diff --git a/packages/openai-adapters/src/apis/OpenAI.ts b/packages/openai-adapters/src/apis/OpenAI.ts
index 3f750110c3d..b19efd05707 100644
--- a/packages/openai-adapters/src/apis/OpenAI.ts
+++ b/packages/openai-adapters/src/apis/OpenAI.ts
@@ -168,11 +168,27 @@ export class OpenAIApi implements BaseLlmApi {
     );
     let lastChunkWithUsage: ChatCompletionChunk | undefined;
     for await (const result of response) {
-      // Check if this chunk contains usage information
-      if (result.usage) {
+      // Defer usage-only chunks so usage is reported after all content.
+      // Some servers (e.g. llama.cpp with incremental usage) attach a running
+      // `usage` object to EVERY chunk. Withholding on `usage` alone would then
+      // swallow the entire stream, so only defer chunks that carry no payload.
+      // Check every choice, not just the first: with `n > 1` an empty
+      // choices[0] alongside a content-bearing choices[1] would otherwise
+      // classify the chunk as usage-only and drop the other choice's payload.
+      const isUsageOnly =
+        !!result.usage &&
+        (result.choices ?? []).every(
+          (choice) =>
+            !choice?.finish_reason &&
+            Object.keys(choice?.delta ?? {}).length === 0,
+        );
+      if (isUsageOnly) {
         // Store it to emit after all content chunks
         lastChunkWithUsage = result;
       } else {
+        if (result.usage) {
+          lastChunkWithUsage = undefined;
+        }
         yield result;
       }
     }
diff --git a/packages/openai-adapters/src/apis/OpenAIStreamUsage.test.ts b/packages/openai-adapters/src/apis/OpenAIStreamUsage.test.ts
new file mode 100644
index 00000000000..6d09c0fb58a
--- /dev/null
+++ b/packages/openai-adapters/src/apis/OpenAIStreamUsage.test.ts
@@ -0,0 +1,198 @@
+import { ChatCompletionChunk } from "openai/resources/index";
+import { describe, expect, it, vi } from "vitest";
+
+import { OpenAIApi } from "./OpenAI.js";
+
+/**
+ * Regression tests for streaming chunks that carry `usage`.
+ *
+ * The adapter defers usage chunks so that usage is reported after content.
+ * OpenAI sends usage exactly once, in a terminal chunk with empty `choices`.
+ * llama.cpp-based servers can instead attach a *running* usage object to every
+ * chunk; deferring on the presence of `usage` alone swallowed those streams
+ * entirely, producing empty assistant messages.
+ */
+
+function chunk(
+  delta: Record<string, unknown>,
+  usage?: { completion_tokens: number },
+  finish_reason: string | null = null,
+): ChatCompletionChunk {
+  return {
+    id: "chatcmpl-test",
+    object: "chat.completion.chunk",
+    created: 0,
+    model: "test-model",
+    choices: [{ index: 0, delta, finish_reason }],
+    ...(usage
+      ? {
+          usage: {
+            prompt_tokens: 10,
+            total_tokens: 10 + usage.completion_tokens,
+            ...usage,
+          },
+        }
+      : {}),
+  } as unknown as ChatCompletionChunk;
+}
+
+/** Multi-choice chunk, for `n > 1` requests. */
+function multiChoiceChunk(
+  deltas: Record<string, unknown>[],
+  usage?: { completion_tokens: number },
+): ChatCompletionChunk {
+  return {
+    id: "chatcmpl-test",
+    object: "chat.completion.chunk",
+    created: 0,
+    model: "test-model",
+    choices: deltas.map((delta, index) => ({
+      index,
+      delta,
+      finish_reason: null,
+    })),
+    ...(usage
+      ? {
+          usage: {
+            prompt_tokens: 10,
+            total_tokens: 10 + usage.completion_tokens,
+            ...usage,
+          },
+        }
+      : {}),
+  } as unknown as ChatCompletionChunk;
+}
+
+function apiYielding(chunks: ChatCompletionChunk[]) {
+  const api = new OpenAIApi({
+    provider: "openai",
+    apiKey: "test-key",
+    apiBase: "http://custom:8080/v1/",
+  });
+  vi.spyOn(api["openai"].chat.completions, "create").mockResolvedValue({
+    async *[Symbol.asyncIterator]() {
+      for (const c of chunks) {
+        yield c;
+      }
+    },
+  } as any);
+  return api;
+}
+
+async function collect(api: OpenAIApi, body: any) {
+  const out: ChatCompletionChunk[] = [];
+  for await (const c of api.chatCompletionStream(
+    body,
+    new AbortController().signal,
+  )) {
+    out.push(c);
+  }
+  return out;
+}
+
+const body = {
+  model: "test-model",
+  messages: [{ role: "user" as const, content: "hi" }],
+  stream: true as const,
+};
+
+describe("chatCompletionStream usage handling", () => {
+  it("preserves content when every chunk carries a running usage object", async () => {
+    // Shape observed from the local orchestrator: usage increments per token.
