diff --git a/integrations/langgraph/typescript/src/agent.ts b/integrations/langgraph/typescript/src/agent.ts
index 02b2e374b7..47c7cb5672 100644
--- a/integrations/langgraph/typescript/src/agent.ts
+++ b/integrations/langgraph/typescript/src/agent.ts
@@ -1354,7 +1354,7 @@ export class LangGraphAgent extends AbstractAgent {
             predictStateTool.tool === toolCallData?.name,
         );
 
-        const isToolCallStartEvent = !hasCurrentStream && toolCallData?.name;
+        let isToolCallStartEvent = !hasCurrentStream && toolCallData?.name;
         const isToolCallArgsEvent =
           hasCurrentStream && currentStream?.toolCallId && toolCallData?.args;
         const isToolCallEndEvent =
@@ -1443,7 +1443,14 @@ export class LangGraphAgent extends AbstractAgent {
           if (resolved) {
             this.messagesInProcess[this.activeRun!.id] = null;
           }
-          break;
+          // The chunk that ends streamed text can also open a tool call: Anthropic
+          // streams the `tool_use` block of a message right after its text block.
+          // Fall through to the tool-call start below instead of dropping the call
+          // and every argument chunk that follows it (the Python adapter already
+          // handles this transition).
+          if (!toolCallData?.name) break;
+          isToolCallStartEvent = true;
+          this.activeRun!.hasFunctionStreaming = true;
         }
 
         if (isToolCallStartEvent && shouldEmitToolCalls) {
diff --git a/integrations/langgraph/typescript/src/text-then-tool-call.test.ts b/integrations/langgraph/typescript/src/text-then-tool-call.test.ts
new file mode 100644
index 0000000000..2cfe396b20
--- /dev/null
+++ b/integrations/langgraph/typescript/src/text-then-tool-call.test.ts
@@ -0,0 +1,108 @@
+import { EventType } from "@ag-ui/client";
+import { describe, expect, it } from "vitest";
+
+import { LangGraphAgent } from "./agent";
+
+function createAgent() {
+  const agent = new LangGraphAgent({
+    graphId: "test-graph",
+    deploymentUrl: "http://localhost:8000",
+  });
+  const events: any[] = [];
+  (agent as any).subscriber = { next: (e: any) => events.push(e) };
+  (agent as any).activeRun = {
+    id: "run-1",
+    threadId: "thread-1",
+    hasFunctionStreaming: false,
+  };
+  (agent as any).messagesInProcess = {};
+  (agent as any).emittedToolCallStartIds = new Set();
+  return { agent, events };
+}
+
+function streamChunk(content: unknown[], toolCallChunks: unknown[] = []) {
+  return {
+    event: "on_chat_model_stream",
+    metadata: { "emit-messages": true, "emit-tool-calls": true },
+    data: {
+      chunk: {
+        id: "msg-1",
+        content,
+        tool_call_chunks: toolCallChunks,
+        response_metadata: {},
+      },
+    },
+  };
+}
+
+describe("LangGraphAgent text followed by a tool call in one message", () => {
+  it("starts the tool call carried by the chunk that ends the streamed text", () => {
+    const { agent, events } = createAgent();
+
+    // Anthropic content-block streaming: a text block, then a tool_use block
+    // with empty args, then input_json_delta chunks, then the end chunk.
+    const chunks = [
+      streamChunk([
+        { type: "text", text: "Building the dashboard.", index: 0 },
+      ]),
+      streamChunk(
+        [
+          {
+            type: "tool_use",
+            id: "call-1",
+            name: "render_ui",
+            input: {},
+            index: 1,
+          },
+        ],
+        [
+          {
+            name: "render_ui",
+            args: "",
+            id: "call-1",
+            index: 1,
+            type: "tool_call_chunk",
+          },
+        ],
+      ),
+      streamChunk(
+        [
+          {
+            type: "input_json_delta",
+            partial_json: '{"surfaceId":"x"}',
+            index: 1,
+          },
+        ],
+        [
+          {
+            name: null,
+            args: '{"surfaceId":"x"}',
+            id: null,
+            index: 1,
+            type: "tool_call_chunk",
+          },
+        ],
+      ),
+      streamChunk([]),
+    ];
+    for (const chunk of chunks) agent.handleSingleEvent(chunk);
+
+    expect(events.map((e) => e.type)).toEqual([
+      EventType.TEXT_MESSAGE_START,
+      EventType.TEXT_MESSAGE_CONTENT,
+      EventType.TEXT_MESSAGE_END,
+      EventType.TOOL_CALL_START,
+      EventType.TOOL_CALL_ARGS,
+      EventType.TOOL_CALL_END,
+    ]);
+    expect(events[3]).toMatchObject({
+      toolCallId: "call-1",
+      toolCallName: "render_ui",
+    });
+    expect(events[4]).toMatchObject({
+      toolCallId: "call-1",
+      delta: '{"surfaceId":"x"}',
+    });
+    expect((agent as any).activeRun.hasFunctionStreaming).toBe(true);
+  });
+});