Files
CLIProxyAPIPlus/sdk/cliproxy/auth/openai_compat_pool_test.go
2026-03-18 13:19:20 -04:00

757 lines
25 KiB
Go

package auth
import (
"context"
"net/http"
"strings"
"sync"
"testing"
internalconfig "github.com/router-for-me/CLIProxyAPI/v6/internal/config"
"github.com/router-for-me/CLIProxyAPI/v6/internal/registry"
cliproxyexecutor "github.com/router-for-me/CLIProxyAPI/v6/sdk/cliproxy/executor"
)
type openAICompatPoolExecutor struct {
id string
mu sync.Mutex
executeModels []string
countModels []string
streamModels []string
executeErrors map[string]error
countErrors map[string]error
streamFirstErrors map[string]error
streamPayloads map[string][]cliproxyexecutor.StreamChunk
}
func (e *openAICompatPoolExecutor) Identifier() string { return e.id }
func (e *openAICompatPoolExecutor) Execute(ctx context.Context, auth *Auth, req cliproxyexecutor.Request, opts cliproxyexecutor.Options) (cliproxyexecutor.Response, error) {
_ = ctx
_ = auth
_ = opts
e.mu.Lock()
e.executeModels = append(e.executeModels, req.Model)
err := e.executeErrors[req.Model]
e.mu.Unlock()
if err != nil {
return cliproxyexecutor.Response{}, err
}
return cliproxyexecutor.Response{Payload: []byte(req.Model)}, nil
}
func (e *openAICompatPoolExecutor) ExecuteStream(ctx context.Context, auth *Auth, req cliproxyexecutor.Request, opts cliproxyexecutor.Options) (*cliproxyexecutor.StreamResult, error) {
_ = ctx
_ = auth
_ = opts
e.mu.Lock()
e.streamModels = append(e.streamModels, req.Model)
err := e.streamFirstErrors[req.Model]
payloadChunks, hasCustomChunks := e.streamPayloads[req.Model]
chunks := append([]cliproxyexecutor.StreamChunk(nil), payloadChunks...)
e.mu.Unlock()
ch := make(chan cliproxyexecutor.StreamChunk, max(1, len(chunks)))
if err != nil {
ch <- cliproxyexecutor.StreamChunk{Err: err}
close(ch)
return &cliproxyexecutor.StreamResult{Headers: http.Header{"X-Model": {req.Model}}, Chunks: ch}, nil
}
if !hasCustomChunks {
ch <- cliproxyexecutor.StreamChunk{Payload: []byte(req.Model)}
} else {
for _, chunk := range chunks {
ch <- chunk
}
}
close(ch)
return &cliproxyexecutor.StreamResult{Headers: http.Header{"X-Model": {req.Model}}, Chunks: ch}, nil
}
func (e *openAICompatPoolExecutor) Refresh(_ context.Context, auth *Auth) (*Auth, error) {
return auth, nil
}
func (e *openAICompatPoolExecutor) CountTokens(ctx context.Context, auth *Auth, req cliproxyexecutor.Request, opts cliproxyexecutor.Options) (cliproxyexecutor.Response, error) {
_ = ctx
_ = auth
_ = opts
e.mu.Lock()
e.countModels = append(e.countModels, req.Model)
err := e.countErrors[req.Model]
e.mu.Unlock()
if err != nil {
return cliproxyexecutor.Response{}, err
}
return cliproxyexecutor.Response{Payload: []byte(req.Model)}, nil
}
func (e *openAICompatPoolExecutor) HttpRequest(ctx context.Context, auth *Auth, req *http.Request) (*http.Response, error) {
_ = ctx
_ = auth
_ = req
return nil, &Error{HTTPStatus: http.StatusNotImplemented, Message: "HttpRequest not implemented"}
}
func (e *openAICompatPoolExecutor) ExecuteModels() []string {
e.mu.Lock()
defer e.mu.Unlock()
out := make([]string, len(e.executeModels))
copy(out, e.executeModels)
return out
}
func (e *openAICompatPoolExecutor) CountModels() []string {
