From eb25e55215f0cbde8bacf2da7db60cec1b763fe0 Mon Sep 17 00:00:00 2001
From: Lars Grammel <lars.grammel@gmail.com>
Date: Tue, 3 Sep 2024 10:20:34 +0200
Subject: [PATCH 01/11] feat (docs): improve useObject error handling docs
 (#2879)

---
 .../05-ai-sdk-ui/08-object-generation.mdx     | 98 ++++++++++++++++++-
 .../07-reference/ai-sdk-ui/03-use-object.mdx  |  2 +-
 2 files changed, 97 insertions(+), 3 deletions(-)

diff --git a/content/docs/05-ai-sdk-ui/08-object-generation.mdx b/content/docs/05-ai-sdk-ui/08-object-generation.mdx
index 98dd5472f6c8..c197a10fba06 100644
--- a/content/docs/05-ai-sdk-ui/08-object-generation.mdx
+++ b/content/docs/05-ai-sdk-ui/08-object-generation.mdx
@@ -53,7 +53,7 @@ export default function Page() {
   });
 
   return (
-    <div>
+    <>
       <button onClick={() => submit('Messages during finals week.')}>
         Generate notifications
       </button>
@@ -64,7 +64,7 @@ export default function Page() {
           <p>{notification?.message}</p>
         </div>
       ))}
-    </div>
+    </>
   );
 }
 ```
@@ -95,6 +95,100 @@ export async function POST(req: Request) {
 }
 ```
 
+## Customized UI
+
+`useObject` also provides ways to show loading and error states:
+
+### Loading State
+
+The `isLoading` state returned by the `useObject` hook can be used for several
+purposes
+
+- To show a loading spinner while the object is generated.
+- To show a "Stop" button to abort the current message.
+- To disable the submit button.
+
+```tsx filename='app/page.tsx' highlight="6,13-20,24"
+'use client';
+
+import { useObject } from 'ai/react';
+
+export default function Page() {
+  const { isLoading, stop, object, submit } = useObject({
+    api: '/api/notifications',
+    schema: notificationSchema,
+  });
+
+  return (
+    <>
+      {isLoading && (
+        <div>
+          <Spinner />
+          <button type="button" onClick={() => stop()}>
+            Stop
+          </button>
+        </div>
+      )}
+
+      <button
+        onClick={() => submit('Messages during finals week.')}
+        disabled={isLoading}
+      >
+        Generate notifications
+      </button>
+
+      {object?.notifications?.map((notification, index) => (
+        <div key={index}>
+          <p>{notification?.name}</p>
+          <p>{notification?.message}</p>
+        </div>
+      ))}
+    </>
+  );
+}
+```
+
+### Error State
+
+Similarly, the `error` state reflects the error object thrown during the fetch request.
+It can be used to display an error message, or to disable the submit button:
+
+<Note>
+  We recommend showing a generic error message to the user, such as "Something
+  went wrong." This is a good practice to avoid leaking information from the
+  server.
+</Note>
+
+```tsx file="app/page.tsx" highlight="6,13"
+'use client';
+
+import { useObject } from 'ai/react';
+
+export default function Page() {
+  const { error, object, submit } = useObject({
+    api: '/api/notifications',
+    schema: notificationSchema,
+  });
+
+  return (
+    <>
+      {error && <div>An error occurred.</div>}
+
+      <button onClick={() => submit('Messages during finals week.')}>
+        Generate notifications
+      </button>
+
+      {object?.notifications?.map((notification, index) => (
+        <div key={index}>
+          <p>{notification?.name}</p>
+          <p>{notification?.message}</p>
+        </div>
+      ))}
+    </>
+  );
+}
+```
+
 ## Event Callbacks
 
 `useObject` provides optional event callbacks that you can use to handle life-cycle events.
diff --git a/content/docs/07-reference/ai-sdk-ui/03-use-object.mdx b/content/docs/07-reference/ai-sdk-ui/03-use-object.mdx
index 6d1303da8700..133902a04bd2 100644
--- a/content/docs/07-reference/ai-sdk-ui/03-use-object.mdx
+++ b/content/docs/07-reference/ai-sdk-ui/03-use-object.mdx
@@ -126,7 +126,7 @@ export default function Page() {
     },
     {
       name: 'error',
-      type: 'undefined | unknown',
+      type: 'Error | unknown',
       description: 'The error object if the API call fails.',
     },
     {

From 28cbf2edcf987a7479e4c01fb1d8f705d51d422a Mon Sep 17 00:00:00 2001
From: Lars Grammel <lars.grammel@gmail.com>
Date: Tue, 3 Sep 2024 12:11:11 +0200
Subject: [PATCH 02/11] fix (provider/openai): support tool call delta when
 arguments are sent in the first chunk (#2883)

Co-authored-by: minpeter <minpeter@friendli.ai>
---
 .changeset/real-beers-bake.md                 |   5 +
 .../src/openai-chat-language-model.test.ts    | 128 ++++++++++++++++++
 .../openai/src/openai-chat-language-model.ts  |  43 +++---
 3 files changed, 156 insertions(+), 20 deletions(-)
 create mode 100644 .changeset/real-beers-bake.md

diff --git a/.changeset/real-beers-bake.md b/.changeset/real-beers-bake.md
new file mode 100644
index 000000000000..231d2beb5f3f
--- /dev/null
+++ b/.changeset/real-beers-bake.md
@@ -0,0 +1,5 @@
+---
+'@ai-sdk/openai': patch
+---
+
+fix (provider/openai): support tool call deltas when arguments are sent in the first chunk
diff --git a/packages/openai/src/openai-chat-language-model.test.ts b/packages/openai/src/openai-chat-language-model.test.ts
index 306091bb7ffa..d1f991ff1a03 100644
--- a/packages/openai/src/openai-chat-language-model.test.ts
+++ b/packages/openai/src/openai-chat-language-model.test.ts
@@ -999,6 +999,134 @@ describe('doStream', () => {
     ]);
   });
 
+  it('should stream tool call deltas when tool call arguments are passed in the first chunk', async () => {
+    server.responseChunks = [
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"role":"assistant","content":null,` +
+        `"tool_calls":[{"index":0,"id":"call_O17Uplv4lJvD6DVdIvFFeRMw","type":"function","function":{"name":"test-tool","arguments":"{\\""}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"va"}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"lue"}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\\":\\""}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"Spark"}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"le"}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":" Day"}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\\"}"}}]},` +
+        `"logprobs":null,"finish_reason":null}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"tool_calls"}]}\n\n`,
+      `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
+        `"system_fingerprint":"fp_3bc1b5746c","choices":[],"usage":{"prompt_tokens":53,"completion_tokens":17,"total_tokens":70}}\n\n`,
+      'data: [DONE]\n\n',
+    ];
+
+    const { stream } = await model.doStream({
+      inputFormat: 'prompt',
+      mode: {
+        type: 'regular',
+        tools: [
+          {
+            type: 'function',
+            name: 'test-tool',
+            parameters: {
+              type: 'object',
+              properties: { value: { type: 'string' } },
+              required: ['value'],
+              additionalProperties: false,
+              $schema: 'http://json-schema.org/draft-07/schema#',
+            },
+          },
+        ],
+      },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: '{"',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: 'va',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: 'lue',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: '":"',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: 'Spark',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: 'le',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: ' Day',
+      },
+      {
+        type: 'tool-call-delta',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        argsTextDelta: '"}',
+      },
+      {
+        type: 'tool-call',
+        toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
+        toolCallType: 'function',
+        toolName: 'test-tool',
+        args: '{"value":"Sparkle Day"}',
+      },
+      {
+        type: 'finish',
+        finishReason: 'tool-calls',
+        logprobs: undefined,
+        usage: { promptTokens: 53, completionTokens: 17 },
+      },
+    ]);
+  });
+
   it('should stream tool call that is sent in one chunk', async () => {
     server.responseChunks = [
       `data: {"id":"chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP","object":"chat.completion.chunk","created":1711357598,"model":"gpt-3.5-turbo-0125",` +
diff --git a/packages/openai/src/openai-chat-language-model.ts b/packages/openai/src/openai-chat-language-model.ts
index e3531225b350..2ec098b46299 100644
--- a/packages/openai/src/openai-chat-language-model.ts
+++ b/packages/openai/src/openai-chat-language-model.ts
@@ -453,29 +453,32 @@ export class OpenAIChatLanguageModel implements LanguageModelV1 {
 
                   const toolCall = toolCalls[index];
 
-                  // check if tool call is complete (some providers send the full tool call in one chunk)
                   if (
                     toolCall.function?.name != null &&
-                    toolCall.function?.arguments != null &&
-                    isParsableJson(toolCall.function.arguments)
+                    toolCall.function?.arguments != null
                   ) {
-                    // send delta
-                    controller.enqueue({
-                      type: 'tool-call-delta',
-                      toolCallType: 'function',
-                      toolCallId: toolCall.id,
-                      toolName: toolCall.function.name,
-                      argsTextDelta: toolCall.function.arguments,
-                    });
-
-                    // send tool call
-                    controller.enqueue({
-                      type: 'tool-call',
-                      toolCallType: 'function',
-                      toolCallId: toolCall.id ?? generateId(),
-                      toolName: toolCall.function.name,
-                      args: toolCall.function.arguments,
-                    });
+                    // send delta if the argument text has already started:
+                    if (toolCall.function.arguments.length > 0) {
+                      controller.enqueue({
+                        type: 'tool-call-delta',
+                        toolCallType: 'function',
+                        toolCallId: toolCall.id,
+                        toolName: toolCall.function.name,
+                        argsTextDelta: toolCall.function.arguments,
+                      });
+                    }
+
+                    // check if tool call is complete
+                    // (some providers send the full tool call in one chunk):
+                    if (isParsableJson(toolCall.function.arguments)) {
+                      controller.enqueue({
+                        type: 'tool-call',
+                        toolCallType: 'function',
+                        toolCallId: toolCall.id ?? generateId(),
+                        toolName: toolCall.function.name,
+                        args: toolCall.function.arguments,
+                      });
+                    }
                   }
 
                   continue;

From b26eb367b4aa304a3fadf7f05bf587da453e4682 Mon Sep 17 00:00:00 2001
From: Nico Albanese <49612682+nicoalbanese@users.noreply.github.com>
Date: Tue, 3 Sep 2024 11:11:26 +0100
Subject: [PATCH 03/11] docs: add note to rag guide and troubleshooting page
 for maxToolRoundTrips (#2880)

---
 content/docs/02-guides/01-rag-chatbot.mdx     |  5 +++
 .../10-use-chat-tools-no-response.mdx         | 34 +++++++++++++++++++
 .../03-common-issues/index.mdx                |  1 +
 3 files changed, 40 insertions(+)
 create mode 100644 content/docs/08-troubleshooting/03-common-issues/10-use-chat-tools-no-response.mdx

