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Proposal - Deepseek (Independent Publisher) #3767

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Proposal - Deepseek (Independent Publisher) #3767

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e9e109f
Proposal init
fordosa90 Jan 27, 2025
c0ff5af
Add deepseek
fordosa90 Feb 16, 2025
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394 changes: 394 additions & 0 deletions independent-publisher-connectors/Deepseek/apiDefinition.swagger.json
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{
"swagger": "2.0",
"info": {
"title": "Default title",
"description": "Deepseek is providing various advanced LLMs used for tasks such as maths, coding and natural language reasoning.",
"version": "1.0",
"contact": {
"name": "Fördős András",
"email": "[email protected]"
}
},
"host": "api.deepseek.com",
"basePath": "/",
"schemes": [
"https"
],
"consumes": [
"application/json"
],
"produces": [],
"paths": {
"/chat/completions": {
"post": {
"responses": {
"200": {
"description": "OK",
"schema": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "A unique identifier for the chat completion.",
"title": "ID"
},
"choices": {
"type": "array",
"items": {
"type": "object",
"properties": {
"finish_reason": {
"type": "string",
"description": "The reason the model stopped generating tokens.",
"title": "Finish reason"
},
"index": {
"type": "integer",
"format": "int32",
"description": "The index of the choice in the list of choices.",
"title": "Index"
},
"message": {
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The contents of the message.",
"title": "Content"
},
"role": {
"type": "string",
"description": "The role of the author of this message.",
"title": "Role"
},
"reasoning_content": {
"type": "string",
"description": "The reasoning contents of the assistant message, before the final answer.",
"title": "Reasoning content"
}
},
"description": "A chat completion message generated by the model.",
"title": "Message"
},
"logprobs": {
"type": "object",
"description": "Log probability information for the choice.",
"title": "Log probability"
}
}
},
"description": "A list of chat completion choices.",
"title": "Choices"
},
"created": {
"type": "integer",
"format": "int32",
"description": "The Unix timestamp (in seconds) of when the chat completion was created.",
"title": "Created"
},
"model": {
"type": "string",
"description": "The model used for the chat completion.",
"title": "Model"
},
"system_fingerprint": {
"type": "string",
"description": "This fingerprint represents the backend configuration that the model runs with.",
"title": "System fingerprint"
},
"object": {
"type": "string",
"description": "The object type.",
"title": "Object"
},
"usage": {
"type": "object",
"properties": {
"completion_tokens": {
"type": "integer",
"format": "int32",
"description": "Number of tokens in the generated completion.",
"title": "Tokens (completion)"
},
"prompt_tokens": {
"type": "integer",
"format": "int32",
"description": "Number of tokens in the prompt. It equals prompt_cache_hit_tokens + prompt_cache_miss_tokens.",
"title": "Tokens (prompt)"
},
"total_tokens": {
"type": "integer",
"format": "int32",
"description": "Total number of tokens used in the request (prompt + completion).",
"title": "Tokens (total)"
},
"prompt_cache_hit_tokens": {
"type": "integer",
"format": "int32",
"description": "Number of tokens in the prompt that hits the context cache.",
"title": "Tokens (prompt cache hit)"
},
"prompt_cache_miss_tokens": {
"type": "integer",
"format": "int32",
"description": "Number of tokens in the prompt that misses the context cache.",
"title": "Tokens (prompt cache miss)"
},
"completion_tokens_details": {
"type": "object",
"description": "Breakdown of tokens used in a completion.",
"title": "Token details",
"properties": {
"reasoning_tokens": {
"type": "integer",
"description": "Tokens generated by the model for reasoning.",
"title": "Reasoning tokens",
"format": "int32"
}
}
}
},
"description": "Usage statistics for the completion request.",
"title": "Usage"
}
}
}
}
},
"description": "Creates a model response for the given chat conversation.",
"summary": "Chat Completion",
"operationId": "ChatCompletion",
"parameters": [
{
"name": "body",
"in": "body",
"required": false,
"schema": {
"type": "object",
"properties": {
"messages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"content": {
"type": "string",
"description": "The contents of the system message.",
