依据 DevDocs/design/04 §3.2「官方核对后的修正」9 条 + 本地 DevDocs/reference/deepseek/facts-for-cyrene.md(官方原句/URL)。 - 🔴 reasoning_effort 白名单改为官方集合 [none, low, high, max] + 别名映射(minimal→low, medium→high, xhigh→high, ultra→max);**删除就近降级**,非法值一律丢弃+WARN。此前 none(关思考) 被降级成 low(开思考) 属语义反转 - 🔴 DeepSeek thinking 开关真发顶层 {"thinking":{"type":"enabled|disabled"}}(官方默认 enabled,不传≠关);此前只打 WARN 导致 mode:off 静默无效 - DeepSeek 的 /anthropic 端点忽略 budget_tokens → 不再对其抬 max_tokens(会误导预算/日志),改为按官方用 output_config.effort - 注释纠正:penalty 属接口级 deprecated(非仅思考模式);top_p 仅思考模式生效且下限 0.95(不加该字段) - tool_choice 雷登记:思考模式下 required/指定 tool 会 400(思考默认开) - 旧模型名清理(deepseek-chat/reasoner 已于 2026-07-24 停用) - 请求体级测试 + 变异验证(把 none 改回 low / 把 thinking 改回只 WARN → 对应断言 FAIL)
149 lines
4.5 KiB
Go
149 lines
4.5 KiB
Go
package model
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import (
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"context"
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"path/filepath"
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"sync"
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"testing"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/config"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/config/runtimeconfig"
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)
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func rtEnv() config.LLMConfig {
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// Env fallback matches "openai default" (provider not anthropic).
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return config.LLMConfig{
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Provider: ProviderOpenAI,
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BaseURL: "https://api.openai.com/v1",
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APIKey: "sk-env",
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Model: "gpt-4o",
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}
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}
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func writeRTFile(t *testing.T, groups []runtimeconfig.Group) string {
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t.Helper()
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path := filepath.Join(t.TempDir(), "models.json")
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if err := runtimeconfig.SaveModels(path, groups); err != nil {
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t.Fatalf("SaveModels: %v", err)
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}
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return path
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}
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func TestRuntimeLLM_EnvFallback(t *testing.T) {
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// Missing file → env fallback provider/model.
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m := NewRuntimeLLM(filepath.Join(t.TempDir(), "nope.json"), rtEnv(), nil)
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if m.Provider() != ProviderOpenAI || m.Model() != "gpt-4o" {
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t.Fatalf("fallback Provider=%q Model=%q, want openai/gpt-4o", m.Provider(), m.Model())
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}
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chain, router := m.Current()
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if router == nil {
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t.Fatal("router is nil after env fallback")
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}
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if chain == nil {
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// No real endpoint is fine; the adapter should report ErrNoModel, not panic.
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if _, err := m.Chat(context.Background(), Request{Messages: nil}, Options{}); err != ErrNoModel {
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t.Fatalf("Chat on empty config err = %v, want ErrNoModel", err)
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}
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}
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}
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func TestRuntimeLLM_FileLoad(t *testing.T) {
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path := writeRTFile(t, []runtimeconfig.Group{
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{ID: "deepseek", Provider: ProviderOpenAI, BaseURL: "https://api.deepseek.com/v1", APIKey: "sk-ds", Model: "deepseek-flash"},
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})
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m := NewRuntimeLLM(path, rtEnv(), nil)
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if m.Provider() != ProviderOpenAI || m.Model() != "deepseek-flash" {
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t.Fatalf("Provider=%q Model=%q, want openai/deepseek-flash", m.Provider(), m.Model())
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}
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if m.Group().ID != "deepseek" {
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t.Fatalf("Group().ID = %q, want deepseek", m.Group().ID)
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}
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}
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func TestRuntimeLLM_ReloadReflectsNewProviderModel(t *testing.T) {
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path := writeRTFile(t, []runtimeconfig.Group{
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{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://api.openai.com/v1", APIKey: "sk-1", Model: "gpt-4o"},
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})
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m := NewRuntimeLLM(path, rtEnv(), nil)
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if m.Model() != "gpt-4o" {
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t.Fatalf("before reload Model = %q, want gpt-4o", m.Model())
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}
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// Rewrite the file with an anthropic provider/model, then reload.
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if err := runtimeconfig.SaveModels(path, []runtimeconfig.Group{
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{ID: "claude", Provider: ProviderAnthropic, BaseURL: "https://api.anthropic.com", APIKey: "sk-ant", Model: "claude-sonnet-4"},
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}); err != nil {
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t.Fatalf("SaveModels: %v", err)
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}
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if err := m.Reload(); err != nil {
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t.Fatalf("Reload: %v", err)
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}
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if m.Provider() != ProviderAnthropic || m.Model() != "claude-sonnet-4" {
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t.Fatalf("after reload Provider=%q Model=%q, want anthropic/claude-sonnet-4", m.Provider(), m.Model())
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}
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chain, router := m.Current()
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if router == nil || chain == nil {
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t.Fatal("after reload Current() returned nil chain/router")
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}
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}
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func TestRuntimeLLM_ImplementsAdapterAndRouter(t *testing.T) {
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path := writeRTFile(t, []runtimeconfig.Group{
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{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://x", APIKey: "sk", Model: "m"},
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})
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m := NewRuntimeLLM(path, rtEnv(), nil)
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var _ Adapter = m
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var _ ModelRouter = m
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if m.Name() != "openai" {
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t.Fatalf("Name = %q, want openai", m.Name())
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}
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modelName, _ := m.RouteRequest(Request{})
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if modelName != "m" {
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t.Fatalf("RouteRequest = %q, want the active model m", modelName)
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}
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}
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func TestRuntimeLLM_ConcurrentReadDuringReloadNoPanic(t *testing.T) {
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path := writeRTFile(t, []runtimeconfig.Group{
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{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://api.openai.com/v1", APIKey: "sk-1", Model: "gpt-4o"},
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})
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m := NewRuntimeLLM(path, rtEnv(), nil)
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const readers = 8
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var wg sync.WaitGroup
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stop := make(chan struct{})
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for i := 0; i < readers; i++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for {
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select {
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case <-stop:
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return
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default:
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}
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_ = m.Provider()
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_ = m.Model()
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chain, router := m.Current()
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if router == nil {
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t.Error("router is nil during concurrent read")
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return
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}
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if chain == nil {
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// A nil chain means the config had no base/model; our test file has one,
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// so a swap must always produce a chain. Guard anyway.
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t.Error("chain is nil during concurrent read")
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return
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}
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}
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}()
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}
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// Reload a number of times while the readers spin.
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for i := 0; i < 200; i++ {
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if err := m.Reload(); err != nil {
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t.Fatalf("reload %d: %v", i, err)
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}
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}
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close(stop)
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wg.Wait()
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}
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