ci: linting, type checking and testing - fix

.changeset/floppy-carrots-fold.md

@@ -0,0 +1,9 @@
+---
+"@llamaindex/workflow": minor
+"@llamaindex/tools": minor
+"@llamaindex/core": minor
+"@llamaindex/resolution-tests": patch
+"@llamaindex/e2e": patch
+---
+
+Moving tools from zod to zod/v4; adding responseFormat to llm.exec

.github/workflows/test.yml

@@ -105,7 +105,6 @@ jobs:
         run: |
           pnpm pack --pack-destination ${{ runner.temp }} -C packages/llamaindex
           pnpm pack --pack-destination ${{ runner.temp }} -C packages/workflow
-          pnpm pack --pack-destination ${{ runner.temp }} -C packages/core
       - name: Install packed packages
         run: npm add ${{ runner.temp }}/*.tgz
         working-directory: e2e/npm
@@ -163,7 +162,7 @@ jobs:
           github_token: ${{ secrets.GITHUB_TOKEN }}
           directory: e2e/examples/vite-import-llamaindex
           skip_step: "install"
-          build_script: ci-build
+          build_script: build
           package_manager: pnpm
 
   typecheck-examples:
@@ -204,7 +203,7 @@ jobs:
             fi
           done
       - name: Install
-        run: npm add ${{ runner.temp }}/*.tgz --legacy-peer-deps
+        run: npm add ${{ runner.temp }}/*.tgz
         working-directory: ${{ runner.temp }}/examples
       - name: Run Type Check
         run: npx tsc --project ./tsconfig.json

apps/next/CHANGELOG.md

@@ -1,44 +1,5 @@
 # @llamaindex/doc
 
-## 0.2.54
-
-### Patch Changes
-
-- ed37c64: Addition of APAC_ANTHROPIC_CLAUDE_4_SONNET type/record in @llamaindex/aws for APAC support for claude 4 sonnet per issue 2184.
-- Updated dependencies [8929dcf]
-- Updated dependencies [5da1cda]
-  - llamaindex@0.11.29
-  - @llamaindex/core@0.6.21
-  - @llamaindex/workflow@1.1.23
-  - @llamaindex/openai@0.4.19
-  - @llamaindex/cloud@4.1.3
-  - @llamaindex/node-parser@2.0.21
-  - @llamaindex/readers@3.1.20
-
-## 0.2.53
-
-### Patch Changes
-
-- Updated dependencies [1995b38]
-- Updated dependencies [001a515]
-- Updated dependencies [9d7d205]
-  - @llamaindex/workflow@1.1.22
-  - @llamaindex/openai@0.4.18
-  - llamaindex@0.11.28
-
-## 0.2.52
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-  - @llamaindex/cloud@4.1.2
-  - llamaindex@0.11.27
-  - @llamaindex/node-parser@2.0.20
-  - @llamaindex/openai@0.4.17
-  - @llamaindex/readers@3.1.19
-  - @llamaindex/workflow@1.1.21
-
 ## 0.2.51
 
 ### Patch Changes

apps/next/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/doc",
-  "version": "0.2.54",
+  "version": "0.2.51",
   "private": true,
   "scripts": {
     "postinstall": "fumadocs-mdx",
@@ -15,7 +15,7 @@
   "dependencies": {
     "@huggingface/transformers": "^3.5.0",
     "@icons-pack/react-simple-icons": "^10.1.0",
-    "@llamaindex/chat-ui-docs": "^0.1.0",
+    "@llamaindex/chat-ui-docs": "^0.0.5",
     "@llamaindex/cloud": "workspace:*",
     "@llamaindex/core": "workspace:*",
     "@llamaindex/node-parser": "workspace:*",

apps/next/src/content/docs/llamaindex/modules/models/llms/bedrock.mdx

@@ -115,7 +115,6 @@ EU_AMAZON_NOVA_MICRO_1 = "eu.amazon.nova-micro-v1:0";
 APAC_ANTHROPIC_CLAUDE_3_5_SONNET = "apac.anthropic.claude-3-5-sonnet-20240620-v1:0";
 APAC_ANTHROPIC_CLAUDE_3_5_SONNET_V2 = "apac.anthropic.claude-3-5-sonnet-20241022-v2:0";
 APAC_ANTHROPIC_CLAUDE_3_7_SONNET = "apac.anthropic.claude-3-7-sonnet-20250219-v1:0";
-APAC_ANTHROPIC_CLAUDE_4_SONNET = "apac.anthropic.claude-sonnet-4-20250514-v1:0";
 APAC_ANTHROPIC_CLAUDE_3_HAIKU = "apac.anthropic.claude-3-haiku-20240307-v1:0";
 APAC_ANTHROPIC_CLAUDE_3_SONNET = "apac.anthropic.claude-3-sonnet-20240229-v1:0";
 APAC_AMAZON_NOVA_PRO_1 = "apac.amazon.nova-pro-v1:0";

apps/next/src/content/docs/llamaindex/tutorials/custom_model_per_request.mdx

@@ -1,47 +0,0 @@
----
-title: Custom Model Per Request 
----
-
-There are scenarios, such as the case of a multi-tenant backend API, where it may be required to handle each request with a custom model.
-
-In such a scenario, modifying the `Settings` object directly as follows is not recommended:
-
-```typescript
-import { Settings } from 'llamaindex';
-import { OpenAIEmbedding } from '@llamaindex/embeddings-openai';
-
-Settings.embedModel = new OpenAIEmbedding({ apiKey: 'CLIENT_API_KEY' });
-Settings.llm = openai({ apiKey: key,  model: 'gpt-4o' })
-```
-
-Setting `llm` and `embedModel` directly will lead to unpredictable responses, since `Settings` is global and mutable.
-This can lead to race conditions, as each request modifies `Settings.embedModel` or `Settings.llm`.
-
-The recommended approach is to use `Settings.withEmbedModel` or `Settings.withLLM` as follows:
-
-```typescript
-const embedModel = new OpenAIEmbedding({
-  apiKey: process.env.OPENAI_API_KEY,
-});
-const llm = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
-
-const llmResponse = await Settings.withEmbedModel(embedModel, async () => {
-  return Settings.withLLM(llm, async () => {
-    const path = "node_modules/llamaindex/examples/abramov.txt";
-    const essay = await fs.readFile(path, "utf-8");
-    // Create Document object with essay
-    const document = new Document({ text: essay, id_: path });
-    // Split text and create embeddings. Store them in a VectorStoreIndex
-    const index = await VectorStoreIndex.fromDocuments([document]);
-    // Query the index
-    const queryEngine = index.asQueryEngine();
-    const { message, sourceNodes } = await queryEngine.query({
-      query: "What did the author do in college?",
-    });
-    // Return response with sources
-    return message.content;
-  });
-});
-```
-
-The full example can be found [here](https://github.com/run-llama/LlamaIndexTS/tree/main/examples/local-settings).

apps/next/src/content/docs/llamaindex/tutorials/meta.json

@@ -7,7 +7,6 @@
     "workflows",
     "local_llm",
     "chatbot",
-    "structured_data_extraction",
-    "custom_model_per_request"
+    "structured_data_extraction"
   ]
 }

