JetBrains/koog 1.0.0

on GitHub

This is the first stable release of Koog. The 1.0 line establishes a long-term-supported surface across the framework: modules are split into stable and beta streams so production code can pin to APIs that won't break without a deprecation cycle, every previously deprecated API has been removed, and the graph DSL's node names are finalized. Alongside that, 1.0 lands a redesigned Java interop layer, decouples HTTP transport from Ktor, brings OpenTelemetry to Kotlin Multiplatform, and adds Anthropic prompt caching.

Major Features

Stable / Beta module split

• Modules now ship under two streams — stable and beta — so production code can pin to APIs that won't break without a deprecation cycle (#2011, #2000).
• All previously @Deprecated APIs have been removed across event handlers, pipeline, agent/strategy/DSL, tools, persistence, executors, MCP, models, Spring autoconfig, and RAG utilities. The 1.0 line carries no deprecated surface (#2001).

Java interop, redesigned

• Uniform blocking API: All Java-facing entry points follow one pattern — xxxBlocking in Kotlin, plain xxx from Java. Explicit ExecutorService / Executor parameters are gone; the agent's configured dispatcher is used instead (#2005).
• Deadlock-free reentrant calls: Kotlin → Java → Kotlin call chains on a single-threaded executor no longer deadlock — the reentrant dispatch is detected and skipped (#1945, KG-750).

Graph DSL, finalized

• The String-input nodes (nodeLLMRequest, nodeLLMRequestOnlyCallingTools, nodeLLMRequestWithoutTools, nodeLLMRequestForceOneTool, nodeLLMRequestMultipleChoices, nodeLLMRequestStreaming, nodeLLMRequestStructured) keep their original names; the Message.User-input variants now use a nodeLLMSendMessage* prefix.
• nodeExecuteTools returns ReceivedToolResults directly — connect it to nodeLLMSendMessage / nodeLLMSendToolResults* instead of relying on the old auto-writeback behavior.
• New nodeLLMModerateText(name, moderatingModel, includeCurrentPrompt) accepts plain String input alongside the existing nodeLLMModerateMessage(Message.User) (#2035).

Memory and persistence

• AIAgentStorage in checkpoints: Custom key-value data is now saved and restored alongside agent checkpoints; a new runFromCheckpoint API restores execution without requiring the Persistence feature (#1998, #1828).
• Persistence for planner agents: Planner-based agents now support checkpoint/restore (#1786, KG-673).
• Amazon Bedrock AgentCore as LongTermMemory: Managed vector-memory backend on Bedrock (#1855, KG-603).
• LongTermMemory reliability: Storage errors no longer silently swallowed — new FailurePolicy plus a fix for double-ingestion during active sessions. Feature promoted from experimental (#1963).

HTTP transport, decoupled from Ktor

• Pluggable HTTP factory: LLM clients now take a KoogHttpClient.Factory instead of a Ktor HttpClient. A Ktor-backed default is auto-discovered on JVM/Android; users can plug in Java's HTTP client, OkHttp, or Spring's RestClient without touching Koog internals (#2006, #1948, KG-821, KG-818).
• Ollama on KoogHttpClient: Ollama now routes streaming, headers, and endpoint config through the same abstraction as every other provider (#1993, KG-833).

OpenTelemetry on every target

• Multiplatform OpenTelemetry: Langfuse, Weave, and DataDog now run on every Koog target via a Ktor-based OTLP/JSON exporter, not just JVM (#1942, KG-785). Please note: the WasmJS target is not included for now (please see KG-846 for more details).
• Built-in metrics: Agents emit standard gen_ai.client.token.usage, gen_ai.client.operation.duration, and a custom gen_ai.client.tool.count metric — plug straight into existing Prometheus/Grafana stacks (#1381, KG-136).

Anthropic prompt caching

• Automatic and explicit cache control: End-to-end caching support — automatic on requests, explicit breakpoints on messages, cache tokens in usage metrics. Cuts cost and latency for agents that re-send long system prompts (#1812, KG-707).

New providers

• LiteRT LLM client: New client for running Google's LiteRT models locally (#1980).
• Oracle Database ChatHistoryProvider for Oracle-standardized deployments (#1851, KG-772).

