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use serde::Serialize;
use crate::app_state::AppState;
const MASTER_MODEL: &str = "Maris Core Reasoning";
#[derive(Serialize, Clone)]
pub struct MasterModelInfo {
pub name: &'static str,
pub role: &'static str,
pub routing_strategy: &'static str,
pub primary_capabilities: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct SpecialistBranch {
pub capability: &'static str,
pub branch: &'static str,
pub kind: &'static str,
pub profile: &'static str,
pub model: &'static str,
pub endpoint: &'static str,
pub studio: &'static str,
pub description: &'static str,
}
#[derive(Serialize, Clone)]
pub struct VisionModule {
pub capability: &'static str,
pub title: &'static str,
pub stage: &'static str,
pub outputs: Vec<&'static str>,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct CapabilityEntry {
pub id: &'static str,
pub title: &'static str,
pub surface: &'static str,
pub runtime: &'static str,
pub lifecycle: &'static str,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct CapabilityDomain {
pub domain: &'static str,
pub description: &'static str,
pub capabilities: Vec<CapabilityEntry>,
}
#[derive(Serialize, Clone)]
pub struct GovernanceSection {
pub tenancy_model: Vec<&'static str>,
pub permissions_model: Vec<&'static str>,
pub audit_model: Vec<&'static str>,
pub policy_model: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct EventModel {
pub timeline_stream: &'static str,
pub event_types: Vec<&'static str>,
pub metrics: Vec<&'static str>,
pub usage_dimensions: Vec<&'static str>,
pub cost_dimensions: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct MemoryMode {
pub id: &'static str,
pub title: &'static str,
pub inputs: Vec<&'static str>,
pub controls: Vec<&'static str>,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct MemoryManifest {
pub graph_model: &'static str,
pub ingestion_pipeline: Vec<&'static str>,
pub retrieval_policies: Vec<&'static str>,
pub modes: Vec<MemoryMode>,
}
#[derive(Serialize, Clone)]
pub struct ToolManifest {
pub id: &'static str,
pub title: &'static str,
pub version: &'static str,
pub category: &'static str,
pub runtime: &'static str,
pub permissions: Vec<&'static str>,
pub sandbox: &'static str,
pub quota: &'static str,
pub health: &'static str,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct ToolingManifest {
pub runtime_contract: Vec<&'static str>,
pub discovery: Vec<&'static str>,
pub tools: Vec<ToolManifest>,
}
#[derive(Serialize, Clone)]
pub struct AutonomousRuntimeManifest {
pub stream_transport: &'static str,
pub operator_surfaces: Vec<&'static str>,
pub agent_roles: Vec<&'static str>,
pub replay_features: Vec<&'static str>,
pub approval_features: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct EvalSuiteManifest {
pub id: &'static str,
pub title: &'static str,
pub focus: &'static str,
pub cadence: &'static str,
pub automation: &'static str,
pub signals: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct RegressionSuiteManifest {
pub id: &'static str,
pub title: &'static str,
pub scope: &'static str,
pub trigger: &'static str,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct OutcomeMetricManifest {
pub id: &'static str,
pub title: &'static str,
pub weight_percent: u8,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct ClosedLoopManifest {
pub failure_sources: Vec<&'static str>,
pub recommendation_targets: Vec<&'static str>,
pub safe_optimization_controls: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct LeaderboardManifest {
pub title: &'static str,
pub ranking_dimensions: Vec<&'static str>,
pub refresh_policy: &'static str,
pub benchmark_surfaces: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct SelfImprovementManifest {
pub eval_suites: Vec<EvalSuiteManifest>,
pub regression_suites: Vec<RegressionSuiteManifest>,
pub outcome_metrics: Vec<OutcomeMetricManifest>,
pub closed_loop: ClosedLoopManifest,
pub leaderboard: LeaderboardManifest,
}
#[derive(Serialize, Clone)]
pub struct RuntimeCapability {
pub id: &'static str,
pub title: &'static str,
pub scope: &'static str,
pub summary: &'static str,
}
#[derive(Serialize, Clone)]
pub struct ProcessRuntimeManifest {
pub runtime_surfaces: Vec<&'static str>,
