Repository: drivly/ai
Pull request #465: feat: implement AI SDK provider for llm.do
Author: login: devin-ai-integration[bot]
Created: 2025-03-30T09:46:57Z | Merged: 2025-03-30T10:26:53Z

Implements the AI SDK provider for llm.do as specified in issue #464.

- Added provider.ts with LanguageModelV1 implementation
- Updated index.ts to export the provider
- Added @ai-sdk/provider dependency
- Supports both stream and generate of text and objects
- Default baseURL set to https://llm.do
- Added embedding models support with EmbeddingModelV1 implementation
- Updated to use apis.do for API client functionality
- Added comprehensive README documentation for AI SDK provider usage
- Updated package.json with keywords and description for publishing
- Updated README examples to use llm() instead of llmDoProvider.languageModel()
- Updated schema examples to use Zod instead of JSON Schema
- Updated embedding example to use llm.embed() following SDK conventions
- Added changeset for version management

Link to Devin run: https://app.devin.ai/sessions/7dd136f90b1a4598aabe079a4903823f
Requested by: Nathan Clevenger (nateclev@gmail.com)


Diff:
diff --git a/.changeset/icy-socks-lead.md b/.changeset/icy-socks-lead.md
new file mode 100644
index 000000000..8b8492279
--- /dev/null
+++ b/.changeset/icy-socks-lead.md
@@ -0,0 +1,5 @@
+---
+'llm-do': patch
+---
+
+Add Vercel AI SDK provider with embedding model support and update documentation examples
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 725bdb3b1..add8a4bf6 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -497,6 +497,12 @@ importers:
         specifier: workspace:*
         version: link:../apis.do
     devDependencies:
+      '@ai-sdk/provider':
+        specifier: ^1.0.2
+        version: 1.1.0
+      models.do:
+        specifier: workspace:^0.0.1
+        version: link:../models.do
       vitest:
         specifier: ^3.0.8
         version: 3.0.9(@types/debug@4.1.12)(@types/node@22.13.14)(jsdom@26.0.0)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0)
@@ -14101,6 +14107,14 @@ snapshots:
     optionalDependencies:
       vite: 6.2.3(@types/node@22.13.13)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0)
 
+  '@vitest/mocker@3.0.9(vite@6.2.3(@types/node@22.13.14)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0))':
+    dependencies:
+      '@vitest/spy': 3.0.9
+      estree-walker: 3.0.3
+      magic-string: 0.30.17
+    optionalDependencies:
+      vite: 6.2.3(@types/node@22.13.14)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0)
+
   '@vitest/pretty-format@2.1.9':
     dependencies:
       tinyrainbow: 1.2.0
@@ -16229,7 +16243,7 @@ snapshots:
       '@typescript-eslint/parser': 8.28.0(eslint@9.23.0)(typescript@5.7.3)
       eslint: 9.23.0
       eslint-import-resolver-node: 0.3.9
-      eslint-import-resolver-typescript: 3.9.1(eslint-plugin-import@2.31.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint@9.23.0))(eslint@9.23.0)
+      eslint-import-resolver-typescript: 3.9.1(eslint-plugin-import@2.31.0)(eslint@9.23.0)
       eslint-plugin-import: 2.31.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint-import-resolver-typescript@3.9.1)(eslint@9.23.0)
       eslint-plugin-jsx-a11y: 6.10.2(eslint@9.23.0)
       eslint-plugin-react: 7.37.4(eslint@9.23.0)
@@ -16249,7 +16263,7 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  eslint-import-resolver-typescript@3.9.1(eslint-plugin-import@2.31.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint@9.23.0))(eslint@9.23.0):
+  eslint-import-resolver-typescript@3.9.1(eslint-plugin-import@2.31.0)(eslint@9.23.0):
     dependencies:
       '@nolyfill/is-core-module': 1.0.39
       debug: 4.4.0