apps/next/src/content/docs/llamaindex/tutorials/structured_data_extraction.mdx

@@ -46,31 +46,3 @@ You should expect output something like:
   ]
 }
 ```
-
-## Using the `exec` method
-
-Many LLMs do not natively support structured output, and often rely exclusively on prompt or context engineering.
-
-In this sense, we proved you with an alternative for structured data extraction, using the `exec` method with `responseFormat`.
-
-For example, you can, in a new folder, install our Anthropic integration and `zod` v3:
-
-```package-install
-npm init
-npm i -D typescript @types/node
-npm i @llamaindex/anthropic zod@3.25.76
-```
-
-And then try extracting data with this code:
-
-<include cwd>../../examples/agents/tools/response-format-exec.ts</include>
-
-The output should look like this:
-
-```json
-{
-  "title": "La Divina Commedia",
-  "author": "Dante Alighieri",
-  "year": 1321
-}
-```

e2e/examples/cloudflare-worker-agent/CHANGELOG.md

@@ -1,24 +1,5 @@
 # @llamaindex/cloudflare-worker-agent-test
 
-## 0.0.190
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 0.0.189
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 0.0.188
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 0.0.187
 
 ### Patch Changes

e2e/examples/cloudflare-worker-agent/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.190",
+  "version": "0.0.187",
   "type": "module",
   "private": true,
   "scripts": {

e2e/examples/llama-parse-browser/CHANGELOG.md

@@ -1,17 +1,5 @@
 # @llamaindex/llama-parse-browser-test
 
-## 0.0.87
-
-### Patch Changes
-
-- @llamaindex/cloud@4.1.3
-
-## 0.0.86
-
-### Patch Changes
-
-- @llamaindex/cloud@4.1.2
-
 ## 0.0.85
 
 ### Patch Changes

e2e/examples/llama-parse-browser/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/llama-parse-browser-test",
   "private": true,
-  "version": "0.0.87",
+  "version": "0.0.85",
   "type": "module",
   "scripts": {
     "dev": "vite",
@@ -10,7 +10,7 @@
   },
   "devDependencies": {
     "typescript": "^5.8.3",
-    "vite": "^6.3.6",
+    "vite": "^6.3.3",
     "vite-plugin-wasm": "^3.4.1"
   },
   "dependencies": {

e2e/examples/nextjs-agent/CHANGELOG.md

@@ -1,24 +1,5 @@
 # @llamaindex/next-agent-test
 
-## 0.1.190
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 0.1.189
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 0.1.188
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 0.1.187
 
 ### Patch Changes

e2e/examples/nextjs-agent/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/next-agent-test",
-  "version": "0.1.190",
+  "version": "0.1.187",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/nextjs-edge-runtime/CHANGELOG.md

@@ -1,24 +1,5 @@
 # test-edge-runtime
 
-## 0.1.189
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 0.1.188
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 0.1.187
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 0.1.186
 
 ### Patch Changes

e2e/examples/nextjs-edge-runtime/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/nextjs-edge-runtime-test",
-  "version": "0.1.189",
+  "version": "0.1.186",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/nextjs-node-runtime/CHANGELOG.md

@@ -1,29 +1,5 @@
 # @llamaindex/next-node-runtime
 
-## 0.1.61
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-  - @llamaindex/huggingface@0.1.29
-  - @llamaindex/readers@3.1.20
-
-## 0.1.60
-
-### Patch Changes
-
-- llamaindex@0.11.28
-- @llamaindex/huggingface@0.1.28
-
-## 0.1.59
-
-### Patch Changes
-
-- llamaindex@0.11.27
-- @llamaindex/huggingface@0.1.27
-- @llamaindex/readers@3.1.19
-
 ## 0.1.58
 
 ### Patch Changes

e2e/examples/nextjs-node-runtime/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.1.61",
+  "version": "0.1.58",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/vite-import-llamaindex/CHANGELOG.md

@@ -1,24 +1,5 @@
 # vite-import-llamaindex
 
-## 0.0.56
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 0.0.55
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 0.0.54
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 0.0.53
 
 ### Patch Changes

e2e/examples/vite-import-llamaindex/package.json

@@ -1,12 +1,11 @@
 {
   "name": "vite-import-llamaindex",
   "private": true,
-  "version": "0.0.56",
+  "version": "0.0.53",
   "type": "module",
   "scripts": {
     "build": "vite build",
-    "size-limit": "size-limit",
-    "ci-build": "pnpm -C ../../../ build && vite build"
+    "size-limit": "size-limit"
   },
   "size-limit": [
     {
@@ -17,7 +16,7 @@
     "@size-limit/preset-big-lib": "^11.1.6",
     "size-limit": "^11.1.6",
     "typescript": "^5.8.3",
-    "vite": "^6.3.6"
+    "vite": "^6.3.3"
   },
   "dependencies": {
     "llamaindex": "workspace:*"

e2e/examples/vite-import-llamaindex/tsconfig.tsbuildinfo

@@ -1 +1 @@
-{"root":["./src/main.ts","./vite.config.ts"],"version":"5.7.3"}
+{"root":["./src/main.ts","./vite.config.ts"],"version":"5.8.3"}

e2e/examples/waku-query-engine/CHANGELOG.md

@@ -1,24 +1,5 @@
 # @llamaindex/waku-query-engine-test
 
-## 0.0.190
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 0.0.189
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 0.0.188
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 0.0.187
 
 ### Patch Changes

e2e/examples/waku-query-engine/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.190",
+  "version": "0.0.187",
   "type": "module",
   "private": true,
   "scripts": {

e2e/node/fixtures/tools.ts

@@ -1,5 +1,5 @@
 import { FunctionTool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 function sumNumbers({ a, b }: { a: number; b: number }) {
   return `${a + b}`;
@@ -13,12 +13,8 @@ export const sumNumbersTool = FunctionTool.from(sumNumbers, {
   name: "sumNumbers",
   description: "Use this function to sum two numbers",
   parameters: z.object({
-    a: z.number({
-      description: "The first number",
-    }),
-    b: z.number({
-      description: "The second number",
-    }),
+    a: z.number({}).describe("The first number"),
+    b: z.number({}).describe("The second number"),
   }),
 });
 
@@ -26,12 +22,8 @@ export const divideNumbersTool = FunctionTool.from(divideNumbers, {
   name: "divideNumbers",
   description: "Use this function to divide two numbers",
   parameters: z.object({
-    a: z.number({
-      description: "The first number",
-    }),
-    b: z.number({
-      description: "The second number",
-    }),
+    a: z.number({}).describe("The first number"),
+    b: z.number({}).describe("The second number"),
   }),
 });
 
@@ -44,7 +36,7 @@ export const getWeatherTool = FunctionTool.from(
     name: "getWeather",
     description: "Get the weather for a city",
     parameters: z.object({
-      city: z.string().describe("The city to get the weather for"),
+      city: z.string({}).describe("The city to get the weather for"),
     }),
   },
 );

e2e/npm/test/workflow.e2e.ts

@@ -3,7 +3,7 @@ import { agent } from "@llamaindex/workflow";
 import { Settings, tool } from "llamaindex";
 import { ok } from "node:assert";
 import { test } from "node:test";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 Settings.llm = new OpenAI({ model: "gpt-4-0613" });
 

examples/CHANGELOG.md

@@ -1,135 +1,5 @@
 # examples
 
-## 0.3.41
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-- Updated dependencies [5da1cda]
-- Updated dependencies [5d5cd44]
-- Updated dependencies [c40adaf]
-  - llamaindex@0.11.29
-  - @llamaindex/core@0.6.21
-  - @llamaindex/tools@0.1.11
-  - @llamaindex/workflow@1.1.23
-  - @llamaindex/ollama@0.1.22
-  - @llamaindex/openai@0.4.19
-  - @llamaindex/vercel@0.1.21
-  - @llamaindex/anthropic@0.3.24
-  - @llamaindex/google@0.3.21
-  - @llamaindex/cloud@4.1.3
-  - @llamaindex/node-parser@2.0.21
-  - @llamaindex/assemblyai@0.1.20
-  - @llamaindex/clip@0.0.75
-  - @llamaindex/cohere@0.0.35
-  - @llamaindex/deepinfra@0.0.75
-  - @llamaindex/discord@0.1.20
-  - @llamaindex/huggingface@0.1.29
-  - @llamaindex/jinaai@0.0.35
-  - @llamaindex/mistral@0.1.21
-  - @llamaindex/mixedbread@0.0.35
-  - @llamaindex/notion@0.1.20
-  - @llamaindex/perplexity@0.0.32
-  - @llamaindex/portkey-ai@0.0.63
-  - @llamaindex/replicate@0.0.63
-  - @llamaindex/bm25-retriever@0.0.10
-  - @llamaindex/astra@0.0.35
-  - @llamaindex/azure@0.1.36
-  - @llamaindex/chroma@0.0.35
-  - @llamaindex/elastic-search@0.1.21
-  - @llamaindex/firestore@1.0.28
-  - @llamaindex/milvus@0.1.30
-  - @llamaindex/mongodb@0.0.36
-  - @llamaindex/pinecone@0.1.21
-  - @llamaindex/postgres@0.0.64
-  - @llamaindex/qdrant@0.1.31
-  - @llamaindex/supabase@0.1.22
-  - @llamaindex/upstash@0.0.35
-  - @llamaindex/weaviate@0.0.36
-  - @llamaindex/voyage-ai@1.0.27
-  - @llamaindex/readers@3.1.20
-  - @llamaindex/deepseek@0.0.37
-  - @llamaindex/fireworks@0.0.35
-  - @llamaindex/groq@0.0.91
-  - @llamaindex/together@0.0.35
-  - @llamaindex/vllm@0.0.61
-  - @llamaindex/xai@0.0.22
-
-## 0.3.40
-
-### Patch Changes
-
-- Updated dependencies [1995b38]
-- Updated dependencies [001a515]
-- Updated dependencies [9d7d205]
-  - @llamaindex/workflow@1.1.22
-  - @llamaindex/openai@0.4.18
-  - llamaindex@0.11.28
-  - @llamaindex/clip@0.0.74
-  - @llamaindex/deepinfra@0.0.74
-  - @llamaindex/deepseek@0.0.36
-  - @llamaindex/fireworks@0.0.34
-  - @llamaindex/groq@0.0.90
-  - @llamaindex/huggingface@0.1.28
-  - @llamaindex/jinaai@0.0.34
-  - @llamaindex/perplexity@0.0.31
-  - @llamaindex/azure@0.1.35
-  - @llamaindex/together@0.0.34
-  - @llamaindex/vllm@0.0.60
-  - @llamaindex/xai@0.0.21
-
-## 0.3.39
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-  - @llamaindex/cloud@4.1.2
-  - llamaindex@0.11.27
-  - @llamaindex/node-parser@2.0.20
-  - @llamaindex/anthropic@0.3.23
-  - @llamaindex/assemblyai@0.1.19
-  - @llamaindex/clip@0.0.73
-  - @llamaindex/cohere@0.0.34
-  - @llamaindex/deepinfra@0.0.73
-  - @llamaindex/discord@0.1.19
-  - @llamaindex/google@0.3.20
-  - @llamaindex/huggingface@0.1.27
-  - @llamaindex/jinaai@0.0.33
-  - @llamaindex/mistral@0.1.20
-  - @llamaindex/mixedbread@0.0.34
-  - @llamaindex/notion@0.1.19
-  - @llamaindex/ollama@0.1.21
-  - @llamaindex/openai@0.4.17
-  - @llamaindex/perplexity@0.0.30
