DeepSeek模型:支持DeepSeek模型对话,文本输入。
本文档主要针对需要集成HTTP API的技术开发工程师,详细描述DeepSeek模型的技术内容。
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温馨提示:
应用ID
和 应用密钥
,请按照新手指南 获取。有道deepseek (可用手机号登录体验)
DeepSeek模型API HTTPS地址:
https://openapi.youdao.com/llmgateway/api/v1/chat/completions
调用方在集成大模型翻译API时,请遵循以下规则。
规则 | 描述 |
---|---|
传输方式 | HTTPS |
请求方式 | POST |
请求格式 | application/json |
调用API需要向接口发送以下字段来访问服务。
参数名称 | 参数值 | 是否必须 | 示例 | 备注 |
---|---|---|---|---|
Content-Type | application/json | 是 | application/json | |
Authorization | Bearer ${api_key} | 是 | 在智云控制台申请 | token鉴权 |
Body
名称 | 类型 | 是否必须 | 默认值 | 备注 | 其他信息 |
---|---|---|---|---|---|
model | string | 必须 | 模型名称 | ||
messages | object [] | 必须 | 消息列表 | [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "How's the weather in Hangzhou?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "chatcmpl-tool-f6c2f72b91284f31b51988456cd9e8f0", "type": "function", "function": { "name": "get_weather", "arguments": "{\"location\":\"Hangzhou\"}" } } ] }, { "role": "tool", "tool_call_id": "chatcmpl-tool-f6c2f72b91284f31b51988456cd9e8f0", "content": "24℃" }, { "role": "assistant", "content": "The weather in Hangzhou is currently 24°C." } ] | |
stream | boolean | 非必须 | 是否流式返回:默认值 false | ||
stream_options | object | 非必须 | 流式响应时的配置 | 备注: 流式响应时的配置 | |
max_tokens | integer | 非必须 | 模型的最大tokens数量:默认值 4096,最大16k | ||
stop | string [] | 非必须 | 模型遇到 stop 字段所指定的字符串时将停止继续生成,这个词语本身不会输出。最多支持 4 个字符串。 | 类型: string 或 string [] | |
presence_penalty | number | 非必须 | 存在惩罚系数。如果值为正,会根据新 token 到目前为止是否出现在文本中对其进行惩罚,从而增加模型谈论新主题的可能性。取值范围为 [-2.0, 2.0]。 | ||
frequency_penalty | number | 非必须 | 频率惩罚系数。如果值为正,会根据新 token 在文本中的出现频率对其进行惩罚,从而降低模型逐字重复的可能性。取值范围为 [-2.0, 2.0]。 | ||
temperature | number | 非必须 | 采样温度。控制了生成文本时对每个候选词的概率分布进行平滑的程度。取值范围为 [0, 2]。当取值为 0 时模型仅考虑对数概率最大的一个 token。较高的值(如 0.8)会使输出更加随机,而较低的值(如 0.2)会使输出更加集中确定。通常建议仅调整 temperature 或 top_p 其中之一,不建议两者都修改。 | ||
top_p | number | 非必须 | 核采样概率阈值。模型会考虑概率质量在 top_p 内的 token 结果。取值范围为 [0, 1]。当取值为 0 时模型仅考虑对数概率最大的一个 token。如 0.1 意味着只考虑概率质量最高的前 10% 的 token,取值越大生成的随机性越高,取值越低生成的确定性越高。通常建议仅调整 temperature 或 top_p 其中之一,不建议两者都修改。 | ||
logit_bias | object | 非必须 | 调整指定 token 在模型输出内容中出现的概率,使模型生成的内容更加符合特定的偏好。logit_bias 字段接受一个 map 值,其中每个键为词表中的 token ID(使用 tokenization 接口获取),每个值为该 token 的偏差值,取值范围为 [-100, 100]。-1 会减少选择的可能性,1 会增加选择的可能性;-100 会完全禁止选择该 token,100 会导致仅可选择该 token。该参数的实际效果可能因模型而异。 | 备注: 调整指定 token 在模型输出内容中出现的概率,使模型生成的内容更加符合特定的偏好。logit_bias 字段接受一个 map 值,其中每个键为词表中的 token ID(使用 tokenization 接口获取),每个值为该 token 的偏差值,取值范围为 [-100, 100]。 -1 会减少选择的可能性,1 会增加选择的可能性;-100 会完全禁止选择该 token,100 会导致仅可选择该 token。该参数的实际效果可能因模型而异。 | |
tools | object [] | 非必须 | 待调用工具的列表,模型返回信息中可包含。当您需要让模型返回待调用工具时,需要配置该结构体。 | [{ "type": "function", "function": { "name": "get_weather", "description": "Get weather of an location, the user shoud supply a location first", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state, e.g. San Francisco, CA" } }, "required": ["location"] } } }] |
Body示例
{
"model": "deepseek-r1-250120",
"messages": [{
"role": "user",
"content": "你好,你是谁?"