@@ -16264,14 +16278,14 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  eslint-module-utils@2.12.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.9.1(eslint-plugin-import@2.31.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint@9.23.0))(eslint@9.23.0))(eslint@9.23.0):
+  eslint-module-utils@2.12.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.9.1)(eslint@9.23.0):
     dependencies:
       debug: 3.2.7
     optionalDependencies:
       '@typescript-eslint/parser': 8.28.0(eslint@9.23.0)(typescript@5.7.3)
       eslint: 9.23.0
       eslint-import-resolver-node: 0.3.9
-      eslint-import-resolver-typescript: 3.9.1(eslint-plugin-import@2.31.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint@9.23.0))(eslint@9.23.0)
+      eslint-import-resolver-typescript: 3.9.1(eslint-plugin-import@2.31.0)(eslint@9.23.0)
     transitivePeerDependencies:
       - supports-color
 
@@ -16286,7 +16300,7 @@ snapshots:
       doctrine: 2.1.0
       eslint: 9.23.0
       eslint-import-resolver-node: 0.3.9
-      eslint-module-utils: 2.12.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.9.1(eslint-plugin-import@2.31.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint@9.23.0))(eslint@9.23.0))(eslint@9.23.0)
+      eslint-module-utils: 2.12.0(@typescript-eslint/parser@8.28.0(eslint@9.23.0)(typescript@5.7.3))(eslint-import-resolver-node@0.3.9)(eslint-import-resolver-typescript@3.9.1)(eslint@9.23.0)
       hasown: 2.0.2
       is-core-module: 2.16.1
       is-glob: 4.0.3
@@ -22193,7 +22207,7 @@ snapshots:
   vitest@3.0.9(@types/debug@4.1.12)(@types/node@22.13.14)(jsdom@26.0.0)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0):
     dependencies:
       '@vitest/expect': 3.0.9
-      '@vitest/mocker': 3.0.9(vite@6.2.3(@types/node@22.13.13)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0))
+      '@vitest/mocker': 3.0.9(vite@6.2.3(@types/node@22.13.14)(sass@1.77.4)(terser@5.39.0)(tsx@4.19.3)(yaml@2.7.0))
       '@vitest/pretty-format': 3.0.9
       '@vitest/runner': 3.0.9
       '@vitest/snapshot': 3.0.9
diff --git a/sdks/llm.do/README.md b/sdks/llm.do/README.md
index 9ab1a771d..ddd804fac 100644
--- a/sdks/llm.do/README.md
+++ b/sdks/llm.do/README.md
@@ -72,6 +72,60 @@ for await (const chunk of stream) {
 }
 ```
 
+## Vercel AI SDK Integration
+
+LLM.do provides a Vercel AI SDK provider for seamless integration with the Vercel AI SDK:
+
+```typescript
+import { llm } from 'llm.do'
+import { generateText, generateObject, generateEmbeddings } from 'ai'
+import { z } from 'zod'
+
+// Generate text using the llm.do provider
+const text = await generateText({
+  model: llm('gemini-2.0-flash'),
+  prompt: 'Explain the theory of relativity in simple terms',
+})
+
+// Generate structured JSON output with Zod schema
+const bookSchema = z.object({
+  books: z.array(
+    z.object({
+      title: z.string(),
+      author: z.string(),
+      genre: z.string(),
+      description: z.string()
+    })
+  )
+})
+
+const jsonOutput = await generateObject({
+  model: llm('gemini-2.0-flash'),
+  prompt: 'Generate a list of 5 book recommendations',
+  schema: bookSchema
+})
+
+// Generate embeddings
+const embeddings = await generateEmbeddings({
+  model: llm.embed('text-embedding-3-small'),
+  input: ['Embed this text for semantic search', 'And this one too'],
+})
+```
+
+### Custom Provider Configuration
+
+You can customize the llm.do provider with your own configuration:
+
+```typescript
+import { createLLMDoProvider } from 'llm.do'
+
+const customProvider = createLLMDoProvider({
+  apiKey: 'your-api-key',
+  baseUrl: 'https://your-custom-endpoint.com',
+  defaultModel: 'custom-model-name',
+})
+```
+
 ## Core Concepts
 
 ### Model Selection
@@ -165,6 +219,11 @@ console.log(`Current daily usage: $${usage.daily.cost}`)
 - `llm.estimateCost(options)`: Estimate the cost of a request
 - `llm.getUsageStats()`: Get usage statistics
 
