diff --git a/.changeset/clever-monkeys-switch.md b/.changeset/clever-monkeys-switch.md
new file mode 100644
index 0000000000000000000000000000000000000000..3fa003bbef7ce22db3b59cefca9827d59f7f6cda
--- /dev/null
+++ b/.changeset/clever-monkeys-switch.md
@@ -0,0 +1,7 @@
+---
+"@llamaindex/vercel": patch
+"@llamaindex/doc": patch
+"@llamaindex/examples": patch
+---
+
+Add vercel tool adapter to use query engine tool
diff --git a/apps/next/src/content/docs/llamaindex/integration/meta.json b/apps/next/src/content/docs/llamaindex/integration/meta.json
index 2d671d4fa2e4ebc05331538a9c09aba6254171d8..606fc4d320ca13b989e867c6e5ef673469178cc5 100644
--- a/apps/next/src/content/docs/llamaindex/integration/meta.json
+++ b/apps/next/src/content/docs/llamaindex/integration/meta.json
@@ -1,5 +1,5 @@
{
"title": "Integration",
"description": "See our integrations",
- "pages": ["open-llm-metry", "lang-trace"]
+ "pages": ["open-llm-metry", "lang-trace", "vercel"]
}
diff --git a/apps/next/src/content/docs/llamaindex/integration/vercel.mdx b/apps/next/src/content/docs/llamaindex/integration/vercel.mdx
new file mode 100644
index 0000000000000000000000000000000000000000..1824677a5042aed02ca7a8a0ed685ccc41636d3d
--- /dev/null
+++ b/apps/next/src/content/docs/llamaindex/integration/vercel.mdx
@@ -0,0 +1,80 @@
+---
+title: Vercel
+description: Integrate LlamaIndex with Vercel's AI SDK
+---
+
+LlamaIndex provides integration with Vercel's AI SDK, allowing you to create powerful search and retrieval applications. Below are examples of how to use LlamaIndex with `streamText` from the Vercel AI SDK.
+
+## Setup
+
+First, install the required dependencies:
+
+```bash
+npm install @llamaindex/vercel ai
+```
+
+## Using Local Vector Store
+
+Here's how to create a simple vector store index and query it using Vercel's AI SDK:
+
+```typescript
+import { openai } from "@ai-sdk/openai";
+import { llamaindex } from "@llamaindex/vercel";
+import { streamText } from "ai";
+import { Document, VectorStoreIndex } from "llamaindex";
+
+// Create an index from your documents
+const document = new Document({ text: yourText, id_: "unique-id" });
+const index = await VectorStoreIndex.fromDocuments([document]);
+
+// Create a query tool
+const queryTool = llamaindex({
+ index,
+ description: "Search through the documents", // optional
+});
+
+// Use the tool with Vercel's AI SDK
+streamText({
+ tools: { queryTool },
+ prompt: "Your question here",
+ model: openai("gpt-4"),
+ onFinish({ response }) {
+ console.log("Response:", response.messages); // log the response
+ },
+}).toDataStream();
+```
+
+## Using LlamaCloud
+
+For production deployments, you can use LlamaCloud to store and manage your documents:
+
+```typescript
+import { LlamaCloudIndex } from "llamaindex";
+
+// Create a LlamaCloud index
+const index = await LlamaCloudIndex.fromDocuments({
+ documents: [document],
+ name: "your-index-name",
+ projectName: "your-project",
+ apiKey: process.env.LLAMA_CLOUD_API_KEY,
+});
+
+// Use it the same way as VectorStoreIndex
+const queryTool = llamaindex({
+ index,
+ description: "Search through the documents",
+});
+
+// Use the tool with Vercel's AI SDK
+streamText({
+ tools: { queryTool },
+ prompt: "Your question here",
+ model: openai("gpt-4"),
+}).toDataStream();
+```
+
+## Next Steps
+
+1. Explore [LlamaCloud](https://cloud.llamaindex.ai/) for managed document storage and retrieval
+2. Join our [Discord community](https://discord.gg/llamaindex) for support and discussions
+
diff --git a/examples/package.json b/examples/package.json
index 31c1ba06978653eccd2774c6cb7a474b8417753d..6b11abdc7107bc933618b989d9dff9105e36d944 100644
--- a/examples/package.json
+++ b/examples/package.json
@@ -3,6 +3,7 @@
"private": true,
"version": "0.0.16",
"dependencies": {
+ "@ai-sdk/openai": "^1.0.5",
"@aws-crypto/sha256-js": "^5.2.0",
"@azure/cosmos": "^4.1.1",
"@azure/identity": "^4.4.1",
@@ -10,10 +11,12 @@
"@llamaindex/core": "^0.4.10",
"@llamaindex/readers": "^1.0.11",
"@llamaindex/workflow": "^0.0.6",
+ "@llamaindex/vercel": "^0.0.1",
"@notionhq/client": "^2.2.15",
"@pinecone-database/pinecone": "^4.0.0",
"@vercel/postgres": "^0.10.0",
"@zilliz/milvus2-sdk-node": "^2.4.6",
+ "ai": "^4.0.0",
"chromadb": "^1.8.1",
"commander": "^12.1.0",
"dotenv": "^16.4.5",
diff --git a/examples/vercel/README.md b/examples/vercel/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..edb1f11f24d528b93af04d71e56db71b7f624725
--- /dev/null
+++ b/examples/vercel/README.md
@@ -0,0 +1,50 @@
+# Vercel Examples
+
+These examples demonstrate how to integrate LlamaIndexTS with Vercel's AI SDK. The examples show how to use LlamaIndex for search and retrieval in both local vector store and LlamaCloud environments.
