Provider: DeepSeek

Use Respan Gateway to call DeepSeek models (deepseek-chat, deepseek-reasoner) while keeping unified observability (logs, cost, latency, reliability) in Respan.

Quick setup

Send your first request

Pick the integration that matches your stack. The base URL is https://api.respan.ai/api and the only key needed is your RESPAN_API_KEY.

from openai import OpenAI
client = OpenAI(
    api_key="YOUR_RESPAN_API_KEY",
    base_url="https://api.respan.ai/api",
)
response = client.chat.completions.create(
    model="deepseek/deepseek-chat",
    messages=[{"role": "user", "content": "Hello, DeepSeek!"}],
)
print(response.choices[0].message.content)

More integrations

DeepSeek models work with every Respan gateway integration:

• OpenAI SDK
• OpenAI Agents SDK
• LangChain
• LangGraph
• LlamaIndex
• Pydantic AI
• Respan native (OTel)

Switch models

Change the model parameter to call any supported model through the same client. Use the deepseek/ prefix to disambiguate when routing across providers. Browse the full list on the Models page.

client.chat.completions.create(model="deepseek/deepseek-chat", messages=messages)
client.chat.completions.create(model="deepseek/deepseek-reasoner", messages=messages)
client.chat.completions.create(model="openai/gpt-5.5", messages=messages)
client.chat.completions.create(model="anthropic/claude-sonnet-4-5", messages=messages)

Use your own DeepSeek key (BYOK)

Credits are the default path. If you’d rather bill DeepSeek directly, attach your own provider key.

Override credentials per model (Optional)

Use credential_override when one model on a request should use a different DeepSeek key than the default.

{
  "customer_credentials": {
    "deepseek": { "api_key": "YOUR_DEEPSEEK_API_KEY" }
  },
  "credential_override": {
    "deepseek/deepseek-chat": { "api_key": "ANOTHER_DEEPSEEK_API_KEY" }
  }
}

Log without proxying (Optional)

Already calling DeepSeek directly? Send logs to Respan asynchronously to track cost, latency, and performance for those external calls.

import requests
requests.post(
    "https://api.respan.ai/api/request-logs/create/",
    headers={
        "Authorization": "Bearer YOUR_RESPAN_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "deepseek/deepseek-chat",
        "prompt_messages": [{"role": "user", "content": "Hello, how are you?"}],
        "completion_message": {"role": "assistant", "content": "Hello from DeepSeek through Respan."},
        "cost": 0.001,
        "generation_time": 1.2,
        "customer_params": {"customer_identifier": "user_123"},
    },
)

See the logging guide for the full setup.