Files
LocalAI/core/http/routes/localai.go
LocalAI [bot] b0959d4756 feat(api): add GET /v1/models/capabilities endpoint (#10687)
Additive superset of /v1/models that enriches each model entry with the
capabilities it supports plus its input/output modalities
(text / image / audio / video). Clients that only understand /v1/models
are unaffected -- they simply never call the new route.

Audio and video *input* are derived from the model's multimodal limits
(vLLM limit_mm_per_prompt), which no single usecase FLAG expresses. That
gap is exactly why a plain capability list is insufficient and this
enriched endpoint exists: an attachment router can now decide whether an
image/audio/video file can go to the active model directly, or must be
converted/transcribed first.

Capability derivation lives in core/config as the single source of truth
(ModelConfig.Capabilities / InputModalities / OutputModalities /
VisionSupported / ...); the Ollama capability surface now delegates to
it instead of keeping a parallel copy. Vision is gated on
chat/completion capability so a MediaMarker hydrated onto a non-chat
model (e.g. a pure ASR/TTS backend) no longer reports a false vision
capability.

Read-only listing: no new FLAG_* flag, reuses the existing `models`
swagger tag, and intentionally exposes no MCP admin tool (there is
nothing to manage conversationally).

Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-05 08:51:55 +02:00

453 lines
22 KiB
Go

package routes
import (
"github.com/labstack/echo/v4"
"github.com/mudler/LocalAI/core/application"
"github.com/mudler/LocalAI/core/config"
"github.com/mudler/LocalAI/core/http/endpoints/localai"
mcpTools "github.com/mudler/LocalAI/core/http/endpoints/mcp"
"github.com/mudler/LocalAI/core/http/middleware"
"github.com/mudler/LocalAI/core/schema"
"github.com/mudler/LocalAI/core/services/galleryop"
"github.com/mudler/LocalAI/core/services/monitoring"
"github.com/mudler/LocalAI/core/templates"
"github.com/mudler/LocalAI/internal"
"github.com/mudler/LocalAI/pkg/model"
echoswagger "github.com/swaggo/echo-swagger"
)
func RegisterLocalAIRoutes(router *echo.Echo,
requestExtractor *middleware.RequestExtractor,
cl *config.ModelConfigLoader,
ml *model.ModelLoader,
appConfig *config.ApplicationConfig,
galleryService *galleryop.GalleryService,
opcache *galleryop.OpCache,
evaluator *templates.Evaluator,
app *application.Application,
adminMiddleware echo.MiddlewareFunc,
mcpJobsMw echo.MiddlewareFunc,
mcpMw echo.MiddlewareFunc) {
router.GET("/swagger/*", echoswagger.EchoWrapHandler(func(c *echoswagger.Config) {
c.URLs = []string{"doc.json"}
}))
// LocalAI API endpoints
if !appConfig.DisableGalleryEndpoint {
// Import model page
router.GET("/import-model", func(c echo.Context) error {
return c.Render(200, "views/model-editor", map[string]any{
"Title": "LocalAI - Import Model",
"BaseURL": middleware.BaseURL(c),
"Version": internal.PrintableVersion(),
"DisableRuntimeSettings": appConfig.DisableRuntimeSettings,
})
}, adminMiddleware)
// Edit model page
router.GET("/models/edit/:name", localai.GetEditModelPage(cl, appConfig), adminMiddleware)
modelGalleryEndpointService := localai.CreateModelGalleryEndpointService(appConfig.Galleries, appConfig.BackendGalleries, appConfig.SystemState, galleryService, cl)
router.POST("/models/apply", modelGalleryEndpointService.ApplyModelGalleryEndpoint(), adminMiddleware)
router.POST("/models/delete/:name", modelGalleryEndpointService.DeleteModelGalleryEndpoint(), adminMiddleware)
router.GET("/models/available", modelGalleryEndpointService.ListModelFromGalleryEndpoint(appConfig.SystemState), adminMiddleware)
router.GET("/models/galleries", modelGalleryEndpointService.ListModelGalleriesEndpoint(), adminMiddleware)
router.GET("/models/jobs/:uuid", modelGalleryEndpointService.GetOpStatusEndpoint(), adminMiddleware)
router.GET("/models/jobs", modelGalleryEndpointService.GetAllStatusEndpoint(), adminMiddleware)
