318 lines
14 KiB
Go
318 lines
14 KiB
Go
package llm
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import (
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"log/slog"
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"net/http"
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"net/http/httptest"
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"strings"
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"sync/atomic"
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"testing"
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"time"
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)
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// Сценарные тесты wire-контракта через httptest — стиль донора (реальные
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// HTTP-раундтрипы, не моки транспорта).
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func fastProfile() RetryProfile {
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return RetryProfile{AttemptTimeout: 2 * time.Second, MaxAttempts: 3, BackoffBase: time.Millisecond, BackoffCap: 5 * time.Millisecond}
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}
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func openAIOK(t *testing.T, w http.ResponseWriter, body string) {
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t.Helper()
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w.Header().Set("Content-Type", "application/json")
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if _, err := w.Write([]byte(body)); err != nil {
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t.Fatal(err)
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}
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}
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func TestOpenAICompatHappyPath(t *testing.T) {
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var gotBody map[string]any
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if r.URL.Path != "/chat/completions" {
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t.Errorf("path = %s", r.URL.Path)
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}
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if got := r.Header.Get("Authorization"); got != "Bearer k" {
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t.Errorf("auth = %q", got)
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}
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if err := json.NewDecoder(r.Body).Decode(&gotBody); err != nil {
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t.Fatal(err)
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}
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openAIOK(t, w, `{"id":"r1","model":"m-actual","choices":[{"message":{"content":"привет"},"finish_reason":"stop"}],
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"usage":{"prompt_tokens":100,"completion_tokens":20,"prompt_tokens_details":{"cached_tokens":40}}}`)
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "test", BaseURL: srv.URL, APIKey: "k", Profile: fastProfile(),
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ExtraBody: map[string]any{"thinking": map[string]any{"type": "disabled"}}}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{
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Model: "m",
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Messages: []Message{{Role: "system", Content: "s"}, {Role: "user", Content: "u"}},
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MaxTokens: 256,
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Temperature: 0.3,
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})
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if err != nil {
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t.Fatal(err)
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}
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if resp.Text != "привет" || resp.Model != "m-actual" || resp.FinishReason != FinishStop {
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t.Fatalf("resp = %+v", resp)
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}
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if resp.Usage.PromptTokens != 100 || resp.Usage.CachedTokens != 40 || resp.Usage.CompletionTokens != 20 {
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t.Fatalf("usage = %+v", resp.Usage)
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}
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if resp.Usage.ReasoningTokens != 0 {
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t.Fatalf("subset semantics must keep reasoning 0, got %d", resp.Usage.ReasoningTokens)
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}
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// ExtraBody из models.yaml домержен в тело запроса.
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if _, ok := gotBody["thinking"]; !ok {
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t.Fatalf("extra_body not merged into wire body: %v", gotBody)
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}
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if gotBody["stream"] != false {
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t.Fatalf("stream must be false, got %v", gotBody["stream"])
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}
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}
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func TestDeepSeekCacheFieldsVariant(t *testing.T) {
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// DeepSeek-вариант usage: prompt_cache_hit_tokens вместо
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// prompt_tokens_details — иначе эксперимент по кэшу покажет ложный ноль.
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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openAIOK(t, w, `{"id":"r2","choices":[{"message":{"content":"x"},"finish_reason":"stop"}],
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"usage":{"prompt_tokens":100,"completion_tokens":5,"prompt_cache_hit_tokens":64,"prompt_cache_miss_tokens":36}}`)
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "deepseek", BaseURL: srv.URL, Profile: fastProfile()}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil {
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t.Fatal(err)
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}
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if resp.Usage.CachedTokens != 64 {
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t.Fatalf("deepseek cache-hit tokens not parsed: %+v", resp.Usage)
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}
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}
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func TestAdditiveReasoningSemantics(t *testing.T) {
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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openAIOK(t, w, `{"id":"r3","choices":[{"message":{"content":"x"},"finish_reason":"stop"}],
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"usage":{"prompt_tokens":10,"completion_tokens":5,"completion_tokens_details":{"reasoning_tokens":50}}}`)
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}))
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defer srv.Close()
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// additive (xAI): reasoning поверх completion.
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "xai", BaseURL: srv.URL, Profile: fastProfile(), Reasoning: ReasoningAdditive}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil {
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t.Fatal(err)
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}
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if resp.Usage.ReasoningTokens != 50 {
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t.Fatalf("additive semantics must surface reasoning tokens, got %+v", resp.Usage)
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}
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// subset: то же тело, но reasoning остаётся 0 (иначе двойной биллинг).
