DeepSeek
DeepSeek AI provides the open-source DeepSeek V3 model, renowned for its cutting-edge reasoning and problem-solving capabilities.
Categories: Artificial Intelligence
Type: deepseek/v1
Connections
Version: 1
Bearer Token
Properties
| Name | Label | Type | Description | Required |
|---|---|---|---|---|
| token | Token | STRING | true |
Actions
Ask
Name: ask
Ask anything you want.
Properties
| Name | Label | Type | Description | Required |
|---|---|---|---|---|
| model | Model | STRING | ID of the model to use. | true |
| format | Format | STRING OptionsSIMPLE, ADVANCED | Format of providing the prompt to the model. | true |
| userPrompt | Prompt | STRING | User prompt to the model. | true |
| systemPrompt | System Prompt | STRING | System prompt to the model. | false |
| attachments | Attachments | ARRAY Items[FILE_ENTRY] | Only text and image files are supported. Also, only certain models supports images. Please check the documentation. | false |
| messages | Messages | ARRAY Items[{STRING(role), STRING(content), [FILE_ENTRY](attachments)}] | A list of messages comprising the conversation so far. | true |
| response | Response | OBJECT Properties{STRING(responseFormat), STRING(responseSchema)} | The response from the API. | true |
| maxTokens | Max Tokens | INTEGER | The maximum number of tokens to generate in the chat completion. | false |
| temperature | Temperature | NUMBER | Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic. | false |
| topP | Top P | NUMBER | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. | false |
| frequencyPenalty | Frequency Penalty | NUMBER | 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. | false |
| presencePenalty | Presence Penalty | NUMBER | 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. | false |
| stop | Stop | ARRAY Items[STRING] | Up to 4 sequences where the API will stop generating further tokens. | false |
Example JSON Structure
{
"label" : "Ask",
"name" : "ask",
"parameters" : {
"model" : "",
"format" : "",
"userPrompt" : "",
"systemPrompt" : "",
"attachments" : [ {
"extension" : "",
"mimeType" : "",
"name" : "",
"url" : ""
} ],
"messages" : [ {
"role" : "",
"content" : "",
"attachments" : [ {
"extension" : "",
"mimeType" : "",
"name" : "",
"url" : ""
} ]
} ],
"response" : {
"responseFormat" : "",
"responseSchema" : ""
},
"maxTokens" : 1,
"temperature" : 0.0,
"topP" : 0.0,
"frequencyPenalty" : 0.0,
"presencePenalty" : 0.0,
"stop" : [ "" ]
},
"type" : "deepseek/v1/ask"
}Output
The output for this action is dynamic and may vary depending on the input parameters. To determine the exact structure of the output, you need to execute the action.
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