+    const api = apiYielding([
+      chunk({ role: "assistant", content: null }, { completion_tokens: 1 }),
+      chunk({ reasoning_content: "think" }, { completion_tokens: 2 }),
+      chunk({ content: "Hello" }, { completion_tokens: 3 }),
+      chunk({ content: " world" }, { completion_tokens: 4 }),
+      chunk({}, { completion_tokens: 5 }, "stop"),
+    ]);
+
+    const out = await collect(api, body);
+
+    const text = out
+      .map((c) => (c.choices?.[0]?.delta as any)?.content ?? "")
+      .join("");
+    expect(text).toBe("Hello world");
+
+    const reasoning = out
+      .map((c) => (c.choices?.[0]?.delta as any)?.reasoning_content ?? "")
+      .join("");
+    expect(reasoning).toBe("think");
+
+    // Nothing is dropped, and the finish_reason chunk still arrives.
+    expect(out).toHaveLength(5);
+    expect(out.at(-1)?.choices?.[0]?.finish_reason).toBe("stop");
+  });
+
+  it("still defers a terminal usage-only chunk to the end", async () => {
+    // OpenAI shape with stream_options.include_usage: usage arrives alone.
+    const api = apiYielding([
+      chunk({ content: "Hello" }),
+      chunk({ content: " world" }),
+      {
+        id: "chatcmpl-test",
+        object: "chat.completion.chunk",
+        created: 0,
+        model: "test-model",
+        choices: [],
+        usage: { prompt_tokens: 10, completion_tokens: 2, total_tokens: 12 },
+      } as unknown as ChatCompletionChunk,
+    ]);
+
+    const out = await collect(api, body);
+
+    expect(out).toHaveLength(3);
+    expect(out.at(-1)?.usage?.completion_tokens).toBe(2);
+    expect(
+      out
+        .slice(0, 2)
+        .map((c) => (c.choices?.[0]?.delta as any)?.content)
+        .join(""),
+    ).toBe("Hello world");
+  });
+
+  it("does not emit a duplicate trailing chunk when usage rides on content", async () => {
+    const api = apiYielding([
+      // Leading usage-only chunk, so a deferred chunk actually exists to be
+      // cleared. Without it this test passes even if clearing is broken.
+      chunk({}, { completion_tokens: 0 }),
+      chunk({ content: "A" }, { completion_tokens: 1 }),
+      chunk({ content: "B" }, { completion_tokens: 2 }, "stop"),
+    ]);
+
+    const out = await collect(api, body);
+
+    expect(out).toHaveLength(2);
+    expect(
+      out.map((c) => (c.choices?.[0]?.delta as any)?.content).join(""),
+    ).toBe("AB");
+  });
+
+  it("does not defer a chunk when a later choice carries content (n > 1)", async () => {
+    const api = apiYielding([
+      // choices[0] is empty but choices[1] has content: inspecting only the
+      // first choice would classify this as usage-only and drop "B".
+      multiChoiceChunk([{}, { content: "B" }], { completion_tokens: 1 }),
+      chunk({ content: "A" }, { completion_tokens: 2 }, "stop"),
+    ]);
+
+    const out = await collect(api, body);
+
+    expect(out).toHaveLength(2);
+    expect((out[0].choices?.[1]?.delta as any)?.content).toBe("B");
+  });
+
+  it("still defers a chunk when every choice is empty (n > 1)", async () => {
+    const api = apiYielding([
+      chunk({ content: "A" }, undefined, "stop"),
+      multiChoiceChunk([{}, {}], { completion_tokens: 3 }),
+    ]);
+
+    const out = await collect(api, body);
+
+    // The usage-only chunk is deferred, then emitted last.
+    expect(out).toHaveLength(2);
+    expect((out[0].choices?.[0]?.delta as any)?.content).toBe("A");
+    expect(out[1].usage?.completion_tokens).toBe(3);
+  });
+});