+
+## Setup
+
+To run these examples, first install the required dependencies from the parent folder `examples`:
+
+```bash
+npm i
+```
+
+## Running the Examples
+
+Make sure to run the examples from the parent folder called `examples`. The following examples are available:
+
+### Vector Store Example
+
+Run the local vector store example with:
+
+```bash
+npx tsx vercel/vector-store.ts
+```
+
+This example demonstrates:
+
+- Creating a vector store index from one document
+- Using Vercel's AI SDK with LlamaIndex for streaming responses
+
+### LlamaCloud Example
+
+To run the LlamaCloud example:
+
+```bash
+npx tsx vercel/llamacloud.ts
+```
+
+This example requires a LlamaCloud API key set in your environment and an embedding model set in the `EMBEDDING_MODEL` environment variable:
+
+```bash
+export LLAMA_CLOUD_API_KEY=your_api_key_here
+export EMBEDDING_MODEL="text-embedding-3-small"
+```
+
+The example demonstrates:
+
+- Creating a LlamaCloud index from one document
+- Streaming responses using Vercel's AI SDK
+
+For more detailed information about the Vercel integration, check out [the documentation](https://ts.llamaindex.ai/docs/llamaindex/integration/vercel).
diff --git a/examples/vercel/llamacloud.ts b/examples/vercel/llamacloud.ts
new file mode 100644
index 0000000000000000000000000000000000000000..2fac09863d703bb69425d6f13b2178b59acd91b1
--- /dev/null
+++ b/examples/vercel/llamacloud.ts
@@ -0,0 +1,38 @@
+import { openai } from "@ai-sdk/openai";
+import { llamaindex } from "@llamaindex/vercel";
+import { streamText } from "ai";
+import { Document, LlamaCloudIndex } from "llamaindex";
+import fs from "node:fs/promises";
+
+async function main() {
+ const path = "node_modules/llamaindex/examples/abramov.txt";
+ const essay = await fs.readFile(path, "utf-8");
+ const document = new Document({ text: essay, id_: path });
+
+ const index = await LlamaCloudIndex.fromDocuments({
+ documents: [document],
+ name: "test-pipeline",
+ projectName: "Default",
+ apiKey: process.env.LLAMA_CLOUD_API_KEY,
+ });
+ console.log("Successfully created index");
+
+ const result = streamText({
+ model: openai("gpt-4o"),
+ prompt: "Cost of moving cat from Russia to UK?",
+ tools: {
+ queryTool: llamaindex({
+ index,
+ description:
+ "get information from your knowledge base to answer questions.", // optional description
+ }),
+ },
+ maxSteps: 5,
+ });
+
+ for await (const textPart of result.textStream) {
+ process.stdout.write(textPart);
+ }
+}
+
+main().catch(console.error);
diff --git a/examples/vercel/vector-store.ts b/examples/vercel/vector-store.ts
new file mode 100644
index 0000000000000000000000000000000000000000..c61291ba385c445d224260ed4a03322c3eb5ca3f
--- /dev/null
+++ b/examples/vercel/vector-store.ts
@@ -0,0 +1,34 @@
+import { openai } from "@ai-sdk/openai";
+import { llamaindex } from "@llamaindex/vercel";
+import { streamText } from "ai";
+import { Document, VectorStoreIndex } from "llamaindex";
