Files
LocalAI/tests/e2e/e2e_suite_test.go
Richard Palethorpe 085fc53bbc fix(router): production-ready request router + auto-size batch for embedding/rerank (#10104)
* fix(router): score classifier production-readiness

Conversation trimming runs through the classifier model's chat template
and trims by exact token count, sized to the model's n_batch which is
now scaled to context so long probes can't crash the backend. Missing
chat_message templates are a hard error at router build time. Router-
facing factories (Embedder/Scorer/Reranker/TokenCounter) re-resolve
ModelConfig per call so a model installed post-startup doesn't bind a
stub Backend="" config and silently fall into the loader's auto-
iterate path.

New 'vector_store' backend trace recorded inside localVectorStore on
every Search/Insert — including the backend-load-failure path that
previously vanished into an xlog.Warn — with outcome tagging
(hit/miss/empty_store/backend_load_error/find_error/insert_error/ok).
Companion cleanup drops misleading similarity:0 and input_tokens_count:0
from non-hit and text-mode traces.

Gallery local-store-development aliases to 'local-store' so the master
image satisfies pkg/model.LocalStoreBackend lookups from the embedding
cache.

Misc: llama-cpp TokenizeString reads the correct 'prompt' JSON key
(the original bug); ModelTokenize nil-guard; non-fatal mitm proxy
startup; PII 'route_local' renamed to 'allow' with docs/UI in sync;
model-editor footer no longer eats the edit area on small screens;
several config-editor template/dropdown/section fixes.

Tests: e2e router specs (casual/code-hint + long-conversation trim),
vector_store trace specs, lazy-factory specs, gallery dev-alias
resolution, Playwright trace badge + scroll regression.

Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(backend): auto-size batch to context for embedding and rerank models

Embedding and rerank models pool over the whole input in a single physical batch (n_ubatch). With batch left at the 512 default, the backend rejects longer inputs with "input is too large to process", silently capping a large-context embedder (e.g. 8k/32k) at 512 tokens. Size n_batch to the context for these single-pass usecases, mirroring the existing FLAG_SCORE behaviour; an explicit batch: still wins.

Extracts EffectiveContextSize/EffectiveBatchSize from grpcModelOpts so the effective decode window has one home for other callers to reuse.

Adds an e2e-aio regression test that embeds a >512-token input. The AIO embedding model is switched to nomic-embed-text-v1.5 (2048 context) because the previous granite model was capped at 512 tokens and could not exercise the larger batch.

Assisted-by: claude-code:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(gallery): raise arch-router scoring output cap via parallel:64

Scoring decodes the whole prompt+candidate in a single llama_decode and
reads one logit row per candidate token. The vendored llama.cpp server
caps causal output rows at n_parallel, so the default of 1 aborts with
GGML_ASSERT(n_outputs_max <= cparams.n_outputs_max) on multi-token route
labels. Set options: [parallel:64] on both arch-router quant entries to
lift the cap; kv_unified (the grpc-server default) keeps the full context
per sequence, so this does not split the KV cache.