-  - @llamaindex/portkey-ai@0.0.62
-  - @llamaindex/replicate@0.0.62
-  - @llamaindex/bm25-retriever@0.0.9
-  - @llamaindex/astra@0.0.34
-  - @llamaindex/azure@0.1.34
-  - @llamaindex/chroma@0.0.34
-  - @llamaindex/elastic-search@0.1.20
-  - @llamaindex/firestore@1.0.27
-  - @llamaindex/milvus@0.1.29
-  - @llamaindex/mongodb@0.0.35
-  - @llamaindex/pinecone@0.1.20
-  - @llamaindex/postgres@0.0.63
-  - @llamaindex/qdrant@0.1.30
-  - @llamaindex/supabase@0.1.21
-  - @llamaindex/upstash@0.0.34
-  - @llamaindex/weaviate@0.0.35
-  - @llamaindex/vercel@0.1.20
-  - @llamaindex/voyage-ai@1.0.26
-  - @llamaindex/readers@3.1.19
-  - @llamaindex/tools@0.1.10
-  - @llamaindex/workflow@1.1.21
-  - @llamaindex/deepseek@0.0.35
-  - @llamaindex/fireworks@0.0.33
-  - @llamaindex/groq@0.0.89
-  - @llamaindex/together@0.0.33
-  - @llamaindex/vllm@0.0.59
-  - @llamaindex/xai@0.0.20
-
 ## 0.3.38
 
 ### Patch Changes

examples/agents/agent/blog-writer.ts

@@ -8,7 +8,7 @@ import {
 import fs from "fs";
 import { tool } from "llamaindex";
 import os from "os";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 import { wiki } from "@llamaindex/tools";
 const llm = openai({

examples/agents/agent/large-toolcall.ts

@@ -1,7 +1,7 @@
 import { OpenAI } from "@llamaindex/openai";
 import { agent } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const csvData =
   "TITLE,RELEASE_YEAR,SCORE,NUMBER_OF_VOTES,DURATION,MAIN_GENRE,MAIN_PRODUCTION\nDavid Attenborough: A Life on Our Planet,2020,9,31180,83,documentary,GB\nInception,2010,8.8,2268288,148,scifi,GB\nForrest Gump,1994,8.8,1994599,142,drama,US\nAnbe Sivam,2003,8.7,20595,160,comedy,IN\nBo Burnham: Inside,2021,8.7,44074,87,comedy,US\nSaving Private Ryan,1998,8.6,1346020,169,drama,US\nDjango Unchained,2012,8.4,1472668,165,western,US\nDangal,2016,8.4,180247,161,action,IN\nBo Burnham: Make Happy,2016,8.4,14356,60,comedy,US\nLouis C.K.: Hilarious,2010,8.4,11973,84,comedy,US\nDave Chappelle: Sticks & Stones,2019,8.4,25687,65,comedy,US\n3 Idiots,2009,8.4,385782,170,comedy,IN\nBlack Friday,2004,8.4,20611,143,crime,IN\nSuper Deluxe,2019,8.4,13680,176,thriller,IN\nWinter on Fire: Ukraine's Fight for Freedom,2015,8.3,17710,98,documentary,UA\nOnce Upon a Time in America,1984,8.3,342335,229,drama,US\nTaxi Driver,1976,8.3,795222,113,crime,US\nLike Stars on Earth,2007,8.3,188234,165,drama,IN\nBo Burnham: What.,2013,8.3,11488,60,comedy,US\nFull Metal Jacket,1987,8.3,723306,116,drama,GB\nWarrior,2011,8.2,463276,140,drama,US\nDrishyam,2015,8.2,79075,163,thriller,IN\nQueen,2014,8.2,64805,146,drama,IN\nPaan Singh Tomar,2012,8.2,35888,135,drama,IN";

examples/agents/agent/multiple-agents.ts

@@ -15,7 +15,7 @@ import {
   stopAgentEvent,
 } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const llm = openai({
   model: "gpt-4o-mini",

examples/agents/agent/openai.ts

@@ -1,7 +1,7 @@
 import { openai } from "@llamaindex/openai";
 import { agent } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const sumNumbers = tool({
   name: "sumNumbers",

examples/agents/agent/with-anthropic.ts

@@ -6,7 +6,7 @@ import {
 } from "@llamaindex/workflow";
 import fs from "fs";
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 import { anthropic } from "@llamaindex/anthropic";
 

examples/agents/natural/joke.ts

@@ -14,8 +14,11 @@ const writeJokeSchema = z.object({
     .describe("The topic to write a joke or describe the joke to improve."),
   writtenJoke: z.optional(z.string()).describe("The written joke."),
   retriedTimes: z
-    .optional(z.number().default(0))
-    .describe("The retried times for writing the joke."),
+    .number()
+    .default(0)
+    .describe(
+      "The retried times for writing the joke. Always increase this from the input retriedTimes.",
+    ),
 });
 
 const critiqueSchema = z.object({

examples/agents/tools/exec-stream.ts

@@ -1,6 +1,6 @@
 import { openai } from "@llamaindex/openai";
 import { tool } from "llamaindex";
-import z from "zod";
+import * as z from "zod/v4";
 
 import { ChatMessage } from "llamaindex";
 

examples/agents/tools/exec.ts

@@ -1,6 +1,6 @@
 import { openai } from "@llamaindex/openai";
 import { ChatMessage, tool } from "llamaindex";
-import z from "zod";
+import * as z from "zod/v4";
 
 async function main() {
   const llm = openai({ model: "gpt-4.1-mini" });

examples/agents/tools/structured-response.ts

@@ -1,13 +1,13 @@
 import { Anthropic } from "@llamaindex/anthropic";
 import { ChatMessage, ToolCall } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const llm = new Anthropic({ model: "claude-4-0-sonnet" });
 
 const responseSchema = z.object({
-  title: z.string().describe("The title of the book"),
-  author: z.string().describe("The author of the book"),
-  year: z.number().describe("The publication year"),
+  title: z.string(),
+  author: z.string(),
+  year: z.number(),
 });
 
 async function main() {
@@ -27,7 +27,6 @@ async function main() {
       ],
       responseFormat: responseSchema,
     });
-    console.log(result.newMessages[0].content);
     messages.push(...result.newMessages);
     toolCalls = result.toolCalls;
   } while (toolCalls.length == 0);

examples/agents/tools/tools.ts

@@ -1,5 +1,5 @@
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 export const getCurrentIDTool = tool({
   name: "get_user_id",

examples/agents/workflow/joke.ts

@@ -22,7 +22,7 @@ const { withState, getContext } = createStatefulMiddleware(() => ({
 const jokeFlow = withState(createWorkflow());
 
 // Define handlers for each step
-jokeFlow.handle([startEvent], async (context, event) => {
+jokeFlow.handle([startEvent], async (event) => {
   // Prompt the LLM to write a joke
   const prompt = `Write your best joke about ${event.data}. Write the joke between <joke> and </joke> tags.`;
   const response = await llm.complete({ prompt });
@@ -34,7 +34,7 @@ jokeFlow.handle([startEvent], async (context, event) => {
   return jokeEvent.with({ joke: joke });
 });
 
-jokeFlow.handle([jokeEvent], async (context, event) => {
+jokeFlow.handle([jokeEvent], async (event) => {
   // Prompt the LLM to critique the joke
   const prompt = `Give a thorough critique of the following joke. If the joke needs improvement, put "IMPROVE" somewhere in the critique: ${event.data.joke}`;
   const response = await llm.complete({ prompt });
@@ -50,9 +50,9 @@ jokeFlow.handle([jokeEvent], async (context, event) => {
   return resultEvent.with({ joke: event.data.joke, critique: response.text });
 });
 
-jokeFlow.handle([critiqueEvent], async (context, event) => {
+jokeFlow.handle([critiqueEvent], async (event) => {
   // Keep track of the number of iterations
-  const state = context.state;
+  const state = getContext().state;
   state.numIterations++;
 
   // Write a new joke based on the previous joke and critique

examples/deprecated/agents/large_toolcall_with_gpt4o.ts

@@ -1,6 +1,6 @@
 import { OpenAI } from "@llamaindex/openai";
 import { FunctionTool, ToolCallOptions } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 (async () => {
   // The tool call will generate a partial JSON for `gpt-4-turbo`

examples/deprecated/agents/retriever_openai_agent.ts

@@ -6,7 +6,7 @@ import {
   NodeWithScore,
   VectorStoreIndex,
 } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 async function main() {
   // Load the documents

examples/deprecated/agents/stream_openai_agent.ts

@@ -1,6 +1,6 @@
 import { OpenAIAgent } from "@llamaindex/openai";
 import { FunctionTool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 // Define a function to sum two numbers
 function sumNumbers({ a, b }: { a: number; b: number }) {

examples/local-settings/local-settings.ts

@@ -1,69 +0,0 @@
-import { OpenAI, OpenAIEmbedding } from "@llamaindex/openai";
-import express, { Request, Response } from "express";
-import fs from "fs/promises";
-import { Document, Settings, VectorStoreIndex } from "llamaindex";
-
-const app = express();
-const port = 3000;
-
-app.get("/default", async (req: Request, res: Response) => {
-  const embedModel = new OpenAIEmbedding({
-    apiKey: process.env.OPENAI_API_KEY,
-  });
-  const llm = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
-
-  const llmResponse = await Settings.withEmbedModel(embedModel, async () => {
-    return Settings.withLLM(llm, async () => {
-      const path = "node_modules/llamaindex/examples/abramov.txt";
-      const essay = await fs.readFile(path, "utf-8");
-      // Create Document object with essay
-      const document = new Document({ text: essay, id_: path });
-      // Split text and create embeddings. Store them in a VectorStoreIndex
-      const index = await VectorStoreIndex.fromDocuments([document]);
-      // Query the index
-      const queryEngine = index.asQueryEngine();
-      const { message, sourceNodes } = await queryEngine.query({
-        query: "What did the author do in college?",
-      });
-      // Return response with sources
-      return message.content;
-    });
-  });
-  // res.send(message.content)
-  res.send(llmResponse);
-});
-
-app.get("/custom", async (req: Request, res: Response) => {
-  const embedModel = new OpenAIEmbedding({
-    apiKey: process.env.OPENAI_API_KEY,
-    model: "text-embedding-3-small",
-  });
-  const llm = new OpenAI({
-    apiKey: process.env.OPENAI_API_KEY,
-    model: "gpt-3.5-turbo",
-  });
-
-  const llmResponse = await Settings.withEmbedModel(embedModel, async () => {
-    return Settings.withLLM(llm, async () => {
-      const path = "node_modules/llamaindex/examples/abramov.txt";
-      const essay = await fs.readFile(path, "utf-8");
-      // Create Document object with essay
-      const document = new Document({ text: essay, id_: path });
-      // Split text and create embeddings. Store them in a VectorStoreIndex
-      const index = await VectorStoreIndex.fromDocuments([document]);
-      // Query the index
-      const queryEngine = index.asQueryEngine();
-      const { message, sourceNodes } = await queryEngine.query({
-        query: "What did the author do in college?",
-      });
-      // Return response with sources
