Novita AI

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API Keys

Get your API key here

os.environ["NOVITA_API_KEY"] = "your-api-key"

Supported OpenAI Params

• max_tokens
• stream
• stream_options
• n
• seed
• frequency_penalty
• presence_penalty
• repetition_penalty
• stop
• temperature
• top_p
• top_k
• min_p
• logit_bias
• logprobs
• top_logprobs
• tools
• response_format
• separate_reasoning

Sample Usage

from litellm import completion
os.environ["NOVITA_API_KEY"] = ""

response = completion(
    model="novita/deepseek/deepseek-r1-turbo",
    messages=[{"role": "user", "content": "List 5 popular cookie recipes."}]
)

content = response.get('choices', [{}])[0].get('message', {}).get('content')
print(content)

1. Add model to config.yaml

model_list:
  - model_name: deepseek-r1-turbo
    litellm_params:
      model: novita/deepseek/deepseek-r1-turbo
      api_key: os.environ/NOVITA_API_KEY

2. Start Proxy

$ litellm --config /path/to/config.yaml

3. Make Request!

curl -X POST 'http://0.0.0.0:4000/chat/completions' \\
-H 'Content-Type: application/json' \\
-H 'Authorization: Bearer sk_sujEQQEjTRxGUiMLN3TJh2KadRX4pw2TLWRoIKeoYZ0' \\
-d '{
  "model": "deepseek-r1-turbo",
  "messages": [
      {"role": "user", "content": "List 5 popular cookie recipes."}
  ]
}
'

Tool Calling

from litellm import completion

# set env
os.environ["NOVITA_API_KEY"] = ""

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Get the current weather in a given location",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "The city and state, e.g. San Francisco, CA",
                    },
                    "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                },
                "required": ["location"],
            },
        },
    }
]
messages = [{"role": "user", "content": "What's the weather like in Boston today?"}]

response = completion(
    model="novita/deepseek/deepseek-r1-turbo",
    messages=messages,
    tools=tools,
)
# Add any assertions, here to check response args
print(response)
assert isinstance(response.choices[0].message.tool_calls[0].function.name, str)
assert isinstance(
    response.choices[0].message.tool_calls[0].function.arguments, str
)

JSON Mode

from litellm import completion 

os.environ['NOVITA_API_KEY'] = ""

messages = [
    {
        "role": "user",
        "content": "List 5 popular cookie recipes."
    }
]

completion(
    model="novita/deepseek/deepseek-r1-turbo", 
    messages=messages, 
    response_format={"type": "json_object"} # 👈 KEY CHANGE
)

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

1. Add model to config.yaml

model_list:
  - model_name: deepseek-r1-turbo
    litellm_params:
      model: novita/deepseek/deepseek-r1-turbo
      api_key: os.environ/NOVITA_API_KEY

2. Start Proxy

$ litellm --config /path/to/config.yaml

3. Make Request!

curl -X POST 'http://0.0.0.0:4000/chat/completions' \\
-H 'Content-Type: application/json' \\
-H 'Authorization: Bearer sk-1234' \\
-d '{
  "model": "deepseek-r1-turbo",
  "messages": [
      {"role": "user", "content": "List 5 popular cookie recipes."}
  ],
  "response_format": {"type": "json_object"}
}
'

Chat Models

🚨 LiteLLM supports ALL Novita AI models, send model=novita/<your-novita-model> to send it to Novita AI. See all Novita AI models here