package lua import ( "encoding/json" "os" "path/filepath" "strings" "testing" ) // freshAdapterDir returns a path under a temp dir that does not exist yet, so // VM.Start() treats it as first-run and seeds the bundled adapters. func freshAdapterDir(t *testing.T) string { t.Helper() return filepath.Join(t.TempDir(), "adapters") } func TestLoadBundledAdapters(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatalf("start: %v", err) } defer vm.Stop() adapters := vm.ListAdapters() if len(adapters) == 0 { t.Fatal("no adapters loaded") } names := map[string]bool{} for _, a := range adapters { names[a.Name] = true } for _, want := range []string{"openai", "deepseek", "anthropic", "gemini", "ollama", "kimicode", "opencode"} { if !names[want] { t.Errorf("missing adapter %s (got %v)", want, names) } } } func TestFirstRunSeedsEveryBundledAdapter(t *testing.T) { dir := filepath.Join(t.TempDir(), "adapters") vm := NewVM(dir) if err := vm.Start(); err != nil { t.Fatalf("start: %v", err) } defer vm.Stop() // every embedded .lua must have been copied out (and no extra, non-.lua files) embedded, err := bundledAdapters.ReadDir("adapters") if err != nil { t.Fatal(err) } seeded := 0 for _, e := range embedded { if e.IsDir() || !strings.HasSuffix(e.Name(), ".lua") { continue } seeded++ if _, err := os.Stat(filepath.Join(dir, e.Name())); err != nil { t.Errorf("embedded adapter %s not seeded", e.Name()) } } if seeded == 0 { t.Fatal("no embedded adapters found") } written := 0 entries, _ := os.ReadDir(dir) for _, e := range entries { if !e.IsDir() && strings.HasSuffix(e.Name(), ".lua") { written++ } } if written != seeded { t.Fatalf("seeded %d files but %d embedded adapters exist", written, seeded) } // re-start with the existing dir: authoritative, never rewritten vm2 := NewVM(dir) if err := vm2.Start(); err != nil { t.Fatalf("second start: %v", err) } defer vm2.Stop() } func TestTransformRequest(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() out, err := vm.Transform("openai", "transform_request", `{"model":"x","disable_thinking":true,"messages":[]}`) if err != nil { t.Fatalf("transform: %v", err) } if strings.Contains(out, "disable_thinking") { t.Fatalf("disable_thinking not stripped: %s", out) } } func TestBuildHeadersFallbackStatic(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() hdrs, err := vm.BuildHeaders("anthropic", nil) if err != nil { t.Fatalf("build headers: %v", err) } if hdrs["anthropic-version"] != "2023-06-01" { t.Fatalf("static header missing: %v", hdrs) } } func TestOpenCodeAdapterFingerprint(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() hdrs, err := vm.BuildHeaders("opencode", map[string]interface{}{ "api_key": "public", "timestamp": 1700000000, "body": `{"model":"x"}`, "url": "https://opencode.ai/zen/v1/chat/completions", "method": "POST", }) if err != nil { t.Fatalf("build headers: %v", err) } // zen 按客户端指纹路由请求池:UA 必须是 opencode 真实格式, // 且必须携带 x-opencode-* 身份头,否则带 tools 的请求会被上游 // 判为匿名客户端并返回 network_error 空流(表现为空回复)。 if ua := hdrs["User-Agent"]; !strings.HasPrefix(ua, "opencode/") || !strings.Contains(ua, "ai-sdk/provider-utils/") { t.Fatalf("opencode adapter must send the real opencode client UA, got %q", ua) } for _, h := range []string{"x-opencode-client", "x-opencode-project", "x-opencode-session", "x-opencode-request"} { if hdrs[h] == "" { t.Fatalf("opencode adapter must send %q (zen client fingerprint), got %v", h, hdrs) } } hdrs2, _ := vm.BuildHeaders("opencode", map[string]interface{}{"api_key": "public", "timestamp": 1700000001, "body": `{"model":"y"}`, "method": "POST"}) if hdrs["x-opencode-request"] == hdrs2["x-opencode-request"] { t.Fatalf("x-opencode-request must vary per request, got %q twice", hdrs["x-opencode-request"]) } if hdrs["Authorization"] != "" { t.Fatalf("opencode adapter must not hardcode Authorization (config api_key supplies it), got %q", hdrs["Authorization"]) } // passthrough behaves like the openai adapter out, err := vm.Transform("opencode", "transform_request", `{"model":"x","disable_thinking":true,"extra_body":{},"messages":[{"role":"user","content":"hi"}]}`) if err != nil { t.Fatal(err) } if strings.Contains(out, "disable_thinking") || strings.Contains(out, "extra_body") { t.Fatalf("opencode transform_request must strip provider fields: %s", out) } } func TestOpenCodeNormalizesRoles(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() // zen 上游只接受 system/user/assistant/tool/latest_reminder; // OpenAI 系客户端发 `developer`(Claude Code 还会用 `function`)必须归一化成 system。 