+
+import fs from "node:fs/promises";
+
+async function main() {
+ const path = "node_modules/llamaindex/examples/abramov.txt";
+ const essay = await fs.readFile(path, "utf-8");
+ const document = new Document({ text: essay, id_: path });
+
+ const index = await VectorStoreIndex.fromDocuments([document]);
+ console.log("Successfully created index");
+
+ const result = streamText({
+ model: openai("gpt-4o"),
+ prompt: "Cost of moving cat from Russia to UK?",
+ tools: {
+ queryTool: llamaindex({
+ index,
+ description:
+ "get information from your knowledge base to answer questions.", // optional description
+ }),
+ },
+ maxSteps: 5,
+ });
+
+ for await (const textPart of result.textStream) {
+ process.stdout.write(textPart);
+ }
+}
+
+main().catch(console.error);
diff --git a/packages/providers/vercel/package.json b/packages/providers/vercel/package.json
new file mode 100644
index 0000000000000000000000000000000000000000..484b16b632f6a70e9d7d1bbafc7af059e8e63e9a
--- /dev/null
+++ b/packages/providers/vercel/package.json
@@ -0,0 +1,50 @@
+{
+ "name": "@llamaindex/vercel",
+ "description": "Vercel Adapter for LlamaIndex",
+ "version": "0.0.1",
+ "type": "module",
+ "main": "./dist/index.cjs",
+ "module": "./dist/index.js",
+ "exports": {
+ ".": {
+ "edge-light": {
+ "types": "./dist/index.edge-light.d.ts",
+ "default": "./dist/index.edge-light.js"
+ },
+ "workerd": {
+ "types": "./dist/index.edge-light.d.ts",
+ "default": "./dist/index.edge-light.js"
+ },
+ "require": {
+ "types": "./dist/index.d.cts",
+ "default": "./dist/index.cjs"
+ },
+ "import": {
+ "types": "./dist/index.d.ts",
+ "default": "./dist/index.js"
+ }
+ }
+ },
+ "files": [
+ "dist"
+ ],
+ "repository": {
+ "type": "git",
+ "url": "https://github.com/run-llama/LlamaIndexTS.git",
+ "directory": "packages/providers/vercel"
+ },
+ "scripts": {
+ "build": "bunchee",
+ "dev": "bunchee --watch"
+ },
+ "devDependencies": {
+ "bunchee": "5.6.1"
+ },
+ "dependencies": {
+ "@llamaindex/core": "workspace:*",
+ "zod": "^3.23.8"
+ },
+ "peerDependencies": {
+ "ai": "^4.0.0"
+ }
+}
diff --git a/packages/providers/vercel/src/index.ts b/packages/providers/vercel/src/index.ts
new file mode 100644
index 0000000000000000000000000000000000000000..5484738837c573b9ddb66701752ebf2ea275ac52
--- /dev/null
+++ b/packages/providers/vercel/src/index.ts
@@ -0,0 +1 @@
+export { llamaindex } from "./tool";
diff --git a/packages/providers/vercel/src/tool.ts b/packages/providers/vercel/src/tool.ts
new file mode 100644
index 0000000000000000000000000000000000000000..a0720d94fc229fd1c45326ce18243c5d18e4f52b
--- /dev/null
+++ b/packages/providers/vercel/src/tool.ts
@@ -0,0 +1,29 @@
+import type { BaseQueryEngine } from "@llamaindex/core/query-engine";
+import { type CoreTool, tool } from "ai";
+import { z } from "zod";
+
+interface DatasourceIndex {
+ asQueryEngine: () => BaseQueryEngine;
+}
+
+export function llamaindex({
+ index,
+ description,
+}: {
