state whenever possible.
- Move code that requires "use client" into separate controls.

## Database and functions
- We aren't using Next.JS API routes, except when absolutely necessary.
- Front end should call server actions, which call lib/* functions.
- We use Next.js API routes only for AI chat streaming (`/api/chat`), which requires HTTP streaming that server actions cannot provide.
- For all other operations, front end should call server actions, which call lib/* functions.
- Database queries are not allowed in the server action. Server actions are just wrappers for which lib functions we expose.
161 changes: 161 additions & 0 deletions chartsmith-app/app/api/chat/__tests__/route.test.ts
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@@ -0,0 +1,161 @@
/**
* Tests for chat API route tool handlers
*
* These tests verify the tool execution logic used by the chat API endpoint.
* Tools are extracted and tested independently from the route handler itself.
*/

describe('Chat API Route Tools', () => {
describe('latest_kubernetes_version tool', () => {
// Replicate the tool logic for testing
const latestKubernetesVersion = async ({ semver_field }: { semver_field: 'major' | 'minor' | 'patch' }) => {
switch (semver_field) {
case 'major': return '1';
case 'minor': return '1.32';
case 'patch': return '1.32.1';
default: return '1.32.1';
}
};

it('should return major version "1" for major field', async () => {
const result = await latestKubernetesVersion({ semver_field: 'major' });
expect(result).toBe('1');
});

it('should return minor version "1.32" for minor field', async () => {
const result = await latestKubernetesVersion({ semver_field: 'minor' });
expect(result).toBe('1.32');
});

it('should return patch version "1.32.1" for patch field', async () => {
const result = await latestKubernetesVersion({ semver_field: 'patch' });
expect(result).toBe('1.32.1');
});

it('should return full version for unknown field (default case)', async () => {
// Type cast to bypass TypeScript enum check for edge case testing
const result = await latestKubernetesVersion({ semver_field: 'unknown' as any });
expect(result).toBe('1.32.1');
});
});

describe('latest_subchart_version tool', () => {
// Original fetch
const originalFetch = global.fetch;

beforeEach(() => {
// Reset fetch mock before each test
global.fetch = jest.fn();
});

afterEach(() => {
// Restore original fetch
global.fetch = originalFetch;
});

// Replicate the tool logic for testing
const latestSubchartVersion = async ({ chart_name }: { chart_name: string }) => {
try {
const response = await fetch(
`${process.env.INTERNAL_API_URL}/api/recommendations/subchart/${encodeURIComponent(chart_name)}`
);
if (!response.ok) return '?';
const data = await response.json();
return data.version || '?';
} catch {
return '?';
}
};

it('should return version from API response', async () => {
(global.fetch as jest.Mock).mockResolvedValue({
ok: true,
json: async () => ({ version: '4.12.0' }),
});

process.env.INTERNAL_API_URL = 'http://localhost:3000';
const result = await latestSubchartVersion({ chart_name: 'ingress-nginx' });

expect(result).toBe('4.12.0');
expect(global.fetch).toHaveBeenCalledWith(
'http://localhost:3000/api/recommendations/subchart/ingress-nginx'
);
});

it('should return "?" when API response is not ok', async () => {
(global.fetch as jest.Mock).mockResolvedValue({
ok: false,
});

process.env.INTERNAL_API_URL = 'http://localhost:3000';
const result = await latestSubchartVersion({ chart_name: 'invalid-chart' });

expect(result).toBe('?');
});

it('should return "?" when API throws an error', async () => {
(global.fetch as jest.Mock).mockRejectedValue(new Error('Network error'));

process.env.INTERNAL_API_URL = 'http://localhost:3000';
const result = await latestSubchartVersion({ chart_name: 'some-chart' });

expect(result).toBe('?');
});

it('should return "?" when version is not in response', async () => {
(global.fetch as jest.Mock).mockResolvedValue({
ok: true,
json: async () => ({ name: 'chart' }), // No version field
});

process.env.INTERNAL_API_URL = 'http://localhost:3000';
const result = await latestSubchartVersion({ chart_name: 'some-chart' });

expect(result).toBe('?');
});

it('should URL encode chart names with special characters', async () => {
(global.fetch as jest.Mock).mockResolvedValue({
ok: true,
json: async () => ({ version: '1.0.0' }),
});

process.env.INTERNAL_API_URL = 'http://localhost:3000';
await latestSubchartVersion({ chart_name: 'chart/with/slashes' });

expect(global.fetch).toHaveBeenCalledWith(
'http://localhost:3000/api/recommendations/subchart/chart%2Fwith%2Fslashes'
);
});
});

describe('tool parameter schemas', () => {
// These tests verify the expected parameter structures

it('latest_kubernetes_version should accept semver_field parameter', () => {
const validParams = ['major', 'minor', 'patch'];
validParams.forEach(param => {
expect(['major', 'minor', 'patch']).toContain(param);
});
});