body := `{"model":"x","messages":[ {"role":"developer","content":"you are helpful"}, {"role":"system","content":"sys"}, {"role":"user","content":"hi"}, {"role":"assistant","content":"ok"}, {"role":"tool","tool_call_id":"t1","content":"{\"ok\":true}"} ]}` out, err := vm.Transform("opencode", "transform_request", body) if err != nil { t.Fatal(err) } if strings.Contains(out, `"developer"`) { t.Fatalf("developer role must be normalized: %s", out) } if !strings.Contains(out, `"system"`) || !strings.Contains(out, `"user"`) { t.Fatalf("allowed roles must survive: %s", out) } if !strings.Contains(out, `"assistant"`) { t.Fatalf("assistant role must survive: %s", out) } if !strings.Contains(out, `"tool"`) { t.Fatalf("tool role must survive: %s", out) } } func TestOpenCodeStripsMultiModalParts(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() body := `{"model":"x","messages":[ {"role":"user","content":[ {"type":"text","text":"describe"}, {"type":"image_url","image_url":{"url":"data:image/png;base64,QUJD"}}, {"type":"input_audio","input_audio":{"data":"QQ","format":"wav"}} ]}, {"role":"user","content":[{"type":"image_url","image_url":{"url":"https://ex.com/a.png"}}]}, {"role":"assistant","content":"plain"} ]}` out, err := vm.Transform("opencode", "transform_request", body) if err != nil { t.Fatal(err) } if strings.Contains(out, "image_url") || strings.Contains(out, "input_audio") { t.Fatalf("opencode must strip multimodal parts: %s", out) } if !strings.Contains(out, "describe") { t.Fatalf("text parts must survive: %s", out) } // image-only message dropped: only the text message and plain assistant message remain if got := strings.Count(out, `"role"`); got != 2 { t.Fatalf("image-only message must be dropped, got %d messages: %s", got, out) } } func TestBuildHeadersCustomHook(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() hdrs, err := vm.BuildHeaders("kimicode", map[string]interface{}{ "timestamp": int64(12345), "api_key": "k", "body": "{}", "method": "POST", "url": "http://x/chat", "source": map[string]interface{}{"meta": map[string]interface{}{ "app_id": "app-9", "app_secret": "s", "api_key": "k", }}, }) if err != nil { t.Fatalf("build headers: %v", err) } if hdrs["X-App-Id"] != "app-9" { t.Fatalf("x-app-id = %q", hdrs["X-App-Id"]) } if hdrs["X-App-Sign"] == "" { t.Fatal("expected signature header") } if hdrs["X-Timestamp"] != "12345" { t.Fatalf("timestamp = %q", hdrs["X-Timestamp"]) } } func TestDisableThinkingPassthrough(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() body := `{"model":"x","disable_thinking":true,"messages":[{"role":"user","content":"hi"}]}` out, err := vm.Transform("deepseek", "transform_request", body) if err != nil { t.Fatalf("deepseek transform: %v", err) } var req struct { ExtraBody map[string]interface{} `json:"extra_body"` } if err := json.Unmarshal([]byte(out), &req); err != nil { t.Fatalf("unmarshal: %v (%s)", err, out) } thinking, ok := req.ExtraBody["thinking"].(map[string]interface{}) if !ok { t.Fatalf("deepseek should emit extra_body.thinking on disable_thinking: %s", out) } if thinking["type"] != "disabled" { t.Fatalf("thinking.type = %v", thinking["type"]) } // anthropic: disable_thinking removes the thinking block out2, err := vm.Transform("anthropic", "transform_request", body) if err != nil { t.Fatalf("anthropic transform: %v", err) } if strings.Contains(out2, "thinking") { t.Fatalf("anthropic should drop thinking when disable_thinking: %s", out2) } out3, err := vm.Transform("anthropic", "transform_request", `{"model":"x","messages":[{"role":"user","content":"hi"}]}`) if err != nil { t.Fatalf("anthropic transform: %v", err) } if !strings.Contains(out3, "enabled") { t.Fatalf("anthropic should enable thinking by default: %s", out3) } } func TestMultimodalTransform(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() body := `{"model":"x","messages":[{"role":"user","content":[ {"type":"text","text":"what is this?"}, {"type":"image_url","image_url":{"url":"data:image/png;base64,QUJD"}}, {"type":"image_url","image_url":{"url":"https://ex.com/a.png"}} ]}]}` // anthropic: image_url -> image block (base64/url), text preserved out, err := vm.Transform("anthropic", "transform_request", body) if err != nil { t.Fatalf("anthropic: %v", err) } for _, want := range []string{`"media_type":"image/png"`, `"data":"QUJD"`, `"type":"url","url":"https://ex.com/a.png"`, `"what is this?"