61 lines
1.7 KiB
Go
61 lines
1.7 KiB
Go
package nebius_test
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import (
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"os"
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"testing"
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"github.com/maximhq/bifrost/core/internal/llmtests"
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"github.com/maximhq/bifrost/core/schemas"
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)
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func TestNebius(t *testing.T) {
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t.Parallel()
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if os.Getenv("NEBIUS_API_KEY") == "" {
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t.Skip("Skipping Nebius tests because NEBIUS_API_KEY is not set")
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}
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client, ctx, cancel, err := llmtests.SetupTest()
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if err != nil {
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t.Fatalf("Error initializing test setup: %v", err)
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}
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defer cancel()
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defer client.Shutdown()
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testConfig := llmtests.ComprehensiveTestConfig{
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Provider: schemas.Nebius,
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ChatModel: "openai/gpt-oss-120b",
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TextModel: "openai/gpt-oss-120b",
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Fallbacks: []schemas.Fallback{
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{Provider: schemas.Nebius, Model: "meta-llama/Meta-Llama-3.1-8B-Instruct-fast"},
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},
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EmbeddingModel: "BAAI/bge-en-icl",
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ImageGenerationModel: "black-forest-labs/flux-schnell",
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Scenarios: llmtests.TestScenarios{
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TextCompletion: true,
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TextCompletionStream: true,
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SimpleChat: true,
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CompletionStream: true,
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MultiTurnConversation: true,
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ToolCalls: true,
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ToolCallsStreaming: true,
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MultipleToolCalls: true,
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MultipleToolCallsStreaming: true,
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End2EndToolCalling: true,
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AutomaticFunctionCall: true,
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ImageURL: true,
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ImageBase64: true,
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MultipleImages: true,
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ImageGeneration: true,
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CompleteEnd2End: true,
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ImageGenerationStream: false,
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Embedding: true, // Nebius supports embeddings
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ListModels: true,
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},
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}
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t.Run("NebiusTests", func(t *testing.T) {
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llmtests.RunAllComprehensiveTests(t, client, ctx, testConfig)
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})
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}
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