Files
Cyrene_v2/internal/runtime/model/runtime_test.go
T
AskaEth 0de68bc960
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fix(model): DeepSeek 推理参数语义反转 + thinking 开关真发(按官方文档核对结果)
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)
2026-10-03 20:22:31 +08:00

149 lines
4.5 KiB
Go

package model
import (
"context"
"path/filepath"
"sync"
"testing"
"git.yeij.top/AskaEth/Cyrene_v2/internal/config"
"git.yeij.top/AskaEth/Cyrene_v2/internal/config/runtimeconfig"
)
func rtEnv() config.LLMConfig {
// Env fallback matches "openai default" (provider not anthropic).
return config.LLMConfig{
Provider: ProviderOpenAI,
BaseURL: "https://api.openai.com/v1",
APIKey: "sk-env",
Model: "gpt-4o",
}
}
func writeRTFile(t *testing.T, groups []runtimeconfig.Group) string {
t.Helper()
path := filepath.Join(t.TempDir(), "models.json")
if err := runtimeconfig.SaveModels(path, groups); err != nil {
t.Fatalf("SaveModels: %v", err)
}
return path
}
func TestRuntimeLLM_EnvFallback(t *testing.T) {
// Missing file → env fallback provider/model.
m := NewRuntimeLLM(filepath.Join(t.TempDir(), "nope.json"), rtEnv(), nil)
if m.Provider() != ProviderOpenAI || m.Model() != "gpt-4o" {
t.Fatalf("fallback Provider=%q Model=%q, want openai/gpt-4o", m.Provider(), m.Model())
}
chain, router := m.Current()
if router == nil {
t.Fatal("router is nil after env fallback")
}
if chain == nil {
// No real endpoint is fine; the adapter should report ErrNoModel, not panic.
if _, err := m.Chat(context.Background(), Request{Messages: nil}, Options{}); err != ErrNoModel {
t.Fatalf("Chat on empty config err = %v, want ErrNoModel", err)
}
}
}
func TestRuntimeLLM_FileLoad(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "deepseek", Provider: ProviderOpenAI, BaseURL: "https://api.deepseek.com/v1", APIKey: "sk-ds", Model: "deepseek-flash"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
if m.Provider() != ProviderOpenAI || m.Model() != "deepseek-flash" {
t.Fatalf("Provider=%q Model=%q, want openai/deepseek-flash", m.Provider(), m.Model())
}
if m.Group().ID != "deepseek" {
t.Fatalf("Group().ID = %q, want deepseek", m.Group().ID)
}
}
func TestRuntimeLLM_ReloadReflectsNewProviderModel(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://api.openai.com/v1", APIKey: "sk-1", Model: "gpt-4o"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
if m.Model() != "gpt-4o" {
t.Fatalf("before reload Model = %q, want gpt-4o", m.Model())
}
// Rewrite the file with an anthropic provider/model, then reload.
if err := runtimeconfig.SaveModels(path, []runtimeconfig.Group{
{ID: "claude", Provider: ProviderAnthropic, BaseURL: "https://api.anthropic.com", APIKey: "sk-ant", Model: "claude-sonnet-4"},
}); err != nil {
t.Fatalf("SaveModels: %v", err)
}
if err := m.Reload(); err != nil {
t.Fatalf("Reload: %v", err)
}
if m.Provider() != ProviderAnthropic || m.Model() != "claude-sonnet-4" {
t.Fatalf("after reload Provider=%q Model=%q, want anthropic/claude-sonnet-4", m.Provider(), m.Model())
}
chain, router := m.Current()
if router == nil || chain == nil {
t.Fatal("after reload Current() returned nil chain/router")
}
}
func TestRuntimeLLM_ImplementsAdapterAndRouter(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://x", APIKey: "sk", Model: "m"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
var _ Adapter = m
var _ ModelRouter = m
if m.Name() != "openai" {
t.Fatalf("Name = %q, want openai", m.Name())
}
modelName, _ := m.RouteRequest(Request{})
if modelName != "m" {
t.Fatalf("RouteRequest = %q, want the active model m", modelName)
}
}
func TestRuntimeLLM_ConcurrentReadDuringReloadNoPanic(t *testing.T) {
path := writeRTFile(t, []runtimeconfig.Group{
{ID: "openai", Provider: ProviderOpenAI, BaseURL: "https://api.openai.com/v1", APIKey: "sk-1", Model: "gpt-4o"},
})
m := NewRuntimeLLM(path, rtEnv(), nil)
const readers = 8
var wg sync.WaitGroup
stop := make(chan struct{})
for i := 0; i < readers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case <-stop:
return
default:
}
_ = m.Provider()
_ = m.Model()
chain, router := m.Current()
if router == nil {
t.Error("router is nil during concurrent read")
return
}
if chain == nil {
// A nil chain means the config had no base/model; our test file has one,
// so a swap must always produce a chain. Guard anyway.
t.Error("chain is nil during concurrent read")
return
}
}
}()
}
// Reload a number of times while the readers spin.
for i := 0; i < 200; i++ {
if err := m.Reload(); err != nil {
t.Fatalf("reload %d: %v", i, err)
}
}
close(stop)
wg.Wait()
}