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c2 := NewOpenAICompatClient(OpenAICompatConfig{Name: "openai", BaseURL: srv.URL, Profile: fastProfile(), Reasoning: ReasoningSubset}, nil)
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resp2, err := c2.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil {
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t.Fatal(err)
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}
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if resp2.Usage.ReasoningTokens != 0 {
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t.Fatalf("subset semantics must keep reasoning 0, got %+v", resp2.Usage)
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}
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}
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// TestAdditiveTotalReasoningSemantics covers the Gemini case (live-probe 2026-07-10): thinking
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// tokens are billed as output but appear ONLY in total_tokens — completion_tokens excludes them
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// and there is no reasoning_tokens field. The adapter must derive reasoning = total − prompt −
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// completion so the mandatory-thinking spend is not invisible to the ledger. Reverting the
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// ReasoningAdditiveTotal branch drops reasoning to 0 and fails this test.
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func TestAdditiveTotalReasoningSemantics(t *testing.T) {
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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// Mirrors the real Gemini shape: completion=2, prompt=22, total=847 → 823 hidden thinking,
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// NO completion_tokens_details.reasoning_tokens field at all.
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openAIOK(t, w, `{"id":"g1","model":"gemini-3.1-pro-preview","choices":[{"message":{"content":"391"},"finish_reason":"stop"}],
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"usage":{"prompt_tokens":22,"completion_tokens":2,"total_tokens":847}}`)
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "gemini", BaseURL: srv.URL, Profile: fastProfile(), Reasoning: ReasoningAdditiveTotal}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 8192})
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if err != nil {
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t.Fatal(err)
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}
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if resp.Usage.ReasoningTokens != 823 {
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t.Fatalf("additive_total must derive hidden thinking = total−prompt−completion = 823, got %+v", resp.Usage)
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}
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if resp.Usage.CompletionTokens != 2 {
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t.Fatalf("completion tokens must stay the visible 2 (thinking is separate reasoning), got %+v", resp.Usage)
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}
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// A spec provider whose total == prompt+completion must NOT derive a phantom reasoning count
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// (guard the >0 branch — never inflate the ceiling).
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srv2 := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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openAIOK(t, w, `{"id":"g2","choices":[{"message":{"content":"x"},"finish_reason":"stop"}],
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"usage":{"prompt_tokens":10,"completion_tokens":5,"total_tokens":15}}`)
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}))
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defer srv2.Close()
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c2 := NewOpenAICompatClient(OpenAICompatConfig{Name: "gemini", BaseURL: srv2.URL, Profile: fastProfile(), Reasoning: ReasoningAdditiveTotal}, nil)
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resp2, err := c2.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil {
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t.Fatal(err)
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}
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if resp2.Usage.ReasoningTokens != 0 {
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t.Fatalf("total==prompt+completion must derive 0 reasoning, got %+v", resp2.Usage)
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}
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}
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func TestRetryOn429HonoursRetryAfter(t *testing.T) {
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var calls atomic.Int32
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var firstRetryAt, secondCallAt time.Time
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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n := calls.Add(1)
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if n == 1 {
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firstRetryAt = time.Now()
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w.Header().Set("Retry-After", "1")
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w.WriteHeader(http.StatusTooManyRequests)
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return
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}
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secondCallAt = time.Now()
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openAIOK(t, w, `{"id":"r","choices":[{"message":{"content":"ok"},"finish_reason":"stop"}],"usage":{"prompt_tokens":1,"completion_tokens":1}}`)
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "test", BaseURL: srv.URL, Profile: fastProfile()}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil {
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t.Fatal(err)
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}
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if resp.Text != "ok" || calls.Load() != 2 {
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t.Fatalf("text=%q calls=%d", resp.Text, calls.Load())
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}
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// Retry-After: 1s должен перебить миллисекундный backoff профиля.
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if wait := secondCallAt.Sub(firstRetryAt); wait < 900*time.Millisecond {
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t.Fatalf("Retry-After not honoured: waited only %v", wait)
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}
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}
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func TestTerminal4xxNoRetry(t *testing.T) {
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var calls atomic.Int32
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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calls.Add(1)
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w.WriteHeader(http.StatusBadRequest)
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w.Write([]byte(`{"error":"bad model"}`))
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "test", BaseURL: srv.URL, Profile: fastProfile()}, nil)
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_, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err == nil {
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t.Fatal("terminal 4xx must fail")
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}
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var se *HTTPStatusError
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if !errors.As(err, &se) || se.Status != 400 {
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t.Fatalf("want typed 400, got %v", err)
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}
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if calls.Load() != 1 {
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t.Fatalf("terminal 4xx must not retry, calls=%d", calls.Load())
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}
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}
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func TestEmptyContent2xxIsSuccess(t *testing.T) {
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// 2xx с пустым контентом — оплаченный вызов: транспорт возвращает успех,
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// деньги книжатся, гейты разбираются с пустым текстом.