+### Vercel AI SDK Provider Functions
+
+- `llm(modelId)`: Get a language model instance
+- `createLLMDoProvider(options)`: Create a custom provider instance
+
 ### Configuration Options
 
 - `providers`: LLM providers to use
diff --git a/sdks/llm.do/package.json b/sdks/llm.do/package.json
index 18af8731b..b801bf842 100644
--- a/sdks/llm.do/package.json
+++ b/sdks/llm.do/package.json
@@ -1,7 +1,7 @@
 {
   "name": "llm.do",
   "version": "0.0.1",
-  "description": "Intelligent AI Gateway for routing requests to optimal language models",
+  "description": "Intelligent AI Gateway for routing requests to optimal language models with Vercel AI SDK provider support",
   "keywords": [
     "llm",
     "ai",
@@ -9,7 +9,10 @@
     "gateway",
     "router",
     "model-selection",
-    "multi-model"
+    "multi-model",
+    "vercel-ai-sdk",
+    "ai-sdk-provider",
+    "embeddings"
   ],
   "homepage": "https://llm.do",
   "type": "module",
@@ -30,6 +33,8 @@
     "test": "echo \"No tests\" && exit 0"
   },
   "devDependencies": {
+    "@ai-sdk/provider": "^1.0.2",
+    "models.do": "workspace:^0.0.1",
     "vitest": "^3.0.8"
   },
   "dependencies": {
diff --git a/sdks/llm.do/src/api-client.ts b/sdks/llm.do/src/api-client.ts
deleted file mode 100644
index 0e001071a..000000000
--- a/sdks/llm.do/src/api-client.ts
+++ /dev/null
@@ -1,133 +0,0 @@
-export interface ClientOptions {
-  baseUrl?: string
-  apiKey?: string
-  headers?: Record<string, string>
-}
-
-export interface ErrorResponse {
-  errors?: Array<{
-    message: string
-    code?: string
-    path?: string
-  }>
-}
-
-export interface ListResponse<T> {
-  data: T[]
-  meta?: {
-    total?: number
-    page?: number
-    pageSize?: number
-    hasNextPage?: boolean
-  }
-}
-
-export interface QueryParams {
-  [key: string]: any
-  limit?: number
-  page?: number
-  sort?: string | string[]
-  where?: Record<string, any>
-}
-
-export class ApiClient {
-  private baseUrl: string
-  private headers: Record<string, string>
-
-  constructor(options: ClientOptions = {}) {
-    this.baseUrl = options.baseUrl || 'https://apis.do'
-    this.headers = {
-      'Content-Type': 'application/json',
-      ...options.headers,
-    }
-
-    if (options.apiKey) {
-      this.headers['Authorization'] = `Bearer ${options.apiKey}`
-    }
-  }
-
-  private async request<T>(method: string, path: string, data?: any, params?: QueryParams): Promise<T> {
-    const url = new URL(path, this.baseUrl)
-
-    if (params) {
-      Object.entries(params).forEach(([key, value]) => {
-        if (value !== undefined) {
-          if (key === 'where' && typeof value === 'object') {
-            url.searchParams.append(key, JSON.stringify(value))
-          } else {
-            url.searchParams.append(key, String(value))
-          }
-        }
-      })
-    }
-
-    const options: RequestInit = {
-      method,
-      headers: this.headers,
-    }
-
-    if (data) {
-      options.body = JSON.stringify(data)
-    }
-
-    const response = await fetch(url.toString(), options)
-    const responseData = await response.json()
-
-    if (!response.ok) {
-      throw new Error((responseData as ErrorResponse).errors?.[0]?.message || `API request failed with status ${response.status}`)
-    }
-
-    return responseData as T
-  }
-
-  async get<T>(path: string, params?: QueryParams): Promise<T> {
-    return this.request<T>('GET', path, undefined, params)
-  }
-
-  async post<T>(path: string, data: any): Promise<T> {
-    return this.request<T>('POST', path, data)
-  }
-
-  async put<T>(path: string, data: any): Promise<T> {
-    return this.request<T>('PUT', path, data)
-  }
-
-  async patch<T>(path: string, data: any): Promise<T> {
-    return this.request<T>('PATCH', path, data)
-  }
-
-  async delete<T>(path: string): Promise<T> {