Assisted-by: claude-code:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

---------

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-06-12 16:21:15 +02:00

533 lines
18 KiB
Go

package e2e_test
import (
"context"
"fmt"
"net/http"
"os"
"path/filepath"
"testing"
"time"
"github.com/labstack/echo/v4"
localaiapp "github.com/mudler/LocalAI/core/application"
"github.com/mudler/LocalAI/core/config"
httpapi "github.com/mudler/LocalAI/core/http"
"github.com/mudler/LocalAI/pkg/system"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"github.com/phayes/freeport"
"gopkg.in/yaml.v3"
"github.com/mudler/xlog"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
var (
anthropicBaseURL string
ollamaBaseURL string
tmpDir string
backendPath string
modelsPath string
configPath string
app *echo.Echo
appCtx context.Context
appCancel context.CancelFunc
client openai.Client
apiPort int
apiURL string
mockBackendPath string
cloudProxyPath string
mcpServerURL string
mcpServerShutdown func()
localAIApp *localaiapp.Application
// Cloud-proxy fake upstreams. Live for the whole suite so the four
// cloud-proxy model YAMLs can point at their URLs at startup time.
cpOpenAIUpstream *fakeOpenAIUpstreamServer
cpAnthropicUpstream *fakeAnthropicUpstreamServer
)
var _ = BeforeSuite(func() {
var err error
// Create temporary directory
tmpDir, err = os.MkdirTemp("", "mock-backend-e2e-*")
Expect(err).ToNot(HaveOccurred())
backendPath = filepath.Join(tmpDir, "backends")
modelsPath = filepath.Join(tmpDir, "models")
Expect(os.MkdirAll(backendPath, 0755)).To(Succeed())
Expect(os.MkdirAll(modelsPath, 0755)).To(Succeed())
// Build mock backend
mockBackendDir := filepath.Join("..", "e2e", "mock-backend")
mockBackendPath = filepath.Join(backendPath, "mock-backend")
// Check if mock-backend binary exists in the mock-backend directory
possiblePaths := []string{
filepath.Join(mockBackendDir, "mock-backend"),
filepath.Join("tests", "e2e", "mock-backend", "mock-backend"),
filepath.Join("..", "..", "tests", "e2e", "mock-backend", "mock-backend"),
}
found := false
for _, p := range possiblePaths {
if _, err := os.Stat(p); err == nil {
mockBackendPath = p
found = true
break
}
}
if !found {
// Try to find it relative to current working directory
wd, _ := os.Getwd()
relPath := filepath.Join(wd, "..", "..", "tests", "e2e", "mock-backend", "mock-backend")
if _, err := os.Stat(relPath); err == nil {
mockBackendPath = relPath
found = true
}
}
Expect(found).To(BeTrue(), "mock-backend binary not found. Run 'make build-mock-backend' first")
// Make sure it's executable
Expect(os.Chmod(mockBackendPath, 0755)).To(Succeed())
// Create model config YAML
modelConfig := map[string]any{
"name": "mock-model",
"backend": "mock-backend",
"parameters": map[string]any{
"model": "mock-model.bin",
},
}
configPath = filepath.Join(modelsPath, "mock-model.yaml")
configYAML, err := yaml.Marshal(modelConfig)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(configPath, configYAML, 0644)).To(Succeed())
// Create model config for autoparser tests (NoGrammar so tool calls
// are driven entirely by the backend's ChatDeltas, not grammar enforcement)
autoparserConfig := map[string]any{
"name": "mock-model-autoparser",
"backend": "mock-backend",
"parameters": map[string]any{
"model": "mock-model.bin",
},
"function": map[string]any{
"grammar": map[string]any{
"disable": true,
},
},
}
autoparserPath := filepath.Join(modelsPath, "mock-model-autoparser.yaml")
autoparserYAML, err := yaml.Marshal(autoparserConfig)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(autoparserPath, autoparserYAML, 0644)).To(Succeed())
// Create model config for thinking model + autoparser tests.
// The chat template ends with <|channel>thought to simulate Gemma 4 thinking models.
// This triggers DetectThinkingStartToken and PrependThinkingTokenIfNeeded in the
// reasoning extraction path, reproducing a bug where clean content from the C++
// autoparser gets misclassified as unclosed reasoning.
thinkingAutoparserConfig := map[string]any{
"name": "mock-model-thinking-autoparser",
"backend": "mock-backend",
"parameters": map[string]any{
"model": "mock-model.bin",
},
"template": map[string]any{
"chat": "{{.Input}}\n<|turn>model\n<|channel>thought\n<channel|>",
},
"function": map[string]any{
"grammar": map[string]any{
"disable": true,
},
},
}
