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Fix API correctness issues found during static audit

Browse Source 
- GeminiNanoModel: Rewrite to use actual ML Kit Prompt API
  (Generation.getClient(), checkStatus(), download(), warmup())
- MediaPipeModel: Fix streaming to use sync fallback since
  MediaPipe requires result listener set at build time
- ApiModels: Add @SerializedName("object") for OpenAI compat,
  add "created" timestamp to ChatResponse/StreamChunk
- settings.gradle.kts: Fix dependencyResolutionManagement typo
- MainActivity: Use GradientDrawable.setColor() to preserve
  oval shape on status dot
- Add Gradle wrapper scripts (gradlew, gradlew.bat, jar)

https://claude.ai/code/session_01GvqMLSMmfMR8uz66BFVXX2
This commit is contained in:
Claude
2026-02-28 14:27:46 +00:00
parent 12de200450
commit 43fb67d80a
8 changed files with 304 additions and 78 deletions
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107
app/src/main/java/com/pixel10/ai/inference/GeminiNanoModel.kt
View File

@@ -2,17 +2,16 @@ package com.pixel10.ai.inference
import android.content.Context
import android.util.Log
import com.google.mlkit.genai.prompt.DownloadStatus
import com.google.mlkit.genai.prompt.FeatureStatus
import com.google.mlkit.genai.prompt.Generation
import com.google.mlkit.genai.prompt.GenerativeModel
import com.google.mlkit.genai.prompt.type.Content
import com.google.mlkit.genai.prompt.type.TextPart
import com.google.mlkit.genai.prompt.type.content
import com.google.mlkit.genai.prompt.type.generationConfig
import com.google.mlkit.genai.prompt.type.generateContentRequest
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.flow.collect
import kotlinx.coroutines.flow.fold
import kotlinx.coroutines.suspendCancellableCoroutine
import kotlinx.coroutines.withContext
import kotlin.coroutines.resume
import kotlin.coroutines.resumeWithException
/**
* Gemini Nano backend via ML Kit Prompt API.
@@ -22,10 +21,9 @@ import kotlin.coroutines.resumeWithException
* no manual download or file management needed.
*
* Key advantages:
* - Hardware-accelerated on Tensor G5 TPU (2.6x faster than G4)
* - 32,000 token context window on Pixel 10
* - ~3 GB model always resident in RAM for instant inference
* - Hardware-accelerated on Tensor G5 TPU
* - Fully offline, private — data never leaves the device
* - System-managed model, no manual downloads
*/
class GeminiNanoModel private constructor(
private val generativeModel: GenerativeModel
@@ -43,9 +41,12 @@ class GeminiNanoModel private constructor(
temperature: Float
): String = withContext(Dispatchers.Default) {
try {
val request = content { text(prompt) }
val request = generateContentRequest(TextPart(prompt)) {
this.temperature = temperature
this.topK = 40
}
val response = generativeModel.generateContent(request)
response.text ?: ""
response.candidates.firstOrNull()?.text ?: ""
} catch (e: Exception) {
Log.e(TAG, "Gemini Nano generation error", e)
throw OnDeviceModel.InferenceException("Gemini Nano generation failed: ${e.message}", e)
@@ -57,12 +58,11 @@ class GeminiNanoModel private constructor(
onToken: (String) -> Unit
): String = withContext(Dispatchers.Default) {
try {
val request = content { text(prompt) }
generativeModel.generateContentStream(request)
.fold("") { acc, response ->
val chunk = response.text ?: ""
if (chunk.isNotEmpty()) onToken(chunk)
acc + chunk
generativeModel.generateContentStream(prompt)
.fold("") { acc, chunk ->
val text = chunk.candidates.firstOrNull()?.text ?: ""
if (text.isNotEmpty()) onToken(text)
acc + text
}
} catch (e: Exception) {
Log.e(TAG, "Gemini Nano streaming error", e)
@@ -72,53 +72,60 @@ class GeminiNanoModel private constructor(
override fun close() {
isReady = false
generativeModel.close()
// GenerativeModel from Generation.getClient() is system-managed
}
companion object {
private const val TAG = "GeminiNanoModel"
suspend fun create(context: Context): GeminiNanoModel = withContext(Dispatchers.IO) {
// Check if Gemini Nano is available on this device
val model = GenerativeModel.newBuilder()
.setContext(context)
.build()
val model = Generation.getClient()
// Verify feature is available — will throw if not supported
suspendCancellableCoroutine { continuation ->
model.isAvailable()
.addOnSuccessListener { available ->
if (available) {
continuation.resume(Unit)
} else {
continuation.resumeWithException(
OnDeviceModel.InferenceException(
"Gemini Nano is not available on this device"
)
)
// Check if Gemini Nano is available on this device
val status = model.checkStatus()
when (status) {
FeatureStatus.UNAVAILABLE -> {
throw OnDeviceModel.InferenceException(
"Gemini Nano is not available on this device"
)
}
FeatureStatus.DOWNLOADABLE -> {
Log.i(TAG, "Downloading Gemini Nano model...")
model.download().collect { downloadStatus ->
when (downloadStatus) {
is DownloadStatus.DownloadStarted ->
Log.i(TAG, "Model download started")
is DownloadStatus.DownloadProgress ->
Log.i(TAG, "Download in progress...")
DownloadStatus.DownloadCompleted ->
Log.i(TAG, "Model download completed")
is DownloadStatus.DownloadFailed ->
throw OnDeviceModel.InferenceException("Model download failed")
}
}
.addOnFailureListener { e ->
continuation.resumeWithException(
OnDeviceModel.InferenceException(
"Failed to check Gemini Nano availability: ${e.message}", e
)
)
}
FeatureStatus.DOWNLOADING -> {
Log.i(TAG, "Model already downloading, waiting...")
model.download().collect { downloadStatus ->
if (downloadStatus == DownloadStatus.DownloadCompleted) {
Log.i(TAG, "Download completed")
}
}
}
FeatureStatus.AVAILABLE -> {
Log.i(TAG, "Gemini Nano is available")
}
}
// Trigger model download if needed
suspendCancellableCoroutine { continuation ->
model.downloadModel()
.addOnSuccessListener { continuation.resume(Unit) }
.addOnFailureListener { e ->
Log.w(TAG, "Model download issue (may already be available): ${e.message}")
// Don't fail — model might already be cached
continuation.resume(Unit)
}
// Warm up for lower first-inference latency
try {
model.warmup()
Log.i(TAG, "Model warmup complete")
} catch (e: Exception) {
Log.w(TAG, "Warmup failed (non-fatal): ${e.message}")
}
Log.i(TAG, "Gemini Nano model ready via ML Kit Prompt API")
Log.i(TAG, "Gemini Nano ready via ML Kit Prompt API")
GeminiNanoModel(model)
}
}