backendGalleryEndpointService := localai.CreateBackendEndpointService(
appConfig.BackendGalleries,
appConfig.SystemState,
galleryService,
app.UpgradeChecker())
router.POST("/backends/apply", backendGalleryEndpointService.ApplyBackendEndpoint(appConfig.SystemState), adminMiddleware)
router.POST("/backends/delete/:name", backendGalleryEndpointService.DeleteBackendEndpoint(), adminMiddleware)
router.GET("/backends", backendGalleryEndpointService.ListBackendsEndpoint(), adminMiddleware)
router.GET("/backends/available", backendGalleryEndpointService.ListAvailableBackendsEndpoint(appConfig.SystemState), adminMiddleware)
router.GET("/backends/known", backendGalleryEndpointService.ListKnownBackendsEndpoint(appConfig.SystemState), adminMiddleware)
router.GET("/backends/galleries", backendGalleryEndpointService.ListBackendGalleriesEndpoint(), adminMiddleware)
router.GET("/backends/jobs/:uuid", backendGalleryEndpointService.GetOpStatusEndpoint(), adminMiddleware)
router.GET("/backends/upgrades", backendGalleryEndpointService.GetUpgradesEndpoint(), adminMiddleware)
router.POST("/backends/upgrades/check", backendGalleryEndpointService.CheckUpgradesEndpoint(), adminMiddleware)
router.POST("/backends/upgrade/:name", backendGalleryEndpointService.UpgradeBackendEndpoint(), adminMiddleware)
// Custom model import endpoint
router.POST("/models/import", localai.ImportModelEndpoint(cl, galleryService, appConfig), adminMiddleware)
// URI model import endpoint
router.POST("/models/import-uri", localai.ImportModelURIEndpoint(cl, appConfig, galleryService, opcache), adminMiddleware)
// Custom model edit endpoint
router.POST("/models/edit/:name", localai.EditModelEndpoint(cl, ml, galleryService, appConfig), adminMiddleware)
// List model aliases endpoint
router.GET("/api/aliases", localai.ListAliasesEndpoint(cl), adminMiddleware)
// Toggle model enable/disable endpoint
router.PUT("/models/toggle-state/:name/:action", localai.ToggleStateModelEndpoint(cl, ml, galleryService, appConfig), adminMiddleware)
// Toggle model pinned status endpoint
router.PUT("/models/toggle-pinned/:name/:action", localai.TogglePinnedModelEndpoint(cl, appConfig, func() {
app.SyncPinnedModelsToWatchdog()
}), adminMiddleware)
// Reload models endpoint
router.POST("/models/reload", localai.ReloadModelsEndpoint(cl, appConfig), adminMiddleware)
}
detectionHandler := localai.DetectionEndpoint(cl, ml, appConfig)
router.POST("/v1/detection",
detectionHandler,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_DETECTION)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.DetectionRequest) }))
depthHandler := localai.DepthEndpoint(cl, ml, appConfig)
router.POST("/v1/depth",
depthHandler,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_DEPTH)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.DepthRequest) }))
// Face recognition endpoints
faceMw := []echo.MiddlewareFunc{
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_FACE_RECOGNITION)),
}
router.POST("/v1/face/verify",
localai.FaceVerifyEndpoint(cl, ml, appConfig),
append(faceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.FaceVerifyRequest) }))...)
router.POST("/v1/face/analyze",
localai.FaceAnalyzeEndpoint(cl, ml, appConfig),
append(faceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.FaceAnalyzeRequest) }))...)
router.POST("/v1/face/embed",
localai.FaceEmbedEndpoint(cl, ml, appConfig),
append(faceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.FaceEmbedRequest) }))...)
router.POST("/v1/face/register",
localai.FaceRegisterEndpoint(cl, ml, appConfig, app.FaceRegistry()),
append(faceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.FaceRegisterRequest) }))...)
router.POST("/v1/face/identify",
localai.FaceIdentifyEndpoint(cl, ml, appConfig, app.FaceRegistry()),
append(faceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.FaceIdentifyRequest) }))...)
