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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,117 @@ | ||
| package main | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
| "os" | ||
| "time" | ||
|
|
||
| "github.com/sashabaranov/go-openai" | ||
| tlp "github.com/traceloop/go-openllmetry/traceloop-sdk" | ||
| ) | ||
|
|
||
| func main() { | ||
| ctx := context.Background() | ||
|
|
||
| traceloop, err := tlp.NewClient(ctx, tlp.Config{ | ||
| BaseURL: "api-staging.traceloop.com", | ||
| APIKey: os.Getenv("TRACELOOP_API_KEY"), | ||
| }) | ||
| defer func() { traceloop.Shutdown(ctx) }() | ||
|
|
||
| if err != nil { | ||
| fmt.Printf("NewClient error: %v\n", err) | ||
| return | ||
| } | ||
|
|
||
| wf := traceloop.NewWorkflow(ctx, tlp.WorkflowAttributes{ | ||
| Name: "history_generation", | ||
| }) | ||
| defer wf.End() | ||
|
|
||
| factGenTask := wf.NewTask("current_date_fact_generation") | ||
| defer factGenTask.End() | ||
|
|
||
| request, err := traceloop.GetOpenAIChatCompletionRequest("example-prompt", map[string]interface{}{ "date": time.Now().Format("01/02") }) | ||
| if err != nil { | ||
| fmt.Printf("GetOpenAIChatCompletionRequest error: %v\n", err) | ||
| return | ||
| } | ||
|
|
||
| var promptMsgs []tlp.Message | ||
| for i, message := range request.Messages { | ||
| promptMsgs = append(promptMsgs, tlp.Message{ | ||
| Index: i, | ||
| Content: message.Content, | ||
| Role: message.Role, | ||
| }) | ||
| } | ||
|
|
||
| llmSpan, err := factGenTask.LogPrompt( | ||
| tlp.Prompt{ | ||
| Vendor: "openai", | ||
| Mode: "chat", | ||
| Model: request.Model, | ||
| Messages: promptMsgs, | ||
| }, | ||
| ) | ||
| if err != nil { | ||
| fmt.Printf("LogPrompt error: %v\n", err) | ||
| return | ||
| } | ||
|
|
||
| client := openai.NewClient(os.Getenv("OPENAI_API_KEY")) | ||
| resp, err := client.CreateChatCompletion( | ||
| context.Background(), | ||
| *request, | ||
| ) | ||
| if err != nil { | ||
| fmt.Printf("ChatCompletion error: %v\n", err) | ||
| return | ||
| } | ||
|
|
||
| var completionMsgs []tlp.Message | ||
| for _, choice := range resp.Choices { | ||
| completionMsgs = append(completionMsgs, tlp.Message{ | ||
| Index: choice.Index, | ||
| Content: choice.Message.Content, | ||
| Role: choice.Message.Role, | ||
| }) | ||
| } | ||
|
|
||
| llmSpan.LogCompletion(ctx, tlp.Completion{ | ||
| Model: resp.Model, | ||
| Messages: completionMsgs, | ||
| }, tlp.Usage{ | ||
| TotalTokens: resp.Usage.TotalTokens, | ||
| CompletionTokens: resp.Usage.CompletionTokens, | ||
| PromptTokens: resp.Usage.PromptTokens, | ||
| }) | ||
|
|
||
| someOtherTask := wf.NewTask("some_other_task") | ||
| defer someOtherTask.End() | ||
|
|
||
| otherPrompt, _ := someOtherTask.LogPrompt(tlp.Prompt{ | ||
| Vendor: "openai", | ||
| Mode: "chat", | ||
| Model: request.Model, | ||
| Messages: []tlp.Message{ | ||
| { | ||
| Index: 0, | ||
| Content: "some other prompt", | ||
| Role: "user", | ||
| }, | ||
| }, | ||
| }) | ||
|
|
||
| otherPrompt.LogCompletion(ctx, tlp.Completion{ | ||
| Model: resp.Model, | ||
| Messages: completionMsgs, | ||
| }, tlp.Usage{ | ||
| TotalTokens: resp.Usage.TotalTokens, | ||
| CompletionTokens: resp.Usage.CompletionTokens, | ||
| PromptTokens: resp.Usage.PromptTokens, | ||
| }) | ||
|
|
||
| fmt.Println(resp.Choices[0].Message.Content) | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,69 @@ | ||
| package traceloop | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
|
|
||
| semconvai "github.com/traceloop/go-openllmetry/semconv-ai" | ||
| "go.opentelemetry.io/otel/trace" | ||
| ) | ||
|
|
||
| type Workflow struct { | ||
| sdk *Traceloop | ||
| ctx context.Context | ||
| Attributes WorkflowAttributes `json:"workflow_attributes"` | ||
| } | ||
|
|
||
| type Task struct { | ||
| workflow *Workflow | ||
| ctx context.Context | ||
| Name string `json:"name"` | ||
| } | ||
|
|
||
| func (instance *Traceloop) NewWorkflow(ctx context.Context, attrs WorkflowAttributes) *Workflow { | ||
| wCtx, span := instance.getTracer().Start(ctx, fmt.Sprintf("%s.workflow", attrs.Name), trace.WithNewRoot()) | ||
|
|
||
| span.SetAttributes( | ||
| semconvai.TraceloopWorkflowName.String(attrs.Name), | ||
| semconvai.TraceloopSpanKind.String("task"), | ||
| semconvai.TraceloopEntityName.String(attrs.Name), | ||
| ) | ||
|
|
||
| return &Workflow{ | ||
| sdk: instance, | ||
| ctx: wCtx, | ||
| Attributes: attrs, | ||
| } | ||
| } | ||
|
|
||
| func (workflow *Workflow) End() { | ||
| trace.SpanFromContext(workflow.ctx).End() | ||
| } | ||
|
|
||
| func (workflow *Workflow) LogPrompt(prompt Prompt) (LLMSpan, error) { | ||
| return workflow.sdk.LogPrompt(workflow.ctx, prompt, workflow.Attributes) | ||
| } | ||
|
|
||
| func (workflow *Workflow) NewTask(name string) *Task { | ||
| tCtx, span := workflow.sdk.getTracer().Start(workflow.ctx, fmt.Sprintf("%s.task", name)) | ||
|
|
||
| span.SetAttributes( | ||
| semconvai.TraceloopWorkflowName.String(workflow.Attributes.Name), | ||
| semconvai.TraceloopSpanKind.String("task"), | ||
| semconvai.TraceloopEntityName.String(name), | ||
| ) | ||
|
|
||
| return &Task{ | ||
| workflow: workflow, | ||
| ctx: tCtx, | ||
| Name: name, | ||
| } | ||
| } | ||
|
|
||
| func (task *Task) End() { | ||
| trace.SpanFromContext(task.ctx).End() | ||
| } | ||
|
|
||
| func (task *Task) LogPrompt(prompt Prompt) (LLMSpan, error) { | ||
| return task.workflow.sdk.LogPrompt(task.ctx, prompt, task.workflow.Attributes) | ||
| } |