34
app/src/main/java/com/pixel10/ai/inference/MediaPipeModel.kt
View File

@@ -4,11 +4,8 @@ import android.content.Context
import android.util.Log
import com.google.mediapipe.tasks.genai.llminference.LlmInference
import kotlinx.coroutines.Dispatchers
import kotlinx.coroutines.suspendCancellableCoroutine
import kotlinx.coroutines.withContext
import java.io.File
import kotlin.coroutines.resume
import kotlin.coroutines.resumeWithException
/**
* MediaPipe LLM Inference backend for custom open-weight models.
@@ -52,23 +49,18 @@ class MediaPipeModel private constructor(
prompt: String,
onToken: (String) -> Unit
): String = withContext(Dispatchers.Default) {
suspendCancellableCoroutine { continuation ->
val fullResponse = StringBuilder()
try {
llmInference.generateResponseAsync(prompt).addResultListener { partialResult, done ->
val chunk = partialResult ?: ""
fullResponse.append(chunk)
onToken(chunk)
if (done) {
continuation.resume(fullResponse.toString())
}
}
} catch (e: Exception) {
Log.e(TAG, "Streaming error", e)
continuation.resumeWithException(
OnDeviceModel.InferenceException("Streaming failed: ${e.message}", e)
)
}
// MediaPipe's streaming API (generateResponseAsync) requires the result
// listener to be set at LlmInference build time via setResultListener().
// Since our architecture needs a dynamic callback per request, we use
// synchronous generation and emit the result as a single chunk.
// For true token-by-token streaming, the Gemini Nano backend is preferred.
try {
val result = llmInference.generateResponse(prompt)
onToken(result)
result
} catch (e: Exception) {
Log.e(TAG, "MediaPipe generation error", e)
throw OnDeviceModel.InferenceException("Generation failed: ${e.message}", e)
}
}
@@ -120,7 +112,6 @@ class MediaPipeModel private constructor(
}
private fun findModelPath(context: Context): String? {
// Search standard locations
val searchDirs = listOfNotNull(
context.filesDir,
File(context.filesDir, "models"),
@@ -137,7 +128,6 @@ class MediaPipeModel private constructor(
return file.absolutePath
}
}
// Also check for any .task or .bin file
dir.listFiles()?.firstOrNull {
it.extension in listOf("task", "bin", "tflite")
}?.let { return it.absolutePath }

