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ai-sdk/docs: V5 Migration Docs (#3277)

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This commit is contained in:
Saket Aryan
2025-08-05 22:19:45 +05:30
committed by GitHub
parent 0e18f54d36
commit 7fac6311f4
2 changed files with 13 additions and 12 deletions
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docs/changelog.mdx
+5
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@@ -992,6 +992,11 @@ mode: "wide"
<Tab title="Vercel AI SDK">
<Update label="2025-08-05" description="v2.0.0">
**New Features:**
- **Vercel AI SDK:** Migration to AI SDK V5.
</Update>
<Update label="2025-06-15" description="v1.0.6">
**New Features:**
- **Vercel AI SDK:** Added param `filter_memories`.
docs/integrations/vercel-ai-sdk.mdx
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@@ -7,7 +7,7 @@ title: Vercel AI SDK
The [**Mem0 AI SDK Provider**](https://www.npmjs.com/package/@mem0/vercel-ai-provider) is a library developed by **Mem0** to integrate with the Vercel AI SDK. This library brings enhanced AI interaction capabilities to your applications by introducing persistent memory functionality.
<Note type="info">
🎉 Exciting news! Mem0 AI SDK now supports <strong>Graph Memory</strong>.
🎉 Exciting news! Mem0 AI SDK now supports <strong>Vercel AI SDK V5</strong>.
</Note>
## Overview
@@ -42,13 +42,11 @@ npm install @mem0/vercel-ai-provider
mem0ApiKey: "m0-xxx",
apiKey: "provider-api-key",
config: {
compatibility: "strict",
// Options for LLM Provider
},
// Optional Mem0 Global Config
mem0Config: {
user_id: "mem0-user-id",
org_id: "mem0-org-id",
project_id: "mem0-project-id",
},
});
```
@@ -60,10 +58,10 @@ npm install @mem0/vercel-ai-provider
3. Add Memories to Enhance Context:
```typescript
import { LanguageModelV1Prompt } from "ai";
import { LanguageModelV2Prompt } from "@ai-sdk/provider";
import { addMemories } from "@mem0/vercel-ai-provider";
const messages: LanguageModelV1Prompt = [
const messages: LanguageModelV2Prompt = [
{ role: "user", content: [{ type: "text", text: "I love red cars." }] },
];
@@ -73,9 +71,9 @@ npm install @mem0/vercel-ai-provider
### Standalone Features:
```typescript
await addMemories(messages, { user_id: "borat", mem0ApiKey: "m0-xxx", org_id: "org_xx", project_id: "proj_xx" });
await retrieveMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx", org_id: "org_xx", project_id: "proj_xx" });
await getMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx", org_id: "org_xx", project_id: "proj_xx" });
await addMemories(messages, { user_id: "borat", mem0ApiKey: "m0-xxx" });
await retrieveMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
await getMemories(prompt, { user_id: "borat", mem0ApiKey: "m0-xxx" });
```
> For standalone features, such as `addMemories`, `retrieveMemories`, and `getMemories`, you must either set `MEM0_API_KEY` as an environment variable or pass it directly in the function call.
@@ -144,7 +142,7 @@ npm install @mem0/vercel-ai-provider
const mem0 = createMem0();
const { textStream } = await streamText({
const { textStream } = streamText({
model: mem0("gpt-4-turbo", {
user_id: "borat",
}),
@@ -231,9 +229,7 @@ The `getMemories` function will return an object with two keys: `results` and `r
|----------|-------------------|
| OpenAI | openai |
| Anthropic | anthropic |
| Gemini | gemini |
| Google | google |
| Mistral | mistral |
| Groq | groq |
> **Note**: You can use `google` as provider for Gemini (Google) models. They are same and internally they use `@ai-sdk/google` package.