e.mu.Lock()
defer e.mu.Unlock()
out := make([]string, len(e.countModels))
copy(out, e.countModels)
return out
}
func (e *openAICompatPoolExecutor) StreamModels() []string {
e.mu.Lock()
defer e.mu.Unlock()
out := make([]string, len(e.streamModels))
copy(out, e.streamModels)
return out
}
type authScopedOpenAICompatPoolExecutor struct {
id string
mu sync.Mutex
executeCalls []string
}
func (e *authScopedOpenAICompatPoolExecutor) Identifier() string { return e.id }
func (e *authScopedOpenAICompatPoolExecutor) Execute(_ context.Context, auth *Auth, req cliproxyexecutor.Request, _ cliproxyexecutor.Options) (cliproxyexecutor.Response, error) {
call := auth.ID + "|" + req.Model
e.mu.Lock()
e.executeCalls = append(e.executeCalls, call)
e.mu.Unlock()
return cliproxyexecutor.Response{Payload: []byte(call)}, nil
}
func (e *authScopedOpenAICompatPoolExecutor) ExecuteStream(context.Context, *Auth, cliproxyexecutor.Request, cliproxyexecutor.Options) (*cliproxyexecutor.StreamResult, error) {
return nil, &Error{HTTPStatus: http.StatusNotImplemented, Message: "ExecuteStream not implemented"}
}
func (e *authScopedOpenAICompatPoolExecutor) Refresh(_ context.Context, auth *Auth) (*Auth, error) {
return auth, nil
}
func (e *authScopedOpenAICompatPoolExecutor) CountTokens(context.Context, *Auth, cliproxyexecutor.Request, cliproxyexecutor.Options) (cliproxyexecutor.Response, error) {
return cliproxyexecutor.Response{}, &Error{HTTPStatus: http.StatusNotImplemented, Message: "CountTokens not implemented"}
}
func (e *authScopedOpenAICompatPoolExecutor) HttpRequest(context.Context, *Auth, *http.Request) (*http.Response, error) {
return nil, &Error{HTTPStatus: http.StatusNotImplemented, Message: "HttpRequest not implemented"}
}
func (e *authScopedOpenAICompatPoolExecutor) ExecuteCalls() []string {
e.mu.Lock()
defer e.mu.Unlock()
out := make([]string, len(e.executeCalls))
copy(out, e.executeCalls)
return out
}
func newOpenAICompatPoolTestManager(t *testing.T, alias string, models []internalconfig.OpenAICompatibilityModel, executor *openAICompatPoolExecutor) *Manager {
t.Helper()
cfg := &internalconfig.Config{
OpenAICompatibility: []internalconfig.OpenAICompatibility{{
Name: "pool",
Models: models,
}},
}
m := NewManager(nil, nil, nil)
m.SetConfig(cfg)
if executor == nil {
executor = &openAICompatPoolExecutor{id: "pool"}
}
m.RegisterExecutor(executor)
auth := &Auth{
ID: "pool-auth-" + t.Name(),
Provider: "pool",
Status: StatusActive,
Attributes: map[string]string{
"api_key": "test-key",
"compat_name": "pool",
"provider_key": "pool",
},
}
if _, err := m.Register(context.Background(), auth); err != nil {
t.Fatalf("register auth: %v", err)
}
reg := registry.GetGlobalRegistry()
reg.RegisterClient(auth.ID, "pool", []*registry.ModelInfo{{ID: alias}})
t.Cleanup(func() {
reg.UnregisterClient(auth.ID)
})
return m
}
func readOpenAICompatStreamPayload(t *testing.T, streamResult *cliproxyexecutor.StreamResult) string {
t.Helper()
if streamResult == nil {
t.Fatal("expected stream result")
}
var payload []byte
for chunk := range streamResult.Chunks {
if chunk.Err != nil {
t.Fatalf("unexpected stream error: %v", chunk.Err)
}
payload = append(payload, chunk.Payload...)