diff --git a/content/docs/02-guides/01-rag-chatbot.mdx b/content/docs/02-guides/01-rag-chatbot.mdx
index b7076bd40271..c9d37d8f062f 100644
--- a/content/docs/02-guides/01-rag-chatbot.mdx
+++ b/content/docs/02-guides/01-rag-chatbot.mdx
@@ -532,6 +532,11 @@ export async function POST(req: Request) {
 }
 ```
 
+<Note>
+  Remember to pass the incoming messages through the `convertToCoreMessages`
+  function.
+</Note>
+
 In this code, you define a tool called `addResource`. This tool has three elements:
 
 - **description**: description of the tool that will influence when the tool is picked.
diff --git a/content/docs/08-troubleshooting/03-common-issues/10-use-chat-tools-no-response.mdx b/content/docs/08-troubleshooting/03-common-issues/10-use-chat-tools-no-response.mdx
new file mode 100644
index 000000000000..8c0567467e15
--- /dev/null
+++ b/content/docs/08-troubleshooting/03-common-issues/10-use-chat-tools-no-response.mdx
@@ -0,0 +1,34 @@
+---
+title: useChat No Response with maxToolsRoundtrips
+description: Troubleshooting errors related to the Use Chat Failed to Parse Stream error.
+---
+
+# `useChat` No Response with maxToolsRoundtrips
+
+## Issue
+
+I am using [`useChat`](/docs/reference/ai-sdk-ui/use-chat) with [`maxToolRoundtrips`](/docs/reference/ai-sdk-ui/use-chat#max-tool-roundtrips). When I log the incoming messages on the server, I can see the tool call and the tool result, but the model does not respond with anything.
+
+## Background
+
+The `useChat` hook uses a message structure (`Message`) that pre-dates the AI SDK Core message structure (`CoreMessage`).
+
+## Solution
+
+To resolve this issue, convert the incoming messages to the `CoreMessage` format using the [`convertToCoreMessages`](/docs/reference/ai-sdk-ui/convert-to-core-messages) function.
+
+```tsx highlight="9"
+import { openai } from '@ai-sdk/openai';
+import { convertToCoreMessages, streamText } from 'ai';
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+
+  const result = await streamText({
+    model: openai('gpt-4o'),
+    messages: convertToCoreMessages(messages),
+  });
+
+  return result.toDataStreamResponse();
+}
+```
diff --git a/content/docs/08-troubleshooting/03-common-issues/index.mdx b/content/docs/08-troubleshooting/03-common-issues/index.mdx
index ddaf6d2bc82f..181d034fc8c5 100644
--- a/content/docs/08-troubleshooting/03-common-issues/index.mdx
+++ b/content/docs/08-troubleshooting/03-common-issues/index.mdx
@@ -17,3 +17,4 @@ description: Troubleshooting information for common issues encountered with the
 - [ useChat Failed to Parse Stream ](/docs/troubleshooting/common-issues/use-chat-failed-to-parse-stream)
 - [ NaN token counts when using streamText with OpenAI models](/docs/troubleshooting/common-issues/nan-token-counts-openai-streaming)
 - [ Model is not assignable to type "LanguageModelV1" ](/docs/troubleshooting/common-issues/model-is-not-assignable-to-type)
+- [ useChat no response with `maxToolRoundTrips` ](/docs/troubleshooting/common-issues/use-chat-tools-no-response)

From f0cf50f067e47b7681d39079422e2038197d6c47 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Tue, 3 Sep 2024 12:43:09 +0200
Subject: [PATCH 04/11] Version Packages (#2884)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
---
 .changeset/real-beers-bake.md |   5 -
 packages/azure/CHANGELOG.md   |   7 +
 packages/azure/package.json   |   4 +-
 packages/openai/CHANGELOG.md  |   6 +
 packages/openai/package.json  |   2 +-
 pnpm-lock.yaml                | 243 +---------------------------------
 6 files changed, 18 insertions(+), 249 deletions(-)
 delete mode 100644 .changeset/real-beers-bake.md

diff --git a/.changeset/real-beers-bake.md b/.changeset/real-beers-bake.md
deleted file mode 100644
index 231d2beb5f3f..000000000000
--- a/.changeset/real-beers-bake.md
+++ /dev/null
@@ -1,5 +0,0 @@
----
-'@ai-sdk/openai': patch
----
-
-fix (provider/openai): support tool call deltas when arguments are sent in the first chunk
diff --git a/packages/azure/CHANGELOG.md b/packages/azure/CHANGELOG.md
index f19faa0b9ef0..d5876d6cfa7e 100644
--- a/packages/azure/CHANGELOG.md
+++ b/packages/azure/CHANGELOG.md
@@ -1,5 +1,12 @@
 # @ai-sdk/azure
 
+## 0.0.33
+
+### Patch Changes
+
+- Updated dependencies [28cbf2e]
+  - @ai-sdk/openai@0.0.55
+
 ## 0.0.32
 
 ### Patch Changes
diff --git a/packages/azure/package.json b/packages/azure/package.json
index c7365afb001c..20835221084b 100644
--- a/packages/azure/package.json
+++ b/packages/azure/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/azure",
-  "version": "0.0.32",
+  "version": "0.0.33",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,7 +30,7 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/openai": "0.0.54",
+    "@ai-sdk/openai": "0.0.55",
     "@ai-sdk/provider": "0.0.22",
     "@ai-sdk/provider-utils": "1.0.17"
   },
diff --git a/packages/openai/CHANGELOG.md b/packages/openai/CHANGELOG.md
index 560cfeb74eb2..dfc86c409dfb 100644
--- a/packages/openai/CHANGELOG.md
+++ b/packages/openai/CHANGELOG.md
@@ -1,5 +1,11 @@
 # @ai-sdk/openai
 
+## 0.0.55
+
+### Patch Changes
+
+- 28cbf2e: fix (provider/openai): support tool call deltas when arguments are sent in the first chunk
+
 ## 0.0.54
 
 ### Patch Changes
diff --git a/packages/openai/package.json b/packages/openai/package.json
index 1d22892e0d89..ea39d3f2b6bc 100644
--- a/packages/openai/package.json
+++ b/packages/openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/openai",
-  "version": "0.0.54",
+  "version": "0.0.55",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index dfc26cd98b22..b0b6330cc602 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -1140,7 +1140,7 @@ importers:
   packages/azure:
     dependencies:
       '@ai-sdk/openai':
-        specifier: 0.0.54
+        specifier: 0.0.55
         version: link:../openai
       '@ai-sdk/provider':
         specifier: 0.0.22
@@ -5247,17 +5247,6 @@ packages:
     deprecated: Use @eslint/object-schema instead
     dev: false
 
-  /@img/sharp-darwin-arm64@0.33.4:
-    resolution: {integrity: sha512-p0suNqXufJs9t3RqLBO6vvrgr5OhgbWp76s5gTRvdmxmuv9E1rcaqGUsl3l4mKVmXPkTkTErXediAui4x+8PSA==}
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-    cpu: [arm64]
-    os: [darwin]
-    requiresBuild: true
-    optionalDependencies:
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-    dev: true
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     engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
@@ -5266,18 +5255,6 @@ packages:
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     optionalDependencies:
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-    dev: false
-    optional: true
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-  /@img/sharp-darwin-x64@0.33.4:
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-    cpu: [x64]
-    os: [darwin]
-    requiresBuild: true
-    optionalDependencies:
-      '@img/sharp-libvips-darwin-x64': 1.0.2
-    dev: true
     optional: true
 
   /@img/sharp-darwin-x64@0.33.5:
@@ -5288,16 +5265,6 @@ packages:
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-    dev: false
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-    requiresBuild: true
-    dev: true
     optional: true
 
   /@img/sharp-libvips-darwin-arm64@1.0.4:
@@ -5305,16 +5272,6 @@ packages:
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     os: [darwin]
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-    dev: false
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-    dev: true
     optional: true
 
   /@img/sharp-libvips-darwin-x64@1.0.4:
@@ -5322,16 +5279,6 @@ packages:
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     os: [darwin]
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-    dev: false
-    optional: true
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-    cpu: [arm64]
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-    requiresBuild: true
-    dev: true
     optional: true
 
   /@img/sharp-libvips-linux-arm64@1.0.4:
@@ -5339,16 +5286,6 @@ packages:
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     os: [linux]
     requiresBuild: true
-    dev: false
-    optional: true
-
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-    dev: true
     optional: true
 
   /@img/sharp-libvips-linux-arm@1.0.5:
@@ -5356,16 +5293,6 @@ packages:
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     os: [linux]
     requiresBuild: true
-    dev: false
-    optional: true
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-    cpu: [s390x]
-    os: [linux]
-    requiresBuild: true
-    dev: true
     optional: true
 
   /@img/sharp-libvips-linux-s390x@1.0.4:
@@ -5373,16 +5300,6 @@ packages:
     cpu: [s390x]
     os: [linux]
     requiresBuild: true
-    dev: false
-    optional: true
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-    requiresBuild: true
-    dev: true
     optional: true
 
   /@img/sharp-libvips-linux-x64@1.0.4:
@@ -5390,16 +5307,6 @@ packages:
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-    dev: false
-    optional: true
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-    dev: true
     optional: true
 
   /@img/sharp-libvips-linuxmusl-arm64@1.0.4:
@@ -5407,16 +5314,6 @@ packages:
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     os: [linux]
     requiresBuild: true
-    dev: false
-    optional: true
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-    dev: true
     optional: true
 
   /@img/sharp-libvips-linuxmusl-x64@1.0.4:
@@ -5424,18 +5321,6 @@ packages:
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-    dev: false
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-    cpu: [arm64]
-    os: [linux]
-    requiresBuild: true
-    optionalDependencies:
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-    dev: true
     optional: true
 
   /@img/sharp-linux-arm64@0.33.5:
@@ -5446,18 +5331,6 @@ packages:
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     optionalDependencies:
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-    dev: false
-    optional: true
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-  /@img/sharp-linux-arm@0.33.4:
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-    cpu: [arm]
-    os: [linux]
-    requiresBuild: true
-    optionalDependencies:
-      '@img/sharp-libvips-linux-arm': 1.0.2
-    dev: true
     optional: true
 
   /@img/sharp-linux-arm@0.33.5:
@@ -5468,18 +5341,6 @@ packages:
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     optionalDependencies:
       '@img/sharp-libvips-linux-arm': 1.0.5
-    dev: false
-    optional: true
-
-  /@img/sharp-linux-s390x@0.33.4:
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-    cpu: [s390x]
-    os: [linux]
-    requiresBuild: true
-    optionalDependencies:
-      '@img/sharp-libvips-linux-s390x': 1.0.2
-    dev: true
     optional: true
 
   /@img/sharp-linux-s390x@0.33.5:
@@ -5490,18 +5351,6 @@ packages:
     requiresBuild: true
     optionalDependencies:
       '@img/sharp-libvips-linux-s390x': 1.0.4
-    dev: false
-    optional: true
-
-  /@img/sharp-linux-x64@0.33.4:
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-    engines: {glibc: '>=2.26', node: ^18.17.0 || ^20.3.0 || >=21.0.0, npm: '>=9.6.5', pnpm: '>=7.1.0', yarn: '>=3.2.0'}
-    cpu: [x64]
-    os: [linux]
-    requiresBuild: true
-    optionalDependencies:
-      '@img/sharp-libvips-linux-x64': 1.0.2
-    dev: true
     optional: true
 
   /@img/sharp-linux-x64@0.33.5:
@@ -5512,18 +5361,6 @@ packages:
     requiresBuild: true
     optionalDependencies:
       '@img/sharp-libvips-linux-x64': 1.0.4
-    dev: false
-    optional: true
-
-  /@img/sharp-linuxmusl-arm64@0.33.4:
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-    cpu: [arm64]
-    os: [linux]
-    requiresBuild: true
-    optionalDependencies:
-      '@img/sharp-libvips-linuxmusl-arm64': 1.0.2
-    dev: true
     optional: true
 
   /@img/sharp-linuxmusl-arm64@0.33.5:
@@ -5534,18 +5371,6 @@ packages:
     requiresBuild: true
     optionalDependencies:
       '@img/sharp-libvips-linuxmusl-arm64': 1.0.4
-    dev: false
-    optional: true
-
-  /@img/sharp-linuxmusl-x64@0.33.4:
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-    cpu: [x64]
-    os: [linux]
-    requiresBuild: true
-    optionalDependencies:
-      '@img/sharp-libvips-linuxmusl-x64': 1.0.2
-    dev: true
     optional: true
 
   /@img/sharp-linuxmusl-x64@0.33.5:
@@ -5556,17 +5381,6 @@ packages:
     requiresBuild: true
     optionalDependencies:
       '@img/sharp-libvips-linuxmusl-x64': 1.0.4
-    dev: false
-    optional: true
-
-  /@img/sharp-wasm32@0.33.4:
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-    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0, npm: '>=9.6.5', pnpm: '>=7.1.0', yarn: '>=3.2.0'}
-    cpu: [wasm32]
-    requiresBuild: true
-    dependencies:
-      '@emnapi/runtime': 1.2.0
-    dev: true
     optional: true
 
   /@img/sharp-wasm32@0.33.5:
@@ -5576,16 +5390,6 @@ packages:
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     dependencies:
       '@emnapi/runtime': 1.2.0
-    dev: false
-    optional: true
-
-  /@img/sharp-win32-ia32@0.33.4:
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-    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0, npm: '>=9.6.5', pnpm: '>=7.1.0', yarn: '>=3.2.0'}
-    cpu: [ia32]
-    os: [win32]
-    requiresBuild: true
-    dev: true
     optional: true
 
   /@img/sharp-win32-ia32@0.33.5:
@@ -5594,16 +5398,6 @@ packages:
     cpu: [ia32]
     os: [win32]
     requiresBuild: true
-    dev: false
-    optional: true
-
-  /@img/sharp-win32-x64@0.33.4:
-    resolution: {integrity: sha512-3QLocdTRVIrFNye5YocZl+KKpYKP+fksi1QhmOArgx7GyhIbQp/WrJRu176jm8IxromS7RIkzMiMINVdBtC8Aw==}
-    engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0, npm: '>=9.6.5', pnpm: '>=7.1.0', yarn: '>=3.2.0'}
-    cpu: [x64]
-    os: [win32]
-    requiresBuild: true
-    dev: true
     optional: true
 
   /@img/sharp-win32-x64@0.33.5:
@@ -5612,7 +5406,6 @@ packages:
     cpu: [x64]
     os: [win32]
     requiresBuild: true
-    dev: false
     optional: true
 
   /@inkeep/ai-api@0.1.8(zod@3.23.8):
@@ -18128,7 +17921,7 @@ packages:
       '@next/swc-win32-arm64-msvc': 15.0.0-canary.23
       '@next/swc-win32-ia32-msvc': 15.0.0-canary.23
       '@next/swc-win32-x64-msvc': 15.0.0-canary.23
-      sharp: 0.33.4
+      sharp: 0.33.5
     transitivePeerDependencies:
       - '@babel/core'
       - babel-plugin-macros
@@ -20579,37 +20372,6 @@ packages:
   /setprototypeof@1.2.0:
     resolution: {integrity: sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==}
 
-  /sharp@0.33.4:
-    resolution: {integrity: sha512-7i/dt5kGl7qR4gwPRD2biwD2/SvBn3O04J77XKFgL2OnZtQw+AG9wnuS/csmu80nPRHLYE9E41fyEiG8nhH6/Q==}
-    engines: {libvips: '>=8.15.2', node: ^18.17.0 || ^20.3.0 || >=21.0.0}
-    requiresBuild: true
-    dependencies:
-      color: 4.2.3
-      detect-libc: 2.0.3
-      semver: 7.6.3
-    optionalDependencies:
-      '@img/sharp-darwin-arm64': 0.33.4
-      '@img/sharp-darwin-x64': 0.33.4
-      '@img/sharp-libvips-darwin-arm64': 1.0.2
-      '@img/sharp-libvips-darwin-x64': 1.0.2
-      '@img/sharp-libvips-linux-arm': 1.0.2
-      '@img/sharp-libvips-linux-arm64': 1.0.2
-      '@img/sharp-libvips-linux-s390x': 1.0.2
-      '@img/sharp-libvips-linux-x64': 1.0.2
-      '@img/sharp-libvips-linuxmusl-arm64': 1.0.2
-      '@img/sharp-libvips-linuxmusl-x64': 1.0.2
-      '@img/sharp-linux-arm': 0.33.4
-      '@img/sharp-linux-arm64': 0.33.4
-      '@img/sharp-linux-s390x': 0.33.4
-      '@img/sharp-linux-x64': 0.33.4
-      '@img/sharp-linuxmusl-arm64': 0.33.4
-      '@img/sharp-linuxmusl-x64': 0.33.4
-      '@img/sharp-wasm32': 0.33.4
-      '@img/sharp-win32-ia32': 0.33.4
-      '@img/sharp-win32-x64': 0.33.4
-    dev: true
-    optional: true
-
   /sharp@0.33.5:
     resolution: {integrity: sha512-haPVm1EkS9pgvHrQ/F3Xy+hgcuMV0Wm9vfIBSiwZ05k+xgb0PkBQpGsAA/oWdDobNaZTH5ppvHtzCFbnSEwHVw==}
     engines: {node: ^18.17.0 || ^20.3.0 || >=21.0.0}
@@ -20638,7 +20400,6 @@ packages:
       '@img/sharp-wasm32': 0.33.5
       '@img/sharp-win32-ia32': 0.33.5
       '@img/sharp-win32-x64': 0.33.5
-    dev: false
     optional: true
 
   /shebang-command@1.2.0:

From 548698b560dd8cc94066bac42e86ca1e119586ec Mon Sep 17 00:00:00 2001
From: Nico Albanese <49612682+nicoalbanese@users.noreply.github.com>
Date: Tue, 3 Sep 2024 15:25:56 +0100
Subject: [PATCH 05/11] docs: add workers provider page (#2885)

---
 .../11-cloudflare-workers-ai.mdx              | 155 ++++++++++++++++++
 1 file changed, 155 insertions(+)
 create mode 100644 content/providers/03-community-providers/11-cloudflare-workers-ai.mdx

diff --git a/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx b/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx
new file mode 100644
index 000000000000..aebf19273e2e
--- /dev/null
+++ b/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx
@@ -0,0 +1,155 @@
+---
+title: Cloudflare Workers AI
+description: Learn how to use the Cloudflare Workers AI provider with the Vercel AI SDK.
+---
+
+# Cloudflare Workers AI
+
+[threepointone/workers-ai-provider](https://github.com/threepointone/workers-ai-provider/) is a community provider that enables Cloudflare's [Workers AI](https://ai.cloudflare.com/) models for use the Vercel AI SDK.
+
+## Setup
+
+The Cloudflare Workers AI provider is available in the `workers-ai-provider` module. You can install it with:
+
+<Tabs items={['pnpm', 'npm', 'yarn']}>
+  <Tab>
+    <Snippet text="pnpm add workers-ai-provider" />
+  </Tab>
+  <Tab>
+    <Snippet text="npm install workers-ai-provider" />
+  </Tab>
+  <Tab>
+    <Snippet text="yarn add workers-ai-provider" />
+  </Tab>
+</Tabs>
+
+Then, setup an AI binding in your Cloudflare Workers project `wrangler.toml` file:
+
+```bash filename="wrangler.toml"
+# ...
+[ai]
+binding = "AI"
+# ...
+```
+
+## Provider Instance
+
+To create a `workersai` provider instance, use the `createWorkersAI` function, passing in the AI binding as an option:
+
+```typescript
+import { createWorkersAI } from 'workers-ai-provider';
+
+const workersai = createWorkersAI({ binding: env.AI });
+```
+
+## Language Models
+
+To create a model instance, call the provider instance and specify the model you would like to use as the first argument. You can also pass additional settings in the second argument:
+
+```typescript highlight="4-7"
+import { createWorkersAI } from 'workers-ai-provider';
+
+const workersai = createWorkersAI({ binding: env.AI });
+const model = workersai('@cf/meta/llama-3.1-8b-instruct', {
+  // additional settings
+  safePrompt: true,
+});
+```
+
+You can use the following optional settings to customize:
+
+- **safePrompt** _boolean_
+
+  Whether to inject a safety prompt before all conversations. Defaults to `false`
+
+### Examples
+
+You can use Cloudflare Workers AI language models to generate text with the **`generateText`** or **`streamText`** function:
+
+#### `generateText`
+
+```typescript
+import { createWorkersAI } from 'workers-ai-provider';
+import { generateText } from 'ai';
+
+type Env = {
+  AI: Ai;
+};
+
+export default {
+  async fetch(_: Request, env: Env) {
+    const workersai = createWorkersAI({ binding: env.AI });
+    const result = await generateText({
+      model: workersai('@cf/meta/llama-2-7b-chat-int8'),
+      prompt: 'Write a 50-word essay about hello world.',
+    });
+
+    return new Response(result.text);
+  },
+};
+```
+
+#### `streamText`
+
+```typescript
+import { createWorkersAI } from 'workers-ai-provider';
+import { streamText } from 'ai';
+
+type Env = {
+  AI: Ai;
+};
+
+export default {
+  async fetch(_: Request, env: Env) {
+    const workersai = createWorkersAI({ binding: env.AI });
+    const result = await streamText({
+      model: workersai('@cf/meta/llama-2-7b-chat-int8'),
+      prompt: 'Write a 50-word essay about hello world.',
+    });
+
+    return result.toTextStreamResponse({
+      headers: {
+        // add these headers to ensure that the
+        // response is chunked and streamed
+        'Content-Type': 'text/x-unknown',
+        'content-encoding': 'identity',
+        'transfer-encoding': 'chunked',
+      },
+    });
+  },
+};
+```
+
+#### `generateObject`
+
+Some Cloudflare Workers AI language models can also be used with the `generateObject` function:
+
+```typescript
+import { createWorkersAI } from 'workers-ai-provider';
+import { generateObject } from 'ai';
+import { z } from 'zod';
+
+type Env = {
+  AI: Ai;
+};
+
+export default {
+  async fetch(_: Request, env: Env) {
+    const workersai = createWorkersAI({ binding: env.AI });
+    const result = await generateObject({
+      model: workersai('@cf/meta/llama-3.1-8b-instruct'),
+      prompt: 'Generate a Lasagna recipe',
+      schema: z.object({
+        recipe: z.object({
+          ingredients: z.array(z.string()),
+          description: z.string(),
+        }),
+      }),
+    });
+
+    return Response.json(result.object);
+  },
+};
+```
+
+<Note>`tools` and `streamObject` are currently not supported.</Note>

From 8b19cf0685e4a218d664b51eec3f5795708d24e5 Mon Sep 17 00:00:00 2001
From: Nico Albanese <49612682+nicoalbanese@users.noreply.github.com>
Date: Tue, 3 Sep 2024 15:57:27 +0100
Subject: [PATCH 06/11] docs: fix cf provider page (#2886)

---
 .../03-community-providers/11-cloudflare-workers-ai.mdx         | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx b/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx
index aebf19273e2e..fe86c54dce4e 100644
--- a/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx
+++ b/content/providers/03-community-providers/11-cloudflare-workers-ai.mdx
@@ -5,7 +5,7 @@ description: Learn how to use the Cloudflare Workers AI provider with the Vercel
 
 # Cloudflare Workers AI
 
-[threepointone/workers-ai-provider](https://github.com/threepointone/workers-ai-provider/) is a community provider that enables Cloudflare's [Workers AI](https://ai.cloudflare.com/) models for use the Vercel AI SDK.
+[threepointone/workers-ai-provider](https://github.com/threepointone/workers-ai-provider/) is a community provider that allows you to use Cloudflare's [Workers AI](https://ai.cloudflare.com/) models with the Vercel AI SDK.
 
 ## Setup
 

From 3be7c1cc734eb2a5c0ea16dc22d0f11b89170079 Mon Sep 17 00:00:00 2001
From: Lars Grammel <lars.grammel@gmail.com>
Date: Wed, 4 Sep 2024 09:32:58 +0200
Subject: [PATCH 07/11] fix (provider/anthropic): support prompt caching on
 assistant messages (#2890)

---
 .changeset/two-boxes-attend.md                |   7 +
 .../core/generate-text/generate-text.test.ts  |  11 +-
 .../ai/core/generate-text/stream-text.test.ts |  11 +-
 packages/ai/core/prompt/content-part.ts       |   7 +
 .../convert-to-language-model-prompt.test.ts  |  43 ++++++
 .../convert-to-language-model-prompt.ts       |  16 ++-
 .../src/anthropic-messages-prompt.ts          |   1 +
 ...nvert-to-anthropic-messages-prompt.test.ts | 129 ++++++++++++++++++
 .../convert-to-anthropic-messages-prompt.ts   |  25 +++-
 .../v1/language-model-v1-call-options.ts      |   8 ++
 .../v1/language-model-v1-prompt.ts            |   7 +
 11 files changed, 248 insertions(+), 17 deletions(-)
 create mode 100644 .changeset/two-boxes-attend.md

diff --git a/.changeset/two-boxes-attend.md b/.changeset/two-boxes-attend.md
new file mode 100644
index 000000000000..84408377808c
--- /dev/null
+++ b/.changeset/two-boxes-attend.md
@@ -0,0 +1,7 @@
+---
+'@ai-sdk/anthropic': patch
+'@ai-sdk/provider': patch
+'ai': patch
+---
+
+fix (provider/anthropic): support prompt caching on assistant messages
diff --git a/packages/ai/core/generate-text/generate-text.test.ts b/packages/ai/core/generate-text/generate-text.test.ts
index ed09f5312e3e..ec133fa2ca54 100644
--- a/packages/ai/core/generate-text/generate-text.test.ts
+++ b/packages/ai/core/generate-text/generate-text.test.ts
@@ -390,7 +390,7 @@ describe('result.responseMessages', () => {
           doGenerate: async ({ prompt, mode }) => {
             switch (responseCount++) {
               case 0:
-                assert.deepStrictEqual(mode, {
+                expect(mode).toStrictEqual({
                   type: 'regular',
                   toolChoice: { type: 'auto' },
                   tools: [
@@ -408,7 +408,8 @@ describe('result.responseMessages', () => {
                     },
                   ],
                 });
-                assert.deepStrictEqual(prompt, [
+
+                expect(prompt).toStrictEqual([
                   {
                     role: 'user',
                     content: [{ type: 'text', text: 'test-input' }],
@@ -441,7 +442,7 @@ describe('result.responseMessages', () => {
                   },
                 };
               case 1:
-                assert.deepStrictEqual(mode, {
+                expect(mode).toStrictEqual({
                   type: 'regular',
                   toolChoice: { type: 'auto' },
                   tools: [
@@ -459,7 +460,8 @@ describe('result.responseMessages', () => {
                     },
                   ],
                 });
-                assert.deepStrictEqual(prompt, [
+
+                expect(prompt).toStrictEqual([
                   {
                     role: 'user',
                     content: [
@@ -477,6 +479,7 @@ describe('result.responseMessages', () => {
                         toolCallId: 'call-1',
                         toolName: 'tool1',
                         args: { value: 'value' },
+                        providerMetadata: undefined,
                       },
                     ],
                     providerMetadata: undefined,
diff --git a/packages/ai/core/generate-text/stream-text.test.ts b/packages/ai/core/generate-text/stream-text.test.ts
index 6d009a29ce0c..bce829b2dfeb 100644
--- a/packages/ai/core/generate-text/stream-text.test.ts
+++ b/packages/ai/core/generate-text/stream-text.test.ts
@@ -1997,7 +1997,7 @@ describe('options.maxToolRoundtrips', () => {
           doStream: async ({ prompt, mode }) => {
             switch (responseCount++) {
               case 0:
-                assert.deepStrictEqual(mode, {
+                expect(mode).toStrictEqual({
                   type: 'regular',
                   tools: [
                     {
@@ -2015,7 +2015,8 @@ describe('options.maxToolRoundtrips', () => {
                   ],
                   toolChoice: { type: 'auto' },
                 });
-                assert.deepStrictEqual(prompt, [
+
+                expect(prompt).toStrictEqual([
                   {
                     role: 'user',
                     content: [{ type: 'text', text: 'test-input' }],
@@ -2041,7 +2042,7 @@ describe('options.maxToolRoundtrips', () => {
                   rawCall: { rawPrompt: 'prompt', rawSettings: {} },
                 };
               case 1:
-                assert.deepStrictEqual(mode, {
+                expect(mode).toStrictEqual({
                   type: 'regular',
                   tools: [
                     {
@@ -2059,7 +2060,8 @@ describe('options.maxToolRoundtrips', () => {
                   ],
                   toolChoice: { type: 'auto' },
                 });
-                assert.deepStrictEqual(prompt, [
+
+                expect(prompt).toStrictEqual([
                   {
                     role: 'user',
                     content: [{ type: 'text', text: 'test-input' }],
@@ -2072,6 +2074,7 @@ describe('options.maxToolRoundtrips', () => {
                         toolCallId: 'call-1',
                         toolName: 'tool1',
                         args: { value: 'value' },
+                        providerMetadata: undefined,
                       },
                     ],
                     providerMetadata: undefined,
diff --git a/packages/ai/core/prompt/content-part.ts b/packages/ai/core/prompt/content-part.ts
index bc27c2024d3c..6f2bcfe971b9 100644
--- a/packages/ai/core/prompt/content-part.ts
+++ b/packages/ai/core/prompt/content-part.ts
@@ -84,6 +84,13 @@ Name of the tool that is being called.
 Arguments of the tool call. This is a JSON-serializable object that matches the tool's input schema.
    */
   args: unknown;
+
+  /**
+Additional provider-specific metadata. They are passed through
+to the provider from the AI SDK and enable provider-specific
+functionality that can be fully encapsulated in the provider.
+ */
+  experimental_providerMetadata?: ProviderMetadata;
 }
 
 export const toolCallPartSchema: z.ZodType<ToolCallPart> = z.object({
diff --git a/packages/ai/core/prompt/convert-to-language-model-prompt.test.ts b/packages/ai/core/prompt/convert-to-language-model-prompt.test.ts
index 46623d503c73..591846a9bee0 100644
--- a/packages/ai/core/prompt/convert-to-language-model-prompt.test.ts
+++ b/packages/ai/core/prompt/convert-to-language-model-prompt.test.ts
@@ -230,5 +230,48 @@ describe('convertToLanguageModelMessage', () => {
         });
       });
     });
+
+    describe('tool call parts', () => {
+      it('should pass through provider metadata', () => {
+        const result = convertToLanguageModelMessage(
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'tool-call',
+                toolName: 'toolName',
+                toolCallId: 'toolCallId',
+                args: {},
+                experimental_providerMetadata: {
+                  'test-provider': {
+                    'key-a': 'test-value-1',
+                    'key-b': 'test-value-2',
+                  },
+                },
+              },
+            ],
+          },
+          null,
+        );
+
+        expect(result).toEqual({
+          role: 'assistant',
+          content: [
+            {
+              type: 'tool-call',
+              args: {},
+              toolCallId: 'toolCallId',
+              toolName: 'toolName',
+              providerMetadata: {
+                'test-provider': {
+                  'key-a': 'test-value-1',
+                  'key-b': 'test-value-2',
+                },
+              },
+            },
+          ],
+        });
+      });
+    });
   });
 });
diff --git a/packages/ai/core/prompt/convert-to-language-model-prompt.ts b/packages/ai/core/prompt/convert-to-language-model-prompt.ts
index f613851a6ab0..5ae117f7e6b7 100644
--- a/packages/ai/core/prompt/convert-to-language-model-prompt.ts
+++ b/packages/ai/core/prompt/convert-to-language-model-prompt.ts
@@ -219,10 +219,18 @@ export function convertToLanguageModelMessage(
 
       return {
         role: 'assistant',
-        content: message.content.filter(
-          // remove empty text parts:
-          part => part.type !== 'text' || part.text !== '',
-        ),
+        content: message.content
+          .filter(
+            // remove empty text parts:
+            part => part.type !== 'text' || part.text !== '',
+          )
+          .map(part => {
+            const { experimental_providerMetadata, ...rest } = part;
+            return {
+              ...rest,
+              providerMetadata: experimental_providerMetadata,
+            };
+          }),
         providerMetadata: message.experimental_providerMetadata,
       };
     }
diff --git a/packages/anthropic/src/anthropic-messages-prompt.ts b/packages/anthropic/src/anthropic-messages-prompt.ts
index 375d9ae91311..676a1060e986 100644
--- a/packages/anthropic/src/anthropic-messages-prompt.ts
+++ b/packages/anthropic/src/anthropic-messages-prompt.ts
@@ -40,6 +40,7 @@ export interface AnthropicToolCallContent {
   id: string;
   name: string;
   input: unknown;
+  cache_control?: AnthropicCacheControl;
 }
 
 export interface AnthropicToolResultContent {
diff --git a/packages/anthropic/src/convert-to-anthropic-messages-prompt.test.ts b/packages/anthropic/src/convert-to-anthropic-messages-prompt.test.ts
index 30bed9d5ea43..9604c23ded05 100644
--- a/packages/anthropic/src/convert-to-anthropic-messages-prompt.test.ts
+++ b/packages/anthropic/src/convert-to-anthropic-messages-prompt.test.ts
@@ -405,6 +405,135 @@ describe('cache control', () => {
     });
   });
 
+  describe('assistant message', () => {
+    it('should set cache_control on assistant message text part with part cache control', async () => {
+      const result = convertToAnthropicMessagesPrompt({
+        prompt: [
+          { role: 'user', content: [{ type: 'text', text: 'user-content' }] },
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'text',
+                text: 'test',
+                providerMetadata: {
+                  anthropic: {
+                    cacheControl: { type: 'ephemeral' },
+                  },
+                },
+              },
+            ],
+          },
+        ],
+        cacheControl: true,
+      });
+
+      expect(result).toEqual({
+        messages: [
+          { role: 'user', content: [{ type: 'text', text: 'user-content' }] },
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'text',
+                text: 'test',
+                cache_control: { type: 'ephemeral' },
+              },
+            ],
+          },
+        ],
+        system: undefined,
+      });
+    });
+
+    it('should set cache_control on assistant tool call part with part cache control', async () => {
+      const result = convertToAnthropicMessagesPrompt({
+        prompt: [
+          { role: 'user', content: [{ type: 'text', text: 'user-content' }] },
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'tool-call',
+                toolCallId: 'test-id',
+                toolName: 'test-tool',
+                args: { some: 'arg' },
+                providerMetadata: {
+                  anthropic: {
+                    cacheControl: { type: 'ephemeral' },
+                  },
+                },
+              },
+            ],
+          },
+        ],
+        cacheControl: true,
+      });
+
+      expect(result).toEqual({
+        messages: [
+          { role: 'user', content: [{ type: 'text', text: 'user-content' }] },
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'tool_use',
+                name: 'test-tool',
+                id: 'test-id',
+                input: { some: 'arg' },
+                cache_control: { type: 'ephemeral' },
+              },
+            ],
+          },
+        ],
+        system: undefined,
+      });
+    });
+
+    it('should set cache_control on last assistant message part with message cache control', async () => {
+      const result = convertToAnthropicMessagesPrompt({
+        prompt: [
+          { role: 'user', content: [{ type: 'text', text: 'user-content' }] },
+          {
+            role: 'assistant',
+            content: [
+              { type: 'text', text: 'part1' },
+              { type: 'text', text: 'part2' },
+            ],
+            providerMetadata: {
+              anthropic: {
+                cacheControl: { type: 'ephemeral' },
+              },
+            },
+          },
+        ],
+        cacheControl: true,
+      });
+
+      expect(result).toEqual({
+        messages: [
+          { role: 'user', content: [{ type: 'text', text: 'user-content' }] },
+          {
+            role: 'assistant',
+            content: [
+              {
+                type: 'text',
+                text: 'part1',
+                cache_control: undefined,
+              },
+              {
+                type: 'text',
+                text: 'part2',
+                cache_control: { type: 'ephemeral' },
+              },
+            ],
+          },
+        ],
+        system: undefined,
+      });
+    });
+  });
+
   describe('tool message', () => {
     it('should set cache_control on tool result message part with part cache control', async () => {
       const result = convertToAnthropicMessagesPrompt({
diff --git a/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts b/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts
index 4a28c9e8a231..a357d9abafc0 100644
--- a/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts
+++ b/packages/anthropic/src/convert-to-anthropic-messages-prompt.ts
@@ -72,13 +72,13 @@ export function convertToAnthropicMessagesPrompt({
           const { role, content } = message;
           switch (role) {
             case 'user': {
-              for (let i = 0; i < content.length; i++) {
-                const part = content[i];
+              for (let j = 0; j < content.length; j++) {
+                const part = content[j];
 
                 // cache control: first add cache control from part.
                 // for the last part of a message,
                 // check also if the message has cache control.
-                const isLastPart = i === content.length - 1;
+                const isLastPart = j === content.length - 1;
 
                 const cacheControl =
                   getCacheControl(part.providerMetadata) ??
@@ -162,9 +162,23 @@ export function convertToAnthropicMessagesPrompt({
         // combines multiple assistant messages in this block into a single message:
         const anthropicContent: AnthropicAssistantMessage['content'] = [];
 
-        for (const { content } of block.messages) {
+        for (const message of block.messages) {
+          const { content } = message;
+
           for (let j = 0; j < content.length; j++) {
             const part = content[j];
+
+            // cache control: first add cache control from part.
+            // for the last part of a message,
+            // check also if the message has cache control.
+            const isLastPart = j === content.length - 1;
+
+            const cacheControl =
+              getCacheControl(part.providerMetadata) ??
+              (isLastPart
+                ? getCacheControl(message.providerMetadata)
+                : undefined);
+
             switch (part.type) {
               case 'text': {
                 anthropicContent.push({
@@ -177,7 +191,7 @@ export function convertToAnthropicMessagesPrompt({
                       ? part.text.trim()
                       : part.text,
 
-                  cache_control: undefined, // not used in assistant messages
+                  cache_control: cacheControl,
                 });
                 break;
               }
@@ -188,6 +202,7 @@ export function convertToAnthropicMessagesPrompt({
                   id: part.toolCallId,
                   name: part.toolName,
                   input: part.args,
+                  cache_control: cacheControl,
                 });
                 break;
               }
diff --git a/packages/provider/src/language-model/v1/language-model-v1-call-options.ts b/packages/provider/src/language-model/v1/language-model-v1-call-options.ts
index abe9da877e98..1b40674db947 100644
--- a/packages/provider/src/language-model/v1/language-model-v1-call-options.ts
+++ b/packages/provider/src/language-model/v1/language-model-v1-call-options.ts
@@ -2,6 +2,7 @@ import { JSONSchema7 } from 'json-schema';
 import { LanguageModelV1CallSettings } from './language-model-v1-call-settings';
 import { LanguageModelV1FunctionTool } from './language-model-v1-function-tool';
 import { LanguageModelV1Prompt } from './language-model-v1-prompt';
+import { LanguageModelV1ProviderMetadata } from './language-model-v1-provider-metadata';
 import { LanguageModelV1ToolChoice } from './language-model-v1-tool-choice';
 
 export type LanguageModelV1CallOptions = LanguageModelV1CallSettings & {
@@ -76,4 +77,11 @@ That approach allows us to evolve the user  facing prompts without breaking
 the language model interface.
    */
   prompt: LanguageModelV1Prompt;
+
+  /**
+   * Additional provider-specific metadata. They are passed through
+   * to the provider from the AI SDK and enable provider-specific
+   * functionality that can be fully encapsulated in the provider.
+   */
+  providerMetadata?: LanguageModelV1ProviderMetadata;
 };
diff --git a/packages/provider/src/language-model/v1/language-model-v1-prompt.ts b/packages/provider/src/language-model/v1/language-model-v1-prompt.ts
index 2661821789c0..05f96344ee8f 100644
--- a/packages/provider/src/language-model/v1/language-model-v1-prompt.ts
+++ b/packages/provider/src/language-model/v1/language-model-v1-prompt.ts
@@ -104,6 +104,13 @@ Name of the tool that is being called.
 Arguments of the tool call. This is a JSON-serializable object that matches the tool's input schema.
    */
   args: unknown;
+
+  /**
+   * Additional provider-specific metadata. They are passed through
+   * to the provider from the AI SDK and enable provider-specific
+   * functionality that can be fully encapsulated in the provider.
+   */
+  providerMetadata?: LanguageModelV1ProviderMetadata;
 }
 
 /**

From b39c33ef57df51bc83715543d56041c235d0f6b1 Mon Sep 17 00:00:00 2001
From: Lars Grammel <lars.grammel@gmail.com>
Date: Wed, 4 Sep 2024 10:12:54 +0200
Subject: [PATCH 08/11] chore (ai/provider): language model v1 spec cleanups
 (#2892)

---
 .../src/language-model/v1/language-model-v1.ts       | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/packages/provider/src/language-model/v1/language-model-v1.ts b/packages/provider/src/language-model/v1/language-model-v1.ts
