refactor(integrations): rename gemini package to provider-neutral ai (closes #68)

cmd/simili-web/main.go

@@ -17,7 +17,7 @@ import (
 
 	"github.com/similigh/simili-bot/internal/core/config"
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	"github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 	"github.com/similigh/simili-bot/internal/steps"
@@ -115,7 +115,7 @@ func initDependencies(cfg *config.Config) (*pipeline.Dependencies, error) {
 	}
 
 	// Embedder (Gemini/OpenAI auto-selected by available keys)
-	embedder, err := gemini.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
+	embedder, err := ai.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
 	if err != nil {
 		return nil, fmt.Errorf("failed to init embedder: %w", err)
 	}
@@ -151,7 +151,7 @@ func initDependencies(cfg *config.Config) (*pipeline.Dependencies, error) {
 	if envModel := os.Getenv("LLM_MODEL"); envModel != "" {
 		llmModel = envModel
 	}
-	llm, err := gemini.NewLLMClient(llmKey, llmModel)
+	llm, err := ai.NewLLMClient(llmKey, llmModel)
 	if err != nil {
 		return nil, fmt.Errorf("failed to init LLM: %w", err)
 	}

cmd/simili/commands/batch.go

@@ -21,7 +21,7 @@ import (
 
 	"github.com/similigh/simili-bot/internal/core/config"
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	"github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 )
@@ -281,7 +281,7 @@ func initializeDependencies(cfg *config.Config) (*pipeline.Dependencies, error)
 	deps := &pipeline.Dependencies{}
 
 	// Initialize Embedder (Gemini/OpenAI auto-selected by available keys)
-	embedder, err := gemini.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
+	embedder, err := ai.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
 	if err != nil {
 		return nil, fmt.Errorf("failed to initialize embedder: %w", err)
 	}
@@ -338,7 +338,7 @@ func initializeDependencies(cfg *config.Config) (*pipeline.Dependencies, error)
 	if envModel := os.Getenv("LLM_MODEL"); envModel != "" {
 		llmModel = envModel
 	}
-	llm, err := gemini.NewLLMClient(llmKey, llmModel)
+	llm, err := ai.NewLLMClient(llmKey, llmModel)
 	if err != nil {
 		return nil, fmt.Errorf("failed to initialize LLM client: %w", err)
 	}

cmd/simili/commands/index.go

@@ -17,7 +17,7 @@ import (
 	"github.com/google/go-github/v60/github"
 	"github.com/google/uuid"
 	similiConfig "github.com/similigh/simili-bot/internal/core/config"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	similiGithub "github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 	"github.com/similigh/simili-bot/internal/utils/text"
@@ -89,13 +89,13 @@ func runIndex(cmd *cobra.Command, args []string) {
 
 	ghClient := similiGithub.NewClient(ctx, token)
 
-	geminiClient, err := gemini.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
+	embedder, err := ai.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
 	if err != nil {
 		log.Fatalf("Failed to init embedder: %v", err)
 	}
-	defer geminiClient.Close()
+	defer embedder.Close()
 	embeddingDimensions := cfg.Embedding.Dimensions
-	if dim := geminiClient.Dimensions(); dim > 0 {
+	if dim := embedder.Dimensions(); dim > 0 {
 		embeddingDimensions = dim
 	}
 
@@ -144,7 +144,7 @@ func runIndex(cmd *cobra.Command, args []string) {
 		go func(id int) {
 			defer wg.Done()
 			for job := range jobs {
-				processIssue(ctx, id, job.Issue, ghClient, geminiClient, qdrantClient, splitter, cfg.Qdrant.Collection, org, repoName, indexDryRun)
+				processIssue(ctx, id, job.Issue, ghClient, embedder, qdrantClient, splitter, cfg.Qdrant.Collection, org, repoName, indexDryRun)
 			}
 		}(i)
 	}
@@ -198,7 +198,7 @@ func runIndex(cmd *cobra.Command, args []string) {
 	log.Println("Indexing complete.")
 }
 
-func processIssue(ctx context.Context, workerID int, issue *github.Issue, gh *similiGithub.Client, em *gemini.Embedder, qd *qdrant.Client, splitter *text.RecursiveCharacterSplitter, collection, org, repo string, dryRun bool) {
+func processIssue(ctx context.Context, workerID int, issue *github.Issue, gh *similiGithub.Client, em *ai.Embedder, qd *qdrant.Client, splitter *text.RecursiveCharacterSplitter, collection, org, repo string, dryRun bool) {
 	// 1. Fetch Comments (with pagination)
 	var allComments []*github.IssueComment
 	page := 1

cmd/simili/commands/learn.go

@@ -16,7 +16,7 @@ import (
 	"time"
 
 	similiConfig "github.com/similigh/simili-bot/internal/core/config"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	similiGithub "github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 	"github.com/spf13/cobra"
@@ -89,7 +89,7 @@ func runLearn(cmd *cobra.Command, args []string) {
 	ghClient := similiGithub.NewClient(ctx, token)
 
