diff --git a/packages/core/test/provider-openai-compatible.test.ts b/packages/core/test/provider-openai-compatible.test.ts
new file mode 100644
index 000000000000..62a98e06a86b
--- /dev/null
+++ b/packages/core/test/provider-openai-compatible.test.ts
@@ -0,0 +1,139 @@
+import { createOpenAICompatible } from "@ai-sdk/openai-compatible"
+import { expect, test } from "bun:test"
+
+test("openai-compatible synthesizes missing tool-call IDs while streaming", async () => {
+  const chunks = [
+    {
+      id: "response-1",
+      created: 0,
+      model: "zai-glm-5-2",
+      object: "chat.completion.chunk",
+      choices: [
+        {
+          index: 0,
+          delta: {
+            tool_calls: [
+              {
+                index: 0,
+                function: { name: "bash", arguments: '{"command":"ls' },
+              },
+            ],
+          },
+        },
+      ],
+    },
+    {
+      id: "response-1",
+      created: 0,
+      model: "zai-glm-5-2",
+      object: "chat.completion.chunk",
+      choices: [
+        {
+          index: 0,
+          delta: {
+            tool_calls: [
+              {
+                index: 0,
+                function: { name: "", arguments: ' -l"}' },
+              },
+            ],
+          },
+        },
+      ],
+    },
+    {
+      id: "response-1",
+      created: 0,
+      model: "zai-glm-5-2",
+      object: "chat.completion.chunk",
+      choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+      usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
+    },
+  ]
+  const mockFetch = Object.assign(
+    async () =>
+      new Response(chunks.map((chunk) => `data: ${JSON.stringify(chunk)}\n\n`).join(""), {
+        headers: { "Content-Type": "text/event-stream" },
+      }),
+    { preconnect: fetch.preconnect },
+  )
+  const provider = createOpenAICompatible({
+    apiKey: "test",
+    baseURL: "https://api.mistral.ai/v1",
+    name: "mistral",
+    fetch: mockFetch,
+  })
+  const model = provider("zai-glm-5-2")
+  const result = await model.doStream({
+    prompt: [{ role: "user", content: [{ type: "text", text: "list files" }] }],
+  })
+  const events = []
+  for await (const event of result.stream) events.push(event)
+
+  const toolInputStart = events.find((event) => event.type === "tool-input-start")
+  const toolCall = events.find((event) => event.type === "tool-call")
+  const errors = events.filter((event) => event.type === "error")
+
+  expect(errors).toEqual([])
+  expect(toolInputStart).toBeDefined()
+  expect(toolCall).toBeDefined()
+  expect(typeof toolInputStart?.id).toBe("string")
+  expect(toolCall?.toolCallId).toBe(toolInputStart?.id)
+  expect(toolCall?.toolName).toBe("bash")
+  expect(JSON.parse(toolCall?.input ?? "{}")).toEqual({ command: "ls -l" })
+})
+
+test("openai-compatible uses provided tool-call IDs while streaming", async () => {
+  const chunks = [
+    {
+      id: "response-1",
+      created: 0,
+      model: "test-model",
+      object: "chat.completion.chunk",
+      choices: [
+        {
+          index: 0,
+          delta: {
+            tool_calls: [
+              {
+                id: "call_abc123",
+                index: 0,
+                function: { name: "bash", arguments: '{"command":"ls"}' },
+              },
+            ],
+          },
+        },
+      ],
+    },
+    {
+      id: "response-1",
+      created: 0,
+      model: "test-model",
+      object: "chat.completion.chunk",
+      choices: [{ index: 0, delta: {}, finish_reason: "stop" }],
+      usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
+    },
+  ]
+  const mockFetch = Object.assign(
+    async () =>
+      new Response(chunks.map((chunk) => `data: ${JSON.stringify(chunk)}\n\n`).join(""), {
+        headers: { "Content-Type": "text/event-stream" },
+      }),
+    { preconnect: fetch.preconnect },
+  )
+  const provider = createOpenAICompatible({
+    apiKey: "test",
+    baseURL: "https://example.com/v1",
+    name: "test",
+    fetch: mockFetch,
+  })
+  const model = provider("test-model")
+  const result = await model.doStream({
+    prompt: [{ role: "user", content: [{ type: "text", text: "list files" }] }],
+  })
+  const events = []
+  for await (const event of result.stream) events.push(event)
+
+  const toolCall = events.find((event) => event.type === "tool-call")
+  expect(toolCall?.toolCallId).toBe("call_abc123")
+})
diff --git a/patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch b/patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch
index 9f03ec95732a..3b69bbf28073 100644
--- a/patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch
+++ b/patches/@ai-sdk%2Fopenai-compatible@2.0.41.patch
@@ -1,8 +1,8 @@
 diff --git a/dist/index.js b/dist/index.js
-index dca128d3a790378c51a24a16d92585178343b278..da75f9d64acd2b607abd15079ce2d03b7a8d675a 100644
+index dca128d3a790378c51a24a16d92585178343b278..5b92d5b308eb26b9209f90a162c74a737a537623 100644
 --- a/dist/index.js
 +++ b/dist/index.js
-@@ -696,7 +696,7 @@ var OpenAICompatibleChatLanguageModel = class {
+@@ -696,7 +696,7 @@
                finishReason = { unified: "error", raw: void 0 };
                controller.enqueue({
                  type: "error",
@@ -11,11 +11,39 @@ index dca128d3a790378c51a24a16d92585178343b278..da75f9d64acd2b607abd15079ce2d03b
                });
                return;
              }
