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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
…nge (vercel#5531) Co-authored-by: Carl Brugger <[email protected]>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
…#5541) Co-authored-by: Bram Meerten <[email protected]>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
) Co-authored-by: Sam Denty <[email protected]> Co-authored-by: Sam Denty <[email protected]>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
This adds gemini-2.5-pro-preview-05-06 to AI SDK
## Background Laminar has updated its SDK and docs and added an example Next.js app. This is needed to better guide AI SDK users ## Summary A guide on Laminar as an observability provider is updated.
## Background The below MCP SSE message will make the stream reader timeout. ``` data: /message?sessionId=123\r\nevent: endpoint ``` ## Summary Fix the `splitLines` parser issue. The CRLF pointer was incorrectly implemented.
# Releases ## [email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - d87b9d1: fix(provider-utils): fix SSE parser bug (CRLF) ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - [email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [d87b9d1] - @ai-sdk/[email protected] - @ai-sdk/[email protected] Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
…ming stream (vercel#6224) ## Background This pull request updates the documentation for the GET handler in the resumable streams section to account for a race condition that may occur when the stream ends in-flight. ## Summary Updated the route by adding the code snippet that handles the above condition. ## Tasks - [x] Documentation has been added / updated (for bug fixes / features) - [x] Formatting issues have been fixed (run `pnpm prettier-fix` in the project root) ## Related Issues vercel#6052
## Background Bug with Vue that led to status not updating when tab was changed. ## Summary Changes status from using SWR to using Vue ref.
# Releases ## @ai-sdk/[email protected] ### Patch Changes - b54cb59: fix (ai-sdk/vue): fix status reactivity Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
## Background In mcp doc, `mcpClient.tools()` need to await ## Verification Just fix doc problem Co-authored-by: georgezouq <[email protected]> Co-authored-by: Lars Grammel <[email protected]>
## Background [Vertex now supports extraction of thinking tokens in certain Gemini models](https://cloud.google.com/vertex-ai/generative-ai/docs/thinking). When the configuration is passed via `providerOptions`, the sdk: 1. Did not extract reasoning tokens 2. Did not pass `include_thoughts` to the provider ## Summary Added extraction logic to google-generative-ai package to parse reasoning tokens. Added a `includeThoughts` switch to the `thinkingConfig` for vertex models. ## Verification I verified it manually. Testable via examples/ai-core/src/stream-text/google-vertex-reasoning.ts. Easily copiable to google provider. ## Related Issues Fixes vercel#6259
## Background Release requires change to `google` provider package. ## Summary Add changeset.
# Releases ## @ai-sdk/[email protected] ### Patch Changes - 4b2e1b0: Add reasoning token output support for gemini models via Vertex AI Provider ## @ai-sdk/[email protected] ### Patch Changes - fe24216: Add reasoning token output support for gemini models via Vertex AI Provider - Updated dependencies [4b2e1b0] - @ai-sdk/[email protected] Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
) ## Background Like many other OpenTelemetry instrumentations, Laminar depends on `@opentelemetry/instrumentation`, which, in turn, depends on `require-in-the-middle` and `import-in-the-middle`. Importing and initializing Laminar inside Next.js `instrumentation.ts` file causes Next.js to try resolving these two packages, but fails, and results in: - Laminar not being able to send traces. This is because unlike many other instrumentation libraries, Laminar is not intrusive and does not set its tracer provider globally (so that others, e.g. `@vercel/otel` can set theirs). - Error messages (see below) We have tried many different things to debug, including bundling Laminar differently, shipping those two packages within Laminar as `noExternal`, adding a separate entrypoint in our package for Next.js, but nothing seems to have worked. The only thing that's worked was adding `@lmnr-ai/lmnr` in `serverExternalPackages` in [next.config](https://nextjs.org/docs/app/api-reference/config/next-config-js/serverExternalPackages). ## Summary Add a subsection within the Next.js section that describes
…#6315) ## Background It is not clear what AI SDK version user-submitted issues refer to. ## Summary Add version section to issue template.