-    return this.request<T>('DELETE', path)
-  }
-
-  async list<T>(collection: string, params?: QueryParams): Promise<ListResponse<T>> {
-    return this.get<ListResponse<T>>(`/api/${collection}`, params)
-  }
-
-  async getById<T>(collection: string, id: string): Promise<T> {
-    return this.get<T>(`/api/${collection}/${id}`)
-  }
-
-  async create<T>(collection: string, data: Partial<T>): Promise<T> {
-    return this.post<T>(`/api/${collection}`, data)
-  }
-
-  async update<T>(collection: string, id: string, data: Partial<T>): Promise<T> {
-    return this.patch<T>(`/api/${collection}/${id}`, data)
-  }
-
-  async replace<T>(collection: string, id: string, data: T): Promise<T> {
-    return this.put<T>(`/api/${collection}/${id}`, data)
-  }
-
-  async remove<T>(collection: string, id: string): Promise<T> {
-    return this.delete<T>(`/api/${collection}/${id}`)
-  }
-
-  async search<T>(collection: string, query: string, params?: QueryParams): Promise<ListResponse<T>> {
-    return this.get<ListResponse<T>>(`/api/${collection}/search`, {
-      ...params,
-      q: query,
-    })
-  }
-}
diff --git a/sdks/llm.do/src/index.ts b/sdks/llm.do/src/index.ts
index f0364330a..01f33cdce 100644
--- a/sdks/llm.do/src/index.ts
+++ b/sdks/llm.do/src/index.ts
@@ -1,4 +1,5 @@
-import { ApiClient } from './api-client'
+import { ApiClient } from 'apis.do'
+import { createLLMDoProvider, llmDoProvider } from './provider'
 
 export interface CompletionOptions {
   model?: string
@@ -70,10 +71,7 @@ export class LLMClient {
   async stream(prompt: string, options: CompletionOptions = {}): Promise<ReadableStream<any>> {
     const response = await fetch(`${this.api['baseUrl']}/api/llm/completions/stream`, {
       method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...(options.apiKey ? { Authorization: `Bearer ${options.apiKey}` } : {}),
-      },
+      headers: this.api['headers'],
       body: JSON.stringify({
         prompt,
         ...options,
@@ -90,10 +88,7 @@ export class LLMClient {
   async chatStream(messages: ChatMessage[], options: CompletionOptions = {}): Promise<ReadableStream<any>> {
     const response = await fetch(`${this.api['baseUrl']}/api/llm/chat/stream`, {
       method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-        ...(options.apiKey ? { Authorization: `Bearer ${options.apiKey}` } : {}),
-      },
+      headers: this.api['headers'],
       body: JSON.stringify({
         messages,
         ...options,
@@ -108,4 +103,6 @@ export class LLMClient {
   }
 }
 
+export { createLLMDoProvider, llmDoProvider }
+
 export default LLMClient
diff --git a/sdks/llm.do/src/provider.ts b/sdks/llm.do/src/provider.ts
new file mode 100644
index 000000000..e886b563a
--- /dev/null
+++ b/sdks/llm.do/src/provider.ts
@@ -0,0 +1,339 @@
+import { 
+  LanguageModelV1, 
+  LanguageModelV1CallOptions, 
+  LanguageModelV1Prompt, 
+  LanguageModelV1StreamPart,
+  ProviderV1,
+  JSONSchema7,
+  LanguageModelV1ObjectGenerationMode,
+  EmbeddingModelV1,
+  EmbeddingModelV1Embedding
+} from '@ai-sdk/provider'
+import { LLMClient, ChatMessage, CompletionOptions } from './index'
+import type { ModelCapability } from 'models.do'
+import { ApiClient } from 'apis.do'
+
+export interface LLMDoProviderOptions {
+  apiKey?: string
+  baseUrl?: string
+  defaultModel?: string
+}
+
+export type LLMDoModel = string
+
+class LLMDoEmbeddingModel implements EmbeddingModelV1<string> {
+  readonly specificationVersion = 'v1'
+  readonly provider = 'llm.do'
+  readonly modelId: string
+  readonly maxEmbeddingsPerCall = 1024
+  readonly supportsParallelCalls = true
+
+  private api: ApiClient
+
+  constructor(modelId: string, apiKey?: string, baseUrl?: string) {
+    this.modelId = modelId
+    this.api = new ApiClient({
