DeepSeek
Access 2 DeepSeek models through Mastra's model router. Authentication is handled automatically using the DEEPSEEK_API_KEY environment variable.
Learn more in the DeepSeek documentation.
DEEPSEEK_API_KEY=your-api-key
import { Agent } from "@mastra/core";
const agent = new Agent({
name: "my-agent",
instructions: "You are a helpful assistant",
model: "deepseek/deepseek-chat",
});
// Generate a response
const response = await agent.generate("Hello!");
// Stream a response
const stream = await agent.stream("Tell me a story");
for await (const chunk of stream) {
console.log(chunk);
}
OpenAI Compatibility
Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the DeepSeek documentation for details.
Models
| Model | Image | Audio | Video | Tools | Streaming | Context Window |
|---|---|---|---|---|---|---|
deepseek/deepseek-chat | ✗ | ✗ | ✗ | ✓ | ✗ | 128,000 |
deepseek/deepseek-reasoner | ✗ | ✗ | ✗ | ✓ | ✗ | 128,000 |
Advanced Configuration
Custom Headers
const agent = new Agent({
name: "custom-agent",
model: {
url: "https://api.deepseek.com",
modelId: "deepseek-chat",
apiKey: process.env.DEEPSEEK_API_KEY,
headers: {
"X-Custom-Header": "value",
},
},
});
Dynamic Model Selection
const agent = new Agent({
name: "dynamic-agent",
model: ({ runtimeContext }) => {
const useAdvanced = runtimeContext.task === "complex";
return useAdvanced
? "deepseek/deepseek-reasoner"
: "deepseek/deepseek-chat";
},
});