13
app/src/main/java/com/pixel10/ai/server/ApiModels.kt
View File

@@ -1,5 +1,7 @@
package com.pixel10.ai.server
import com.google.gson.annotations.SerializedName
/**
* Request/response models for the AI API.
* Follows an OpenAI-compatible schema for easy integration.
@@ -20,6 +22,9 @@ data class Message(
data class ChatResponse(
val id: String,
@SerializedName("object")
val objectType: String = "chat.completion",
val created: Long = System.currentTimeMillis() / 1000,
val model: String = "pixel10-on-device",
val choices: List<Choice>,
val usage: Usage
@@ -39,6 +44,9 @@ data class Usage(
data class StreamChunk(
val id: String,
@SerializedName("object")
val objectType: String = "chat.completion.chunk",
val created: Long = System.currentTimeMillis() / 1000,
val model: String = "pixel10-on-device",
val choices: List<StreamChoice>
)
@@ -56,12 +64,15 @@ data class Delta(
data class ModelInfo(
val id: String = "pixel10-on-device",
val object_type: String = "model",
@SerializedName("object")
val objectType: String = "model",
val owned_by: String = "local-device",
val description: String = "On-device AI model running on Pixel 10 Tensor G5 chip"
)
data class ModelList(
@SerializedName("object")
val objectType: String = "list",
val data: List<ModelInfo> = listOf(ModelInfo())
)

9
app/src/main/java/com/pixel10/ai/ui/MainActivity.kt
View File

@@ -6,6 +6,7 @@ import android.content.Context
import android.content.Intent
import android.content.ServiceConnection
import android.content.pm.PackageManager
import android.graphics.drawable.GradientDrawable
import android.net.wifi.WifiManager
import android.os.Build
import android.os.Bundle
@@ -139,7 +140,7 @@ class MainActivity : AppCompatActivity() {
when (state) {
ApiServerService.ServerState.STOPPED -> {
binding.tvServerStatus.text = getString(R.string.server_status_stopped)
binding.viewStatusDot.setBackgroundColor(getColor(R.color.status_stopped))
(binding.viewStatusDot.background as? GradientDrawable)?.setColor(getColor(R.color.status_stopped))
binding.tvServerUrl.text = "http://—"
binding.tvModelStatus.text = "Model: not loaded"
binding.btnToggle.text = getString(R.string.btn_start)
@@ -148,7 +149,7 @@ class MainActivity : AppCompatActivity() {
}
ApiServerService.ServerState.LOADING_MODEL -> {
binding.tvServerStatus.text = getString(R.string.server_status_starting)
binding.viewStatusDot.setBackgroundColor(getColor(R.color.primary))
(binding.viewStatusDot.background as? GradientDrawable)?.setColor(getColor(R.color.primary))
binding.tvModelStatus.text = getString(R.string.model_loading)
binding.btnToggle.isEnabled = false
binding.etPort.isEnabled = false
@@ -157,7 +158,7 @@ class MainActivity : AppCompatActivity() {
val port = binding.etPort.text.toString()
val ip = getLocalIpAddress()
binding.tvServerStatus.text = getString(R.string.server_status_running)
binding.viewStatusDot.setBackgroundColor(getColor(R.color.status_running))
(binding.viewStatusDot.background as? GradientDrawable)?.setColor(getColor(R.color.status_running))
binding.tvServerUrl.text = "http://$ip:$port"
binding.tvModelStatus.text = getString(R.string.model_ready)
binding.btnToggle.text = getString(R.string.btn_stop)
@@ -166,7 +167,7 @@ class MainActivity : AppCompatActivity() {
}
ApiServerService.ServerState.ERROR -> {
binding.tvServerStatus.text = getString(R.string.server_status_error)
binding.viewStatusDot.setBackgroundColor(getColor(R.color.error))
(binding.viewStatusDot.background as? GradientDrawable)?.setColor(getColor(R.color.error))
binding.tvModelStatus.text = getString(R.string.model_error)
binding.btnToggle.text = getString(R.string.btn_start)
binding.btnToggle.isEnabled = true

BIN
gradle/wrapper/gradle-wrapper.jar vendored Normal file
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Binary file not shown.