}
return string(payload)
}
func TestManagerExecuteCount_OpenAICompatAliasPoolStopsOnInvalidRequest(t *testing.T) {
alias := "claude-opus-4.66"
invalidErr := &Error{HTTPStatus: http.StatusUnprocessableEntity, Message: "unprocessable entity"}
executor := &openAICompatPoolExecutor{
id: "pool",
countErrors: map[string]error{"qwen3.5-plus": invalidErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
_, err := m.ExecuteCount(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err == nil || err.Error() != invalidErr.Error() {
t.Fatalf("execute count error = %v, want %v", err, invalidErr)
}
got := executor.CountModels()
if len(got) != 1 || got[0] != "qwen3.5-plus" {
t.Fatalf("count calls = %v, want only first invalid model", got)
}
}
func TestResolveModelAliasPoolFromConfigModels(t *testing.T) {
models := []modelAliasEntry{
internalconfig.OpenAICompatibilityModel{Name: "qwen3.5-plus", Alias: "claude-opus-4.66"},
internalconfig.OpenAICompatibilityModel{Name: "glm-5", Alias: "claude-opus-4.66"},
internalconfig.OpenAICompatibilityModel{Name: "kimi-k2.5", Alias: "claude-opus-4.66"},
}
got := resolveModelAliasPoolFromConfigModels("claude-opus-4.66(8192)", models)
want := []string{"qwen3.5-plus(8192)", "glm-5(8192)", "kimi-k2.5(8192)"}
if len(got) != len(want) {
t.Fatalf("pool len = %d, want %d (%v)", len(got), len(want), got)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("pool[%d] = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecute_OpenAICompatAliasPoolRotatesWithinAuth(t *testing.T) {
alias := "claude-opus-4.66"
executor := &openAICompatPoolExecutor{id: "pool"}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
for i := 0; i < 3; i++ {
resp, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute %d: %v", i, err)
}
if len(resp.Payload) == 0 {
t.Fatalf("execute %d returned empty payload", i)
}
}
got := executor.ExecuteModels()
want := []string{"qwen3.5-plus", "glm-5", "qwen3.5-plus"}
if len(got) != len(want) {
t.Fatalf("execute calls = %v, want %v", got, want)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("execute call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecute_OpenAICompatAliasPoolStopsOnBadRequest(t *testing.T) {
alias := "claude-opus-4.66"
invalidErr := &Error{HTTPStatus: http.StatusBadRequest, Message: "invalid_request_error: malformed payload"}
executor := &openAICompatPoolExecutor{
id: "pool",
executeErrors: map[string]error{"qwen3.5-plus": invalidErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
_, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err == nil || err.Error() != invalidErr.Error() {
t.Fatalf("execute error = %v, want %v", err, invalidErr)
}
got := executor.ExecuteModels()
if len(got) != 1 || got[0] != "qwen3.5-plus" {
t.Fatalf("execute calls = %v, want only first invalid model", got)
}
}
func TestManagerExecute_OpenAICompatAliasPoolFallsBackOnModelSupportBadRequest(t *testing.T) {
alias := "claude-opus-4.66"
modelSupportErr := &Error{
HTTPStatus: http.StatusBadRequest,
Message: "invalid_request_error: The requested model is not supported.",
}
executor := &openAICompatPoolExecutor{
id: "pool",
executeErrors: map[string]error{"qwen3.5-plus": modelSupportErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
resp, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute error = %v, want fallback success", err)
}
if string(resp.Payload) != "glm-5" {
t.Fatalf("payload = %q, want %q", string(resp.Payload), "glm-5")
}
got := executor.ExecuteModels()
want := []string{"qwen3.5-plus", "glm-5"}
if len(got) != len(want) {
