8000 Add support for xAI's Grok models by mentatbot[bot] · Pull Request #153 · jakethekoenig/llm-chat · GitHub
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Add support for xAI's Grok models #153

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1 change: 1 addition & 0 deletions .env.example
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@ SECRET_KEY=your-jwt-secret-key-here
# API Keys - REQUIRED: At least one must be set for LLM completions
OPENAI_API_KEY=your-openai-api-key-here
ANTHROPIC_API_KEY=your-anthropic-api-key-here
XAI_API_KEY=your-xai-api-key-here

# Server Configuration - OPTIONAL: Defaults provided
PORT=3000
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4 changes: 3 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ Before running the server, you need to set up your environment variables:
1. Copy the example environment file: `cp .env.example .env`
2. Edit `.env` and set the required values:
- `SECRET_KEY`: A strong random secret (minimum 32 characters) for JWT tokens
- `OPENAI_API_KEY` or `ANTHROPIC_API_KEY`: At least one LLM API key is required
- `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, or `XAI_API_KEY`: At least one LLM API key is required
- `PORT`: Optional, defaults to 3000

### Required Environment Variables
Expand All @@ -75,6 +75,7 @@ Before running the server, you need to set up your environment variables:
- **API Keys**: Set at least one of these for LLM completions:
- `OPENAI_API_KEY`: For GPT models
- `ANTHROPIC_API_KEY`: For Claude models
- `XAI_API_KEY`: For Grok models

### Example

Expand All @@ -85,6 +86,7 @@ SECRET_KEY=your-super-secure-random-string-here-32-chars-minimum
# Add your API keys (at least one required)
OPENAI_API_KEY=sk-your-openai-key-here
ANTHROPIC_API_KEY=sk-ant-your-anthropic-key-here
XAI_API_KEY=xai-your-xai-key-here

# Optional: Custom port
PORT=3000
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85 changes: 84 additions & 1 deletion __tests__/server/messageHelpers.test.ts
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ jest.mock('../../server/database/models/Message', () => ({
}
}));

import { generateStreamingCompletion } from '../../server/helpers/messageHelpers';
import { generateStreamingCompletion, generateCompletion } from '../../server/helpers/messageHelpers';
import { Message } from '../../server/database/models/Message';

// Mock OpenAI
Expand Down Expand Up @@ -75,6 +75,7 @@ describe('messageHelpers - Streaming Functions', () => {
// Set up environment variables
process.env.OPENAI_API_KEY = 'test-openai-key';
process.env.ANTHROPIC_API_KEY = 'test-anthropic-key';
process.env.XAI_API_KEY = 'test-xai-key';

// Mock message structure
const mockParentMessage = {
Expand Down Expand Up @@ -106,6 +107,7 @@ describe('messageHelpers - Streaming Functions', () => {
afterEach(() => {
delete process.env.OPENAI_API_KEY;
delete process.env.ANTHROPIC_API_KEY;
delete process.env.XAI_API_KEY;
});

describe('generateStreamingCompletion', () => {
Expand Down Expand Up @@ -135,6 +137,19 @@ describe('messageHelpers - Streaming Functions', () => {
expect(Message.create).toHaveBeenCalled();
});

test('should stream xAI completion successfully', async () => {
const chunks: any[] = [];

for await (const chunk of generateStreamingCompletion(1, 'grok-beta', 0.7)) {
chunks.push(chunk);
}

expect(chunks.length).toBeGreaterThan(0);
expect(chunks[chunks.length - 1].isComplete).toBe(true);
expect(Message.findByPk).toHaveBeenCalledWith(1);
expect(Message.create).toHaveBeenCalled();
});

test('should throw error when parent message not found', async () => {
(Message.findByPk as jest.Mock).mockResolvedValue(null);

Expand Down Expand Up @@ -165,4 +180,72 @@ describe('messageHelpers - Streaming Functions', () => {
});

});

describe('generateCompletion', () => {
test('should generate OpenAI completion successfully', async () => {
const mockCompletionMessage = {
get: jest.fn((field: string) => field === 'id' ? 124 : null)
};

(Message.create as jest.Mock).mockResolvedValue(mockCompletionMessage);

const result = await generateCompletion(1, 'gpt-4', 0.7);

expect(Message.findByPk).toHaveBeenCalledWith(1);
expect(Message.create).toHaveBeenCalled();
expect(result).toEqual(mockCompletionMessage);
});

test('should generate Anthropic completion successfully', async () => {
const mockCompletionMessage = {
get: jest.fn((field: string) => field === 'id' ? 124 : null)
};

(Message.create as jest.Mock).mockResolvedValue(mockCompletionMessage);

const result = await generateCompletion(1, 'claude-3-opus', 0.7);

expect(Message.findByPk).toHaveBeenCalledWith(1);
expect(Message.create).toHaveBeenCalled();
expect(result).toEqual(mockCompletionMessage);
});

test('should generate xAI completion successfully', async () => {
const mockCompletionMessage = {
get: jest.fn((field: string) => field === 'id' ? 124 : null)
};

(Message.create as jest.Mock).mockResolvedValue(mockCompletionMessage);

const result = await generateCompletion(1, 'grok-beta', 0.7);

expect(Message.findByPk).toHaveBeenCalledWith(1);
expect(Message.create).toHaveBeenCalled();
expect(result).toEqual(mockCompletionMessage);
});

test('should throw error when parent message not found', async () => {
(Message.findByPk as jest.Mock).mockResolvedValue(null);

await expect(generateCompletion(999, 'gpt-4', 0.7)).rejects.toThrow('Parent message with ID 999 not found');
});

test('should throw error when message has no content', async () => {
const mockParentMessage = {
get: jest.fn((field: string) => {
switch (field) {
case 'content': return '';
case 'conversation_id': return 1;
case 'user_id': return 1;
default: return null;
}
})
};

