--- title: DeepSeek Chat Model node documentation description: Learn how to use the DeepSeek Chat Model node in n8n. Follow technical documentation to integrate DeepSeek Chat Model node into your workflows. contentType: [integration, reference] priority: high --- # DeepSeek Chat Model node Use the DeepSeek Chat Model node to use DeepSeek's chat models with conversational [agents](/08-0-0-Workflow/glossary.md#ai-agent). On this page, you'll find the node parameters for the DeepSeek Chat Model node and links to more resources. ```{note} Credentials You can find authentication information for this node [here](/08-0-0-Workflow/integrations/builtin/credentials/deepseek.md). ``` ```{include} ../../../../../_snippets/integrations/builtin/cluster-nodes/sub-node-expression-resolution.md ``` ## Node parameters ### Model Select the model to use to generate the completion. n8n dynamically loads models from DeepSeek and you'll only see the models available to your account. ## Node options Use these options to further refine the node's behavior. ### Base URL Enter a URL here to override the default URL for the API. ### Frequency Penalty Use this option to control the chances of the model repeating itself. Higher values reduce the chance of the model repeating itself. ### Maximum Number of Tokens Enter the maximum number of tokens used, which sets the completion length. ### Response Format Choose **Text** or **JSON**. **JSON** ensures the model returns valid JSON. ### Presence Penalty Use this option to control the chances of the model talking about new topics. Higher values increase the chance of the model talking about new topics. ### Sampling Temperature Use this option to control the randomness of the sampling process. A higher temperature creates more diverse sampling, but increases the risk of hallucinations. ### Timeout Enter the maximum request time in milliseconds. ### Max Retries Enter the maximum number of times to retry a request. ### Top P Use this option to set the probability the completion should use. Use a lower value to ignore less probable options. ## Templates and examples ## Related resources As DeepSeek is API-compatible with OpenAI, you can refer to [LangChains's OpenAI documentation](https://js.langchain.com/docs/integrations/chat/openai/) for more information about the service. ```{include} ../../../../../_snippets/integrations/builtin/cluster-nodes/langchain-overview-link.md ```