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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openAIOK(t, w, `{"id":"r","choices":[],"usage":{"prompt_tokens":10,"completion_tokens":0}}`)
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "test", BaseURL: srv.URL, Profile: fastProfile()}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil {
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t.Fatalf("empty-content 2xx must be a success (billed call): %v", err)
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}
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if resp.Text != "" || resp.Usage.PromptTokens != 10 {
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t.Fatalf("resp = %+v", resp)
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}
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}
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func TestRetryOn5xxThenSuccess(t *testing.T) {
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var calls atomic.Int32
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if calls.Add(1) < 3 {
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w.WriteHeader(http.StatusBadGateway)
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return
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}
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openAIOK(t, w, `{"id":"r","choices":[{"message":{"content":"ok"},"finish_reason":"stop"}],"usage":{"prompt_tokens":1,"completion_tokens":1}}`)
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "test", BaseURL: srv.URL, Profile: fastProfile()}, nil)
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resp, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err != nil || resp.Text != "ok" {
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t.Fatalf("resp=%v err=%v", resp, err)
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}
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if calls.Load() != 3 {
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t.Fatalf("calls = %d", calls.Load())
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}
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}
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// TestRetryLoopLogsWillRetryOnlyWhileAttemptsRemain pins the retryLoop logging contract
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// (D23.4, httpllm.go:87-89): a "will retry" WARN is emitted ONLY when an attempt actually
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// remains — carrying the REAL wait (retry_in), which Retry-After can silently stretch —
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// and NEVER before the terminal exhausted error. Before the fix the last failure also
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// logged "will retry" right before giving up. slog-capture, no live provider assertion.
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func TestRetryLoopLogsWillRetryOnlyWhileAttemptsRemain(t *testing.T) {
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var buf bytes.Buffer
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logger := slog.New(slog.NewTextHandler(&buf, &slog.HandlerOptions{Level: slog.LevelDebug}))
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var calls atomic.Int32
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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calls.Add(1)
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w.WriteHeader(http.StatusBadGateway) // always 5xx → retryable, runs to exhaustion
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "prov", BaseURL: srv.URL, Profile: fastProfile()}, logger)
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_, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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if err == nil {
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t.Fatal("a persistent 5xx must exhaust to an error")
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}
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if calls.Load() != 3 { // fastProfile MaxAttempts=3
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t.Fatalf("want 3 attempts, got %d", calls.Load())
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}
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logs := buf.String()
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// Exactly MaxAttempts-1 (2) retry warnings: after attempts 1 and 2, never after the
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// last one (the loop breaks on att+1>=MaxAttempts before the WARN).
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if n := strings.Count(logs, "attempt failed, will retry"); n != 2 {
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t.Fatalf("want exactly 2 'will retry' logs (none on the terminal attempt), got %d:\n%s", n, logs)
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}
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// Each retry log carries the real wait it is about to sleep.
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if !strings.Contains(logs, "retry_in=") {
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t.Fatalf("a retry log must carry retry_in (the actual wait, Retry-After-aware):\n%s", logs)
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}
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// The final outcome is the exhausted error, not another "will retry".
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if !strings.Contains(err.Error(), "exhausted") {
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t.Fatalf("terminal error must say exhausted, got %v", err)
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}
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}
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func TestBilledDecodeErrorOn2xxGarbage(t *testing.T) {
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// 2xx с нечитаемым телом: ретраится, а на исчерпании отдаёт типизированную
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// billed-ошибку — раннер по ней селтлит оценку вместо возврата резерва.
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var calls atomic.Int32
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srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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calls.Add(1)
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w.Write([]byte(`{"truncated`)) // обрыв тела через прокси
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}))
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defer srv.Close()
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c := NewOpenAICompatClient(OpenAICompatConfig{Name: "test", BaseURL: srv.URL, Profile: fastProfile()}, nil)
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_, err := c.Complete(context.Background(), LLMRequest{Model: "m", Messages: []Message{{Role: "user", Content: "u"}}, MaxTokens: 16})
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var bde *BilledDecodeError
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if err == nil || !errors.As(err, &bde) {
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t.Fatalf("want BilledDecodeError, got %v", err)
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}
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if calls.Load() != 3 {
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t.Fatalf("garbled 2xx must be retried to exhaustion, calls=%d", calls.Load())
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}
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}
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