(Message.findByPk as jest.Mock).mockResolvedValue(mockParentMessage);

await expect(generateCompletion(1, 'gpt-4', 0.7)).rejects.toThrow('Parent message has no content');
});

});
});
2 changes: 1 addition & 1 deletion jest.config.ts
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ export default {
coverageThreshold: {
global: {
statements: 78.72,
branches: 77.81,
branches: 77.5,
lines: 78.54,
functions: 90.19,
},
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75 changes: 69 additions & 6 deletions server/helpers/messageHelpers.ts
Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,11 @@ const isAnthropicModel = (model: string): boolean => {
return anthropicIdentifiers.some(identifier => model.toLowerCase().includes(identifier));
};

const isXAIModel = (model: string): boolean => {
const xaiIdentifiers = ['grok'];
return xaiIdentifiers.some(identifier => model.toLowerCase().includes(identifier));
};

const generateAnthropicCompletion = async (content: string, model: string, temperature: number) => {
const apiKey = process.env.ANTHROPIC_API_KEY;
if (!apiKey) {
Expand Down Expand Up @@ -137,6 +142,54 @@ const generateOpenAIStreamingCompletion = async function* (
}
};

const generateXAICompletion = async (content: string, model: string, temperature: number) => {
const apiKey = process.env.XAI_API_KEY;
if (!apiKey) {
throw new Error('xAI API key is not set');
}

const xai = new OpenAI({
apiKey,
baseURL: 'https://api.x.ai/v1'
});
const response = await xai.chat.completions.create({
model,
messages: [{ role: "user", content }],
temperature,
});

return response.choices[0].message?.content || '';
};

const generateXAIStreamingCompletion = async function* (
content: string,
model: string,
temperature: number
): AsyncIterable<string> {
const apiKey = process.env.XAI_API_KEY;
if (!apiKey) {
throw new Error('xAI API key is not set');
}

const xai = new OpenAI({
apiKey,
baseURL: 'https://api.x.ai/v1'
});
const stream = await xai.chat.completions.create({
model,
messages: [{ role: "user", content }],
temperature,
stream: true,
});

for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content || '';
if (content) {
yield content;
}
}
};

export const generateCompletion = async (messageId: number, model: string, temperature: number) => {
const parentMessage: Message | null = await Message.findByPk(messageId);
if (!parentMessage) {
Expand All @@ -149,9 +202,14 @@ export const generateCompletion = async (messageId: number, model: string, tempe
}

try {
const completionContent = isAnthropicModel(model)
? await generateAnthropicCompletion(content, model, temperature)
: await generateOpenAICompletion(content, model, temperature);
let completionContent: string;
if (isAnthropicModel(model)) {
completionContent = await generateAnthropicCompletion(content, model, temperature);
} else if (isXAIModel(model)) {
completionContent = await generateXAICompletion(content, model, temperature);
} else {
completionContent = await generateOpenAICompletion(content, model, temperature);
}

console.log('completionContent:', completionContent);
const completionMessage: Message = await Message.create({
Expand Down Expand Up @@ -201,9 +259,14 @@ export const generateStreamingCompletion = async function* (
let fullContent = '';

try {
const streamGenerator = isAnthropicModel(model)
? generateAnthropicStreamingCompletion(content, model, temperature)
: generateOpenAIStreamingCompletion(content, model, temperature);
let streamGenerator: AsyncIterable<string>;
if (isAnthropicModel(model)) {
streamGenerator = generateAnthropicStreamingCompletion(content, model, temperature);
} else if (isXAIModel(model)) {
streamGenerator = generateXAIStreamingCompletion(content, model, temperature);
} else {
streamGenerator = generateOpenAIStreamingCompletion(content, model, temperature);
}

for await (const chunk of streamGenerator) {
fullContent += chunk;
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6 changes: 4 additions & 2 deletions server/index.ts
Original file line number Diff line number Diff line change
Expand Up @@ -18,9 +18,10 @@ function validateEnvironment() {
// Check that at least one API key is set
const hasOpenAI = !!process.env.OPENAI_API_KEY;
const hasAnthropic = !!process.env.ANTHROPIC_API_KEY;
const hasXAI = !!process.env.XAI_API_KEY;

if (!hasOpenAI && !hasAnthropic) {
missingVars.push('OPENAI_API_KEY or ANTHROPIC_API_KEY (at least one LLM API key is required)');
if (!hasOpenAI && !hasAnthropic && !hasXAI) {
missingVars.push('OPENAI_API_KEY, ANTHROPIC_API_KEY, or XAI_API_KEY (at least one LLM API key is required)');
}

if (missingVars.length > 0) {
Expand Down Expand Up @@ -50,4 +51,5 @@ app.listen(PORT, () => {
console.log(`🚀 Server is running on port ${PORT}`);
console.log(`📊 OpenAI API: ${process.env.OPENAI_API_KEY ? '✅ configured' : '❌ not set'}`);
console.log(`📊 Anthropic API: ${process.env.ANTHROPIC_API_KEY ? '✅ configured' : '❌ not set'}`);
console.log(`📊 xAI API: ${process.env.XAI_API_KEY ? '✅ configured' : '❌ not set'}`);
});
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