index 152884dda8a4..a5b51d163122 100644
--- a/packages/provider/src/language-model/v1/language-model-v1.ts
+++ b/packages/provider/src/language-model/v1/language-model-v1.ts
@@ -135,8 +135,10 @@ results that can be fully encapsulated in the provider.
     providerMetadata?: LanguageModelV1ProviderMetadata;
 
     /**
-  Logprobs for the completion.
-  `undefined` if the mode does not support logprobs or if was not enabled
+Logprobs for the completion.
+`undefined` if the mode does not support logprobs or if was not enabled
+
+@deprecated will be changed into a provider-specific extension in v2
      */
     logprobs?: LanguageModelV1LogProbs;
   }>;
@@ -205,12 +207,12 @@ export type LanguageModelV1StreamPart =
   | {
       type: 'finish';
       finishReason: LanguageModelV1FinishReason;
-      logprobs?: LanguageModelV1LogProbs;
       providerMetadata?: LanguageModelV1ProviderMetadata;
       usage: { promptTokens: number; completionTokens: number };
+
+      // @deprecated - will be changed into a provider-specific extension in v2
+      logprobs?: LanguageModelV1LogProbs;
     }
 
   // error parts are streamed, allowing for multiple errors
   | { type: 'error'; error: unknown };
-
-export type LanguageModelV1ResponseMetadata = {};

From b93f963462f52a72a59a77619ccff669244fcfe2 Mon Sep 17 00:00:00 2001
From: Walter Korman <lemurware@gmail.com>
Date: Wed, 4 Sep 2024 23:05:20 -0700
Subject: [PATCH 09/11] fix (docs): Correct minor typo in `tool` reference
 (#2898)

---
 content/docs/07-reference/ai-sdk-core/20-tool.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/docs/07-reference/ai-sdk-core/20-tool.mdx b/content/docs/07-reference/ai-sdk-core/20-tool.mdx
index ca8557928606..5434e8276822 100644
--- a/content/docs/07-reference/ai-sdk-core/20-tool.mdx
+++ b/content/docs/07-reference/ai-sdk-core/20-tool.mdx
@@ -5,7 +5,7 @@ description: Helper function for tool type inference
 
 # `tool()`
 
-Tool is a helper function that infers the tool paramaters for its `execute` method.
+Tool is a helper function that infers the tool parameters for its `execute` method.
 
 It does not have any runtime behavior, but it helps TypeScript infer the types of the parameters for the `execute` method.
 

From 03313cd6255b395f6a13ca62af2b7b265fabb9ef Mon Sep 17 00:00:00 2001
From: Lars Grammel <lars.grammel@gmail.com>
Date: Thu, 5 Sep 2024 13:57:16 +0200
Subject: [PATCH 10/11] feat (ai): expose response id, response model, response
 timestamp in telemetry and api (#2893)

---
 .changeset/calm-walls-sin.md                  |  11 +
 content/docs/03-ai-sdk-core/60-telemetry.mdx  |  73 +-
 .../ai-sdk-core/01-generate-text.mdx          |  56 +-
 .../ai-sdk-core/02-stream-text.mdx            | 119 ++-
 .../ai-sdk-core/03-generate-object.mdx        |  28 +-
 .../ai-sdk-core/04-stream-object.mdx          |  88 ++-
 .../src/generate-object/openai-full-json.ts   |  30 -
 .../src/generate-object/openai-full-result.ts |  24 +
 .../ai-core/src/generate-object/openai.ts     |   4 +-
 .../generate-text/anthropic-full-result.ts    |  14 +
 .../src/generate-text/mistral-full-result.ts  |  14 +
 .../src/generate-text/openai-full-result.ts   |  14 +
 .../src/stream-text/cohere-response.ts        |  20 +
 .../src/stream-text/openai-fullstream-raw.ts  |  16 +
 ...response-headers.ts => openai-response.ts} |  14 +-
 .../ai-core/src/telemetry/generate-object.ts  |  48 ++
 .../ai-core/src/telemetry/generate-text.ts    |   2 +-
 .../ai-core/src/telemetry/stream-object.ts    |  51 ++
 examples/ai-core/src/telemetry/stream-text.ts |  11 +-
 packages/ai/core/embed/embed-many-result.ts   |   4 +-
 packages/ai/core/embed/embed-result.ts        |   4 +-
 .../generate-object.test.ts.snap              |  20 +
 .../__snapshots__/stream-object.test.ts.snap  | 147 ++++
 .../generate-object/generate-object-result.ts |  20 +-
 .../generate-object/generate-object.test.ts   |  95 +++
 .../core/generate-object/generate-object.ts   |  95 ++-
 packages/ai/core/generate-object/index.ts     |  11 +-
 .../generate-object/stream-object-result.ts   |  44 +-
 .../generate-object/stream-object.test.ts     | 347 +++++----
 .../ai/core/generate-object/stream-object.ts  | 145 +++-
 .../__snapshots__/generate-text.test.ts.snap  |  78 ++
 .../__snapshots__/stream-text.test.ts.snap    | 100 +++
 .../generate-text/generate-text-result.ts     |  37 +-
 .../core/generate-text/generate-text.test.ts  | 117 +--
 .../ai/core/generate-text/generate-text.ts    |  63 +-
 packages/ai/core/generate-text/index.ts       |   4 +-
 .../generate-text/run-tools-transformation.ts |  24 +-
 .../core/generate-text/stream-text-result.ts  |  29 +-
 .../ai/core/generate-text/stream-text.test.ts | 702 ++++++++++++------
 packages/ai/core/generate-text/stream-text.ts |  95 ++-
 .../ai/core/test/mock-embedding-model-v1.ts   |   4 +-
 packages/ai/core/test/mock-id.ts              |   4 +
 .../core/test/{mock-now.ts => mock-values.ts} |   2 +-
 packages/ai/core/types/index.ts               |  23 +-
 packages/ai/core/types/language-model.ts      |  24 +
 .../core/types/{token-usage.ts => usage.ts}   |  22 +-
 packages/ai/rsc/stream-ui/stream-ui.tsx       |  10 +-
 .../anthropic-messages-language-model.test.ts |  46 +-
 .../src/anthropic-messages-language-model.ts  |  14 +
 .../src/cohere-chat-language-model.test.ts    |  27 +-
 .../cohere/src/cohere-chat-language-model.ts  |  16 +-
 packages/mistral/src/get-response-metadata.ts |  15 +
 .../src/mistral-chat-language-model.test.ts   |  45 +-
 .../src/mistral-chat-language-model.ts        |  24 +-
 packages/openai/src/get-response-metadata.ts  |  15 +
 .../src/openai-chat-language-model.test.ts    |  62 +-
 .../openai/src/openai-chat-language-model.ts  |  18 +
 .../openai-completion-language-model.test.ts  |  38 +-
 .../src/openai-completion-language-model.ts   |  27 +-
 packages/provider-utils/src/generate-id.ts    |  27 +-
 packages/provider-utils/src/index.ts          |   2 +-
 .../language-model/v1/language-model-v1.ts    |  32 +-
 62 files changed, 2605 insertions(+), 710 deletions(-)
 create mode 100644 .changeset/calm-walls-sin.md
 delete mode 100644 examples/ai-core/src/generate-object/openai-full-json.ts
 create mode 100644 examples/ai-core/src/generate-object/openai-full-result.ts
 create mode 100644 examples/ai-core/src/generate-text/anthropic-full-result.ts
 create mode 100644 examples/ai-core/src/generate-text/mistral-full-result.ts
 create mode 100644 examples/ai-core/src/generate-text/openai-full-result.ts
 create mode 100644 examples/ai-core/src/stream-text/cohere-response.ts
 create mode 100644 examples/ai-core/src/stream-text/openai-fullstream-raw.ts
 rename examples/ai-core/src/stream-text/{openai-response-headers.ts => openai-response.ts} (64%)
 create mode 100644 examples/ai-core/src/telemetry/generate-object.ts
 create mode 100644 examples/ai-core/src/telemetry/stream-object.ts
 create mode 100644 packages/ai/core/test/mock-id.ts
 rename packages/ai/core/test/{mock-now.ts => mock-values.ts} (59%)
 rename packages/ai/core/types/{token-usage.ts => usage.ts} (58%)
 create mode 100644 packages/mistral/src/get-response-metadata.ts
 create mode 100644 packages/openai/src/get-response-metadata.ts

diff --git a/.changeset/calm-walls-sin.md b/.changeset/calm-walls-sin.md
new file mode 100644
index 000000000000..62e5c1fc7da9
--- /dev/null
+++ b/.changeset/calm-walls-sin.md
@@ -0,0 +1,11 @@
+---
+'@ai-sdk/provider-utils': patch
+'@ai-sdk/anthropic': patch
+'@ai-sdk/provider': patch
+'@ai-sdk/mistral': patch
+'@ai-sdk/cohere': patch
+'@ai-sdk/openai': patch
+'ai': patch
+---
+
+feat (ai): expose response id, response model, response timestamp in telemetry and api
diff --git a/content/docs/03-ai-sdk-core/60-telemetry.mdx b/content/docs/03-ai-sdk-core/60-telemetry.mdx
index 3316eaf69569..35e502f0faff 100644
--- a/content/docs/03-ai-sdk-core/60-telemetry.mdx
+++ b/content/docs/03-ai-sdk-core/60-telemetry.mdx
@@ -61,8 +61,9 @@ const result = await generateText({
 
 `generateText` records 3 types of spans:
 
-- `ai.generateText`: the full length of the generateText call. It contains 1 or more `ai.generateText.doGenerate` spans.
+- `ai.generateText` (span): the full length of the generateText call. It contains 1 or more `ai.generateText.doGenerate` spans.
   It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.generateText` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.generateText"`
   - `ai.prompt`: the prompt that was used when calling `generateText`
@@ -70,8 +71,10 @@ const result = await generateText({
   - `ai.response.toolCalls`: the tool calls that were made as part of the generation (stringified JSON)
   - `ai.response.finishReason`: the reason why the generation finished
   - `ai.settings.maxToolRoundtrips`: the maximum number of tool roundtrips that were set
-- `ai.generateText.doGenerate`: a provider doGenerate call. It can contain `ai.toolCall` spans.
-  It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+
+- `ai.generateText.doGenerate` (span): a provider doGenerate call. It can contain `ai.toolCall` spans.
+  It contains the [call LLM span information](#call-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.generateText.doGenerate` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.generateText.doGenerate"`
   - `ai.prompt.format`: the format of the prompt
@@ -79,23 +82,26 @@ const result = await generateText({
   - `ai.response.text`: the text that was generated
   - `ai.response.toolCalls`: the tool calls that were made as part of the generation (stringified JSON)
   - `ai.response.finishReason`: the reason why the generation finished
-- `ai.toolCall`: a tool call that is made as part of the generateText call. See [Tool call spans](#tool-call-spans) for more details.
+
+- `ai.toolCall` (span): a tool call that is made as part of the generateText call. See [Tool call spans](#tool-call-spans) for more details.
 
 ### streamText function
 
-`streamText` records 3 types of spans:
+`streamText` records 3 types of spans and 2 types of events:
 
-- `ai.streamText`: the full length of the streamText call. It contains a `ai.streamText.doStream` span.
+- `ai.streamText` (span): the full length of the streamText call. It contains a `ai.streamText.doStream` span.
   It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.streamText` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.streamText"`
   - `ai.prompt`: the prompt that was used when calling `streamText`
   - `ai.response.text`: the text that was generated
   - `ai.response.toolCalls`: the tool calls that were made as part of the generation (stringified JSON)
   - `ai.response.finishReason`: the reason why the generation finished
-- `ai.streamText.doStream`: a provider doStream call.
+
+- `ai.streamText.doStream` (span): a provider doStream call.
   This span contains an `ai.stream.firstChunk` event and `ai.toolCall` spans.
-  It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+  It contains the [call LLM span information](#call-llm-span-information) and the following attributes:
 
   - `operation.name`: `ai.streamText.doStream` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.streamText.doStream"`
@@ -108,10 +114,13 @@ const result = await generateText({
   - `ai.response.avgCompletionTokensPerSecond`: the average number of completion tokens per second
   - `ai.response.finishReason`: the reason why the generation finished
 
+- `ai.toolCall` (span): a tool call that is made as part of the generateText call. See [Tool call spans](#tool-call-spans) for more details.
+
 - `ai.stream.firstChunk` (event): an event that is emitted when the first chunk of the stream is received.
+
   - `ai.response.msToFirstChunk`: the time it took to receive the first chunk
+
 - `ai.stream.finish` (event): an event that is emitted when the finish part of the LLM stream is received.
-- `ai.toolCall`: a tool call that is made as part of the generateText call. See [Tool call spans](#tool-call-spans) for more details.
 
 It also records a `ai.stream.firstChunk` event when the first chunk of the stream is received.
 
@@ -119,8 +128,9 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
 
 `generateObject` records 2 types of spans:
 
-- `ai.generateObject`: the full length of the generateObject call. It contains 1 or more `ai.generateObject.doGenerate` spans.
+- `ai.generateObject` (span): the full length of the generateObject call. It contains 1 or more `ai.generateObject.doGenerate` spans.
   It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.generateObject` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.generateObject"`
   - `ai.prompt`: the prompt that was used when calling `generateObject`
@@ -130,8 +140,10 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
   - `ai.response.object`: the object that was generated (stringified JSON)
   - `ai.settings.mode`: the object generation mode, e.g. `json`
   - `ai.settings.output`: the output type that was used, e.g. `object` or `no-schema`
-- `ai.generateObject.doGenerate`: a provider doGenerate call.
-  It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+
+- `ai.generateObject.doGenerate` (span): a provider doGenerate call.
+  It contains the [call LLM span information](#call-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.generateObject.doGenerate` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.generateObject.doGenerate"`
   - `ai.prompt.format`: the format of the prompt
@@ -142,10 +154,11 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
 
 ### streamObject function
 
-`streamObject` records 2 types of spans:
+`streamObject` records 2 types of spans and 1 type of event:
 
-- `ai.streamObject`: the full length of the streamObject call. It contains 1 or more `ai.streamObject.doStream` spans.
+- `ai.streamObject` (span): the full length of the streamObject call. It contains 1 or more `ai.streamObject.doStream` spans.
   It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.streamObject` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.streamObject"`
   - `ai.prompt`: the prompt that was used when calling `streamObject`
@@ -155,9 +168,11 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
   - `ai.response.object`: the object that was generated (stringified JSON)
   - `ai.settings.mode`: the object generation mode, e.g. `json`
   - `ai.settings.output`: the output type that was used, e.g. `object` or `no-schema`
-- `ai.streamObject.doStream`: a provider doStream call.
+
+- `ai.streamObject.doStream` (span): a provider doStream call.
   This span contains an `ai.stream.firstChunk` event.
-  It contains the [basic LLM span information](#basic-llm-span-information) and the following attributes:
+  It contains the [call LLM span information](#call-llm-span-information) and the following attributes:
+
   - `operation.name`: `ai.streamObject.doStream` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.streamObject.doStream"`
   - `ai.prompt.format`: the format of the prompt
@@ -166,6 +181,7 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
   - `ai.response.object`: the object that was generated (stringified JSON)
   - `ai.response.msToFirstChunk`: the time it took to receive the first chunk
   - `ai.response.finishReason`: the reason why the generation finished
+
 - `ai.stream.firstChunk` (event): an event that is emitted when the first chunk of the stream is received.
   - `ai.response.msToFirstChunk`: the time it took to receive the first chunk
 
@@ -173,14 +189,17 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
 
 `embed` records 2 types of spans:
 
-- `ai.embed`: the full length of the embed call. It contains 1 `ai.embed.doEmbed` spans.
+- `ai.embed` (span): the full length of the embed call. It contains 1 `ai.embed.doEmbed` spans.
   It contains the [basic embedding span information](#basic-embedding-span-information) and the following attributes:
+
   - `operation.name`: `ai.embed` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.embed"`
   - `ai.value`: the value that was passed into the `embed` function
   - `ai.embedding`: a JSON-stringified embedding
-- `ai.embed.doEmbed`: a provider doEmbed call.
+
+- `ai.embed.doEmbed` (span): a provider doEmbed call.
   It contains the [basic embedding span information](#basic-embedding-span-information) and the following attributes:
+
   - `operation.name`: `ai.embed.doEmbed` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.embed.doEmbed"`
   - `ai.values`: the values that were passed into the provider (array)
@@ -190,14 +209,17 @@ It also records a `ai.stream.firstChunk` event when the first chunk of the strea
 
 `embedMany` records 2 types of spans:
 
-- `ai.embedMany`: the full length of the embedMany call. It contains 1 or more `ai.embedMany.doEmbed` spans.
+- `ai.embedMany` (span): the full length of the embedMany call. It contains 1 or more `ai.embedMany.doEmbed` spans.
   It contains the [basic embedding span information](#basic-embedding-span-information) and the following attributes:
+
   - `operation.name`: `ai.embedMany` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.embedMany"`
   - `ai.values`: the values that were passed into the `embedMany` function
   - `ai.embeddings`: an array of JSON-stringified embedding
-- `ai.embedMany.doEmbed`: a provider doEmbed call.
+
+- `ai.embedMany.doEmbed` (span): a provider doEmbed call.
   It contains the [basic embedding span information](#basic-embedding-span-information) and the following attributes:
+
   - `operation.name`: `ai.embedMany.doEmbed` and the functionId that was set through `telemetry.functionId`
   - `ai.operationId`: `"ai.embedMany.doEmbed"`
   - `ai.values`: the values that were sent to the provider
@@ -219,6 +241,15 @@ Many spans that use LLMs (`ai.generateText`, `ai.generateText.doGenerate`, `ai.s
 - `ai.telemetry.metadata.*`: the metadata that was passed in through `telemetry.metadata`
 - `ai.usage.completionTokens`: the number of completion tokens that were used
 - `ai.usage.promptTokens`: the number of prompt tokens that were used
+
+### Call LLM span information
+
+Spans that correspond to individual LLM calls (`ai.generateText.doGenerate`, `ai.streamText.doStream`, `ai.generateObject.doGenerate`, `ai.streamObject.doStream`) contain
+[basic LLM span information](#basic-llm-span-information) and the following attributes:
+
+- `ai.response.model`: the model that was used to generate the response. This can be different from the model that was requested if the provider supports aliases.
+- `ai.response.id`: the id of the response. Uses the ID from the provider when available.
+- `ai.response.timestamp`: the timestamp of the response. Uses the timestamp from the provider when available.
 - [Semantic Conventions for GenAI operations](https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/)
   - `gen_ai.system`: the provider that was used
   - `gen_ai.request.model`: the model that was requested
@@ -230,6 +261,8 @@ Many spans that use LLMs (`ai.generateText`, `ai.generateText.doGenerate`, `ai.s
   - `gen_ai.request.top_p`: the topP parameter value that was set
   - `gen_ai.request.stop_sequences`: the stop sequences
   - `gen_ai.response.finish_reasons`: the finish reasons that were returned by the provider
+  - `gen_ai.response.model`: the model that was used to generate the response. This can be different from the model that was requested if the provider supports aliases.
+  - `gen_ai.response.id`: the id of the response. Uses the ID from the provider when available.
   - `gen_ai.usage.input_tokens`: the number of prompt tokens that were used
   - `gen_ai.usage.output_tokens`: the number of completion tokens that were used
 
diff --git a/content/docs/07-reference/ai-sdk-core/01-generate-text.mdx b/content/docs/07-reference/ai-sdk-core/01-generate-text.mdx
index bc3a66a91847..38da8f0914b5 100644
--- a/content/docs/07-reference/ai-sdk-core/01-generate-text.mdx
+++ b/content/docs/07-reference/ai-sdk-core/01-generate-text.mdx
@@ -457,19 +457,37 @@ To see `generateText` in action, check out [these examples](#examples).
       ],
     },
     {
-      name: 'rawResponse',
-      type: 'RawResponse',
+      name: 'response',
+      type: 'Response',
       optional: true,
-      description: 'Optional raw response data.',
+      description: 'Response metadata.',
       properties: [
         {
-          type: 'RawResponse',
+          type: 'Response',
           parameters: [
+            {
+              name: 'id',
+              type: 'string',
+              description:
+                'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+            },
+            {
+              name: 'model',
+              type: 'string',
+              description:
+                'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+            },
+            {
+              name: 'timestamp',
+              type: 'Date',
+              description:
+                'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+            },
             {
               name: 'headers',
               optional: true,
               type: 'Record<string, string>',
-              description: 'Response headers.',
+              description: 'Optional response headers.',
             },
           ],
         },
@@ -552,19 +570,37 @@ To see `generateText` in action, check out [these examples](#examples).
               ],
             },
             {
-              name: 'rawResponse',
-              type: 'RawResponse',
+              name: 'response',
+              type: 'Response',
               optional: true,
-              description: 'Optional raw response data.',
+              description: 'Response metadata.',
               properties: [
                 {
-                  type: 'RawResponse',
+                  type: 'Response',
                   parameters: [
+                    {
+                      name: 'id',
+                      type: 'string',
+                      description:
+                        'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+                    },
+                    {
+                      name: 'model',
+                      type: 'string',
+                      description:
+                        'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+                    },
+                    {
+                      name: 'timestamp',
+                      type: 'Date',
+                      description:
+                        'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+                    },
                     {
                       name: 'headers',
                       optional: true,
                       type: 'Record<string, string>',
-                      description: 'Response headers.',
+                      description: 'Optional response headers.',
                     },
                   ],
                 },
diff --git a/content/docs/07-reference/ai-sdk-core/02-stream-text.mdx b/content/docs/07-reference/ai-sdk-core/02-stream-text.mdx
index 40c69ae7a08f..70f106585c60 100644
--- a/content/docs/07-reference/ai-sdk-core/02-stream-text.mdx
+++ b/content/docs/07-reference/ai-sdk-core/02-stream-text.mdx
@@ -630,18 +630,37 @@ To see `streamText` in action, check out [these examples](#examples).
                 'Warnings from the model provider (e.g. unsupported settings).',
             },
             {
-              name: 'rawResponse',
-              type: 'RawResponse',
-              description: 'Optional raw response data.',
+              name: 'response',
+              type: 'Response',
+              optional: true,
+              description: 'Response metadata.',
               properties: [
                 {
-                  type: 'RawResponse',
+                  type: 'Response',
                   parameters: [
+                    {
+                      name: 'id',
+                      type: 'string',
+                      description:
+                        'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+                    },
+                    {
+                      name: 'model',
+                      type: 'string',
+                      description:
+                        'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+                    },
+                    {
+                      name: 'timestamp',
+                      type: 'Date',
+                      description:
+                        'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+                    },
                     {
                       name: 'headers',
                       optional: true,
                       type: 'Record<string, string>',
-                      description: 'Response headers.',
+                      description: 'Optional response headers.',
                     },
                   ],
                 },
@@ -717,19 +736,37 @@ To see `streamText` in action, check out [these examples](#examples).
         'The tool results that have been generated. Resolved when the all tool executions are finished.',
     },
     {
-      name: 'rawResponse',
-      type: 'RawResponse',
+      name: 'response',
+      type: 'Promise<Response>',
       optional: true,
-      description: 'Optional raw response data.',
+      description: 'Response metadata. Resolved when the response is finished.',
       properties: [
         {
-          type: 'RawResponse',
+          type: 'Response',
           parameters: [
+            {
+              name: 'id',
+              type: 'string',
+              description:
+                'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+            },
+            {
+              name: 'model',
+              type: 'string',
+              description:
+                'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+            },
+            {
+              name: 'timestamp',
+              type: 'Date',
+              description:
+                'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+            },
             {
               name: 'headers',
               optional: true,
               type: 'Record<string, string>',
-              description: 'Response headers.',
+              description: 'Optional response headers.',
             },
           ],
         },
@@ -936,6 +973,37 @@ To see `streamText` in action, check out [these examples](#examples).
                 },
               ],
             },
+            {
+              name: 'response',
+              type: 'Response',
+              optional: true,
+              description: 'Response metadata.',
+              properties: [
+                {
+                  type: 'Response',
+                  parameters: [
+                    {
+                      name: 'id',
+                      type: 'string',
+                      description:
+                        'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+                    },
+                    {
+                      name: 'model',
+                      type: 'string',
+                      description:
+                        'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+                    },
+                    {
+                      name: 'timestamp',
+                      type: 'Date',
+                      description:
+                        'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+                    },
+                  ],
+                },
+              ],
+            },
           ],
         },
         {
@@ -979,6 +1047,37 @@ To see `streamText` in action, check out [these examples](#examples).
                 },
               ],
             },
+            {
+              name: 'response',
+              type: 'Response',
+              optional: true,
+              description: 'Response metadata.',
+              properties: [
+                {
+                  type: 'Response',
+                  parameters: [
+                    {
+                      name: 'id',
+                      type: 'string',
+                      description:
+                        'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+                    },
+                    {
+                      name: 'model',
+                      type: 'string',
+                      description:
+                        'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+                    },
+                    {
+                      name: 'timestamp',
+                      type: 'Date',
+                      description:
+                        'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+                    },
+                  ],
+                },
+              ],
+            },
           ],
         },
       ],
diff --git a/content/docs/07-reference/ai-sdk-core/03-generate-object.mdx b/content/docs/07-reference/ai-sdk-core/03-generate-object.mdx
index e9870a26ed34..a2deedcd1e1e 100644
--- a/content/docs/07-reference/ai-sdk-core/03-generate-object.mdx
+++ b/content/docs/07-reference/ai-sdk-core/03-generate-object.mdx
@@ -478,19 +478,37 @@ To see `generateObject` in action, check out the [additional examples](#more-exa
       ],
     },
     {
-      name: 'rawResponse',
-      type: 'RawResponse',
+      name: 'response',
+      type: 'Response',
       optional: true,
-      description: 'Optional raw response data.',
+      description: 'Response metadata.',
       properties: [
         {
-          type: 'RawResponse',
+          type: 'Response',
           parameters: [
+            {
+              name: 'id',
+              type: 'string',
+              description:
+                'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+            },
+            {
+              name: 'model',
+              type: 'string',
+              description:
+                'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+            },
+            {
+              name: 'timestamp',
+              type: 'Date',
+              description:
+                'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+            },
             {
               name: 'headers',
               optional: true,
               type: 'Record<string, string>',
-              description: 'Response headers.',
+              description: 'Optional response headers.',
             },
           ],
         },
diff --git a/content/docs/07-reference/ai-sdk-core/04-stream-object.mdx b/content/docs/07-reference/ai-sdk-core/04-stream-object.mdx
index 5e974d97c60e..b47e8883d387 100644
--- a/content/docs/07-reference/ai-sdk-core/04-stream-object.mdx
+++ b/content/docs/07-reference/ai-sdk-core/04-stream-object.mdx
@@ -508,18 +508,37 @@ To see `streamObject` in action, check out the [additional examples](#more-examp
                 'Warnings from the model provider (e.g. unsupported settings).',
             },
             {
-              name: 'rawResponse',
-              type: 'RawResponse',
-              description: 'Optional raw response data.',
+              name: 'response',
+              type: 'Response',
+              optional: true,
+              description: 'Response metadata.',
               properties: [
                 {
-                  type: 'RawResponse',
+                  type: 'Response',
                   parameters: [
+                    {
+                      name: 'id',
+                      type: 'string',
+                      description:
+                        'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+                    },
+                    {
+                      name: 'model',
+                      type: 'string',
+                      description:
+                        'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+                    },
+                    {
+                      name: 'timestamp',
+                      type: 'Date',
+                      description:
+                        'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+                    },
                     {
                       name: 'headers',
                       optional: true,
                       type: 'Record<string, string>',
-                      description: 'Response headers.',
+                      description: 'Optional response headers.',
                     },
                   ],
                 },
@@ -662,24 +681,73 @@ To see `streamObject` in action, check out the [additional examples](#more-examp
               type: 'Usage',
               description: 'Token usage.',
             },
+            {
+              name: 'response',
+              type: 'Response',
+              optional: true,
+              description: 'Response metadata.',
+              properties: [
+                {
+                  type: 'Response',
+                  parameters: [
+                    {
+                      name: 'id',
+                      type: 'string',
+                      description:
+                        'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+                    },
+                    {
+                      name: 'model',
+                      type: 'string',
+                      description:
+                        'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+                    },
+                    {
+                      name: 'timestamp',
+                      type: 'Date',
+                      description:
+                        'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+                    },
+                  ],
+                },
+              ],
+            },
           ],
         },
       ],
     },
     {
-      name: 'rawResponse',
-      type: 'RawResponse',
+      name: 'response',
+      type: 'Promise<Response>',
       optional: true,
-      description: 'Optional raw response data.',
+      description: 'Response metadata. Resolved when the response is finished.',
       properties: [
         {
-          type: 'RawResponse',
+          type: 'Response',
           parameters: [
+            {
+              name: 'id',
+              type: 'string',
+              description:
+                'The response identifier. The AI SDK uses the ID from the provider response when available, and generates an ID otherwise.',
+            },
+            {
+              name: 'model',
+              type: 'string',
+              description:
+                'The model that was used to generate the response. The AI SDK uses the response model from the provider response when available, and the model from the function call otherwise.',
+            },
+            {
+              name: 'timestamp',
+              type: 'Date',
+              description:
+                'The timestamp of the response. The AI SDK uses the response timestamp from the provider response when available, and creates a timestamp otherwise.',
+            },
             {
               name: 'headers',
               optional: true,
               type: 'Record<string, string>',
-              description: 'Response headers.',
+              description: 'Optional response headers.',
             },
           ],
         },
diff --git a/examples/ai-core/src/generate-object/openai-full-json.ts b/examples/ai-core/src/generate-object/openai-full-json.ts
deleted file mode 100644
index 75853dfecef9..000000000000
--- a/examples/ai-core/src/generate-object/openai-full-json.ts
+++ /dev/null
@@ -1,30 +0,0 @@
-import { openai } from '@ai-sdk/openai';
-import { generateObject } from 'ai';
-import dotenv from 'dotenv';
-import { z } from 'zod';
-
-dotenv.config();
-
-async function main() {
-  const result = await generateObject({
-    model: openai('gpt-4-turbo', { logprobs: 2 }),
-    schema: z.object({
-      characters: z.array(
-        z.object({
-          name: z.string(),
-          class: z
-            .string()
-            .describe('Character class, e.g. warrior, mage, or thief.'),
-          description: z.string(),
-        }),
-      ),
-    }),
-    mode: 'json',
-    prompt:
-      'Generate 3 character descriptions for a fantasy role playing game.',
-  });
-
-  console.log(result);
-}
-
-main().catch(console.error);
diff --git a/examples/ai-core/src/generate-object/openai-full-result.ts b/examples/ai-core/src/generate-object/openai-full-result.ts
new file mode 100644
index 000000000000..4f9e7d2fce96
--- /dev/null
+++ b/examples/ai-core/src/generate-object/openai-full-result.ts
@@ -0,0 +1,24 @@
+import { openai } from '@ai-sdk/openai';
+import { generateObject } from 'ai';
+import 'dotenv/config';
+import { z } from 'zod';
+
+async function main() {
+  const result = await generateObject({
+    model: openai('gpt-4o-mini', { structuredOutputs: true }),
+    schema: z.object({
+      recipe: z.object({
+        name: z.string(),
+        ingredients: z.array(
+          z.object({ name: z.string(), amount: z.string() }),
+        ),
+        steps: z.array(z.string()),
+      }),
+    }),
+    prompt: 'Generate a lasagna recipe.',
+  });
+
+  console.log(JSON.stringify(result, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-object/openai.ts b/examples/ai-core/src/generate-object/openai.ts
index cc62e8c14026..0fd3b628a633 100644
--- a/examples/ai-core/src/generate-object/openai.ts
+++ b/examples/ai-core/src/generate-object/openai.ts
@@ -7,9 +7,7 @@ dotenv.config();
 
 async function main() {
   const result = await generateObject({
-    model: openai('gpt-4o-2024-08-06', {
-      structuredOutputs: true,
-    }),
+    model: openai('gpt-4o-mini', { structuredOutputs: true }),
     schema: z.object({
       recipe: z.object({
         name: z.string(),
diff --git a/examples/ai-core/src/generate-text/anthropic-full-result.ts b/examples/ai-core/src/generate-text/anthropic-full-result.ts
new file mode 100644
index 000000000000..75fdd09823d7
--- /dev/null
+++ b/examples/ai-core/src/generate-text/anthropic-full-result.ts
@@ -0,0 +1,14 @@
+import { anthropic } from '@ai-sdk/anthropic';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: anthropic('claude-3-5-sonnet-20240620'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  console.log(JSON.stringify(result, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/mistral-full-result.ts b/examples/ai-core/src/generate-text/mistral-full-result.ts
new file mode 100644
index 000000000000..80f11ece1fc5
--- /dev/null
+++ b/examples/ai-core/src/generate-text/mistral-full-result.ts
@@ -0,0 +1,14 @@
+import { mistral } from '@ai-sdk/mistral';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: mistral('open-mistral-7b'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  console.log(JSON.stringify(result, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/generate-text/openai-full-result.ts b/examples/ai-core/src/generate-text/openai-full-result.ts
new file mode 100644
index 000000000000..a5f68cf5a363
--- /dev/null
+++ b/examples/ai-core/src/generate-text/openai-full-result.ts
@@ -0,0 +1,14 @@
+import { openai } from '@ai-sdk/openai';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: openai('gpt-4o-mini'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  console.log(JSON.stringify(result, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/cohere-response.ts b/examples/ai-core/src/stream-text/cohere-response.ts
new file mode 100644
index 000000000000..45d0420ec65a
--- /dev/null
+++ b/examples/ai-core/src/stream-text/cohere-response.ts
@@ -0,0 +1,20 @@
+import 'dotenv/config';
+import { cohere } from '@ai-sdk/cohere';
+import { streamText } from 'ai';
+
+async function main() {
+  const result = await streamText({
+    model: cohere('command-r-plus'),
+    maxTokens: 512,
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+
+  console.log();
+  console.log(JSON.stringify(await result.response, null, 2));
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/openai-fullstream-raw.ts b/examples/ai-core/src/stream-text/openai-fullstream-raw.ts
new file mode 100644
index 000000000000..efa66a1b0479
--- /dev/null
+++ b/examples/ai-core/src/stream-text/openai-fullstream-raw.ts
@@ -0,0 +1,16 @@
+import { openai } from '@ai-sdk/openai';
+import { streamText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await streamText({
+    model: openai('gpt-4o-mini'),
+    prompt: 'Invent a new holiday and describe its traditions.',
+  });
+
+  for await (const part of result.fullStream) {
+    console.log(JSON.stringify(part));
+  }
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/stream-text/openai-response-headers.ts b/examples/ai-core/src/stream-text/openai-response.ts
similarity index 64%
rename from examples/ai-core/src/stream-text/openai-response-headers.ts
rename to examples/ai-core/src/stream-text/openai-response.ts
index 011c20131e72..2169c5a03cbf 100644
--- a/examples/ai-core/src/stream-text/openai-response-headers.ts