thinkingAutoparserPath := filepath.Join(modelsPath, "mock-model-thinking-autoparser.yaml")
thinkingAutoparserYAML, err := yaml.Marshal(thinkingAutoparserConfig)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(thinkingAutoparserPath, thinkingAutoparserYAML, 0644)).To(Succeed())
// Start mock MCP server and create MCP-enabled model config
mcpServerURL, mcpServerShutdown = startMockMCPServer()
mcpConfig := mcpModelConfig(mcpServerURL)
mcpConfigPath := filepath.Join(modelsPath, "mock-model-mcp.yaml")
mcpConfigYAML, err := yaml.Marshal(mcpConfig)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(mcpConfigPath, mcpConfigYAML, 0644)).To(Succeed())
// Create pipeline model configs for realtime API tests.
// Each component model uses the same mock-backend binary.
for _, name := range []string{"mock-vad", "mock-stt", "mock-llm", "mock-tts"} {
cfg := map[string]any{
"name": name,
"backend": "mock-backend",
"parameters": map[string]any{
"model": name + ".bin",
},
}
data, err := yaml.Marshal(cfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, name+".yaml"), data, 0644)).To(Succeed())
}
// Path-resolution model — declares relative draft_model / mmproj paths
// so the e2e test can confirm they arrive at the backend resolved
// against the models directory (regression guard for issue #9675).
pathResolutionCfg := map[string]any{
"name": "mock-model-path-resolution",
"backend": "mock-backend",
"parameters": map[string]any{
"model": "subdir/mock-main.bin",
},
"draft_model": "subdir/mock-draft.bin",
"mmproj": "subdir/mock-mmproj.bin",
}
pathResolutionData, err := yaml.Marshal(pathResolutionCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "mock-model-path-resolution.yaml"), pathResolutionData, 0644)).To(Succeed())
// Same but with an absolute draft_model — must not let a user-supplied
// config reach files outside the models directory. filepath.Join
// strips the leading slash, so /etc/passwd becomes <modelsPath>/etc/passwd.
pathEscapeCfg := map[string]any{
"name": "mock-model-path-escape",
"backend": "mock-backend",
"parameters": map[string]any{
"model": "subdir/mock-main.bin",
},
"draft_model": "/etc/passwd",
}
pathEscapeData, err := yaml.Marshal(pathEscapeCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "mock-model-path-escape.yaml"), pathEscapeData, 0644)).To(Succeed())
// Diarization model — known_usecases bypasses the FLAG_DIARIZATION
// backend-name guard so the /v1/audio/diarization route can dispatch
// to the mock backend.
diarizeCfg := map[string]any{
"name": "mock-diarize",
"backend": "mock-backend",
"known_usecases": []string{"FLAG_DIARIZATION"},
"parameters": map[string]any{
"model": "mock-diarize.bin",
},
}
diarizeData, err := yaml.Marshal(diarizeCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "mock-diarize.yaml"), diarizeData, 0644)).To(Succeed())
// Pipeline model that wires the component models together.
pipelineCfg := map[string]any{
"name": "realtime-pipeline",
"pipeline": map[string]any{
"vad": "mock-vad",
"transcription": "mock-stt",
"llm": "mock-llm",
"tts": "mock-tts",
},
}
pipelineData, err := yaml.Marshal(pipelineCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "realtime-pipeline.yaml"), pipelineData, 0644)).To(Succeed())
// Router model setup: a score classifier (mock-backend Score) selects
// between two candidate chat models based on keyword matches against the
// candidate label fragments. Exercises the full RouteModel middleware path
// — probe extraction, ScoreClassifier.fitMessages (with the classifier's
// real TokenizeString and ContextSize wired), Score RPC, and fanout to
// the chosen candidate. The classifier MUST carry a chat template, since
// buildClassifier now rejects routers whose classifier model has none.
chatMLTpl := map[string]any{
"chat": "{{.Input -}}\n<|im_start|>assistant\n",
"chat_message": "<|im_start|>{{ .RoleName }}\n{{ if .Content }}{{ .Content }}{{ end }}<|im_end|>",
}
classifierCfg := map[string]any{
"name": "mock-classifier",
"backend": "mock-backend",
"known_usecases": []string{"score"},
"context_size": 4096,
"stopwords": []string{"<|im_end|>"},
"parameters": map[string]any{"model": "mock-classifier.bin"},
"template": chatMLTpl,
}
classifierData, err := yaml.Marshal(classifierCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "mock-classifier.yaml"), classifierData, 0644)).To(Succeed())
