- runtimeconfig/models.go: models.json 承载 [{id,provider,baseUrl,apiKey,model,fallback?,multimodal?}] 多厂商独立组(首项=生效)
- LoadModels 优先文件/回退env(GroupFromEnv), SaveModels(0600+tmp原子写), Activate/Upsert/MaskedKey脱敏
- 面板 POST /admin/llm 落盘 models.json(取代temporary内存) + GET 列组(脱敏)
- runtime/model/runtime.go: RuntimeLLM(adapter+router) atomic快照可热替换, Reload 重建不中断进行中请求; per-role路由用接口
- wire 用 NewRuntimeLLM(adapter+router), 保留 a.modelAdapter(=runtime stack, 审查模型随热更新)
- .env 退兜底(.env.example注明); apiKey不打印/Config()脱敏/热更新不中断
- 全仓 go build/vet/test 绿(54包)+交叉编译+前端build绿(79模块); api-client v0.15已同步
- 遗留: vision ModelInfo 仍读静态env(后续纳入); 保存组=生效组(第一版语义)
149 lines
4.5 KiB
Go
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-chat"},
|
|
})
|
|
m := NewRuntimeLLM(path, rtEnv(), nil)
|
|
if m.Provider() != ProviderOpenAI || m.Model() != "deepseek-chat" {
|
|
t.Fatalf("Provider=%q Model=%q, want openai/deepseek-chat", 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()
|
|
}
|