pub background_capabilities: Vec<RuntimeCapability>,
pub secrets_handling: Vec<&'static str>,
pub environment_profiles: Vec<&'static str>,
pub artifact_store: Vec<&'static str>,
pub workspace_model: Vec<&'static str>,
pub operations_console: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct PluginPlatformManifest {
pub manifest_contract: Vec<&'static str>,
pub review_process: Vec<&'static str>,
pub signature_trust: Vec<&'static str>,
pub permissions_model: Vec<&'static str>,
pub billing_hooks: Vec<&'static str>,
pub lifecycle_management: Vec<&'static str>,
pub admin_approval_model: Vec<&'static str>,
pub listing_metadata: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct TranslationLayerManifest {
pub translation_planes: Vec<&'static str>,
pub locale_aware_ux: Vec<&'static str>,
pub prompt_normalization: Vec<&'static str>,
pub cross_lingual_memory: Vec<&'static str>,
pub multimodal_consistency: Vec<&'static str>,
pub terminology_dictionaries: Vec<&'static str>,
pub persona_localization: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct PlatformContractObject {
pub id: &'static str,
pub title: &'static str,
pub summary: &'static str,
pub primary_store: &'static str,
pub api_contract: &'static str,
}
#[derive(Serialize, Clone)]
pub struct PlatformContractsManifest {
pub schema_path: &'static str,
pub sdk_contracts: Vec<&'static str>,
pub timeline_model: Vec<&'static str>,
pub core_objects: Vec<PlatformContractObject>,
}
#[derive(Serialize, Clone)]
pub struct HealthSignalManifest {
pub id: &'static str,
pub title: &'static str,
pub track: &'static str,
pub recovery_levers: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct DiagnosticsManifest {
pub incident_fields: Vec<&'static str>,
pub health_signals: Vec<HealthSignalManifest>,
pub guardrail_actions: Vec<&'static str>,
pub degradation_modes: Vec<&'static str>,
pub recovery_actions: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct CloudCapabilityManifest {
pub identity_objects: Vec<&'static str>,
pub access_controls: Vec<&'static str>,
pub billing_objects: Vec<&'static str>,
pub compliance_controls: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct RoboticsCapabilityManifest {
pub separation_boundary: Vec<&'static str>,
pub device_registry: Vec<&'static str>,
pub execution_plane: Vec<&'static str>,
pub safety_controls: Vec<&'static str>,
pub simulator_workflow: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct OperatorOsManifest {
pub centers: Vec<&'static str>,
pub shared_models: Vec<&'static str>,
pub shell_properties: Vec<&'static str>,
pub external_contracts: Vec<&'static str>,
}
#[derive(Serialize, Clone)]
pub struct SystemInfo {
pub name: &'static str,
pub description: &'static str,
pub capabilities: Vec<&'static str>,
pub model: &'static str,
pub author: String,
pub orchestration_mode: &'static str,
pub master_model: MasterModelInfo,
pub branches: Vec<SpecialistBranch>,
pub vision_stack: Vec<VisionModule>,
pub vision_guardrails: Vec<&'static str>,
pub capability_registry: Vec<CapabilityDomain>,
pub governance: GovernanceSection,
pub event_model: EventModel,
pub memory_manifest: MemoryManifest,
pub tooling_manifest: ToolingManifest,
pub autonomous_runtime: AutonomousRuntimeManifest,
pub self_improvement: SelfImprovementManifest,
pub process_runtime: ProcessRuntimeManifest,
pub plugin_platform: PluginPlatformManifest,
pub translation_layer: TranslationLayerManifest,
pub platform_contracts: PlatformContractsManifest,
pub diagnostics: DiagnosticsManifest,
pub cloud: CloudCapabilityManifest,
pub robotics: RoboticsCapabilityManifest,
pub operator_os: OperatorOsManifest,
}
pub async fn system_info(State(state): State<AppState>) -> Json<SystemInfo> {
Json(build_platform_manifest(build_author(&state)))
}
pub fn build_author(state: &AppState) -> String {
format!(
"{} — {}",
state
.settings
.owner_display_name
.clone()
.unwrap_or_else(|| "Māris".to_string()),
state.settings.owner_title
)
}
pub fn build_platform_manifest(author: String) -> SystemInfo {
let branches = vec![
SpecialistBranch {
capability: "text_chat",
branch: "master",
kind: "master",
profile: "general",
model: MASTER_MODEL,
endpoint: "/api/chat",
studio: "/chat",
