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This documentation is for the new preview UI. It’s still being refined and is subject to change. For documentation for the old UI, see Knowledge Base.

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Note on third‑party tools

We aim to provide accurate and helpful details about third‑party tools, but we can’t guarantee that this information is always complete or up to date. If you notice any discrepancies, feel free to share them in the feedback section below. For the most reliable information, please always refer to the third‑party tool’s official documentation.

DeepSeek is an AI developer of large language models (LLM) focused on providing high performance models.

Connections

API Key

The DeepSeek API Key to use in order to authenticate with the DeepSeek API.

  1. Login to DeepSeek and navigate to the API Keys section.
  2. Select Create New API Key and enter into the connection configuration of the integration.
Input Comments Default
API Key DeepSeek API Key.

Actions

Create Chat Completion

Creates a model response for the given chat conversation.

Input Comments Default
Connection
Messages A list of messages comprising the conversation so far.
Model The model to use in order to generate the chat completion.
Frequency Penalty Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
Max Tokens Integer between 1 and 8192. The maximum number of tokens that can be generated in the chat completion.The total length of input tokens and generated tokens is limited by the model's context length. If max_tokens is not specified, the default value 4096 is used.
Presence Penalty Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
Response Format The format of the response. The response format can be either 'json_object' or 'text'.
Stop Sequence(s) The stop sequence(s) to use in order to generate the chat completion.
Stream If set, partial message deltas will be sent. Tokens will be sent as data-only server-sent events (SSE) as they become available, with the stream terminated by a data: [DONE] message. false
Include Usage Only set this when you set stream: When true, an additional chunk will be streamed before the data: [DONE] message. The usage field on this chunk shows the token usage statistics for the entire request, and the choices field will always be an empty array. All other chunks will also include a usage field, but with a null value. false
Temperature What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. [We generally recommend altering this or top_p but not both].
Top P Number between 0 and 1. Higher values like 0.95 will make the output more random, while lower values like 0.05 will make it more focused and deterministic. [We generally recommend altering this or temperature but not both].
Tools The tools to use in order to generate the chat completion.
Tool Choice Controls which (if any) tool is called by the model. using 'none' means the model will not call any tool and instead generates a message. using 'auto' means the model can pick between generating a message or calling one or more tools. using 'required' means the model must call one or more tools. Specifying a particular tool via {type: "function", function: {name: "my_function"}} forces the model to call that tool.none is the default when no tools are present. auto is the default if tools are present.
Should return Log Probabilities Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message. false
Top Log Probabilities An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.

List Models

Retrieves the currently available models, and provides basic information about each one such as the owner and availability.

Input Comments Default
Connection

Raw Request

Send a Raw Request to the DeepSeek API.

Input Comments Default
Connection
URL This is the URL to call.
Method The HTTP method to use.
Data The HTTP body payload to send to the URL.
Form Data The Form Data to be sent as a multipart form upload.
File Data File Data to be sent as a multipart form upload.
File Data File Names File names to apply to the file data inputs. Keys must match the file data keys above.
Query Parameter A list of query parameters to send with the request. This is the portion at the end of the URL similar to ?key1=value1&key2=value2.
Header A list of headers to send with the request.
Response Type The type of data you expect in the response. You can request json, text, or binary data. json
Timeout The maximum time that a client will await a response to its request
Debug Request Enabling this flag will log out the current request. false
Retry Delay (ms) The delay in milliseconds between retries. This is used when 'Use Exponential Backoff' is disabled. 0
Retry On All Errors If true, retries on all erroneous responses regardless of type. This is helpful when retrying after HTTP 429 or other 3xx or 4xx errors. Otherwise, only retries on HTTP 5xx and network errors. false
Max Retry Count The maximum number of retries to attempt. Specify 0 for no retries. 0
Use Exponential Backoff Specifies whether to use a pre-defined exponential backoff strategy for retries. When enabled, 'Retry Delay (ms)' is ignored. false