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+---
+'@tanstack/ai-deepseek': minor
+---
+
+Add DeepSeek adapter support with `@tanstack/ai-deepseek` package. This adapter provides access to DeepSeek's powerful language models including DeepSeek-V3 (deepseek-chat), DeepSeek Reasoner (deepseek-reasoner), and DeepSeek Coder (deepseek-coder) with streaming, tool calling, and structured output capabilities.
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diff --git a/packages/typescript/ai-deepseek/CHANGELOG.md b/packages/typescript/ai-deepseek/CHANGELOG.md
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+# @tanstack/ai-deepseek
+
+## 0.1.0
+
+### Minor Changes
+
+- Initial release of DeepSeek adapter for TanStack AI
+- Added support for DeepSeek chat models:
+ - `deepseek-chat` - Latest DeepSeek-V3 model with strong reasoning capabilities
+ - `deepseek-reasoner` - Specialized reasoning model with enhanced logical thinking
+ - `deepseek-coder` - Code-specialized model based on DeepSeek-Coder-V2
+- Implemented tree-shakeable adapters:
+ - Text adapter for chat/completion functionality
+ - Summarization adapter for text summarization
+ - Image adapter (placeholder - DeepSeek doesn't support image generation)
+- Features:
+ - Streaming chat responses
+ - Function/tool calling with automatic execution
+ - Structured output with Zod schema validation through system prompts
+ - OpenAI-compatible API integration
+ - Full TypeScript support with per-model type inference
+ - Environment variable configuration (`DEEPSEEK_API_KEY`)
+ - Custom base URL support for enterprise deployments
diff --git a/packages/typescript/ai-deepseek/README.md b/packages/typescript/ai-deepseek/README.md
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+
+
+
+
+
+
+
+
+
+
+### [Become a Sponsor!](https://github.com/sponsors/tannerlinsley/)
+
+
+# TanStack AI - DeepSeek Adapter
+
+DeepSeek adapter for TanStack AI - provides access to DeepSeek's powerful language models including DeepSeek-V3, DeepSeek Reasoner, and DeepSeek Coder.
+
+- **Tree-shakeable adapters** - Import only what you need for smaller bundles
+- **Type-safe model options** - Fully typed DeepSeek model configurations
+- **Tool calling support** - Function calling with automatic tool execution
+- **Streaming responses** - Real-time response streaming
+- **Structured output** - Type-safe responses with Zod schemas
+
+### Read the docs →
+
+## Tree-Shakeable Adapters
+
+Import only the functionality you need for smaller bundle sizes:
+
+```typescript
+// Only chat functionality - no summarization code bundled
+import { deepseekText } from '@tanstack/ai-deepseek/adapters'
+import { chat } from '@tanstack/ai'
+
+// Set your DeepSeek API key
+process.env.DEEPSEEK_API_KEY = 'sk-...'
+
+// Create adapter
+const adapter = deepseekText('deepseek-chat')
+
+// Start chatting
+const stream = chat({
+ adapter,
+ messages: [{ role: 'user', content: 'Hello, DeepSeek!' }]
+})
+
+for await (const chunk of stream) {
+ if (chunk.type === 'content') {
+ console.log(chunk.delta)
+ }
+}
+```
+
+Available adapters: `deepseekText`, `deepseekSummarize`
+
+## Installation
+
+```bash
+npm install @tanstack/ai-deepseek @tanstack/ai zod
+```
+
+## Supported Models
+
+### Chat/Text Models
+
+- `deepseek-chat` - Latest DeepSeek-V3 model with strong reasoning capabilities
+- `deepseek-reasoner` - Specialized reasoning model with enhanced logical thinking
+- `deepseek-coder` - Code-specialized model based on DeepSeek-Coder-V2
+
+## Features
+
+### Tool Calling
+
+DeepSeek supports function calling with automatic tool execution:
+
+```typescript
+import { toolDefinition } from '@tanstack/ai'
+import { z } from 'zod'
+
+const weatherTool = toolDefinition({
+ name: 'getWeather',
+ inputSchema: z.object({
+ location: z.string().describe('City name'),
+ }),
+ outputSchema: z.object({
+ temperature: z.number(),
+ condition: z.string(),
+ }),
+})
+
+const serverTool = weatherTool.server(async ({ location }) => {
+ // Your weather API call here
+ return { temperature: 72, condition: 'sunny' }
+})
+
+const stream = chat({
+ adapter: deepseekText('deepseek-chat'),
+ messages: [{ role: 'user', content: 'What\'s the weather in San Francisco?' }],
+ tools: [serverTool],
+})
+```
+
+### Structured Output
+
+Generate type-safe structured responses using Zod schemas:
+
+```typescript
+import { generate } from '@tanstack/ai'
+import { z } from 'zod'
+
+const schema = z.object({
+ summary: z.string(),
+ keyPoints: z.array(z.string()),
+ sentiment: z.enum(['positive', 'negative', 'neutral']),
+})
+
+const result = await generate({
+ adapter: deepseekText('deepseek-chat'),
+ messages: [{
+ role: 'user',
+ content: 'Analyze this product review: "Great product, love it!"'
