Android 接入deepseek
DeepSeek 作为一款强大的 AI 开发工具，能够显著提升开发效率，尤其是在代码生成、错误检测和性能优化方面表现出色。本文将手把手教你如何在 Android Studio 中接入 DeepSeek，并充分发挥其潜力，让你在开发过程中事半功倍，下面介绍怎么接入。
一、前期准备
首先去DeepSeek注册账号，然后充值十块钱进去测试，并创建key，需要记住保存该key，否则下次需要重新创建
二、功能实现
1. manifest添加网络权限
<uses-permission android:name="android.permission.INTERNET">2.添加布局
<?xml version="1.0" encoding="utf-8"?>
<androidx.appcompat.widget.LinearLayoutCompat xmlns:android="http://schemas.android.com/apk/res/android"xmlns:app="http://schemas.android.com/apk/res-auto"xmlns:tools="http://schemas.android.com/tools"android:id="@+id/main"android:layout_width="match_parent"android:layout_height="match_parent"android:orientation="vertical"tools:context=".MainActivity"><ScrollViewandroid:layout_width="match_parent"android:layout_height="0dp"android:layout_weight="1"><!-- 使用水平 LinearLayout 包含 ImageView 和 EditText --><androidx.appcompat.widget.LinearLayoutCompatandroid:layout_width="match_parent"android:layout_height="wrap_content"android:orientation="horizontal"android:padding="8dp"><!-- 左侧的图片 --><androidx.appcompat.widget.AppCompatImageViewandroid:layout_width="wrap_content"android:layout_height="wrap_content"android:layout_gravity="top"/><!-- 右侧的 EditText --><androidx.appcompat.widget.AppCompatEditTextandroid:id="@+id/result"android:layout_width="0dp"android:layout_height="wrap_content"android:layout_weight="1"android:background="@null"android:gravity="top"android:hint="请等待AI分析解答..."android:inputType="textMultiLine"android:minHeight="200dp"android:paddingStart="8dp"android:scrollbars="vertical"tools:ignore="RtlSymmetry" /> <!-- 文本与图片之间的间距 --></androidx.appcompat.widget.LinearLayoutCompat></ScrollView><Viewandroid:layout_width="match_parent"android:layout_height="50dp" /><ProgressBarandroid:id="@+id/loading"android:visibility="gone"android:layout_gravity="center"android:layout_width="wrap_content"android:layout_height="wrap_content"/><!-- 底部输入部分 --><androidx.appcompat.widget.LinearLayoutCompatandroid:layout_width="match_parent"android:layout_height="wrap_content"android:orientation="vertical"><androidx.appcompat.widget.AppCompatEditTextandroid:id="@+id/et_input"android:layout_width="match_parent"android:layout_height="200dp"android:gravity="top"android:hint="请输入要发送的内容"android:inputType="textMultiLine" /><androidx.appcompat.widget.AppCompatButtonandroid:id="@+id/send"android:layout_width="wrap_content"android:layout_height="wrap_content"android:layout_gravity="center"android:text="发送" /></androidx.appcompat.widget.LinearLayoutCompat></androidx.appcompat.widget.LinearLayoutCompat>
3.请求数据
请求的数据，json格式
{"messages": [{"content": "You are a helpful assistant","role": "system"},{"content": "Hi","role": "user"}],"model": "deepseek-chat","frequency_penalty": 0,"max_tokens": 4096,"presence_penalty": 0,"response_format": {"type": "text"},"stop": null,"stream": false,"stream_options": null,"temperature": 1,"top_p": 1,"tools": null,"tool_choice": "none","logprobs": false,"top_logprobs": null
}content就是我们要搜索的内容，
model就是我们使用的训练模型，
temperature是我们要使用的场景
4.build.gradle配置
implementation 'com.squareup.okhttp3:okhttp:4.9.3'implementation 'com.fasterxml.jackson.core:jackson-databind:2.20.0' //JSON 数据处理implementation 'com.google.code.gson:gson:2.13.1' //JSON 序列化/反序列化5.返回数据，后续请求成功后可以按照这个去解析