-      return message.content;
-    });
-  });
-  // res.send(message.content)
-  res.send(llmResponse);
-});
-
-app.listen(port, () => {
-  console.log(`Example app listening on port ${port}`);
-});

examples/local-settings/package.json

@@ -1,22 +0,0 @@
-{
-  "name": "local-settings",
-  "version": "1.0.0",
-  "main": "index.js",
-  "private": "true",
-  "scripts": {
-    "test": "echo \"No tests for example package\""
-  },
-  "keywords": [],
-  "author": "",
-  "license": "ISC",
-  "description": "",
-  "devDependencies": {
-    "@types/express": "^5.0.3",
-    "typescript": "^5.9.2"
-  },
-  "dependencies": {
-    "@llamaindex/openai": "^0.4.16",
-    "express": "^5.1.0",
-    "llamaindex": "^0.11.26"
-  }
-}

examples/local-settings/tsconfig.json

@@ -1,8 +0,0 @@
-{
-  "extends": "../tsconfig.json",
-  "compilerOptions": {
-    "moduleResolution": "node",
-    "types": ["node", "express"]
-  },
-  "include": ["*.ts"]
-}

examples/models/anthropic/agent.ts

@@ -2,7 +2,7 @@ import { anthropic } from "@llamaindex/anthropic";
 import { wiki } from "@llamaindex/tools";
 import { agent } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const workflow = agent({
   tools: [

examples/models/gemini/agent.ts

@@ -1,8 +1,7 @@
 import { gemini, GEMINI_MODEL } from "@llamaindex/google";
 import { agent } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
-import { z } from "zod";
-
+import * as z from "zod/v4";
 const sumNumbers = tool({
   name: "sumNumbers",
   description: "Use this function to sum two numbers",

examples/models/gemini/chat.ts

@@ -1,8 +1,7 @@
 import { gemini, GEMINI_MODEL } from "@llamaindex/google";
 import fs from "fs";
 import { tool } from "llamaindex";
-import { z } from "zod";
-
+import * as z from "zod/v4";
 (async () => {
   if (!process.env.GOOGLE_API_KEY) {
     throw new Error("Please set the GOOGLE_API_KEY environment variable.");

examples/models/gemini/live/tool-call.ts

@@ -2,7 +2,7 @@ import { gemini, GEMINI_MODEL } from "@llamaindex/google";
 import { ModalityType, tool } from "llamaindex";
 
 import { liveEvents } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const weatherTool = tool({
   name: "weather",

examples/models/mistral/agent.ts

@@ -3,7 +3,7 @@ import { wiki } from "@llamaindex/tools";
 import { agent } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
 
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const workflow = agent({
   tools: [

examples/models/openai/responses/agent.ts

@@ -2,7 +2,7 @@ import { openaiResponses } from "@llamaindex/openai";
 import { wiki } from "@llamaindex/tools";
 import { agent } from "@llamaindex/workflow";
 import { tool } from "llamaindex";
-import { z } from "zod";
+import * as z from "zod/v4";
 
 const workflow = agent({
   tools: [

examples/models/openai/responses/tool-call.ts

@@ -1,7 +1,7 @@
 import { openaiResponses } from "@llamaindex/openai";
 import { tool } from "llamaindex";
 
-import { z } from "zod";
+import * as z from "zod/v4";
 async function main() {
   const weatherTool = tool({
     name: "weather",

examples/models/vercel/llamacloud.ts

@@ -1,6 +1,6 @@
 import { openai } from "@ai-sdk/openai";
 import { llamaindex } from "@llamaindex/vercel";
-import { stepCountIs, streamText } from "ai";
+import { streamText } from "ai";
 import { Document, LlamaCloudIndex } from "llamaindex";
 import fs from "node:fs/promises";
 
@@ -28,7 +28,7 @@ async function main() {
           "get information from your knowledge base to answer questions.", // optional description
       }),
     },
-    stopWhen: stepCountIs(5),
+    maxSteps: 5,
   });
 
   for await (const textPart of result.textStream) {

examples/models/vercel/vector-store.ts

@@ -1,6 +1,6 @@
 import { openai } from "@ai-sdk/openai";
 import { llamaindex } from "@llamaindex/vercel";
-import { stepCountIs, streamText } from "ai";
+import { streamText } from "ai";
 import { Document, VectorStoreIndex } from "llamaindex";
 
 import fs from "node:fs/promises";
@@ -24,7 +24,7 @@ async function main() {
           "get information from your knowledge base to answer questions.", // optional description
       }),
     },
-    stopWhen: stepCountIs(5),
+    maxSteps: 5,
   });
 
   for await (const textPart of result.textStream) {

examples/package.json

@@ -1,78 +1,77 @@
 {
   "name": "@llamaindex/examples",
-  "version": "0.3.41",
+  "version": "0.3.38",
   "private": true,
   "scripts": {
     "lint": "eslint .",
     "start": "echo 'To get started, run `npx tsx <path to example>`'"
   },
   "dependencies": {
-    "@ai-sdk/openai": "^2.0.27",
+    "@ai-sdk/openai": "^1.0.5",
     "@azure/cosmos": "^4.1.1",
     "@azure/identity": "^4.4.1",
     "@azure/search-documents": "^12.1.0",
-    "@llamaindex/anthropic": "^0.3.24",
-    "@llamaindex/assemblyai": "^0.1.20",
-    "@llamaindex/astra": "^0.0.35",
-    "@llamaindex/azure": "^0.1.36",
-    "@llamaindex/bm25-retriever": "^0.0.10",
-    "@llamaindex/chroma": "^0.0.35",
-    "@llamaindex/clip": "^0.0.75",
-    "@llamaindex/cloud": "^4.1.3",
-    "@llamaindex/cohere": "^0.0.35",
-    "@llamaindex/core": "^0.6.21",
-    "@llamaindex/deepinfra": "^0.0.75",
-    "@llamaindex/deepseek": "^0.0.37",
-    "@llamaindex/discord": "^0.1.20",
-    "@llamaindex/elastic-search": "^0.1.21",
+    "@llamaindex/anthropic": "^0.3.22",
+    "@llamaindex/assemblyai": "^0.1.18",
+    "@llamaindex/astra": "^0.0.33",
+    "@llamaindex/azure": "^0.1.33",
+    "@llamaindex/bm25-retriever": "^0.0.8",
+    "@llamaindex/chroma": "^0.0.33",
+    "@llamaindex/clip": "^0.0.72",
+    "@llamaindex/cloud": "^4.1.1",
+    "@llamaindex/cohere": "^0.0.33",
+    "@llamaindex/core": "^0.6.19",
+    "@llamaindex/deepinfra": "^0.0.72",
+    "@llamaindex/deepseek": "^0.0.34",
+    "@llamaindex/discord": "^0.1.18",
+    "@llamaindex/elastic-search": "^0.1.19",
     "@llamaindex/env": "^0.1.30",
-    "@llamaindex/firestore": "^1.0.28",
-    "@llamaindex/fireworks": "^0.0.35",
-    "@llamaindex/google": "^0.3.21",
-    "@llamaindex/groq": "^0.0.91",
-    "@llamaindex/huggingface": "^0.1.29",
-    "@llamaindex/jinaai": "^0.0.35",
-    "@llamaindex/milvus": "^0.1.30",
-    "@llamaindex/mistral": "^0.1.21",
-    "@llamaindex/mixedbread": "^0.0.35",
-    "@llamaindex/mongodb": "^0.0.36",
-    "@llamaindex/node-parser": "^2.0.21",
-    "@llamaindex/notion": "^0.1.20",
-    "@llamaindex/ollama": "^0.1.22",
-    "@llamaindex/openai": "^0.4.19",
-    "@llamaindex/perplexity": "^0.0.32",
-    "@llamaindex/pinecone": "^0.1.21",
-    "@llamaindex/portkey-ai": "^0.0.63",
-    "@llamaindex/postgres": "^0.0.64",
-    "@llamaindex/qdrant": "^0.1.31",
-    "@llamaindex/readers": "^3.1.20",
-    "@llamaindex/replicate": "^0.0.63",
-    "@llamaindex/supabase": "^0.1.22",
-    "@llamaindex/together": "^0.0.35",
-    "@llamaindex/tools": "^0.1.11",
-    "@llamaindex/upstash": "^0.0.35",
-    "@llamaindex/vercel": "^0.1.21",
-    "@llamaindex/vllm": "^0.0.61",
-    "@llamaindex/voyage-ai": "^1.0.27",
-    "@llamaindex/weaviate": "^0.0.36",
-    "@llamaindex/workflow": "^1.1.23",
-    "@llamaindex/xai": "^0.0.22",
+    "@llamaindex/firestore": "^1.0.26",
+    "@llamaindex/fireworks": "^0.0.32",
+    "@llamaindex/google": "^0.3.18",
+    "@llamaindex/groq": "^0.0.88",
+    "@llamaindex/huggingface": "^0.1.26",
+    "@llamaindex/jinaai": "^0.0.32",
+    "@llamaindex/milvus": "^0.1.28",
+    "@llamaindex/mistral": "^0.1.19",
+    "@llamaindex/mixedbread": "^0.0.33",
+    "@llamaindex/mongodb": "^0.0.34",
+    "@llamaindex/node-parser": "^2.0.19",
+    "@llamaindex/notion": "^0.1.18",
+    "@llamaindex/ollama": "^0.1.20",
+    "@llamaindex/openai": "^0.4.16",
+    "@llamaindex/perplexity": "^0.0.29",
+    "@llamaindex/pinecone": "^0.1.19",
+    "@llamaindex/portkey-ai": "^0.0.61",
+    "@llamaindex/postgres": "^0.0.62",
+    "@llamaindex/qdrant": "^0.1.29",
+    "@llamaindex/readers": "^3.1.18",
+    "@llamaindex/replicate": "^0.0.61",
+    "@llamaindex/supabase": "^0.1.20",
+    "@llamaindex/together": "^0.0.32",
+    "@llamaindex/tools": "^0.1.9",
+    "@llamaindex/upstash": "^0.0.33",
+    "@llamaindex/vercel": "^0.1.19",
+    "@llamaindex/vllm": "^0.0.58",
+    "@llamaindex/voyage-ai": "^1.0.25",
+    "@llamaindex/weaviate": "^0.0.34",
+    "@llamaindex/workflow": "^1.1.20",
+    "@llamaindex/xai": "^0.0.19",
     "@notionhq/client": "^4.0.0",
     "@pinecone-database/pinecone": "^4.0.0",
     "@vercel/postgres": "^0.10.0",
-    "ai": "^5.0.39",
+    "ai": "^4.3.17",
     "ajv": "^8.17.1",
     "commander": "^12.1.0",
     "dotenv": "^17.2.0",
     "js-tiktoken": "^1.0.14",
-    "llamaindex": "^0.11.29",
+    "llamaindex": "^0.11.26",
     "mongodb": "6.7.0",
     "postgres": "^3.4.4",
     "wikipedia": "^2.1.2",
-    "zod": "^4.1.5"
+    "zod": "^3.25.76"
   },
   "devDependencies": {
-    "@types/express": "^5.0.3",
     "@types/node": "^24.0.13",
     "tsx": "^4.20.3",
     "typescript": "^5.8.3"

packages/autotool/CHANGELOG.md

@@ -1,24 +1,5 @@
 # @llamaindex/autotool
 
-## 8.0.29
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 8.0.28
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 8.0.27
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 8.0.26
 
 ### Patch Changes

packages/autotool/examples/01_node/CHANGELOG.md

@@ -1,27 +1,5 @@
 # @llamaindex/autotool-01-node-example
 
-## 0.0.137
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-  - @llamaindex/autotool@8.0.29
-
-## 0.0.136
-
-### Patch Changes
-
-- llamaindex@0.11.28
-- @llamaindex/autotool@8.0.28
-
-## 0.0.135
-
-### Patch Changes
-
-- llamaindex@0.11.27
-- @llamaindex/autotool@8.0.27
-
 ## 0.0.134
 
 ### Patch Changes

packages/autotool/examples/01_node/package.json

@@ -13,5 +13,5 @@
   "scripts": {
     "start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
   },
-  "version": "0.0.137"
+  "version": "0.0.134"
 }

packages/autotool/package.json

@@ -6,7 +6,7 @@
     "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
     "directory": "packages/autotool"
   },
-  "version": "8.0.29",
+  "version": "8.0.26",
   "description": "auto transpile your JS function to LLM Agent compatible",
