changing to use openrouter

This commit is contained in:
2026-04-04 21:00:30 -03:00
parent a860bb8921
commit d0543544f8
6 changed files with 31 additions and 163 deletions

View File

@@ -1,14 +1,9 @@
GIT_REPOSITORY=https://git.url/user/repo.git
OPENAI_API_KEY=openai_api_key
GEMINI_API_KEY=gemini_api_key
DISCORD_WEBHOOK_URL=discord_webhook_channel_url
# LLM provider per agent function ("openai" or "gemini", defaults to "openai")
SUMMARY_CREATOR_PROVIDER=gemini
SUMMARY_FORMATTER_PROVIDER=openai
# LLM models
GEMINI_MODEL=gemini-3-flash-preview
OPENAI_MODEL=gpt-5-mini
# OpenAI-compatible provider (e.g. OpenRouter)
OPENAI_API_URL=https://openrouter.ai/api/v1
OPENAI_TOKEN=your_token_here
OPENAI_MODEL=openai/gpt-5.4-mini
TOP_N_FILES=10

View File

@@ -22,16 +22,15 @@ spec:
secretKeyRef:
name: mindforge-secrets
key: GIT_REPOSITORY
- name: GEMINI_API_KEY
- name: OPENAI_TOKEN
valueFrom:
secretKeyRef:
name: mindforge-secrets
key: GEMINI_API_KEY
- name: OPENAI_API_KEY
valueFrom:
secretKeyRef:
name: mindforge-secrets
key: OPENAI_API_KEY
key: OPENAI_TOKEN
- name: OPENAI_API_URL
value: https://openrouter.ai/api/v1
- name: OPENAI_MODEL
value: openai/gpt-5.4-mini
- name: DISCORD_WEBHOOK_URL
valueFrom:
secretKeyRef:
@@ -42,14 +41,6 @@ spec:
secretKeyRef:
name: mindforge-secrets
key: HAVEN_NOTIFY_URL
- name: SUMMARY_CREATOR_PROVIDER
value: gemini
- name: SUMMARY_FORMATTER_PROVIDER
value: openai
- name: GEMINI_MODEL
value: gemini-3-flash-preview
- name: OPENAI_MODEL
value: gpt-5-mini
- name: TOP_N_FILES
value: "10"
- name: LAST_N_DAYS

View File

@@ -2,50 +2,11 @@ package agent
import (
"fmt"
"os"
"path/filepath"
"strings"
"mindforge.cronjob/internal/llm"
)
// Provider represents the LLM provider to use.
type Provider string
const (
ProviderOpenAI Provider = "openai"
ProviderGemini Provider = "gemini"
)
// providerFromEnv reads the provider for a given agent from an env var,
// defaulting to OpenAI if not set or unrecognised.
func providerFromEnv(envKey string) Provider {
val := strings.ToLower(strings.TrimSpace(os.Getenv(envKey)))
if val == string(ProviderGemini) {
return ProviderGemini
}
return ProviderOpenAI
}
// send routes the request to the given LLM provider.
func send(provider Provider, systemPrompt, userPrompt string) (string, error) {
llmService := llm.NewLLMService()
switch provider {
case ProviderGemini:
geminiModel := os.Getenv("GEMINI_MODEL")
if geminiModel == "" {
geminiModel = "gemini-3.1-flash-lite-preview"
}
return llmService.SendGeminiRequest(systemPrompt, userPrompt, geminiModel)
default:
openaiModel := os.Getenv("OPENAI_MODEL")
if openaiModel == "" {
openaiModel = "gpt-5-mini"
}
return llmService.SendOpenAIRequest(systemPrompt, userPrompt, openaiModel)
}
}
// SummaryCreatorAgent creates a summary of the git diff for a specific file.
func SummaryCreatorAgent(filePath, gitDiff string) (string, error) {
fileName := filepath.Base(filePath)
@@ -66,7 +27,7 @@ Responda sempre em Português do Brasil (pt-BR).`
userPrompt := fmt.Sprintf("Caminho do arquivo: %s\nPasta (Assunto Principal): %s\nArquivo (Assunto Específico): %s\n\nGit Diff:\n%s", filePath, folderName, fileName, gitDiff)
return send(providerFromEnv("SUMMARY_CREATOR_PROVIDER"), systemPrompt, userPrompt)
return llm.NewLLMService().Send(systemPrompt, userPrompt)
}
// SummaryFormatterAgent formats a plain text summary into Markdown.
@@ -82,5 +43,5 @@ Regras de formatação:
Responda sempre em Português do Brasil (pt-BR).`
return send(providerFromEnv("SUMMARY_FORMATTER_PROVIDER"), systemPrompt, summary)
return llm.NewLLMService().Send(systemPrompt, summary)
}