"title": "Content"
},
"role": {
"type": "string",
"description": "The role of the messages author, eg 'system'.",
"title": "Role"
},
"name": {
"type": "string",
"description": "An optional name for the participant. Provides the model information to differentiate between participants of the same role.",
"title": "Name"
}
}
},
"description": "A list of messages comprising the conversation so far.",
"title": "Messages"
},
"model": {
"type": "string",
"description": "ID of the model to use. You can use deepseek-chat.",
"title": "Model"
},
"frequency_penalty": {
"type": "integer",
"format": "int32",
"description": "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.",
"title": "Penalty (frequency)"
},
"max_tokens": {
"type": "integer",
"format": "int32",
"description": "Integer between 1 and 8192. The maximum number of tokens that can be generated in the chat completion, defaulted to 4096.",
"title": "Max tokens"
},
"presence_penalty": {
"type": "integer",
"format": "int32",
"description": "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.",
"title": "Penalty (presence)"
},
"response_format": {
"type": "object",
"properties": {
"type": {
"type": "string",
"description": "Type of response.",
"title": "Type",
"enum": [
"text",
"json_object"
]
}
},
"description": "An object specifying the format that the model must output.",
"title": "Response format"
},
"temperature": {
"type": "integer",
"format": "int32",
"description": "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.",
"title": "Temperature"
},
"top_p": {
"type": "integer",
"format": "int32",
"description": "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.",
"title": "Top_p"
},
"logprobs": {
"type": "boolean",
"description": "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.",
"title": "Log probabilities"
},
"top_logprobs": {
"type": "string",
"description": "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.",
"title": "Top logprobs"
}
}
}
}
]
}
},
"/user/balance": {
"get": {
"responses": {
"200": {
"description": "OK",
"schema": {
"type": "object",
"properties": {
"is_available": {
"type": "boolean",
"description": "Whether the user's balance is sufficient for API calls.",
"title": "Is available"
},
"balance_infos": {
"type": "array",
"items": {
"type": "object",
"properties": {
"currency": {
"type": "string",
"description": "The currency of the balance.",
"title": "Currency"
},
"total_balance": {
"type": "string",
"description": "The total available balance, including the granted balance and the topped-up balance.",
"title": "Balance (total)"
},
"granted_balance": {
"type": "string",
"description": "The total not expired granted balance.",
"title": "Balance (granted)"
},
"topped_up_balance": {
"type": "string",
"description": "The total topped-up balance.",
"title": "Balance (topped up))"
}
}
},
"description": "Details of balance.",
"title": "Balance info"
}
}
}
}
},
"summary": "Get Balance",
"operationId": "GetBalance",
"description": "Get user current balance.",
"parameters": []
}
},
"/models": {
"get": {
"responses": {
"200": {
"description": "OK",
"schema": {
"type": "object",
"properties": {
"object": {
"type": "string",
"description": "Object.",
"title": "Object",
"x-ms-visibility": "internal"
},
"data": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The model identifier, which can be referenced in the API endpoints.",
"title": "ID"
},
"object": {
"type": "string",
"description": "The object type, which is always \"model\".",
"title": "Object"
},
"owned_by": {
"type": "string",
"description": "The organization that owns the model.",
"title": "Owned by"
}
}
},
"description": "Array of detailed data.",
"title": "Data"
}
}
}
}
},
"summary": "List Models",
"operationId": "ListModels",
"description": "Lists the currently available models, and provides basic information about each one such as the owner and availability.",
"parameters": []
}
}
},
"definitions": {},
"parameters": {},
"responses": {},
"securityDefinitions": {
"api_key": {
"type": "apiKey",
"in": "header",
"name": "api_key"
}
},
"security": [
{
"api_key": []
}
],
"tags": [],
"x-ms-connector-metadata": [
{
"propertyName": "Website",
"propertyValue": "https://platform.deepseek.com/"
},
{
"propertyName": "Privacy policy",
"propertyValue": "https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html"
},
{
"propertyName": "Categories",
"propertyValue": "AI"
}
]
}
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