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With Obiguard, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.
Provider Slug: deepseek

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Obiguard SDK Integration with DeepSeek Models

Obiguard provides a consistent API to interact with models from various providers. To integrate DeepSeek with Obiguard:

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1. Install the Obiguard SDK

Add the Obiguard SDK to your application to interact with DeepSeek AI’s API through Obiguard’s gateway.
  • Python SDK
pip install obiguard

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2. Initialize Obiguard with the Virtual Key

To use DeepSeek with Obiguard, get your API key from here, then add it to Obiguard to create the virtual key.
  • Python SDK
from obiguard import Obiguard

client = Obiguard(
    obiguard_api_key="sk-obg***",  # Your Obiguard API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for DeepSeek
)

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3. Invoke Chat Completions with DeepSeek

Use the Obiguard instance to send requests to DeepSeek. You can also override the virtual key directly in the API call if needed.
  • Python SDK
completion = client.chat.completions.create(
    messages= [{ "role": 'user', "content": 'Say this is a test' }],
    model= 'deepseek-chat'
)

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4. Invoke Multi-round Conversation with DeepSeek

  • Python SDK
from obiguard import Obiguard

client = Obiguard(
    obiguard_api_key="sk-obg***",  # Your Obiguard API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for DeepSeek
)

# Round 1
messages = [{"role": "user", "content": "What's the highest mountain in the world?"}]
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=messages
)

messages.append(response.choices[0].message)
print(f"Messages Round 1: {messages}")

# Round 2
messages.append({"role": "user", "content": "What is the second?"})
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=messages
)

messages.append(response.choices[0].message)
print(f"Messages Round 2: {messages}")

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5. JSON Output with DeepSeek

  • Python SDK
import json
from obiguard import Obiguard

client = Obiguard(
    obiguard_api_key="sk-obg***",  # Your Obiguard API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for DeepSeek
)

system_prompt = """
The user will provide some exam text. Please parse the "question" and "answer" and output them in JSON format.

EXAMPLE INPUT:
Which is the highest mountain in the world? Mount Everest.

EXAMPLE JSON OUTPUT:
{
    "question": "Which is the highest mountain in the world?",
    "answer": "Mount Everest"
}
"""

user_prompt = "Which is the longest river in the world? The Nile River."

messages = [{"role": "system", "content": system_prompt},
            {"role": "user", "content": user_prompt}]

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=messages,
    response_format={
        'type': 'json_object'
    }
)

print(json.loads(response.choices[0].message.content))

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Supported Endpoints

  1. CHAT_COMPLETIONS
  2. STREAM_CHAT_COMPLETIONS
The complete list of features supported in the SDK is available on the link below.

Obiguard SDK Client

Learn more about the Obiguard SDK Client