t.Fatalf("execute calls = %v, want %v", got, want)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("execute call %d model = %q, want %q", i, got[i], want[i])
}
}
updated, ok := m.GetByID("pool-auth-" + t.Name())
if !ok || updated == nil {
t.Fatalf("expected auth to remain registered")
}
state := updated.ModelStates["qwen3.5-plus"]
if state == nil {
t.Fatalf("expected suspended upstream model state")
}
if !state.Unavailable || state.NextRetryAfter.IsZero() {
t.Fatalf("expected upstream model suspension, got %+v", state)
}
}
func TestManagerExecute_OpenAICompatAliasPoolFallsBackOnModelSupportUnprocessableEntity(t *testing.T) {
alias := "claude-opus-4.66"
modelSupportErr := &Error{
HTTPStatus: http.StatusUnprocessableEntity,
Message: "The requested model is not supported.",
}
executor := &openAICompatPoolExecutor{
id: "pool",
executeErrors: map[string]error{"qwen3.5-plus": modelSupportErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
resp, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute error = %v, want fallback success", err)
}
if string(resp.Payload) != "glm-5" {
t.Fatalf("payload = %q, want %q", string(resp.Payload), "glm-5")
}
got := executor.ExecuteModels()
want := []string{"qwen3.5-plus", "glm-5"}
if len(got) != len(want) {
t.Fatalf("execute calls = %v, want %v", got, want)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("execute call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecute_OpenAICompatAliasPoolFallsBackWithinSameAuth(t *testing.T) {
alias := "claude-opus-4.66"
executor := &openAICompatPoolExecutor{
id: "pool",
executeErrors: map[string]error{"qwen3.5-plus": &Error{HTTPStatus: http.StatusTooManyRequests, Message: "quota"}},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
resp, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute: %v", err)
}
if string(resp.Payload) != "glm-5" {
t.Fatalf("payload = %q, want %q", string(resp.Payload), "glm-5")
}
got := executor.ExecuteModels()
want := []string{"qwen3.5-plus", "glm-5"}
for i := range want {
if got[i] != want[i] {
t.Fatalf("execute call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecuteStream_OpenAICompatAliasPoolRetriesOnEmptyBootstrap(t *testing.T) {
alias := "claude-opus-4.66"
executor := &openAICompatPoolExecutor{
id: "pool",
streamPayloads: map[string][]cliproxyexecutor.StreamChunk{
"qwen3.5-plus": {},
},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
streamResult, err := m.ExecuteStream(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute stream: %v", err)
}
var payload []byte
for chunk := range streamResult.Chunks {
if chunk.Err != nil {
t.Fatalf("unexpected stream error: %v", chunk.Err)
}
payload = append(payload, chunk.Payload...)
}
if string(payload) != "glm-5" {
t.Fatalf("payload = %q, want %q", string(payload), "glm-5")
}
got := executor.StreamModels()
want := []string{"qwen3.5-plus", "glm-5"}
for i := range want {
if got[i] != want[i] {
t.Fatalf("stream call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecuteStream_OpenAICompatAliasPoolFallsBackBeforeFirstByte(t *testing.T) {
alias := "claude-opus-4.66"
executor := &openAICompatPoolExecutor{
id: "pool",
streamFirstErrors: map[string]error{"qwen3.5-plus": &Error{HTTPStatus: http.StatusTooManyRequests, Message: "quota"}},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
streamResult, err := m.ExecuteStream(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute stream: %v", err)
}
var payload []byte
for chunk := range streamResult.Chunks {
if chunk.Err != nil {
t.Fatalf("unexpected stream error: %v", chunk.Err)
}
payload = append(payload, chunk.Payload...)