   "files": [
     "dist",

packages/cloud/CHANGELOG.md

@@ -1,19 +1,5 @@
 # @llamaindex/cloud
 
-## 4.1.3
-
-### Patch Changes
-
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 4.1.2
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
 ## 4.1.1
 
 ### Patch Changes

packages/cloud/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/cloud",
-  "version": "4.1.3",
+  "version": "4.1.1",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/community/CHANGELOG.md

@@ -1,20 +1,5 @@
 # @llamaindex/community
 
-## 0.0.103
-
-### Patch Changes
-
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 0.0.102
-
-### Patch Changes
-
-- 6ebd7c2: fix: invoke complete command using the actual modelId
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
 ## 0.0.101
 
 ### Patch Changes

packages/community/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/community",
   "description": "Community package for LlamaIndexTS",
-  "version": "0.0.103",
+  "version": "0.0.101",
   "type": "module",
   "types": "dist/type/index.d.ts",
   "main": "dist/cjs/index.js",

packages/community/src/llm/bedrock/index.ts

@@ -493,8 +493,6 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
 
     if (params.stream) {
       const command = new InvokeModelWithResponseStreamCommand(input);
-      command.input.modelId = this.actualModel;
-
       const response = await this.client.send(command);
       if (response.body)
         return streamConverter(response.body, (response) => {
@@ -506,8 +504,6 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
     }
 
     const command = new InvokeModelCommand(input);
-    command.input.modelId = this.actualModel;
-
     const response = await this.client.send(command);
     return {
       text: this.provider.getTextFromResponse(response),

packages/core/CHANGELOG.md

@@ -1,17 +1,5 @@
 # @llamaindex/core
 
-## 0.6.21
-
-### Patch Changes
-
-- 5da1cda: feat: support zod v4 & v3
-
-## 0.6.20
-
-### Patch Changes
-
-- 0267bb0: Added responseFormat to llm.exec
-
 ## 0.6.19
 
 ### Patch Changes

packages/core/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/core",
   "type": "module",
-  "version": "0.6.21",
+  "version": "0.6.19",
   "description": "LlamaIndex Core Module",
   "exports": {
     "./agent": {
@@ -278,17 +278,6 @@
         "default": "./postprocessor/dist/index.js"
       },
       "default": "./postprocessor/dist/index.js"
-    },
-    "./zod": {
-      "require": {
-        "types": "./zod/dist/index.d.cts",
-        "default": "./zod/dist/index.cjs"
-      },
-      "import": {
-        "types": "./zod/dist/index.d.ts",
-        "default": "./zod/dist/index.js"
-      },
-      "default": "./zod/dist/index.js"
     }
   },
   "files": [
@@ -313,8 +302,7 @@
     "./vector-store",
     "./tools",
     "./data-structs",
-    "./postprocessor",
-    "./zod"
+    "./postprocessor"
   ],
   "scripts": {
     "dev": "bunchee --watch",
@@ -333,9 +321,9 @@
   },
   "dependencies": {
     "@llamaindex/env": "workspace:*",
-    "@finom/zod-to-json-schema": "3.24.11",
     "@types/node": "^24.0.13",
     "magic-bytes.js": "^1.10.0",
-    "zod": "^4.1.5"
+    "zod": "^3.25.76",
+    "zod-to-json-schema": "^3.24.6"
   }
 }

packages/core/src/agent/utils.ts

@@ -1,4 +1,5 @@
 import type { Logger } from "@llamaindex/env";
+import { z } from "zod";
 import { type JSONObject, type JSONValue, Settings } from "../global";
 import type {
   BaseTool,
@@ -12,7 +13,7 @@ import type {
   ToolCallLLMMessageOptions,
   ToolOutput,
 } from "../llms";
-import { agentParamsSchema } from "../schema";
+import { baseToolWithCallSchema } from "../schema";
 import {
   assertIsJSONValue,
   isAsyncIterable,
@@ -304,7 +305,7 @@ export function validateAgentParams<AI extends LLM>(
   params: AgentParamsBase<AI>,
 ) {
   if ("tools" in params) {
-    agentParamsSchema.parse(params.tools);
+    z.array(baseToolWithCallSchema).parse(params.tools);
   } else {
     // todo: check `params.toolRetriever` when migrate to @llamaindex/core
   }

packages/core/src/llms/base.ts

@@ -3,7 +3,6 @@ import type { JSONObject } from "../global";
 import { tool } from "../tools/";
 import { extractText } from "../utils/llms";
 import { streamConverter } from "../utils/stream";
-import { isZodSchema, safeParseSchema } from "../zod";
 import { callToolToMessage, getToolCallsFromResponse } from "./tool-call";
 import type {
   ChatMessage,
@@ -21,6 +20,7 @@ import type {
   PartialToolCall,
   ToolCallLLMMessageOptions,
 } from "./type";
+import { isZodSchema } from "./utils";
 
 export abstract class BaseLLM<
   AdditionalChatOptions extends object = object,
@@ -101,13 +101,13 @@ export abstract class BaseLLM<
     | ExecStreamResponse<AdditionalMessageOptions>
   > {
     const responseFormat = params.responseFormat;
-    if (typeof responseFormat != "undefined" && isZodSchema(responseFormat)) {
+    if (responseFormat && isZodSchema(responseFormat)) {
       const structuredTool = tool({
         name: "format_output",
         description: "Respond with a JSON object",
         parameters: responseFormat,
         execute: (args) => {
-          const result = safeParseSchema(responseFormat, args);
+          const result = responseFormat.safeParse(args);
           if (!result.success) {
             console.error("Invalid input from LLM:", result.error);
             return JSON.stringify({

packages/core/src/llms/type.ts

@@ -1,10 +1,9 @@
 import type { Logger } from "@llamaindex/env";
 import type { Tokenizers } from "@llamaindex/env/tokenizers";
 import type { JSONSchemaType } from "ajv";
+import { z } from "zod";
 import type { JSONObject, JSONValue } from "../global";
 import type { ModalityType } from "../schema";
-import type { ZodSchema } from "../zod";
-
 /**
  * @internal
  */
@@ -140,7 +139,7 @@ export interface LLMChatParamsBase<
   messages: ChatMessage<AdditionalMessageOptions>[];
   additionalChatOptions?: AdditionalChatOptions | undefined;
   tools?: BaseTool[] | undefined;
-  responseFormat?: ZodSchema | object | undefined;
+  responseFormat?: z.ZodType | object | undefined;
   logger?: Logger | undefined;
 }
 
@@ -160,7 +159,7 @@ export interface LLMChatParamsNonStreaming<
 
 export interface LLMCompletionParamsBase {
   prompt: MessageContent;
-  responseFormat?: ZodSchema | object;
+  responseFormat?: z.ZodType | object;
 }
 
 export interface LLMCompletionParamsStreaming extends LLMCompletionParamsBase {

packages/core/src/llms/utils.ts

@@ -1,3 +1,4 @@
+import * as z from "zod/v4";
 import type {
   ChatMessage,
   MessageContentImageDataDetail,
@@ -26,3 +27,15 @@ export function addContentPart<AdditionalMessageOptions extends object>(
     }
   }
 }
+
+export function isZodSchema(obj: unknown): obj is z.ZodType {
+  return (
+    obj !== null &&
+    typeof obj === "object" &&
+    "parse" in obj &&
+    typeof (obj as { parse: unknown }).parse === "function" &&
+    "safeParse" in obj &&
+    typeof (obj as { safeParse: unknown }).safeParse === "function" &&
+    "_def" in obj
+  );
+}

packages/core/src/node-parser/sentence-splitter.ts

@@ -1,9 +1,10 @@
 import { consoleLogger, type Logger } from "@llamaindex/env";
 import type { Tokenizer } from "@llamaindex/env/tokenizers";
+import { z } from "zod";
 import { Settings } from "../global";
-import { sentenceSplitterSchema, type SentenceSplitterParams } from "../schema";
+import { sentenceSplitterSchema } from "../schema";
 import { MetadataAwareTextSplitter } from "./base";
-import type { PartialWithUndefined, SplitterParams } from "./type";
+import type { SplitterParams } from "./type";
 import {
   splitByChar,
   splitByRegex,
@@ -51,7 +52,7 @@ export class SentenceSplitter extends MetadataAwareTextSplitter {
   #logger: Logger;
 
   constructor(
-    params?: PartialWithUndefined<SentenceSplitterParams> &
+    params?: z.input<typeof sentenceSplitterSchema> &
       SplitterParams & { logger?: Logger },
   ) {
     super();

packages/core/src/node-parser/sentence-window.ts

@@ -1,13 +1,12 @@
 import { randomUUID } from "@llamaindex/env";
+import { z } from "zod";
 import {
   buildNodeFromSplits,
   Document,
   sentenceWindowNodeParserSchema,
   TextNode,
-  type SentenceWindowNodeParserParams,
 } from "../schema";
 import { NodeParser } from "./base";
-import type { PartialWithUndefined } from "./type";
 import { splitBySentenceTokenizer, type TextSplitterFn } from "./utils";
 
 export class SentenceWindowNodeParser extends NodeParser<TextNode[]> {
@@ -21,7 +20,7 @@ export class SentenceWindowNodeParser extends NodeParser<TextNode[]> {
   sentenceSplitter: TextSplitterFn = splitBySentenceTokenizer([], true);
   idGenerator: () => string = () => randomUUID();
 
-  constructor(params?: PartialWithUndefined<SentenceWindowNodeParserParams>) {
+  constructor(params?: z.input<typeof sentenceWindowNodeParserSchema>) {
     super();
     if (params) {
       const parsedParams = sentenceWindowNodeParserSchema.parse(params);

packages/core/src/node-parser/token-text-splitter.ts

@@ -1,16 +1,20 @@
 import { consoleLogger, type Logger } from "@llamaindex/env";
 import type { Tokenizer } from "@llamaindex/env/tokenizers";
+import { z } from "zod";
 import { DEFAULT_CHUNK_OVERLAP, DEFAULT_CHUNK_SIZE, Settings } from "../global";
-import {
-  tokenTextSplitterSchema,
-  type TokenTextSplitterParams,
-} from "../schema";
 import { MetadataAwareTextSplitter } from "./base";
-import type { PartialWithUndefined, SplitterParams } from "./type";
+import type { SplitterParams } from "./type";
 import { splitByChar, splitBySep } from "./utils";
 
 const DEFAULT_METADATA_FORMAT_LEN = 2;
 
+const tokenTextSplitterSchema = z.object({
+  chunkSize: z.number().positive().default(DEFAULT_CHUNK_SIZE),
+  chunkOverlap: z.number().nonnegative().default(DEFAULT_CHUNK_OVERLAP),
+  separator: z.string().default(" "),
+  backupSeparators: z.array(z.string()).default(["\n"]),
+});
+
 export class TokenTextSplitter extends MetadataAwareTextSplitter {
   chunkSize: number = DEFAULT_CHUNK_SIZE;
