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Merge branch 'release/1.2.4'
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‎README.md

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@@ -43,7 +43,7 @@ LangGraph for Java. A library for building stateful, multi-agents applications w
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| Date | Release | info
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|--------------|----------------| ---
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| Jan 13, 2025 | `1.2.3` | official release
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| Jan 22, 2025 | `1.2.4` | official release
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## Samples
@@ -73,7 +73,7 @@ LangGraph for Java. A library for building stateful, multi-agents applications w
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<dependency>
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<groupId>org.bsc.langgraph4j</groupId>
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<artifactId>langgraph4j-core</artifactId>
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<version>1.2.3</version>
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<version>1.2.4</version>
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</dependency>
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```
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‎agent-executor/pom.xml

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@@ -4,7 +4,7 @@
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<parent>
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<groupId>org.bsc.langgraph4j</groupId>
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<artifactId>langgraph4j-parent</artifactId>
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<version>1.2.3</version>
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<version>1.2.4</version>
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<relativePath>..</relativePath>
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</parent>
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‎core/pom.xml

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@@ -5,7 +5,7 @@
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<parent>
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<groupId>org.bsc.langgraph4j</groupId>
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<artifactId>langgraph4j-parent</artifactId>
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<version>1.2.3</version>
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<version>1.2.4</version>
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</parent>
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<artifactId>langgraph4j-core</artifactId>
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<dependency>
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<groupId>org.bsc.async</groupId>
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<artifactId>async-generator-jdk8</artifactId>
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<version>2.3.0</version>
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<artifactId>async-generator</artifactId>
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<version>3.0.0</version>
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</dependency>
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<dependency>

‎core/src/site/markdown/concepts/low_level.md

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@@ -62,7 +62,7 @@ If no [`Channel`] is specified for an item then it is assumed that all updates t
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```java
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static class MessagesState extends AgentState {
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static Map<String, Channel<?>> SCHEMA = mapOf(
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static Map<String, Channel<?>> SCHEMA = Map.of(
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"messages", AppenderChannel.<String>of(ArrayList::new)
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);
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}
@@ -80,7 +80,7 @@ You can also specify a custom reducer for a particular state property
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```java
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static class MyState extends AgentState {
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static Map<String, Channel<?>> SCHEMA = mapOf(
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static Map<String, Channel<?>> SCHEMA = Map.of(
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"property", Channel.<String>of( ( oldValue, newValue ) -> newValue.toUpperCase() )
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);
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}
@@ -134,7 +134,6 @@ In LangGraph4j, nodes are typically a **Functional Interface** ([`AsyncNodeActio
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```java
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import static org.bsc.langgraph4j.action.AsyncEdgeAction.edge_async;
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import static org.bsc.langgraph4j.action.AsyncNodeAction.node_async;
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import static org.bsc.langgraph4j.utils.CollectionsUtils.mapOf;
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public class State extends AgentState {
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@@ -149,7 +148,7 @@ public class State extends AgentState {
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150149
AsyncNodeAction<State> myNode = node_async(state -> {
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System.out.println( "In myNode: " );
152-
return mapOf( results: "Hello " + state.input().orElse( "" ) );
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return Map.of( results: "Hello " + state.input().orElse( "" ) );
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});
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AsyncNodeAction<State> myOtherNode = node_async(state -> state);
@@ -215,9 +214,7 @@ graph.addEdge("nodeA", "nodeB");
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If you want to **optionally** route to 1 or more edges (or optionally terminate), you can use the [`addConditionalEdges`] method. This method accepts the name of a node and a **Functional Interface** ([`AsyncEdgeAction`]) that will be used as " routing function" to call after that node is executed:
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```java
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import static org.bsc.langgraph4j.utils.CollectionsUtils.mapOf;
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graph.addConditionalEdges("nodeA", routingFunction, mapOf( "first": "nodeB", "second": "nodeC" ) );
217+
graph.addConditionalEdges("nodeA", routingFunction, Map.of( "first": "nodeB", "second": "nodeC" ) );
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```
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Similar to nodes, the `routingFunction` accept the current `state` of the graph and return a string value.
@@ -245,7 +242,7 @@ A conditional entry point lets you start at different nodes depending on custom
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import static org.bsc.langgraph4j.StateGraph.START;
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import static org.bsc.langgraph4j.utils.CollectionsUtils.mapOf;
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graph.addConditionalEdges(START, routingFunction, mapOf( "first": "nodeB", "second": "nodeC" ) );
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graph.addConditionalEdges(START, routingFunction, Map.of( "first": "nodeB", "second": "nodeC" ) );
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```
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You must provide an object that maps the `routingFunction`'s output to the name of the next node.
@@ -285,7 +282,7 @@ You must pass these when invoking the graph as part of the configurable part of
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```java
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RunnableConfig config = RunnableConfig.builder()
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var config = RunnableConfig.builder()
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.threadId("a")
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.build();
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graph.invoke(inputs, config);

