|
| 1 | +package providers |
| 2 | + |
| 3 | +import ( |
| 4 | + "context" |
| 5 | + "os" |
| 6 | + "testing" |
| 7 | + |
| 8 | + "github.com/maximhq/bifrost/core/schemas" |
| 9 | +) |
| 10 | + |
| 11 | +func TestOpenAIChatCompletion(t *testing.T) { |
| 12 | + apiKey := os.Getenv("OPENAI_API_KEY") |
| 13 | + if apiKey == "" { |
| 14 | + t.Skip("OPENAI_API_KEY not set") |
| 15 | + } |
| 16 | + |
| 17 | + provider := NewOpenAIProvider(&schemas.ProviderConfig{ |
| 18 | + NetworkConfig: schemas.NetworkConfig{ |
| 19 | + BaseURL: "https://api.openai.com", |
| 20 | + DefaultRequestTimeoutInSeconds: 30, |
| 21 | + }, |
| 22 | + ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ |
| 23 | + Concurrency: 10, |
| 24 | + }, |
| 25 | + }, newTestLogger()) |
| 26 | + |
| 27 | + ctx := context.Background() |
| 28 | + key := schemas.Key{Value: apiKey} |
| 29 | + |
| 30 | + request := &schemas.BifrostChatRequest{ |
| 31 | + Provider: schemas.OpenAI, |
| 32 | + Model: "gpt-3.5-turbo", |
| 33 | + Input: []schemas.ChatMessage{ |
| 34 | + { |
| 35 | + Role: "user", |
| 36 | + Content: &schemas.ChatMessageContent{ContentStr: stringPtr("Say hello in one word")}, |
| 37 | + }, |
| 38 | + }, |
| 39 | + Params: &schemas.ChatParameters{ |
| 40 | + Temperature: float64Ptr(0.7), |
| 41 | + MaxCompletionTokens: intPtr(10), |
| 42 | + }, |
| 43 | + } |
| 44 | + |
| 45 | + resp, err := provider.ChatCompletion(ctx, key, request) |
| 46 | + if err != nil { |
| 47 | + t.Fatalf("ChatCompletion failed: %v", err) |
| 48 | + } |
| 49 | + |
| 50 | + if resp == nil { |
| 51 | + t.Fatal("Expected non-nil response") |
| 52 | + } |
| 53 | + if len(resp.Choices) == 0 { |
| 54 | + t.Fatal("Expected at least one choice") |
| 55 | + } |
| 56 | + if resp.Choices[0].Message.Content == nil { |
| 57 | + t.Fatal("Expected message content") |
| 58 | + } |
| 59 | + t.Logf("Response: %s", *resp.Choices[0].Message.Content) |
| 60 | +} |
| 61 | + |
| 62 | +func TestOpenAIChatCompletionWithTools(t *testing.T) { |
| 63 | + apiKey := os.Getenv("OPENAI_API_KEY") |
| 64 | + if apiKey == "" { |
| 65 | + t.Skip("OPENAI_API_KEY not set") |
| 66 | + } |
| 67 | + |
| 68 | + provider := NewOpenAIProvider(&schemas.ProviderConfig{ |
| 69 | + NetworkConfig: schemas.NetworkConfig{ |
| 70 | + BaseURL: "https://api.openai.com", |
| 71 | + DefaultRequestTimeoutInSeconds: 30, |
| 72 | + }, |
| 73 | + ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ |
| 74 | + Concurrency: 10, |
| 75 | + }, |
| 76 | + }, newTestLogger()) |
| 77 | + |
| 78 | + ctx := context.Background() |
| 79 | + key := schemas.Key{Value: apiKey} |
| 80 | + |
| 81 | + props := map[string]interface{}{ |
| 82 | + "location": map[string]interface{}{ |
| 83 | + "type": "string", |
| 84 | + "description": "The city name", |
| 85 | + }, |
| 86 | + } |
| 87 | + |
| 88 | + request := &schemas.BifrostChatRequest{ |
| 89 | + Provider: schemas.OpenAI, |
| 90 | + Model: "gpt-3.5-turbo", |
| 91 | + Input: []schemas.ChatMessage{ |
| 92 | + { |
| 93 | + Role: "user", |
| 94 | + Content: &schemas.ChatMessageContent{ContentStr: stringPtr("What's the weather in San Francisco?")}, |
| 95 | + }, |
| 96 | + }, |
| 97 | + Params: &schemas.ChatParameters{ |
| 98 | + Temperature: float64Ptr(0.7), |
| 99 | + MaxCompletionTokens: intPtr(100), |