   chunkOverlap: number = DEFAULT_CHUNK_OVERLAP;
@@ -22,7 +26,7 @@ export class TokenTextSplitter extends MetadataAwareTextSplitter {
 
   constructor(
     params?: SplitterParams &
-      PartialWithUndefined<TokenTextSplitterParams> & { logger?: Logger },
+      Partial<z.infer<typeof tokenTextSplitterSchema>> & { logger?: Logger },
   ) {
     super();
 

packages/core/src/node-parser/type.ts

@@ -3,7 +3,3 @@ import type { Tokenizer } from "@llamaindex/env/tokenizers";
 export type SplitterParams = {
   tokenizer?: Tokenizer;
 };
-
-export type PartialWithUndefined<T> = {
-  [P in keyof T]?: T[P] | undefined;
-};

packages/core/src/schema/zod.ts

@@ -1,5 +1,5 @@
-import { z } from "zod/v3"; // use zod v3 to keep schemas as it is
-import { DEFAULT_CHUNK_OVERLAP, DEFAULT_CHUNK_SIZE, Settings } from "../global";
+import { z } from "zod";
+import { Settings } from "../global";
 
 export const anyFunctionSchema = z.function(z.tuple([]).rest(z.any()), z.any());
 
@@ -18,8 +18,6 @@ export const baseToolWithCallSchema = baseToolSchema.extend({
   call: z.function(),
 });
 
-export const agentParamsSchema = z.array(baseToolWithCallSchema);
-
 export const sentenceSplitterSchema = z
   .object({
     chunkSize: z
@@ -85,16 +83,3 @@ export const sentenceWindowNodeParserSchema = z.object({
     })
     .default("originalText"),
 });
-
-export const tokenTextSplitterSchema = z.object({
-  chunkSize: z.number().positive().default(DEFAULT_CHUNK_SIZE),
-  chunkOverlap: z.number().nonnegative().default(DEFAULT_CHUNK_OVERLAP),
-  separator: z.string().default(" "),
-  backupSeparators: z.array(z.string()).default(["\n"]),
-});
-
-export type SentenceSplitterParams = z.infer<typeof sentenceSplitterSchema>;
-export type TokenTextSplitterParams = z.infer<typeof tokenTextSplitterSchema>;
-export type SentenceWindowNodeParserParams = z.infer<
-  typeof sentenceWindowNodeParserSchema
->;

packages/core/src/tools/function-tool.ts

@@ -1,15 +1,8 @@
 import { consoleLogger, type Logger } from "@llamaindex/env";
 import type { JSONSchemaType } from "ajv";
-import type * as z3 from "zod/v3";
-import type * as z4 from "zod/v4/core";
+import * as z from "zod/v4";
 import type { JSONValue } from "../global";
 import type { BaseTool, ToolMetadata } from "../llms";
-import {
-  isZodSchema,
-  safeParseSchema,
-  type ZodSchema,
-  zodToJsonSchema,
-} from "../zod";
 
 export class FunctionTool<
   T,
@@ -20,13 +13,12 @@ export class FunctionTool<
   #fn: (input: T, additionalArg?: AdditionalToolArgument) => R;
   #additionalArg: AdditionalToolArgument | undefined;
   readonly #metadata: ToolMetadata<JSONSchemaType<T>>;
-  readonly #zodType: ZodSchema<T> | null = null;
+  readonly #zodType: z.ZodType<T> | null = null;
   readonly #logger: Logger;
-
   constructor(
     fn: (input: T, additionalArg?: AdditionalToolArgument) => R,
     metadata: ToolMetadata<JSONSchemaType<T>>,
-    zodType?: ZodSchema<T>,
+    zodType?: z.ZodType<T>,
     additionalArg?: AdditionalToolArgument,
     logger?: Logger,
   ) {
@@ -39,9 +31,6 @@ export class FunctionTool<
     this.#logger = logger ?? consoleLogger;
   }
 
-  // ----------------- OVERLOAD -----------------
-
-  // Plain JSON schema
   static from<T, AdditionalToolArgument extends object = object>(
     fn: (
       input: T,
@@ -49,74 +38,54 @@ export class FunctionTool<
     ) => JSONValue | Promise<JSONValue>,
     schema: ToolMetadata<JSONSchemaType<T>>,
   ): FunctionTool<T, JSONValue | Promise<JSONValue>, AdditionalToolArgument>;
-
-  // Function + Object configs + Zod v3 schema
-  static from<R, AdditionalToolArgument extends object = object>(
+  static from<
+    R extends z.ZodType,
+    AdditionalToolArgument extends object = object,
+  >(
     fn: (
-      // @ts-expect-error <R> should extend z3.ZodTypeAny
-      // but we remove that to fix type instantiation is excessively deep and possibly infinite
-      input: z3.infer<R>,
+      input: z.infer<R>,
       additionalArg?: AdditionalToolArgument,
     ) => JSONValue | Promise<JSONValue>,
-    schema: Omit<ToolMetadata, "parameters"> & { parameters: R },
+    schema: Omit<ToolMetadata, "parameters"> & {
+      parameters: R;
+    },
   ): FunctionTool<
-    // @ts-expect-error <R> should extend z3.ZodTypeAny
-    // but we remove that to fix type instantiation is excessively deep and possibly infinite
-    z3.infer<R>,
+    z.infer<R>,
     JSONValue | Promise<JSONValue>,
     AdditionalToolArgument
   >;
-
-  // Function + Object configs + Zod v4 schema
-  static from<R, AdditionalToolArgument extends object = object>(
+  static from<
+    T,
+    R extends z.ZodType<T>,
+    AdditionalToolArgument extends object = object,
+  >(
     fn: (
-      input: z4.infer<R>,
+      input: T,
       additionalArg?: AdditionalToolArgument,
     ) => JSONValue | Promise<JSONValue>,
-    schema: Omit<ToolMetadata, "parameters"> & { parameters: R },
-  ): FunctionTool<
-    z4.infer<R>,
-    JSONValue | Promise<JSONValue>,
-    AdditionalToolArgument
-  >;
-
-  // Object configs + Zod v3 schema
-  static from<R, AdditionalToolArgument extends object = object>(
+    schema: Omit<ToolMetadata, "parameters"> & {
+      parameters: R;
+    },
+  ): FunctionTool<T, JSONValue, AdditionalToolArgument>;
+  static from<
+    R extends z.ZodType,
+    AdditionalToolArgument extends object = object,
+  >(
     config: Omit<ToolMetadata, "parameters"> & {
       parameters: R;
       execute: (
-        // @ts-expect-error <R> should extend z3.ZodTypeAny
-        // but we remove that to fix type instantiation is excessively deep and possibly infinite
-        input: z3.infer<R>,
+        input: z.infer<R>,
         additionalArg?: AdditionalToolArgument,
       ) => JSONValue | Promise<JSONValue>;
     },
   ): FunctionTool<
-    // @ts-expect-error <R> should extend z3.ZodTypeAny
-    // but we remove that to fix type instantiation is excessively deep and possibly infinite
-    z3.infer<R>,
+    z.infer<R>,
     JSONValue | Promise<JSONValue>,
     AdditionalToolArgument
   >;
-
-  // Object configs + Zod v4 schema
-  static from<R, AdditionalToolArgument extends object = object>(
-    config: Omit<ToolMetadata, "parameters"> & {
-      parameters: R;
-      execute: (
-        input: z4.infer<R>,
-        additionalArg?: AdditionalToolArgument,
-      ) => JSONValue | Promise<JSONValue>;
-    },
-  ): FunctionTool<
-    z4.infer<R>,
-    JSONValue | Promise<JSONValue>,
-    AdditionalToolArgument
-  >;
-
-  // ----------------- IMPLEMENTATION -----------------
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
   static from(fnOrConfig: any, schema?: any): any {
+    // Handle the case where an object with execute function is passed
     if (
       typeof schema === "undefined" &&
       typeof fnOrConfig === "object" &&
@@ -124,8 +93,8 @@ export class FunctionTool<
     ) {
       const { execute, parameters, ...restConfig } = fnOrConfig;
 
-      if (isZodSchema(parameters)) {
-        const jsonSchema = zodToJsonSchema(parameters);
+      if (parameters instanceof z.ZodType) {
+        const jsonSchema = z.toJSONSchema(parameters);
         return new FunctionTool(
           execute,
           {
@@ -135,11 +104,13 @@ export class FunctionTool<
           parameters,
         );
       }
+
       return new FunctionTool(execute, fnOrConfig);
     }
 
-    if (schema && isZodSchema(schema.parameters)) {
-      const jsonSchema = zodToJsonSchema(schema.parameters);
+    // Handle the original cases
+    if (schema && schema.parameters instanceof z.ZodType) {
+      const jsonSchema = z.toJSONSchema(schema.parameters);
       return new FunctionTool(
         fnOrConfig,
         {
@@ -168,11 +139,11 @@ export class FunctionTool<
   call = (input: T) => {
     let params = input;
     if (this.#zodType) {
-      const result = safeParseSchema(this.#zodType, input);
+      const result = this.#zodType.safeParse(input);
       if (result.success) {
         params = result.data;
       } else {
-        this.#logger.warn(result.error);
+        this.#logger.warn(result.error.errors);
       }
     }
     return this.#fn.call(null, params, this.#additionalArg);

packages/core/src/zod/index.ts

@@ -1,71 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-
-import { zodToJsonSchema as zodToJsonSchemaV3 } from "@finom/zod-to-json-schema";
-import * as z from "zod";
-import * as z3 from "zod/v3";
-import * as z4 from "zod/v4/core";
-
-export type ZodSchema<T = any> = z3.ZodType<T> | z4.$ZodType<T>;
-
-export type ZodInfer<T extends ZodSchema> =
-  T extends z3.ZodType<any>
-    ? z3.infer<T>
-    : T extends z4.$ZodType<any>
-      ? z4.infer<T>
-      : never;
-
-// support parsing both Zod 3 schemas and Zod 4 schemas
-export function parseSchema<T>(schema: ZodSchema<T>, data: unknown): T {
-  if ("_zod" in schema) {
-    // Zod 4 schema
-    return z4.parse(schema as z4.$ZodType<T>, data);
-  } else {
-    // Zod 3 schema
-    return (schema as z3.ZodType<T>).parse(data);
-  }
-}
-
-// safe parse schema
-export function safeParseSchema<T>(schema: ZodSchema<T>, data: unknown) {
-  if ("_zod" in schema) {
-    // Zod 4 schema
-    return z4.safeParse(schema as z4.$ZodType<T>, data);
-  } else {
-    // Zod 3 schema
-    return (schema as z3.ZodType<T>).safeParse(data);
-  }
-}
-
-export function isZodSchema(obj: unknown): obj is ZodSchema {
-  return (
-    obj !== null &&
-    typeof obj === "object" &&
-    "parse" in obj &&
-    typeof (obj as { parse: unknown }).parse === "function" &&
-    "safeParse" in obj &&
-    typeof (obj as { safeParse: unknown }).safeParse === "function"
-  );
-}
-
-// zod 3 schema does not have _zod property
-export function isZodV3Schema(obj: unknown): obj is z3.ZodTypeAny {
-  return isZodSchema(obj) && !("_zod" in obj);
-}
-
-// zod 4 schema has _zod property
-export function isZodV4Schema(obj: unknown): obj is z4.$ZodType {
-  return isZodSchema(obj) && "_zod" in obj;
-}
-
-export function zodToJsonSchema(obj: ZodSchema) {
-  if (isZodV4Schema(obj)) {
-    // if schema is created from zod v4, use native toJSONSchema