+ index: DatasourceIndex;
+ description?: string;
+}): CoreTool {
+ const queryEngine = index.asQueryEngine();
+ return tool({
+ description: description ?? "Get information about your documents.",
+ parameters: z.object({
+ query: z
+ .string()
+ .describe("The query to get information about your documents."),
+ }),
+ execute: async ({ query }) => {
+ const result = await queryEngine?.query({ query });
+ return result?.message.content ?? "No result found in documents.";
+ },
+ });
+}
diff --git a/packages/providers/vercel/tsconfig.json b/packages/providers/vercel/tsconfig.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fad47fb71026680ff194da502936fedd967972a
--- /dev/null
+++ b/packages/providers/vercel/tsconfig.json
@@ -0,0 +1,19 @@
+{
+ "extends": "../../../tsconfig.json",
+ "compilerOptions": {
+ "target": "ESNext",
+ "module": "ESNext",
+ "moduleResolution": "bundler",
+ "outDir": "./lib",
+ "tsBuildInfoFile": "./lib/.tsbuildinfo"
+ },
+ "include": ["./src"],
+ "references": [
+ {
+ "path": "../../core/tsconfig.json"
+ },
+ {
+ "path": "../../env/tsconfig.json"
+ }
+ ]
+}
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index f8cf25d7e01e54a7096a914d542d52ca961527e8..0a3cfc25fc28d953df3450147d83112d4732ade3 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -587,6 +587,9 @@ importers:
examples:
dependencies:
+ '@ai-sdk/openai':
+ specifier: ^1.0.5
+ version: 1.0.5(zod@3.23.8)
'@aws-crypto/sha256-js':
specifier: ^5.2.0
version: 5.2.0
@@ -605,6 +608,9 @@ importers:
'@llamaindex/readers':
specifier: ^1.0.11
version: link:../packages/readers
+ '@llamaindex/vercel':
+ specifier: ^0.0.1
+ version: link:../packages/providers/vercel
'@llamaindex/workflow':
specifier: ^0.0.6
version: link:../packages/workflow
@@ -620,6 +626,9 @@ importers:
'@zilliz/milvus2-sdk-node':
specifier: ^2.4.6
version: 2.4.9
+ ai:
+ specifier: ^4.0.0
+ version: 4.0.6(react@19.0.0-rc-bf7e210c-20241017)(zod@3.23.8)
chromadb:
specifier: ^1.8.1
version: 1.9.2(@google/generative-ai@0.21.0)(cohere-ai@7.14.0(@aws-sdk/client-sso-oidc@3.693.0(@aws-sdk/client-sts@3.693.0))(encoding@0.1.13))(encoding@0.1.13)(openai@4.72.0(encoding@0.1.13)(zod@3.23.8))
@@ -1366,6 +1375,22 @@ importers:
specifier: 5.6.1
version: 5.6.1(typescript@5.6.3)
+ packages/providers/vercel:
+ dependencies:
+ '@llamaindex/core':
+ specifier: workspace:*
+ version: link:../../core
+ ai:
+ specifier: ^4.0.0
+ version: 4.0.6(react@19.0.0-rc-bf7e210c-20241017)(zod@3.23.8)
+ zod:
+ specifier: ^3.23.8
+ version: 3.23.8
+ devDependencies:
+ bunchee:
+ specifier: 5.6.1
+ version: 5.6.1(typescript@5.6.3)
+
packages/providers/vllm:
dependencies:
'@llamaindex/openai':
@@ -1525,6 +1550,12 @@ importers:
packages:
+ '@ai-sdk/openai@1.0.5':
+ resolution: {integrity: sha512-JDCPBJQx9o3LgboBPaA55v+9EZ7Vm/ozy0+J5DIr2jJF8WETjeCnigdxixyzEy/Od4wX871jOTSuGffwNIi0kA==}
+ engines: {node: '>=18'}
+ peerDependencies:
+ zod: ^3.0.0
+
'@ai-sdk/provider-utils@1.0.22':