 	// 3. Initialize Embedder
-	embedder, err := gemini.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
+	embedder, err := ai.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
 	if err != nil {
 		log.Fatalf("Failed to initialize embedder: %v", err)
 	}

cmd/simili/commands/process.go

@@ -18,7 +18,7 @@ import (
 
 	"github.com/similigh/simili-bot/internal/core/config"
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	"github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 )
@@ -204,7 +204,7 @@ func runProcess() {
 
 	// Initialize clients with error logging
 	// Embedder
-	embedder, err := gemini.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
+	embedder, err := ai.NewEmbedder(cfg.Embedding.APIKey, cfg.Embedding.Model)
 	if err == nil {
 		deps.Embedder = embedder
 		if verbose {
@@ -262,7 +262,7 @@ func runProcess() {
 	if envModel := os.Getenv("LLM_MODEL"); envModel != "" {
 		llmModel = envModel
 	}
-	llm, err := gemini.NewLLMClient(llmKey, llmModel)
+	llm, err := ai.NewLLMClient(llmKey, llmModel)
 	if err == nil {
 		deps.LLMClient = llm
 		if verbose {

internal/core/pipeline/registry.go

@@ -10,7 +10,7 @@ import (
 	"fmt"
 	"sync"
 
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	"github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 )
@@ -28,8 +28,8 @@ type StepFactory func(deps *Dependencies) (Step, error)
 
 // Dependencies holds the dependencies that can be injected into steps.
 type Dependencies struct {
-	Embedder    *gemini.Embedder
-	LLMClient   *gemini.LLMClient
+	Embedder    *ai.Embedder
+	LLMClient   *ai.LLMClient
 	VectorStore qdrant.VectorStore
 	GitHub      *github.Client
 	DryRun      bool

internal/integrations/gemini/embedder.go → internal/integrations/ai/embedder.go

@@ -3,12 +3,8 @@
 // Created: 2026-02-02
 // Last Modified: 2026-02-17
 
-// Package gemini provides AI integration for embeddings and LLM.
-//
-// TODO(2026-02-16): This package is named "gemini" for historical reasons, but it
-// now supports multiple providers (Gemini and OpenAI). Recommend renaming
-// directory/package to provider-neutral naming (for example `internal/integrations/ai`).
-package gemini
+// Package ai provides AI integration for embeddings and LLM.
+package ai
 
 import (
 	"context"

internal/integrations/gemini/llm.go → internal/integrations/ai/llm.go

@@ -3,7 +3,7 @@
 // Created: 2026-02-02
 // Last Modified: 2026-02-17
 
-package gemini
+package ai
 
 import (
 	"context"

internal/integrations/gemini/prompts.go → internal/integrations/ai/prompts.go

@@ -3,7 +3,7 @@
 // Created: 2026-02-02
 // Last Modified: 2026-02-05
 
-package gemini
+package ai
 
 import (
 	"fmt"

internal/integrations/gemini/gemini_test.go → internal/integrations/ai/prompts_test.go

@@ -3,7 +3,7 @@
 // Created: 2026-02-02
 // Last Modified: 2026-02-02
 
-package gemini
+package ai
 
 import (
 	"strings"

internal/integrations/gemini/provider.go → internal/integrations/ai/provider.go

@@ -1,4 +1,4 @@
-package gemini
+package ai
 
 import (
 	"bytes"

internal/integrations/gemini/provider_test.go → internal/integrations/ai/provider_test.go

@@ -1,4 +1,4 @@
-package gemini
+package ai
 
 import "testing"
 

internal/integrations/gemini/retry.go → internal/integrations/ai/retry.go

@@ -3,8 +3,8 @@
 // Created: 2026-02-15
 // Last Modified: 2026-02-17
 
-// Package gemini provides Gemini AI integration for embeddings and LLM.
-package gemini
+// Package ai provides provider-neutral AI integration for embeddings and LLM.
+package ai
 
 import (
 	"context"

internal/integrations/gemini/retry_test.go → internal/integrations/ai/retry_test.go

@@ -3,7 +3,7 @@
 // Created: 2026-02-15
 // Last Modified: 2026-02-17
 
-package gemini
+package ai
 
 import (
 	"context"

internal/steps/duplicate_detector.go

@@ -9,12 +9,12 @@ import (
 	"log"
 
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 )
 
 // DuplicateDetector analyzes similarity results for duplicates using LLM.
 type DuplicateDetector struct {
-	llm *gemini.LLMClient
+	llm *ai.LLMClient
 }
 