{"id": "string","choices": [{"finish_reason": "stop","index": 0,"message": {"content": "string","reasoning_content": "string","tool_calls": [{"id": "string","type": "function","function": {"name": "string","arguments": "string"}}],"role": "assistant"},"logprobs": {"content": [{"token": "string","logprob": 0,"bytes": [0],"top_logprobs": [{"token": "string","logprob": 0,"bytes": [0]}]}],"reasoning_content": [{"token": "string","logprob": 0,"bytes": [0],"top_logprobs": [{"token": "string","logprob": 0,"bytes": [0]}]}]}}],"created": 0,"model": "string","system_fingerprint": "string","object": "chat.completion","usage": {"completion_tokens": 0,"prompt_tokens": 0,"prompt_cache_hit_tokens": 0,"prompt_cache_miss_tokens": 0,"total_tokens": 0,"completion_tokens_details": {"reasoning_tokens": 0}}
}6.代码实现
这个配置会一次行返回所有结果，如果需要直接返回，像网页那样一字一字打印显示，需要设置
params["stream"] = true，然后再处理数据流即可，拼接数据可以使用
val stringBuffer = StringBuffer()，具体可以自行实现，KEY就是官网申请的API key，替换成自己的即可。
private var params: HashMap<String, Any?> = HashMap()// 构建 messages 列表private var messages: MutableList<HashMap<String, Any?>> = ArrayList()private var message: HashMap<String, Any?> = HashMap()private val client = OkHttpClient.Builder().connectTimeout(60, TimeUnit.SECONDS).readTimeout(60, TimeUnit.SECONDS).writeTimeout(60, TimeUnit.SECONDS).build()private fun request() {binding.loading.visibility = View.VISIBLEval content: String = binding.etInput.getText().toString()message["content"] = contentmessage["role"] = "user"messages.add(message)// 填充 paramsparams["messages"] = messagesparams["model"] = "deepseek-chat"params["frequency_penalty"] = 0params["max_tokens"] = 2048params["presence_penalty"] = 0// 嵌套对象 response_formatval responseFormat: MutableMap<String, Any> = HashMap()responseFormat["type"] = "text"params["response_format"] = responseFormat// 其他字段params["stop"] = nullparams["stream"] = falseparams["stream_options"] = nullparams["temperature"] = 1.3params["top_p"] = 1params["tools"] = nullparams["tool_choice"] = "none"params["logprobs"] = falseparams["top_logprobs"] = nullval mediaType: MediaType? = "application/json".toMediaTypeOrNull()val objectMapper = ObjectMapper()var jsonString1: String? = nulltry {jsonString1 = objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(params)} catch (e: JsonParseException) {throw RuntimeException(e)}val body: RequestBody = jsonString1.toRequestBody(mediaType)val request = Request.Builder().url("https://api.deepseek.com/chat/completions").method("POST", body).addHeader("Content-Type", "application/json").addHeader("Accept", "application/json").addHeader("Authorization", "Bearer $KEY").build();val time = System.currentTimeMillis()client.newCall(request).enqueue(object : Callback {override fun onFailure(call: Call, e: IOException) {LogUtils.i(TAG,"onFailure =${e.message}")binding.loading.visibility = View.GONE}override fun onResponse(call: Call, response: Response) {if (response.body==null){LogUtils.i(TAG,"onResponse body is null")launchMain {binding.loading.visibility = View.GONE}return}//onResponseCall(call,response)try {val jsonString = response.body?.string()LogUtils.i(TAG,"onResponse body=${System.currentTimeMillis() - time}")val jsonObject = JsonParser.parseString(jsonString).asJsonObjectval choices = jsonObject.get("choices").asJsonArrayval choices0 = choices[0].asJsonObjectval message1 = choices0.get("message").asJsonObjectval result = message1.get("content").asStringLogUtils.i(TAG,"onResponse result=${result} jsonString=$jsonString")launchMain {binding.result.setText(result)binding.loading.visibility = View.GONE}}catch (e:Exception){LogUtils.i(TAG,"onResponse result=${e.message}")launchMain {binding.loading.visibility = View.GONE}}}})}最后贴上效果，这样就可以让自己app集成deepseek，有问题也可以留言探讨。
