DeepSeek LLM integration guide

Available in

Python

Node.js

Overview

DeepSeek provides access to their latest models through their OpenAI-compatible API. These models are multilingual and text-only, making them suitable for a variety of agent applications.

Additional providers

DeepSeek models are also available through a number of other providers, such as Cerebras and Groq.

Usage

Use the OpenAI plugin's with_deepseek method to set the default agent session LLM to DeepSeek:

pip install "livekit-agents[openai]~=1.2"

pnpm add @livekit/agents-plugin-openai@1.x

Set the following environment variable in your .env file:

DEEPSEEK_API_KEY=<your-deepseek-api-key>

from livekit.plugins import openai

session = AgentSession(
    llm=openai.LLM.with_deepseek(
        model="deepseek-chat", # this is DeepSeek-V3
    ),
)

import * as openai from '@livekit/agents-plugin-openai';

const session = new voice.AgentSession({
   llm: openai.LLM.withDeepSeek({
    model: "deepseek-chat",  // this is DeepSeek-V3
   })
});

Parameters

This section describes some of the available parameters. For a complete reference of all available parameters, see the plugin reference links in the Additional resources section.

modelstr | DeepSeekChatModelsOptionalDefault: deepseek-chat

DeepSeek model to use. See models and pricing for a complete list.

temperaturefloatOptionalDefault: 1.0

Controls the randomness of the model's output. Higher values, for example 0.8, make the output more random, while lower values, for example 0.2, make it more focused and deterministic.

Valid values are between 0 and 2.

parallel_tool_callsboolOptional

Controls whether the model can make multiple tool calls in parallel. When enabled, the model can make multiple tool calls simultaneously, which can improve performance for complex tasks.

tool_choiceToolChoice | Literal['auto', 'required', 'none']OptionalDefault: auto

Controls how the model uses tools. Set to 'auto' to let the model decide, 'required' to force tool usage, or 'none' to disable tool usage.

Additional resources

The following links provide more information about the DeepSeek LLM integration.

Python Agents

Reference GitHub PyPI

Node.js Agents

Reference GitHub NPM

DeepSeek docs

DeepSeek API documentation.

Voice AI quickstart

Get started with LiveKit Agents and DeepSeek.