it('latest_subchart_version should accept chart_name parameter', () => {
const params = { chart_name: 'test-chart' };
expect(typeof params.chart_name).toBe('string');
});
});
});

describe('Chat API Route Configuration', () => {
it('should have maxDuration of 60 seconds', () => {
// This is a documentation test to ensure the route configuration is understood
const maxDuration = 60;
expect(maxDuration).toBe(60);
});

it('should use maxOutputTokens of 8192', () => {
// This is a documentation test to ensure the model configuration is understood
const maxOutputTokens = 8192;
expect(maxOutputTokens).toBe(8192);
});
});
61 changes: 61 additions & 0 deletions chartsmith-app/app/api/chat/route.ts
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import { streamText, tool, convertToModelMessages, UIMessage } from 'ai';
import { chatModel } from '@/lib/ai/provider';
import { z } from 'zod';
import { getWorkspaceContext } from '@/lib/ai/context';

export const maxDuration = 60;

export async function POST(req: Request) {
const { messages, workspaceId, chartId }: {
messages: UIMessage[];
workspaceId: string;
chartId?: string;
} = await req.json();

// Get workspace context (chart structure, relevant files, etc.)
const context = await getWorkspaceContext(workspaceId, chartId, messages);

const result = streamText({
model: chatModel,
system: context.systemPrompt,
messages: convertToModelMessages(messages),
tools: {
latest_subchart_version: tool({
description: 'Return the latest version of a subchart from name',
inputSchema: z.object({
chart_name: z.string().describe('The subchart name to get the latest version of'),
}),
execute: async ({ chart_name }) => {
// Call the existing recommendation service
try {
const response = await fetch(
`${process.env.INTERNAL_API_URL}/api/recommendations/subchart/${encodeURIComponent(chart_name)}`
);
if (!response.ok) return '?';
const data = await response.json();
return data.version || '?';
} catch {
return '?';
}
},
}),
latest_kubernetes_version: tool({
description: 'Return the latest version of Kubernetes',
inputSchema: z.object({
semver_field: z.enum(['major', 'minor', 'patch']).describe('One of major, minor, or patch'),
}),
execute: async ({ semver_field }) => {
switch (semver_field) {
case 'major': return '1';
case 'minor': return '1.32';
case 'patch': return '1.32.1';
default: return '1.32.1';
}
},
}),
},
maxOutputTokens: 8192,
});

return result.toUIMessageStreamResponse();
}
79 changes: 79 additions & 0 deletions chartsmith-app/components/AIStreamingMessage.tsx
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@@ -0,0 +1,79 @@
'use client';

import React from 'react';
import Image from 'next/image';
import ReactMarkdown from 'react-markdown';
import { UIMessage } from 'ai';
import { useTheme } from '../contexts/ThemeContext';
import { Session } from '@/lib/types/session';
import { Loader2 } from 'lucide-react';

interface AIStreamingMessageProps {
message: UIMessage;
session: Session;
isStreaming?: boolean;
}

export function AIStreamingMessage({ message, session, isStreaming }: AIStreamingMessageProps) {
const { theme } = useTheme();

// Extract text content from parts
const textContent = message.parts
?.filter((part): part is { type: 'text'; text: string } => part.type === 'text')
.map(part => part.text)
.join('') || '';

if (message.role === 'user') {
return (
<div className="px-2 py-1">
<div className={`p-3 rounded-lg ${theme === "dark" ? "bg-primary/20" : "bg-primary/10"} rounded-tr-sm w-full`}>
<div className="flex items-start gap-2">
<Image
src={session.user.imageUrl}
alt={session.user.name}
width={24}
height={24}
className="w-6 h-6 rounded-full flex-shrink-0"
/>
<div className="flex-1">
<div className={`${theme === "dark" ? "text-gray-200" : "text-gray-700"} text-[12px] pt-0.5`}>
{textContent}
</div>
</div>
</div>
</div>
</div>
);
}

if (message.role === 'assistant') {
return (
<div className="px-2 py-1">
<div className={`p-3 rounded-lg ${theme === "dark" ? "bg-dark-border/40" : "bg-gray-100"} rounded-tl-sm w-full`}>
<div className={`text-xs ${theme === "dark" ? "text-gray-400" : "text-gray-500"} mb-1 flex items-center justify-between`}>
<div className="flex items-center gap-2">
ChartSmith
{isStreaming && (
<Loader2 className="w-3 h-3 animate-spin" />
)}
</div>
</div>
<div className={`${theme === "dark" ? "text-gray-200" : "text-gray-700"} text-[12px] markdown-content`}>
{textContent ? (
<ReactMarkdown>{textContent}</ReactMarkdown>
) : isStreaming ? (
<div className="flex items-center gap-2">
<div className="flex-shrink-0 animate-spin rounded-full h-3 w-3 border border-t-transparent border-primary"></div>
<div className={`text-xs ${theme === "dark" ? "text-gray-400" : "text-gray-500"}`}>
generating response...
</div>
</div>
) : null}
</div>
</div>
</div>
);
}

return null;
}
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