DeepSeek

Overview

DeepSeek integration is implemented using direct API calls to the DeepSeek chat completions endpoint, with support for the standard function calling tools.

Implementation

Provider Setup

class DeepSeekProvider implements LLMProvider {
  async generateResponse(
    messages: Array<{ role: string; content: string }>, 
    cleanContent: string
  ): Promise<LLMResponse>
}

Message Generation

// Message role mapping
const _messages = messages.map(msg => {
  if (msg.role === 'user') {
    return {role: msg.role, content: cleanContent}
  } else if (msg.role === 'assistant') {
    return {role: 'user', content: msg.content}
  } else {
    return msg
  }
});

// API Request
const res = await fetch('https://api.deepseek.com/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${process.env.DEEPSEEK_API_KEY}`
  },
  body: JSON.stringify({
    model: 'deepseek-chat',
    messages: _messages,
    tools: tools,
  })
});

Features

Supported Capabilities

• Direct API integration

• Function calling support

• Role-based messaging

• Custom message mapping

Function Tools

• Image generation

• Weather data

• Market data

• Time information

Error Handling

Implementation

try {
  const res = await fetch('https://api.deepseek.com/chat/completions', ...);
  const json = await res.json();
  return json.choices[0].message;
} catch (error) {
  console.error('DeepSeek Error:', error);
  throw error;
}

Common Errors

• API authentication

• Rate limiting

• Invalid requests

• Network issues

Best Practices

Configuration

• Secure API key storage

• Request validation

• Response handling

• Error logging

Message Processing

• Role mapping

• Content cleaning

• Tool configuration

• Response validation

Related Documentation

• LLM Factory

• Function Calling

• API Reference