-    return z4.toJSONSchema(obj);
-  }
-
-  // otherwise, use zod-to-json-schema
-  return zodToJsonSchemaV3(obj as any); // FIXME: use any to avoid type instantiation excessively
-}
-
-// re-export zod
-export { z, z3, z4 };

packages/core/tests/agents.test.ts

@@ -1,7 +1,7 @@
 import { LLMAgent, validateAgentParams } from "@llamaindex/core/agent";
 import { MockLLM } from "@llamaindex/core/llms/mock";
 import { expect, test } from "vitest";
-import { ZodError } from "zod/v3";
+import { ZodError } from "zod";
 
 test("validate agent params", () => {
   validateAgentParams({

packages/core/tests/package.json

@@ -7,7 +7,6 @@
   },
   "devDependencies": {
     "@llamaindex/core": "workspace:*",
-    "vitest": "^2.1.5",
-    "zod": "^4.1.5"
+    "vitest": "^2.1.5"
   }
 }

packages/core/tests/tools.test.ts

@@ -1,7 +1,6 @@
 import { FunctionTool, tool } from "@llamaindex/core/tools";
 import { describe, expect, test, vi } from "vitest";
-import { z } from "zod/v3";
-import { z as z4 } from "zod/v4";
+import * as z from "zod/v4";
 
 describe("FunctionTool", () => {
   test("type system", () => {
@@ -38,9 +37,7 @@ describe("FunctionTool", () => {
       name: "saveFile",
       description: "Save the content into a file",
       parameters: z.object({
-        content: z.string({
-          description: "The content to save into a file",
-        }),
+        content: z.string({}).describe("The content to save into a file"),
       }),
       execute: mockExecute,
     };
@@ -96,67 +93,4 @@ describe("FunctionTool", () => {
     expect(hello).to.toHaveBeenCalledOnce();
     expect(hello).to.toHaveBeenCalledWith("Bob", additionalArg);
   });
-
-  test("works with Zod v4 schema", async () => {
-    const mockFn = vi.fn().mockImplementation(({ age }: { age: number }) => {
-      return `Age is ${age}`;
-    });
-
-    const schema = z4.object({
-      age: z4.number().int().min(0),
-    });
-
-    const toolV4 = FunctionTool.from(mockFn, {
-      name: "checkAge",
-      description: "Checks age",
-      parameters: schema,
-    });
-
-    const result = await toolV4.call({ age: 25 });
-    expect(result).toBe("Age is 25");
-    expect(mockFn).toHaveBeenCalledWith({ age: 25 }, undefined);
-  });
-
-  test("validates input with safeParseSchema (valid + invalid)", async () => {
-    const mockFn = vi.fn().mockImplementation(({ num }: { num: number }) => {
-      return num * 2;
-    });
-
-    const schema = z.object({
-      num: z.number(),
-    });
-
-    const toolWithValidation = FunctionTool.from(mockFn, {
-      name: "double",
-      description: "Doubles a number",
-      parameters: schema,
-    });
-
-    // valid input
-    const result = await toolWithValidation.call({ num: 10 });
-    expect(result).toBe(20);
-
-    // invalid input (string instead of number)
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    await toolWithValidation.call({ num: "oops" } as any);
-  });
-
-  test("works with plain JSON schema", async () => {
-    const mockFn = vi.fn().mockImplementation(({ msg }: { msg: string }) => {
-      return msg.toUpperCase();
-    });
-
-    const toolWithJson = FunctionTool.from(mockFn, {
-      name: "shout",
-      description: "Shouts the message",
-      parameters: {
-        type: "object",
-        properties: { msg: { type: "string" } },
-        required: ["msg"],
-      },
-    });
-
-    const result = await toolWithJson.call({ msg: "hi" });
-    expect(result).toBe("HI");
-  });
 });

packages/core/tests/zod.test.ts

@@ -1,160 +0,0 @@
-import {
-  isZodSchema,
-  isZodV3Schema,
-  isZodV4Schema,
-  parseSchema,
-  safeParseSchema,
-  zodToJsonSchema,
-} from "@llamaindex/core/zod";
-import { describe, expect, it } from "vitest";
-import { z as z3 } from "zod/v3";
-import { z as z4 } from "zod/v4";
-
-describe("Zod schema utils", () => {
-  describe("parseSchema / safeParseSchema", () => {
-    it("parses valid data with Zod v3 schema", () => {
-      const schema = z3.object({ name: z3.string() });
-      const result = parseSchema(schema, { name: "Alice" });
-      expect(result).toEqual({ name: "Alice" });
-    });
-
-    it("parses valid data with Zod v4 schema", () => {
-      const schema = z4.object({ age: z4.number() });
-      const result = parseSchema(schema, { age: 42 });
-      expect(result).toEqual({ age: 42 });
-    });
-
-    it("safeParse works with invalid data (v3)", () => {
-      const schema = z3.object({ name: z3.string() });
-      const res = safeParseSchema(schema, { name: 123 });
-      expect(res.success).toBe(false);
-    });
-
-    it("safeParse works with invalid data (v4)", () => {
-      const schema = z4.object({ age: z4.number() });
-      const res = safeParseSchema(schema, { age: "oops" });
-      expect(res.success).toBe(false);
-    });
-  });
-
-  describe("isZodV3Schema / isZodV4Schema / isZodSchema", () => {
-    it("detects a v3 schema", () => {
-      const schema = z3.string();
-      expect(isZodV3Schema(schema)).toBe(true);
-      expect(isZodSchema(schema)).toBe(true);
-      expect(isZodV4Schema(schema)).toBe(false);
-    });
-
-    it("detects a v4 schema", () => {
-      const schema = z4.string();
-      expect(isZodV4Schema(schema)).toBe(true);
-      expect(isZodSchema(schema)).toBe(true);
-      expect(isZodV3Schema(schema)).toBe(false);
-    });
-
-    it("returns false for non-schemas", () => {
-      expect(isZodSchema(123)).toBe(false);
-      expect(isZodSchema({})).toBe(false);
-    });
-  });
-
-  describe("zodToJsonSchema", () => {
-    it("converts v3 string schema", () => {
-      const schema = z3.string().min(2).max(5).describe("A short string");
-      const json = zodToJsonSchema(schema);
-      expect(json).toMatchObject({
-        type: "string",
-        minLength: 2,
-        maxLength: 5,
-        description: "A short string",
-      });
-    });
-
-    it("converts v3 object schema", () => {
-      const schema = z3.object({
-        id: z3.number(),
-        name: z3.string().optional(),
-      });
-      const json = zodToJsonSchema(schema);
-      expect(json).toMatchObject({
-        type: "object",
-        properties: {
-          id: { type: "number" },
-          name: { type: "string" },
-        },
-        required: ["id"],
-      });
-    });
-
-    it("converts v4 array schema", () => {
-      const schema = z4.array(z4.boolean());
-      const json = zodToJsonSchema(schema);
-      expect(json).toMatchObject({
-        type: "array",
-        items: { type: "boolean" },
-      });
-    });
-
-    it("converts v4 enum schema", () => {
-      const schema = z4.enum(["red", "green", "blue"]);
-      const json = zodToJsonSchema(schema);
-      expect(json).toMatchObject({
-        type: "string",
-        enum: ["red", "green", "blue"],
-      });
-    });
-
-    it("handles nested v3 objects", () => {
-      const schema = z3.object({
-        user: z3.object({
-          id: z3.number(),
-          tags: z3.array(z3.string()),
-        }),
-      });
-      const json = zodToJsonSchema(schema);
-      expect(json).toMatchObject({
-        type: "object",
-        properties: {
-          user: {
-            type: "object",
-            properties: {
-              id: { type: "number" },
-              tags: {
-                type: "array",
-                items: { type: "string" },
-              },
-            },
-            required: ["id", "tags"],
-          },
-        },
-        required: ["user"],
-      });
-    });
-
-    it("handles nested v4 objects", () => {
-      const schema = z4.object({
-        profile: z4.object({
-          email: z4.string(),
-          active: z4.boolean(),
-        }),
-      });
-      const json = zodToJsonSchema(schema);
-      expect(json).toMatchObject({
-        type: "object",
-        properties: {
-          profile: {
-            type: "object",
-            properties: {
-              email: { type: "string" },
-              active: { type: "boolean" },
-            },
-            required: ["email", "active"],
-            additionalProperties: false,
-          },
-        },
-        required: ["profile"],
-        additionalProperties: false,
-      });
-    });
-  });
-});

packages/core/zod/package.json

@@ -1,8 +0,0 @@
-{
-  "type": "module",
-  "main": "./dist/index.cjs",
-  "module": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": "./dist/index.js",
-  "private": true
-}

packages/experimental/CHANGELOG.md

@@ -1,24 +1,5 @@
 # @llamaindex/experimental
 
-## 0.0.206
-
-### Patch Changes
-
-- Updated dependencies [8929dcf]
-  - llamaindex@0.11.29
-
-## 0.0.205
-
-### Patch Changes
-
-- llamaindex@0.11.28
-
-## 0.0.204
-
-### Patch Changes
-
-- llamaindex@0.11.27
-
 ## 0.0.203
 
 ### Patch Changes

packages/experimental/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/experimental",
   "description": "Experimental package for LlamaIndexTS",
-  "version": "0.0.206",
+  "version": "0.0.203",
   "type": "module",
   "types": "dist/type/index.d.ts",
   "main": "dist/cjs/index.js",

packages/llamaindex/CHANGELOG.md

@@ -1,33 +1,5 @@
 # llamaindex
 
-## 0.11.29
-
-### Patch Changes
-
-- 8929dcf: feat: vectorStoreIndex has new option progressCallback
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-  - @llamaindex/workflow@1.1.23
-  - @llamaindex/cloud@4.1.3
-  - @llamaindex/node-parser@2.0.21
-
-## 0.11.28
-
-### Patch Changes
-
-- Updated dependencies [1995b38]
-  - @llamaindex/workflow@1.1.22
-
-## 0.11.27
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-  - @llamaindex/cloud@4.1.2
-  - @llamaindex/node-parser@2.0.20
-  - @llamaindex/workflow@1.1.21
-
 ## 0.11.26
 
 ### Patch Changes

packages/llamaindex/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llamaindex",
-  "version": "0.11.29",
+  "version": "0.11.26",
   "license": "MIT",
   "type": "module",
   "keywords": [

packages/llamaindex/src/indices/vectorStore/index.ts

@@ -54,7 +54,6 @@ export interface VectorIndexOptions extends IndexStructOptions {
   storageContext?: StorageContext | undefined;
