AI Study Online
AI Tutorials

Step-by-Step Guide: Connect DeepSeek LLM to Claude Code for Cost-Effective Local & Cloud Development

5 min read

1. Pre-Deployment Preparation Work

1.1 Apply DeepSeek Official API Credentials

Visit DeepSeek's official developer portal to register an account, create API keys for DeepSeek-V4 series models. Store the generated API key securely; avoid hardcoding keys directly inside project source files for security compliance.

1.2 Install Dependent Runtime Environment

Ensure your local machine has Python and Claude Code client pre-installed. Run terminal installation commands for dependency packages required for API forwarding:

pip install openai python-dotenv requests

Create a project folder and enter the working directory:

mkdir claude-deepseek-bridge && cd claude-deepseek-bridge

2. Build Custom API Forward Bridge (Core Step)

DeepSeek follows OpenAI-compatible API request format, build a lightweight middleware script to connect Claude Code with DeepSeek backend. Create .env environment configuration file first to save sensitive credentials:

DEEPSEEK_API_KEY=your_deepseek_api_key_here
DEEPSEEK_BASE_URL=https://api.deepseek.com/v1
TARGET_MODEL=deepseek-v4

Create deepseek_bridge.py forwarding script to unify request format matching Claude Code calling specification:

import os
from dotenv import load_dotenv
from openai import OpenAI

load_dotenv()

def get_deepseek_client():
    client = OpenAI(
        api_key=os.getenv("DEEPSEEK_API_KEY"),
        base_url=os.getenv("DEEPSEEK_BASE_URL")
    )
    return client

def llm_call(prompt, temperature=0.1):
    client = get_deepseek_client()
    res = client.chat.completions.create(
        model=os.getenv("TARGET_MODEL"),
        messages=[{"role":"user","content":prompt}],
        temperature=temperature
    )
    return res.choices[0].message.content

3. Configure Claude Code Custom Model Source

Open Claude Code configuration panel, select custom model access option, fill in local bridge service address or remote API entry. Two configuration modes for different development scenarios:

Mode 1: Local Runtime Connection

Start local bridge service via terminal:

python deepseek_bridge.py

In Claude Code settings, add custom model endpoint: http://127.0.0.1:5000/v1 and bind pre-set DeepSeek model name.

Mode 2: Remote Server Deployment

Deploy bridge script to your overseas cloud VPS, open corresponding firewall port, input public network URL into Claude Code remote model configuration.

4. Parameter Optimization for Code Scenarios

Adjust generation hyperparameters inside Claude Code workspace configuration to fit programming development:

  • Temperature set between 0.05~0.2 to reduce random output and stabilize code syntax;
  • Max context length aligned with DeepSeek's native long-text limit to support full-project file reading.

Sample configuration snippet saved as workspace.config.json:

{
  "model": "deepseek-v4",
  "temperature": 0.1,
  "max_tokens": 8192,
  "stream": true
}

5. Functional Verification Test

Run a practical coding task inside Claude Code to verify successful docking, test command:

Generate a complete Flask backend user login interface with parameter verification and exception capture, output standard Python code.

If DeepSeek returns structured executable code without formatting chaos, the entire access process is finished normally.

6. Practical Business Advantages for Overseas Developers

  1. Cost Control: DeepSeek's billing price is far lower than mainstream closed-source models, effectively lowering monthly API expenditure for long-term development;
  2. Flexible Switching: Modify TARGET_MODEL field in .env to switch between DeepSeek coding model and general chat model without altering Claude Code overall configuration;
  3. Compliance Friendly: Cloud API access avoids local large-model hardware deployment cost, applicable for small overseas independent teams and solo developers.

Common Troubleshooting Tips

  • API request failure: Double-check API key validity and base URL spelling, confirm account balance on DeepSeek backend;
  • Slow response speed: Switch to nearby regional API access node provided by DeepSeek official;
  • Code format disorder: Lower temperature value in configuration file and restart Claude Code workspace.
Share this article

Related Articles

AI TutorialsBeginner

How to Write Prompts That Actually Work: The 5-Point Framework

Vague prompts get mediocre answers. Master the 5-Point Prompt Framework — Role, Context, Task, Format, Constraints — and get dramatically better results from any AI tool.

5 min read
PromptsPrompt EngineeringFramework