+++ b/examples/ai-core/src/stream-text/openai-response.ts
@@ -1,24 +1,20 @@
+import 'dotenv/config';
 import { openai } from '@ai-sdk/openai';
 import { streamText } from 'ai';
-import dotenv from 'dotenv';
-
-dotenv.config();
 
 async function main() {
   const result = await streamText({
-    model: openai('gpt-3.5-turbo'),
+    model: openai('gpt-4o-mini'),
     maxTokens: 512,
-    temperature: 0.3,
-    maxRetries: 5,
     prompt: 'Invent a new holiday and describe its traditions.',
   });
 
-  console.log(`Request ID: ${result.rawResponse?.headers?.['x-request-id']}`);
-  console.log();
-
   for await (const textPart of result.textStream) {
     process.stdout.write(textPart);
   }
+
+  console.log();
+  console.log(JSON.stringify(await result.response, null, 2));
 }
 
 main().catch(console.error);
diff --git a/examples/ai-core/src/telemetry/generate-object.ts b/examples/ai-core/src/telemetry/generate-object.ts
new file mode 100644
index 000000000000..e617394d3400
--- /dev/null
+++ b/examples/ai-core/src/telemetry/generate-object.ts
@@ -0,0 +1,48 @@
+import 'dotenv/config';
+
+import { openai } from '@ai-sdk/openai';
+import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
+import { NodeSDK } from '@opentelemetry/sdk-node';
+import { ConsoleSpanExporter } from '@opentelemetry/sdk-trace-node';
+import { generateObject } from 'ai';
+import { z } from 'zod';
+
+const sdk = new NodeSDK({
+  traceExporter: new ConsoleSpanExporter(),
+  instrumentations: [getNodeAutoInstrumentations()],
+});
+
+sdk.start();
+
+async function main() {
+  const result = await generateObject({
+    model: openai('gpt-4o-mini', { structuredOutputs: true }),
+    schema: z.object({
+      recipe: z.object({
+        name: z.string(),
+        ingredients: z.array(
+          z.object({
+            name: z.string(),
+            amount: z.string(),
+          }),
+        ),
+        steps: z.array(z.string()),
+      }),
+    }),
+    prompt: 'Generate a lasagna recipe.',
+    experimental_telemetry: {
+      isEnabled: true,
+      functionId: 'my-awesome-function',
+      metadata: {
+        something: 'custom',
+        someOtherThing: 'other-value',
+      },
+    },
+  });
+
+  console.log(JSON.stringify(result.object.recipe, null, 2));
+
+  await sdk.shutdown();
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/telemetry/generate-text.ts b/examples/ai-core/src/telemetry/generate-text.ts
index f820380a4b79..6a3f7efe9a4f 100644
--- a/examples/ai-core/src/telemetry/generate-text.ts
+++ b/examples/ai-core/src/telemetry/generate-text.ts
@@ -17,7 +17,7 @@ sdk.start();
 
 async function main() {
   const result = await generateText({
-    model: openai('gpt-3.5-turbo'),
+    model: openai('gpt-4o'),
     maxTokens: 50,
     prompt: 'Invent a new holiday and describe its traditions.',
     experimental_telemetry: {
diff --git a/examples/ai-core/src/telemetry/stream-object.ts b/examples/ai-core/src/telemetry/stream-object.ts
new file mode 100644
index 000000000000..e069a87bcdcd
--- /dev/null
+++ b/examples/ai-core/src/telemetry/stream-object.ts
@@ -0,0 +1,51 @@
+import 'dotenv/config';
+
+import { openai } from '@ai-sdk/openai';
+import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
+import { NodeSDK } from '@opentelemetry/sdk-node';
+import { ConsoleSpanExporter } from '@opentelemetry/sdk-trace-node';
+import { streamObject } from 'ai';
+import { z } from 'zod';
+
+const sdk = new NodeSDK({
+  traceExporter: new ConsoleSpanExporter(),
+  instrumentations: [getNodeAutoInstrumentations()],
+});
+
+sdk.start();
+
+async function main() {
+  const result = await streamObject({
+    model: openai('gpt-4o-mini', { structuredOutputs: true }),
+    schema: z.object({
+      recipe: z.object({
+        name: z.string(),
+        ingredients: z.array(
+          z.object({
+            name: z.string(),
+            amount: z.string(),
+          }),
+        ),
+        steps: z.array(z.string()),
+      }),
+    }),
+    prompt: 'Generate a lasagna recipe.',
+    experimental_telemetry: {
+      isEnabled: true,
+      functionId: 'my-awesome-function',
+      metadata: {
+        something: 'custom',
+        someOtherThing: 'other-value',
+      },
+    },
+  });
+
+  for await (const partialObject of result.partialObjectStream) {
+    console.clear();
+    console.log(partialObject);
+  }
+
+  await sdk.shutdown();
+}
+
+main().catch(console.error);
diff --git a/examples/ai-core/src/telemetry/stream-text.ts b/examples/ai-core/src/telemetry/stream-text.ts
index 6e6513d40de8..78fb4c06c1a1 100644
--- a/examples/ai-core/src/telemetry/stream-text.ts
+++ b/examples/ai-core/src/telemetry/stream-text.ts
@@ -1,12 +1,9 @@
-import { openai } from '@ai-sdk/openai';
-import { streamText } from 'ai';
-import dotenv from 'dotenv';
-
-dotenv.config();
-
+import { anthropic } from '@ai-sdk/anthropic';
 import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
 import { NodeSDK } from '@opentelemetry/sdk-node';
 import { ConsoleSpanExporter } from '@opentelemetry/sdk-trace-node';
+import { streamText } from 'ai';
+import 'dotenv/config';
 
 const sdk = new NodeSDK({
   traceExporter: new ConsoleSpanExporter(),
@@ -17,7 +14,7 @@ sdk.start();
 
 async function main() {
   const result = await streamText({
-    model: openai('gpt-3.5-turbo'),
+    model: anthropic('claude-3-5-sonnet-20240620'),
     maxTokens: 50,
     prompt: 'Invent a new holiday and describe its traditions.',
     experimental_telemetry: {
diff --git a/packages/ai/core/embed/embed-many-result.ts b/packages/ai/core/embed/embed-many-result.ts
index d79039fd740c..ec08a686bc98 100644
--- a/packages/ai/core/embed/embed-many-result.ts
+++ b/packages/ai/core/embed/embed-many-result.ts
@@ -1,5 +1,5 @@
 import { Embedding } from '../types';
-import { EmbeddingTokenUsage } from '../types/token-usage';
+import { EmbeddingModelUsage } from '../types/usage';
 
 /**
 The result of a `embedMany` call.
@@ -19,5 +19,5 @@ export interface EmbedManyResult<VALUE> {
   /**
   The embedding token usage.
     */
-  readonly usage: EmbeddingTokenUsage;
+  readonly usage: EmbeddingModelUsage;
 }
diff --git a/packages/ai/core/embed/embed-result.ts b/packages/ai/core/embed/embed-result.ts
index e915ac197bab..8fe139af5ac6 100644
--- a/packages/ai/core/embed/embed-result.ts
+++ b/packages/ai/core/embed/embed-result.ts
@@ -1,5 +1,5 @@
 import { Embedding } from '../types';
-import { EmbeddingTokenUsage } from '../types/token-usage';
+import { EmbeddingModelUsage } from '../types/usage';
 
 /**
 The result of a `embed` call.
@@ -19,7 +19,7 @@ export interface EmbedResult<VALUE> {
   /**
   The embedding token usage.
     */
-  readonly usage: EmbeddingTokenUsage;
+  readonly usage: EmbeddingModelUsage;
 
   /**
   Optional raw response data.
diff --git a/packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap b/packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap
index fffc663464d7..512c807b39de 100644
--- a/packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap
+++ b/packages/ai/core/generate-object/__snapshots__/generate-object.test.ts.snap
@@ -25,6 +25,9 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "ai.model.provider": "mock-provider",
       "ai.operationId": "ai.generateObject.doGenerate",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id-from-model",
+      "ai.response.model": "test-response-model-id",
+      "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.settings.mode": "json",
       "ai.usage.completionTokens": 20,
       "ai.usage.promptTokens": 10,
@@ -32,6 +35,8 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id-from-model",
+      "gen_ai.response.model": "test-response-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.completion_tokens": 20,
       "gen_ai.usage.prompt_tokens": 10,
@@ -68,6 +73,9 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "ai.model.provider": "mock-provider",
       "ai.operationId": "ai.generateObject.doGenerate",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id-from-model",
+      "ai.response.model": "test-response-model-id",
+      "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.settings.mode": "tool",
       "ai.usage.completionTokens": 20,
       "ai.usage.promptTokens": 10,
@@ -75,6 +83,8 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id-from-model",
+      "gen_ai.response.model": "test-response-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
@@ -132,7 +142,10 @@ exports[`telemetry > should record telemetry data when enabled with mode "json"
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id-from-model",
+      "ai.response.model": "test-response-model-id",
       "ai.response.object": "{ "content": "Hello, world!" }",
+      "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.result.object": "{ "content": "Hello, world!" }",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.mode": "json",
@@ -154,6 +167,8 @@ exports[`telemetry > should record telemetry data when enabled with mode "json"
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id-from-model",
+      "gen_ai.response.model": "test-response-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.completion_tokens": 20,
       "gen_ai.usage.prompt_tokens": 10,
@@ -212,7 +227,10 @@ exports[`telemetry > should record telemetry data when enabled with mode "tool"
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id-from-model",
+      "ai.response.model": "test-response-model-id",
       "ai.response.object": "{ "content": "Hello, world!" }",
+      "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.result.object": "{ "content": "Hello, world!" }",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.mode": "tool",
@@ -234,6 +252,8 @@ exports[`telemetry > should record telemetry data when enabled with mode "tool"
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id-from-model",
+      "gen_ai.response.model": "test-response-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
diff --git a/packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap b/packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap
index 9fbd25de7d45..1b26878fc276 100644
--- a/packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap
+++ b/packages/ai/core/generate-object/__snapshots__/stream-object.test.ts.snap
@@ -1,5 +1,132 @@
 // Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
 
+exports[`output = "object" > options.onFinish > should be called when a valid object is generated 1`] = `
+{
+  "error": undefined,
+  "experimental_providerMetadata": {
+    "testProvider": {
+      "testKey": "testValue",
+    },
+  },
+  "object": {
+    "content": "Hello, world!",
+  },
+  "rawResponse": undefined,
+  "response": {
+    "headers": undefined,
+    "id": "id-0",
+    "modelId": "mock-model-id",
+    "timestamp": 1970-01-01T00:00:00.000Z,
+  },
+  "usage": {
+    "completionTokens": 10,
+    "promptTokens": 3,
+    "totalTokens": 13,
+  },
+  "warnings": undefined,
+}
+`;
+
+exports[`output = "object" > options.onFinish > should be called when object doesn't match the schema 1`] = `
+{
+  "error": [AI_TypeValidationError: Type validation failed: Value: {"invalid":"Hello, world!"}.
+Error message: [
+  {
+    "code": "invalid_type",
+    "expected": "string",
+    "received": "undefined",
+    "path": [
+      "content"
+    ],
+    "message": "Required"
+  }
+]],
+  "experimental_providerMetadata": undefined,
+  "object": undefined,
+  "rawResponse": undefined,
+  "response": {
+    "headers": undefined,
+    "id": "id-0",
+    "modelId": "mock-model-id",
+    "timestamp": 1970-01-01T00:00:00.000Z,
+  },
+  "usage": {
+    "completionTokens": 10,
+    "promptTokens": 3,
+    "totalTokens": 13,
+  },
+  "warnings": undefined,
+}
+`;
+
+exports[`output = "object" > result.fullStream > should send full stream data 1`] = `
+[
+  {
+    "object": {},
+    "type": "object",
+  },
+  {
+    "textDelta": "{ ",
+    "type": "text-delta",
+  },
+  {
+    "object": {
+      "content": "Hello, ",
+    },
+    "type": "object",
+  },
+  {
+    "textDelta": ""content": "Hello, ",
+    "type": "text-delta",
+  },
+  {
+    "object": {
+      "content": "Hello, world",
+    },
+    "type": "object",
+  },
+  {
+    "textDelta": "world",
+    "type": "text-delta",
+  },
+  {
+    "object": {
+      "content": "Hello, world!",
+    },
+    "type": "object",
+  },
+  {
+    "textDelta": "!"",
+    "type": "text-delta",
+  },
+  {
+    "textDelta": " }",
+    "type": "text-delta",
+  },
+  {
+    "finishReason": "stop",
+    "logprobs": [
+      {
+        "logprob": 1,
+        "token": "-",
+        "topLogprobs": [],
+      },
+    ],
+    "response": {
+      "id": "id-0",
+      "modelId": "mock-model-id",
+      "timestamp": 1970-01-01T00:00:00.000Z,
+    },
+    "type": "finish",
+    "usage": {
+      "completionTokens": 10,
+      "promptTokens": 2,
+      "totalTokens": 12,
+    },
+  },
+]
+`;
+
 exports[`telemetry > should not record any telemetry data when not explicitly enabled 1`] = `[]`;
 
 exports[`telemetry > should not record telemetry inputs / outputs when disabled with mode "json" 1`] = `
@@ -25,6 +152,9 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "ai.model.provider": "mock-provider",
       "ai.operationId": "ai.streamObject.doStream",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.settings.mode": "json",
       "ai.stream.msToFirstChunk": 0,
       "ai.usage.completionTokens": 10,
@@ -33,6 +163,8 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 3,
       "gen_ai.usage.output_tokens": 10,
@@ -74,6 +206,9 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "ai.model.provider": "mock-provider",
       "ai.operationId": "ai.streamObject.doStream",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.settings.mode": "tool",
       "ai.stream.msToFirstChunk": 0,
       "ai.usage.completionTokens": 10,
@@ -82,6 +217,8 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 3,
       "gen_ai.usage.output_tokens": 10,
@@ -144,7 +281,10 @@ exports[`telemetry > should record telemetry data when enabled with mode "json"
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
       "ai.response.object": "{"content":"Hello, world!"}",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.result.object": "{"content":"Hello, world!"}",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.mode": "json",
@@ -167,6 +307,8 @@ exports[`telemetry > should record telemetry data when enabled with mode "json"
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 3,
       "gen_ai.usage.output_tokens": 10,
@@ -230,7 +372,10 @@ exports[`telemetry > should record telemetry data when enabled with mode "tool"
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
       "ai.response.object": "{"content":"Hello, world!"}",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.result.object": "{"content":"Hello, world!"}",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.mode": "tool",
@@ -253,6 +398,8 @@ exports[`telemetry > should record telemetry data when enabled with mode "tool"
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 3,
       "gen_ai.usage.output_tokens": 10,
diff --git a/packages/ai/core/generate-object/generate-object-result.ts b/packages/ai/core/generate-object/generate-object-result.ts
index f77f53f6b780..a70c748518f4 100644
--- a/packages/ai/core/generate-object/generate-object-result.ts
+++ b/packages/ai/core/generate-object/generate-object-result.ts
@@ -1,10 +1,11 @@
 import {
   CallWarning,
   FinishReason,
+  LanguageModelResponseMetadataWithHeaders,
   LogProbs,
   ProviderMetadata,
 } from '../types';
-import { CompletionTokenUsage } from '../types/token-usage';
+import { LanguageModelUsage } from '../types/usage';
 
 /**
 The result of a `generateObject` call.
@@ -23,7 +24,7 @@ export interface GenerateObjectResult<T> {
   /**
   The token usage of the generated text.
      */
-  readonly usage: CompletionTokenUsage;
+  readonly usage: LanguageModelUsage;
 
   /**
   Warnings from the model provider (e.g. unsupported settings)
@@ -31,7 +32,9 @@ export interface GenerateObjectResult<T> {
   readonly warnings: CallWarning[] | undefined;
 
   /**
-  Optional raw response data.
+ Optional raw response data.
+
+@deprecated Use `response.headers` instead.
      */
   readonly rawResponse?: {
     /**
@@ -41,8 +44,15 @@ export interface GenerateObjectResult<T> {
   };
 
   /**
-  Logprobs for the completion.
-  `undefined` if the mode does not support logprobs or if was not enabled
+Additional response information.
+   */
+  readonly response: LanguageModelResponseMetadataWithHeaders;
+
+  /**
+ Logprobs for the completion.
+`undefined` if the mode does not support logprobs or if was not enabled.
+
+@deprecated Will become a provider extension in the future.
      */
   readonly logprobs: LogProbs | undefined;
 
diff --git a/packages/ai/core/generate-object/generate-object.test.ts b/packages/ai/core/generate-object/generate-object.test.ts
index e5ef35d74b04..5def6db7099c 100644
--- a/packages/ai/core/generate-object/generate-object.test.ts
+++ b/packages/ai/core/generate-object/generate-object.test.ts
@@ -222,6 +222,81 @@ describe('output = "object"', () => {
     });
   });
 
+  describe('result.response', () => {
+    it('should contain response information with json mode', async () => {
+      const result = await generateObject({
+        model: new MockLanguageModelV1({
+          doGenerate: async () => ({
+            ...dummyResponseValues,
+            text: `{ "content": "Hello, world!" }`,
+            response: {
+              id: 'test-id-from-model',
+              timestamp: new Date(10000),
+              modelId: 'test-response-model-id',
+            },
+            rawResponse: {
+              headers: {
+                'custom-response-header': 'response-header-value',
+              },
+            },
+          }),
+        }),
+        schema: z.object({ content: z.string() }),
+        mode: 'json',
+        prompt: 'prompt',
+      });
+
+      expect(result.response).toStrictEqual({
+        id: 'test-id-from-model',
+        timestamp: new Date(10000),
+        modelId: 'test-response-model-id',
+        headers: {
+          'custom-response-header': 'response-header-value',
+        },
+      });
+    });
+
+    it('should contain response information with tool mode', async () => {
+      const result = await generateObject({
+        model: new MockLanguageModelV1({
+          doGenerate: async () => ({
+            ...dummyResponseValues,
+            toolCalls: [
+              {
+                toolCallType: 'function',
+                toolCallId: 'tool-call-1',
+                toolName: 'json',
+                args: `{ "content": "Hello, world!" }`,
+              },
+            ],
+            response: {
+              id: 'test-id-from-model',
+              timestamp: new Date(10000),
+              modelId: 'test-response-model-id',
+            },
+            rawResponse: {
+              headers: {
+                'custom-response-header': 'response-header-value',
+              },
+            },
+          }),
+        }),
+        schema: z.object({ content: z.string() }),
+        mode: 'tool',
+        prompt: 'prompt',
+      });
+
+      expect(result.response).toStrictEqual({
+        id: 'test-id-from-model',
+        timestamp: new Date(10000),
+        modelId: 'test-response-model-id',
+        headers: {
+          'custom-response-header': 'response-header-value',
+        },
+      });
+    });
+  });
+
   describe('zod schema', () => {
     it('should generate object when using zod transform', async () => {
       const result = await generateObject({
@@ -577,6 +652,11 @@ describe('telemetry', () => {
         doGenerate: async () => ({
           ...dummyResponseValues,
           text: `{ "content": "Hello, world!" }`,
+          response: {
+            id: 'test-id-from-model',
+            timestamp: new Date(10000),
+            modelId: 'test-response-model-id',
+          },
         }),
       }),
       schema: z.object({ content: z.string() }),
@@ -619,6 +699,11 @@ describe('telemetry', () => {
               args: `{ "content": "Hello, world!" }`,
             },
           ],
+          response: {
+            id: 'test-id-from-model',
+            timestamp: new Date(10000),
+            modelId: 'test-response-model-id',
+          },
         }),
       }),
       schema: z.object({ content: z.string() }),
@@ -654,6 +739,11 @@ describe('telemetry', () => {
         doGenerate: async () => ({
           ...dummyResponseValues,
           text: `{ "content": "Hello, world!" }`,
+          response: {
+            id: 'test-id-from-model',
+            timestamp: new Date(10000),
+            modelId: 'test-response-model-id',
+          },
         }),
       }),
       schema: z.object({ content: z.string() }),
@@ -682,6 +772,11 @@ describe('telemetry', () => {
               args: `{ "content": "Hello, world!" }`,
             },
           ],
+          response: {
+            id: 'test-id-from-model',
+            timestamp: new Date(10000),
+            modelId: 'test-response-model-id',
+          },
         }),
       }),
       schema: z.object({ content: z.string() }),
diff --git a/packages/ai/core/generate-object/generate-object.ts b/packages/ai/core/generate-object/generate-object.ts
index 909e3332ede0..979f746a114c 100644
--- a/packages/ai/core/generate-object/generate-object.ts
+++ b/packages/ai/core/generate-object/generate-object.ts
@@ -1,5 +1,5 @@
 import { JSONValue } from '@ai-sdk/provider';
-import { safeParseJSON } from '@ai-sdk/provider-utils';
+import { createIdGenerator, safeParseJSON } from '@ai-sdk/provider-utils';
 import { Schema } from '@ai-sdk/ui-utils';
 import { z } from 'zod';
 import { retryWithExponentialBackoff } from '../../util/retry-with-exponential-backoff';
@@ -18,10 +18,11 @@ import {
   CallWarning,
   FinishReason,
   LanguageModel,
+  LanguageModelResponseMetadata,
   LogProbs,
   ProviderMetadata,
 } from '../types';
-import { calculateCompletionTokenUsage } from '../types/token-usage';
+import { calculateLanguageModelUsage } from '../types/usage';
 import { prepareResponseHeaders } from '../util/prepare-response-headers';
 import { GenerateObjectResult } from './generate-object-result';
 import { injectJsonInstruction } from './inject-json-instruction';
@@ -29,6 +30,8 @@ import { NoObjectGeneratedError } from './no-object-generated-error';
 import { getOutputStrategy } from './output-strategy';
 import { validateObjectGenerationInput } from './validate-object-generation-input';
 
+const originalGenerateId = createIdGenerator({ prefix: 'aiobj-', length: 24 });
+
 /**
 Generate a structured, typed object for a given prompt and schema using a language model.
 
@@ -86,6 +89,14 @@ Optional telemetry configuration (experimental).
        */
 
       experimental_telemetry?: TelemetrySettings;
+
+      /**
+       * Internal. For test use only. May change without notice.
+       */
+      _internal?: {
+        generateId?: () => string;
+        currentDate?: () => Date;
+      };
     },
 ): Promise<GenerateObjectResult<OBJECT>>;
 /**
@@ -144,6 +155,14 @@ Default and recommended: 'auto' (best mode for the model).
 Optional telemetry configuration (experimental).
      */
       experimental_telemetry?: TelemetrySettings;
+
+      /**
+       * Internal. For test use only. May change without notice.
+       */
+      _internal?: {
+        generateId?: () => string;
+        currentDate?: () => Date;
+      };
     },
 ): Promise<GenerateObjectResult<Array<ELEMENT>>>;
 /**
@@ -173,6 +192,14 @@ The mode to use for object generation. Must be "json" for no-schema output.
 Optional telemetry configuration (experimental).
        */
       experimental_telemetry?: TelemetrySettings;
+
+      /**
+       * Internal. For test use only. May change without notice.
+       */
+      _internal?: {
+        generateId?: () => string;
+        currentDate?: () => Date;
+      };
     },
 ): Promise<GenerateObjectResult<JSONValue>>;
 export async function generateObject<SCHEMA, RESULT>({
@@ -189,6 +216,10 @@ export async function generateObject<SCHEMA, RESULT>({
   abortSignal,
   headers,
   experimental_telemetry: telemetry,
+  _internal: {
+    generateId = originalGenerateId,
+    currentDate = () => new Date(),
+  } = {},
   ...settings
 }: Omit<CallSettings, 'stopSequences'> &
   Prompt & {
@@ -209,6 +240,14 @@ export async function generateObject<SCHEMA, RESULT>({
     schemaDescription?: string;
     mode?: 'auto' | 'json' | 'tool';
     experimental_telemetry?: TelemetrySettings;
+
+    /**
+     * Internal. For test use only. May change without notice.
+     */
+    _internal?: {
+      generateId?: () => string;
+      currentDate?: () => Date;
+    };
   }): Promise<GenerateObjectResult<RESULT>> {
   validateObjectGenerationInput({
     output,
@@ -268,9 +307,10 @@ export async function generateObject<SCHEMA, RESULT>({
 
       let result: string;
       let finishReason: FinishReason;
-      let usage: Parameters<typeof calculateCompletionTokenUsage>[0];
+      let usage: Parameters<typeof calculateLanguageModelUsage>[0];
       let warnings: CallWarning[] | undefined;
       let rawResponse: { headers?: Record<string, string> } | undefined;
+      let response: LanguageModelResponseMetadata;
       let logprobs: LogProbs | undefined;
       let providerMetadata: ProviderMetadata | undefined;
 
@@ -347,6 +387,12 @@ export async function generateObject<SCHEMA, RESULT>({
                   throw new NoObjectGeneratedError();
                 }
 
+                const responseData = {
+                  id: result.response?.id ?? generateId(),
+                  timestamp: result.response?.timestamp ?? currentDate(),
+                  modelId: result.response?.modelId ?? model.modelId,
+                };
+
                 // Add response information to the span:
                 span.setAttributes(
                   selectTelemetryAttributes({
@@ -354,6 +400,10 @@ export async function generateObject<SCHEMA, RESULT>({
                     attributes: {
                       'ai.response.finishReason': result.finishReason,
                       'ai.response.object': { output: () => result.text },
+                      'ai.response.id': responseData.id,
+                      'ai.response.model': responseData.modelId,
+                      'ai.response.timestamp':
+                        responseData.timestamp.toISOString(),
 
                       'ai.usage.promptTokens': result.usage.promptTokens,
                       'ai.usage.completionTokens':
@@ -365,6 +415,8 @@ export async function generateObject<SCHEMA, RESULT>({
 
                       // standardized gen-ai llm span attributes:
                       'gen_ai.response.finish_reasons': [result.finishReason],
+                      'gen_ai.response.id': responseData.id,
+                      'gen_ai.response.model': responseData.modelId,
                       'gen_ai.usage.prompt_tokens': result.usage.promptTokens,
                       'gen_ai.usage.completion_tokens':
                         result.usage.completionTokens,
@@ -372,7 +424,7 @@ export async function generateObject<SCHEMA, RESULT>({
                   }),
                 );
 
-                return { ...result, objectText: result.text };
+                return { ...result, objectText: result.text, responseData };
               },
             }),
           );
@@ -384,6 +436,7 @@ export async function generateObject<SCHEMA, RESULT>({
           rawResponse = generateResult.rawResponse;
           logprobs = generateResult.logprobs;
           providerMetadata = generateResult.providerMetadata;
+          response = generateResult.responseData;
 
           break;
         }
@@ -457,6 +510,12 @@ export async function generateObject<SCHEMA, RESULT>({
                   throw new NoObjectGeneratedError();
                 }
 
+                const responseData = {
+                  id: result.response?.id ?? generateId(),
+                  timestamp: result.response?.timestamp ?? currentDate(),
+                  modelId: result.response?.modelId ?? model.modelId,
+                };
+
                 // Add response information to the span:
                 span.setAttributes(
                   selectTelemetryAttributes({
@@ -464,6 +523,10 @@ export async function generateObject<SCHEMA, RESULT>({
                     attributes: {
                       'ai.response.finishReason': result.finishReason,
                       'ai.response.object': { output: () => objectText },
+                      'ai.response.id': responseData.id,
+                      'ai.response.model': responseData.modelId,
+                      'ai.response.timestamp':
+                        responseData.timestamp.toISOString(),
 
                       'ai.usage.promptTokens': result.usage.promptTokens,
                       'ai.usage.completionTokens':
@@ -475,6 +538,8 @@ export async function generateObject<SCHEMA, RESULT>({
 
                       // standardized gen-ai llm span attributes:
                       'gen_ai.response.finish_reasons': [result.finishReason],
+                      'gen_ai.response.id': responseData.id,
+                      'gen_ai.response.model': responseData.modelId,
                       'gen_ai.usage.input_tokens': result.usage.promptTokens,
                       'gen_ai.usage.output_tokens':
                         result.usage.completionTokens,
@@ -482,7 +547,7 @@ export async function generateObject<SCHEMA, RESULT>({
                   }),
                 );
 
-                return { ...result, objectText };
+                return { ...result, objectText, responseData };
               },
             }),
           );
@@ -494,6 +559,7 @@ export async function generateObject<SCHEMA, RESULT>({
           rawResponse = generateResult.rawResponse;
           logprobs = generateResult.logprobs;
           providerMetadata = generateResult.providerMetadata;
+          response = generateResult.responseData;
 
           break;
         }
@@ -549,9 +615,12 @@ export async function generateObject<SCHEMA, RESULT>({
       return new DefaultGenerateObjectResult({
         object: validationResult.value,
         finishReason,
-        usage: calculateCompletionTokenUsage(usage),
+        usage: calculateLanguageModelUsage(usage),
         warnings,
-        rawResponse,
+        response: {
+          ...response,
+          headers: rawResponse?.headers,
+        },
         logprobs,
         providerMetadata,
       });
@@ -567,23 +636,29 @@ class DefaultGenerateObjectResult<T> implements GenerateObjectResult<T> {
   readonly rawResponse: GenerateObjectResult<T>['rawResponse'];
   readonly logprobs: GenerateObjectResult<T>['logprobs'];
   readonly experimental_providerMetadata: GenerateObjectResult<T>['experimental_providerMetadata'];
+  readonly response: GenerateObjectResult<T>['response'];
 
   constructor(options: {
     object: GenerateObjectResult<T>['object'];
     finishReason: GenerateObjectResult<T>['finishReason'];
     usage: GenerateObjectResult<T>['usage'];
     warnings: GenerateObjectResult<T>['warnings'];
-    rawResponse: GenerateObjectResult<T>['rawResponse'];
     logprobs: GenerateObjectResult<T>['logprobs'];
     providerMetadata: GenerateObjectResult<T>['experimental_providerMetadata'];
+    response: GenerateObjectResult<T>['response'];
   }) {
     this.object = options.object;
     this.finishReason = options.finishReason;
     this.usage = options.usage;
     this.warnings = options.warnings;
-    this.rawResponse = options.rawResponse;
-    this.logprobs = options.logprobs;
     this.experimental_providerMetadata = options.providerMetadata;
+    this.response = options.response;
+
+    // deprecated:
+    this.rawResponse = {
+      headers: options.response.headers,
+    };
+    this.logprobs = options.logprobs;
   }
 
   toJsonResponse(init?: ResponseInit): Response {
diff --git a/packages/ai/core/generate-object/index.ts b/packages/ai/core/generate-object/index.ts
index 32f84a574418..77a382f312c2 100644
--- a/packages/ai/core/generate-object/index.ts
+++ b/packages/ai/core/generate-object/index.ts
@@ -1,4 +1,7 @@
-export * from './generate-object';
-export * from './generate-object-result';
-export * from './stream-object';
-export * from './stream-object-result';
+export { generateObject, experimental_generateObject } from './generate-object';
+export type { GenerateObjectResult } from './generate-object-result';
+export { streamObject, experimental_streamObject } from './stream-object';
+export type {
+  ObjectStreamPart,
+  StreamObjectResult,
+} from './stream-object-result';
diff --git a/packages/ai/core/generate-object/stream-object-result.ts b/packages/ai/core/generate-object/stream-object-result.ts
index 698440a2456d..e8750796a45f 100644
--- a/packages/ai/core/generate-object/stream-object-result.ts
+++ b/packages/ai/core/generate-object/stream-object-result.ts
@@ -2,10 +2,12 @@ import { ServerResponse } from 'http';
 import {
   CallWarning,
   FinishReason,
+  LanguageModelResponseMetadata,
+  LanguageModelResponseMetadataWithHeaders,
   LogProbs,
   ProviderMetadata,
 } from '../types';
-import { CompletionTokenUsage } from '../types/token-usage';
+import { LanguageModelUsage } from '../types/usage';
 import { AsyncIterableStream } from '../util/async-iterable-stream';
 
 /**
@@ -20,7 +22,7 @@ export interface StreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM> {
   /**
   The token usage of the generated response. Resolved when the response is finished.
      */
-  readonly usage: Promise<CompletionTokenUsage>;
+  readonly usage: Promise<LanguageModelUsage>;
 
   /**
 Additional provider-specific metadata. They are passed through
@@ -30,8 +32,11 @@ results that can be fully encapsulated in the provider.
   readonly experimental_providerMetadata: Promise<ProviderMetadata | undefined>;
 
   /**
-  Optional raw response data.
+Optional raw response data.
+
+@deprecated Use `response` instead.
      */
+  // TODO removed in v4
   readonly rawResponse?: {
     /**
   Response headers.
@@ -39,6 +44,11 @@ results that can be fully encapsulated in the provider.
     headers?: Record<string, string>;
   };
 
+  /**
+Additional response information.
+ */
+  readonly response: Promise<LanguageModelResponseMetadataWithHeaders>;
+
   /**
   The generated object (typed according to the schema). Resolved when the response is finished.
      */
@@ -93,7 +103,15 @@ results that can be fully encapsulated in the provider.
   toTextStreamResponse(init?: ResponseInit): Response;
 }
 
-export type ObjectStreamInputPart =
+export type ObjectStreamPart<PARTIAL> =
+  | {
+      type: 'object';
+      object: PARTIAL;
+    }
+  | {
+      type: 'text-delta';
+      textDelta: string;
+    }
   | {
       type: 'error';
       error: unknown;
@@ -102,21 +120,7 @@ export type ObjectStreamInputPart =
       type: 'finish';
       finishReason: FinishReason;
       logprobs?: LogProbs;
-      usage: {
-        promptTokens: number;
-        completionTokens: number;
-        totalTokens: number;
-      };
+      usage: LanguageModelUsage;
+      response: LanguageModelResponseMetadata;
       providerMetadata?: ProviderMetadata;
     };
-
-export type ObjectStreamPart<PARTIAL> =
-  | ObjectStreamInputPart
-  | {
-      type: 'object';
-      object: PARTIAL;
-    }
-  | {
-      type: 'text-delta';
-      textDelta: string;
-    };
diff --git a/packages/ai/core/generate-object/stream-object.test.ts b/packages/ai/core/generate-object/stream-object.test.ts
index e18f9d1b803f..20c59b79c643 100644
--- a/packages/ai/core/generate-object/stream-object.test.ts
+++ b/packages/ai/core/generate-object/stream-object.test.ts
@@ -388,6 +388,12 @@ describe('output = "object"', () => {
         model: new MockLanguageModelV1({
           doStream: async () => ({
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               { type: 'text-delta', textDelta: '{ ' },
               { type: 'text-delta', textDelta: '"content": ' },
               { type: 'text-delta', textDelta: `"Hello, ` },
@@ -409,59 +415,9 @@ describe('output = "object"', () => {
         prompt: 'prompt',
       });
 
-      assert.deepStrictEqual(
+      expect(
         await convertAsyncIterableToArray(result.fullStream),
-        [
-          {
-            type: 'object',
-            object: {},
-          },
-          {
-            type: 'text-delta',
-            textDelta: '{ ',
-          },
-          {
-            type: 'object',
-            object: { content: 'Hello, ' },
-          },
-          {
-            type: 'text-delta',
-            textDelta: '"content": "Hello, ',
-          },
-          {
-            type: 'object',
-            object: { content: 'Hello, world' },
-          },
-          {
-            type: 'text-delta',
-            textDelta: 'world',
-          },
-          {
-            type: 'object',
-            object: { content: 'Hello, world!' },
-          },
-          {
-            type: 'text-delta',
-            textDelta: '!"',
-          },
-          {
-            type: 'text-delta',
-            textDelta: ' }',
-          },
-          {
-            type: 'finish',
-            finishReason: 'stop',
-            usage: { promptTokens: 2, completionTokens: 10, totalTokens: 12 },
-            logprobs: [
-              {
-                token: '-',
-                logprob: 1,
-                topLogprobs: [],
-              },
-            ],
-          },
-        ],
-      );
+      ).toMatchSnapshot();
     });
   });
 
@@ -667,6 +623,92 @@ describe('output = "object"', () => {
     });
   });
 
+  describe('result.response', () => {
+    it('should resolve with response information in json mode', async () => {
+      const result = await streamObject({
+        model: new MockLanguageModelV1({
+          doStream: async () => ({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              { type: 'text-delta', textDelta: '{"content": "Hello, world!"}' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                logprobs: undefined,
+                usage: { completionTokens: 10, promptTokens: 3 },
+              },
+            ]),
+            rawCall: { rawPrompt: 'prompt', rawSettings: {} },
+            rawResponse: { headers: { call: '2' } },
+          }),
+        }),
+        schema: z.object({ content: z.string() }),
+        mode: 'json',
+        prompt: 'prompt',
+      });
+
+      // consume stream (runs in parallel)
+      convertAsyncIterableToArray(result.partialObjectStream);
+
+      expect(await result.response).toStrictEqual({
+        id: 'id-0',
+        modelId: 'mock-model-id',
+        timestamp: new Date(0),
+        headers: { call: '2' },
+      });
+    });
+
+    it('should resolve with response information in tool mode', async () => {
+      const result = await streamObject({
+        model: new MockLanguageModelV1({
+          doStream: async () => ({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              {
+                type: 'tool-call-delta',
+                toolCallType: 'function',
+                toolCallId: 'tool-call-1',
+                toolName: 'json',
+                argsTextDelta: '{"content": "Hello, world!"}',
+              },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                logprobs: undefined,
+                usage: { completionTokens: 10, promptTokens: 3 },
+              },
+            ]),
+            rawCall: { rawPrompt: 'prompt', rawSettings: {} },
+            rawResponse: { headers: { call: '2' } },
+          }),
+        }),
+        schema: z.object({ content: z.string() }),
+        mode: 'tool',
+        prompt: 'prompt',
+      });
+
+      // consume stream (runs in parallel)
+      convertAsyncIterableToArray(result.partialObjectStream);
+
+      expect(await result.response).toStrictEqual({
+        id: 'id-0',
+        modelId: 'mock-model-id',
+        timestamp: new Date(0),
+        headers: { call: '2' },
+      });
+    });
+  });
+
   describe('result.object', () => {
     it('should resolve with typed object', async () => {
       const result = await streamObject({
@@ -771,127 +813,96 @@ describe('output = "object"', () => {
   });
 
   describe('options.onFinish', () => {
-    describe('with successfully validated object', () => {
+    it('should be called when a valid object is generated', async () => {
       let result: Parameters<
         Required<Parameters<typeof streamObject>[0]>['onFinish']
       >[0];
 
-      beforeEach(async () => {
-        const { partialObjectStream } = await streamObject({
-          model: new MockLanguageModelV1({
-            doStream: async () => ({
-              stream: convertArrayToReadableStream([
-                {
-                  type: 'text-delta',