+      baseUrl: baseUrl || 'https://llm.do',
+      headers: {
+        'Content-Type': 'application/json',
+        ...(apiKey ? { Authorization: `Bearer ${apiKey}` } : {}),
+      },
+    })
+  }
+
+  async doEmbed(options: {
+    values: Array<string>;
+    abortSignal?: AbortSignal;
+    headers?: Record<string, string | undefined>;
+  }): Promise<{
+    embeddings: Array<EmbeddingModelV1Embedding>;
+    usage?: {
+      tokens: number;
+    };
+    rawResponse?: {
+      headers?: Record<string, string>;
+    };
+  }> {
+    const response = await this.api.post('/api/llm/embeddings', {
+      texts: options.values,
+      model: this.modelId,
+    }) as { 
+      data: EmbeddingModelV1Embedding[]; 
+      usage: { tokens: number }; 
+      headers: Record<string, string>;
+    }
+
+    return {
+      embeddings: response.data,
+      usage: {
+        tokens: response.usage?.tokens || 0,
+      },
+      rawResponse: {
+        headers: response.headers,
+      },
+    }
+  }
+}
+
+class LLMDoLanguageModel implements LanguageModelV1 {
+  readonly specificationVersion = 'v1'
+  readonly provider = 'llm.do'
+  readonly modelId: string
+  readonly defaultObjectGenerationMode: LanguageModelV1ObjectGenerationMode = 'json'
+  readonly supportsImageUrls = false
+  readonly supportsStructuredOutputs = true
+
+  private client: LLMClient
+  
+  constructor(modelId: string, client: LLMClient) {
+    this.modelId = modelId
+    this.client = client
+  }
+
+  async doGenerate(options: LanguageModelV1CallOptions): Promise<{
+    text?: string;
+    reasoning?: string | Array<{
+      type: 'text';
+      text: string;
+      signature?: string;
+    } | {
+      type: 'redacted';
+      data: string;
+    }>;
+    files?: Array<{
+      data: string | Uint8Array;
+      mimeType: string;
+    }>;
+    toolCalls?: Array<any>;
+    finishReason: 'stop' | 'length' | 'content-filter' | 'tool-calls' | 'error' | 'other' | 'unknown';
+    usage: {
+      promptTokens: number;
+      completionTokens: number;
+      totalTokens?: number;
+    };
+    rawCall: {
+      rawPrompt: unknown;
+      rawSettings: Record<string, unknown>;
+    };
+    rawResponse?: {
+      headers?: Record<string, string>;
+      body?: unknown;
+    };
+    request?: {
+      body?: string;
+    };
+    response?: {
+      id?: string;
+      timestamp?: Date;
+      modelId?: string;
+    };
+    warnings?: Array<any>;
+    providerMetadata?: Record<string, any>;
+    sources?: Array<any>;
+    logprobs?: any;
+  }> {
+    const { prompt, temperature, maxTokens, stopSequences, mode } = options
+    
+    const llmOptions: CompletionOptions = {
+      model: this.modelId,
+      temperature,
+      maxTokens,
+      stop: stopSequences,
+    }
+
+    if (mode.type === 'object-json' && mode.schema) {
+      llmOptions.responseFormat = { 
+        type: 'json_object', 
+        schema: mode.schema 
+      }
+    }
+
+    const llmMessages = this.convertPromptToMessages(prompt)
+
+    if (mode.type === 'object-json' && !llmMessages.some(msg => msg.role === 'system')) {
+      llmMessages.unshift({
+        role: 'system',
+        content: 'You are a helpful assistant that responds with valid JSON according to the specified schema.',
+      })
+    }
+
+    const response = await this.client.chat(llmMessages, llmOptions)
+    
+    let text = response.message.content
+
+    return {
+      text,
+      finishReason: 'stop',
+      usage: {
+        promptTokens: response.usage.promptTokens,
+        completionTokens: response.usage.completionTokens,
+        totalTokens: response.usage.totalTokens,
+      },
+      rawCall: {
+        rawPrompt: llmMessages,
+        rawSettings: llmOptions,
+      },
+      response: {
+        id: response.id,
+        modelId: this.modelId,