}
if string(payload) != "glm-5" {
t.Fatalf("payload = %q, want %q", string(payload), "glm-5")
}
got := executor.StreamModels()
want := []string{"qwen3.5-plus", "glm-5"}
for i := range want {
if got[i] != want[i] {
t.Fatalf("stream call %d model = %q, want %q", i, got[i], want[i])
}
}
if gotHeader := streamResult.Headers.Get("X-Model"); gotHeader != "glm-5" {
t.Fatalf("header X-Model = %q, want %q", gotHeader, "glm-5")
}
}
func TestManagerExecuteStream_OpenAICompatAliasPoolStopsOnInvalidRequest(t *testing.T) {
alias := "claude-opus-4.66"
invalidErr := &Error{HTTPStatus: http.StatusUnprocessableEntity, Message: "unprocessable entity"}
executor := &openAICompatPoolExecutor{
id: "pool",
streamFirstErrors: map[string]error{"qwen3.5-plus": invalidErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
_, err := m.ExecuteStream(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err == nil || err.Error() != invalidErr.Error() {
t.Fatalf("execute stream error = %v, want %v", err, invalidErr)
}
got := executor.StreamModels()
if len(got) != 1 || got[0] != "qwen3.5-plus" {
t.Fatalf("stream calls = %v, want only first invalid model", got)
}
}
func TestManagerExecute_OpenAICompatAliasPoolSkipsSuspendedUpstreamOnLaterRequests(t *testing.T) {
alias := "claude-opus-4.66"
modelSupportErr := &Error{
HTTPStatus: http.StatusBadRequest,
Message: "invalid_request_error: The requested model is not supported.",
}
executor := &openAICompatPoolExecutor{
id: "pool",
executeErrors: map[string]error{"qwen3.5-plus": modelSupportErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
for i := 0; i < 3; i++ {
resp, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute %d: %v", i, err)
}
if string(resp.Payload) != "glm-5" {
t.Fatalf("execute %d payload = %q, want %q", i, string(resp.Payload), "glm-5")
}
}
got := executor.ExecuteModels()
want := []string{"qwen3.5-plus", "glm-5", "glm-5", "glm-5"}
if len(got) != len(want) {
t.Fatalf("execute calls = %v, want %v", got, want)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("execute call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecuteStream_OpenAICompatAliasPoolSkipsSuspendedUpstreamOnLaterRequests(t *testing.T) {
alias := "claude-opus-4.66"
modelSupportErr := &Error{
HTTPStatus: http.StatusUnprocessableEntity,
Message: "The requested model is not supported.",
}
executor := &openAICompatPoolExecutor{
id: "pool",
streamFirstErrors: map[string]error{"qwen3.5-plus": modelSupportErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
for i := 0; i < 3; i++ {
streamResult, err := m.ExecuteStream(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute stream %d: %v", i, err)
}
if payload := readOpenAICompatStreamPayload(t, streamResult); payload != "glm-5" {
t.Fatalf("execute stream %d payload = %q, want %q", i, payload, "glm-5")
}
if gotHeader := streamResult.Headers.Get("X-Model"); gotHeader != "glm-5" {
t.Fatalf("execute stream %d header X-Model = %q, want %q", i, gotHeader, "glm-5")
}
}
got := executor.StreamModels()
want := []string{"qwen3.5-plus", "glm-5", "glm-5", "glm-5"}
if len(got) != len(want) {
t.Fatalf("stream calls = %v, want %v", got, want)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("stream call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecuteCount_OpenAICompatAliasPoolRotatesWithinAuth(t *testing.T) {
alias := "claude-opus-4.66"
executor := &openAICompatPoolExecutor{id: "pool"}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
for i := 0; i < 2; i++ {
resp, err := m.ExecuteCount(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute count %d: %v", i, err)
}
if len(resp.Payload) == 0 {
t.Fatalf("execute count %d returned empty payload", i)
}
}
got := executor.CountModels()
want := []string{"qwen3.5-plus", "glm-5"}
for i := range want {
if got[i] != want[i] {
t.Fatalf("count call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecuteCount_OpenAICompatAliasPoolSkipsSuspendedUpstreamOnLaterRequests(t *testing.T) {
alias := "claude-opus-4.66"
modelSupportErr := &Error{
HTTPStatus: http.StatusBadRequest,