`} { if !strings.Contains(out, want) { t.Fatalf("anthropic multimodal missing %s: %s", want, out) } } // gemini: image_url -> inline_data gout, err := vm.Transform("gemini", "transform_request", body) if err != nil { t.Fatalf("gemini: %v", err) } var g struct { Contents []struct { Parts []map[string]interface{} `json:"parts"` } `json:"contents"` } if err := json.Unmarshal([]byte(gout), &g); err != nil { t.Fatalf("gemini unmarshal: %v", err) } if len(g.Contents) == 0 { t.Fatalf("gemini no contents") } var found bool for _, p := range g.Contents[0].Parts { if v, ok := p["inline_data"].(map[string]interface{}); ok && v["data"] == "QUJD" && v["mime_type"] == "image/png" { found = true } } if !found { t.Fatalf("gemini missing inline_data image: %s", gout) } // ollama: image_url -> images base64 array out, err = vm.Transform("ollama", "transform_request", body) if err != nil { t.Fatalf("ollama: %v", err) } if !strings.Contains(out, `"images":["QUJD"]`) { t.Fatalf("ollama multimodal missing images: %s", out) } // openai passthrough keeps the content array intact po, _ := vm.Transform("openai", "transform_request", body) if !strings.Contains(po, `"image_url"`) || !strings.Contains(po, `,QUJD"`) { t.Fatalf("openai passthrough lost multimodal content: %s", po) } } func TestOpenCodeAdapterNormalizesDeveloperRole(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatalf("start: %v", err) } defer vm.Stop() raw := `{"model":"zen","messages":[` + `{"role":"developer","content":"be concise"},` + `{"role":"user","content":"hi"},` + `{"role":"assistant","content":"hello"},` + `{"role":"function","content":"{\"a\":1}"},` + `{"role":"latest_reminder","content":"remind"}]}` out, err := vm.Transform("opencode", "transform_request", raw) if err != nil { t.Fatalf("transform_request: %v", err) } var req struct { Messages []struct { Role string `json:"role"` } `json:"messages"` } if err := json.Unmarshal([]byte(out), &req); err != nil { t.Fatalf("output not JSON: %v\n%s", err, out) } want := []string{"system", "user", "assistant", "system", "latest_reminder"} if len(req.Messages) != len(want) { t.Fatalf("got %d messages, want %d: %s", len(req.Messages), len(want), out) } for i, w := range want { if req.Messages[i].Role != w { t.Errorf("message %d role = %q, want %q", i, req.Messages[i].Role, w) } } } func TestOpenCodeAdapterKeepsWhitelistedRolesAndDropsMultimodal(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatalf("start: %v", err) } defer vm.Stop() raw := `{"messages":[` + `{"role":"system","content":"sys"},` + `{"role":"user","content":[{"type":"text","text":"keep"},{"type":"image_url","url":"x"}]},` + `{"role":"user","content":[{"type":"image_url","url":"x"}]}]}` out, err := vm.Transform("opencode", "transform_request", raw) if err != nil { t.Fatalf("transform_request: %v", err) } var req struct { Messages []struct { Role string `json:"role"` Content any `json:"content"` } `json:"messages"` } if err := json.Unmarshal([]byte(out), &req); err != nil { t.Fatalf("output not JSON: %v\n%s", err, out) } if len(req.Messages) != 2 { t.Fatalf("got %d messages, want 2 (multimodal-only dropped): %s", len(req.Messages), out) } if req.Messages[0].Role != "system" || req.Messages[1].Role != "user" { t.Fatalf("unexpected roles: %s", out) } } func TestAdaptersPassFinishReason(t *testing.T) { vm := NewVM(freshAdapterDir(t)) if err := vm.Start(); err != nil { t.Fatal(err) } defer vm.Stop() // OpenAI-style chunk with a real finish reason must surface finish_reason // and done=true; an empty-string finish_reason (sensenova sends "" on // every chunk) must NOT terminate the stream. chunk := `{"choices":[{"index":0,"finish_reason":"tool_calls","delta":{"content":""}}]}` empty := `{"choices":[{"index":0,"finish_reason":"","delta":{"content":"x"}}]}` for _, name := range []string{"openai", "deepseek", "github", "groq", "kimicode", "mistral", "opencode"} { out, err := vm.Transform(name, "transform_stream_chunk", chunk) if err != nil { t.Fatalf("%s: %v", name, err) } if !strings.Contains(out, `"finish_reason":"tool_calls"`) { t.Fatalf("%s: finish_reason lost: %s", name, out) } if !strings.Contains(out, `"done":true`) { t.Fatalf("%s: done not set on real finish: %s", name, out) } out, err = vm.Transform(name, "transform_stream_chunk", empty) if err != nil { t.Fatalf("%s: %v", name, err) } if strings.Contains(out, `"done":true`) { t.Fatalf("%s: empty finish_reason must not end stream: %s", name, out) } } }