Improvements

• New models: Anthropic Opus 4.7 (#1861), OpenAI GPT-5.5 and GPT-5.5 Pro (#1913), DeepSeek V4 Flash and Pro (#1914), additional Bedrock models — Kimi K 2.5, MiniMax 2.5, Gemma 3, GPT OSS (#1902), and Ollama gpt-oss / qwen3.5 (#1292).
• ToolCallMetadata side channel: Tools can now receive per-call context (trace IDs, correlation IDs, feature flags, the live AIAgentContext) without polluting their LLM-visible argument schema. Features can contribute metadata via AIAgentPipeline.provideToolCallMetadata, with caller-supplied values winning on key collision (#1886, #1777).
• Planners moved to a dedicated module: GOAPPlanner and SimpleLLMPlanner now live in a separate agents:agents-planners module, and a simpler AIAgentPlannerStrategy.create(name, planner) factory replaces the old builder. Agents that don't use planning no longer pay the dependency cost (#1997).
• MCP SDK upgrade with Streamable HTTP: MCP kotlin-sdk upgraded from 0.8.1 to 0.11.1; Streamable HTTP is now the primary transport for both MCP client and server (#1870, KG-792, KG-756, KG-755, KG-49).
• RetrieveFactsFromHistory extracted from AgentMemory: This HistoryCompressionStrategy now lives outside the AgentMemory feature so it can be used independently. The old AgentMemory feature is removed in favor of the more capable LongTermMemory (#1927).
• OpenTelemetry GenAI semantic conventions update: Aligned with the latest spec — content is carried via gen_ai.input.messages / gen_ai.output.messages attributes instead of deprecated per-message events; moderation results moved to a Koog custom attribute koog.moderation.result (#1967, KG-826).
• KoogClock migration: Internal time APIs now use a KoogClock abstraction instead of kotlin.time.Clock, enabling virtual-time testing and consistent clock behavior across platforms (#1925).
• Minimum Java version raised to 17: Aligns the runtime requirement with documentation and modern toolchain expectations (#1931).
• Factory functions replace invoke constructors: AIAgent, AIAgentService, ToolRegistry, RollbackToolRegistry, and AIAgentPlannerStrategy now use top-level factory functions. Usage syntax (A(...)) is unchanged for normal callers (#1882).
• Agent pipeline cleanup: Pipeline event contexts now expose the AIAgent instance directly instead of separate agentId / config fields; parameter order is harmonized across pipeline interfaces (#1991, KG-807).

Bug Fixes

Highlights below — see the 1.0.0-preview entry for the full per-PR list.

• Streaming hardening across providers (#1844, #1775, #1887, #1237, #1888, KG-811, #1884, #1878, #2012, #1978, #1868, #1865, #1866, #1369, KG-626): Ollama (Flow invariant is violated from cross-dispatcher emission, text/plain JSON responses, tool-call-before-text ordering), OpenAI (additional_properties leak under JsonNamingStrategy.SnakeCase, decode failures wrapped in LLMClientException, keepalive frames honored), Google (reasoning vs. plain text in streaming), and OpenRouter (tool calls during streaming) all now behave consistently end-to-end.
• Error propagation through the pipeline (#1918, KG-815, #1548, KG-704, #2037, KG-845, #2024, KG-844): Pipeline failure hooks now receive the original Throwable instead of a stringified AIAgentError — fixes a latent error.type mislabel in OpenTelemetry spans, and reflective tool failures surface the real exception message instead of "Unknown error". LLMCallFailedContext.eventType now reports LLMCallFailed (was LLMCallStarting); LLMCallFailedEvent / LLMStreaming / SubgraphExecution are registered for remote event serialization.
• OpenTelemetry stability (#1435, KG-675, #1969, KG-808, #1547, KG-703, #1856, #1850): Failed LLM requests no longer crash the feature — failures are signaled via span ERROR status and error.type. SpanAdapter.onBeforeSpanFinished now runs on fully populated spans, so Langfuse and Weave adapters see the same data the SDK exports. Langfuse trace-level attributes (langfuse.environment, etc.) are set on every span, not just invoke_agent. The hardcoded JVM shutdown hook is gone — opt in via setShutdownOnAgentClose (default false).
• Persistence & subgraph correctness (#2044, #1971, #2039): Persistence.runFromCheckpoint skips tools that are no longer registered instead of throwing. subgraphWithTask / subtask no longer drop tool results when the finish tool is called alongside other tools. PromptAugmenter implementations (SystemPromptAugmenter, UserPromptAugmenter, AgentcorePromptAugmenter) append a new MessagePart to the existing Message after the Message / MessagePart refactor.
• Tool / concurrency / security (#1883, #1881, #1871, #1965): @Tool(customName = ...) is honored in ToolSet.asTools(). withPrompt uses a write lock (was read lock — could race with concurrent prompt mutations). Anthropic API key is masked in Spring Boot autoconfiguration logs (security fix).

Breaking Changes

The 1.0 release is the stable baseline. Highlights below — for the full per-API list (constructor signatures, parameter renames, removed members), see the 1.0.0-preview entry.