Message: "invalid_request_error: The requested model is unsupported.",
}
executor := &openAICompatPoolExecutor{
id: "pool",
countErrors: map[string]error{"qwen3.5-plus": modelSupportErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
for i := 0; i < 3; i++ {
resp, err := m.ExecuteCount(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute count %d: %v", i, err)
}
if string(resp.Payload) != "glm-5" {
t.Fatalf("execute count %d payload = %q, want %q", i, string(resp.Payload), "glm-5")
}
}
got := executor.CountModels()
want := []string{"qwen3.5-plus", "glm-5", "glm-5", "glm-5"}
if len(got) != len(want) {
t.Fatalf("count calls = %v, want %v", got, want)
}
for i := range want {
if got[i] != want[i] {
t.Fatalf("count call %d model = %q, want %q", i, got[i], want[i])
}
}
}
func TestManagerExecute_OpenAICompatAliasPoolBlockedAuthDoesNotConsumeRetryBudget(t *testing.T) {
alias := "claude-opus-4.66"
cfg := &internalconfig.Config{
OpenAICompatibility: []internalconfig.OpenAICompatibility{{
Name: "pool",
Models: []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
},
}},
}
m := NewManager(nil, nil, nil)
m.SetConfig(cfg)
m.SetRetryConfig(0, 0, 1)
executor := &authScopedOpenAICompatPoolExecutor{id: "pool"}
m.RegisterExecutor(executor)
badAuth := &Auth{
ID: "aa-blocked-auth",
Provider: "pool",
Status: StatusActive,
Attributes: map[string]string{
"api_key": "bad-key",
"compat_name": "pool",
"provider_key": "pool",
},
}
goodAuth := &Auth{
ID: "bb-good-auth",
Provider: "pool",
Status: StatusActive,
Attributes: map[string]string{
"api_key": "good-key",
"compat_name": "pool",
"provider_key": "pool",
},
}
if _, err := m.Register(context.Background(), badAuth); err != nil {
t.Fatalf("register bad auth: %v", err)
}
if _, err := m.Register(context.Background(), goodAuth); err != nil {
t.Fatalf("register good auth: %v", err)
}
reg := registry.GetGlobalRegistry()
reg.RegisterClient(badAuth.ID, "pool", []*registry.ModelInfo{{ID: alias}})
reg.RegisterClient(goodAuth.ID, "pool", []*registry.ModelInfo{{ID: alias}})
t.Cleanup(func() {
reg.UnregisterClient(badAuth.ID)
reg.UnregisterClient(goodAuth.ID)
})
modelSupportErr := &Error{
HTTPStatus: http.StatusBadRequest,
Message: "invalid_request_error: The requested model is not supported.",
}
for _, upstreamModel := range []string{"qwen3.5-plus", "glm-5"} {
m.MarkResult(context.Background(), Result{
AuthID: badAuth.ID,
Provider: "pool",
Model: upstreamModel,
Success: false,
Error: modelSupportErr,
})
}
resp, err := m.Execute(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err != nil {
t.Fatalf("execute error = %v, want success via fallback auth", err)
}
if !strings.HasPrefix(string(resp.Payload), goodAuth.ID+"|") {
t.Fatalf("payload = %q, want auth %q", string(resp.Payload), goodAuth.ID)
}
got := executor.ExecuteCalls()
if len(got) != 1 {
t.Fatalf("execute calls = %v, want only one real execution on fallback auth", got)
}
if !strings.HasPrefix(got[0], goodAuth.ID+"|") {
t.Fatalf("execute call = %q, want fallback auth %q", got[0], goodAuth.ID)
}
}
func TestManagerExecuteStream_OpenAICompatAliasPoolStopsOnInvalidBootstrap(t *testing.T) {
alias := "claude-opus-4.66"
invalidErr := &Error{HTTPStatus: http.StatusBadRequest, Message: "invalid_request_error: malformed payload"}
executor := &openAICompatPoolExecutor{
id: "pool",
streamFirstErrors: map[string]error{"qwen3.5-plus": invalidErr},
}
m := newOpenAICompatPoolTestManager(t, alias, []internalconfig.OpenAICompatibilityModel{
{Name: "qwen3.5-plus", Alias: alias},
{Name: "glm-5", Alias: alias},
}, executor)
streamResult, err := m.ExecuteStream(context.Background(), []string{"pool"}, cliproxyexecutor.Request{Model: alias}, cliproxyexecutor.Options{})
if err == nil {
t.Fatal("expected invalid request error")
}
if err != invalidErr {
t.Fatalf("error = %v, want %v", err, invalidErr)
}
if streamResult != nil {
t.Fatalf("streamResult = %#v, want nil on invalid bootstrap", streamResult)
}
if got := executor.StreamModels(); len(got) != 1 || got[0] != "qwen3.5-plus" {
t.Fatalf("stream calls = %v, want only first upstream model", got)
}
}