-                  textDelta: '{ "content": "Hello, world!" }',
-                },
-                {
-                  type: 'finish',
-                  finishReason: 'stop',
-                  usage: { completionTokens: 10, promptTokens: 3 },
-                  providerMetadata: {
-                    testProvider: { testKey: 'testValue' },
-                  },
+      const { partialObjectStream } = await streamObject({
+        model: new MockLanguageModelV1({
+          doStream: async () => ({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              {
+                type: 'text-delta',
+                textDelta: '{ "content": "Hello, world!" }',
+              },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: { completionTokens: 10, promptTokens: 3 },
+                providerMetadata: {
+                  testProvider: { testKey: 'testValue' },
                 },
-              ]),
-              rawCall: { rawPrompt: 'prompt', rawSettings: {} },
-            }),
+              },
+            ]),
+            rawCall: { rawPrompt: 'prompt', rawSettings: {} },
           }),
-          schema: z.object({ content: z.string() }),
-          mode: 'json',
-          prompt: 'prompt',
-          onFinish: async event => {
-            result = event as unknown as typeof result;
-          },
-        });
-
-        // consume stream
-        await convertAsyncIterableToArray(partialObjectStream);
-      });
-
-      it('should contain token usage', async () => {
-        assert.deepStrictEqual(result.usage, {
-          completionTokens: 10,
-          promptTokens: 3,
-          totalTokens: 13,
-        });
-      });
-
-      it('should contain the full object', async () => {
-        assert.deepStrictEqual(result.object, {
-          content: 'Hello, world!',
-        });
+        }),
+        schema: z.object({ content: z.string() }),
+        mode: 'json',
+        prompt: 'prompt',
+        onFinish: async event => {
+          result = event as unknown as typeof result;
+        },
       });
 
-      it('should not contain an error object', async () => {
-        assert.deepStrictEqual(result.error, undefined);
-      });
+      // consume stream
+      await convertAsyncIterableToArray(partialObjectStream);
 
-      it('should contain provider metadata', async () => {
-        assert.deepStrictEqual(result.experimental_providerMetadata, {
-          testProvider: { testKey: 'testValue' },
-        });
-      });
+      expect(result!).toMatchSnapshot();
     });
 
-    describe("with object that doesn't match the schema", () => {
+    it("should be called when object doesn't match the schema", async () => {
       let result: Parameters<
         Required<Parameters<typeof streamObject>[0]>['onFinish']
       >[0];
 
-      beforeEach(async () => {
-        const { partialObjectStream, object } = await streamObject({
-          model: new MockLanguageModelV1({
-            doStream: async () => ({
-              stream: convertArrayToReadableStream([
-                { type: 'text-delta', textDelta: '{ ' },
-                { type: 'text-delta', textDelta: '"invalid": ' },
-                { type: 'text-delta', textDelta: `"Hello, ` },
-                { type: 'text-delta', textDelta: `world` },
-                { type: 'text-delta', textDelta: `!"` },
-                { type: 'text-delta', textDelta: ' }' },
-                {
-                  type: 'finish',
-                  finishReason: 'stop',
-                  usage: { completionTokens: 10, promptTokens: 3 },
-                },
-              ]),
-              rawCall: { rawPrompt: 'prompt', rawSettings: {} },
-            }),
+      const { partialObjectStream, object } = await streamObject({
+        model: new MockLanguageModelV1({
+          doStream: async () => ({
+            stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
+              { type: 'text-delta', textDelta: '{ ' },
+              { type: 'text-delta', textDelta: '"invalid": ' },
+              { type: 'text-delta', textDelta: `"Hello, ` },
+              { type: 'text-delta', textDelta: `world` },
+              { type: 'text-delta', textDelta: `!"` },
+              { type: 'text-delta', textDelta: ' }' },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                usage: { completionTokens: 10, promptTokens: 3 },
+              },
+            ]),
+            rawCall: { rawPrompt: 'prompt', rawSettings: {} },
           }),
-          schema: z.object({ content: z.string() }),
-          mode: 'json',
-          prompt: 'prompt',
-          onFinish: async event => {
-            result = event as unknown as typeof result;
-          },
-        });
-
-        // consume stream
-        await convertAsyncIterableToArray(partialObjectStream);
-
-        // consume expected error rejection
-        await object.catch(() => {});
+        }),
+        schema: z.object({ content: z.string() }),
+        mode: 'json',
+        prompt: 'prompt',
+        onFinish: async event => {
+          result = event as unknown as typeof result;
+        },
       });
 
-      it('should contain token usage', async () => {
-        assert.deepStrictEqual(result.usage, {
-          completionTokens: 10,
-          promptTokens: 3,
-          totalTokens: 13,
-        });
-      });
+      // consume stream
+      await convertAsyncIterableToArray(partialObjectStream);
 
-      it('should not contain a full object', async () => {
-        assert.deepStrictEqual(result.object, undefined);
-      });
+      // consume expected error rejection
+      await object.catch(() => {});
 
-      it('should contain an error object', async () => {
-        assert.deepStrictEqual(
-          TypeValidationError.isInstance(result.error),
-          true,
-        );
-      });
+      expect(result!).toMatchSnapshot();
     });
   });
 
@@ -1342,6 +1353,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async () => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             { type: 'text-delta', textDelta: '{ ' },
             { type: 'text-delta', textDelta: '"content": ' },
             { type: 'text-delta', textDelta: `"Hello, ` },
@@ -1374,6 +1391,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async () => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             { type: 'text-delta', textDelta: '{ ' },
             { type: 'text-delta', textDelta: '"content": ' },
             { type: 'text-delta', textDelta: `"Hello, ` },
@@ -1425,6 +1448,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async () => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             {
               type: 'tool-call-delta',
               toolCallType: 'function',
@@ -1512,6 +1541,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async () => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             { type: 'text-delta', textDelta: '{ ' },
             { type: 'text-delta', textDelta: '"content": ' },
             { type: 'text-delta', textDelta: `"Hello, ` },
@@ -1549,6 +1584,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async () => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             {
               type: 'tool-call-delta',
               toolCallType: 'function',
diff --git a/packages/ai/core/generate-object/stream-object.ts b/packages/ai/core/generate-object/stream-object.ts
index 6b858d2f5391..5f4024e2acfe 100644
--- a/packages/ai/core/generate-object/stream-object.ts
+++ b/packages/ai/core/generate-object/stream-object.ts
@@ -27,11 +27,18 @@ import { getTracer } from '../telemetry/get-tracer';
 import { recordSpan } from '../telemetry/record-span';
 import { selectTelemetryAttributes } from '../telemetry/select-telemetry-attributes';
 import { TelemetrySettings } from '../telemetry/telemetry-settings';
-import { CallWarning, LanguageModel, ProviderMetadata } from '../types';
 import {
-  CompletionTokenUsage,
-  calculateCompletionTokenUsage,
-} from '../types/token-usage';
+  CallWarning,
+  FinishReason,
+  LanguageModel,
+  LanguageModelResponseMetadataWithHeaders,
+  LogProbs,
+  ProviderMetadata,
+} from '../types';
+import {
+  LanguageModelUsage,
+  calculateLanguageModelUsage,
+} from '../types/usage';
 import {
   AsyncIterableStream,
   createAsyncIterableStream,
@@ -40,18 +47,17 @@ import { now as originalNow } from '../util/now';
 import { prepareResponseHeaders } from '../util/prepare-response-headers';
 import { injectJsonInstruction } from './inject-json-instruction';
 import { OutputStrategy, getOutputStrategy } from './output-strategy';
-import {
-  ObjectStreamInputPart,
-  ObjectStreamPart,
-  StreamObjectResult,
-} from './stream-object-result';
+import { ObjectStreamPart, StreamObjectResult } from './stream-object-result';
 import { validateObjectGenerationInput } from './validate-object-generation-input';
+import { createIdGenerator } from '@ai-sdk/provider-utils';
+
+const originalGenerateId = createIdGenerator({ prefix: 'aiobj-', length: 24 });
 
 type OnFinishCallback<RESULT> = (event: {
   /**
 The token usage of the generated response.
 */
-  usage: CompletionTokenUsage;
+  usage: LanguageModelUsage;
 
   /**
 The generated object. Can be undefined if the final object does not match the schema.
@@ -65,14 +71,21 @@ Optional error object. This is e.g. a TypeValidationError when the final object
 
   /**
 Optional raw response data.
-*/
+
+@deprecated Use `response` instead.
+       */
   rawResponse?: {
     /**
 Response headers.
-*/
+   */
     headers?: Record<string, string>;
   };
 
+  /**
+Response metadata.
+ */
+  response: LanguageModelResponseMetadataWithHeaders;
+
   /**
 Warnings from the model provider (e.g. unsupported settings).
 */
@@ -152,6 +165,8 @@ Callback that is called when the LLM response and the final object validation ar
        * Internal. For test use only. May change without notice.
        */
       _internal?: {
+        generateId?: () => string;
+        currentDate?: () => Date;
         now?: () => number;
       };
     },
@@ -222,6 +237,8 @@ Callback that is called when the LLM response and the final object validation ar
        * Internal. For test use only. May change without notice.
        */
       _internal?: {
+        generateId?: () => string;
+        currentDate?: () => Date;
         now?: () => number;
       };
     },
@@ -269,6 +286,8 @@ Callback that is called when the LLM response and the final object validation ar
        * Internal. For test use only. May change without notice.
        */
       _internal?: {
+        generateId?: () => string;
+        currentDate?: () => Date;
         now?: () => number;
       };
     },
@@ -288,7 +307,11 @@ export async function streamObject<SCHEMA, PARTIAL, RESULT, ELEMENT_STREAM>({
   headers,
   experimental_telemetry: telemetry,
   onFinish,
-  _internal: { now = originalNow } = {},
+  _internal: {
+    generateId = originalGenerateId,
+    currentDate = () => new Date(),
+    now = originalNow,
+  } = {},
   ...settings
 }: Omit<CallSettings, 'stopSequences'> &
   Prompt & {
@@ -309,17 +332,10 @@ export async function streamObject<SCHEMA, PARTIAL, RESULT, ELEMENT_STREAM>({
     schemaDescription?: string;
     mode?: 'auto' | 'json' | 'tool';
     experimental_telemetry?: TelemetrySettings;
-    onFinish?: (event: {
-      usage: CompletionTokenUsage;
-      object: RESULT | undefined;
-      error: unknown | undefined;
-      rawResponse?: {
-        headers?: Record<string, string>;
-      };
-      warnings?: CallWarning[];
-      experimental_providerMetadata: ProviderMetadata | undefined;
-    }) => Promise<void> | void;
+    onFinish?: OnFinishCallback<RESULT>;
     _internal?: {
+      generateId?: () => string;
+      currentDate?: () => Date;
       now?: () => number;
     };
   }): Promise<StreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>> {
@@ -426,6 +442,7 @@ export async function streamObject<SCHEMA, PARTIAL, RESULT, ELEMENT_STREAM>({
                 case 'text-delta':
                   controller.enqueue(chunk.textDelta);
                   break;
+                case 'response-metadata':
                 case 'finish':
                 case 'error':
                   controller.enqueue(chunk);
@@ -470,6 +487,7 @@ export async function streamObject<SCHEMA, PARTIAL, RESULT, ELEMENT_STREAM>({
                 case 'tool-call-delta':
                   controller.enqueue(chunk.argsTextDelta);
                   break;
+                case 'response-metadata':
                 case 'finish':
                 case 'error':
                   controller.enqueue(chunk);
@@ -547,7 +565,10 @@ export async function streamObject<SCHEMA, PARTIAL, RESULT, ELEMENT_STREAM>({
         doStreamSpan,
         telemetry,
         startTimestampMs,
+        modelId: model.modelId,
         now,
+        currentDate,
+        generateId,
       });
     },
   });
@@ -576,6 +597,11 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
     ELEMENT_STREAM
   >['rawResponse'];
   readonly outputStrategy: OutputStrategy<PARTIAL, RESULT, ELEMENT_STREAM>;
+  readonly response: StreamObjectResult<
+    PARTIAL,
+    RESULT,
+    ELEMENT_STREAM
+  >['response'];
 
   constructor({
     stream,
@@ -587,13 +613,16 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
     doStreamSpan,
     telemetry,
     startTimestampMs,
+    modelId,
     now,
+    currentDate,
+    generateId,
   }: {
     stream: ReadableStream<
       string | Omit<LanguageModelV1StreamPart, 'text-delta'>
     >;
     warnings: StreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>['warnings'];
-    rawResponse?: StreamObjectResult<
+    rawResponse: StreamObjectResult<
       PARTIAL,
       RESULT,
       ELEMENT_STREAM
@@ -604,7 +633,10 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
     doStreamSpan: Span;
     telemetry: TelemetrySettings | undefined;
     startTimestampMs: number;
+    modelId: string;
     now: () => number;
+    currentDate: () => Date;
+    generateId: () => string;
   }) {
     this.warnings = warnings;
     this.rawResponse = rawResponse;
@@ -615,9 +647,14 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
 
     // initialize usage promise
     const { resolve: resolveUsage, promise: usagePromise } =
-      createResolvablePromise<CompletionTokenUsage>();
+      createResolvablePromise<LanguageModelUsage>();
     this.usage = usagePromise;
 
+    // initialize response promise
+    const { resolve: resolveResponse, promise: responsePromise } =
+      createResolvablePromise<LanguageModelResponseMetadataWithHeaders>();
+    this.response = responsePromise;
+
     // initialize experimental_providerMetadata promise
     const {
       resolve: resolveProviderMetadata,
@@ -626,7 +663,7 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
     this.experimental_providerMetadata = providerMetadataPromise;
 
     // store information for onFinish callback:
-    let usage: CompletionTokenUsage | undefined;
+    let usage: LanguageModelUsage | undefined;
     let finishReason: LanguageModelV1FinishReason | undefined;
     let providerMetadata: ProviderMetadata | undefined;
     let object: RESULT | undefined;
@@ -635,6 +672,15 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
     // pipe chunks through a transformation stream that extracts metadata:
     let accumulatedText = '';
     let textDelta = '';
+    let response: {
+      id: string;
+      timestamp: Date;
+      modelId: string;
+    } = {
+      id: generateId(),
+      timestamp: currentDate(),
+      modelId,
+    };
 
     // Keep track of raw parse result before type validation, since e.g. Zod might
     // change the object by mapping properties.
@@ -712,6 +758,15 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
           }
 
           switch (chunk.type) {
+            case 'response-metadata': {
+              response = {
+                id: chunk.id ?? response.id,
+                timestamp: chunk.timestamp ?? response.timestamp,
+                modelId: chunk.modelId ?? response.modelId,
+              };
+              break;
+            }
+
             case 'finish': {
               // send final text delta:
               if (textDelta !== '') {
@@ -722,14 +777,18 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
               finishReason = chunk.finishReason;
 
               // store usage and metadata for promises and onFinish callback:
-              usage = calculateCompletionTokenUsage(chunk.usage);
+              usage = calculateLanguageModelUsage(chunk.usage);
               providerMetadata = chunk.providerMetadata;
 
-              controller.enqueue({ ...chunk, usage });
+              controller.enqueue({ ...chunk, usage, response });
 
               // resolve promises that can be resolved now:
               resolveUsage(usage);
               resolveProviderMetadata(providerMetadata);
+              resolveResponse({
+                ...response,
+                headers: rawResponse?.headers,
+              });
 
               // resolve the object promise with the latest object:
               const validationResult =
@@ -770,6 +829,9 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
                   'ai.response.object': {
                     output: () => JSON.stringify(object),
                   },
+                  'ai.response.id': response.id,
+                  'ai.response.model': response.modelId,
+                  'ai.response.timestamp': response.timestamp.toISOString(),
 
                   'ai.usage.promptTokens': finalUsage.promptTokens,
                   'ai.usage.completionTokens': finalUsage.completionTokens,
@@ -779,9 +841,11 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
                   'ai.result.object': { output: () => JSON.stringify(object) },
 
                   // standardized gen-ai llm span attributes:
+                  'gen_ai.response.finish_reasons': [finishReason],
+                  'gen_ai.response.id': response.id,
+                  'gen_ai.response.model': response.modelId,
                   'gen_ai.usage.input_tokens': finalUsage.promptTokens,
                   'gen_ai.usage.output_tokens': finalUsage.completionTokens,
-                  'gen_ai.response.finish_reasons': [finishReason],
                 },
               }),
             );
@@ -812,6 +876,10 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
               object,
               error,
               rawResponse,
+              response: {
+                ...response,
+                headers: rawResponse?.headers,
+              },
               warnings,
               experimental_providerMetadata: providerMetadata,
             });
@@ -935,3 +1003,22 @@ class DefaultStreamObjectResult<PARTIAL, RESULT, ELEMENT_STREAM>
  * @deprecated Use `streamObject` instead.
  */
 export const experimental_streamObject = streamObject;
+
+export type ObjectStreamInputPart =
+  | {
+      type: 'error';
+      error: unknown;
+    }
+  | {
+      type: 'response-metadata';
+      id?: string;
+      timestamp?: Date;
+      modelId?: string;
+    }
+  | {
+      type: 'finish';
+      finishReason: FinishReason;
+      logprobs?: LogProbs;
+      usage: LanguageModelUsage;
+      providerMetadata?: ProviderMetadata;
+    };
diff --git a/packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap b/packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap
index 512009e23803..8075733ff7f1 100644
--- a/packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap
+++ b/packages/ai/core/generate-text/__snapshots__/generate-text.test.ts.snap
@@ -1,5 +1,68 @@
 // Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
 
+exports[`result.responseMessages > single roundtrip > should return information about all roundtrips 1`] = `
+[
+  {
+    "finishReason": "tool-calls",
+    "logprobs": undefined,
+    "response": {
+      "headers": undefined,
+      "id": "test-id-1-from-model",
+      "modelId": "test-response-model-id",
+      "timestamp": 1970-01-01T00:00:00.000Z,
+    },
+    "text": "",
+    "toolCalls": [
+      {
+        "args": {
+          "value": "value",
+        },
+        "toolCallId": "call-1",
+        "toolName": "tool1",
+        "type": "tool-call",
+      },
+    ],
+    "toolResults": [
+      {
+        "args": {
+          "value": "value",
+        },
+        "result": "result1",
+        "toolCallId": "call-1",
+        "toolName": "tool1",
+      },
+    ],
+    "usage": {
+      "completionTokens": 5,
+      "promptTokens": 10,
+      "totalTokens": 15,
+    },
+    "warnings": undefined,
+  },
+  {
+    "finishReason": "stop",
+    "logprobs": undefined,
+    "response": {
+      "headers": {
+        "custom-response-header": "response-header-value",
+      },
+      "id": "test-id-2-from-model",
+      "modelId": "test-response-model-id",
+      "timestamp": 1970-01-01T00:00:10.000Z,
+    },
+    "text": "Hello, world!",
+    "toolCalls": [],
+    "toolResults": [],
+    "usage": {
+      "completionTokens": 20,
+      "promptTokens": 10,
+      "totalTokens": 30,
+    },
+    "warnings": undefined,
+  },
+]
+`;
+
 exports[`telemetry > should not record any telemetry data when not explicitly enabled 1`] = `[]`;
 
 exports[`telemetry > should not record telemetry inputs / outputs when disabled 1`] = `
@@ -26,12 +89,17 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "ai.model.provider": "mock-provider",
       "ai.operationId": "ai.generateText.doGenerate",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id",
+      "ai.response.model": "mock-model-id",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.usage.completionTokens": 20,
       "ai.usage.promptTokens": 10,
       "gen_ai.request.model": "mock-model-id",
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
@@ -82,6 +150,9 @@ exports[`telemetry > should record successful tool call 1`] = `
       "ai.prompt.format": "prompt",
       "ai.prompt.messages": "[{"role":"user","content":[{"type":"text","text":"test-input"}]}]",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id",
+      "ai.response.model": "mock-model-id",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.response.toolCalls": "[{"toolCallType":"function","toolCallId":"call-1","toolName":"tool1","args":"{ \\"value\\": \\"value\\" }"}]",
       "ai.result.toolCalls": "[{"toolCallType":"function","toolCallId":"call-1","toolName":"tool1","args":"{ \\"value\\": \\"value\\" }"}]",
       "ai.usage.completionTokens": 20,
@@ -90,6 +161,8 @@ exports[`telemetry > should record successful tool call 1`] = `
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
@@ -158,7 +231,10 @@ exports[`telemetry > should record telemetry data when enabled 1`] = `
       "ai.request.headers.header1": "value1",
       "ai.request.headers.header2": "value2",
       "ai.response.finishReason": "stop",
+      "ai.response.id": "test-id-from-model",
+      "ai.response.model": "test-response-model-id",
       "ai.response.text": "Hello, world!",
+      "ai.response.timestamp": "1970-01-01T00:00:10.000Z",
       "ai.result.text": "Hello, world!",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.presencePenalty": 0.4,
@@ -185,6 +261,8 @@ exports[`telemetry > should record telemetry data when enabled 1`] = `
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "test-id-from-model",
+      "gen_ai.response.model": "test-response-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
diff --git a/packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap b/packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap
index 605d889827d9..fedb7f2d1dad 100644
--- a/packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap
+++ b/packages/ai/core/generate-text/__snapshots__/stream-text.test.ts.snap
@@ -1,5 +1,28 @@
 // Vitest Snapshot v1, https://vitest.dev/guide/snapshot.html
 
+exports[`options.maxToolRoundtrips > 2 roundtrips > onFinish should send correct information 1`] = `
+{
+  "experimental_providerMetadata": undefined,
+  "finishReason": "stop",
+  "rawResponse": undefined,
+  "response": {
+    "headers": undefined,
+    "id": "id-1",
+    "modelId": "mock-model-id",
+    "timestamp": 1970-01-01T00:00:01.000Z,
+  },
+  "text": "Hello, world!",
+  "toolCalls": [],
+  "toolResults": [],
+  "usage": {
+    "completionTokens": 15,
+    "promptTokens": 4,
+    "totalTokens": 19,
+  },
+  "warnings": undefined,
+}
+`;
+
 exports[`options.maxToolRoundtrips > 2 roundtrips > should record telemetry data for each roundtrip 1`] = `
 [
   {
@@ -29,9 +52,12 @@ exports[`options.maxToolRoundtrips > 2 roundtrips > should record telemetry data
       "ai.prompt.messages": "[{"role":"user","content":[{"type":"text","text":"test-input"}]}]",
       "ai.response.avgCompletionTokensPerSecond": 20,
       "ai.response.finishReason": "tool-calls",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 500,
       "ai.response.msToFirstChunk": 100,
       "ai.response.text": "",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.response.toolCalls": "[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","args":{"value":"value"}}]",
       "ai.result.text": "",
       "ai.result.toolCalls": "[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","args":{"value":"value"}}]",
@@ -42,6 +68,8 @@ exports[`options.maxToolRoundtrips > 2 roundtrips > should record telemetry data
       "gen_ai.response.finish_reasons": [
         "tool-calls",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 3,
       "gen_ai.usage.output_tokens": 10,
@@ -84,9 +112,12 @@ exports[`options.maxToolRoundtrips > 2 roundtrips > should record telemetry data
       "ai.prompt.messages": "[{"role":"user","content":[{"type":"text","text":"test-input"}]},{"role":"assistant","content":[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","args":{"value":"value"}}]},{"role":"tool","content":[{"type":"tool-result","toolCallId":"call-1","toolName":"tool1","result":"result1"}]}]",
       "ai.response.avgCompletionTokensPerSecond": 12.5,
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-1",
+      "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 400,
       "ai.response.msToFirstChunk": 400,
       "ai.response.text": "Hello, world!",
+      "ai.response.timestamp": "1970-01-01T00:00:01.000Z",
       "ai.result.text": "Hello, world!",
       "ai.stream.msToFirstChunk": 400,
       "ai.usage.completionTokens": 5,
@@ -95,6 +126,8 @@ exports[`options.maxToolRoundtrips > 2 roundtrips > should record telemetry data
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-1",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 1,
       "gen_ai.usage.output_tokens": 5,
@@ -118,6 +151,58 @@ exports[`options.maxToolRoundtrips > 2 roundtrips > should record telemetry data
 ]
 `;
 
+exports[`options.onFinish should send correct information 1`] = `
+{
+  "experimental_providerMetadata": {
+    "testProvider": {
+      "testKey": "testValue",
+    },
+  },
+  "finishReason": "stop",
+  "rawResponse": {
+    "headers": {
+      "call": "2",
+    },
+  },
+  "response": {
+    "headers": {
+      "call": "2",
+    },
+    "id": "id-0",
+    "modelId": "mock-model-id",
+    "timestamp": 1970-01-01T00:00:00.000Z,
+  },
+  "text": "Hello, world!",
+  "toolCalls": [
+    {
+      "args": {
+        "value": "value",
+      },
+      "toolCallId": "call-1",
+      "toolName": "tool1",
+      "type": "tool-call",
+    },
+  ],
+  "toolResults": [
+    {
+      "args": {
+        "value": "value",
+      },
+      "result": "value-result",
+      "toolCallId": "call-1",
+      "toolName": "tool1",
+      "type": "tool-result",
+    },
+  ],
+  "usage": {
+    "completionTokens": 10,
+    "promptTokens": 3,
+    "totalTokens": 13,
+  },
+  "warnings": undefined,
+}
+`;
+
 exports[`telemetry > should not record any telemetry data when not explicitly enabled 1`] = `[]`;
 
 exports[`telemetry > should not record telemetry inputs / outputs when disabled 1`] = `
@@ -144,8 +229,11 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "ai.operationId": "ai.streamText.doStream",
       "ai.response.avgCompletionTokensPerSecond": 40,
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 500,
       "ai.response.msToFirstChunk": 100,
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.stream.msToFirstChunk": 100,
       "ai.usage.completionTokens": 20,
       "ai.usage.promptTokens": 10,
@@ -153,6 +241,8 @@ exports[`telemetry > should not record telemetry inputs / outputs when disabled
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
@@ -217,9 +307,12 @@ exports[`telemetry > should record successful tool call 1`] = `
       "ai.prompt.messages": "[{"role":"user","content":[{"type":"text","text":"test-input"}]}]",
       "ai.response.avgCompletionTokensPerSecond": 40,
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 500,
       "ai.response.msToFirstChunk": 100,
       "ai.response.text": "",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.response.toolCalls": "[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","args":{"value":"value"}}]",
       "ai.result.text": "",
       "ai.result.toolCalls": "[{"type":"tool-call","toolCallId":"call-1","toolName":"tool1","args":{"value":"value"}}]",
@@ -230,6 +323,8 @@ exports[`telemetry > should record successful tool call 1`] = `
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
@@ -310,9 +405,12 @@ exports[`telemetry > should record telemetry data when enabled 1`] = `
       "ai.request.headers.header2": "value2",
       "ai.response.avgCompletionTokensPerSecond": 40,
       "ai.response.finishReason": "stop",
+      "ai.response.id": "id-0",
+      "ai.response.model": "mock-model-id",
       "ai.response.msToFinish": 500,
       "ai.response.msToFirstChunk": 100,
       "ai.response.text": "Hello, world!",
+      "ai.response.timestamp": "1970-01-01T00:00:00.000Z",
       "ai.result.text": "Hello, world!",
       "ai.settings.frequencyPenalty": 0.3,
       "ai.settings.presencePenalty": 0.4,
@@ -340,6 +438,8 @@ exports[`telemetry > should record telemetry data when enabled 1`] = `
       "gen_ai.response.finish_reasons": [
         "stop",
       ],
+      "gen_ai.response.id": "id-0",
+      "gen_ai.response.model": "mock-model-id",
       "gen_ai.system": "mock-provider",
       "gen_ai.usage.input_tokens": 10,
       "gen_ai.usage.output_tokens": 20,
diff --git a/packages/ai/core/generate-text/generate-text-result.ts b/packages/ai/core/generate-text/generate-text-result.ts
index 79222ea29325..c5fd66d75458 100644
--- a/packages/ai/core/generate-text/generate-text-result.ts
+++ b/packages/ai/core/generate-text/generate-text-result.ts
@@ -3,10 +3,11 @@ import { CoreTool } from '../tool/tool';
 import {
   CallWarning,
   FinishReason,
+  LanguageModelResponseMetadataWithHeaders,
   LogProbs,
   ProviderMetadata,
 } from '../types';
-import { CompletionTokenUsage } from '../types/token-usage';
+import { LanguageModelUsage } from '../types/usage';
 import { ToToolCallArray } from './tool-call';
 import { ToToolResultArray } from './tool-result';
 
@@ -38,7 +39,7 @@ export interface GenerateTextResult<TOOLS extends Record<string, CoreTool>> {
   /**
   The token usage of the generated text.
    */
-  readonly usage: CompletionTokenUsage;
+  readonly usage: LanguageModelUsage;
 
   /**
   Warnings from the model provider (e.g. unsupported settings)
@@ -82,7 +83,7 @@ export interface GenerateTextResult<TOOLS extends Record<string, CoreTool>> {
     /**
   The token usage of the generated text.
   */
-    readonly usage: CompletionTokenUsage;
+    readonly usage: LanguageModelUsage;
 
     /**
   Warnings from the model provider (e.g. unsupported settings)
@@ -96,18 +97,27 @@ export interface GenerateTextResult<TOOLS extends Record<string, CoreTool>> {
     readonly logprobs: LogProbs | undefined;
 
     /**
-  Optional raw response data.
-     */
+Optional raw response data.
+
+@deprecated Use `response.headers` instead.
+   */
     readonly rawResponse?: {
       /**
-  Response headers.
-     */
+Response headers.
+ */
       readonly headers?: Record<string, string>;
     };
+
+    /**
+Additional response information.
+ */
+    readonly response: LanguageModelResponseMetadataWithHeaders;
   }>;
 
   /**
-  Optional raw response data.
+Optional raw response data.
+
+@deprecated Use `response.headers` instead.
    */
   readonly rawResponse?: {
     /**
@@ -117,8 +127,15 @@ export interface GenerateTextResult<TOOLS extends Record<string, CoreTool>> {
   };
 
   /**
-  Logprobs for the completion.
-  `undefined` if the mode does not support logprobs or if was not enabled.
+Additional response information.
+   */
+  readonly response: LanguageModelResponseMetadataWithHeaders;
+
+  /**
+Logprobs for the completion.
+`undefined` if the mode does not support logprobs or if was not enabled.
+
+@deprecated Will become a provider extension in the future.
      */
   readonly logprobs: LogProbs | undefined;
 
diff --git a/packages/ai/core/generate-text/generate-text.test.ts b/packages/ai/core/generate-text/generate-text.test.ts
index ec133fa2ca54..dd75c86c0070 100644
--- a/packages/ai/core/generate-text/generate-text.test.ts
+++ b/packages/ai/core/generate-text/generate-text.test.ts
@@ -6,6 +6,8 @@ import { MockLanguageModelV1 } from '../test/mock-language-model-v1';
 import { MockTracer } from '../test/mock-tracer';
 import { generateText } from './generate-text';
 import { GenerateTextResult } from './generate-text-result';
+import { mockId } from '../test/mock-id';
+import { mockValues } from '../test/mock-values';
 
 const dummyResponseValues = {
   rawCall: { rawPrompt: 'prompt', rawSettings: {} },
@@ -440,6 +442,11 @@ describe('result.responseMessages', () => {
                     promptTokens: 10,
                     totalTokens: 15,
                   },
+                  response: {
+                    id: 'test-id-1-from-model',
+                    timestamp: new Date(0),
+                    modelId: 'test-response-model-id',
+                  },
                 };
               case 1:
                 expect(mode).toStrictEqual({
@@ -501,6 +508,16 @@ describe('result.responseMessages', () => {
                 return {
                   ...dummyResponseValues,
                   text: 'Hello, world!',
+                  response: {
+                    id: 'test-id-2-from-model',
+                    timestamp: new Date(10000),
+                    modelId: 'test-response-model-id',
+                  },
+                  rawResponse: {
+                    headers: {
+                      'custom-response-header': 'response-header-value',
+                    },
+                  },
                 };
               default:
                 throw new Error(`Unexpected response count: ${responseCount}`);
@@ -542,52 +559,51 @@ describe('result.responseMessages', () => {
     });
 
     it('should return information about all roundtrips', () => {
-      assert.deepStrictEqual(result.roundtrips, [
-        {
-          finishReason: 'tool-calls',
-          logprobs: undefined,
-          text: '',
-          toolCalls: [
-            {
-              args: {
-                value: 'value',
-              },
-              toolCallId: 'call-1',
-              toolName: 'tool1',
-              type: 'tool-call',
+      expect(result.roundtrips).toMatchSnapshot();
+    });
+  });
+});
+
+describe('result.response', () => {
+  it('should contain response information', async () => {
+    const result = await generateText({
+      model: new MockLanguageModelV1({
+        doGenerate: async ({ prompt, mode }) => {
+          assert.deepStrictEqual(mode, {
+            type: 'regular',
+            tools: undefined,
+            toolChoice: undefined,
+          });
+          assert.deepStrictEqual(prompt, [
+            { role: 'user', content: [{ type: 'text', text: 'prompt' }] },
+          ]);
+
+          return {
+            ...dummyResponseValues,
+            text: `Hello, world!`,
+            response: {
+              id: 'test-id-from-model',
+              timestamp: new Date(10000),
+              modelId: 'test-response-model-id',
             },
-          ],
-          toolResults: [
-            {
-              args: {
-                value: 'value',
+            rawResponse: {
+              headers: {
+                'custom-response-header': 'response-header-value',
               },
-              result: 'result1',
-              toolCallId: 'call-1',
-              toolName: 'tool1',
             },
-          ],
-          usage: {
-            completionTokens: 5,
-            promptTokens: 10,
-            totalTokens: 15,
-          },
-          warnings: undefined,
-        },
-        {
-          finishReason: 'stop',
-          logprobs: undefined,
-          text: 'Hello, world!',
-          toolCalls: [],
-          toolResults: [],
-          usage: {
-            completionTokens: 20,
-            promptTokens: 10,
-            totalTokens: 30,
-          },
-          warnings: undefined,
+          };
         },
-      ]);
+      }),
+      prompt: 'prompt',
+    });
+
+    expect(result.response).toStrictEqual({
+      id: 'test-id-from-model',
+      timestamp: new Date(10000),
+      modelId: 'test-response-model-id',
+      headers: {
+        'custom-response-header': 'response-header-value',
+      },
     });
   });
 });
@@ -647,6 +663,11 @@ describe('telemetry', () => {
         doGenerate: async ({}) => ({
           ...dummyResponseValues,
           text: `Hello, world!`,
+          response: {
+            id: 'test-id-from-model',
+            timestamp: new Date(10000),
+            modelId: 'test-response-model-id',
+          },
         }),
       }),
       prompt: 'prompt',
@@ -698,6 +719,10 @@ describe('telemetry', () => {
       experimental_telemetry: {
         isEnabled: true,
       },
+      _internal: {
+        generateId: () => 'test-id',
+        currentDate: () => new Date(0),
+      },
     });
 
     expect(tracer.jsonSpans).toMatchSnapshot();
@@ -730,6 +755,10 @@ describe('telemetry', () => {
         recordInputs: false,
         recordOutputs: false,
       },
+      _internal: {
+        generateId: () => 'test-id',
+        currentDate: () => new Date(0),
+      },
     });
 
     expect(tracer.jsonSpans).toMatchSnapshot();
@@ -807,6 +836,10 @@ describe('tools with custom schema', () => {
       },
       toolChoice: 'required',
       prompt: 'test-input',
+      _internal: {
+        generateId: () => 'test-id',
+        currentDate: () => new Date(0),
+      },
     });
 
     // test type inference
diff --git a/packages/ai/core/generate-text/generate-text.ts b/packages/ai/core/generate-text/generate-text.ts
index 68553753375d..d6583a4040de 100644
--- a/packages/ai/core/generate-text/generate-text.ts
+++ b/packages/ai/core/generate-text/generate-text.ts
@@ -1,3 +1,4 @@
+import { createIdGenerator } from '@ai-sdk/provider-utils';
 import { Tracer } from '@opentelemetry/api';
 import { retryWithExponentialBackoff } from '../../util/retry-with-exponential-backoff';
 import { CoreAssistantMessage, CoreToolMessage } from '../prompt';
@@ -19,14 +20,16 @@ import { TelemetrySettings } from '../telemetry/telemetry-settings';
 import { CoreTool } from '../tool/tool';
 import { CoreToolChoice, LanguageModel } from '../types';
 import {
-  CompletionTokenUsage,
-  calculateCompletionTokenUsage,
-} from '../types/token-usage';
+  LanguageModelUsage,
+  calculateLanguageModelUsage,
+} from '../types/usage';
 import { GenerateTextResult } from './generate-text-result';
 import { toResponseMessages } from './to-response-messages';
 import { ToToolCallArray, parseToolCall } from './tool-call';
 import { ToToolResultArray } from './tool-result';
 
+const originalGenerateId = createIdGenerator({ prefix: 'aitxt-', length: 24 });
+
 /**
 Generate a text and call tools for a given prompt using a language model.
 
@@ -84,6 +87,10 @@ export async function generateText<TOOLS extends Record<string, CoreTool>>({
   maxAutomaticRoundtrips = 0,
   maxToolRoundtrips = maxAutomaticRoundtrips,
   experimental_telemetry: telemetry,
+  _internal: {
+    generateId = originalGenerateId,
+    currentDate = () => new Date(),
+  } = {},
   ...settings
 }: CallSettings &
   Prompt & {
@@ -125,6 +132,14 @@ By default, it's set to 0, which will disable the feature.
      * Optional telemetry configuration (experimental).
      */
     experimental_telemetry?: TelemetrySettings;
+
+    /**
+     * Internal. For test use only. May change without notice.
+     */
+    _internal?: {
+      generateId?: () => string;
+      currentDate?: () => Date;
+    };
   }): Promise<GenerateTextResult<TOOLS>> {
   const baseTelemetryAttributes = getBaseTelemetryAttributes({
     model,
@@ -172,14 +187,14 @@ By default, it's set to 0, which will disable the feature.
 
       let currentModelResponse: Awaited<