// Forget does not load a face model — it only needs the registry.
router.POST("/v1/face/forget", localai.FaceForgetEndpoint(app.FaceRegistry()))
// Voice (speaker) recognition endpoints
voiceMw := []echo.MiddlewareFunc{
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_SPEAKER_RECOGNITION)),
}
router.POST("/v1/voice/verify",
localai.VoiceVerifyEndpoint(cl, ml, appConfig),
append(voiceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VoiceVerifyRequest) }))...)
router.POST("/v1/voice/analyze",
localai.VoiceAnalyzeEndpoint(cl, ml, appConfig),
append(voiceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VoiceAnalyzeRequest) }))...)
router.POST("/v1/voice/embed",
localai.VoiceEmbedEndpoint(cl, ml, appConfig),
append(voiceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VoiceEmbedRequest) }))...)
router.POST("/v1/voice/register",
localai.VoiceRegisterEndpoint(cl, ml, appConfig, app.VoiceRegistry()),
append(voiceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VoiceRegisterRequest) }))...)
router.POST("/v1/voice/identify",
localai.VoiceIdentifyEndpoint(cl, ml, appConfig, app.VoiceRegistry()),
append(voiceMw, requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VoiceIdentifyRequest) }))...)
// Forget does not load a voice model — it only needs the registry.
router.POST("/v1/voice/forget", localai.VoiceForgetEndpoint(app.VoiceRegistry()))
ttsHandler := localai.TTSEndpoint(cl, ml, appConfig)
router.POST("/tts",
ttsHandler,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_TTS)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.TTSRequest) }))
// audio transform (echo cancellation, noise suppression, voice conversion, etc.)
audioTransformHandler := localai.AudioTransformEndpoint(cl, ml, appConfig)
audioTransformMiddleware := []echo.MiddlewareFunc{
middleware.TraceMiddleware(app),
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_AUDIO_TRANSFORM)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.AudioTransformRequest) }),
}
router.POST("/audio/transformations", audioTransformHandler, audioTransformMiddleware...)
router.POST("/audio/transform", audioTransformHandler, audioTransformMiddleware...)
// audio transform streaming WS (sits before the request-extractor pipeline —
// the upgrade is handled by the endpoint itself).
router.GET("/audio/transformations/stream",
localai.AudioTransformStreamEndpoint(app),
middleware.TraceMiddleware(app))
vadHandler := localai.VADEndpoint(cl, ml, appConfig)
vadNodeHeader := middleware.ExposeNodeHeader(appConfig)
router.POST("/vad",
vadHandler,
vadNodeHeader,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_VAD)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VADRequest) }))
router.POST("/v1/vad",
vadHandler,
vadNodeHeader,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_VAD)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VADRequest) }))
// Stores
router.POST("/stores/set", localai.StoresSetEndpoint(ml, appConfig))
router.POST("/stores/delete", localai.StoresDeleteEndpoint(ml, appConfig))
router.POST("/stores/get", localai.StoresGetEndpoint(ml, appConfig))
router.POST("/stores/find", localai.StoresFindEndpoint(ml, appConfig))
if !appConfig.DisableMetrics {
router.GET("/metrics", localai.LocalAIMetricsEndpoint(), adminMiddleware)
}
videoHandler := localai.VideoEndpoint(cl, ml, appConfig)
router.POST("/video",
videoHandler,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_VIDEO)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.VideoRequest) }))
// Backend Statistics Module
// TODO: Should these use standard middlewares? Refactor later, they are extremely simple.