| 100 | + Tools: []schemas.ChatTool{ |
| 101 | + { |
| 102 | + Type: schemas.ChatToolTypeFunction, |
| 103 | + Function: &schemas.ChatToolFunction{ |
| 104 | + Name: "get_weather", |
| 105 | + Description: stringPtr("Get the current weather"), |
| 106 | + Parameters: &schemas.ToolFunctionParameters{ |
| 107 | + Type: "object", |
| 108 | + Properties: &props, |
| 109 | + Required: []string{"location"}, |
| 110 | + }, |
| 111 | + }, |
| 112 | + }, |
| 113 | + }, |
| 114 | + }, |
| 115 | + } |
| 116 | + |
| 117 | + resp, err := provider.ChatCompletion(ctx, key, request) |
| 118 | + if err != nil { |
| 119 | + t.Fatalf("ChatCompletion with tools failed: %v", err) |
| 120 | + } |
| 121 | + |
| 122 | + if resp == nil { |
| 123 | + t.Fatal("Expected non-nil response") |
| 124 | + } |
| 125 | + if len(resp.Choices) == 0 { |
| 126 | + t.Fatal("Expected at least one choice") |
| 127 | + } |
| 128 | + t.Logf("Tool calls: %d", len(resp.Choices[0].Message.ToolCalls)) |
| 129 | +} |
| 130 | + |
| 131 | +func TestOpenAIChatCompletionStream(t *testing.T) { |
| 132 | + apiKey := os.Getenv("OPENAI_API_KEY") |
| 133 | + if apiKey == "" { |
| 134 | + t.Skip("OPENAI_API_KEY not set") |
| 135 | + } |
| 136 | + |
| 137 | + provider := NewOpenAIProvider(&schemas.ProviderConfig{ |
| 138 | + NetworkConfig: schemas.NetworkConfig{ |
| 139 | + BaseURL: "https://api.openai.com", |
| 140 | + DefaultRequestTimeoutInSeconds: 30, |
| 141 | + }, |
| 142 | + ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ |
| 143 | + Concurrency: 10, |
| 144 | + }, |
| 145 | + }, newTestLogger()) |
| 146 | + |
| 147 | + ctx := context.Background() |
| 148 | + key := schemas.Key{Value: apiKey} |
| 149 | + |
| 150 | + request := &schemas.BifrostChatRequest{ |
| 151 | + Provider: schemas.OpenAI, |
| 152 | + Model: "gpt-3.5-turbo", |
| 153 | + Input: []schemas.ChatMessage{ |
| 154 | + { |
| 155 | + Role: "user", |
| 156 | + Content: &schemas.ChatMessageContent{ContentStr: stringPtr("Count from 1 to 3")}, |
| 157 | + }, |
| 158 | + }, |
| 159 | + Params: &schemas.ChatParameters{ |
| 160 | + Temperature: float64Ptr(0.7), |
| 161 | + }, |
| 162 | + } |
| 163 | + |
| 164 | + streamChan, err := provider.ChatCompletionStream(ctx, mockPostHookRunner, key, request) |
| 165 | + if err != nil { |
| 166 | + t.Fatalf("ChatCompletionStream failed: %v", err) |
| 167 | + } |
| 168 | + |
| 169 | + count := 0 |
| 170 | + for chunk := range streamChan { |
| 171 | + if chunk.Error != nil { |
| 172 | + t.Fatalf("Stream error: %v", chunk.Error) |
| 173 | + } |
| 174 | + count++ |
| 175 | + } |
| 176 | + |
| 177 | + if count == 0 { |
| 178 | + t.Fatal("Expected at least one chunk") |
| 179 | + } |
| 180 | + t.Logf("Received %d chunks", count) |
| 181 | +} |
| 182 | + |
| 183 | +func TestOpenAITextCompletion(t *testing.T) { |
| 184 | + apiKey := os.Getenv("OPENAI_API_KEY") |
| 185 | + if apiKey == "" { |
| 186 | + t.Skip("OPENAI_API_KEY not set") |
| 187 | + } |
| 188 | + |
| 189 | + provider := NewOpenAIProvider(&schemas.ProviderConfig{ |
| 190 | + NetworkConfig: schemas.NetworkConfig{ |
| 191 | + BaseURL: "https://api.openai.com", |
| 192 | + DefaultRequestTimeoutInSeconds: 30, |
| 193 | + }, |
| 194 | + ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ |
| 195 | + Concurrency: 10, |
| 196 | + }, |
| 197 | + }, newTestLogger()) |
| 198 | + |
| 199 | + ctx := context.Background() |
| 200 | + key := schemas.Key{Value: apiKey} |
| 201 | + |
| 202 | + request := &schemas.BifrostTextCompletionRequest{ |
| 203 | + Provider: schemas.OpenAI, |
| 204 | + Model: "gpt-3.5-turbo-instruct", |
| 205 | + Input: &schemas.TextCompletionInput{PromptStr: stringPtr("Say hello")}, |
| 206 | + Params: &schemas.TextCompletionParameters{ |
| 207 | + Temperature: float64Ptr(0.7), |
| 208 | + MaxTokens: intPtr(10), |
| 209 | + }, |
| 210 | + } |
| 211 | + |
| 212 | + resp, err := provider.TextCompletion(ctx, key, request) |
| 213 | + if err != nil { |
| 214 | + t.Fatalf("TextCompletion failed: %v", err) |
| 215 | + } |
| 216 | + |
| 217 | + if resp == nil { |
| 218 | + t.Fatal("Expected non-nil response") |
| 219 | + } |
| 220 | + if len(resp.Choices) == 0 { |
| 221 | + t.Fatal("Expected at least one choice") |
| 222 | + } |
| 223 | + t.Logf("Response: %s", resp.Choices[0].Text) |
| 224 | +} |
| 225 | + |
| 226 | +func TestOpenAIEmbedding(t *testing.T) { |
| 227 | + apiKey := os.Getenv("OPENAI_API_KEY") |
| 228 | + if apiKey == "" { |
| 229 | + t.Skip("OPENAI_API_KEY not set") |
| 230 | + } |
| 231 | + |
| 232 | + provider := NewOpenAIProvider(&schemas.ProviderConfig{ |
| 233 | + NetworkConfig: schemas.NetworkConfig{ |
| 234 | + BaseURL: "https://api.openai.com", |
| 235 | + DefaultRequestTimeoutInSeconds: 30, |
| 236 | + }, |
| 237 | + ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ |
| 238 | + Concurrency: 10, |
| 239 | + }, |
| 240 | + }, newTestLogger()) |
| 241 | + |
| 242 | + ctx := context.Background() |
| 243 | + key := schemas.Key{Value: apiKey} |
| 244 | + |
| 245 | + request := &schemas.BifrostEmbeddingRequest{ |
| 246 | + Provider: schemas.OpenAI, |
| 247 | + Model: "text-embedding-ada-002", |
| 248 | + Input: &schemas.EmbeddingInput{Texts: []string{"Hello world"}}, |
| 249 | + } |
| 250 | + |
| 251 | + resp, err := provider.Embedding(ctx, key, request) |
| 252 | + if err != nil { |
| 253 | + t.Fatalf("Embedding failed: %v", err) |
| 254 | + } |
| 255 | + |
| 256 | + if resp == nil { |
| 257 | + t.Fatal("Expected non-nil response") |
| 258 | + } |
| 259 | + if len(resp.Data) == 0 { |
| 260 | + t.Fatal("Expected at least one embedding") |
| 261 | + } |
| 262 | + if resp.Data[0].Embedding.EmbeddingArray == nil || len(resp.Data[0].Embedding.EmbeddingArray) == 0 { |
| 263 | + t.Fatal("Expected non-empty embedding vector") |
| 264 | + } |
| 265 | + t.Logf("Embedding dimension: %d", len(resp.Data[0].Embedding.EmbeddingArray)) |
| 266 | +} |
| 267 | + |
| 268 | +func TestOpenAIGetProviderKey(t *testing.T) { |
| 269 | + provider := NewOpenAIProvider(&schemas.ProviderConfig{ |
| 270 | + NetworkConfig: schemas.NetworkConfig{ |
| 271 | + BaseURL: "https://api.openai.com", |
| 272 | + }, |
| 273 | + ConcurrencyAndBufferSize: schemas.ConcurrencyAndBufferSize{ |
| 274 | + Concurrency: 10, |
| 275 | + }, |
| 276 | + }, newTestLogger()) |
| 277 | + |
| 278 | + key := provider.GetProviderKey() |
| 279 | + if key != schemas.OpenAI { |
| 280 | + t.Errorf("Expected provider key %s, got %s", schemas.OpenAI, key) |
| 281 | + } |
| 282 | +} |
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