         ReturnType<LanguageModel['doGenerate']>
-      >;
+      > & { response: { id: string; timestamp: Date; modelId: string } };
       let currentToolCalls: ToToolCallArray<TOOLS> = [];
       let currentToolResults: ToToolResultArray<TOOLS> = [];
       let roundtripCount = 0;
       const responseMessages: Array<CoreAssistantMessage | CoreToolMessage> =
         [];
       const roundtrips: GenerateTextResult<TOOLS>['roundtrips'] = [];
-      const usage: CompletionTokenUsage = {
+      const usage: LanguageModelUsage = {
         completionTokens: 0,
         promptTokens: 0,
         totalTokens: 0,
@@ -229,6 +244,13 @@ By default, it's set to 0, which will disable the feature.
                 headers,
               });
 
+              // Fill in default values:
+              const responseData = {
+                id: result.response?.id ?? generateId(),
+                timestamp: result.response?.timestamp ?? currentDate(),
+                modelId: result.response?.modelId ?? model.modelId,
+              };
+
               // Add response information to the span:
               span.setAttributes(
                 selectTelemetryAttributes({
@@ -241,6 +263,10 @@ By default, it's set to 0, which will disable the feature.
                     'ai.response.toolCalls': {
                       output: () => JSON.stringify(result.toolCalls),
                     },
+                    'ai.response.id': responseData.id,
+                    'ai.response.model': responseData.modelId,
+                    'ai.response.timestamp':
+                      responseData.timestamp.toISOString(),
 
                     'ai.usage.promptTokens': result.usage.promptTokens,
                     'ai.usage.completionTokens': result.usage.completionTokens,
@@ -256,13 +282,15 @@ By default, it's set to 0, which will disable the feature.
 
                     // standardized gen-ai llm span attributes:
                     'gen_ai.response.finish_reasons': [result.finishReason],
+                    'gen_ai.response.id': responseData.id,
+                    'gen_ai.response.model': responseData.modelId,
                     'gen_ai.usage.input_tokens': result.usage.promptTokens,
                     'gen_ai.usage.output_tokens': result.usage.completionTokens,
                   },
                 }),
               );
 
-              return result;
+              return { ...result, response: responseData };
             },
           }),
         );
@@ -284,7 +312,7 @@ By default, it's set to 0, which will disable the feature.
               });
 
         // token usage:
-        const currentUsage = calculateCompletionTokenUsage(
+        const currentUsage = calculateLanguageModelUsage(
           currentModelResponse.usage,
         );
         usage.completionTokens += currentUsage.completionTokens;
@@ -300,6 +328,10 @@ By default, it's set to 0, which will disable the feature.
           usage: currentUsage,
           warnings: currentModelResponse.warnings,
           logprobs: currentModelResponse.logprobs,
+          response: {
+            ...currentModelResponse.response,
+            headers: currentModelResponse.rawResponse?.headers,
+          },
         });
 
         // append to messages for potential next roundtrip:
@@ -362,7 +394,10 @@ By default, it's set to 0, which will disable the feature.
         finishReason: currentModelResponse.finishReason,
         usage,
         warnings: currentModelResponse.warnings,
-        rawResponse: currentModelResponse.rawResponse,
+        response: {
+          ...currentModelResponse.response,
+          headers: currentModelResponse.rawResponse?.headers,
+        },
         logprobs: currentModelResponse.logprobs,
         responseMessages,
         roundtrips,
@@ -461,6 +496,7 @@ class DefaultGenerateTextResult<TOOLS extends Record<string, CoreTool>>
   readonly rawResponse: GenerateTextResult<TOOLS>['rawResponse'];
   readonly logprobs: GenerateTextResult<TOOLS>['logprobs'];
   readonly experimental_providerMetadata: GenerateTextResult<TOOLS>['experimental_providerMetadata'];
+  readonly response: GenerateTextResult<TOOLS>['response'];
 
   constructor(options: {
     text: GenerateTextResult<TOOLS>['text'];
@@ -469,11 +505,11 @@ class DefaultGenerateTextResult<TOOLS extends Record<string, CoreTool>>
     finishReason: GenerateTextResult<TOOLS>['finishReason'];
     usage: GenerateTextResult<TOOLS>['usage'];
     warnings: GenerateTextResult<TOOLS>['warnings'];
-    rawResponse?: GenerateTextResult<TOOLS>['rawResponse'];
     logprobs: GenerateTextResult<TOOLS>['logprobs'];
     responseMessages: GenerateTextResult<TOOLS>['responseMessages'];
     roundtrips: GenerateTextResult<TOOLS>['roundtrips'];
     providerMetadata: GenerateTextResult<TOOLS>['experimental_providerMetadata'];
+    response: GenerateTextResult<TOOLS>['response'];
   }) {
     this.text = options.text;
     this.toolCalls = options.toolCalls;
@@ -481,11 +517,16 @@ class DefaultGenerateTextResult<TOOLS extends Record<string, CoreTool>>
     this.finishReason = options.finishReason;
     this.usage = options.usage;
     this.warnings = options.warnings;
-    this.rawResponse = options.rawResponse;
-    this.logprobs = options.logprobs;
+    this.response = options.response;
     this.responseMessages = options.responseMessages;
     this.roundtrips = options.roundtrips;
     this.experimental_providerMetadata = options.providerMetadata;
+
+    // deprecated:
+    this.rawResponse = {
+      headers: options.response.headers,
+    };
+    this.logprobs = options.logprobs;
   }
 }
 
diff --git a/packages/ai/core/generate-text/index.ts b/packages/ai/core/generate-text/index.ts
index c0cd1f5669f6..cbc96f2afa31 100644
--- a/packages/ai/core/generate-text/index.ts
+++ b/packages/ai/core/generate-text/index.ts
@@ -1,4 +1,4 @@
-export { generateText } from './generate-text';
+export { generateText, experimental_generateText } from './generate-text';
 export type { GenerateTextResult } from './generate-text-result';
-export { streamText } from './stream-text';
+export { streamText, experimental_streamText } from './stream-text';
 export type { StreamTextResult, TextStreamPart } from './stream-text-result';
diff --git a/packages/ai/core/generate-text/run-tools-transformation.ts b/packages/ai/core/generate-text/run-tools-transformation.ts
index 89bfc719bd36..67f4169c7134 100644
--- a/packages/ai/core/generate-text/run-tools-transformation.ts
+++ b/packages/ai/core/generate-text/run-tools-transformation.ts
@@ -7,8 +7,13 @@ import { recordSpan } from '../telemetry/record-span';
 import { selectTelemetryAttributes } from '../telemetry/select-telemetry-attributes';
 import { TelemetrySettings } from '../telemetry/telemetry-settings';
 import { CoreTool } from '../tool';
-import { FinishReason, LogProbs, ProviderMetadata } from '../types';
-import { calculateCompletionTokenUsage } from '../types/token-usage';
+import {
+  LanguageModelUsage,
+  FinishReason,
+  LogProbs,
+  ProviderMetadata,
+} from '../types';
+import { calculateLanguageModelUsage } from '../types/usage';
 import { parseToolCall, ToToolCall } from './tool-call';
 import { ToToolResult } from './tool-result';
 
@@ -36,15 +41,17 @@ export type SingleRequestTextStreamPart<
   | ({
       type: 'tool-result';
     } & ToToolResult<TOOLS>)
+  | {
+      type: 'response-metadata';
+      id?: string;
+      timestamp?: Date;
+      modelId?: string;
+    }
   | {
       type: 'finish';
       finishReason: FinishReason;
       logprobs?: LogProbs;
-      usage: {
-        promptTokens: number;
-        completionTokens: number;
-        totalTokens: number;
-      };
+      usage: LanguageModelUsage;
       experimental_providerMetadata?: ProviderMetadata;
     }
   | {
@@ -99,6 +106,7 @@ export function runToolsTransformation<TOOLS extends Record<string, CoreTool>>({
       switch (chunkType) {
         // forward:
         case 'text-delta':
+        case 'response-metadata':
         case 'error': {
           controller.enqueue(chunk);
           break;
@@ -252,7 +260,7 @@ export function runToolsTransformation<TOOLS extends Record<string, CoreTool>>({
             type: 'finish',
             finishReason: chunk.finishReason,
             logprobs: chunk.logprobs,
-            usage: calculateCompletionTokenUsage(chunk.usage),
+            usage: calculateLanguageModelUsage(chunk.usage),
             experimental_providerMetadata: chunk.providerMetadata,
           });
           break;
diff --git a/packages/ai/core/generate-text/stream-text-result.ts b/packages/ai/core/generate-text/stream-text-result.ts
index eeaf1a8fbc82..c112f4614156 100644
--- a/packages/ai/core/generate-text/stream-text-result.ts
+++ b/packages/ai/core/generate-text/stream-text-result.ts
@@ -4,10 +4,12 @@ import { CoreTool } from '../tool';
 import {
   CallWarning,
   FinishReason,
+  LanguageModelResponseMetadata,
+  LanguageModelResponseMetadataWithHeaders,
   LogProbs,
   ProviderMetadata,
 } from '../types';
-import { CompletionTokenUsage } from '../types/token-usage';
+import { LanguageModelUsage } from '../types/usage';
 import { AsyncIterableStream } from '../util/async-iterable-stream';
 import { ToToolCall } from './tool-call';
 import { ToToolResult } from './tool-result';
@@ -28,7 +30,7 @@ When there are multiple roundtrips, the usage is the sum of all roundtrip usages
 
 Resolved when the response is finished.
      */
-  readonly usage: Promise<CompletionTokenUsage>;
+  readonly usage: Promise<LanguageModelUsage>;
 
   /**
 The reason why the generation finished. Taken from the last roundtrip.
@@ -67,8 +69,10 @@ Resolved when the all tool executions are finished.
 
   /**
 Optional raw response data.
+
+@deprecated Use `response` instead.
      */
-  // TODO change to async in v4 and use value from last roundtrip
+  // TODO removed in v4
   readonly rawResponse?: {
     /**
   Response headers.
@@ -76,6 +80,11 @@ Optional raw response data.
     headers?: Record<string, string>;
   };
 
+  /**
+Additional response information.
+ */
+  readonly response: Promise<LanguageModelResponseMetadataWithHeaders>;
+
   /**
   A text stream that returns only the generated text deltas. You can use it
   as either an AsyncIterable or a ReadableStream. When an error occurs, the
@@ -217,22 +226,16 @@ export type TextStreamPart<TOOLS extends Record<string, CoreTool>> =
       type: 'roundtrip-finish';
       finishReason: FinishReason;
       logprobs?: LogProbs;
-      usage: {
-        promptTokens: number;
-        completionTokens: number;
-        totalTokens: number;
-      };
+      usage: LanguageModelUsage;
+      response: LanguageModelResponseMetadata;
       experimental_providerMetadata?: ProviderMetadata;
     }
   | {
       type: 'finish';
       finishReason: FinishReason;
       logprobs?: LogProbs;
-      usage: {
-        promptTokens: number;
-        completionTokens: number;
-        totalTokens: number;
-      };
+      usage: LanguageModelUsage;
+      response: LanguageModelResponseMetadata;
       experimental_providerMetadata?: ProviderMetadata;
     }
   | {
diff --git a/packages/ai/core/generate-text/stream-text.test.ts b/packages/ai/core/generate-text/stream-text.test.ts
index bce829b2dfeb..25aecdd75235 100644
--- a/packages/ai/core/generate-text/stream-text.test.ts
+++ b/packages/ai/core/generate-text/stream-text.test.ts
@@ -13,13 +13,13 @@ import {
   formatStreamPart,
   jsonSchema,
 } from '../../streams';
+import { delay } from '../../util/delay';
 import { setTestTracer } from '../telemetry/get-tracer';
 import { MockLanguageModelV1 } from '../test/mock-language-model-v1';
 import { createMockServerResponse } from '../test/mock-server-response';
 import { MockTracer } from '../test/mock-tracer';
+import { mockValues } from '../test/mock-values';
 import { streamText } from './stream-text';
-import { delay } from '../../util/delay';
-import { mockNow } from '../test/mock-now';
 
 describe('result.textStream', () => {
   it('should send text deltas', async () => {
@@ -110,6 +110,12 @@ describe('result.fullStream', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'response-id',
+                modelId: 'response-model-id',
+                timestamp: new Date(5000),
+              },
               { type: 'text-delta', textDelta: 'Hello' },
               { type: 'text-delta', textDelta: ', ' },
               { type: 'text-delta', textDelta: `world!` },
@@ -137,6 +143,11 @@ describe('result.fullStream', () => {
           type: 'roundtrip-finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'response-id',
+            modelId: 'response-model-id',
+            timestamp: new Date(5000),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -144,6 +155,81 @@ describe('result.fullStream', () => {
           type: 'finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'response-id',
+            modelId: 'response-model-id',
+            timestamp: new Date(5000),
+          },
+          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+          experimental_providerMetadata: undefined,
+        },
+      ],
+    );
+  });
+
+  it('should use fallback response metadata when response metadata is not provided', async () => {
+    const result = await streamText({
+      model: new MockLanguageModelV1({
+        doStream: async ({ prompt, mode }) => {
+          assert.deepStrictEqual(mode, {
+            type: 'regular',
+            tools: undefined,
+            toolChoice: undefined,
+          });
+          assert.deepStrictEqual(prompt, [
+            { role: 'user', content: [{ type: 'text', text: 'test-input' }] },
+          ]);
+
+          return {
+            stream: convertArrayToReadableStream([
+              { type: 'text-delta', textDelta: 'Hello' },
+              { type: 'text-delta', textDelta: ', ' },
+              { type: 'text-delta', textDelta: `world!` },
+              {
+                type: 'finish',
+                finishReason: 'stop',
+                logprobs: undefined,
+                usage: { completionTokens: 10, promptTokens: 3 },
+              },
+            ]),
+            rawCall: { rawPrompt: 'prompt', rawSettings: {} },
+          };
+        },
+      }),
+      prompt: 'test-input',
+      _internal: {
+        currentDate: mockValues(new Date(2000)),
+        generateId: mockValues('id-2000'),
+      },
+    });
+
+    assert.deepStrictEqual(
+      await convertAsyncIterableToArray(result.fullStream),
+      [
+        { type: 'text-delta', textDelta: 'Hello' },
+        { type: 'text-delta', textDelta: ', ' },
+        { type: 'text-delta', textDelta: 'world!' },
+        {
+          type: 'roundtrip-finish',
+          finishReason: 'stop',
+          logprobs: undefined,
+          response: {
+            id: 'id-2000',
+            modelId: 'mock-model-id',
+            timestamp: new Date(2000),
+          },
+          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+          experimental_providerMetadata: undefined,
+        },
+        {
+          type: 'finish',
+          finishReason: 'stop',
+          logprobs: undefined,
+          response: {
+            id: 'id-2000',
+            modelId: 'mock-model-id',
+            timestamp: new Date(2000),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -179,6 +265,12 @@ describe('result.fullStream', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               {
                 type: 'tool-call',
                 toolCallType: 'function',
@@ -219,6 +311,11 @@ describe('result.fullStream', () => {
           type: 'roundtrip-finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -226,6 +323,11 @@ describe('result.fullStream', () => {
           type: 'finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -261,6 +363,12 @@ describe('result.fullStream', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               {
                 type: 'tool-call-delta',
                 toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
@@ -350,6 +458,11 @@ describe('result.fullStream', () => {
           type: 'roundtrip-finish',
           finishReason: 'tool-calls',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { promptTokens: 53, completionTokens: 17, totalTokens: 70 },
           experimental_providerMetadata: undefined,
         },
@@ -357,6 +470,11 @@ describe('result.fullStream', () => {
           type: 'finish',
           finishReason: 'tool-calls',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { promptTokens: 53, completionTokens: 17, totalTokens: 70 },
           experimental_providerMetadata: undefined,
         },
@@ -393,6 +511,12 @@ describe('result.fullStream', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               {
                 type: 'tool-call-delta',
                 toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
@@ -529,6 +653,11 @@ describe('result.fullStream', () => {
           type: 'roundtrip-finish',
           finishReason: 'tool-calls',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { promptTokens: 53, completionTokens: 17, totalTokens: 70 },
           experimental_providerMetadata: undefined,
         },
@@ -536,6 +665,11 @@ describe('result.fullStream', () => {
           type: 'finish',
           finishReason: 'tool-calls',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { promptTokens: 53, completionTokens: 17, totalTokens: 70 },
           experimental_providerMetadata: undefined,
         },
@@ -571,6 +705,12 @@ describe('result.fullStream', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               {
                 type: 'tool-call',
                 toolCallType: 'function',
@@ -618,6 +758,11 @@ describe('result.fullStream', () => {
           type: 'roundtrip-finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -625,6 +770,11 @@ describe('result.fullStream', () => {
           type: 'finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -660,6 +810,12 @@ describe('result.fullStream', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               {
                 type: 'tool-call',
                 toolCallType: 'function',
@@ -710,6 +866,11 @@ describe('result.fullStream', () => {
           type: 'roundtrip-finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -717,6 +878,11 @@ describe('result.fullStream', () => {
           type: 'finish',
           finishReason: 'stop',
           logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
           usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
           experimental_providerMetadata: undefined,
         },
@@ -729,6 +895,12 @@ describe('result.fullStream', () => {
       model: new MockLanguageModelV1({
         doStream: async () => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             { type: 'text-delta', textDelta: '' },
             { type: 'text-delta', textDelta: 'Hello' },
             { type: 'text-delta', textDelta: '' },
@@ -749,28 +921,35 @@ describe('result.fullStream', () => {
       prompt: 'test-input',
     });
 
-    assert.deepStrictEqual(
-      await convertAsyncIterableToArray(result.fullStream),
-      [
-        { type: 'text-delta', textDelta: 'Hello' },
-        { type: 'text-delta', textDelta: ', ' },
-        { type: 'text-delta', textDelta: 'world!' },
-        {
-          type: 'roundtrip-finish',
-          finishReason: 'stop',
-          logprobs: undefined,
-          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
-          experimental_providerMetadata: undefined,
-        },
-        {
-          type: 'finish',
-          finishReason: 'stop',
-          logprobs: undefined,
-          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
-          experimental_providerMetadata: undefined,
-        },
-      ],
-    );
+    expect(await convertAsyncIterableToArray(result.fullStream)).toStrictEqual([
+      { type: 'text-delta', textDelta: 'Hello' },
+      { type: 'text-delta', textDelta: ', ' },
+      { type: 'text-delta', textDelta: 'world!' },
+      {
+        type: 'roundtrip-finish',
+        finishReason: 'stop',
+        logprobs: undefined,
+        response: {
+          id: 'id-0',
+          modelId: 'mock-model-id',
+          timestamp: new Date(0),
+        },
+        usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+        experimental_providerMetadata: undefined,
+      },
+      {
+        type: 'finish',
+        finishReason: 'stop',
+        logprobs: undefined,
+        response: {
+          id: 'id-0',
+          modelId: 'mock-model-id',
+          timestamp: new Date(0),
+        },
+        usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+        experimental_providerMetadata: undefined,
+      },
+    ]);
   });
 });
 
@@ -1409,6 +1588,12 @@ describe('multiple stream consumption', () => {
         doStream: async () => {
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               { type: 'text-delta', textDelta: 'Hello' },
               { type: 'text-delta', textDelta: ', ' },
               { type: 'text-delta', textDelta: 'world!' },
@@ -1450,28 +1635,35 @@ describe('multiple stream consumption', () => {
       ],
     );
 
-    assert.deepStrictEqual(
-      await convertAsyncIterableToArray(result.fullStream),
-      [
-        { type: 'text-delta', textDelta: 'Hello' },
-        { type: 'text-delta', textDelta: ', ' },
-        { type: 'text-delta', textDelta: 'world!' },
-        {
-          type: 'roundtrip-finish',
-          finishReason: 'stop',
-          logprobs: undefined,
-          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
-          experimental_providerMetadata: undefined,
-        },
-        {
-          type: 'finish',
-          finishReason: 'stop',
-          logprobs: undefined,
-          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
-          experimental_providerMetadata: undefined,
-        },
-      ],
-    );
+    expect(await convertAsyncIterableToArray(result.fullStream)).toStrictEqual([
+      { type: 'text-delta', textDelta: 'Hello' },
+      { type: 'text-delta', textDelta: ', ' },
+      { type: 'text-delta', textDelta: 'world!' },
+      {
+        type: 'roundtrip-finish',
+        finishReason: 'stop',
+        logprobs: undefined,
+        response: {
+          id: 'id-0',
+          modelId: 'mock-model-id',
+          timestamp: new Date(0),
+        },
+        usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+        experimental_providerMetadata: undefined,
+      },
+      {
+        type: 'finish',
+        finishReason: 'stop',
+        logprobs: undefined,
+        response: {
+          id: 'id-0',
+          modelId: 'mock-model-id',
+          timestamp: new Date(0),
+        },
+        usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+        experimental_providerMetadata: undefined,
+      },
+    ]);
   });
 });
 
@@ -1567,6 +1759,45 @@ describe('result.providerMetadata', () => {
   });
 });
 
+describe('result.response', () => {
+  it('should resolve with response information', async () => {
+    const result = await streamText({
+      model: new MockLanguageModelV1({
+        doStream: async () => ({
+          stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
+            { type: 'text-delta', textDelta: 'Hello' },
+            {
+              type: 'finish',
+              finishReason: 'stop',
+              logprobs: undefined,
+              usage: { completionTokens: 10, promptTokens: 3 },
+            },
+          ]),
+          rawCall: { rawPrompt: 'prompt', rawSettings: {} },
+          rawResponse: { headers: { call: '2' } },
+        }),
+      }),
+      prompt: 'test-input',
+    });
+
+    // consume stream (runs in parallel)
+    convertAsyncIterableToArray(result.textStream);
+
+    assert.deepStrictEqual(await result.response, {
+      id: 'id-0',
+      modelId: 'mock-model-id',
+      timestamp: new Date(0),
+      headers: { call: '2' },
+    });
+  });
+});
+
 describe('result.text', () => {
   it('should resolve with full text', async () => {
     const result = await streamText({
@@ -1875,99 +2106,60 @@ describe('options.onChunk', () => {
   });
 });
 
-describe('options.onFinish', () => {
+it('options.onFinish should send correct information', async () => {
   let result: Parameters<
     Required<Parameters<typeof streamText>[0]>['onFinish']
   >[0];
 
-  beforeEach(async () => {
-    const { textStream } = await streamText({
-      model: new MockLanguageModelV1({
-        doStream: async ({}) => ({
-          stream: convertArrayToReadableStream([
-            { type: 'text-delta', textDelta: 'Hello' },
-            { type: 'text-delta', textDelta: ', ' },
-            {
-              type: 'tool-call',
-              toolCallType: 'function',
-              toolCallId: 'call-1',
-              toolName: 'tool1',
-              args: `{ "value": "value" }`,
-            },
-            { type: 'text-delta', textDelta: `world!` },
-            {
-              type: 'finish',
-              finishReason: 'stop',
-              logprobs: undefined,
-              usage: { completionTokens: 10, promptTokens: 3 },
-              providerMetadata: {
-                testProvider: { testKey: 'testValue' },
-              },
+  const { textStream } = await streamText({
+    model: new MockLanguageModelV1({
+      doStream: async ({}) => ({
+        stream: convertArrayToReadableStream([
+          {
+            type: 'response-metadata',
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
+          },
+          { type: 'text-delta', textDelta: 'Hello' },
+          { type: 'text-delta', textDelta: ', ' },
+          {
+            type: 'tool-call',
+            toolCallType: 'function',
+            toolCallId: 'call-1',
+            toolName: 'tool1',
+            args: `{ "value": "value" }`,
+          },
+          { type: 'text-delta', textDelta: `world!` },
+          {
+            type: 'finish',
+            finishReason: 'stop',
+            logprobs: undefined,
+            usage: { completionTokens: 10, promptTokens: 3 },
+            providerMetadata: {
+              testProvider: { testKey: 'testValue' },
             },
-          ]),
-          rawCall: { rawPrompt: 'prompt', rawSettings: {} },
-        }),
+          },
+        ]),
+        rawCall: { rawPrompt: 'prompt', rawSettings: {} },
+        rawResponse: { headers: { call: '2' } },
       }),
-      tools: {
-        tool1: {
-          parameters: z.object({ value: z.string() }),
-          execute: async ({ value }) => `${value}-result`,
-        },
-      },
-      prompt: 'test-input',
-      onFinish: async event => {
-        result = event as unknown as typeof result;
-      },
-    });
-
-    // consume stream
-    await convertAsyncIterableToArray(textStream);
-  });
-
-  it('should contain token usage', async () => {
-    assert.deepStrictEqual(result.usage, {
-      completionTokens: 10,
-      promptTokens: 3,
-      totalTokens: 13,
-    });
-  });
-
-  it('should contain finish reason', async () => {
-    assert.strictEqual(result.finishReason, 'stop');
-  });
-
-  it('should contain full text', async () => {
-    assert.strictEqual(result.text, 'Hello, world!');
-  });
-
-  it('should contain tool calls', async () => {
-    assert.deepStrictEqual(result.toolCalls, [
-      {
-        type: 'tool-call',
-        toolCallId: 'call-1',
-        toolName: 'tool1',
-        args: { value: 'value' },
+    }),
+    tools: {
+      tool1: {
+        parameters: z.object({ value: z.string() }),
+        execute: async ({ value }) => `${value}-result`,
       },
-    ]);
+    },
+    prompt: 'test-input',
+    onFinish: async event => {
+      result = event as unknown as typeof result;
+    },
   });
 
-  it('should contain tool results', async () => {
-    assert.deepStrictEqual(result.toolResults, [
-      {
-        type: 'tool-result',
-        toolCallId: 'call-1',
-        toolName: 'tool1',
-        args: { value: 'value' },
-        result: 'value-result',
-      },
-    ]);
-  });
+  await convertAsyncIterableToArray(textStream); // consume stream
 
-  it('should contain provider metadata', async () => {
-    assert.deepStrictEqual(result.experimental_providerMetadata, {
-      testProvider: { testKey: 'testValue' },
-    });
-  });
+  expect(result!).toMatchSnapshot();
 });
 
 describe('options.maxToolRoundtrips', () => {
@@ -2025,6 +2217,12 @@ describe('options.maxToolRoundtrips', () => {
 
                 return {
                   stream: convertArrayToReadableStream([
+                    {
+                      type: 'response-metadata',
+                      id: 'id-0',
+                      modelId: 'mock-model-id',
+                      timestamp: new Date(0),
+                    },
                     {
                       type: 'tool-call',
                       toolCallType: 'function',
@@ -2096,6 +2294,12 @@ describe('options.maxToolRoundtrips', () => {
 
                 return {
                   stream: convertArrayToReadableStream([
+                    {
+                      type: 'response-metadata',
+                      id: 'id-1',
+                      modelId: 'mock-model-id',
+                      timestamp: new Date(1000),
+                    },
                     { type: 'text-delta', textDelta: 'Hello, ' },
                     { type: 'text-delta', textDelta: `world!` },
                     {
@@ -2129,66 +2333,82 @@ describe('options.maxToolRoundtrips', () => {
         },
         experimental_telemetry: { isEnabled: true },
         maxToolRoundtrips: 2,
-        _internal: { now: mockNow([0, 100, 500, 600, 1000]) },
+        _internal: {
+          now: mockValues(0, 100, 500, 600, 1000),
+        },
       });
     });
 
     it('should contain assistant response message and tool message from all roundtrips', async () => {
-      assert.deepStrictEqual(
+      expect(
         await convertAsyncIterableToArray(result.fullStream),
-        [
-          {
-            type: 'tool-call',
-            toolCallId: 'call-1',
-            toolName: 'tool1',
-            args: { value: 'value' },
-          },
-          {
-            type: 'tool-result',
-            toolCallId: 'call-1',
-            toolName: 'tool1',
-            args: { value: 'value' },
-            result: 'result1',
-          },
-          {
-            type: 'roundtrip-finish',
-            finishReason: 'tool-calls',
-            logprobs: undefined,
-            experimental_providerMetadata: undefined,
-            usage: {
-              completionTokens: 10,
-              promptTokens: 3,
-              totalTokens: 13,
-            },
+      ).toStrictEqual([
+        {
+          type: 'tool-call',
+          toolCallId: 'call-1',
+          toolName: 'tool1',
+          args: { value: 'value' },
+        },
+        {
+          type: 'tool-result',
+          toolCallId: 'call-1',
+          toolName: 'tool1',
+          args: { value: 'value' },
+          result: 'result1',
+        },
+        {
+          type: 'roundtrip-finish',
+          finishReason: 'tool-calls',
+          logprobs: undefined,
+          response: {
+            id: 'id-0',
+            modelId: 'mock-model-id',
+            timestamp: new Date(0),
           },
-          {
-            type: 'text-delta',
-            textDelta: 'Hello, ',
+          experimental_providerMetadata: undefined,
+          usage: {
+            completionTokens: 10,
+            promptTokens: 3,
+            totalTokens: 13,
           },
-          {
-            type: 'text-delta',
-            textDelta: 'world!',
+        },
+        {
+          type: 'text-delta',
+          textDelta: 'Hello, ',
+        },
+        {
+          type: 'text-delta',
+          textDelta: 'world!',
+        },
+        {
+          type: 'roundtrip-finish',
+          finishReason: 'stop',
+          logprobs: undefined,
+          experimental_providerMetadata: undefined,
+          response: {
+            id: 'id-1',
+            modelId: 'mock-model-id',
+            timestamp: new Date(1000),
           },
-          {
-            type: 'roundtrip-finish',
-            finishReason: 'stop',
-            logprobs: undefined,
-            experimental_providerMetadata: undefined,
-            usage: {
-              completionTokens: 5,
-              promptTokens: 1,
-              totalTokens: 6,
-            },
+          usage: {
+            completionTokens: 5,
+            promptTokens: 1,
+            totalTokens: 6,
           },
-          {
-            type: 'finish',
-            finishReason: 'stop',
-            logprobs: undefined,
-            usage: { completionTokens: 15, promptTokens: 4, totalTokens: 19 },
-            experimental_providerMetadata: undefined,
+        },
+        {
+          type: 'finish',
+          finishReason: 'stop',
+          logprobs: undefined,
+          response: {
+            id: 'id-1',
+            modelId: 'mock-model-id',
+            timestamp: new Date(1000),
           },
-        ],
-      );
+          usage: { completionTokens: 15, promptTokens: 4, totalTokens: 19 },
+          experimental_providerMetadata: undefined,
+        },
+      ]);
     });
 
     describe('rawSettings', () => {
@@ -2201,26 +2421,9 @@ describe('options.maxToolRoundtrips', () => {
       });
     });
 
-    describe('onFinish', () => {
-      beforeEach(async () => {
-        await convertAsyncIterableToArray(result.fullStream); // consume stream
-      });
-
-      it('should contain total token usage', async () => {
-        assert.deepStrictEqual(onFinishResult.usage, {
-          completionTokens: 15,
-          promptTokens: 4,
-          totalTokens: 19,
-        });
-      });
-
-      it('should contain finish reason from final roundtrip', async () => {
-        assert.strictEqual(onFinishResult.finishReason, 'stop');
-      });
-
-      it('should contain text from final roundtrip', async () => {
-        assert.strictEqual(onFinishResult.text, 'Hello, world!');
-      });
+    it('onFinish should send correct information', async () => {
+      await convertAsyncIterableToArray(result.fullStream); // consume stream
+      expect(onFinishResult).toMatchSnapshot();
     });
 
     describe('value promises', () => {
@@ -2305,6 +2508,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async ({}) => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             { type: 'text-delta', textDelta: 'Hello' },
             { type: 'text-delta', textDelta: ', ' },
             { type: 'text-delta', textDelta: `world!` },
@@ -2319,7 +2528,9 @@ describe('telemetry', () => {
         }),
       }),
       prompt: 'test-input',
-      _internal: { now: mockNow([0, 100, 500]) },
+      _internal: {
+        now: mockValues(0, 100, 500),
+      },
     });
 
     // consume stream
@@ -2333,6 +2544,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async ({}) => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             { type: 'text-delta', textDelta: 'Hello' },
             { type: 'text-delta', textDelta: ', ' },
             { type: 'text-delta', textDelta: `world!` },
@@ -2365,7 +2582,7 @@ describe('telemetry', () => {
           test2: false,
         },
       },
-      _internal: { now: mockNow([0, 100, 500]) },
+      _internal: { now: mockValues(0, 100, 500) },
     });
 
     // consume stream
@@ -2379,6 +2596,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async ({}) => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             {
               type: 'tool-call',
               toolCallType: 'function',
@@ -2404,7 +2627,7 @@ describe('telemetry', () => {
       },
       prompt: 'test-input',
       experimental_telemetry: { isEnabled: true },
-      _internal: { now: mockNow([0, 100, 500]) },
+      _internal: { now: mockValues(0, 100, 500) },
     });
 
     // consume stream
@@ -2418,6 +2641,12 @@ describe('telemetry', () => {
       model: new MockLanguageModelV1({
         doStream: async ({}) => ({
           stream: convertArrayToReadableStream([
+            {
+              type: 'response-metadata',
+              id: 'id-0',
+              modelId: 'mock-model-id',
+              timestamp: new Date(0),
+            },
             {
               type: 'tool-call',
               toolCallType: 'function',
@@ -2447,7 +2676,7 @@ describe('telemetry', () => {
         recordInputs: false,
         recordOutputs: false,
       },
-      _internal: { now: mockNow([0, 100, 500]) },
+      _internal: { now: mockValues(0, 100, 500) },
     });
 
     // consume stream
@@ -2485,6 +2714,12 @@ describe('tools with custom schema', () => {
 
           return {
             stream: convertArrayToReadableStream([
+              {
+                type: 'response-metadata',
+                id: 'id-0',
+                modelId: 'mock-model-id',
+                timestamp: new Date(0),
+              },
               {
                 type: 'tool-call',
                 toolCallType: 'function',
@@ -2515,33 +2750,42 @@ describe('tools with custom schema', () => {
       },
       toolChoice: 'required',
       prompt: 'test-input',
-      _internal: { now: mockNow([0, 100, 500]) },
+      _internal: {
+        now: mockValues(0, 100, 500),
+      },
     });
 
-    assert.deepStrictEqual(
-      await convertAsyncIterableToArray(result.fullStream),
-      [
-        {
-          type: 'tool-call',
-          toolCallId: 'call-1',
-          toolName: 'tool1',
-          args: { value: 'value' },
-        },
-        {
-          type: 'roundtrip-finish',
-          finishReason: 'stop',
-          logprobs: undefined,
-          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
-          experimental_providerMetadata: undefined,
-        },
-        {
-          type: 'finish',
-          finishReason: 'stop',
-          logprobs: undefined,
-          usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
-          experimental_providerMetadata: undefined,
-        },
-      ],
-    );
+    expect(await convertAsyncIterableToArray(result.fullStream)).toStrictEqual([
+      {
+        type: 'tool-call',
+        toolCallId: 'call-1',
+        toolName: 'tool1',
+        args: { value: 'value' },
+      },
+      {
+        type: 'roundtrip-finish',
+        finishReason: 'stop',
+        logprobs: undefined,
+        response: {
+          id: 'id-0',
+          modelId: 'mock-model-id',
+          timestamp: new Date(0),
+        },
+        usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+        experimental_providerMetadata: undefined,
+      },
+      {
+        type: 'finish',
+        finishReason: 'stop',
+        logprobs: undefined,
+        response: {
+          id: 'id-0',
+          modelId: 'mock-model-id',
+          timestamp: new Date(0),
+        },
+        usage: { completionTokens: 10, promptTokens: 3, totalTokens: 13 },
+        experimental_providerMetadata: undefined,
+      },
+    ]);
   });
 });
diff --git a/packages/ai/core/generate-text/stream-text.ts b/packages/ai/core/generate-text/stream-text.ts
index c6d149577c4f..e05bda2eca44 100644
--- a/packages/ai/core/generate-text/stream-text.ts
+++ b/packages/ai/core/generate-text/stream-text.ts
@@ -1,4 +1,5 @@
 import { LanguageModelV1Prompt } from '@ai-sdk/provider';
+import { createIdGenerator } from '@ai-sdk/provider-utils';
 import { Span } from '@opentelemetry/api';
 import { ServerResponse } from 'node:http';
 import {
@@ -30,10 +31,11 @@ import {
   CoreToolChoice,
   FinishReason,
   LanguageModel,
+  LanguageModelResponseMetadataWithHeaders,
   LogProbs,
   ProviderMetadata,
 } from '../types';
-import { CompletionTokenUsage } from '../types/token-usage';
+import { LanguageModelUsage } from '../types/usage';
 import {
   AsyncIterableStream,
   createAsyncIterableStream,
@@ -51,6 +53,8 @@ import { toResponseMessages } from './to-response-messages';
 import { ToToolCall } from './tool-call';
 import { ToToolResult } from './tool-result';
 
+const originalGenerateId = createIdGenerator({ prefix: 'aitxt-', length: 24 });
+
 /**
 Generate a text and call tools for a given prompt using a language model.
 
@@ -112,7 +116,11 @@ export async function streamText<TOOLS extends Record<string, CoreTool>>({
   experimental_toolCallStreaming: toolCallStreaming = false,
   onChunk,
   onFinish,
-  _internal: { now = originalNow } = {},
+  _internal: {
+    now = originalNow,
+    generateId = originalGenerateId,
+    currentDate = () => new Date(),
+  } = {},
   ...settings
 }: CallSettings &
   Prompt & {
@@ -185,7 +193,7 @@ The reason why the generation finished.
       /**
 The token usage of the generated response.
  */
-      usage: CompletionTokenUsage;
+      usage: LanguageModelUsage;
 
       /**
 The full text that has been generated.
@@ -204,6 +212,8 @@ The tool results that have been generated.
 