backendMonitorService := monitoring.NewBackendMonitorService(ml, cl, appConfig) // Split out for now
router.GET("/backend/monitor", localai.BackendMonitorEndpoint(backendMonitorService), adminMiddleware)
router.POST("/backend/shutdown", localai.BackendShutdownEndpoint(backendMonitorService), adminMiddleware)
// /backend/load is the inverse of /backend/shutdown: pre-load a model (or all
// of a realtime pipeline's sub-models) into memory so clients can drive
// warm-up explicitly instead of paying the cold-start cost on first use.
router.POST("/backend/load", localai.LoadModelEndpoint(cl, ml, appConfig), adminMiddleware)
// The v1/* urls are exactly the same as above - makes local e2e testing easier if they are registered.
router.GET("/v1/backend/monitor", localai.BackendMonitorEndpoint(backendMonitorService), adminMiddleware)
router.POST("/v1/backend/shutdown", localai.BackendShutdownEndpoint(backendMonitorService), adminMiddleware)
router.POST("/v1/backend/load", localai.LoadModelEndpoint(cl, ml, appConfig), adminMiddleware)
// Traces and backend logs (monitoring)
router.GET("/api/traces", localai.GetAPITracesEndpoint(), adminMiddleware)
router.POST("/api/traces/clear", localai.ClearAPITracesEndpoint(), adminMiddleware)
router.GET("/api/backend-traces", localai.GetBackendTracesEndpoint(), adminMiddleware)
router.POST("/api/backend-traces/clear", localai.ClearBackendTracesEndpoint(), adminMiddleware)
// Backend logs — standalone only (distributed mode uses node-proxied routes)
if !appConfig.Distributed.Enabled {
router.GET("/api/backend-logs", localai.ListBackendLogsEndpoint(ml), adminMiddleware)
router.GET("/api/backend-logs/:modelId", localai.GetBackendLogsEndpoint(ml), adminMiddleware)
router.POST("/api/backend-logs/:modelId/clear", localai.ClearBackendLogsEndpoint(ml), adminMiddleware)
router.GET("/ws/backend-logs/:modelId", localai.BackendLogsWebSocketEndpoint(ml), adminMiddleware)
}
// p2p
router.GET("/api/p2p", localai.ShowP2PNodes(appConfig), adminMiddleware)
router.GET("/api/p2p/token", localai.ShowP2PToken(appConfig), adminMiddleware)
// Score (logprob over candidate continuations) — admin-only smoke-test
// surface for the gRPC Score primitive. Production consumers should
// use application.ScorerFactory() directly rather than HTTP.
router.POST("/api/score", localai.ScoreEndpoint(cl, ml, appConfig), adminMiddleware)
router.GET("/version", func(c echo.Context) error {
return c.JSON(200, struct {
Version string `json:"version"`
}{Version: internal.PrintableVersion()})
})
// Agent discovery endpoint
router.GET("/.well-known/localai.json", func(c echo.Context) error {
monitoringRoutes := map[string]string{
"metrics": "/metrics",
"backend_monitor": "/backend/monitor",
"backend_shutdown": "/backend/shutdown",
"backend_load": "/backend/load",
"system": "/system",
"version": "/version",
"traces": "/api/traces",
"traces_clear": "/api/traces/clear",
"backend_traces": "/api/backend-traces",
"backend_traces_clear": "/api/backend-traces/clear",
}
if !appConfig.Distributed.Enabled {
monitoringRoutes["backend_logs"] = "/api/backend-logs"
monitoringRoutes["backend_logs_model"] = "/api/backend-logs/:modelId"
monitoringRoutes["backend_logs_clear"] = "/api/backend-logs/:modelId/clear"
monitoringRoutes["backend_logs_ws"] = "/ws/backend-logs/:modelId"
} else {
monitoringRoutes["node_backend_logs"] = "/api/nodes/:id/backend-logs"
monitoringRoutes["node_backend_logs_model"] = "/api/nodes/:id/backend-logs/:modelId"
monitoringRoutes["node_backend_logs_ws"] = "/ws/nodes/:id/backend-logs/:modelId"
}
return c.JSON(200, map[string]any{
"version": internal.PrintableVersion(),
// Flat endpoint list for backwards compatibility
"endpoints": map[string]any{
"models": "/v1/models",
"models_capabilities": "/v1/models/capabilities",
"chat_completions": "/v1/chat/completions",