+        timestamp: new Date(),
+      }
+    }
+  }
+
+  async doStream(options: LanguageModelV1CallOptions): Promise<{
+    stream: ReadableStream<LanguageModelV1StreamPart>;
+    rawCall: {
+      rawPrompt: unknown;
+      rawSettings: Record<string, unknown>;
+    };
+    rawResponse?: {
+      headers?: Record<string, string>;
+    };
+    request?: {
+      body?: string;
+    };
+    warnings?: Array<any>;
+  }> {
+    const { prompt, temperature, maxTokens, stopSequences, mode } = options
+    
+    const llmOptions: CompletionOptions = {
+      model: this.modelId,
+      temperature,
+      maxTokens,
+      stop: stopSequences,
+    }
+
+    if (mode.type === 'object-json' && mode.schema) {
+      llmOptions.responseFormat = { 
+        type: 'json_object', 
+        schema: mode.schema 
+      }
+    }
+
+    const llmMessages = this.convertPromptToMessages(prompt)
+
+    if (mode.type === 'object-json' && !llmMessages.some(msg => msg.role === 'system')) {
+      llmMessages.unshift({
+        role: 'system',
+        content: 'You are a helpful assistant that responds with valid JSON according to the specified schema.',
+      })
+    }
+
+    const stream = await this.client.chatStream(llmMessages, llmOptions)
+    
+    const transformer = new TransformStream<Uint8Array, LanguageModelV1StreamPart>({
+      async transform(chunk, controller) {
+        try {
+          const text = new TextDecoder().decode(chunk)
+          const lines = text.split('\n').filter(line => line.trim() !== '')
+          
+          for (const line of lines) {
+            if (line.startsWith('data: ')) {
+              const data = line.slice(6)
+              if (data === '[DONE]') {
+                controller.enqueue({
+                  type: 'finish',
+                  finishReason: 'stop',
+                  usage: {
+                    promptTokens: 0,
+                    completionTokens: 0,
+                  }
+                })
+                return
+              }
+              
+              try {
+                const parsed = JSON.parse(data)
+                if (parsed.choices && parsed.choices[0]?.delta?.content) {
+                  controller.enqueue({
+                    type: 'text-delta',
+                    textDelta: parsed.choices[0].delta.content,
+                  })
+                }
+              } catch (e) {
+              }
+            }
+          }
+        } catch (e) {
+          controller.enqueue({
+            type: 'error',
+            error: e,
+          })
+        }
+      },
+    })
+
+    return {
+      stream: stream.pipeThrough(transformer),
+      rawCall: {
+        rawPrompt: llmMessages,
+        rawSettings: llmOptions,
+      }
+    }
+  }
+
+  private convertPromptToMessages(prompt: LanguageModelV1Prompt): ChatMessage[] {
+    return prompt.map(msg => {
+      if (msg.role === 'system') {
+        return {
+          role: 'system',
+          content: msg.content,
+        }
+      } else if (msg.role === 'user' || msg.role === 'assistant') {
+        let content = ''
+        if (Array.isArray(msg.content)) {
+          content = msg.content
+            .filter(part => part.type === 'text')
+            .map(part => (part.type === 'text' ? part.text : ''))
+            .join('')
+        } else if (typeof msg.content === 'string') {
+          content = msg.content
+        }
+        
+        const chatMessage: ChatMessage = {
+          role: msg.role,
+          content,
+        }
+        
+        if ('name' in msg && typeof msg.name === 'string') {
+          chatMessage.name = msg.name
+        }
+        
+        return chatMessage
+      } else {
+        return {
+          role: 'assistant',
+          content: JSON.stringify(msg.content),