View File

@@ -1,86 +0,0 @@
package llm
import (
"bytes"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strings"
"time"
)
func (s *llmService) SendGeminiRequest(systemPrompt string, userPrompt string, model string) (string, error) {
apiKey := getEnvConfig("GEMINI_API_KEY")
if apiKey == "" {
return "", errors.New("GEMINI_API_KEY not found in .env or environment")
}
apiBase := "https://generativelanguage.googleapis.com/v1beta"
url := fmt.Sprintf("%s/models/%s:generateContent?key=%s", strings.TrimRight(apiBase, "/"), model, apiKey)
reqBody := map[string]interface{}{}
if systemPrompt != "" {
reqBody["system_instruction"] = map[string]interface{}{
"parts": []map[string]string{
{"text": systemPrompt},
},
}
}
reqBody["contents"] = []map[string]interface{}{
{
"role": "user",
"parts": []map[string]string{
{"text": userPrompt},
},
},
}
jsonBody, err := json.Marshal(reqBody)
if err != nil {
return "", err
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonBody))
if err != nil {
return "", err
}
req.Header.Set("Content-Type", "application/json")
client := &http.Client{Timeout: 120 * time.Second}
resp, err := client.Do(req)
if err != nil {
return "", err
}
defer resp.Body.Close()
bodyBytes, err := io.ReadAll(resp.Body)
if err != nil {
return "", err
}
if resp.StatusCode != http.StatusOK {
return "", fmt.Errorf("Gemini API error status %d: %s", resp.StatusCode, string(bodyBytes))
}
var result struct {
Candidates []struct {
Content struct {
Parts []struct {
Text string `json:"text"`
} `json:"parts"`
} `json:"content"`
} `json:"candidates"`
}
if err := json.Unmarshal(bodyBytes, &result); err != nil {
return "", err
}
if len(result.Candidates) > 0 && len(result.Candidates[0].Content.Parts) > 0 {
return result.Candidates[0].Content.Parts[0].Text, nil
}
return "", errors.New("empty response from Gemini API")
}

View File

@@ -6,8 +6,7 @@ import (
// Service defines the interface for connecting to LLMs
type Service interface {
SendOpenAIRequest(systemPrompt string, userPrompt string, model string) (string, error)
SendGeminiRequest(systemPrompt string, userPrompt string, model string) (string, error)
Send(systemPrompt string, userPrompt string) (string, error)
}
type llmService struct{}

View File

@@ -11,15 +11,23 @@ import (
"time"
)
func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, model string) (string, error) {
apiKey := getEnvConfig("OPENAI_API_KEY")
if apiKey == "" {
return "", errors.New("OPENAI_API_KEY not found in .env or environment")
func (s *llmService) Send(systemPrompt string, userPrompt string) (string, error) {
apiURL := getEnvConfig("OPENAI_API_URL")
if apiURL == "" {
return "", errors.New("OPENAI_API_URL not found in environment")
}
apiBase := "https://api.openai.com/v1"
token := getEnvConfig("OPENAI_TOKEN")
if token == "" {
return "", errors.New("OPENAI_TOKEN not found in environment")
}
url := fmt.Sprintf("%s/chat/completions", strings.TrimRight(apiBase, "/"))
model := getEnvConfig("OPENAI_MODEL")
if model == "" {
return "", errors.New("OPENAI_MODEL not found in environment")
}
url := fmt.Sprintf("%s/chat/completions", strings.TrimRight(apiURL, "/"))
reqBody := map[string]interface{}{
"model": model,
@@ -42,7 +50,7 @@ func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, m
return "", err
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+apiKey)
req.Header.Set("Authorization", "Bearer "+token)
client := &http.Client{Timeout: 120 * time.Second}
resp, err := client.Do(req)
@@ -62,7 +70,7 @@ func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, m
}
if resp.StatusCode != http.StatusOK {
lastErr = fmt.Errorf("OpenAI API error status %d: %s", resp.StatusCode, string(bodyBytes))
lastErr = fmt.Errorf("API error status %d: %s", resp.StatusCode, string(bodyBytes))
time.Sleep(time.Second * time.Duration(1<<i))
continue
}
@@ -81,8 +89,8 @@ func (s *llmService) SendOpenAIRequest(systemPrompt string, userPrompt string, m
if len(result.Choices) > 0 {
return result.Choices[0].Message.Content, nil
}
return "", errors.New("empty response from OpenAI API")
return "", errors.New("empty response from API")
}
return "", fmt.Errorf("failed to get OpenAI response after 5 attempts. Last error: %v", lastErr)
return "", fmt.Errorf("failed to get response after 5 attempts. Last error: %v", lastErr)
}