subochev
9e5d61707d
Replace EchoProtoAgent / EchoAgent / EchoA2aHandler placeholders with a real
stateful agent on top of SQLite (SQLDelight 2.3.2) and litert-api v6.
persistence (commonMain):
- ConversationStore / MessageStore / WorkingMemoryStore — three narrow
interfaces, all operations suspend, AutoCloseable.
- MessageRecord sealed: UserMessage / AssistantMessage (Body subtype),
ToolCall / ToolResult (audit-only), Summary / System (working-memory-only
synthetic). Snake-case @SerialName discriminators.
- WorkingMemoryEntry sealed: System / User(sourceMessageId) /
Assistant(sourceMessageId); sourceMessageId is null for System.
- Two-table dual-log model: append-only message audit + mutable
working_memory with monotonic order_idx.
SQLite (jvmMain):
- SQLDelight schema + SqliteConversationStore / SqliteMessageStore /
SqliteWorkingMemoryStore under src/jvmMain/sqldelight/.
- SqliteStores.open(path) / inMemory(); Schema.create gated on
sqlite_master probe for idempotency.
- All payload_json is the MessageRecord encoded as JSON; subtype-specific
fields avoid migrations.
agent (jvmMain):
- ChatAgent — stateful proto.Agent with live in-memory cache, lock-protected,
AgentEvent bus (Created/Deleted).
- ChatConversation — long-lived LiteConversation handle; created lazily on
first send from working_memory (system + initial messages), reused across
all subsequent turns (REQUIRED for litert-google KV-cache).
- Per turn: append User to audit + WM → sendStreamContents (wrapped in
transformWhile for litert-google-jvm 0.16.1 isDone workaround) → emit
AppendText deltas → append Assistant to audit + WM + touch conversation.
- isClosed flag so getConversation reconstructs after close.
llm (jvmMain):
- LlmConfig data class with LlmBackend enum (OPENAI / GOOGLE); fromEnv
parses AGENTIK_LLM_BACKEND and dispatches to backend-specific config.
- OpenAI: litert-openai, OpenAI-compatible endpoint, validated
baseUrl/apiKey/model.
- Google: litert-google (reflection-resolved pw.binom.litert.google
factory) on top of litertlm-jvm 0.16.1 native engine;
visionBackend/audioBackend = null (LiteRT-LM 0.16.1 binds encoder
graph even with null backend, but a model lacking encoder crashes;
null is the correct "don't bind" signal).
- foldSystemIntoFirstUser (default true for GOOGLE) folds system prompt
into the first user message to avoid chat template alternation issues.
build:
- Add sqldelight plugin + runtime + sqlite-driver + coroutines-extensions
to gradle/libs.versions.toml.
- litert-openai: implementation; litert-google: runtimeOnly (resolved via
reflection at runtime).
- KMP jvm executable via @OptIn(ExperimentalKotlinGradlePluginApi) +
jvm { binaries { executable { mainClass.set("...MainKt") } } }.
tests (jvmTest): 30 passing
- PersistenceTest (11): conversation upsert/list/cascade-delete/rename/
touch; message audit append/list; working-memory order preservation;
image-content payload roundtrip.
- ChatAgentTest (14): system-prompt seeding; persistent vs temp
persistence across SqliteStores reopen; multi-turn audit + WM growth;
interrupt of in-flight slow send; agentEvents Created/Deleted flow;
closed-conv reconstruct via getConversation.
- LlmConfigTest (6): env happy path, defaults, missing fields throw.
smoke tested e2e:
- openai backend against real llm.binom.pw/v1 (myopenai/local/codding)
— multi-turn dialogue persisted, kill -9 + restart survives.
- google backend against gemma-4-E2B-it.litertlm — multi-turn
("Hello there!" → "2 + 2 = 4"), KV-cache survives across turns,
SSE start→append_text*→end cleanly closes.
docs/STANDALONE.md updated for v1 architecture, dual-backend env table,
long-lived LiteConversation invariant, and litert-google-jvm 0.16.1
isDone-stream workaround.
85 lines
2.6 KiB
Kotlin
85 lines
2.6 KiB
Kotlin
@file:OptIn(org.jetbrains.kotlin.gradle.ExperimentalKotlinGradlePluginApi::class)
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import org.jetbrains.kotlin.gradle.ExperimentalKotlinGradlePluginApi
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import org.jetbrains.kotlin.gradle.targets.jvm.KotlinJvmTarget
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plugins {
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alias(libs.plugins.kotlin.multiplatform)
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alias(libs.plugins.kotlin.serialization)
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alias(libs.plugins.sqldelight)
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}
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kotlin {
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jvmToolchain(21)
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jvm {
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binaries {
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executable {
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mainClass.set("pw.binom.agentik.standalone.MainKt")
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}
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}
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}
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sourceSets {
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commonMain.dependencies {
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implementation(project(":proto"))
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implementation(project(":server"))
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// Commons
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implementation(libs.kotlinx.coroutines.core)
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implementation(libs.kotlinx.serialization.json)
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implementation(libs.kotlinx.datetime)
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// litert-kmp: контракт (commonMain)
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api(libs.litert.api)
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// SQLDelight runtime (commonMain)
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api(libs.sqldelight.runtime)
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api(libs.sqldelight.coroutines)
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}
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jvmMain.dependencies {
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// litert-openai: JVM-реализация
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implementation(libs.litert.openai)
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// litert-google: встроенный LiteRT-LM движок, нужен только на runtime
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runtimeOnly(libs.litert.google)
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// SQLDelight JDBC driver (JVM)
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implementation(libs.sqldelight.sqlite.driver)
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// Ktor server (для :server facade + a2aServer)
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implementation(libs.ktor.server.core)
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implementation(libs.ktor.server.sse)
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implementation(libs.ktor.server.netty)
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implementation(libs.ktor.server.content.negotiation)
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implementation(libs.ktor.serialization.kotlinx.json)
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// Транспортные фасады
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implementation(libs.agui.server)
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implementation(libs.a2a.server)
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}
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commonTest.dependencies {
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implementation(libs.kotlinx.coroutines.core)
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implementation(libs.kotlin.test)
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}
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jvmTest.dependencies {
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implementation(libs.kotlinx.coroutines.core)
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implementation(libs.kotlinx.serialization.json)
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implementation(libs.kotlin.test)
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// Ktor test engine для smoke-тестов HTTP
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implementation(libs.ktor.server.test.host)
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}
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}
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}
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sqldelight {
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databases {
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create("AgentikDatabase") {
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packageName.set("pw.binom.agentik.standalone.persistence.sqlite")
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srcDirs.setFrom("src/jvmMain/sqldelight")
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}
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}
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}
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