Sending a Simple Query to DeepSeek with Ruby

Sending a Simple Query to DeepSeek

Welcome to the first lesson of our course on creating a personal tutor with DeepSeek! DeepSeek is an advanced AI platform that offers state-of-the-art language models capable of understanding and generating human-like text. Its unique features include high accuracy in language comprehension, the ability to generate contextually relevant responses, and a robust API that supports seamless integration into various applications. These capabilities make DeepSeek an excellent choice for building AI tutors, as it can provide personalized and insightful interactions with users. In this lesson, we will explore the basics of interacting with DeepSeek's AI models through the OpenAI client . Our goal is to send a simple query to DeepSeek's language model and receive a response. This foundational step will set the stage for more complex interactions in future lessons. By understanding how to communicate with DeepSeek, you'll be equipped to harness its full potential in creating a personal tutor that can adapt to individual learning needs.

Setting Up Your Environment

Before we can send a query to DeepSeek, we need to set up our development environment. This involves installing the necessary tools and libraries. For this course, you will need the openai gem, which allows us to interact with DeepSeek's API through the OpenAI client. To install this gem, you can use the following command in your terminal: Shell gem install openai gem install openai If you are using the CodeSignal platform, this gem is pre-installed, so you can focus on writing and running your code without worrying about installation.

Setting the DeepSeek API Key as an Environment Variable

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Shell

gem install openai

Shell

export OPENAI_API_KEY=your_deepseek_api_key_here
export OPENAI_BASE_URL=https://api.deepseek.com

Visual Basic

set OPENAI_API_KEY=your_deepseek_api_key_here
set OPENAI_BASE_URL=https://api.deepseek.com

PowerShell

$env:OPENAI_API_KEY="your_deepseek_api_key_here"
$env:OPENAI_BASE_URL="https://api.deepseek.com"

Ruby

require "openai"

# Initialize the OpenAI client
client = OpenAI::Client.new

require "openai"

# Initialize the OpenAI client
client = OpenAI::Client.new

Ruby

client = OpenAI::Client.new(
  access_token: "deepseek_api_key",
  uri_base: "https://api.deepseek.com"
)

client = OpenAI::Client.new(
  access_token: "deepseek_api_key",
  uri_base: "https://api.deepseek.com"
)

Ruby

# Define a simple query to test the AI's capabilities
prompt = "Can you tell me an engineering joke?"

# Create a tutoring session query request to get the AI's explanation
response = client.chat(
  parameters: {
    model: "deepseek-ai/DeepSeek-V3",
    messages: [
      { role: "user", content: prompt }
    ]
  }
)

# Define a simple query to test the AI's capabilities
prompt = "Can you tell me an engineering joke?"

# Create a tutoring session query request to get the AI's explanation
response = client.chat(
  parameters: {
    model: "deepseek-ai/DeepSeek-V3",
    messages: [
      { role: "user", content: prompt }
    ]
  }
)

Ruby

# Extract the tutor's response from the API result
reply = response.dig("choices", 0, "message", "content").strip

# Display the query and the tutor's explanation
puts "Query: #{prompt}"
puts "Answer: #{reply}"

# Extract the tutor's response from the API result
reply = response.dig("choices", 0, "message", "content").strip

# Display the query and the tutor's explanation
puts "Query: #{prompt}"
puts "Answer: #{reply}"

text

Query: Can you tell me an engineering joke?
Answer: Why don't engineers use self-driving cars? They don't trust anything they didn't over-engineer themselves!

Query: Can you tell me an engineering joke?
Answer: Why don't engineers use self-driving cars? They don't trust anything they didn't over-engineer themselves!

Ruby

require "openai"

# Initialize the OpenAI client
client = OpenAI::Client.new(
  access_token: "deepseek_api_key",
  uri_base: "https://api.deepseek.com"
)

# Define a simple query to test the AI's capabilities
prompt = "Can you tell me an engineering joke?"

# Create a tutoring session query request to get the AI's explanation
response = client.chat(
  parameters: {
    model: "deepseek-ai/DeepSeek-V3",
    messages: [
      { role: "user", content: prompt }
    ]
  }
)

# Extract the tutor's response from the API result
reply = response.dig("choices", 0, "message", "content").strip

# Display the query and the tutor's explanation
puts "Query: #{prompt}"
puts "Answer: #{reply}"

require "openai"

# Initialize the OpenAI client
client = OpenAI::Client.new(
  access_token: "deepseek_api_key",
  uri_base: "https://api.deepseek.com"
)

# Define a simple query to test the AI's capabilities
prompt = "Can you tell me an engineering joke?"

# Create a tutoring session query request to get the AI's explanation
response = client.chat(
  parameters: {
    model: "deepseek-ai/DeepSeek-V3",
    messages: [
      { role: "user", content: prompt }
    ]
  }
)

# Extract the tutor's response from the API result
reply = response.dig("choices", 0, "message", "content").strip

# Display the query and the tutor's explanation
puts "Query: #{prompt}"
puts "Answer: #{reply}"

Ruby

require "openai"

# Initialize the OpenAI client
client = OpenAI::Client.new

Ruby

client = OpenAI::Client.new(
  access_token: "deepseek_api_key",
  uri_base: "https://api.deepseek.com"
)

Ruby

# Define a simple query to test the AI's capabilities
prompt = "Can you tell me an engineering joke?"

# Create a tutoring session query request to get the AI's explanation
response = client.chat(
  parameters: {
    model: "deepseek-ai/DeepSeek-V3",
    messages: [
      { role: "user", content: prompt }
    ]
  }
)

Ruby

# Extract the tutor's response from the API result
reply = response.dig("choices", 0, "message", "content").strip

# Display the query and the tutor's explanation
puts "Query: #{prompt}"
puts "Answer: #{reply}"

text

Query: Can you tell me an engineering joke?
Answer: Why don't engineers use self-driving cars? They don't trust anything they didn't over-engineer themselves!

Ruby

require "openai"

# Initialize the OpenAI client
client = OpenAI::Client.new(
  access_token: "deepseek_api_key",
  uri_base: "https://api.deepseek.com"
)

# Define a simple query to test the AI's capabilities
prompt = "Can you tell me an engineering joke?"

# Create a tutoring session query request to get the AI's explanation
response = client.chat(
  parameters: {
    model: "deepseek-ai/DeepSeek-V3",
    messages: [
      { role: "user", content: prompt }
    ]
  }
)

# Extract the tutor's response from the API result
reply = response.dig("choices", 0, "message", "content").strip

# Display the query and the tutor's explanation
puts "Query: #{prompt}"
puts "Answer: #{reply}"

Sending a Simple Query to DeepSeek

Setting Up Your Environment

Setting the DeepSeek API Key as an Environment Variable

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Initializing the OpenAI Client for DeepSeek

Sending Your First Query to DeepSeek

Extracting and Displaying the AI's Reply

Example: Full Code Implementation

Summary and Next Steps