## Background Integrating with Patronus! ## Summary A new Patronus.mdx file showing how logs can be imported into Patronus via OTel. ## Tasks - [x] Formatting issues have been fixed (run `pnpm prettier-fix` in the project root) --------- Co-authored-by: Snigdha Banda <[email protected]> Co-authored-by: nicoalbanese <[email protected]> Co-authored-by: Nico Albanese <[email protected]>
## Summary Announce v5 Alpha ## Tasks - [x] Formatting issues have been fixed (run `pnpm prettier-fix` in the project root)
…spans (vercel#6357) ## Background `generateObject`, `generateText`, `streamText`, and `streamObject` currently call `JSON.stringify` on the input messages. If the input messages contain an image, it is most likely normalized into a `Uint8Array`. `JSON.stringify` does not the most obvious things to TypedArrays including `Uint8Array`. ```javascript // this returns '{"0": 1,"1": 2,"2": 3}', where I'd expect this to be '[1,2,3]' JSON.stringify(new Uint8array([1, 2, 3])) ``` In practice, this results in bloating images by about 5-15x depending on the original image size. For Laminar, for example, a span with 3 avg sized images will not be able to be sent as it is larger than the (reasonably high) gRPC payload size for our traces endpoint. From [MDN docs](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/JSON/stringify#examples): ```javascript // TypedArray JSON.stringify([new Int8Array([1]), new Int16Array([1]), new Int32Array([1])]); // '[{"0":1},{"0":1},{"0":1}]' JSON.stringify([ new Uint8Array([1]), new Uint8ClampedArray([1]), new Uint16Array([1]), new Uint32Array([1]), ]); // '[{"0":1},{"0":1},{"0":1},{"0":1}]' JSON.stringify([new Float32Array([1]), new Float64Array([1])]); // '[{"0":1},{"0":1}]' ``` ## Summary Added a function that maps over messages in a `LanguageModelV1Prompt` and maps over content parts in each message, replacing `UInt8Array`s with raw base64 strings instead. Call this function when calling `recordSpan` for the inner (doStream/doGenerate) span in `generateObject`, `generateText`, `streamText`, and `streamObject`. ## Verification Ran this small script against a local instance of Laminar and logged the Telemetry payloads (span attributes) on the backend to verify that they are indeed base64. ```javascript import { Laminar, getTracer } from '@lmnr-ai/lmnr' Laminar.initialize(); import { openai } from '@ai-sdk/openai' import { generateText, generateObject, streamText, streamObject, tool } from "ai"; import { z } from "zod"; import dotenv from "dotenv"; dotenv.config(); const handle = async () => { const imageUrl = "https://upload.wikimedia.org/wikipedia/commons/b/bc/CoinEx.png" const imageData = await fetch(imageUrl) .then(response => response.arrayBuffer()) .then(buffer => Buffer.from(buffer).toString('base64')); const o = streamObject({ schema: z.object({ text: z.string(), companyName: z.string().optional().nullable(), }), messages: [ { role: "user", content: [ { type: "text", text: "Describe this image briefly" }, { type: "image", image: imageData, mimeType: "image/png" } ] } ], model: openai("gpt-4.1-nano"), experimental_telemetry: { isEnabled: true, tracer: getTracer() } }); for await (const chunk of o.fullStream) { console.log(chunk); } await Laminar.shutdown(); }; handle().then((r) => { console.log(r); }); ``` ## Related Issues Fixes vercel#6210
# Releases ## [email protected] ### Patch Changes - ed0ebeb: Avoid JSON.strinfigy on UInt8Arrays for telemetry ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [ed0ebeb] - [email protected] Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
## Background The Codex VM uses pnpm 10. I am running into build issues with Codex and want to rule out that they are caused by pnpm version differences. ## Summary Upgrade pnpm to version 10.
## Background Vercel is adding an API for the v0 model per https://vercel.com/docs/v0/api and an AI SDK provider would make it easier for developers to interact with it. ## Summary Added an initial provider for the Vercel API. ## Verification Added examples across several features and executed end to end manually. Co-authored-by: Walter Korman <[email protected]>
This PR was opened by the [Changesets release](https://github.com/changesets/action) GitHub action. When you're ready to do a release, you can merge this and the packages will be published to npm automatically. If you're not ready to do a release yet, that's fine, whenever you add more changesets to main, this PR will be updated. # Releases ## @ai-sdk/[email protected] ### Patch Changes - 42e37fb: feat (provider/vercel): initial vercel provider Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
## Background This pull request adds support for Anthropic's new Claude v4 models. ## Summary Updated the model ids to include `claude-4-opus-20250514` and `claude-4-sonnet-20250514`. ## Tasks - [x] A _patch_ changeset for relevant packages has been added (for bug fixes / features - run `pnpm changeset` in the project root) - [x] Formatting issues have been fixed (run `pnpm prettier-fix` in the project root)
# Releases ## @ai-sdk/[email protected] ### Patch Changes - f64f4f0: feat (providers/anthropic): add claude v4 models ## @ai-sdk/[email protected] ### Patch Changes - Updated dependencies [f64f4f0] - @ai-sdk/[email protected] Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
## Summary Adds guide for Claude 4 models. ## Tasks - [ ] Tests have been added / updated (for bug fixes / features) - [ ] Documentation has been added / updated (for bug fixes / features) - [ ] A _patch_ changeset for relevant packages has been added (for bug fixes / features - run `pnpm changeset` in the project root) - [x] Formatting issues have been fixed (run `pnpm prettier-fix` in the project root)
## Background Fal added support for new Flux Kontext models. ## Summary Adds model ids, example, and updates docs. ## Tasks - [ ] Tests have been added / updated (for bug fixes / features) - [x] Documentation has been added / updated (for bug fixes / features) - [x] A _patch_ changeset for relevant packages has been added (for bug fixes / features - run `pnpm changeset` in the project root) - [x] Formatting issues have been fixed (run `pnpm prettier-fix` in the project root) ## Future Work We might want to add typed provider options here. Currently just pass through the entire provider options into the body.
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This PR was opened by the Changesets release GitHub action. When you're ready to do a release, you can merge this and the packages will be published to npm automatically. If you're not ready to do a release yet, that's fine, whenever you add more changesets to main, this PR will be updated.
Releases
@ai-sdk/[email protected]
Patch Changes