"completions": "/v1/completions",
"embeddings": "/v1/embeddings",
"config_metadata": "/api/models/config-metadata",
"config_json": "/api/models/config-json/:name",
"config_patch": "/api/models/config-json/:name",
"autocomplete": "/api/models/config-metadata/autocomplete/:provider",
"vram_estimate": "/api/models/vram-estimate",
"tts": "/tts",
"transcription": "/v1/audio/transcriptions",
"image_generation": "/v1/images/generations",
"swagger": "/swagger/index.html",
"instructions": "/api/instructions",
},
// Categorized endpoint groups for structured discovery
"endpoint_groups": map[string]any{
"openai_compatible": map[string]string{
"models": "/v1/models",
"models_capabilities": "/v1/models/capabilities",
"chat_completions": "/v1/chat/completions",
"completions": "/v1/completions",
"embeddings": "/v1/embeddings",
"transcription": "/v1/audio/transcriptions",
"diarization": "/v1/audio/diarization",
"sound_classification": "/v1/audio/classification",
"image_generation": "/v1/images/generations",
},
"config_management": map[string]string{
"config_metadata": "/api/models/config-metadata",
"config_json": "/api/models/config-json/:name",
"config_patch": "/api/models/config-json/:name",
"autocomplete": "/api/models/config-metadata/autocomplete/:provider",
"vram_estimate": "/api/models/vram-estimate",
},
"model_management": map[string]string{
"list_gallery": "/models/available",
"install": "/models/apply",
"delete": "/models/delete/:name",
"edit": "/models/edit/:name",
"import": "/models/import",
"reload": "/models/reload",
"list_aliases": "/api/aliases",
},
"ai_functions": map[string]string{
"tts": "/tts",
"vad": "/vad",
"video": "/video",
"detection": "/v1/detection",
"tokenize": "/v1/tokenize",
},
"monitoring": monitoringRoutes,
"mcp": map[string]string{
"chat_completions": "/v1/mcp/chat/completions",
"servers": "/v1/mcp/servers/:model",
"prompts": "/v1/mcp/prompts/:model",
"resources": "/v1/mcp/resources/:model",
},
"p2p": map[string]string{
"nodes": "/api/p2p",
"token": "/api/p2p/token",
},
"agents": map[string]string{
"tasks": "/api/agent/tasks",
"jobs": "/api/agent/jobs",
"execute": "/api/agent/jobs/execute",
},
"settings": map[string]string{
"get": "/api/settings",
"update": "/api/settings",
},
"stores": map[string]string{
"set": "/stores/set",
"get": "/stores/get",
"find": "/stores/find",
"delete": "/stores/delete",
},
"docs": map[string]string{
"swagger": "/swagger/index.html",
"instructions": "/api/instructions",
},
},
"capabilities": map[string]bool{
"config_metadata": true,
"config_patch": true,
"vram_estimate": true,
"mcp": !appConfig.DisableMCP,
"agents": appConfig.AgentPool.Enabled,
"p2p": appConfig.P2PToken != "",
"tracing": true,
},
})
})
// API instructions for agent discovery (no auth — agents should discover these without credentials)
router.GET("/api/instructions", localai.ListAPIInstructionsEndpoint())
router.GET("/api/instructions/:name", localai.GetAPIInstructionEndpoint())
router.GET("/api/features", func(c echo.Context) error {
return c.JSON(200, map[string]bool{
"agents": appConfig.AgentPool.Enabled,
"mcp": !appConfig.DisableMCP,
"fine_tuning": true,
"quantization": true,
"distributed": appConfig.Distributed.Enabled,
"localai_assistant": !appConfig.DisableLocalAIAssistant && app.LocalAIAssistant() != nil,
})
})
router.GET("/system", localai.SystemInformations(ml, appConfig), adminMiddleware)
// misc
tokenizeHandler := localai.TokenizeEndpoint(cl, ml, appConfig)
router.POST("/v1/tokenize",
tokenizeHandler,
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_TOKENIZE)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.TokenizeRequest) }))
// MCP endpoint - supports both streaming and non-streaming modes
// Note: streaming mode is NOT compatible with the OpenAI apis. We have a set which streams more states.