+@@ -766,12 +766,7 @@
+               for (const toolCallDelta of delta.tool_calls) {
+                 const index = (_c = toolCallDelta.index) != null ? _c : toolCalls.length;
+                 if (toolCalls[index] == null) {
+-                  if (toolCallDelta.id == null) {
+-                    throw new import_provider3.InvalidResponseDataError({
+-                      data: toolCallDelta,
+-                      message: `Expected 'id' to be a string.`
+-                    });
+-                  }
++                  const toolCallId = (_c = toolCallDelta.id) != null ? _c : (0, import_provider_utils2.generateId)();
+                   if (((_d = toolCallDelta.function) == null ? void 0 : _d.name) == null) {
+                     throw new import_provider3.InvalidResponseDataError({
+                       data: toolCallDelta,
+@@ -780,11 +775,11 @@
+                   }
+                   controller.enqueue({
+                     type: "tool-input-start",
+-                    id: toolCallDelta.id,
++                    id: toolCallId,
+                     toolName: toolCallDelta.function.name
+                   });
+                   toolCalls[index] = {
+-                    id: toolCallDelta.id,
++                    id: toolCallId,
+                     type: "function",
+                     function: {
+                       name: toolCallDelta.function.name,
 diff --git a/dist/index.mjs b/dist/index.mjs
-index 3b1e1b6bdec5032e3b4fa5ffbcc8cdf3dfe1cc40..eaffc446f80552ea0b26573b89daa4dfc7776e6e 100644
+index 3b1e1b6bdec5032e3b4fa5ffbcc8cdf3dfe1cc40..0c55b7352d67129814b783f25cb779417fe826af 100644
 --- a/dist/index.mjs
 +++ b/dist/index.mjs
-@@ -683,7 +683,7 @@ var OpenAICompatibleChatLanguageModel = class {
+@@ -683,7 +683,7 @@
                finishReason = { unified: "error", raw: void 0 };
                controller.enqueue({
                  type: "error",
@@ -24,11 +52,39 @@ index 3b1e1b6bdec5032e3b4fa5ffbcc8cdf3dfe1cc40..eaffc446f80552ea0b26573b89daa4df
                });
                return;
              }
+@@ -753,12 +753,7 @@
+               for (const toolCallDelta of delta.tool_calls) {
+                 const index = (_c = toolCallDelta.index) != null ? _c : toolCalls.length;
+                 if (toolCalls[index] == null) {
+-                  if (toolCallDelta.id == null) {
+-                    throw new InvalidResponseDataError({
+-                      data: toolCallDelta,
+-                      message: `Expected 'id' to be a string.`
+-                    });
+-                  }
++                  const toolCallId = (_c = toolCallDelta.id) != null ? _c : generateId();
+                   if (((_d = toolCallDelta.function) == null ? void 0 : _d.name) == null) {
+                     throw new InvalidResponseDataError({
+                       data: toolCallDelta,
+@@ -767,11 +762,11 @@
+                   }
+                   controller.enqueue({
+                     type: "tool-input-start",
+-                    id: toolCallDelta.id,
++                    id: toolCallId,
+                     toolName: toolCallDelta.function.name
+                   });
+                   toolCalls[index] = {
+-                    id: toolCallDelta.id,
++                    id: toolCallId,
+                     type: "function",
+                     function: {
+                       name: toolCallDelta.function.name,
 diff --git a/src/chat/openai-compatible-chat-language-model.ts b/src/chat/openai-compatible-chat-language-model.ts
-index 8c622db23c2d9a7373701f5a1b0c2ba109e24602..643c3db68a6043e097edc1122e0eb53fd13495c5 100644
+index 8c622db23c2d9a7373701f5a1b0c2ba109e24602..58ee6eb913399bef344422fd5cda69c1e0ded65a 100644
 --- a/src/chat/openai-compatible-chat-language-model.ts
 +++ b/src/chat/openai-compatible-chat-language-model.ts
-@@ -442,7 +442,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV3 {
+@@ -442,7 +442,7 @@
                finishReason = { unified: 'error', raw: undefined };
                controller.enqueue({
                  type: 'error',
@@ -37,3 +93,32 @@ index 8c622db23c2d9a7373701f5a1b0c2ba109e24602..643c3db68a6043e097edc1122e0eb53f
                });
                return;
              }
+@@ -533,12 +533,7 @@
+                 const index = toolCallDelta.index ?? toolCalls.length;
+ 
+                 if (toolCalls[index] == null) {
+-                  if (toolCallDelta.id == null) {
+-                    throw new InvalidResponseDataError({
+-                      data: toolCallDelta,
+-                      message: `Expected 'id' to be a string.`,
+-                    });
+-                  }
++                  const toolCallId = toolCallDelta.id ?? generateId();
+ 
+                   if (toolCallDelta.function?.name == null) {
+                     throw new InvalidResponseDataError({
+@@ -549,12 +544,12 @@
+ 
+                   controller.enqueue({
+                     type: 'tool-input-start',
+-                    id: toolCallDelta.id,
++                    id: toolCallId,
+                     toolName: toolCallDelta.function.name,
+                   });
+ 
+                   toolCalls[index] = {
+-                    id: toolCallDelta.id,
++                    id: toolCallId,
+                     type: 'function',
+                     function: {
+                       name: toolCallDelta.function.name,