refactor(runner): rename openrouter package to llmclient

internal/runner/llm_source.go

@@ -13,7 +13,7 @@ import (
 	"log/slog"
 	"strings"
 
-	"github.com/priyanshujain/sanderling/internal/openrouter"
+	"github.com/priyanshujain/sanderling/internal/llmclient"
 	"github.com/priyanshujain/sanderling/internal/trace"
 	"github.com/priyanshujain/sanderling/internal/verifier"
 )
@@ -36,14 +36,14 @@ const (
 // candidates the system already enumerated; it never invents actions.
 const llmSystemPrompt = "You are exploring this app to surface bugs. Choose the most useful next action from the numbered candidates. Avoid repeating recent actions; prefer progress into new screens. Return only your ranked choices."
 
-// llmSource selects each step's action with an OpenRouter model instead of the
-// seeded random pick. It replaces ONLY the pick: the candidate list, the input
+// llmSource selects each step's action with an OpenAI-compatible vision model
+// instead of the seeded random pick. It replaces ONLY the pick: the candidate list, the input
 // values, and action execution are all reused unchanged. The spec's JS setup
 // still runs first each tick (setup precedence), and the LLM drives once setup
 // yields nothing.
 type llmSource struct {
 	verifier *verifier.Verifier
-	client   *openrouter.Client
+	client   *llmclient.Client
 	model    string
 	logger   *slog.Logger
 	history  *actionHistory
@@ -126,17 +126,17 @@ func (s *llmSource) selectViaLLM(ctx context.Context) (verifier.Action, string,
 // buildRequest assembles the one-shot multimodal request: a system frame, the
 // numbered candidate list plus recent-action memory, and the downscaled
 // screenshot. The strict json_schema response format pins the ranked output.
-func (s *llmSource) buildRequest(candidates []verifier.ActionCandidate) openrouter.Request {
-	userParts := []openrouter.ContentPart{openrouter.TextPart(s.userPrompt(candidates))}
+func (s *llmSource) buildRequest(candidates []verifier.ActionCandidate) llmclient.Request {
+	userParts := []llmclient.ContentPart{llmclient.TextPart(s.userPrompt(candidates))}
 	if screenshot := s.verifier.Screenshot(); len(screenshot) > 0 {
 		if dataURL, ok := screenshotDataURL(screenshot, llmMaxImageEdge); ok {
-			userParts = append(userParts, openrouter.ImagePart(dataURL))
+			userParts = append(userParts, llmclient.ImagePart(dataURL))
 		}
 	}
-	return openrouter.Request{
+	return llmclient.Request{
 		Model: s.model,
-		Messages: []openrouter.Message{
-			{Role: "system", Content: []openrouter.ContentPart{openrouter.TextPart(llmSystemPrompt)}},
+		Messages: []llmclient.Message{
+			{Role: "system", Content: []llmclient.ContentPart{llmclient.TextPart(llmSystemPrompt)}},
 			{Role: "user", Content: userParts},
 		},
 		ResponseFormat: rankedResponseFormat(),
@@ -166,10 +166,10 @@ func (s *llmSource) userPrompt(candidates []verifier.ActionCandidate) string {
 
 // rankedResponseFormat is the strict structured-output schema: a short
 // reasoning string and a ranked list of candidate indices.
-func rankedResponseFormat() *openrouter.ResponseFormat {
-	return &openrouter.ResponseFormat{
+func rankedResponseFormat() *llmclient.ResponseFormat {
+	return &llmclient.ResponseFormat{
 		Type: "json_schema",
-		JSONSchema: openrouter.JSONSchema{
+		JSONSchema: llmclient.JSONSchema{
 			Name:   "ranked_actions",
 			Strict: true,
 			Schema: map[string]any{

internal/runner/llm_source_test.go

@@ -16,7 +16,7 @@ import (
 	"testing"
 
 	"github.com/priyanshujain/sanderling/internal/hierarchy"
-	"github.com/priyanshujain/sanderling/internal/openrouter"
+	"github.com/priyanshujain/sanderling/internal/llmclient"
 	"github.com/priyanshujain/sanderling/internal/verifier"
 )
 
@@ -157,8 +157,8 @@ func newFakeOpenRouter(t *testing.T) *fakeOpenRouter {
 		body, _ := io.ReadAll(r.Body)
 		_ = json.Unmarshal(body, &fake.lastRequest)
 		content, _ := json.Marshal(map[string]any{"reasoning": fake.reasoning, "ranked": fake.ranked})
-		response, _ := json.Marshal(openrouter.Response{
-			Choices: []openrouter.Choice{{Message: openrouter.ResponseMessage{Content: string(content)}}},
+		response, _ := json.Marshal(llmclient.Response{
+			Choices: []llmclient.Choice{{Message: llmclient.ResponseMessage{Content: string(content)}}},
 		})
 		w.Header().Set("Content-Type", "application/json")
 		_, _ = w.Write(response)
@@ -171,9 +171,9 @@ func newLLMSource(t *testing.T, fake *fakeOpenRouter) (*llmSource, *verifier.Ver
 	t.Helper()
 	t.Setenv("OPENROUTER_API_KEY", "test-key")
 	t.Setenv("OPENROUTER_BASE_URL", fake.server.URL)
-	client, err := openrouter.New()
+	client, err := llmclient.New()
 	if err != nil {
-		t.Fatalf("openrouter.New: %v", err)
+		t.Fatalf("llmclient.New: %v", err)
 	}
 
 	verifierInstance, err := verifier.New()

internal/runner/source.go

@@ -7,7 +7,7 @@ import (
 	"log/slog"
 
 	"github.com/priyanshujain/sanderling/internal/driver"
-	"github.com/priyanshujain/sanderling/internal/openrouter"
+	"github.com/priyanshujain/sanderling/internal/llmclient"
 	"github.com/priyanshujain/sanderling/internal/verifier"
 )
 
@@ -65,15 +65,16 @@ func (s webSource) ExtractorOverrides(ctx context.Context) (map[int]json.RawMess
 // pickSources selects the runtime's action and extractor sources ONCE at setup
 // from the driver's capabilities and the spec, so the step loop never
 // type-asserts. When the spec selected the LLM action backend (actions =
-// llm({...})) it constructs the OpenRouter client and returns an llmSource for
-// selection while extractor overrides still come from the goja path.
+// llm({...})) it constructs the chat-completions client and returns an
+// llmSource for selection while extractor overrides still come from the goja
+// path.
 func pickSources(options Options) (ActionSource, ExtractorSource, error) {
 	if web, ok := options.Driver.(driver.WebDriver); ok {
 		source := webSource{web: web}
 		return source, source, nil
 	}
 	if config, ok := options.Verifier.LLMConfig(); ok {
-		client, err := openrouter.New()
+		client, err := llmclient.New()
 		if err != nil {
 			return nil, nil, fmt.Errorf("llm action backend: %w", err)
 		}