Cerebras LLM Provider
The Cerebras provider connects Beluga AI to Cerebras’ inference platform, which uses wafer-scale engine (WSE) hardware for extremely fast inference. Cerebras exposes an OpenAI-compatible API, so this provider supports all standard features including streaming, tool calling, and structured output.
Choose Cerebras when you need the fastest possible inference for Llama models. Cerebras’ wafer-scale hardware delivers extremely high tokens-per-second rates, making it particularly suited for latency-critical applications and high-throughput processing of open-source models.
Installation
Section titled “Installation”go get github.com/lookatitude/beluga-ai/llm/providers/cerebrasConfiguration
Section titled “Configuration”| Field | Required | Default | Description |
|---|---|---|---|
Model | Yes | — | Model ID (e.g. "llama-3.3-70b") |
APIKey | Yes | — | Cerebras API key (csk-...) |
BaseURL | No | https://api.cerebras.ai/v1 | Override API endpoint |
Timeout | No | 30s | Request timeout |
Environment variables:
| Variable | Maps to |
|---|---|
CEREBRAS_API_KEY | APIKey |
Basic Usage
Section titled “Basic Usage”package main
import ( "context" "fmt" "log" "os"
"github.com/lookatitude/beluga-ai/config" "github.com/lookatitude/beluga-ai/llm" "github.com/lookatitude/beluga-ai/schema" _ "github.com/lookatitude/beluga-ai/llm/providers/cerebras")
func main() { model, err := llm.New("cerebras", config.ProviderConfig{ Model: "llama-3.3-70b", APIKey: os.Getenv("CEREBRAS_API_KEY"), }) if err != nil { log.Fatal(err) }
msgs := []schema.Message{ schema.NewSystemMessage("You are a helpful assistant."), schema.NewHumanMessage("What is the capital of France?"), }
resp, err := model.Generate(context.Background(), msgs) if err != nil { log.Fatal(err) }
fmt.Println(resp.Text())}Streaming
Section titled “Streaming”for chunk, err := range model.Stream(context.Background(), msgs) { if err != nil { log.Fatal(err) } fmt.Print(chunk.Delta)}fmt.Println()Advanced Features
Section titled “Advanced Features”Tool Calling
Section titled “Tool Calling”modelWithTools := model.BindTools(tools)resp, err := modelWithTools.Generate(ctx, msgs, llm.WithToolChoice(llm.ToolChoiceAuto))Structured Output
Section titled “Structured Output”resp, err := model.Generate(ctx, msgs, llm.WithResponseFormat(llm.ResponseFormat{Type: "json_object"}),)Generation Options
Section titled “Generation Options”resp, err := model.Generate(ctx, msgs, llm.WithTemperature(0.7), llm.WithMaxTokens(2048), llm.WithTopP(0.9), llm.WithStopSequences("END"),)Error Handling
Section titled “Error Handling”resp, err := model.Generate(ctx, msgs)if err != nil { log.Fatal(err)}Direct Construction
Section titled “Direct Construction”import "github.com/lookatitude/beluga-ai/llm/providers/cerebras"
model, err := cerebras.New(config.ProviderConfig{ Model: "llama-3.3-70b", APIKey: os.Getenv("CEREBRAS_API_KEY"),})Available Models
Section titled “Available Models”| Model ID | Description |
|---|---|
llama-3.3-70b | Llama 3.3 70B — highest quality available |
llama-3.1-8b | Llama 3.1 8B — ultra-fast small model |
Refer to Cerebras’ documentation for the latest model list.