resolution: {integrity: sha512-YHK2rpj++wnLVc9vPGzGFP3Pjeld2MwhKinetA0zKXOoHAT/Jit5O8kZsxcSlJPu9wvcGT1UGZEjZrtO7PfFOQ==}
engines: {node: '>=18'}
@@ -1543,6 +1574,15 @@ packages:
zod:
optional: true
+ '@ai-sdk/provider-utils@2.0.2':
+ resolution: {integrity: sha512-IAvhKhdlXqiSmvx/D4uNlFYCl8dWT+M9K+IuEcSgnE2Aj27GWu8sDIpAf4r4Voc+wOUkOECVKQhFo8g9pozdjA==}
+ engines: {node: '>=18'}
+ peerDependencies:
+ zod: ^3.0.0
+ peerDependenciesMeta:
+ zod:
+ optional: true
+
'@ai-sdk/provider@0.0.26':
resolution: {integrity: sha512-dQkfBDs2lTYpKM8389oopPdQgIU007GQyCbuPPrV+K6MtSII3HBfE0stUIMXUb44L+LK1t6GXPP7wjSzjO6uKg==}
engines: {node: '>=18'}
@@ -1551,6 +1591,10 @@ packages:
resolution: {integrity: sha512-Sj29AzooJ7SYvhPd+AAWt/E7j63E9+AzRnoMHUaJPRYzOd/WDrVNxxv85prF9gDcQ7XPVlSk9j6oAZV9/DXYpA==}
engines: {node: '>=18'}
+ '@ai-sdk/provider@1.0.1':
+ resolution: {integrity: sha512-mV+3iNDkzUsZ0pR2jG0sVzU6xtQY5DtSCBy3JFycLp6PwjyLw/iodfL3MwdmMCRJWgs3dadcHejRnMvF9nGTBg==}
+ engines: {node: '>=18'}
+
'@ai-sdk/react@0.0.70':
resolution: {integrity: sha512-GnwbtjW4/4z7MleLiW+TOZC2M29eCg1tOUpuEiYFMmFNZK8mkrqM0PFZMo6UsYeUYMWqEOOcPOU9OQVJMJh7IQ==}
engines: {node: '>=18'}
@@ -1575,6 +1619,18 @@ packages:
zod:
optional: true
+ '@ai-sdk/react@1.0.3':
+ resolution: {integrity: sha512-Mak7qIRlbgtP4I7EFoNKRIQTlABJHhgwrN8SV2WKKdmsfWK2RwcubQWz1hp88cQ0bpF6KxxjSY1UUnS/S9oR5g==}
+ engines: {node: '>=18'}
+ peerDependencies:
+ react: ^18 || ^19 || ^19.0.0-rc
+ zod: ^3.0.0
+ peerDependenciesMeta:
+ react:
+ optional: true
+ zod:
+ optional: true
+
'@ai-sdk/solid@0.0.54':
resolution: {integrity: sha512-96KWTVK+opdFeRubqrgaJXoNiDP89gNxFRWUp0PJOotZW816AbhUf4EnDjBjXTLjXL1n0h8tGSE9sZsRkj9wQQ==}
engines: {node: '>=18'}
@@ -1611,6 +1667,15 @@ packages:
zod:
optional: true
+ '@ai-sdk/ui-utils@1.0.2':
+ resolution: {integrity: sha512-hHrUdeThGHu/rsGZBWQ9PjrAU9Htxgbo9MFyR5B/aWoNbBeXn1HLMY1+uMEnXL5pRPlmyVRjgIavWg7UgeNDOw==}
+ engines: {node: '>=18'}
+ peerDependencies:
+ zod: ^3.0.0
+ peerDependenciesMeta:
+ zod:
+ optional: true
+
'@ai-sdk/vue@0.0.59':
resolution: {integrity: sha512-+ofYlnqdc8c4F6tM0IKF0+7NagZRAiqBJpGDJ+6EYhDW8FHLUP/JFBgu32SjxSxC6IKFZxEnl68ZoP/Z38EMlw==}
engines: {node: '>=18'}
@@ -5918,6 +5983,18 @@ packages:
zod:
optional: true
+ ai@4.0.6:
+ resolution: {integrity: sha512-TD7fH0LymjIYWmdQViB5SoBb1iuuDPOZ7RMU3W9r4SeUf68RzWyixz118QHQTENNqPiGA6vs5NDVAmZOnhzqYA==}
+ engines: {node: '>=18'}
+ peerDependencies:
+ react: ^18 || ^19 || ^19.0.0-rc
+ zod: ^3.0.0
+ peerDependenciesMeta:
+ react:
+ optional: true
+ zod:
+ optional: true
+
ajv-formats@2.1.1:
resolution: {integrity: sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==}
peerDependencies:
@@ -13286,6 +13363,12 @@ packages:
snapshots:
+ '@ai-sdk/openai@1.0.5(zod@3.23.8)':
+ dependencies:
+ '@ai-sdk/provider': 1.0.1
+ '@ai-sdk/provider-utils': 2.0.2(zod@3.23.8)
+ zod: 3.23.8
+
'@ai-sdk/provider-utils@1.0.22(zod@3.23.8)':
dependencies:
'@ai-sdk/provider': 0.0.26