for _, name := range []string{"mock-cand-casual", "mock-cand-code"} {
candCfg := map[string]any{
"name": name,
"backend": "mock-backend",
"known_usecases": []string{"chat"},
"parameters": map[string]any{"model": name + ".bin"},
}
candData, err := yaml.Marshal(candCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, name+".yaml"), candData, 0644)).To(Succeed())
}
routerCfg := map[string]any{
"name": "smart-router",
"known_usecases": []string{"chat"},
"router": map[string]any{
"classifier": "score",
"classifier_model": "mock-classifier",
"activation_threshold": 0.40,
"fallback": "mock-cand-casual",
"policies": []map[string]any{
{"label": "casual-chat", "description": "small talk and general conversation"},
{"label": "code-generation", "description": "writing or debugging code"},
{"label": "math-reasoning", "description": "arithmetic and word problems"},
},
"candidates": []map[string]any{
{"model": "mock-cand-casual", "labels": []string{"casual-chat"}},
{"model": "mock-cand-code", "labels": []string{"code-generation", "math-reasoning"}},
},
},
}
routerData, err := yaml.Marshal(routerCfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "smart-router.yaml"), routerData, 0644)).To(Succeed())
// If REALTIME_TEST_MODEL=realtime-test-pipeline, auto-create a pipeline
// config from the REALTIME_VAD/STT/LLM/TTS env vars so real-model tests
// can run without the user having to write a YAML file manually.
if os.Getenv("REALTIME_TEST_MODEL") == "realtime-test-pipeline" {
rtVAD := os.Getenv("REALTIME_VAD")
rtSTT := os.Getenv("REALTIME_STT")
rtLLM := os.Getenv("REALTIME_LLM")
rtTTS := os.Getenv("REALTIME_TTS")
if rtVAD != "" && rtSTT != "" && rtLLM != "" && rtTTS != "" {
testPipeline := map[string]any{
"name": "realtime-test-pipeline",
"pipeline": map[string]any{
"vad": rtVAD,
"transcription": rtSTT,
"llm": rtLLM,
"tts": rtTTS,
},
}
data, writeErr := yaml.Marshal(testPipeline)
Expect(writeErr).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, "realtime-test-pipeline.yaml"), data, 0644)).To(Succeed())
xlog.Info("created realtime-test-pipeline",
"vad", rtVAD, "stt", rtSTT, "llm", rtLLM, "tts", rtTTS)
}
}
// Import model configs from an external directory (e.g. real model YAMLs
// and weights mounted into a container). Symlinks avoid copying large files.
// Both files and directories are symlinked — multi-file backends like
// sherpa-onnx TTS expect their tokens.txt / lexicon.txt sidecars in the
// same directory as the .onnx, so we need whole-directory imports.
if rtModels := os.Getenv("REALTIME_MODELS_PATH"); rtModels != "" {
entries, err := os.ReadDir(rtModels)
Expect(err).ToNot(HaveOccurred())
for _, entry := range entries {
src := filepath.Join(rtModels, entry.Name())
dst := filepath.Join(modelsPath, entry.Name())
if _, err := os.Stat(dst); err == nil {
continue // don't overwrite mock configs
}
Expect(os.Symlink(src, dst)).To(Succeed())
}
}
// Set up system state. When REALTIME_BACKENDS_PATH is set, use it so the
// application can discover real backend binaries for real-model tests.
systemOpts := []system.SystemStateOptions{
system.WithModelPath(modelsPath),
}
if realBackends := os.Getenv("REALTIME_BACKENDS_PATH"); realBackends != "" {
systemOpts = append(systemOpts, system.WithBackendPath(realBackends))
} else {
systemOpts = append(systemOpts, system.WithBackendPath(backendPath))
}
// Cloud-proxy backend e2e setup. The cloud-proxy binary lives next
// to mock-backend and is registered under its canonical "cloud-proxy"
// name. Fake upstreams come up first so the model YAMLs can encode
// their URLs at startup time. Build is best-effort — when the binary
// isn't present, the cloud-proxy specs Skip and the rest of the
// suite is unaffected.
cloudProxyCandidates := []string{
filepath.Join("..", "e2e", "mock-backend", "cloud-proxy"),
filepath.Join("tests", "e2e", "mock-backend", "cloud-proxy"),
filepath.Join("..", "..", "tests", "e2e", "mock-backend", "cloud-proxy"),
}
for _, p := range cloudProxyCandidates {
if _, err := os.Stat(p); err == nil {
cloudProxyPath = p
break
}
}
if cloudProxyPath != "" {
Expect(os.Chmod(cloudProxyPath, 0755)).To(Succeed())
cpOpenAIUpstream = newFakeOpenAIUpstream()
cpAnthropicUpstream = newFakeAnthropicUpstream()
// API keys are read from env vars — set placeholder values so
// the cloud-proxy backend's Load() doesn't fail with "unset".
// The fake upstreams accept any auth header.