       /**
 Optional raw response data.
+
+@deprecated Use `response` instead.
        */
       rawResponse?: {
         /**
@@ -212,6 +222,11 @@ Response headers.
         headers?: Record<string, string>;
       };
 
+      /**
+Response metadata.
+       */
+      response: LanguageModelResponseMetadataWithHeaders;
+
       /**
 Warnings from the model provider (e.g. unsupported settings).
        */
@@ -230,6 +245,8 @@ results that can be fully encapsulated in the provider.
      */
     _internal?: {
       now?: () => number;
+      generateId?: () => string;
+      currentDate?: () => Date;
     };
   }): Promise<StreamTextResult<TOOLS>> {
   const baseTelemetryAttributes = getBaseTelemetryAttributes({
@@ -364,7 +381,10 @@ results that can be fully encapsulated in the provider.
         maxToolRoundtrips,
         startRoundtrip,
         promptMessages,
+        modelId: model.modelId,
         now,
+        currentDate,
+        generateId,
       });
     },
   });
@@ -402,6 +422,7 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
   readonly text: StreamTextResult<TOOLS>['text'];
   readonly toolCalls: StreamTextResult<TOOLS>['toolCalls'];
   readonly toolResults: StreamTextResult<TOOLS>['toolResults'];
+  readonly response: StreamTextResult<TOOLS>['response'];
 
   constructor({
     stream,
@@ -416,7 +437,10 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
     maxToolRoundtrips,
     startRoundtrip,
     promptMessages,
+    modelId,
     now,
+    currentDate,
+    generateId,
   }: {
     stream: ReadableStream<SingleRequestTextStreamPart<TOOLS>>;
     warnings: StreamTextResult<TOOLS>['warnings'];
@@ -430,14 +454,17 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
     maxToolRoundtrips: number;
     startRoundtrip: StartRoundtripFunction<TOOLS>;
     promptMessages: LanguageModelV1Prompt;
+    modelId: string;
     now: () => number;
+    currentDate: () => Date;
+    generateId: () => string;
   }) {
     this.warnings = warnings;
     this.rawResponse = rawResponse;
 
     // initialize usage promise
     const { resolve: resolveUsage, promise: usagePromise } =
-      createResolvablePromise<CompletionTokenUsage>();
+      createResolvablePromise<LanguageModelUsage>();
     this.usage = usagePromise;
 
     // initialize finish reason promise
@@ -467,6 +494,11 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
     } = createResolvablePromise<ProviderMetadata | undefined>();
     this.experimental_providerMetadata = providerMetadataPromise;
 
+    // initialize response promise
+    const { resolve: resolveResponse, promise: responsePromise } =
+      createResolvablePromise<Awaited<StreamTextResult<TOOLS>['response']>>();
+    this.response = responsePromise;
+
     // create a stitchable stream to send roundtrips in a single response stream
     const {
       stream: stitchableStream,
@@ -491,17 +523,17 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
         totalTokens: 0,
       },
     }: {
-      stream: ReadableStream<TextStreamPart<TOOLS>>;
+      stream: ReadableStream<SingleRequestTextStreamPart<TOOLS>>;
       startTimestamp: number;
       doStreamSpan: Span;
       currentToolRoundtrip: number;
       promptMessages: LanguageModelV1Prompt;
-      usage: CompletionTokenUsage | undefined;
+      usage: LanguageModelUsage | undefined;
     }) {
       const roundtripToolCalls: ToToolCall<TOOLS>[] = [];
       const roundtripToolResults: ToToolResult<TOOLS>[] = [];
       let roundtripFinishReason: FinishReason = 'unknown';
-      let roundtripUsage: CompletionTokenUsage = {
+      let roundtripUsage: LanguageModelUsage = {
         promptTokens: 0,
         completionTokens: 0,
         totalTokens: 0,
@@ -510,6 +542,15 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
       let roundtripFirstChunk = true;
       let roundtripText = '';
       let roundtripLogProbs: LogProbs | undefined;
+      let roundtripResponse: {
+        id: string;
+        timestamp: Date;
+        modelId: string;
+      } = {
+        id: generateId(),
+        timestamp: currentDate(),
+        modelId,
+      };
 
       addStream(
         stream.pipeThrough(
@@ -546,29 +587,41 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
 
               const chunkType = chunk.type;
               switch (chunkType) {
-                case 'text-delta':
+                case 'text-delta': {
                   controller.enqueue(chunk);
                   // create the full text from text deltas (for onFinish callback and text promise):
                   roundtripText += chunk.textDelta;
                   await onChunk?.({ chunk });
                   break;
+                }
 
-                case 'tool-call':
+                case 'tool-call': {
                   controller.enqueue(chunk);
                   // store tool calls for onFinish callback and toolCalls promise:
                   roundtripToolCalls.push(chunk);
                   await onChunk?.({ chunk });
                   break;
+                }
 
-                case 'tool-result':
+                case 'tool-result': {
                   controller.enqueue(chunk);
                   // store tool results for onFinish callback and toolResults promise:
                   roundtripToolResults.push(chunk);
                   // as any needed, bc type inferences mixed up tool-result with tool-call
                   await onChunk?.({ chunk: chunk as any });
                   break;
+                }
+
+                case 'response-metadata': {
+                  roundtripResponse = {
+                    id: chunk.id ?? roundtripResponse.id,
+                    timestamp: chunk.timestamp ?? roundtripResponse.timestamp,
+                    modelId: chunk.modelId ?? roundtripResponse.modelId,
+                  };
+                  break;
+                }
 
-                case 'finish':
+                case 'finish': {
                   // Note: tool executions might not be finished yet when the finish event is emitted.
                   // store usage and finish reason for promises and onFinish callback:
                   roundtripUsage = chunk.usage;
@@ -588,6 +641,7 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                   });
 
                   break;
+                }
 
                 case 'tool-call-streaming-start':
                 case 'tool-call-delta': {
@@ -596,10 +650,11 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                   break;
                 }
 
-                case 'error':
+                case 'error': {
                   controller.enqueue(chunk);
                   roundtripFinishReason = 'error';
                   break;
+                }
 
                 default: {
                   const exhaustiveCheck: never = chunkType;
@@ -616,6 +671,7 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                 usage: roundtripUsage,
                 experimental_providerMetadata: roundtripProviderMetadata,
                 logprobs: roundtripLogProbs,
+                response: roundtripResponse,
               });
 
               const telemetryToolCalls =
@@ -633,6 +689,10 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                       'ai.response.toolCalls': {
                         output: () => telemetryToolCalls,
                       },
+                      'ai.response.id': roundtripResponse.id,
+                      'ai.response.model': roundtripResponse.modelId,
+                      'ai.response.timestamp':
+                        roundtripResponse.timestamp.toISOString(),
 
                       'ai.usage.promptTokens': roundtripUsage.promptTokens,
                       'ai.usage.completionTokens':
@@ -647,6 +707,8 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
 
                       // standardized gen-ai llm span attributes:
                       'gen_ai.response.finish_reasons': [roundtripFinishReason],
+                      'gen_ai.response.id': roundtripResponse.id,
+                      'gen_ai.response.model': roundtripResponse.modelId,
                       'gen_ai.usage.input_tokens': roundtripUsage.promptTokens,
                       'gen_ai.usage.output_tokens':
                         roundtripUsage.completionTokens,
@@ -722,6 +784,7 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                   usage: combinedUsage,
                   experimental_providerMetadata: roundtripProviderMetadata,
                   logprobs: roundtripLogProbs,
+                  response: roundtripResponse,
                 });
 
                 // close the stitchable stream
@@ -759,6 +822,10 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                 resolveToolCalls(roundtripToolCalls);
                 resolveProviderMetadata(roundtripProviderMetadata);
                 resolveToolResults(roundtripToolResults);
+                resolveResponse({
+                  ...roundtripResponse,
+                  headers: rawResponse?.headers,
+                });
 
                 // call onFinish callback:
                 await onFinish?.({
@@ -772,6 +839,10 @@ class DefaultStreamTextResult<TOOLS extends Record<string, CoreTool>>
                   // The type exposed to the users will be correctly inferred.
                   toolResults: roundtripToolResults as any,
                   rawResponse,
+                  response: {
+                    ...roundtripResponse,
+                    headers: rawResponse?.headers,
+                  },
                   warnings,
                   experimental_providerMetadata: roundtripProviderMetadata,
                 });
diff --git a/packages/ai/core/test/mock-embedding-model-v1.ts b/packages/ai/core/test/mock-embedding-model-v1.ts
index c9606dfa7c40..a77b465d682f 100644
--- a/packages/ai/core/test/mock-embedding-model-v1.ts
+++ b/packages/ai/core/test/mock-embedding-model-v1.ts
@@ -1,6 +1,6 @@
 import { EmbeddingModelV1 } from '@ai-sdk/provider';
 import { Embedding } from '../types';
-import { EmbeddingTokenUsage } from '../types/token-usage';
+import { EmbeddingModelUsage } from '../types/usage';
 
 export class MockEmbeddingModelV1<VALUE> implements EmbeddingModelV1<VALUE> {
   readonly specificationVersion = 'v1';
@@ -38,7 +38,7 @@ export class MockEmbeddingModelV1<VALUE> implements EmbeddingModelV1<VALUE> {
 export function mockEmbed<VALUE>(
   expectedValues: Array<VALUE>,
   embeddings: Array<Embedding>,
-  usage?: EmbeddingTokenUsage,
+  usage?: EmbeddingModelUsage,
 ): EmbeddingModelV1<VALUE>['doEmbed'] {
   return async ({ values }) => {
     assert.deepStrictEqual(expectedValues, values);
diff --git a/packages/ai/core/test/mock-id.ts b/packages/ai/core/test/mock-id.ts
new file mode 100644
index 000000000000..e8ae98e347f9
--- /dev/null
+++ b/packages/ai/core/test/mock-id.ts
@@ -0,0 +1,4 @@
+export function mockId(): () => string {
+  let counter = 0;
+  return () => `id-${counter++}`;
+}
diff --git a/packages/ai/core/test/mock-now.ts b/packages/ai/core/test/mock-values.ts
similarity index 59%
rename from packages/ai/core/test/mock-now.ts
rename to packages/ai/core/test/mock-values.ts
index 9f9684ace4b4..bcf5f14da356 100644
--- a/packages/ai/core/test/mock-now.ts
+++ b/packages/ai/core/test/mock-values.ts
@@ -1,4 +1,4 @@
-export function mockNow(values: number[]): () => number {
+export function mockValues<T>(...values: T[]): () => T {
   let counter = 0;
   return () => values[counter++] ?? values[values.length - 1];
 }
diff --git a/packages/ai/core/types/index.ts b/packages/ai/core/types/index.ts
index b244aff221b9..c61c686370d9 100644
--- a/packages/ai/core/types/index.ts
+++ b/packages/ai/core/types/index.ts
@@ -1,12 +1,25 @@
-import type { CompletionTokenUsage as CompletionTokenUsageOriginal } from './token-usage';
+import type {
+  LanguageModelUsage as LanguageModelUsageOriginal,
+  EmbeddingModelUsage as EmbeddingModelUsageOriginal,
+} from './usage';
 
 export * from './embedding-model';
 export * from './language-model';
 export type { Provider } from './provider';
 export type { ProviderMetadata } from './provider-metadata';
-export type { EmbeddingTokenUsage } from './token-usage';
+
+/**
+ * @deprecated Use LanguageModelUsage instead.
+ */
+export type TokenUsage = LanguageModelUsageOriginal;
+/**
+ * @deprecated Use LanguageModelUsage instead.
+ */
+export type CompletionTokenUsage = LanguageModelUsageOriginal;
+export type LanguageModelUsage = LanguageModelUsageOriginal;
+
 /**
- * @deprecated Use CompletionTokenUsage instead.
+ * @deprecated Use EmbeddingModelUsage instead.
  */
-export type TokenUsage = CompletionTokenUsageOriginal;
-export type CompletionTokenUsage = CompletionTokenUsageOriginal;
+export type EmbeddingTokenUsage = EmbeddingModelUsageOriginal;
+export type EmbeddingModelUsage = EmbeddingModelUsageOriginal;
diff --git a/packages/ai/core/types/language-model.ts b/packages/ai/core/types/language-model.ts
index a7d490a0beb5..56ba75701dd1 100644
--- a/packages/ai/core/types/language-model.ts
+++ b/packages/ai/core/types/language-model.ts
@@ -25,6 +25,8 @@ export type FinishReason = LanguageModelV1FinishReason;
 
 /**
 Log probabilities for each token and its top log probabilities.
+
+@deprecated Will become a provider extension in the future.
  */
 export type LogProbs = LanguageModelV1LogProbs;
 
@@ -48,3 +50,25 @@ export type CoreToolChoice<TOOLS extends Record<string, unknown>> =
   | 'none'
   | 'required'
   | { type: 'tool'; toolName: keyof TOOLS };
+
+export type LanguageModelResponseMetadata = {
+  /**
+ID for the generated response.
+     */
+  id: string;
+
+  /**
+Timestamp for the start of the generated response.
+*/
+  timestamp: Date;
+
+  /**
+The ID of the response model that was used to generate the response.
+*/
+  modelId: string;
+};
+
+export type LanguageModelResponseMetadataWithHeaders =
+  LanguageModelResponseMetadata & {
+    headers?: Record<string, string>;
+  };
diff --git a/packages/ai/core/types/token-usage.ts b/packages/ai/core/types/usage.ts
similarity index 58%
rename from packages/ai/core/types/token-usage.ts
rename to packages/ai/core/types/usage.ts
index 73166a0a56b8..022f80f091da 100644
--- a/packages/ai/core/types/token-usage.ts
+++ b/packages/ai/core/types/usage.ts
@@ -1,7 +1,7 @@
 /**
 Represents the number of tokens used in a prompt and completion.
  */
-export type CompletionTokenUsage = {
+export type LanguageModelUsage = {
   /**
 The number of tokens used in the prompt.
    */
@@ -18,20 +18,34 @@ The total number of tokens used (promptTokens + completionTokens).
   totalTokens: number;
 };
 
+/**
+Represents the number of tokens used in a prompt and completion.
+
+@deprecated Use `LanguageModelUsage` instead.
+ */
+export type CompletionTokenUsage = LanguageModelUsage;
+
 /**
 Represents the number of tokens used in an embedding.
  */
-export type EmbeddingTokenUsage = {
+export type EmbeddingModelUsage = {
   /**
 The number of tokens used in the embedding.
    */
   tokens: number;
 };
 
-export function calculateCompletionTokenUsage(usage: {
+/**
+Represents the number of tokens used in an embedding.
+
+@deprecated Use `EmbeddingModelUsage` instead.
+ */
+export type EmbeddingTokenUsage = EmbeddingModelUsage;
+
+export function calculateLanguageModelUsage(usage: {
   promptTokens: number;
   completionTokens: number;
-}): CompletionTokenUsage {
+}): LanguageModelUsage {
   return {
     promptTokens: usage.promptTokens,
     completionTokens: usage.completionTokens,
diff --git a/packages/ai/rsc/stream-ui/stream-ui.tsx b/packages/ai/rsc/stream-ui/stream-ui.tsx
index a093d9a8ab52..b0631051cb18 100644
--- a/packages/ai/rsc/stream-ui/stream-ui.tsx
+++ b/packages/ai/rsc/stream-ui/stream-ui.tsx
@@ -10,9 +10,9 @@ import { Prompt } from '../../core/prompt/prompt';
 import { validatePrompt } from '../../core/prompt/validate-prompt';
 import { CallWarning, CoreToolChoice, FinishReason } from '../../core/types';
 import {
-  CompletionTokenUsage,
-  calculateCompletionTokenUsage,
-} from '../../core/types/token-usage';
+  LanguageModelUsage,
+  calculateLanguageModelUsage,
+} from '../../core/types/usage';
 import { InvalidToolArgumentsError } from '../../errors/invalid-tool-arguments-error';
 import { NoSuchToolError } from '../../errors/no-such-tool-error';
 import { createResolvablePromise } from '../../util/create-resolvable-promise';
@@ -124,7 +124,7 @@ export async function streamUI<
       /**
        * The token usage of the generated response.
        */
-      usage: CompletionTokenUsage;
+      usage: LanguageModelUsage;
       /**
        * The final ui node that was generated.
        */
@@ -327,7 +327,7 @@ export async function streamUI<
           case 'finish': {
             onFinish?.({
               finishReason: value.finishReason,
-              usage: calculateCompletionTokenUsage(value.usage),
+              usage: calculateLanguageModelUsage(value.usage),
               value: ui.value,
               warnings: result.warnings,
               rawResponse: result.rawResponse,
diff --git a/packages/anthropic/src/anthropic-messages-language-model.test.ts b/packages/anthropic/src/anthropic-messages-language-model.test.ts
index 9386616a43da..f0a9a049c900 100644
--- a/packages/anthropic/src/anthropic-messages-language-model.test.ts
+++ b/packages/anthropic/src/anthropic-messages-language-model.test.ts
@@ -26,6 +26,8 @@ describe('doGenerate', () => {
       output_tokens: 30,
     },
     stopReason = 'end_turn',
+    id = 'msg_017TfcQ4AgGxKyBduUpqYPZn',
+    model = 'claude-3-haiku-20240307',
   }: {
     content?: AnthropicAssistantMessage['content'];
     usage?: {
@@ -35,13 +37,15 @@ describe('doGenerate', () => {
       cache_read_input_tokens?: number;
     };
     stopReason?: string;
+    id?: string;
+    model?: string;
   }) {
     server.responseBodyJson = {
-      id: 'msg_017TfcQ4AgGxKyBduUpqYPZn',
+      id,
       type: 'message',
       role: 'assistant',
       content,
-      model: 'claude-3-haiku-20240307',
+      model,
       stop_reason: stopReason,
       stop_sequence: null,
       usage,
@@ -196,6 +200,24 @@ describe('doGenerate', () => {
     });
   });
 
+  it('should send additional response information', async () => {
+    prepareJsonResponse({
+      id: 'test-id',
+      model: 'test-model',
+    });
+
+    const { response } = await model.doGenerate({
+      inputFormat: 'prompt',
+      mode: { type: 'regular' },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(response).toStrictEqual({
+      id: 'test-id',
+      modelId: 'test-model',
+    });
+  });
+
   it('should expose the raw response headers', async () => {
     prepareJsonResponse({});
 
@@ -404,6 +426,11 @@ describe('doStream', () => {
 
     // note: space moved to last chunk bc of trimming
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'msg_01KfpJoAEabmH2iHRRFjQMAG',
+        modelId: 'claude-3-haiku-20240307',
+      },
       { type: 'text-delta', textDelta: 'Hello' },
       { type: 'text-delta', textDelta: ', ' },
       { type: 'text-delta', textDelta: 'World!' },
@@ -458,6 +485,11 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'msg_01GouTqNCGXzrj5LQ5jEkw67',
+        modelId: 'claude-3-haiku-20240307',
+      },
       {
         type: 'text-delta',
         textDelta: 'Okay',
@@ -539,6 +571,11 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'msg_01KfpJoAEabmH2iHRRFjQMAG',
+        modelId: 'claude-3-haiku-20240307',
+      },
       { type: 'error', error: { type: 'error', message: 'test error' } },
     ]);
   });
@@ -640,6 +677,11 @@ describe('doStream', () => {
 
     // note: space moved to last chunk bc of trimming
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'msg_01KfpJoAEabmH2iHRRFjQMAG',
+        modelId: 'claude-3-haiku-20240307',
+      },
       { type: 'text-delta', textDelta: 'Hello' },
       {
         type: 'finish',
diff --git a/packages/anthropic/src/anthropic-messages-language-model.ts b/packages/anthropic/src/anthropic-messages-language-model.ts
index b12d381836db..64f652f0a18b 100644
--- a/packages/anthropic/src/anthropic-messages-language-model.ts
+++ b/packages/anthropic/src/anthropic-messages-language-model.ts
@@ -223,6 +223,10 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV1 {
       },
       rawCall: { rawPrompt, rawSettings },
       rawResponse: { headers: responseHeaders },
+      response: {
+        id: response.id ?? undefined,
+        modelId: response.model ?? undefined,
+      },
       warnings,
       providerMetadata:
         this.settings.cacheControl === true
@@ -392,6 +396,12 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV1 {
                   };
                 }
 
+                controller.enqueue({
+                  type: 'response-metadata',
+                  id: value.message.id ?? undefined,
+                  modelId: value.message.model ?? undefined,
+                });
+
                 return;
               }
 
@@ -435,6 +445,8 @@ export class AnthropicMessagesLanguageModel implements LanguageModelV1 {
 // this approach limits breakages when the API changes and increases efficiency
 const anthropicMessagesResponseSchema = z.object({
   type: z.literal('message'),
+  id: z.string().nullish(),
+  model: z.string().nullish(),
   content: z.array(
     z.discriminatedUnion('type', [
       z.object({
@@ -464,6 +476,8 @@ const anthropicMessagesChunkSchema = z.discriminatedUnion('type', [
   z.object({
     type: z.literal('message_start'),
     message: z.object({
+      id: z.string().nullish(),
+      model: z.string().nullish(),
       usage: z.object({
         input_tokens: z.number(),
         output_tokens: z.number(),
diff --git a/packages/cohere/src/cohere-chat-language-model.test.ts b/packages/cohere/src/cohere-chat-language-model.test.ts
index 25c54778d298..c2e936748065 100644
--- a/packages/cohere/src/cohere-chat-language-model.test.ts
+++ b/packages/cohere/src/cohere-chat-language-model.test.ts
@@ -38,6 +38,7 @@ describe('doGenerate', () => {
       input_tokens: 4,
       output_tokens: 30,
     },
+    generation_id = 'dad0c7cd-7982-42a7-acfb-706ccf598291',
   }: {
     input?: string;
     text?: string;
@@ -47,11 +48,12 @@ describe('doGenerate', () => {
       input_tokens: number;
       output_tokens: number;
     };
+    generation_id?: string;
   }) {
     server.responseBodyJson = {
       response_id: '0cf61ae0-1f60-4c18-9802-be7be809e712',
       text,
-      generation_id: 'dad0c7cd-7982-42a7-acfb-706ccf598291',
+      generation_id,
       chat_history: [
         { role: 'USER', message: input },
         { role: 'CHATBOT', message: text },
@@ -139,6 +141,22 @@ describe('doGenerate', () => {
     });
   });
 
+  it('should send additional response information', async () => {
+    prepareJsonResponse({
+      generation_id: 'test-id',
+    });
+
+    const { response } = await model.doGenerate({
+      inputFormat: 'prompt',
+      mode: { type: 'regular' },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(response).toStrictEqual({
+      id: 'test-id',
+    });
+  });
+
   it('should extract finish reason', async () => {
     prepareJsonResponse({
       finish_reason: 'MAX_TOKENS',
@@ -470,6 +488,7 @@ describe('doStream', () => {
 
     // note: space moved to last chunk bc of trimming
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      { type: 'response-metadata', id: '586ac33f-9c64-452c-8f8d-e5890e73b6fb' },
       { type: 'text-delta', textDelta: 'Hello' },
       { type: 'text-delta', textDelta: ', ' },
       { type: 'text-delta', textDelta: 'World!' },
@@ -483,7 +502,7 @@ describe('doStream', () => {
 
   it('should stream tool deltas', async () => {
     server.responseChunks = [
-      `{"event_type":"stream-start"}\n\n`,
+      `{"event_type":"stream-start","generation_id":"29f14a5a-11de-4cae-9800-25e4747408ea"}\n\n`,
       `{"event_type":"tool-calls-chunk","text":"I"}\n\n`,
       `{"event_type":"tool-calls-chunk","text":" will"}\n\n`,
       `{"event_type":"tool-calls-chunk","text":" use"}\n\n`,
@@ -539,6 +558,7 @@ describe('doStream', () => {
     const responseArray = await convertReadableStreamToArray(stream);
 
     expect(responseArray).toStrictEqual([
+      { type: 'response-metadata', id: '29f14a5a-11de-4cae-9800-25e4747408ea' },
       {
         type: 'tool-call-delta',
         toolCallType: 'function',
@@ -645,7 +665,7 @@ describe('doStream', () => {
 
   it('should handle out of order tool deltas', async () => {
     server.responseChunks = [
-      `{"event_type":"stream-start"}\n\n`,
+      `{"event_type":"stream-start","generation_id":"29f14a5a-11de-4cae-9800-25e4747408ea"}\n\n`,
       `{"event_type":"tool-calls-chunk","tool_call_delta":{"index":0,"name":"test-tool-a"}}\n\n`,
       `{"event_type":"tool-calls-chunk","tool_call_delta":{"index":1,"name":"test-tool-b"}}\n\n`,
       `{"event_type":"tool-calls-chunk","tool_call_delta":{"index":0,"parameters":"{\\n    \\""}}\n\n`,
@@ -707,6 +727,7 @@ describe('doStream', () => {
     const responseArray = await convertReadableStreamToArray(stream);
 
     expect(responseArray).toStrictEqual([
+      { type: 'response-metadata', id: '29f14a5a-11de-4cae-9800-25e4747408ea' },
       {
         type: 'tool-call-delta',
         toolCallType: 'function',
diff --git a/packages/cohere/src/cohere-chat-language-model.ts b/packages/cohere/src/cohere-chat-language-model.ts
index 78f054296be0..be4559f0b7c2 100644
--- a/packages/cohere/src/cohere-chat-language-model.ts
+++ b/packages/cohere/src/cohere-chat-language-model.ts
@@ -174,6 +174,9 @@ export class CohereChatLanguageModel implements LanguageModelV1 {
         },
         rawSettings,
       },
+      response: {
+        id: response.generation_id ?? undefined,
+      },
       rawResponse: { headers: responseHeaders },
       warnings: undefined,
     };
@@ -291,6 +294,15 @@ export class CohereChatLanguageModel implements LanguageModelV1 {
                 return;
               }
 
+              case 'stream-start': {
+                controller.enqueue({
+                  type: 'response-metadata',
+                  id: value.generation_id ?? undefined,
+                });
+
+                return;
+              }
+
               case 'stream-end': {
                 finishReason = mapCohereFinishReason(value.finish_reason);
                 const tokens = value.response.meta.tokens;
@@ -332,6 +344,7 @@ export class CohereChatLanguageModel implements LanguageModelV1 {
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const cohereChatResponseSchema = z.object({
+  generation_id: z.string().nullish(),
   text: z.string(),
   tool_calls: z
     .array(
@@ -340,7 +353,7 @@ const cohereChatResponseSchema = z.object({
         parameters: z.unknown({}),
       }),
     )
-    .optional(),
+    .nullish(),
   finish_reason: z.string(),
   meta: z.object({
     tokens: z.object({
@@ -355,6 +368,7 @@ const cohereChatResponseSchema = z.object({
 const cohereChatChunkSchema = z.discriminatedUnion('event_type', [
   z.object({
     event_type: z.literal('stream-start'),
+    generation_id: z.string().nullish(),
   }),
   z.object({
     event_type: z.literal('search-queries-generation'),
diff --git a/packages/mistral/src/get-response-metadata.ts b/packages/mistral/src/get-response-metadata.ts
new file mode 100644
index 000000000000..bd358b23f704
--- /dev/null
+++ b/packages/mistral/src/get-response-metadata.ts
@@ -0,0 +1,15 @@
+export function getResponseMetadata({
+  id,
+  model,
+  created,
+}: {
+  id?: string | undefined | null;
+  created?: number | undefined | null;
+  model?: string | undefined | null;
+}) {
+  return {
+    id: id ?? undefined,
+    modelId: model ?? undefined,
+    timestamp: created != null ? new Date(created * 1000) : undefined,
+  };
+}
diff --git a/packages/mistral/src/mistral-chat-language-model.test.ts b/packages/mistral/src/mistral-chat-language-model.test.ts
index 5c0b54ee159b..d9718e3a3ef5 100644
--- a/packages/mistral/src/mistral-chat-language-model.test.ts
+++ b/packages/mistral/src/mistral-chat-language-model.test.ts
@@ -27,6 +27,9 @@ describe('doGenerate', () => {
       total_tokens: 34,
       completion_tokens: 30,
     },
+    id = '16362f24e60340d0994dd205c267a43a',
+    created = 1711113008,
+    model = 'mistral-small-latest',
   }: {
     content?: string;
     usage?: {
@@ -34,12 +37,15 @@ describe('doGenerate', () => {
       total_tokens: number;
       completion_tokens: number;
     };
+    id?: string;
+    created?: number;
+    model?: string;
   }) {
     server.responseBodyJson = {
-      id: '16362f24e60340d0994dd205c267a43a',
       object: 'chat.completion',
-      created: 1711113008,
-      model: 'mistral-small-latest',
+      id,
+      created,
+      model,
       choices: [
         {
           index: 0,
@@ -131,6 +137,26 @@ describe('doGenerate', () => {
     });
   });
 
+  it('should send additional response information', async () => {
+    prepareJsonResponse({
+      id: 'test-id',
+      created: 123,
+      model: 'test-model',
+    });
+
+    const { response } = await model.doGenerate({
+      inputFormat: 'prompt',
+      mode: { type: 'regular' },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(response).toStrictEqual({
+      id: 'test-id',
+      timestamp: new Date(123 * 1000),
+      modelId: 'test-model',
+    });
+  });
+
   it('should expose the raw response headers', async () => {
     prepareJsonResponse({ content: '' });
 
@@ -286,6 +312,12 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: '6e2cd91750904b7092f49bdca9083de1',
+        timestamp: new Date(1711097175 * 1000),
+        modelId: 'mistral-small-latest',
+      },
       { type: 'text-delta', textDelta: '' },
       { type: 'text-delta', textDelta: 'Hello' },
       { type: 'text-delta', textDelta: ', ' },
@@ -337,9 +369,12 @@ describe('doStream', () => {
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
       {
-        type: 'text-delta',
-        textDelta: '',
+        type: 'response-metadata',
+        id: 'ad6f7ce6543c4d0890280ae184fe4dd8',
+        timestamp: new Date(1711365023 * 1000),
+        modelId: 'mistral-large-latest',
       },
+      { type: 'text-delta', textDelta: '' },
       {
         type: 'tool-call-delta',
         toolCallId: 'yfBEybNYi',
diff --git a/packages/mistral/src/mistral-chat-language-model.ts b/packages/mistral/src/mistral-chat-language-model.ts
index a3bfcb885489..041112b2e664 100644
--- a/packages/mistral/src/mistral-chat-language-model.ts
+++ b/packages/mistral/src/mistral-chat-language-model.ts
@@ -20,6 +20,7 @@ import {
   MistralChatSettings,
 } from './mistral-chat-settings';
 import { mistralFailedResponseHandler } from './mistral-error';
+import { getResponseMetadata } from './get-response-metadata';
 
 type MistralChatConfig = {
   provider: string;
@@ -200,6 +201,7 @@ export class MistralChatLanguageModel implements LanguageModelV1 {
       },
       rawCall: { rawPrompt, rawSettings },
       rawResponse: { headers: responseHeaders },
+      response: getResponseMetadata(response),
       warnings,
     };
   }
@@ -212,10 +214,7 @@ export class MistralChatLanguageModel implements LanguageModelV1 {
     const { responseHeaders, value: response } = await postJsonToApi({
       url: `${this.config.baseURL}/chat/completions`,
       headers: combineHeaders(this.config.headers(), options.headers),
-      body: {
-        ...args,
-        stream: true,
-      },
+      body: { ...args, stream: true },
       failedResponseHandler: mistralFailedResponseHandler,
       successfulResponseHandler: createEventSourceResponseHandler(
         mistralChatChunkSchema,
@@ -231,6 +230,7 @@ export class MistralChatLanguageModel implements LanguageModelV1 {
       promptTokens: Number.NaN,
       completionTokens: Number.NaN,
     };
+    let isFirstChunk = true;
 
     return {
       stream: response.pipeThrough(
@@ -246,6 +246,15 @@ export class MistralChatLanguageModel implements LanguageModelV1 {
 
             const value = chunk.value;
 
+            if (isFirstChunk) {
+              isFirstChunk = false;
+
+              controller.enqueue({
+                type: 'response-metadata',
+                ...getResponseMetadata(value),
+              });
+            }
+
             if (value.usage != null) {
               usage = {
                 promptTokens: value.usage.prompt_tokens,
@@ -308,6 +317,9 @@ export class MistralChatLanguageModel implements LanguageModelV1 {
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const mistralChatResponseSchema = z.object({
+  id: z.string().nullish(),
+  created: z.number().nullish(),
+  model: z.string().nullish(),
   choices: z.array(
     z.object({
       message: z.object({
@@ -336,7 +348,9 @@ const mistralChatResponseSchema = z.object({
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const mistralChatChunkSchema = z.object({
-  object: z.literal('chat.completion.chunk'),
+  id: z.string().nullish(),
+  created: z.number().nullish(),
+  model: z.string().nullish(),
   choices: z.array(
     z.object({
       delta: z.object({
diff --git a/packages/openai/src/get-response-metadata.ts b/packages/openai/src/get-response-metadata.ts
new file mode 100644
index 000000000000..bd358b23f704
--- /dev/null
+++ b/packages/openai/src/get-response-metadata.ts
@@ -0,0 +1,15 @@
+export function getResponseMetadata({
+  id,
+  model,
+  created,
+}: {
+  id?: string | undefined | null;
+  created?: number | undefined | null;
+  model?: string | undefined | null;
+}) {
+  return {
+    id: id ?? undefined,
+    modelId: model ?? undefined,
+    timestamp: created != null ? new Date(created * 1000) : undefined,
+  };
+}
diff --git a/packages/openai/src/openai-chat-language-model.test.ts b/packages/openai/src/openai-chat-language-model.test.ts
index d1f991ff1a03..39ea7819b384 100644
--- a/packages/openai/src/openai-chat-language-model.test.ts
+++ b/packages/openai/src/openai-chat-language-model.test.ts
@@ -131,6 +131,9 @@ describe('doGenerate', () => {
     },
     logprobs = null,
     finish_reason = 'stop',
+    id = 'chatcmpl-95ZTZkhr0mHNKqerQfiwkuox3PHAd',
+    created = 1711115037,
+    model = 'gpt-3.5-turbo-0125',
   }: {
     content?: string;
     tool_calls?: Array<{
@@ -160,12 +163,15 @@ describe('doGenerate', () => {
         | null;
     } | null;
     finish_reason?: string;
+    created?: number;
+    id?: string;
+    model?: string;
   } = {}) {
     server.responseBodyJson = {
-      id: 'chatcmpl-95ZTZkhr0mHNKqerQfiwkuox3PHAd',
+      id,
       object: 'chat.completion',
-      created: 1711115037,
-      model: 'gpt-3.5-turbo-0125',
+      created,
+      model,
       choices: [
         {
           index: 0,
@@ -214,6 +220,26 @@ describe('doGenerate', () => {
     });
   });
 
+  it('should send additional response information', async () => {
+    prepareJsonResponse({
+      id: 'test-id',
+      created: 123,
+      model: 'test-model',
+    });
+
+    const { response } = await model.doGenerate({
+      inputFormat: 'prompt',
+      mode: { type: 'regular' },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(response).toStrictEqual({
+      id: 'test-id',
+      timestamp: new Date(123 * 1000),
+      modelId: 'test-model',
+    });
+  });
+
   it('should support partial usage', async () => {
     prepareJsonResponse({
       content: '',
@@ -865,6 +891,12 @@ describe('doStream', () => {
 
     // note: space moved to last chunk bc of trimming
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP',
+        modelId: 'gpt-3.5-turbo-0613',
+        timestamp: new Date('2023-12-15T16:17:00.000Z'),
+      },
       { type: 'text-delta', textDelta: '' },
       { type: 'text-delta', textDelta: 'Hello' },
       { type: 'text-delta', textDelta: ', ' },
@@ -934,6 +966,12 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP',
+        modelId: 'gpt-3.5-turbo-0125',
+        timestamp: new Date('2024-03-25T09:06:38.000Z'),
+      },
       {
         type: 'tool-call-delta',
         toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
@@ -1055,6 +1093,12 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP',
+        modelId: 'gpt-3.5-turbo-0125',
+        timestamp: new Date('2024-03-25T09:06:38.000Z'),
+      },
       {
         type: 'tool-call-delta',
         toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
@@ -1162,6 +1206,12 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'chatcmpl-96aZqmeDpA9IPD6tACY8djkMsJCMP',
+        modelId: 'gpt-3.5-turbo-0125',
+        timestamp: new Date('2024-03-25T09:06:38.000Z'),
+      },
       {
         type: 'tool-call-delta',
         toolCallId: 'call_O17Uplv4lJvD6DVdIvFFeRMw',
@@ -1225,6 +1275,12 @@ describe('doStream', () => {
     });
 
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        type: 'response-metadata',
+        id: 'chatcmpl-9o4RjdXk92In6yOzgND3bJxtedhS2',
+        modelId: 'gpt-4-turbo-2024-04-09',
+        timestamp: new Date('2024-07-23T07:41:59.000Z'),
+      },
       {
         type: 'tool-call-delta',
         toolCallId: expect.any(String),
diff --git a/packages/openai/src/openai-chat-language-model.ts b/packages/openai/src/openai-chat-language-model.ts
index 2ec098b46299..789e110251c7 100644
--- a/packages/openai/src/openai-chat-language-model.ts
+++ b/packages/openai/src/openai-chat-language-model.ts
@@ -26,6 +26,7 @@ import {
   openAIErrorDataSchema,
   openaiFailedResponseHandler,
 } from './openai-error';
+import { getResponseMetadata } from './get-response-metadata';
 
 type OpenAIChatConfig = {
   provider: string;
@@ -289,6 +290,7 @@ export class OpenAIChatLanguageModel implements LanguageModelV1 {
       },
       rawCall: { rawPrompt, rawSettings },
       rawResponse: { headers: responseHeaders },
+      response: getResponseMetadata(response),
       warnings,
       logprobs: mapOpenAIChatLogProbsOutput(choice.logprobs),
     };
@@ -343,6 +345,7 @@ export class OpenAIChatLanguageModel implements LanguageModelV1 {
       completionTokens: undefined,
     };
     let logprobs: LanguageModelV1LogProbs;
+    let isFirstChunk = true;
 
     const { useLegacyFunctionCalling } = this.settings;
 
@@ -369,6 +372,15 @@ export class OpenAIChatLanguageModel implements LanguageModelV1 {
               return;
             }
 
+            if (isFirstChunk) {
+              isFirstChunk = false;
+
+              controller.enqueue({
+                type: 'response-metadata',
+                ...getResponseMetadata(value),
+              });
+            }
+
             if (value.usage != null) {
               usage = {
                 promptTokens: value.usage.prompt_tokens ?? undefined,
@@ -549,6 +561,9 @@ const openAITokenUsageSchema = z
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const openAIChatResponseSchema = z.object({
+  id: z.string().nullish(),
+  created: z.number().nullish(),
+  model: z.string().nullish(),
   choices: z.array(
     z.object({
       message: z.object({
@@ -602,6 +617,9 @@ const openAIChatResponseSchema = z.object({
 // this approach limits breakages when the API changes and increases efficiency
 const openaiChatChunkSchema = z.union([
   z.object({
+    id: z.string().nullish(),
+    created: z.number().nullish(),
+    model: z.string().nullish(),
     choices: z.array(
       z.object({
         delta: z
diff --git a/packages/openai/src/openai-completion-language-model.test.ts b/packages/openai/src/openai-completion-language-model.test.ts
index a9fa91820f1f..d55ea067ef9e 100644
--- a/packages/openai/src/openai-completion-language-model.test.ts
+++ b/packages/openai/src/openai-completion-language-model.test.ts
@@ -59,6 +59,9 @@ describe('doGenerate', () => {
     },
     logprobs = null,
     finish_reason = 'stop',
+    id = 'cmpl-96cAM1v77r4jXa4qb2NSmRREV5oWB',
+    created = 1711363706,
+    model = 'gpt-3.5-turbo-instruct',
   }: {
     content?: string;
     usage?: {
@@ -72,12 +75,15 @@ describe('doGenerate', () => {
       top_logprobs: Record<string, number>[];
     } | null;
     finish_reason?: string;
+    id?: string;
+    created?: number;
+    model?: string;
   }) {
     server.responseBodyJson = {
-      id: 'cmpl-96cAM1v77r4jXa4qb2NSmRREV5oWB',
+      id,
       object: 'text_completion',
-      created: 1711363706,
-      model: 'gpt-3.5-turbo-instruct',
+      created,
+      model,
       choices: [
         {
           text: content,
@@ -120,6 +126,26 @@ describe('doGenerate', () => {
     });
   });
 
+  it('should send additional response information', async () => {
+    prepareJsonResponse({
+      id: 'test-id',
+      created: 123,
+      model: 'test-model',
+    });
+
+    const { response } = await model.doGenerate({
+      inputFormat: 'prompt',
+      mode: { type: 'regular' },
+      prompt: TEST_PROMPT,
+    });
+
+    expect(response).toStrictEqual({
+      id: 'test-id',
+      timestamp: new Date(123 * 1000),
+      modelId: 'test-model',
+    });
+  });
+