if evaluator != nil && !appConfig.DisableMCP {
var mcpNATS mcpTools.MCPNATSClient
if d := app.Distributed(); d != nil {
mcpNATS = d.Nats
}
mcpStreamHandler := localai.MCPEndpoint(cl, ml, evaluator, appConfig, mcpNATS)
mcpStreamMiddleware := []echo.MiddlewareFunc{
requestExtractor.BuildFilteredFirstAvailableDefaultModel(config.BuildUsecaseFilterFn(config.FLAG_CHAT)),
requestExtractor.SetModelAndConfig(func() schema.LocalAIRequest { return new(schema.OpenAIRequest) }),
func(next echo.HandlerFunc) echo.HandlerFunc {
return func(c echo.Context) error {
if err := requestExtractor.SetOpenAIRequest(c); err != nil {
return err
}
return next(c)
}
},
}
router.POST("/v1/mcp/chat/completions", mcpStreamHandler, mcpStreamMiddleware...)
router.POST("/mcp/v1/chat/completions", mcpStreamHandler, mcpStreamMiddleware...)
router.POST("/mcp/chat/completions", mcpStreamHandler, mcpStreamMiddleware...)
// MCP server listing endpoint
router.GET("/v1/mcp/servers/:model", localai.MCPServersEndpoint(cl, appConfig, mcpNATS), mcpMw)
// MCP prompts endpoints
router.GET("/v1/mcp/prompts/:model", localai.MCPPromptsEndpoint(cl, appConfig), mcpMw)
router.POST("/v1/mcp/prompts/:model/:prompt", localai.MCPGetPromptEndpoint(cl, appConfig), mcpMw)
// MCP resources endpoints
router.GET("/v1/mcp/resources/:model", localai.MCPResourcesEndpoint(cl, appConfig), mcpMw)
router.POST("/v1/mcp/resources/:model/read", localai.MCPReadResourceEndpoint(cl, appConfig), mcpMw)
// CORS proxy for client-side MCP connections
router.GET("/api/cors-proxy", localai.CORSProxyEndpoint(appConfig), mcpMw)
router.POST("/api/cors-proxy", localai.CORSProxyEndpoint(appConfig), mcpMw)
router.OPTIONS("/api/cors-proxy", localai.CORSProxyOptionsEndpoint())
}
// Agent job routes (MCP CI Jobs — requires MCP to be enabled)
if app != nil && app.AgentJobService() != nil && !appConfig.DisableMCP {
router.POST("/api/agent/tasks", localai.CreateTaskEndpoint(app), mcpJobsMw)
router.PUT("/api/agent/tasks/:id", localai.UpdateTaskEndpoint(app), mcpJobsMw)
router.DELETE("/api/agent/tasks/:id", localai.DeleteTaskEndpoint(app), mcpJobsMw)
router.GET("/api/agent/tasks", localai.ListTasksEndpoint(app), mcpJobsMw)
router.GET("/api/agent/tasks/:id", localai.GetTaskEndpoint(app), mcpJobsMw)
router.POST("/api/agent/jobs/execute", localai.ExecuteJobEndpoint(app), mcpJobsMw)
router.GET("/api/agent/jobs/:id", localai.GetJobEndpoint(app), mcpJobsMw)
router.GET("/api/agent/jobs", localai.ListJobsEndpoint(app), mcpJobsMw)
router.POST("/api/agent/jobs/:id/cancel", localai.CancelJobEndpoint(app), mcpJobsMw)
router.DELETE("/api/agent/jobs/:id", localai.DeleteJobEndpoint(app), mcpJobsMw)
router.POST("/api/agent/tasks/:name/execute", localai.ExecuteTaskByNameEndpoint(app), mcpJobsMw)
}
}