Expect(os.Setenv("CLOUD_PROXY_E2E_OPENAI_KEY", "sk-e2e-openai")).To(Succeed())
Expect(os.Setenv("CLOUD_PROXY_E2E_ANTHROPIC_KEY", "sk-ant-e2e")).To(Succeed())
cloudProxyConfigs := []map[string]any{
{
"name": "cp-passthrough-openai",
"backend": "cloud-proxy",
"parameters": map[string]any{
"model": "cloud-proxy-passthrough-openai.bin",
},
"proxy": map[string]any{
"mode": "passthrough",
"provider": "openai",
"upstream_url": cpOpenAIUpstream.URL() + "/v1/chat/completions",
"api_key_env": "CLOUD_PROXY_E2E_OPENAI_KEY",
},
},
{
"name": "cp-passthrough-anthropic",
"backend": "cloud-proxy",
"parameters": map[string]any{
"model": "cloud-proxy-passthrough-anthropic.bin",
},
"proxy": map[string]any{
"mode": "passthrough",
"provider": "anthropic",
"upstream_url": cpAnthropicUpstream.URL() + "/v1/messages",
"api_key_env": "CLOUD_PROXY_E2E_ANTHROPIC_KEY",
},
},
{
"name": "cp-translate-openai",
"backend": "cloud-proxy",
"parameters": map[string]any{
"model": "cloud-proxy-translate-openai.bin",
},
"proxy": map[string]any{
"mode": "translate",
"provider": "openai",
"upstream_url": cpOpenAIUpstream.URL() + "/v1/chat/completions",
"api_key_env": "CLOUD_PROXY_E2E_OPENAI_KEY",
},
},
{
"name": "cp-translate-anthropic",
"backend": "cloud-proxy",
"parameters": map[string]any{
"model": "cloud-proxy-translate-anthropic.bin",
},
"proxy": map[string]any{
"mode": "translate",
"provider": "anthropic",
"upstream_url": cpAnthropicUpstream.URL() + "/v1/messages",
"api_key_env": "CLOUD_PROXY_E2E_ANTHROPIC_KEY",
},
},
}
for _, cfg := range cloudProxyConfigs {
data, err := yaml.Marshal(cfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, cfg["name"].(string)+".yaml"), data, 0644)).To(Succeed())
}
}
systemState, err := system.GetSystemState(systemOpts...)
Expect(err).ToNot(HaveOccurred())
// Create application
appCtx, appCancel = context.WithCancel(context.Background())
// Create application instance (GeneratedContentDir so sound-generation/TTS can write files the handler sends)
generatedDir := filepath.Join(tmpDir, "generated")
Expect(os.MkdirAll(generatedDir, 0750)).To(Succeed())
localAIApp, err = localaiapp.New(
config.WithContext(appCtx),
config.WithSystemState(systemState),
config.WithDebug(true),
config.WithGeneratedContentDir(generatedDir),
)
Expect(err).ToNot(HaveOccurred())
// Register mock backend (always available for non-realtime tests).
localAIApp.ModelLoader().SetExternalBackend("mock-backend", mockBackendPath)
localAIApp.ModelLoader().SetExternalBackend("opus", mockBackendPath)
if cloudProxyPath != "" {
localAIApp.ModelLoader().SetExternalBackend("cloud-proxy", cloudProxyPath)
}
// Create HTTP app
app, err = httpapi.API(localAIApp)
Expect(err).ToNot(HaveOccurred())
// Get free port
port, err := freeport.GetFreePort()
Expect(err).ToNot(HaveOccurred())
apiPort = port
apiURL = fmt.Sprintf("http://127.0.0.1:%d/v1", apiPort)
// Anthropic SDK appends /v1/messages to base URL; use base without /v1 so requests go to /v1/messages
anthropicBaseURL = fmt.Sprintf("http://127.0.0.1:%d", apiPort)
// Ollama client uses base URL directly
ollamaBaseURL = fmt.Sprintf("http://127.0.0.1:%d", apiPort)
// Start server in goroutine
go func() {
if err := app.Start(fmt.Sprintf("127.0.0.1:%d", apiPort)); err != nil && err != http.ErrServerClosed {
xlog.Error("server error", "error", err)
}
}()
// Wait for server to be ready
client = openai.NewClient(option.WithBaseURL(apiURL))
Eventually(func() error {
_, err := client.Models.List(context.TODO())
return err
}, "2m").ShouldNot(HaveOccurred())
})
var _ = AfterSuite(func() {
// Synchronous shutdown — the context-cancel goroutine in application.New
// runs the same cleanup asynchronously, which races test-binary exit and
// orphans spawned mock-backend children to init.
if localAIApp != nil {
if err := localAIApp.Shutdown(); err != nil {
xlog.Error("error shutting down application", "error", err)
}
}
if appCancel != nil {
appCancel()
}
if app != nil {
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
Expect(app.Shutdown(ctx)).To(Succeed())
}
if mcpServerShutdown != nil {
mcpServerShutdown()
}
if cpOpenAIUpstream != nil {
cpOpenAIUpstream.Close()
}
if cpAnthropicUpstream != nil {
cpAnthropicUpstream.Close()
}
if tmpDir != "" {
os.RemoveAll(tmpDir)
}
})
func TestLocalAI(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "LocalAI E2E test suite")
}