137
gradlew vendored Executable file
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@@ -0,0 +1,137 @@
#!/bin/sh
#
# Copyright © 2015-2021 the original authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##############################################################################
#
# Gradle start up script for POSIX generated by Gradle.
#
##############################################################################
# Attempt to set APP_HOME
# Resolve links: $0 may be a link
app_path=$0
while
APP_HOME=${app_path%"${app_path##*/}"} # leaves a trailing /; empty if no leading path
[ -h "$app_path" ]
do
ls=$( ls -ld -- "$app_path" )
link=${ls#*' -> '}
case $link in
/*) app_path=$link ;;
*) app_path=$APP_HOME$link ;;
esac
done
# This is normally unused
# shellcheck disable=SC2034
APP_BASE_NAME=${0##*/}
# Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036)
APP_HOME=$( cd "${APP_HOME:-./}" > /dev/null && pwd -P ) || exit
# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD=maximum
warn () {
echo "$*"
} >&2
die () {
echo
echo "$*"
echo
exit 1
} >&2
# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
nonstop=false
case "$( uname )" in
CYGWIN* ) cygwin=true ;;
Darwin* ) darwin=true ;;
MSYS* | MINGW* ) msys=true ;;
NonStop* ) nonstop=true ;;
esac
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
# Determine the Java command to use to start the JVM.
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD=$JAVA_HOME/jre/sh/java
else
JAVACMD=$JAVA_HOME/bin/java
fi
if [ ! -x "$JAVACMD" ] ; then
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
else
JAVACMD=java
if ! command -v java >/dev/null 2>&1 ; then
die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
fi
# Increase the maximum file descriptors if we can.
if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
case $MAX_FD in
max*)
MAX_FD=$( ulimit -H -n ) ||
warn "Could not query maximum file descriptor limit"
;;
esac
case $MAX_FD in
'' | soft) :;;
*)
ulimit -n "$MAX_FD" ||
warn "Could not set maximum file descriptor limit to $MAX_FD"
;;
esac
fi
# Collect all arguments for the java command, stracks://github.com/gradle/gradle/issues/25036)
# shellcheck disable=SC2153
case $( dirname -- "$0" ) in
'' ) set -- org.gradle.wrapper.GradleWrapperMain "$@" ;;
*) set -- org.gradle.wrapper.GradleWrapperMain "$@" ;;
esac
# Use "xargs" to parse quoted args.
eval "set -- $(
printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
xargs -n1 |
sed ' s~[^-[:alnum:]+,./:=@]~\\&~g; ' |
tr '\n' ' '
)" '"$@"'
exec "$JAVACMD" \
$DEFAULT_JVM_OPTS \
$JAVA_OPTS \
$GRADLE_OPTS \
"-Dorg.gradle.appname=$APP_BASE_NAME" \
-classpath "$CLASSPATH" \
org.gradle.wrapper.GradleWrapperMain \
"$@"

80
gradlew.bat vendored Normal file
View File

@@ -0,0 +1,80 @@
@rem
@rem Copyright 2015 the original author or authors.
@rem
@rem Licensed under the Apache License, Version 2.0 (the "License");
@rem you may not use this file except in compliance with the License.
@rem You may obtain a copy of the License at
@rem
@rem https://www.apache.org/licenses/LICENSE-2.0
@rem
@rem Unless required by applicable law or agreed to in writing, software
@rem distributed under the License is distributed on an "AS IS" BASIS,
@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
@rem See the License for the specific language governing permissions and
@rem limitations under the License.
@rem
@if "%DEBUG%"=="" @echo off
@rem ##########################################################################
@rem
@rem Gradle startup script for Windows
@rem
@rem ##########################################################################
@rem Set local scope for the variables with windows NT shell
if "%OS%"=="Windows_NT" setlocal
set DIRNAME=%~dp0
if "%DIRNAME%"=="" set DIRNAME=.
@rem This is normally unused
set APP_BASE_NAME=%~n0
set APP_HOME=%DIRNAME%
@rem Resolve any "." and ".." in APP_HOME to make it shorter.
for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
@rem Find java.exe
if defined JAVA_HOME goto findJavaFromJavaHome
set JAVA_EXE=java.exe
%JAVA_EXE% -version >NUL 2>&1
if %ERRORLEVEL% equ 0 goto execute
echo. 1>&2
echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH. 1>&2
echo. 1>&2
echo Please set the JAVA_HOME variable in your environment to match the 1>&2
echo location of your Java installation. 1>&2
goto fail
:findJavaFromJavaHome
set JAVA_HOME=%JAVA_HOME:"=%
set JAVA_EXE=%JAVA_HOME%/bin/java.exe
if exist "%JAVA_EXE%" goto execute
echo. 1>&2
echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME% 1>&2
echo. 1>&2
echo Please set the JAVA_HOME variable in your environment to match the 1>&2
echo location of your Java installation. 1>&2
goto fail
:execute
@rem Setup the command line
set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
@rem Execute Gradle
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
:end
@rem End local scope for the variables with windows NT shell
if %OS%==Windows_NT endlocal
:omega

2
settings.gradle.kts
View File

@@ -6,7 +6,7 @@ pluginManagement {
}
}
dependencyResolution {
dependencyResolutionManagement {
repositories {
google()
mavenCentral()