+ }],
+ schema,
+})
+
+// result.data is fully typed according to your schema
+console.log(result.data.summary)
+console.log(result.data.keyPoints)
+console.log(result.data.sentiment)
+```
+
+### Streaming Support
+
+All adapters support streaming for real-time responses:
+
+```typescript
+const stream = chat({
+ adapter: deepseekText('deepseek-chat'),
+ messages: [{ role: 'user', content: 'Write a story about AI' }],
+})
+
+for await (const chunk of stream) {
+ switch (chunk.type) {
+ case 'content':
+ process.stdout.write(chunk.delta)
+ break
+ case 'tool_call':
+ console.log('Tool called:', chunk.toolCall.function.name)
+ break
+ case 'done':
+ console.log('\nUsage:', chunk.usage)
+ break
+ }
+}
+```
+
+## Configuration
+
+### Environment Variables
+
+Set your DeepSeek API key:
+
+```bash
+export DEEPSEEK_API_KEY="sk-your-api-key-here"
+```
+
+### Custom Configuration
+
+```typescript
+import { createDeepSeekText } from '@tanstack/ai-deepseek'
+
+const adapter = createDeepSeekText('deepseek-chat', 'sk-...', {
+ baseURL: 'https://api.deepseek.com', // Custom API endpoint
+})
+```
+
+### Model Options
+
+Configure model-specific parameters:
+
+```typescript
+const stream = chat({
+ adapter: deepseekText('deepseek-chat'),
+ messages: [{ role: 'user', content: 'Hello!' }],
+ temperature: 0.8, // Creativity (0-2)
+ maxTokens: 2000, // Response length
+ topP: 0.9, // Nucleus sampling
+ frequencyPenalty: 0.1, // Reduce repetition
+ presencePenalty: 0.1, // Encourage novelty
+ stop: ['END'], // Stop sequences
+})
+```
+
+## Type Safety
+
+This adapter provides full TypeScript support with:
+
+- **Per-model type inference** - Options are typed based on the selected model
+- **Tool type safety** - Automatic inference of tool input/output types
+- **Schema validation** - Runtime validation with Zod schemas
+
+```typescript
+// Model-specific type inference
+const adapter = deepseekText('deepseek-reasoner') // Types inferred for reasoning model
+
+// Tool type safety
+const tool = toolDefinition({
+ name: 'calculate',
+ inputSchema: z.object({ expression: z.string() }),
+ outputSchema: z.object({ result: z.number() }),
+})
+
+// Fully typed tool implementation
+const serverTool = tool.server(async ({ expression }) => {
+ // expression is typed as string
+ return { result: eval(expression) } // result must be { result: number }
+})
+```
+
+## DeepSeek Model Capabilities
+
+| Model | Strengths | Best For |
+|-------|-----------|----------|
+| `deepseek-chat` | General conversation, reasoning | Chat applications, general Q&A |
+| `deepseek-reasoner` | Enhanced logical thinking | Complex problem solving, analysis |
+| `deepseek-coder` | Code understanding and generation | Programming assistance, code review |
+
+## Limitations
+
+- **Image Generation**: DeepSeek does not currently support image generation
+- **Multimodal Input**: Limited support for non-text inputs compared to other providers
+- **Rate Limits**: Refer to DeepSeek's API documentation for current rate limits
+
+## Get Involved
+
+- We welcome issues and pull requests!
+- Participate in [GitHub discussions](https://github.com/TanStack/ai/discussions)
+- Chat with the community on [Discord](https://discord.com/invite/WrRKjPJ)
+- See [CONTRIBUTING.md](./CONTRIBUTING.md) for setup instructions
+
+## Partners
+
+
+
+
+
+
+We're looking for TanStack AI Partners to join our mission! Partner with us to push the boundaries of TanStack AI and build amazing things together.
+
+
LET'S CHAT
+
+ 
+ 
+
+
+
+ 
+