+        }
+      }
+    })
+  }
+  
+  supportsUrl(url: URL): boolean {
+    return false
+  }
+}
+
+export const createLLMDoProvider = (options: LLMDoProviderOptions = {}) => {
+  const client = new LLMClient({
+    apiKey: options.apiKey,
+    baseUrl: options.baseUrl || 'https://llm.do',
+  })
+
+  const provider: ProviderV1 = {
+    languageModel(modelId: string): LanguageModelV1 {
+      return new LLMDoLanguageModel(modelId || options.defaultModel || 'gemini-2.0-flash', client)
+    },
+    
+    textEmbeddingModel(modelId: string): EmbeddingModelV1<string> {
+      return new LLMDoEmbeddingModel(modelId || options.defaultModel || 'text-embedding-3-small', options.apiKey, options.baseUrl)
+    }
+  }
+
+  return provider
+}
+
+export const llmDoProvider = createLLMDoProvider()
+
+export default llmDoProvider


Reviews:
user: login: nathanclevenger
state: COMMENTED
author_association: MEMBER
submitted_at: 2025-03-30T09:49:54Z
user: login: nathanclevenger
state: COMMENTED
author_association: MEMBER
submitted_at: 2025-03-30T09:50:57Z
user: login: nathanclevenger
state: COMMENTED
author_association: MEMBER
submitted_at: 2025-03-30T10:10:00Z

Review comments:
path: sdks/llm.do/src/provider.ts
user: login: nathanclevenger
body: the default model should be 'gemini-2.0-flash'

and we do need to add support for embedding models as well
created_at: 2025-03-30T09:49:54Z
author_association: MEMBER
path: sdks/llm.do/src/provider.ts
user: login: nathanclevenger
body: oh, and we should add `apis.do` as a dependency, as that will provide the API client/fetcher

created_at: 2025-03-30T09:50:56Z
author_association: MEMBER
diff_hunk: @@ -72,6 +72,66 @@ for await (const chunk of stream) {
 }
 ```
 
+## Vercel AI SDK Integration
+
+LLM.do provides a Vercel AI SDK provider for seamless integration with the Vercel AI SDK:
+
+```typescript
+import { llmDoProvider } from 'llm.do'
+import { generateText, generateObject, generateEmbeddings } from 'ai'
+
+// Generate text using the llm.do provider
+const text = await generateText({
+  model: llmDoProvider.languageModel('gemini-2.0-flash'),
+  prompt: 'Explain the theory of relativity in simple terms',
+})
+
+// Generate structured JSON output
+const jsonOutput = await generateObject({
+  model: llmDoProvider.languageModel('gemini-2.0-flash'),
path: sdks/llm.do/README.md
user: login: nathanclevenger
body:  model: llmDoProvider.languageModel('gemini-2.0-flash')
 should be:
  model: llm('gemini-2.0-flash')
  
  And for schema example use zod please
created_at: 2025-03-30T10:10:00Z
author_association: MEMBER

PR comments:
user: login: devin-ai-integration[bot]
created_at: 2025-03-30T09:47:02Z
body: ### 🤖 Devin AI Engineer

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author_association: CONTRIBUTOR
user: login: vercel[bot]
created_at: 2025-03-30T09:47:02Z
body: [vc]: #LRLLSvRWo64uEC8I2HRD0xRFSw1FbrJk9zbJYIIuzX4=: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| Name | Status | Preview | Comments | Updated (UTC) |
| :--- | :----- | :------ | :------- | :------ |
| **ai** | ✅ Ready ([Inspect](https://vercel.com/drivly/ai/9RiBrQLs3N6ods5A6fUMEtFULkau)) | [Visit Preview](https://ai-git-devin-1743327565-llm-do-ai-sdk-provider.dev.driv.ly) | 💬 [**Add feedback**](https://vercel.live/open-feedback/ai-git-devin-1743327565-llm-do-ai-sdk-provider.dev.driv.ly?via=pr-comment-feedback-link) | Mar 30, 2025 10:18am |


author_association: NONE
user: login: nathanclevenger
created_at: 2025-03-30T09:59:57Z
body: ok now we need a README and make sure package.json is up to date with everything needed for publishing
author_association: MEMBER
user: login: devin-ai-integration[bot]
created_at: 2025-03-30T10:26:57Z
body: Devin is currently unreachable - the session may have died.
author_association: CONTRIBUTOR