vetrag/openai_client.go

341 lines
10 KiB
Go

package main
import (
"context"
"encoding/json"
"errors"
"fmt"
"net/http"
"strings"
"time"
"github.com/sashabaranov/go-openai"
"github.com/sirupsen/logrus"
)
// Constants for OpenAI client
const (
// DefaultMaxTokens defines the default maximum number of tokens for completions
DefaultMaxTokens = 1500
// DefaultTemperature defines the default temperature for model responses
DefaultTemperature = 0.7
// OpenRouterDomain is used to detect if we're using OpenRouter
OpenRouterDomain = "openrouter.ai"
)
// OpenAIClient implements the LLMClientAPI interface using OpenAI's API
type OpenAIClient struct {
APIKey string
BaseURL string
Model string
Repo ChatRepositoryAPI
client *openai.Client
logger *logrus.Entry
}
// NewOpenAIClient creates a new OpenAI client with the provided configuration
func NewOpenAIClient(apiKey, baseURL, model string, repo ChatRepositoryAPI) *OpenAIClient {
config := openai.DefaultConfig(apiKey)
// Set custom base URL if provided
if baseURL != "" {
config.BaseURL = normalizeBaseURL(baseURL)
}
// Configure HTTP client with appropriate headers for OpenRouter if needed
if isOpenRouter(baseURL) {
config.HTTPClient = createOpenRouterHTTPClient()
}
logger := logrus.WithFields(logrus.Fields{
"component": "openai_client",
"model": model,
"base_url": config.BaseURL,
})
logger.Info("Initializing OpenAI client")
client := openai.NewClientWithConfig(config)
return &OpenAIClient{
APIKey: apiKey,
BaseURL: baseURL,
Model: model,
Repo: repo,
client: client,
logger: logger,
}
}
// ExtractKeywords extracts keywords from a message
func (c *OpenAIClient) ExtractKeywords(ctx context.Context, message string) (map[string]interface{}, error) {
c.logger.WithField("message_length", len(message)).Debug("Extracting keywords")
prompt, err := renderPrompt(appConfig.LLM.ExtractKeywordsPrompt, map[string]string{"Message": message})
if err != nil {
c.logger.WithError(err).Error("Failed to render ExtractKeywords prompt")
return nil, fmt.Errorf("failed to render prompt: %w", err)
}
format := GetExtractKeywordsFormat()
c.logger.WithField("prompt", prompt).Debug("ExtractKeywords prompt prepared")
resp, err := c.createCompletion(ctx, prompt, format)
if err != nil {
return nil, err
}
var result map[string]interface{}
if err := json.Unmarshal([]byte(resp), &result); err != nil {
c.logger.WithError(err).Error("Failed to parse ExtractKeywords response")
return nil, fmt.Errorf("failed to parse response: %w", err)
}
return result, nil
}
// DisambiguateBestMatch finds the best match among candidates for a message
func (c *OpenAIClient) DisambiguateBestMatch(ctx context.Context, message string, candidates []Visit) (string, error) {
c.logger.WithFields(logrus.Fields{
"message_length": len(message),
"candidates": len(candidates),
}).Debug("Disambiguating best match")
format := GetDisambiguateFormat()
entries, err := json.Marshal(candidates)
if err != nil {
c.logger.WithError(err).Error("Failed to marshal candidates")
return "", fmt.Errorf("failed to marshal candidates: %w", err)
}
prompt, err := renderPrompt(appConfig.LLM.DisambiguatePrompt, map[string]string{
"Entries": string(entries),
"Message": message,
})
if err != nil {
c.logger.WithError(err).Error("Failed to render Disambiguate prompt")
return "", fmt.Errorf("failed to render prompt: %w", err)
}
c.logger.WithField("prompt", prompt).Debug("DisambiguateBestMatch prompt prepared")
resp, err := c.createCompletion(ctx, prompt, format)
if err != nil {
return "", err
}
var parsed map[string]string
if err := json.Unmarshal([]byte(resp), &parsed); err != nil {
c.logger.WithError(err).Error("Failed to parse disambiguation response")
return "", fmt.Errorf("failed to parse response: %w", err)
}
visitReason := strings.TrimSpace(parsed["visitReason"])
if visitReason == "" {
return "", errors.New("visitReason not found in response")
}
return visitReason, nil
}
// TranslateToEnglish translates a message to English
func (c *OpenAIClient) TranslateToEnglish(ctx context.Context, message string) (string, error) {
c.logger.WithField("message_length", len(message)).Debug("Translating to English")
prompt, err := renderPrompt(appConfig.LLM.TranslatePrompt, map[string]string{"Message": message})
if err != nil {
c.logger.WithError(err).Error("Failed to render Translate prompt")
return "", fmt.Errorf("failed to render prompt: %w", err)
}
c.logger.WithField("prompt", prompt).Debug("TranslateToEnglish prompt prepared")
resp, err := c.createCompletion(ctx, prompt, nil)
if err != nil {
return "", err
}
return strings.TrimSpace(resp), nil
}
// GetEmbeddings generates embeddings for the input text
func (c *OpenAIClient) GetEmbeddings(ctx context.Context, input string) ([]float64, error) {
start := time.Now()
c.logger.WithField("input_length", len(input)).Debug("Generating embeddings")
// Create embedding request
req := openai.EmbeddingRequest{
Model: openai.EmbeddingModel(c.Model),
Input: input,
}
// Make the API call
resp, err := c.client.CreateEmbeddings(ctx, req)
duration := time.Since(start)
if err != nil {
c.logger.WithFields(logrus.Fields{
"latency_ms": duration.Milliseconds(),
"error": err.Error(),
}).Error("Embedding request failed")
return nil, fmt.Errorf("embedding error: %w", err)
}
if len(resp.Data) == 0 {
c.logger.WithField("latency_ms", duration.Milliseconds()).Error("Empty embedding data in response")
return nil, errors.New("embedding error: no embedding data returned")
}
// Convert []float32 to []float64
embeddings := make([]float64, len(resp.Data[0].Embedding))
for i, v := range resp.Data[0].Embedding {
embeddings[i] = float64(v)
}
c.logger.WithFields(logrus.Fields{
"latency_ms": duration.Milliseconds(),
"vector_size": len(embeddings),
}).Debug("Embedding generated successfully")
return embeddings, nil
}
// createCompletion creates a chat completion with the given prompt and format
func (c *OpenAIClient) createCompletion(ctx context.Context, prompt string, format map[string]interface{}) (string, error) {
start := time.Now()
// Build system message with schema if format is provided
systemContent := "You are a helpful assistant."