‎how-tos/llm-streaming.ipynb

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{
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Adding dependency \u001b[0m\u001b[1m\u001b[32morg.slf4j:slf4j-jdk14:2.0.9\n",
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"\u001b[0mAdding dependency \u001b[0m\u001b[1m\u001b[32morg.bsc.langgraph4j:langgraph4j-core:1.2-SNAPSHOT\n",
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"\u001b[0mAdding dependency \u001b[0m\u001b[1m\u001b[32morg.bsc.langgraph4j:langgraph4j-langchain4j:1.2-SNAPSHOT\n",
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"\u001b[0mAdding dependency \u001b[0m\u001b[1m\u001b[32mdev.langchain4j:langchain4j:0.36.2\n",
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"\u001b[0mAdding dependency \u001b[0m\u001b[1m\u001b[32mdev.langchain4j:langchain4j-open-ai:0.36.2\n",
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"\u001b[0mSolving dependencies\n",
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"Resolved artifacts count: 26\n",
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"Add to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/slf4j/slf4j-jdk14/2.0.9/slf4j-jdk14-2.0.9.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/slf4j/slf4j-api/2.0.9/slf4j-api-2.0.9.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/bsc/langgraph4j/langgraph4j-core/1.2-SNAPSHOT/langgraph4j-core-1.2-SNAPSHOT.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/bsc/async/async-generator/3.0-SNAPSHOT/async-generator-3.0-SNAPSHOT.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/bsc/langgraph4j/langgraph4j-langchain4j/1.2-SNAPSHOT/langgraph4j-langchain4j-1.2-SNAPSHOT.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/dev/langchain4j/langchain4j/0.36.2/langchain4j-0.36.2.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/dev/langchain4j/langchain4j-core/0.36.2/langchain4j-core-0.36.2.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/google/code/gson/gson/2.10.1/gson-2.10.1.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/apache/opennlp/opennlp-tools/1.9.4/opennlp-tools-1.9.4.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/dev/langchain4j/langchain4j-open-ai/0.36.2/langchain4j-open-ai-0.36.2.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/dev/ai4j/openai4j/0.23.0/openai4j-0.23.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/squareup/retrofit2/retrofit/2.9.0/retrofit-2.9.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/squareup/retrofit2/converter-jackson/2.9.0/converter-jackson-2.9.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/fasterxml/jackson/core/jackson-databind/2.17.2/jackson-databind-2.17.2.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/fasterxml/jackson/core/jackson-annotations/2.17.2/jackson-annotations-2.17.2.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/fasterxml/jackson/core/jackson-core/2.17.2/jackson-core-2.17.2.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/squareup/okhttp3/okhttp/4.12.0/okhttp-4.12.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/squareup/okio/okio/3.6.0/okio-3.6.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/squareup/okio/okio-jvm/3.6.0/okio-jvm-3.6.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/jetbrains/kotlin/kotlin-stdlib-common/1.9.10/kotlin-stdlib-common-1.9.10.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/squareup/okhttp3/okhttp-sse/4.12.0/okhttp-sse-4.12.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/jetbrains/kotlin/kotlin-stdlib-jdk8/1.9.25/kotlin-stdlib-jdk8-1.9.25.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/jetbrains/kotlin/kotlin-stdlib/1.9.25/kotlin-stdlib-1.9.25.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/jetbrains/annotations/13.0/annotations-13.0.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/org/jetbrains/kotlin/kotlin-stdlib-jdk7/1.9.25/kotlin-stdlib-jdk7-1.9.25.jar\u001b[0m\n",
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"\u001b[0mAdd to classpath: \u001b[0m\u001b[32m/Users/bsorrentino/Library/Jupyter/kernels/rapaio-jupyter-kernel/mima_cache/com/knuddels/jtokkit/1.1.0/jtokkit-1.1.0.jar\u001b[0m\n",
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"\u001b[0m"
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]
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}
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],
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"source": [
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"%dependency /add org.slf4j:slf4j-jdk14:2.0.9\n",
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"%dependency /add org.bsc.langgraph4j:langgraph4j-core:\\{langgraph4jVersion}\n",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"StreamingOutput{chunk=} \n",
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"StreamingOutput{chunk=Why} \n",
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"StreamingOutput{chunk= did} \n",
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"StreamingOutput{chunk= the} \n",
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"StreamingOutput{chunk= scare} \n",
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"StreamingOutput{chunk=crow} \n",
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"StreamingOutput{chunk= win} \n",
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"StreamingOutput{chunk= an} \n",
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"StreamingOutput{chunk= award} \n",
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"StreamingOutput{chunk=?\n",
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"\n",
168+
"} \n",
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"StreamingOutput{chunk=Because} \n",
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"StreamingOutput{chunk= he} \n",
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"StreamingOutput{chunk= was} \n",
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"StreamingOutput{chunk= outstanding} \n",
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"StreamingOutput{chunk= in} \n",
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"StreamingOutput{chunk= his} \n",
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"StreamingOutput{chunk= field} \n",
176+
"StreamingOutput{chunk=!} \n",
177+
"RESULT: {content=AiMessage { text = \"Why did the scarecrow win an award?\n",