@@ -13304,6 +13387,15 @@ snapshots:
optionalDependencies:
zod: 3.23.8
+ '@ai-sdk/provider-utils@2.0.2(zod@3.23.8)':
+ dependencies:
+ '@ai-sdk/provider': 1.0.1
+ eventsource-parser: 3.0.0
+ nanoid: 3.3.7
+ secure-json-parse: 2.7.0
+ optionalDependencies:
+ zod: 3.23.8
+
'@ai-sdk/provider@0.0.26':
dependencies:
json-schema: 0.4.0
@@ -13312,6 +13404,10 @@ snapshots:
dependencies:
json-schema: 0.4.0
+ '@ai-sdk/provider@1.0.1':
+ dependencies:
+ json-schema: 0.4.0
+
'@ai-sdk/react@0.0.70(react@18.3.1)(zod@3.23.8)':
dependencies:
'@ai-sdk/provider-utils': 1.0.22(zod@3.23.8)
@@ -13332,6 +13428,16 @@ snapshots:
react: 18.3.1
zod: 3.23.8
+ '@ai-sdk/react@1.0.3(react@19.0.0-rc-bf7e210c-20241017)(zod@3.23.8)':
+ dependencies:
+ '@ai-sdk/provider-utils': 2.0.2(zod@3.23.8)
+ '@ai-sdk/ui-utils': 1.0.2(zod@3.23.8)
+ swr: 2.2.5(react@19.0.0-rc-bf7e210c-20241017)
+ throttleit: 2.1.0
+ optionalDependencies:
+ react: 19.0.0-rc-bf7e210c-20241017
+ zod: 3.23.8
+
'@ai-sdk/solid@0.0.54(zod@3.23.8)':
dependencies:
'@ai-sdk/provider-utils': 1.0.22(zod@3.23.8)
@@ -13367,6 +13473,14 @@ snapshots:
optionalDependencies:
zod: 3.23.8
+ '@ai-sdk/ui-utils@1.0.2(zod@3.23.8)':
+ dependencies:
+ '@ai-sdk/provider': 1.0.1
+ '@ai-sdk/provider-utils': 2.0.2(zod@3.23.8)
+ zod-to-json-schema: 3.23.5(zod@3.23.8)
+ optionalDependencies:
+ zod: 3.23.8
+
'@ai-sdk/vue@0.0.59(vue@3.5.12(typescript@5.6.3))(zod@3.23.8)':
dependencies:
'@ai-sdk/provider-utils': 1.0.22(zod@3.23.8)
@@ -19107,6 +19221,19 @@ snapshots:
react: 18.3.1
zod: 3.23.8
+ ai@4.0.6(react@19.0.0-rc-bf7e210c-20241017)(zod@3.23.8):
+ dependencies:
+ '@ai-sdk/provider': 1.0.1
+ '@ai-sdk/provider-utils': 2.0.2(zod@3.23.8)
+ '@ai-sdk/react': 1.0.3(react@19.0.0-rc-bf7e210c-20241017)(zod@3.23.8)
+ '@ai-sdk/ui-utils': 1.0.2(zod@3.23.8)
+ '@opentelemetry/api': 1.9.0
+ jsondiffpatch: 0.6.0
+ zod-to-json-schema: 3.23.5(zod@3.23.8)
+ optionalDependencies:
+ react: 19.0.0-rc-bf7e210c-20241017
+ zod: 3.23.8
+
ajv-formats@2.1.1(ajv@8.17.1):
optionalDependencies:
ajv: 8.17.1
@@ -26905,6 +27032,12 @@ snapshots:
react: 18.3.1
use-sync-external-store: 1.2.2(react@18.3.1)
+ swr@2.2.5(react@19.0.0-rc-bf7e210c-20241017):
+ dependencies:
+ client-only: 0.0.1
+ react: 19.0.0-rc-bf7e210c-20241017
+ use-sync-external-store: 1.2.2(react@19.0.0-rc-bf7e210c-20241017)
+
swrev@4.0.0: {}
swrv@1.0.4(vue@3.5.12(typescript@5.6.3)):
@@ -27549,6 +27682,10 @@ snapshots:
dependencies:
react: 18.3.1
+ use-sync-external-store@1.2.2(react@19.0.0-rc-bf7e210c-20241017):
+ dependencies:
+ react: 19.0.0-rc-bf7e210c-20241017
+
util-deprecate@1.0.2: {}
utila@0.4.0: {}
diff --git a/tsconfig.json b/tsconfig.json
index f8ea549d3ce48e876b6a3eafae1cbdbb4267cd7c..ee6c508cabf104ce4e9eb5e026faeb83875d3fd8 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -56,6 +56,9 @@
{
"path": "./packages/providers/vllm/tsconfig.json"
},
+ {
+ "path": "./packages/providers/vercel/tsconfig.json"
+ },
{
"path": "./packages/cloud/tsconfig.json"
},