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| 1 | +package openai |
| 2 | + |
| 3 | +import ( |
| 4 | + "context" |
| 5 | + "fmt" |
| 6 | + |
| 7 | + "github.com/firebase/genkit/go/ai" |
| 8 | + "github.com/openai/openai-go" |
| 9 | +) |
| 10 | + |
| 11 | +// ModelGenerator handles OpenAI generation requests |
| 12 | +type ModelGenerator struct { |
| 13 | + client *openai.Client |
| 14 | + modelName string |
| 15 | + request *openai.ChatCompletionNewParams |
| 16 | +} |
| 17 | + |
| 18 | +// NewModelGenerator creates a new ModelGenerator instance |
| 19 | +func NewModelGenerator(client *openai.Client, modelName string) *ModelGenerator { |
| 20 | + return &ModelGenerator{ |
| 21 | + client: client, |
| 22 | + modelName: modelName, |
| 23 | + request: &openai.ChatCompletionNewParams{ |
| 24 | + Model: openai.F(modelName), |
| 25 | + }, |
| 26 | + } |
| 27 | +} |
| 28 | + |
| 29 | +// WithMessages adds messages to the request |
| 30 | +func (g *ModelGenerator) WithMessages(messages []*ai.Message) *ModelGenerator { |
| 31 | + oaiMessages := make([]openai.ChatCompletionMessageParamUnion, 0, len(messages)) |
| 32 | + for _, msg := range messages { |
| 33 | + content := g.concatenateContent(msg.Content) |
| 34 | + switch msg.Role { |
| 35 | + case ai.RoleSystem: |
| 36 | + oaiMessages = append(oaiMessages, openai.SystemMessage(content)) |
| 37 | + case ai.RoleModel: |
| 38 | + oaiMessages = append(oaiMessages, openai.AssistantMessage(content)) |
| 39 | + case ai.RoleTool: |
| 40 | + oaiMessages = append(oaiMessages, openai.ToolMessage("", content)) // TODO: Add tool ID if needed |
| 41 | + default: |
| 42 | + oaiMessages = append(oaiMessages, openai.UserMessage(content)) |
| 43 | + } |
| 44 | + } |
| 45 | + g.request.Messages = openai.F(oaiMessages) |
| 46 | + return g |
| 47 | +} |
| 48 | + |
| 49 | +// WithConfig adds configuration parameters from the model request |
| 50 | +func (g *ModelGenerator) WithConfig(config any) *ModelGenerator { |
| 51 | + if config != nil { |
| 52 | + // TODO: Implement configuration from model request |
| 53 | + // modelRequest.Config is any type |
| 54 | + } |
| 55 | + return g |
| 56 | +} |
| 57 | + |
| 58 | +// WithTools adds tools to the request |
| 59 | +func (g *ModelGenerator) WithTools(tools []ai.Tool, choice ai.ToolChoice) *ModelGenerator { |
| 60 | + // TODO: Implement tools from model request |
| 61 | + // see vertex ai recent pr here for reference: https://github.com/firebase/genkit/pull/2259 |
| 62 | + return g |
| 63 | +} |
| 64 | + |
| 65 | +// Generate executes the generation request |
| 66 | +func (g *ModelGenerator) Generate(ctx context.Context, handleChunk func(context.Context, *ai.ModelResponseChunk) error) (*ai.ModelResponse, error) { |
| 67 | + if handleChunk != nil { |
| 68 | + return g.generateStream(ctx, handleChunk) |
| 69 | + } |
| 70 | + return g.generateComplete(ctx) |
| 71 | +} |
| 72 | + |
| 73 | +// concatenateContent concatenates text content into a single string |
| 74 | +func (g *ModelGenerator) concatenateContent(parts []*ai.Part) string { |
| 75 | + content := "" |
| 76 | + for _, part := range parts { |
| 77 | + content += part.Text |
| 78 | + } |
| 79 | + return content |
| 80 | +} |
| 81 | + |
| 82 | +// generateStream generates a streaming model response |
| 83 | +func (g *ModelGenerator) generateStream(ctx context.Context, handleChunk func(context.Context, *ai.ModelResponseChunk) error) (*ai.ModelResponse, error) { |
| 84 | + stream := g.client.Chat.Completions.NewStreaming(ctx, *g.request) |
| 85 | + defer stream.Close() |
| 86 | + |
| 87 | + var fullResponse ai.ModelResponse |
| 88 | + fullResponse.Message = &ai.Message{ |
| 89 | + Role: ai.RoleModel, |
| 90 | + Content: make([]*ai.Part, 0), |
| 91 | + } |
| 92 | + |
| 93 | + // Initialize request and usage |
| 94 | + fullResponse.Request = &ai.ModelRequest{} |
| 95 | + fullResponse.Usage = &ai.GenerationUsage{ |
| 96 | + InputTokens: 0, |
| 97 | + OutputTokens: 0, |
| 98 | + TotalTokens: 0, |
| 99 | + } |
| 100 | + |
| 101 | + for stream.Next() { |
| 102 | + chunk := stream.Current() |
| 103 | + if len(chunk.Choices) > 0 { |
| 104 | + content := chunk.Choices[0].Delta.Content |
| 105 | + modelChunk := &ai.ModelResponseChunk{ |
| 106 | + Content: []*ai.Part{ai.NewTextPart(content)}, |
| 107 | + } |
| 108 | + |
| 109 | + if err := handleChunk(ctx, modelChunk); err != nil { |
| 110 | + return nil, fmt.Errorf("callback error: %w", err) |
| 111 | + } |
| 112 | + |
| 113 | + fullResponse.Message.Content = append(fullResponse.Message.Content, modelChunk.Content...) |
| 114 | + |
| 115 | + // Update Usage |
| 116 | + fullResponse.Usage.InputTokens += int(chunk.Usage.PromptTokens) |
| 117 | + fullResponse.Usage.OutputTokens += int(chunk.Usage.CompletionTokens) |
| 118 | + fullResponse.Usage.TotalTokens += int(chunk.Usage.TotalTokens) |
| 119 | + } |
| 120 | + } |
| 121 | + |
| 122 | + if err := stream.Err(); err != nil { |
| 123 | + return nil, fmt.Errorf("stream error: %w", err) |
| 124 | + } |
| 125 | + |
| 126 | + return &fullResponse, nil |
| 127 | +} |
| 128 | + |
| 129 | +// generateComplete generates a complete model response |
| 130 | +func (g *ModelGenerator) generateComplete(ctx context.Context) (*ai.ModelResponse, error) { |
| 131 | + completion, err := g.client.Chat.Completions.New(ctx, *g.request) |
| 132 | + if err != nil { |
| 133 | + return nil, fmt.Errorf("failed to create completion: %w", err) |
| 134 | + } |
| 135 | + |
| 136 | + return &ai.ModelResponse{ |
| 137 | + Message: &ai.Message{ |
| 138 | + Role: ai.RoleModel, |
| 139 | + Content: []*ai.Part{ |
| 140 | + ai.NewTextPart(completion.Choices[0].Message.Content), |
| 141 | + }, |
| 142 | + }, |
| 143 | + FinishReason: ai.FinishReason("stop"), |
| 144 | + Request: &ai.ModelRequest{}, |
| 145 | + Usage: &ai.GenerationUsage{ |
| 146 | + InputTokens: int(completion.Usage.PromptTokens), |
| 147 | + OutputTokens: int(completion.Usage.CompletionTokens), |
| 148 | + TotalTokens: int(completion.Usage.TotalTokens), |
| 149 | + }, |
| 150 | + }, nil |
| 151 | +} |
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