}],
"stream": true,
"max_tokens": 1000,
"stream_options": {
"include_usage": true
},
"presence_penalty": 0,
"frequency_penalty": 0,
"temperature": 0,
"top_p": 0
}
1.点击应用总览-API Key
模型 | 版本 | 最大上下文长度 | 最大输入长度(token) | 最大输出长度 | 最大思考内容长度 | 刊例价(元/1M token) |
---|---|---|---|---|---|---|
DeepSeek-R1 | 实时 | 64k | 48k | 16k | 16k | 输入:4元 输出:16元 |
DeepSeek-V3 | 实时 | 64k | 48k | 16k | - | 输入:2元 输出:8元 |
{
"id": "chatcmpl-c26df7f617084d33b35bca90e632d35e",
"created": 1754381369,
"choices": [
{
"index": 0,
"finish_reason": "stop",
"delta": null,
"message": {
"role": "assistant",
"content": "\n\n您好!我是由中国的深度求索(DeepSeek)公司开发的智能助手DeepSeek-R1。如您有任何任何问题,我会尽我所能为您提供帮助。",
"reasoning_content": "您好!我是由中国的深度求索(DeepSeek)公司开发的智能助手DeepSeek-R1。如您有任何任何问题,我会尽我所能为您提供帮助。\n",
"tool_calls": []
}
}
],
"usage": {
"completion_tokens": 75,
"prompt_tokens": 4,
"total_tokens": 79,
"prompt_tokens_details": {
"cached_tokens": 0
},
"completion_tokens_details": {
"reasoning_tokens": 37
}
},
"model": "deepseek_r1",
"object": "chat.completion"
}
{
"code": 401,
"msg": "account overdue bills",
"request_id": "7da54d61-0b53-4695-9edd-4aea9de0dfc2"
}
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data:[DONE]
{
"code": 401,
"msg": "account overdue bills",
"request_id": "7da54d61-0b53-4695-9edd-4aea9de0dfc2"
}
错误码 | 含义 |
---|---|
400 - 格式错误 | 原因:请求体格式错误解决方法:检查入参格式是否正确,不是合法的JSON结构,content字段要求传String,实际传了Array,返回结构:返回Json结果示例如下 {"code": 400,"msg": "Request","request_id": "ac44d1fc-0daf-4035-8c4b-059c7f6bb221"} |
401 - 认证失败 | 原因:API key 错误、无权限、账户余额不足,认证失败.解决方法:请检查您的 API key 是否正确是否在智云控制台开通了deepseek权限账户余额是否充足.返回结构:返回Json结果示例如下: {"code": 401,"msg": "account overdue bills","request_id": "7da54d61-0b53-4695-9edd-4aea9de0dfc2"} |
422 - 业务异常 | 原因:参数异常、超时异常等,解决方法:请根据错误信息提示修改参数,或联系我们解决.返回结构:返回Json结果示例如下:{"code": 100102,"msg": "USER_WRONG_MESSAGES_ROLE","request_id": "ac44d1fc-0daf-4035-8c4b-059c7f6bb259"} |
429 - 请求速率达到上限 | 因:请求速率(TPM 或 RPM)达到上限.解决方法:请合理规划您的请求速率.返回结构:返回Json结果示例如下:{"code": 104203,"msg": "TPM exceed limit","request_id": "7da54d61-0b53-4695-9edd-4aea9de0dfc2"} |
500 - 服务器故障 | 原因:服务器内部故障.解决方法:请等待后重试。若问题一直存在,请联系我们解决 |
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