   vectorStores?: VectorStoreByType | undefined;
   logProgress?: boolean | undefined;
-  progressCallback?: ((progress: number, total: number) => void) | undefined;
 }
 
 export interface VectorIndexConstructorProps extends BaseIndexInit<IndexDict> {
@@ -122,7 +121,6 @@ export class VectorStoreIndex extends BaseIndex<IndexDict> {
       // If nodes are passed in, then we need to update the index
       await index.buildIndexFromNodes(options.nodes, {
         logProgress: options.logProgress,
-        progressCallback: options.progressCallback,
       });
     }
     return index;
@@ -172,12 +170,7 @@ export class VectorStoreIndex extends BaseIndex<IndexDict> {
    */
   async getNodeEmbeddingResults(
     nodes: BaseNode[],
-    options?: {
-      logProgress?: boolean | undefined;
-      progressCallback?:
-        | ((progress: number, total: number) => void)
-        | undefined;
-    },
+    options?: { logProgress?: boolean | undefined },
   ): Promise<BaseNode[]> {
     const nodeMap = splitNodesByType(nodes);
     for (const type in nodeMap) {
@@ -187,7 +180,6 @@ export class VectorStoreIndex extends BaseIndex<IndexDict> {
       if (embedModel && nodes) {
         await embedModel(nodes, {
           logProgress: options?.logProgress,
-          progressCallback: options?.progressCallback,
         });
       }
     }
@@ -201,12 +193,7 @@ export class VectorStoreIndex extends BaseIndex<IndexDict> {
    */
   async buildIndexFromNodes(
     nodes: BaseNode[],
-    options?: {
-      logProgress?: boolean | undefined;
-      progressCallback?:
-        | ((progress: number, total: number) => void)
-        | undefined;
-    },
+    options?: { logProgress?: boolean | undefined },
   ) {
     await this.insertNodes(nodes, options);
   }
@@ -374,12 +361,7 @@ export class VectorStoreIndex extends BaseIndex<IndexDict> {
 
   async insertNodes(
     nodes: BaseNode[],
-    options?: {
-      logProgress?: boolean | undefined;
-      progressCallback?:
-        | ((progress: number, total: number) => void)
-        | undefined;
-    },
+    options?: { logProgress?: boolean | undefined },
   ): Promise<void> {
     if (!nodes || nodes.length === 0) {
       return;

packages/llamaindex/tests/CHANGELOG.md

@@ -1,27 +1,5 @@
 # @llamaindex/core-test
 
-## 0.1.20
-
-### Patch Changes
-
-- 8929dcf: feat: vectorStoreIndex has new option progressCallback
-- Updated dependencies [5da1cda]
-  - @llamaindex/openai@0.4.19
-
-## 0.1.19
-
-### Patch Changes
-
-- Updated dependencies [001a515]
-- Updated dependencies [9d7d205]
-  - @llamaindex/openai@0.4.18
-
-## 0.1.18
-
-### Patch Changes
-
-- @llamaindex/openai@0.4.17
-
 ## 0.1.17
 
 ### Patch Changes

packages/llamaindex/tests/indices/VectorStoreIndex.test.ts

@@ -89,42 +89,4 @@ describe("[VectorStoreIndex] use embedding model", () => {
     expect(customSpy).toHaveBeenCalled();
     expect(settingsSpy).not.toHaveBeenCalled();
   });
-
-  describe("[VectorStoreIndex] call progressCallback", () => {
-    it("should call progressCallback with correct values", async () => {
-      const documents = Array.from(
-        { length: 20 },
-        (_, i) => new Document({ text: `This is document ${i + 1}` }),
-      );
-
-      const progressCalls: Array<{ current: number; total: number }> = [];
-      const progressCallback = (current: number, total: number) => {
-        progressCalls.push({ current, total });
-      };
-
-      const embedModel = new OpenAIEmbedding();
-      mockEmbeddingModel(embedModel);
-      const embedSpy = vi.spyOn(embedModel, "getTextEmbeddingsBatch");
-
-      Settings.embedModel = embedModel;
-      const storageContext = await mockStorageContext(testDir, embedModel);
-
-      await VectorStoreIndex.fromDocuments(documents, {
-        storageContext,
-        logProgress: true,
-        progressCallback,
-      });
-
-      // Expect the embedding model to be called
-      expect(embedSpy).toHaveBeenCalled();
-
-      // Verify that progressCallback was called with correct values
-      expect(progressCalls.length).toBeGreaterThan(0);
-      expect(progressCalls[0]).toEqual({ current: 10, total: 20 });
-      expect(progressCalls[progressCalls.length - 1]).toEqual({
-        current: 20,
-        total: 20,
-      });
-    });
-  });
 });

packages/llamaindex/tests/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/llamaindex-test",
   "private": true,
-  "version": "0.1.20",
+  "version": "0.1.17",
   "type": "module",
   "scripts": {
     "test": "vitest run"

packages/node-parser/CHANGELOG.md

@@ -1,19 +1,5 @@
 # @llamaindex/node-parser
 
-## 2.0.21
-
-### Patch Changes
-
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 2.0.20
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
 ## 2.0.19
 
 ### Patch Changes

packages/node-parser/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/node-parser",
-  "version": "2.0.21",
+  "version": "2.0.19",
   "description": "Node parser for LlamaIndex",
   "type": "module",
   "exports": {

packages/providers/anthropic/CHANGELOG.md

@@ -1,20 +1,5 @@
 # @llamaindex/anthropic
 
-## 0.3.24
-
-### Patch Changes
-
-- 5d5cd44: fix: anthropic temperature parameter not respecting value 0
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 0.3.23
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
 ## 0.3.22
 
 ### Patch Changes

packages/providers/anthropic/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/anthropic",
   "description": "Anthropic Adapter for LlamaIndex",
-  "version": "0.3.24",
+  "version": "0.3.22",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/anthropic/src/llm.ts

@@ -179,7 +179,7 @@ export class Anthropic extends ToolCallLLM<
   constructor(init?: Partial<Anthropic>) {
     super();
     this.model = init?.model ?? "claude-3-opus";
-    this.temperature = init?.temperature != null ? init.temperature : 1; // default in anthropic is 1
+    this.temperature = init?.temperature ?? 1; // default in anthropic is 1
     this.topP = init?.topP;
     this.maxTokens = init?.maxTokens ?? undefined;
 

packages/providers/assemblyai/CHANGELOG.md

@@ -1,19 +1,5 @@
 # @llamaindex/assemblyai
 
-## 0.1.20
-
-### Patch Changes
-
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 0.1.19
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
 ## 0.1.18
 
 ### Patch Changes

packages/providers/assemblyai/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/assemblyai",
   "description": "AssemblyAI Reader for LlamaIndex",
-  "version": "0.1.20",
+  "version": "0.1.18",
   "type": "module",
   "types": "dist/index.d.ts",
   "main": "dist/index.cjs",

packages/providers/aws/CHANGELOG.md

@@ -1,20 +1,5 @@
 # @llamaindex/community
 
-## 0.0.117
-
-### Patch Changes
-
-- ed37c64: Addition of APAC_ANTHROPIC_CLAUDE_4_SONNET type/record in @llamaindex/aws for APAC support for claude 4 sonnet per issue 2184.
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 0.0.116
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
 ## 0.0.115
 
 ### Patch Changes

packages/providers/aws/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/aws",
   "description": "AWS package for LlamaIndexTS",
-  "version": "0.0.117",
+  "version": "0.0.115",
   "type": "module",
   "types": "dist/type/index.d.ts",
   "main": "dist/cjs/index.js",

packages/providers/aws/src/llm/bedrock/index.ts

@@ -134,14 +134,13 @@ export const INFERENCE_BEDROCK_MODELS = {
   EU_AMAZON_NOVA_PRO_1: "eu.amazon.nova-pro-v1:0",
   EU_AMAZON_NOVA_LITE_1: "eu.amazon.nova-lite-v1:0",
   EU_AMAZON_NOVA_MICRO_1: "eu.amazon.nova-micro-v1:0",
+
   APAC_ANTHROPIC_CLAUDE_3_5_SONNET:
     "apac.anthropic.claude-3-5-sonnet-20240620-v1:0",
   APAC_ANTHROPIC_CLAUDE_3_5_SONNET_V2:
     "apac.anthropic.claude-3-5-sonnet-20241022-v2:0",
   APAC_ANTHROPIC_CLAUDE_3_7_SONNET:
     "apac.anthropic.claude-3-7-sonnet-20250219-v1:0",
-  APAC_ANTHROPIC_CLAUDE_4_SONNET:
-    "apac.anthropic.claude-sonnet-4-20250514-v1:0q",
   APAC_ANTHROPIC_CLAUDE_3_HAIKU: "apac.anthropic.claude-3-haiku-20240307-v1:0",
   APAC_ANTHROPIC_CLAUDE_3_SONNET:
     "apac.anthropic.claude-3-sonnet-20240229-v1:0",
@@ -227,8 +226,6 @@ export const INFERENCE_TO_BEDROCK_MAP: Record<
     BEDROCK_MODELS.ANTHROPIC_CLAUDE_3_5_SONNET_V2,
   [INFERENCE_BEDROCK_MODELS.APAC_ANTHROPIC_CLAUDE_3_7_SONNET]:
     BEDROCK_MODELS.ANTHROPIC_CLAUDE_3_7_SONNET,
-  [INFERENCE_BEDROCK_MODELS.APAC_ANTHROPIC_CLAUDE_4_SONNET]:
-    BEDROCK_MODELS.ANTHROPIC_CLAUDE_4_SONNET,
   [INFERENCE_BEDROCK_MODELS.APAC_ANTHROPIC_CLAUDE_3_HAIKU]:
     BEDROCK_MODELS.ANTHROPIC_CLAUDE_3_HAIKU,
   [INFERENCE_BEDROCK_MODELS.APAC_ANTHROPIC_CLAUDE_3_SONNET]:
@@ -549,8 +546,6 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
 
     if (params.stream) {
       const command = new InvokeModelWithResponseStreamCommand(input);
-      command.input.modelId = this.actualModel;
-
       const response = await this.client.send(command);
       if (response.body)
         return streamConverter(response.body, (response) => {
@@ -562,8 +557,6 @@ export class Bedrock extends ToolCallLLM<BedrockAdditionalChatOptions> {
     }
 
     const command = new InvokeModelCommand(input);
-    command.input.modelId = this.actualModel;
-
     const response = await this.client.send(command);
     return {
       text: this.provider.getTextFromResponse(response),

packages/providers/clip/CHANGELOG.md

@@ -1,29 +1,5 @@
 # @llamaindex/clip
 
-## 0.0.75
-
-### Patch Changes
-
-- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-  - @llamaindex/openai@0.4.19
-
-## 0.0.74
-
-### Patch Changes
-
-- Updated dependencies [001a515]
-- Updated dependencies [9d7d205]
-  - @llamaindex/openai@0.4.18
-
-## 0.0.73
-
-### Patch Changes
-
-- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-  - @llamaindex/openai@0.4.17
-
 ## 0.0.72
 
 ### Patch Changes

packages/providers/clip/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/clip",
   "description": "Clip Embedding Adapter for LlamaIndex",
-  "version": "0.0.75",
+  "version": "0.0.72",
   "type": "module",
   "types": "dist/index.d.ts",
   "main": "dist/index.cjs",