 // NewDuplicateDetector creates a new duplicate detector step.
@@ -60,9 +60,9 @@ func (s *DuplicateDetector) Run(ctx *pipeline.Context) error {
 		maxSimilar = len(ctx.SimilarIssues)
 	}
 
-	similarInput := make([]gemini.SimilarIssueInput, maxSimilar)
+	similarInput := make([]ai.SimilarIssueInput, maxSimilar)
 	for i := 0; i < maxSimilar; i++ {
-		similarInput[i] = gemini.SimilarIssueInput{
+		similarInput[i] = ai.SimilarIssueInput{
 			Number:     ctx.SimilarIssues[i].Number,
 			Title:      ctx.SimilarIssues[i].Title,
 			Body:       ctx.SimilarIssues[i].Body,
@@ -72,8 +72,8 @@ func (s *DuplicateDetector) Run(ctx *pipeline.Context) error {
 		}
 	}
 
-	input := &gemini.DuplicateCheckInput{
-		CurrentIssue: &gemini.IssueInput{
+	input := &ai.DuplicateCheckInput{
+		CurrentIssue: &ai.IssueInput{
 			Title:  ctx.Issue.Title,
 			Body:   ctx.Issue.Body,
 			Author: ctx.Issue.Author,

internal/steps/indexer.go

@@ -14,15 +14,15 @@ import (
 	"github.com/google/go-github/v60/github"
 	"github.com/google/uuid"
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	similiGithub "github.com/similigh/simili-bot/internal/integrations/github"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 	"github.com/similigh/simili-bot/internal/utils/text"
 )
 
 // Indexer adds/updates the issue in the vector database.
 type Indexer struct {
-	embedder *gemini.Embedder
+	embedder *ai.Embedder
 	store    qdrant.VectorStore
 	github   *similiGithub.Client
 	dryRun   bool

internal/steps/llm_router.go

@@ -10,14 +10,14 @@ import (
 	"log"
 
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 	"github.com/similigh/simili-bot/internal/integrations/qdrant"
 )
 
 // LLMRouter analyzes issue intent and routes to best repository using LLM.
 type LLMRouter struct {
-	llm      *gemini.LLMClient
-	embedder *gemini.Embedder
+	llm      *ai.LLMClient
+	embedder *ai.Embedder
 	store    qdrant.VectorStore
 }
 
@@ -64,14 +64,14 @@ func (s *LLMRouter) Run(ctx *pipeline.Context) error {
 	log.Printf("[llm_router] Analyzing issue #%d for routing", ctx.Issue.Number)
 
 	// Collect repository candidates (include current repo to allow "stay here" decision)
-	var candidates []gemini.RepositoryCandidate
+	var candidates []ai.RepositoryCandidate
 	currentRepo := fmt.Sprintf("%s/%s", ctx.Issue.Org, ctx.Issue.Repo)
 
 	for _, repo := range ctx.Config.Repositories {
 		if !repo.Enabled || repo.Description == "" {
 			continue
 		}
-		candidates = append(candidates, gemini.RepositoryCandidate{
+		candidates = append(candidates, ai.RepositoryCandidate{
 			Org:         repo.Org,
 			Repo:        repo.Repo,
 			Description: repo.Description,
@@ -171,8 +171,8 @@ func (s *LLMRouter) Run(ctx *pipeline.Context) error {
 	}
 
 	// Call LLM to route issue (reuse currentRepo from above)
-	input := &gemini.RouteIssueInput{
-		Issue: &gemini.IssueInput{
+	input := &ai.RouteIssueInput{
+		Issue: &ai.IssueInput{
 			Title:  ctx.Issue.Title,
 			Body:   ctx.Issue.Body,
 			Author: ctx.Issue.Author,

internal/steps/quality_checker.go

@@ -9,12 +9,12 @@ import (
 	"log"
 
 	"github.com/similigh/simili-bot/internal/core/pipeline"
-	"github.com/similigh/simili-bot/internal/integrations/gemini"
+	"github.com/similigh/simili-bot/internal/integrations/ai"
 )
 
 // QualityChecker assesses issue quality using LLM.
 type QualityChecker struct {
-	llm *gemini.LLMClient
+	llm *ai.LLMClient
 }
 
 // NewQualityChecker creates a new quality checker step.
@@ -42,7 +42,7 @@ func (s *QualityChecker) Run(ctx *pipeline.Context) error {
 
 	log.Printf("[quality_checker] Assessing quality for issue #%d", ctx.Issue.Number)
 
-	input := &gemini.IssueInput{
+	input := &ai.IssueInput{
 		Title:  ctx.Issue.Title,
 		Body:   ctx.Issue.Body,
 		Author: ctx.Issue.Author,