   it('should extract logprobs', async () => {
     prepareJsonResponse({ logprobs: TEST_LOGPROBS });
 
@@ -312,6 +338,12 @@ describe('doStream', () => {
 
     // note: space moved to last chunk bc of trimming
     expect(await convertReadableStreamToArray(stream)).toStrictEqual([
+      {
+        id: 'cmpl-96c64EdfhOw8pjFFgVpLuT8k2MtdT',
+        modelId: 'gpt-3.5-turbo-instruct',
+        timestamp: new Date('2024-03-25T10:44:00.000Z'),
+        type: 'response-metadata',
+      },
       { type: 'text-delta', textDelta: 'Hello' },
       { type: 'text-delta', textDelta: ', ' },
       { type: 'text-delta', textDelta: 'World!' },
diff --git a/packages/openai/src/openai-completion-language-model.ts b/packages/openai/src/openai-completion-language-model.ts
index 590004d9b758..e7e5bdd12061 100644
--- a/packages/openai/src/openai-completion-language-model.ts
+++ b/packages/openai/src/openai-completion-language-model.ts
@@ -26,6 +26,7 @@ import {
   openAIErrorDataSchema,
   openaiFailedResponseHandler,
 } from './openai-error';
+import { getResponseMetadata } from './get-response-metadata';
 
 type OpenAICompletionConfig = {
   provider: string;
@@ -198,6 +199,7 @@ export class OpenAICompletionLanguageModel implements LanguageModelV1 {
       logprobs: mapOpenAICompletionLogProbs(choice.logprobs),
       rawCall: { rawPrompt, rawSettings },
       rawResponse: { headers: responseHeaders },
+      response: getResponseMetadata(response),
       warnings,
     };
   }
@@ -239,6 +241,7 @@ export class OpenAICompletionLanguageModel implements LanguageModelV1 {
       completionTokens: Number.NaN,
     };
     let logprobs: LanguageModelV1LogProbs;
+    let isFirstChunk = true;
 
     return {
       stream: response.pipeThrough(
@@ -263,6 +266,15 @@ export class OpenAICompletionLanguageModel implements LanguageModelV1 {
               return;
             }
 
+            if (isFirstChunk) {
+              isFirstChunk = false;
+
+              controller.enqueue({
+                type: 'response-metadata',
+                ...getResponseMetadata(value),
+              });
+            }
+
             if (value.usage != null) {
               usage = {
                 promptTokens: value.usage.prompt_tokens,
@@ -312,6 +324,9 @@ export class OpenAICompletionLanguageModel implements LanguageModelV1 {
 // limited version of the schema, focussed on what is needed for the implementation
 // this approach limits breakages when the API changes and increases efficiency
 const openAICompletionResponseSchema = z.object({
+  id: z.string().nullish(),
+  created: z.number().nullish(),
+  model: z.string().nullish(),
   choices: z.array(
     z.object({
       text: z.string(),
@@ -322,8 +337,7 @@ const openAICompletionResponseSchema = z.object({
           token_logprobs: z.array(z.number()),
           top_logprobs: z.array(z.record(z.string(), z.number())).nullable(),
         })
-        .nullable()
-        .optional(),
+        .nullish(),
     }),
   ),
   usage: z.object({
@@ -336,6 +350,9 @@ const openAICompletionResponseSchema = z.object({
 // this approach limits breakages when the API changes and increases efficiency
 const openaiCompletionChunkSchema = z.union([
   z.object({
+    id: z.string().nullish(),
+    created: z.number().nullish(),
+    model: z.string().nullish(),
     choices: z.array(
       z.object({
         text: z.string(),
@@ -347,8 +364,7 @@ const openaiCompletionChunkSchema = z.union([
             token_logprobs: z.array(z.number()),
             top_logprobs: z.array(z.record(z.string(), z.number())).nullable(),
           })
-          .nullable()
-          .optional(),
+          .nullish(),
       }),
     ),
     usage: z
@@ -356,8 +372,7 @@ const openaiCompletionChunkSchema = z.union([
         prompt_tokens: z.number(),
         completion_tokens: z.number(),
       })
-      .optional()
-      .nullable(),
+      .nullish(),
   }),
   openAIErrorDataSchema,
 ]);
diff --git a/packages/provider-utils/src/generate-id.ts b/packages/provider-utils/src/generate-id.ts
index 71f52c60199d..b3b95609ed6d 100644
--- a/packages/provider-utils/src/generate-id.ts
+++ b/packages/provider-utils/src/generate-id.ts
@@ -1,9 +1,28 @@
 import { customAlphabet } from 'nanoid/non-secure';
 
+/**
+ * Creates an ID generator that uses an alphabet of digits, uppercase and lowercase letters.
+ *
+ * @param alphabet - The alphabet to use for the ID. Default: '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz'.
+ * @param prefix - The prefix of the ID to generate. Default: ''.
+ * @param length - The length of the random part of the ID to generate. Default: 7.
+ */
+// TODO change length to 16 in 4.0
+export const createIdGenerator = ({
+  prefix = '',
+  length = 7,
+  alphabet = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz',
+}: {
+  prefix?: string;
+  length?: number;
+  alphabet?: string;
+} = {}): (() => string) => {
+  const generator = customAlphabet(alphabet, length);
+  return () => `${prefix}${generator()}`;
+};
+
 /**
  * Generates a 7-character random string to use for IDs. Not secure.
  */
-export const generateId = customAlphabet(
-  '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz',
-  7,
-);
+//TODO change length to 16 in 4.0
+export const generateId = createIdGenerator();
diff --git a/packages/provider-utils/src/index.ts b/packages/provider-utils/src/index.ts
index 81e6e4edc3a9..bcf019c317a1 100644
--- a/packages/provider-utils/src/index.ts
+++ b/packages/provider-utils/src/index.ts
@@ -2,7 +2,7 @@ export * from './combine-headers';
 export * from './convert-async-generator-to-readable-stream';
 export * from './extract-response-headers';
 export * from './fetch-function';
-export * from './generate-id';
+export { createIdGenerator, generateId } from './generate-id';
 export * from './get-error-message';
 export * from './is-abort-error';
 export * from './load-api-key';
diff --git a/packages/provider/src/language-model/v1/language-model-v1.ts b/packages/provider/src/language-model/v1/language-model-v1.ts
index a5b51d163122..84fdfced6fae 100644
--- a/packages/provider/src/language-model/v1/language-model-v1.ts
+++ b/packages/provider/src/language-model/v1/language-model-v1.ts
@@ -61,9 +61,8 @@ regardless of this flag, but might send different prompts and
 use further optimizations if this flag is set to `true`.
 
 Defaults to `false`.
-
-TODO rename to supportsGrammarGuidedGeneration in v2
 */
+  // TODO rename to supportsGrammarGuidedGeneration in v2
   readonly supportsStructuredOutputs?: boolean;
 
   /**
@@ -116,8 +115,9 @@ settings.
     };
 
     /**
-Optional raw response information for debugging purposes.
+Optional response information for telemetry and debugging purposes.
      */
+    // TODO rename to `response` in v2
     rawResponse?: {
       /**
 Response headers.
@@ -125,6 +125,23 @@ Response headers.
       headers?: Record<string, string>;
     };
 
+    response?: {
+      /**
+ID for the generated response, if the provider sends one.
+     */
+      id?: string;
+
+      /**
+Timestamp for the start of the generated response, if the provider sends one.
+     */
+      timestamp?: Date;
+
+      /**
+The ID of the response model that was used to generate the response, if the provider sends one.
+     */
+      modelId?: string;
+    };
+
     warnings?: LanguageModelV1CallWarning[];
 
     /**
@@ -202,6 +219,15 @@ export type LanguageModelV1StreamPart =
       argsTextDelta: string;
     }
 
+  // metadata for the response.
+  // separate stream part so it can be sent once it is available.
+  | {
+      type: 'response-metadata';
+      id?: string;
+      timestamp?: Date;
+      modelId?: string;
+    }
+
   // the usage stats, finish reason and logprobs should be the last part of the
   // stream:
   | {

From 2be4fb5e9c99d1eaec2cd03991b8baa90c0e2a13 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 5 Sep 2024 14:01:24 +0200
Subject: [PATCH 11/11] Version Packages (#2891)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
---
 .changeset/calm-walls-sin.md         |  11 -
 .changeset/two-boxes-attend.md       |   7 -
 packages/ai/CHANGELOG.md             |  16 ++
 packages/ai/package.json             |  16 +-
 packages/amazon-bedrock/CHANGELOG.md |   9 +
 packages/amazon-bedrock/package.json |   6 +-
 packages/anthropic/CHANGELOG.md      |  11 +
 packages/anthropic/package.json      |   6 +-
 packages/azure/CHANGELOG.md          |  10 +
 packages/azure/package.json          |   8 +-
 packages/cohere/CHANGELOG.md         |  10 +
 packages/cohere/package.json         |   6 +-
 packages/google-vertex/CHANGELOG.md  |   9 +
 packages/google-vertex/package.json  |   6 +-
 packages/google/CHANGELOG.md         |   9 +
 packages/google/package.json         |   6 +-
 packages/mistral/CHANGELOG.md        |  10 +
 packages/mistral/package.json        |   6 +-
 packages/openai/CHANGELOG.md         |  10 +
 packages/openai/package.json         |   6 +-
 packages/provider-utils/CHANGELOG.md |   9 +
 packages/provider-utils/package.json |   4 +-
 packages/provider/CHANGELOG.md       |   7 +
 packages/provider/package.json       |   2 +-
 packages/react/CHANGELOG.md          |   8 +
 packages/react/package.json          |   6 +-
 packages/solid/CHANGELOG.md          |   8 +
 packages/solid/package.json          |   6 +-
 packages/svelte/CHANGELOG.md         |   8 +
 packages/svelte/package.json         |   6 +-
 packages/ui-utils/CHANGELOG.md       |   9 +
 packages/ui-utils/package.json       |   6 +-
 packages/vue/CHANGELOG.md            |   8 +
 packages/vue/package.json            |   6 +-
 pnpm-lock.yaml                       | 346 +++++++++++++--------------
 35 files changed, 375 insertions(+), 242 deletions(-)
 delete mode 100644 .changeset/calm-walls-sin.md
 delete mode 100644 .changeset/two-boxes-attend.md

diff --git a/.changeset/calm-walls-sin.md b/.changeset/calm-walls-sin.md
deleted file mode 100644
index 62e5c1fc7da9..000000000000
--- a/.changeset/calm-walls-sin.md
+++ /dev/null
@@ -1,11 +0,0 @@
----
-'@ai-sdk/provider-utils': patch
-'@ai-sdk/anthropic': patch
-'@ai-sdk/provider': patch
-'@ai-sdk/mistral': patch
-'@ai-sdk/cohere': patch
-'@ai-sdk/openai': patch
-'ai': patch
----
-
-feat (ai): expose response id, response model, response timestamp in telemetry and api
diff --git a/.changeset/two-boxes-attend.md b/.changeset/two-boxes-attend.md
deleted file mode 100644
index 84408377808c..000000000000
--- a/.changeset/two-boxes-attend.md
+++ /dev/null
@@ -1,7 +0,0 @@
----
-'@ai-sdk/anthropic': patch
-'@ai-sdk/provider': patch
-'ai': patch
----
-
-fix (provider/anthropic): support prompt caching on assistant messages
diff --git a/packages/ai/CHANGELOG.md b/packages/ai/CHANGELOG.md
index 3547f8a81c6d..71f38a240a22 100644
--- a/packages/ai/CHANGELOG.md
+++ b/packages/ai/CHANGELOG.md
@@ -1,5 +1,21 @@
 # ai
 
+## 3.3.27
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- 3be7c1c: fix (provider/anthropic): support prompt caching on assistant messages
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+  - @ai-sdk/react@0.0.55
+  - @ai-sdk/solid@0.0.44
+  - @ai-sdk/svelte@0.0.46
+  - @ai-sdk/ui-utils@0.0.41
+  - @ai-sdk/vue@0.0.46
+
 ## 3.3.26
 
 ### Patch Changes
diff --git a/packages/ai/package.json b/packages/ai/package.json
index 0c7b8257e735..4008fe9e33b8 100644
--- a/packages/ai/package.json
+++ b/packages/ai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "ai",
-  "version": "3.3.26",
+  "version": "3.3.27",
   "description": "Vercel AI SDK - The AI Toolkit for TypeScript and JavaScript",
   "license": "Apache-2.0",
   "sideEffects": false,
@@ -78,13 +78,13 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17",
-    "@ai-sdk/react": "0.0.54",
-    "@ai-sdk/solid": "0.0.43",
-    "@ai-sdk/svelte": "0.0.45",
-    "@ai-sdk/ui-utils": "0.0.40",
-    "@ai-sdk/vue": "0.0.45",
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18",
+    "@ai-sdk/react": "0.0.55",
+    "@ai-sdk/solid": "0.0.44",
+    "@ai-sdk/svelte": "0.0.46",
+    "@ai-sdk/ui-utils": "0.0.41",
+    "@ai-sdk/vue": "0.0.46",
     "@opentelemetry/api": "1.9.0",
     "eventsource-parser": "1.1.2",
     "jsondiffpatch": "0.6.0",
diff --git a/packages/amazon-bedrock/CHANGELOG.md b/packages/amazon-bedrock/CHANGELOG.md
index 78232ef689e2..8b0e68c8686f 100644
--- a/packages/amazon-bedrock/CHANGELOG.md
+++ b/packages/amazon-bedrock/CHANGELOG.md
@@ -1,5 +1,14 @@
 # @ai-sdk/amazon-bedrock
 
+## 0.0.23
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.22
 
 ### Patch Changes
diff --git a/packages/amazon-bedrock/package.json b/packages/amazon-bedrock/package.json
index d86e80ceb1bc..6aeeecdf4572 100644
--- a/packages/amazon-bedrock/package.json
+++ b/packages/amazon-bedrock/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/amazon-bedrock",
-  "version": "0.0.22",
+  "version": "0.0.23",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,8 +30,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17",
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18",
     "@aws-sdk/client-bedrock-runtime": "3.602.0"
   },
   "devDependencies": {
diff --git a/packages/anthropic/CHANGELOG.md b/packages/anthropic/CHANGELOG.md
index 202ac6d75ba7..63d2a0a5e1a8 100644
--- a/packages/anthropic/CHANGELOG.md
+++ b/packages/anthropic/CHANGELOG.md
@@ -1,5 +1,16 @@
 # @ai-sdk/anthropic
 
+## 0.0.49
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- 3be7c1c: fix (provider/anthropic): support prompt caching on assistant messages
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.48
 
 ### Patch Changes
diff --git a/packages/anthropic/package.json b/packages/anthropic/package.json
index 0e215f8921be..50ca1d6b51c1 100644
--- a/packages/anthropic/package.json
+++ b/packages/anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/anthropic",
-  "version": "0.0.48",
+  "version": "0.0.49",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,8 +30,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17"
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18"
   },
   "devDependencies": {
     "@types/node": "^18",
diff --git a/packages/azure/CHANGELOG.md b/packages/azure/CHANGELOG.md
index d5876d6cfa7e..282bb0c7584a 100644
--- a/packages/azure/CHANGELOG.md
+++ b/packages/azure/CHANGELOG.md
@@ -1,5 +1,15 @@
 # @ai-sdk/azure
 
+## 0.0.34
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+  - @ai-sdk/openai@0.0.56
+
 ## 0.0.33
 
 ### Patch Changes
diff --git a/packages/azure/package.json b/packages/azure/package.json
index 20835221084b..2940f2b692ed 100644
--- a/packages/azure/package.json
+++ b/packages/azure/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/azure",
-  "version": "0.0.33",
+  "version": "0.0.34",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,9 +30,9 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/openai": "0.0.55",
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17"
+    "@ai-sdk/openai": "0.0.56",
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18"
   },
   "devDependencies": {
     "@types/node": "^18",
diff --git a/packages/cohere/CHANGELOG.md b/packages/cohere/CHANGELOG.md
index 7d97baea53f2..09c43a4a3f30 100644
--- a/packages/cohere/CHANGELOG.md
+++ b/packages/cohere/CHANGELOG.md
@@ -1,5 +1,15 @@
 # @ai-sdk/cohere
 
+## 0.0.23
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.22
 
 ### Patch Changes
diff --git a/packages/cohere/package.json b/packages/cohere/package.json
index 361a4795c5f8..83778c54b001 100644
--- a/packages/cohere/package.json
+++ b/packages/cohere/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/cohere",
-  "version": "0.0.22",
+  "version": "0.0.23",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,8 +30,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17"
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18"
   },
   "devDependencies": {
     "@types/node": "^18",
diff --git a/packages/google-vertex/CHANGELOG.md b/packages/google-vertex/CHANGELOG.md
index 9322b4ddee0c..6dfee6a97840 100644
--- a/packages/google-vertex/CHANGELOG.md
+++ b/packages/google-vertex/CHANGELOG.md
@@ -1,5 +1,14 @@
 # @ai-sdk/google-vertex
 
+## 0.0.36
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.35
 
 ### Patch Changes
diff --git a/packages/google-vertex/package.json b/packages/google-vertex/package.json
index 78998066efa9..c5d7c322190e 100644
--- a/packages/google-vertex/package.json
+++ b/packages/google-vertex/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/google-vertex",
-  "version": "0.0.35",
+  "version": "0.0.36",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,8 +30,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17",
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18",
     "json-schema": "0.4.0"
   },
   "devDependencies": {
diff --git a/packages/google/CHANGELOG.md b/packages/google/CHANGELOG.md
index 37de0184e284..aff45fcc2a7b 100644
--- a/packages/google/CHANGELOG.md
+++ b/packages/google/CHANGELOG.md
@@ -1,5 +1,14 @@
 # @ai-sdk/google
 
+## 0.0.47
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.46
 
 ### Patch Changes
diff --git a/packages/google/package.json b/packages/google/package.json
index c6c5b6eb7182..f28b90436993 100644
--- a/packages/google/package.json
+++ b/packages/google/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/google",
-  "version": "0.0.46",
+  "version": "0.0.47",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,8 +30,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17",
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18",
     "json-schema": "0.4.0"
   },
   "devDependencies": {
diff --git a/packages/mistral/CHANGELOG.md b/packages/mistral/CHANGELOG.md
index bc9c04aedde6..dffc9257456c 100644
--- a/packages/mistral/CHANGELOG.md
+++ b/packages/mistral/CHANGELOG.md
@@ -1,5 +1,15 @@
 # @ai-sdk/mistral
 
+## 0.0.39
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.38
 
 ### Patch Changes
diff --git a/packages/mistral/package.json b/packages/mistral/package.json
index 3b173cec1ff2..5974e7371353 100644
--- a/packages/mistral/package.json
+++ b/packages/mistral/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/mistral",
-  "version": "0.0.38",
+  "version": "0.0.39",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -30,8 +30,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17"
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18"
   },
   "devDependencies": {
     "@types/node": "^18",
diff --git a/packages/openai/CHANGELOG.md b/packages/openai/CHANGELOG.md
index dfc86c409dfb..765422d147e7 100644
--- a/packages/openai/CHANGELOG.md
+++ b/packages/openai/CHANGELOG.md
@@ -1,5 +1,15 @@
 # @ai-sdk/openai
 
+## 0.0.56
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.55
 
 ### Patch Changes
diff --git a/packages/openai/package.json b/packages/openai/package.json
index ea39d3f2b6bc..b54e87916764 100644
--- a/packages/openai/package.json
+++ b/packages/openai/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/openai",
-  "version": "0.0.55",
+  "version": "0.0.56",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -37,8 +37,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17"
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18"
   },
   "devDependencies": {
     "@types/node": "^18",
diff --git a/packages/provider-utils/CHANGELOG.md b/packages/provider-utils/CHANGELOG.md
index 76a4864419c6..87867ce5ee49 100644
--- a/packages/provider-utils/CHANGELOG.md
+++ b/packages/provider-utils/CHANGELOG.md
@@ -1,5 +1,14 @@
 # @ai-sdk/provider-utils
 
+## 1.0.18
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider@0.0.23
+
 ## 1.0.17
 
 ### Patch Changes
diff --git a/packages/provider-utils/package.json b/packages/provider-utils/package.json
index 4ee53626cf37..bccf3a706ab1 100644
--- a/packages/provider-utils/package.json
+++ b/packages/provider-utils/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/provider-utils",
-  "version": "1.0.17",
+  "version": "1.0.18",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -37,7 +37,7 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
+    "@ai-sdk/provider": "0.0.23",
     "eventsource-parser": "1.1.2",
     "nanoid": "3.3.6",
     "secure-json-parse": "2.7.0"
diff --git a/packages/provider/CHANGELOG.md b/packages/provider/CHANGELOG.md
index 45f093dd371d..45de1c7780df 100644
--- a/packages/provider/CHANGELOG.md
+++ b/packages/provider/CHANGELOG.md
@@ -1,5 +1,12 @@
 # @ai-sdk/provider
 
+## 0.0.23
+
+### Patch Changes
+
+- 03313cd: feat (ai): expose response id, response model, response timestamp in telemetry and api
+- 3be7c1c: fix (provider/anthropic): support prompt caching on assistant messages
+
 ## 0.0.22
 
 ### Patch Changes
diff --git a/packages/provider/package.json b/packages/provider/package.json
index d7cc71f3b8d4..7b3a9ebd0ddf 100644
--- a/packages/provider/package.json
+++ b/packages/provider/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/provider",
-  "version": "0.0.22",
+  "version": "0.0.23",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
diff --git a/packages/react/CHANGELOG.md b/packages/react/CHANGELOG.md
index 3a1df30674c3..f3d699ed4f29 100644
--- a/packages/react/CHANGELOG.md
+++ b/packages/react/CHANGELOG.md
@@ -1,5 +1,13 @@
 # @ai-sdk/react
 
+## 0.0.55
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/ui-utils@0.0.41
+
 ## 0.0.54
 
 ### Patch Changes
diff --git a/packages/react/package.json b/packages/react/package.json
index f5dda6aa54cc..f805201957ae 100644
--- a/packages/react/package.json
+++ b/packages/react/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/react",
-  "version": "0.0.54",
+  "version": "0.0.55",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -29,8 +29,8 @@
     "CHANGELOG.md"
   ],
   "dependencies": {
-    "@ai-sdk/provider-utils": "1.0.17",
-    "@ai-sdk/ui-utils": "0.0.40",
+    "@ai-sdk/provider-utils": "1.0.18",
+    "@ai-sdk/ui-utils": "0.0.41",
     "swr": "2.2.5"
   },
   "devDependencies": {
diff --git a/packages/solid/CHANGELOG.md b/packages/solid/CHANGELOG.md
index 696adc87689c..ad3cdda15db2 100644
--- a/packages/solid/CHANGELOG.md
+++ b/packages/solid/CHANGELOG.md
@@ -1,5 +1,13 @@
 # @ai-sdk/solid
 
+## 0.0.44
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/ui-utils@0.0.41
+
 ## 0.0.43
 
 ### Patch Changes
diff --git a/packages/solid/package.json b/packages/solid/package.json
index 3db082c1f681..23705c38c1e0 100644
--- a/packages/solid/package.json
+++ b/packages/solid/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/solid",
-  "version": "0.0.43",
+  "version": "0.0.44",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -29,8 +29,8 @@
     "CHANGELOG.md"
   ],
   "dependencies": {
-    "@ai-sdk/provider-utils": "1.0.17",
-    "@ai-sdk/ui-utils": "0.0.40"
+    "@ai-sdk/provider-utils": "1.0.18",
+    "@ai-sdk/ui-utils": "0.0.41"
   },
   "devDependencies": {
     "@testing-library/jest-dom": "^6.4.5",
diff --git a/packages/svelte/CHANGELOG.md b/packages/svelte/CHANGELOG.md
index 12cdf9ef93b7..0bc1fb14bea9 100644
--- a/packages/svelte/CHANGELOG.md
+++ b/packages/svelte/CHANGELOG.md
@@ -1,5 +1,13 @@
 # @ai-sdk/svelte
 
+## 0.0.46
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/ui-utils@0.0.41
+
 ## 0.0.45
 
 ### Patch Changes
diff --git a/packages/svelte/package.json b/packages/svelte/package.json
index 04a0511f7c16..6fe0630299dc 100644
--- a/packages/svelte/package.json
+++ b/packages/svelte/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/svelte",
-  "version": "0.0.45",
+  "version": "0.0.46",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -27,8 +27,8 @@
     "CHANGELOG.md"
   ],
   "dependencies": {
-    "@ai-sdk/provider-utils": "1.0.17",
-    "@ai-sdk/ui-utils": "0.0.40",
+    "@ai-sdk/provider-utils": "1.0.18",
+    "@ai-sdk/ui-utils": "0.0.41",
     "sswr": "2.1.0"
   },
   "devDependencies": {
diff --git a/packages/ui-utils/CHANGELOG.md b/packages/ui-utils/CHANGELOG.md
index 07f9331cda02..0ff237e91347 100644
--- a/packages/ui-utils/CHANGELOG.md
+++ b/packages/ui-utils/CHANGELOG.md
@@ -1,5 +1,14 @@
 # @ai-sdk/ui-utils
 
+## 0.0.41
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+- Updated dependencies [3be7c1c]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/provider@0.0.23
+
 ## 0.0.40
 
 ### Patch Changes
diff --git a/packages/ui-utils/package.json b/packages/ui-utils/package.json
index 054dbf560073..e284d8115104 100644
--- a/packages/ui-utils/package.json
+++ b/packages/ui-utils/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/ui-utils",
-  "version": "0.0.40",
+  "version": "0.0.41",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -37,8 +37,8 @@
     }
   },
   "dependencies": {
-    "@ai-sdk/provider": "0.0.22",
-    "@ai-sdk/provider-utils": "1.0.17",
+    "@ai-sdk/provider": "0.0.23",
+    "@ai-sdk/provider-utils": "1.0.18",
     "json-schema": "0.4.0",
     "secure-json-parse": "2.7.0",
     "zod-to-json-schema": "3.23.2"
diff --git a/packages/vue/CHANGELOG.md b/packages/vue/CHANGELOG.md
index 1d0deca7da53..493ff6a40db3 100644
--- a/packages/vue/CHANGELOG.md
+++ b/packages/vue/CHANGELOG.md
@@ -1,5 +1,13 @@
 # @ai-sdk/vue
 
+## 0.0.46
+
+### Patch Changes
+
+- Updated dependencies [03313cd]
+  - @ai-sdk/provider-utils@1.0.18
+  - @ai-sdk/ui-utils@0.0.41
+
 ## 0.0.45
 
 ### Patch Changes
diff --git a/packages/vue/package.json b/packages/vue/package.json
index c65455925a24..ed39d803fc40 100644
--- a/packages/vue/package.json
+++ b/packages/vue/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@ai-sdk/vue",
-  "version": "0.0.45",
+  "version": "0.0.46",
   "license": "Apache-2.0",
   "sideEffects": false,
   "main": "./dist/index.js",
@@ -29,8 +29,8 @@
     "CHANGELOG.md"
   ],
   "dependencies": {
-    "@ai-sdk/provider-utils": "1.0.17",
-    "@ai-sdk/ui-utils": "0.0.40",
+    "@ai-sdk/provider-utils": "1.0.18",
+    "@ai-sdk/ui-utils": "0.0.41",
     "swrv": "1.0.4"
   },
   "devDependencies": {
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index b0b6330cc602..bd48d2f2e403 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -125,10 +125,10 @@ importers:
         version: link:../../packages/ai
       geist:
         specifier: ^1.3.1
-        version: 1.3.1(next@14.2.7)
+        version: 1.3.1(next@14.2.8)
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -180,7 +180,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -229,7 +229,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -284,7 +284,7 @@ importers:
         version: 0.1.36(playwright@1.46.0)
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -339,7 +339,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@playwright/test@1.46.0)(react-dom@18.3.1)(react@18.3.1)
+        version: 14.2.8(@playwright/test@1.46.0)(react-dom@18.3.1)(react@18.3.1)
       openai:
         specifier: 4.52.6
         version: 4.52.6
@@ -397,7 +397,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       openai:
         specifier: 4.52.6
         version: 4.52.6
@@ -452,7 +452,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       openai:
         specifier: 4.52.6
         version: 4.52.6
@@ -510,7 +510,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       openai:
         specifier: 4.52.6
         version: 4.52.6
@@ -577,7 +577,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       openai:
         specifier: 4.52.6
         version: 4.52.6
@@ -638,7 +638,7 @@ importers:
         version: 0.52.1(@opentelemetry/api@1.9.0)
       '@sentry/nextjs':
         specifier: ^8.22.0
-        version: 8.22.0(@opentelemetry/api@1.9.0)(@opentelemetry/core@1.25.1)(@opentelemetry/instrumentation@0.52.1)(@opentelemetry/sdk-trace-base@1.25.1)(next@14.2.7)(react@18.2.0)(webpack@5.93.0)
+        version: 8.22.0(@opentelemetry/api@1.9.0)(@opentelemetry/core@1.25.1)(@opentelemetry/instrumentation@0.52.1)(@opentelemetry/sdk-trace-base@1.25.1)(next@14.2.8)(react@18.2.0)(webpack@5.93.0)
       '@sentry/opentelemetry':
         specifier: 8.22.0
         version: 8.22.0(@opentelemetry/api@1.9.0)(@opentelemetry/core@1.25.1)(@opentelemetry/instrumentation@0.52.1)(@opentelemetry/sdk-trace-base@1.25.1)(@opentelemetry/semantic-conventions@1.25.1)
@@ -650,7 +650,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@babel/core@7.24.7)(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@babel/core@7.24.7)(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       openai:
         specifier: 4.52.6
         version: 4.52.6
@@ -702,7 +702,7 @@ importers:
         version: link:../../packages/ai
       next:
         specifier: latest
-        version: 14.2.7(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
+        version: 14.2.8(@opentelemetry/api@1.9.0)(@playwright/test@1.46.0)(react-dom@18.2.0)(react@18.2.0)
       react:
         specifier: ^18
         version: 18.2.0
@@ -930,25 +930,25 @@ importers:
   packages/ai:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       '@ai-sdk/react':
-        specifier: 0.0.54
+        specifier: 0.0.55
         version: link:../react
       '@ai-sdk/solid':
-        specifier: 0.0.43
+        specifier: 0.0.44
         version: link:../solid
       '@ai-sdk/svelte':
-        specifier: 0.0.45
+        specifier: 0.0.46
         version: link:../svelte
       '@ai-sdk/ui-utils':
-        specifier: 0.0.40
+        specifier: 0.0.41
         version: link:../ui-utils
       '@ai-sdk/vue':
-        specifier: 0.0.45
+        specifier: 0.0.46
         version: link:../vue
       '@opentelemetry/api':
         specifier: 1.9.0
@@ -1070,21 +1070,21 @@ importers:
         version: link:../../..
       next:
         specifier: canary
-        version: 15.0.0-canary.139(@playwright/test@1.46.0)(react-dom@19.0.0-rc-4f604941-20240830)(react@19.0.0-rc-4f604941-20240830)
+        version: 15.0.0-canary.141(@playwright/test@1.46.0)(react-dom@19.0.0-rc-d1afcb43-20240903)(react@19.0.0-rc-d1afcb43-20240903)
       react:
         specifier: rc
-        version: 19.0.0-rc-4f604941-20240830
+        version: 19.0.0-rc-d1afcb43-20240903
       react-dom:
         specifier: rc
-        version: 19.0.0-rc-4f604941-20240830(react@19.0.0-rc-4f604941-20240830)
+        version: 19.0.0-rc-d1afcb43-20240903(react@19.0.0-rc-d1afcb43-20240903)
 
   packages/amazon-bedrock:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       '@aws-sdk/client-bedrock-runtime':
         specifier: 3.602.0
@@ -1115,10 +1115,10 @@ importers:
   packages/anthropic:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
     devDependencies:
       '@types/node':
@@ -1140,13 +1140,13 @@ importers:
   packages/azure:
     dependencies:
       '@ai-sdk/openai':
-        specifier: 0.0.55
+        specifier: 0.0.56
         version: link:../openai
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
     devDependencies:
       '@types/node':
@@ -1168,10 +1168,10 @@ importers:
   packages/cohere:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
     devDependencies:
       '@types/node':
@@ -1193,10 +1193,10 @@ importers:
   packages/google:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       json-schema:
         specifier: 0.4.0
@@ -1224,10 +1224,10 @@ importers:
   packages/google-vertex:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       json-schema:
         specifier: 0.4.0
@@ -1255,10 +1255,10 @@ importers:
   packages/mistral:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
     devDependencies:
       '@types/node':
@@ -1280,10 +1280,10 @@ importers:
   packages/openai:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
     devDependencies:
       '@types/node':
@@ -1327,7 +1327,7 @@ importers:
   packages/provider-utils:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       eventsource-parser:
         specifier: 1.1.2
@@ -1361,10 +1361,10 @@ importers:
   packages/react:
     dependencies:
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       '@ai-sdk/ui-utils':
-        specifier: 0.0.40
+        specifier: 0.0.41
         version: link:../ui-utils
       react:
         specifier: ^18 || ^19
@@ -1422,10 +1422,10 @@ importers:
   packages/solid:
     dependencies:
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       '@ai-sdk/ui-utils':
-        specifier: 0.0.40
+        specifier: 0.0.41
         version: link:../ui-utils
       solid-js:
         specifier: ^1.7.7
@@ -1474,10 +1474,10 @@ importers:
   packages/svelte:
     dependencies:
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       '@ai-sdk/ui-utils':
-        specifier: 0.0.40
+        specifier: 0.0.41
         version: link:../ui-utils
       sswr:
         specifier: 2.1.0
@@ -1508,10 +1508,10 @@ importers:
   packages/ui-utils:
     dependencies:
       '@ai-sdk/provider':
-        specifier: 0.0.22
+        specifier: 0.0.23
         version: link:../provider
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       json-schema:
         specifier: 0.4.0
@@ -1548,10 +1548,10 @@ importers:
   packages/vue:
     dependencies:
       '@ai-sdk/provider-utils':
-        specifier: 1.0.17
+        specifier: 1.0.18
         version: link:../provider-utils
       '@ai-sdk/ui-utils':
-        specifier: 0.0.40
+        specifier: 0.0.41
         version: link:../ui-utils
       swrv:
         specifier: 1.0.4
@@ -5987,12 +5987,12 @@ packages:
       - '@opentelemetry/api'
       - supports-color
 
-  /@next/env@14.2.7:
-    resolution: {integrity: sha512-OTx9y6I3xE/eih+qtthppwLytmpJVPM5PPoJxChFsbjIEFXIayG0h/xLzefHGJviAa3Q5+Fd+9uYojKkHDKxoQ==}
+  /@next/env@14.2.8:
+    resolution: {integrity: sha512-L44a+ynqkolyNBnYfF8VoCiSrjSZWgEHYKkKLGcs/a80qh7AkfVUD/MduVPgdsWZ31tgROR+yJRA0PZjSVBXWQ==}
     dev: false
 
-  /@next/env@15.0.0-canary.139:
-    resolution: {integrity: sha512-OiMN4DTsyfHreRTANJLMGWNa1jK1G46D+IfavYUBu0NkNpmm7LkEnsE6AaAFLK4V/oafL37/vN4nzccOnVhvmg==}
+  /@next/env@15.0.0-canary.141:
+    resolution: {integrity: sha512-JZSWuaEU/vwYheetDQG4tQpNCZr6jJwd7NGI4CvmClGk9ZGM63PIN3WmhsXgqG1bgTEzgmiKj9sNoN+qhpO8cA==}
     dev: false
 
   /@next/env@15.0.0-canary.23:
@@ -6004,8 +6004,8 @@ packages:
     dependencies:
       glob: 10.3.10
 
-  /@next/swc-darwin-arm64@14.2.7:
-    resolution: {integrity: sha512-UhZGcOyI9LE/tZL3h9rs/2wMZaaJKwnpAyegUVDGZqwsla6hMfeSj9ssBWQS9yA4UXun3pPhrFLVnw5KXZs3vw==}
+  /@next/swc-darwin-arm64@14.2.8:
+    resolution: {integrity: sha512-1VrQlG8OzdyvvGZhGJFnaNE2P10Jjy/2FopnqbY0nSa/gr8If3iINxvOEW3cmVeoAYkmW0RsBazQecA2dBFOSw==}
     engines: {node: '>= 10'}
     cpu: [arm64]
     os: [darwin]
@@ -6013,8 +6013,8 @@ packages:
     dev: false
     optional: true
 
-  /@next/swc-darwin-arm64@15.0.0-canary.139:
-    resolution: {integrity: sha512-XTFcbQjsy8DUH6TFIF6C52G3gJX8DBc29qguyf8sGxCpR88D3tkgj7Ph2LXoAIy6c01TX40e6jhp8CVis5Wh4g==}
+  /@next/swc-darwin-arm64@15.0.0-canary.141:
+    resolution: {integrity: sha512-A0MID270+ivW8e8/yuJ+CWQmvUK0YRz0eJhq53JDdEJXbzzjRrGUKIS9RxtJGacV6KjptTAtAR+ZWMSR+quzAA==}
     engines: {node: '>= 10'}
     cpu: [arm64]
     os: [darwin]
@@ -6031,8 +6031,8 @@ packages:
     dev: true
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-      '@next/swc-win32-ia32-msvc': 14.2.7
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-      '@next/swc-win32-ia32-msvc': 14.2.7
-      '@next/swc-win32-x64-msvc': 14.2.7
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+      '@next/swc-linux-arm64-gnu': 14.2.8
+      '@next/swc-linux-arm64-musl': 14.2.8
+      '@next/swc-linux-x64-gnu': 14.2.8
+      '@next/swc-linux-x64-musl': 14.2.8
+      '@next/swc-win32-arm64-msvc': 14.2.8
+      '@next/swc-win32-ia32-msvc': 14.2.8
+      '@next/swc-win32-x64-msvc': 14.2.8
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       - babel-plugin-macros
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+  /next@15.0.0-canary.141(@playwright/test@1.46.0)(react-dom@19.0.0-rc-d1afcb43-20240903)(react@19.0.0-rc-d1afcb43-20240903):
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@@ -17853,27 +17853,27 @@ packages:
       sass:
         optional: true
     dependencies:
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+      '@next/env': 15.0.0-canary.141
       '@playwright/test': 1.46.0
       '@swc/counter': 0.1.3
-      '@swc/helpers': 0.5.12
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       busboy: 1.6.0
       caniuse-lite: 1.0.30001649
       graceful-fs: 4.2.11
       postcss: 8.4.31
-      react: 19.0.0-rc-4f604941-20240830
-      react-dom: 19.0.0-rc-4f604941-20240830(react@19.0.0-rc-4f604941-20240830)
-      styled-jsx: 5.1.6(react@19.0.0-rc-4f604941-20240830)
+      react: 19.0.0-rc-d1afcb43-20240903
+      react-dom: 19.0.0-rc-d1afcb43-20240903(react@19.0.0-rc-d1afcb43-20240903)
+      styled-jsx: 5.1.6(react@19.0.0-rc-d1afcb43-20240903)
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-      '@next/swc-linux-arm64-musl': 15.0.0-canary.139
-      '@next/swc-linux-x64-gnu': 15.0.0-canary.139
-      '@next/swc-linux-x64-musl': 15.0.0-canary.139
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-      '@next/swc-win32-ia32-msvc': 15.0.0-canary.139
-      '@next/swc-win32-x64-msvc': 15.0.0-canary.139
+      '@next/swc-darwin-arm64': 15.0.0-canary.141
+      '@next/swc-darwin-x64': 15.0.0-canary.141
+      '@next/swc-linux-arm64-gnu': 15.0.0-canary.141
+      '@next/swc-linux-arm64-musl': 15.0.0-canary.141
+      '@next/swc-linux-x64-gnu': 15.0.0-canary.141
+      '@next/swc-linux-x64-musl': 15.0.0-canary.141
+      '@next/swc-win32-arm64-msvc': 15.0.0-canary.141
+      '@next/swc-win32-ia32-msvc': 15.0.0-canary.141
+      '@next/swc-win32-x64-msvc': 15.0.0-canary.141
       sharp: 0.33.5
     transitivePeerDependencies:
       - '@babel/core'
@@ -19735,15 +19735,6 @@ packages:
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       scheduler: 0.23.2
 
-  /react-dom@19.0.0-rc-4f604941-20240830(react@19.0.0-rc-4f604941-20240830):
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-    peerDependencies:
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-      scheduler: 0.25.0-rc-4f604941-20240830
-    dev: false
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   /react-dom@19.0.0-rc-cc1ec60d0d-20240607(react@19.0.0-rc-cc1ec60d0d-20240607):
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     peerDependencies:
@@ -19753,6 +19744,15 @@ packages:
       scheduler: 0.25.0-rc-cc1ec60d0d-20240607
     dev: true
 
+  /react-dom@19.0.0-rc-d1afcb43-20240903(react@19.0.0-rc-d1afcb43-20240903):
+    resolution: {integrity: sha512-2c1WEFLt4iODSlnuQv+H2U0GvglEKn21hWboP489758A/1olwMKUwC8IOox6Hgh1g+Zu92fUgsWU+wJGIK6Tzg==}
+    peerDependencies:
+      react: 19.0.0-rc-d1afcb43-20240903
+    dependencies:
+      react: 19.0.0-rc-d1afcb43-20240903
+      scheduler: 0.25.0-rc-d1afcb43-20240903
+    dev: false
+
   /react-is@16.13.1:
     resolution: {integrity: sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ==}
 
@@ -19796,16 +19796,16 @@ packages:
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       loose-envify: 1.4.0
 
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-    engines: {node: '>=0.10.0'}
-    dev: false
-
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     engines: {node: '>=0.10.0'}
     dev: true
 
+  /react@19.0.0-rc-d1afcb43-20240903:
+    resolution: {integrity: sha512-fCQZwZOveZEXThFJDK164B7L4++upA9x3SuJYEt9aVbFgTVIguo4ku01G/kQcxlymGUR3AnpZ/jWGNf77d0h2Q==}
+    engines: {node: '>=0.10.0'}
+    dev: false
+
   /read-cache@1.0.0:
     resolution: {integrity: sha512-Owdv/Ft7IjOgm/i0xvNDZ1LrRANRfew4b2prF3OWMQLxLfu3bS8FVhCsrSCMK4lR56Y9ya+AThoTpDCTxCmpRA==}
     dependencies:
@@ -20217,14 +20217,14 @@ packages:
     dependencies:
       loose-envify: 1.4.0
 
-  /scheduler@0.25.0-rc-4f604941-20240830:
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-    dev: false
-
   /scheduler@0.25.0-rc-cc1ec60d0d-20240607:
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     dev: true
 
+  /scheduler@0.25.0-rc-d1afcb43-20240903:
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+    dev: false
+
   /schema-utils@3.3.0:
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     engines: {node: '>= 10.13.0'}
@@ -20926,7 +20926,7 @@ packages:
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     dev: false
 
-  /styled-jsx@5.1.6(react@19.0.0-rc-4f604941-20240830):
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     engines: {node: '>= 12.0.0'}
     peerDependencies:
@@ -20940,10 +20940,10 @@ packages:
         optional: true
     dependencies:
       client-only: 0.0.1
-      react: 19.0.0-rc-4f604941-20240830
-    dev: false
+      react: 19.0.0-rc-cc1ec60d0d-20240607
+    dev: true
 
-  /styled-jsx@5.1.6(react@19.0.0-rc-cc1ec60d0d-20240607):
+  /styled-jsx@5.1.6(react@19.0.0-rc-d1afcb43-20240903):
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     engines: {node: '>= 12.0.0'}
     peerDependencies:
@@ -20957,8 +20957,8 @@ packages:
         optional: true
     dependencies:
       client-only: 0.0.1
-      react: 19.0.0-rc-cc1ec60d0d-20240607
-    dev: true
+      react: 19.0.0-rc-d1afcb43-20240903
+    dev: false
 
   /stylehacks@7.0.2(postcss@8.4.41):
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