if format != nil {
schemaJSON, _ := json.MarshalIndent(format, "", " ")
systemContent = fmt.Sprintf("You are a strict JSON generator. ONLY output valid JSON matching this schema: %s Do not add explanations.", string(schemaJSON))
}
// Create the chat completion request
req := openai.ChatCompletionRequest{
Model: c.Model,
Messages: []openai.ChatCompletionMessage{
{
Role: openai.ChatMessageRoleSystem,
Content: systemContent,
},
{
Role: openai.ChatMessageRoleUser,
Content: prompt,
},
},
Temperature: DefaultTemperature,
MaxTokens: DefaultMaxTokens,
}
// Set response format to JSON if we have a schema and we're not using a third-party model
isThirdPartyModel := strings.Contains(c.Model, "/")
if format != nil && !isThirdPartyModel {
req.ResponseFormat = &openai.ChatCompletionResponseFormat{
Type: openai.ChatCompletionResponseFormatTypeJSONObject,
}
}
// Log request details
c.logger.WithFields(logrus.Fields{
"model": c.Model,
"prompt_len": len(prompt),
}).Debug("Sending completion request")
// Make the API call
resp, err := c.client.CreateChatCompletion(ctx, req)
duration := time.Since(start)
// Handle errors
if err != nil {
c.logger.WithFields(logrus.Fields{
"latency_ms": duration.Milliseconds(),
"error": err.Error(),
}).Error("Completion request failed")
return "", fmt.Errorf("completion error: %w", err)
}
// Check if we got a response
if len(resp.Choices) == 0 {
c.logger.WithField("latency_ms", duration.Milliseconds()).Error("Empty choices in completion response")
return "", errors.New("completion error: no completion choices returned")
}
// Extract and clean content
content := resp.Choices[0].Message.Content
content = cleanJSONResponse(content, format != nil)
c.logger.WithFields(logrus.Fields{
"latency_ms": duration.Milliseconds(),
"content_len": len(content),
"finish_reason": resp.Choices[0].FinishReason,
}).Debug("Completion request successful")
return content, nil
}
// --- Helper functions ---
// normalizeBaseURL ensures the base URL is properly formatted
func normalizeBaseURL(url string) string {
url = strings.TrimSpace(url)
url = strings.TrimRight(url, "/")
// Remove path components that will be added by the client
if strings.HasSuffix(url, "/chat/completions") {
url = strings.TrimSuffix(url, "/chat/completions")
}
return url
}
// isOpenRouter checks if the base URL is for OpenRouter
func isOpenRouter(baseURL string) bool {
return strings.Contains(strings.ToLower(baseURL), OpenRouterDomain)
}
// createOpenRouterHTTPClient creates an HTTP client with headers for OpenRouter
func createOpenRouterHTTPClient() *http.Client {
transport := http.DefaultTransport.(*http.Transport).Clone()
return &http.Client{
Transport: &openRouterTransport{
base: transport,
},
}
}
// openRouterTransport is a custom transport that adds OpenRouter-specific headers
type openRouterTransport struct {
base http.RoundTripper
}
// RoundTrip adds OpenRouter headers to requests
func (t *openRouterTransport) RoundTrip(req *http.Request) (*http.Response, error) {
// Add OpenRouter-specific headers
req.Header.Set("HTTP-Referer", "https://github.com/")
req.Header.Set("X-Title", "vetrag-app")
return t.base.RoundTrip(req)
}
// cleanJSONResponse cleans up a response to ensure valid JSON
func cleanJSONResponse(content string, isJSON bool) string {
// If not expecting JSON, just return the trimmed content
if !isJSON {
return strings.TrimSpace(content)
}
// Remove any markdown code block markers
content = strings.TrimPrefix(content, "```json")
content = strings.TrimPrefix(content, "```")
content = strings.TrimSuffix(content, "```")
content = strings.TrimSpace(content)
// If we expect JSON, make sure it ends properly
if idx := strings.LastIndex(content, "}"); idx >= 0 && idx < len(content)-1 {
// Only take up to the closing brace plus one character
content = content[:idx+1]
}
return content
}