DInference
Access 3 DInference models through Mastra's model router. Authentication is handled automatically using the DINFERENCE_API_KEY environment variable.
Learn more in the DInference documentation.
.env
DINFERENCE_API_KEY=your-api-key
src/mastra/agents/my-agent.ts
import { Agent } from "@mastra/core/agent";
const agent = new Agent({
id: "my-agent",
name: "My Agent",
instructions: "You are a helpful assistant",
model: "dinference/glm-4.7"
});
// 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);
}
info
Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the DInference documentation for details.
ModelsDirect link to Models
| Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
|---|---|---|---|---|---|---|---|---|
dinference/glm-4.7 | 200K | $0.45 | $2 | |||||
dinference/glm-5 | 200K | $0.75 | $2 | |||||
dinference/gpt-oss-120b | 131K | $0.07 | $0.27 |
Advanced configurationDirect link to Advanced configuration
Custom headersDirect link to Custom headers
src/mastra/agents/my-agent.ts
const agent = new Agent({
id: "custom-agent",
name: "custom-agent",
model: {
url: "https://api.dinference.com/v1",
id: "dinference/glm-4.7",
apiKey: process.env.DINFERENCE_API_KEY,
headers: {
"X-Custom-Header": "value"
}
}
});
Dynamic model selectionDirect link to Dynamic model selection
src/mastra/agents/my-agent.ts
const agent = new Agent({
id: "dynamic-agent",
name: "Dynamic Agent",
model: ({ requestContext }) => {
const useAdvanced = requestContext.task === "complex";
return useAdvanced
? "dinference/gpt-oss-120b"
: "dinference/glm-4.7";
}
});