178+
"\n",
179+
"Because he was outstanding in his field!\" toolExecutionRequests = null }} \n"
180+
]
181+
}
182+
],
112183
"source": [
113184
"import dev.langchain4j.model.StreamingResponseHandler;\n",
114185
"import dev.langchain4j.model.chat.StreamingChatLanguageModel;\n",
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},
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{
204275
"cell_type": "code",
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"execution_count": null,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"SerializerMapper: \n",
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"java.util.Map\n",
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"java.util.Collection\n",
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"dev.langchain4j.agent.tool.ToolExecutionRequest\n",
286+
"dev.langchain4j.data.message.ChatMessage"
287+
]
288+
},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
292+
}
293+
],
208294
"source": [
209295
"import dev.langchain4j.data.message.AiMessage;\n",
210296
"import dev.langchain4j.data.message.SystemMessage;\n",
@@ -367,7 +453,7 @@
367453
},
368454
{
369455
"cell_type": "code",
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"execution_count": 15,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
373459
{
@@ -377,17 +463,17 @@
377463
"START \n",
378464
"CallModel:\n",
379465
"[UserMessage { name = null contents = [TextContent { text = \"what is the whether today?\" }] }] \n",
380-
"MapResult: Response { content = AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }, tokenUsage = TokenUsage { inputTokenCount = 71, outputTokenCount = 15, totalTokenCount = 86 }, finishReason = TOOL_EXECUTION, metadata = {} } \n",
466+
"MapResult: Response { content = AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_YszBAtYhA4nlonJG9BFogPkC\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }, tokenUsage = TokenUsage { inputTokenCount = 71, outputTokenCount = 15, totalTokenCount = 86 }, finishReason = TOOL_EXECUTION, metadata = {} } \n",
381467
"routeMessage:\n",
382-
"[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }] \n",
468+
"[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_YszBAtYhA4nlonJG9BFogPkC\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }] \n",
383469
"NodeOutput{node=__START__, state={messages=[UserMessage { name = null contents = [TextContent { text = \"what is the whether today?\" }] }]}} \n",
384470
"invokeTool:\n",
385-
"[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }] \n",
471+
"[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_YszBAtYhA4nlonJG9BFogPkC\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }] \n",
386472
"execute: execQuery \n",
387-
"NodeOutput{node=agent, state={messages=[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }]}} \n",
473+
"NodeOutput{node=agent, state={messages=[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_YszBAtYhA4nlonJG9BFogPkC\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }]}} \n",
388474
"CallModel:\n",
389-
"[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }, ToolExecutionResultMessage { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\" toolName = \"execQuery\" text = \"Cold, with a low of 13 degrees\" }] \n",
390-
"NodeOutput{node=tools, state={messages=[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }, ToolExecutionResultMessage { id = \"call_ycvEnAG6NCrreo0WqSoxS5jJ\" toolName = \"execQuery\" text = \"Cold, with a low of 13 degrees\" }]}} \n",
475+
"[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_YszBAtYhA4nlonJG9BFogPkC\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }, ToolExecutionResultMessage { id = \"call_YszBAtYhA4nlonJG9BFogPkC\" toolName = \"execQuery\" text = \"Cold, with a low of 13 degrees\" }] \n",
476+
"NodeOutput{node=tools, state={messages=[AiMessage { text = null toolExecutionRequests = [ToolExecutionRequest { id = \"call_YszBAtYhA4nlonJG9BFogPkC\", name = \"execQuery\", arguments = \"{\"query\":\"current weather\"}\" }] }, ToolExecutionResultMessage { id = \"call_YszBAtYhA4nlonJG9BFogPkC\" toolName = \"execQuery\" text = \"Cold, with a low of 13 degrees\" }]}} \n",
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"StreamingOutput{node=agent, chunk= } \n",
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"StreamingOutput{node=agent, chunk=The } \n",
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"StreamingOutput{node=agent, chunk= current } \n",
@@ -419,8 +505,8 @@
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"StreamingOutput{node=agent, chunk= feel } \n",
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"StreamingOutput{node=agent, chunk= free } \n",
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"StreamingOutput{node=agent, chunk= to } \n",
422-
"StreamingOutput{node=agent, chunk= ask } \n",
423508
"MapResult: Response { content = AiMessage { text = \"The current weather is cold, with a low of 13 degrees. If you need more specific information or details about a particular location, feel free to ask!\" toolExecutionRequests = null }, tokenUsage = TokenUsage { inputTokenCount = 93, outputTokenCount = 33, totalTokenCount = 126 }, finishReason = STOP, metadata = {} } \n",
509+
"StreamingOutput{node=agent, chunk= ask } \n",
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"routeMessage:\n",
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"[AiMessage { text = \"The current weather is cold, with a low of 13 degrees. If you need more specific information or details about a particular location, feel free to ask!\" toolExecutionRequests = null }] \n",
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"StreamingOutput{node=agent, chunk=! } \n",

‎how-tos/pom.xml

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<parent>
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<artifactId>langgraph4j-howtos</artifactId>

‎langchain4j/pom.xml

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‎pom.xml

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<name>langgraph4j::parent</name>

‎samples/adaptive-rag/pom.xml

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‎samples/image-to-diagram/pom.xml

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<relativePath>../..</relativePath>
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