• All @Deprecated APIs removed (#2001): no deprecated members survive into 1.0. Includes a typo-spelling fix Persistency* → Persistence* across the storage providers (update imports). Old AIAgentPipeline / AIAgentPipelineImpl are gone — use AIAgentPipelineAPI / AIAgentGraphPipeline / AIAgentPlannerPipeline. Retired models: AnthropicModels.Haiku_3, BedrockModels.AnthropicClaude3Haiku, and deprecated Google / DeepSeek entries. Companion invoke constructors for AIAgent, AIAgentService, ToolRegistry, RollbackToolRegistry, AIAgentPlannerStrategy are also gone (#1882) — normal A(...) syntax is unchanged.
• Graph DSL node renames (#2035): String-input nodes are nodeLLMRequest* / nodeLLMModerate*; Message.User-input variants are nodeLLMSendMessage* / nodeLLMSendToolResults*. nodeExecuteTools now returns ReceivedToolResults directly (previously nodeExecuteToolsAndGetResults); the old auto-writeback nodeExecuteTools is removed.
• Java blocking API redesign (#2005): uniform xxxBlocking in Kotlin, plain xxx from Java via @JvmName, so most Java source code requires no changes. ExecutorService / Executor parameters are removed from blocking wrappers — the agent's own dispatcher is used instead (also drops SubtaskBuilder.withExecutorService() and the executorService property). Renames cover AIAgent.javaNonSuspendRun → runBlocking, FeatureMessageProcessor.javaNonSuspend* → *Blocking, AIAgentService / PromptExecutor / LLMClient Java overloads → *Blocking, NonSuspendAIAgentStrategy → AIAgentStrategyBlocking, NonSuspendAIAgentFunctionalStrategy → AIAgentFunctionalStrategyBlocking.
• HTTP transport decoupled from Ktor (#2006): LLM client constructors and PromptExecutor.builder().{openAI, anthropic, google, deepseek, mistral, ollama, openRouter, dashscope}(...) no longer accept a Ktor HttpClient — pass a KoogHttpClient.Factory instead, or omit for the auto-discovered default. prompt-executor-llms-all no longer leaks Ktor types transitively (depend on http-client-ktor directly if you used KtorKoogHttpClient). Java synthetic class SimplePromptExecutorsKt is renamed to SimplePromptExecutors. KoogHttpClient implementations must implement the new lines() method for non-SSE line streaming and accept per-request headers parameters (#1993, KG-833); OllamaClient.baseUrl property removed — endpoint configuration is delegated to the supplied KoogHttpClient.
• OpenTelemetry Multiplatform migration (#1942, KG-785, #1967, KG-826): addSpanExporter, addMetricExporter, addMetricFilter are now JVM-only extensions on OpenTelemetryConfigJvm (JVM users must update imports). addResourceAttributes signature changes from io.opentelemetry.api.common.Attributes to Map<String, Any>. The SpanEndStatus wrapper is removed — use StatusData directly. The ai.koog.agents.features.opentelemetry.event package and all event APIs on GenAIAgentSpan (events, addEvent, addEvents, removeEvent) are removed; the gen_ai.system attribute and moderation.result span event are no longer emitted.
• Planners moved to a new module (#1997): GOAP and LLM-based planner usage requires an explicit agents:agents-planners dependency. AIAgentPlanner and JavaAIAgentPlanner gain two abstract methods (initializeState, provideOutput); AIAgentPlannerStrategy.builder() / .goap() are removed in favor of AIAgentPlannerStrategy(name, planner) / .create(name, planner).
• Memory & persistence API changes: AgentMemory feature removed — use LongTermMemory instead; RetrieveFactsFromHistory moved out of agents-features-memory (#1927). LongTermMemory renames: QueryExtractor → SearchQueryProvider, ExtractionStrategy → DocumentExtractor, IngestionTiming removed (#1963). AIAgentStorage: AIAgentStorageKey equality is now name-based; no-arg constructor replaced by AIAgentStorage(serializer); toMap() removed (use toSerializedMap() / putAll(other)); runFromCheckpoint's agentInput renamed to input (#1998). AgentCheckpointData fields nodePath, lastInput, lastOutput removed — they now live inside properties: JSONObject (#1786).
• Prompt class moved out of dsl (#2022): ai.koog.prompt.dsl.Prompt → ai.koog.prompt.Prompt. The prompt { ... } DSL builder stays in ai.koog.prompt.dsl — only the type import changes.
• KoogClock replaces kotlin.time.Clock (#1925) in all APIs that previously took a Clock parameter.
• Anthropic prompt caching: deprecated user message builders removed to make room for the cacheControl variant (#1812).
• Minimum Java version: 17 (#1931).
• Dependency ABI cleanup (#2007): oshai.kotlin.logging no longer in :prompt-executor-clients public API (consumers must add their own implementation(libs.oshai.kotlin.logging)); oshai-logging upgraded 7.0.7 → 8.0.01; ktor.server.sse no longer transitively exposed by :agents-features-tokenizer / :agents-features-trace; android.useAndroidX=true is now required.