description: "Galvenais reasoning un sarunu atzars ikdienas dialogam.",
},
SpecialistBranch {
capability: "code_generation",
branch: "coder",
kind: "adapter",
profile: "coder",
model: MASTER_MODEL,
endpoint: "/api/code",
studio: "/code",
description: "Programmēšanas atzars tehniskiem uzdevumiem un koda ģenerēšanai.",
},
SpecialistBranch {
capability: "autonomous_tasks",
branch: "planner",
kind: "adapter",
profile: "planner",
model: MASTER_MODEL,
endpoint: "/api/autonomous/start",
studio: "/autonomous",
description: "Plānošanas atzars ilgākiem mērķiem un secīgiem uzdevumiem.",
},
SpecialistBranch {
capability: "voice_conversation",
branch: "voice",
kind: "specialist_model",
profile: "voice",
model: "Maris Voice Runtime",
endpoint: "/api/voice/synthesize",
studio: "/voice",
description: "Balss atzars STT/TTS darbībām un runas sesijām.",
},
SpecialistBranch {
capability: "image_generation",
branch: "vision",
kind: "specialist_model",
profile: "image",
model: "Maris Vision Canvas",
endpoint: "/api/images",
studio: "/images",
description: "Attēlu ģenerēšanas modelis vizuālajai produkcijai.",
},
SpecialistBranch {
capability: "music_generation",
branch: "music",
kind: "specialist_model",
profile: "music",
model: "Maris Audio Composer",
endpoint: "/api/music",
studio: "/music",
description: "Mūzikas ģenerēšanas modelis audio kompozīcijai.",
},
SpecialistBranch {
capability: "video_generation",
branch: "video",
kind: "specialist_model",
profile: "video",
model: "Maris Motion Studio",
endpoint: "/api/video",
studio: "/video",
description: "Video ģenerēšanas modelis renderiem un klipiem.",
},
];
let vision_stack = vec![
VisionModule {
capability: "object_detection",
title: "Object detection",
stage: "core",
outputs: vec!["bounding boxes", "classes", "confidence"],
summary: "Atrod cilvēkus, mašīnas, telefonus, krēslus un citus objektus vienā kadrā.",
},
VisionModule {
capability: "object_tracking",
title: "Object tracking",
stage: "core",
outputs: vec!["track IDs", "trajectories", "speed hints"],
summary: "Seko objektiem laikā un saglabā identitāti starp kadriem.",
},
VisionModule {
capability: "segmentation",
title: "Segmentation",
stage: "core",
outputs: vec!["instance masks", "semantic masks", "polygons"],
summary: "Dod precīzas objektu formas, ne tikai rāmjus ap tiem.",
},
VisionModule {
capability: "pose_estimation",
title: "Pose estimation",
stage: "core",
outputs: vec!["body keypoints", "hand keypoints", "skeleton graph"],
summary: "Atpazīst ķermeņa pozu, žestus, pointing un skatiena virziena kontekstu.",
},
VisionModule {
capability: "face_detection",
title: "Face detection",
stage: "core",
outputs: vec!["face boxes", "landmarks", "quality score"],
summary: "Atrod sejas un novērtē to kvalitāti tālākai analīzei.",
},
VisionModule {
capability: "face_recognition",
title: "Face recognition",
stage: "restricted",
outputs: vec!["identity match", "embedding", "audit event"],
summary: "Atšķir cilvēkus tikai ar skaidru piekrišanu, audit trail un juridisku kontroli.",
},
VisionModule {
capability: "action_recognition",
title: "Action recognition",
stage: "core",
outputs: vec!["action label", "temporal window", "confidence"],
summary: "Nosaka darbības, piemēram, skrien, sēž, ceļ, met, filmē vai runā.",
},
VisionModule {
capability: "scene_understanding",
title: "Scene understanding",
stage: "core",
outputs: vec![
"relationship graph",
"natural language summary",
"risk tags",
],
summary: "Sasaista objektus, darbības un telpiskās attiecības vienotā aprakstā.",
},
VisionModule {
capability: "ocr_document_ai",
title: "OCR + document understanding",
stage: "advanced",
outputs: vec!["recognized text", "layout blocks", "structured fields"],
summary: "Izlasa tekstu no bildēm, dokumentiem, ekrāniem un plakātiem.",
},
VisionModule {
capability: "visual_grounding",
title: "Visual grounding",
stage: "advanced",
outputs: vec!["phrase-to-region links", "point targets", "evidence regions"],
summary: "Savieno tekstu ar precīzu vietu attēlā, lai AI zinātu par ko runā.",
},
VisionModule {
capability: "depth_estimation",
title: "Depth estimation",
stage: "advanced",
outputs: vec!["depth map", "distance bands", "3D cues"],
summary: "Novērtē attālumu, dziļumu un 3D telpas struktūru no kadra.",
},
VisionModule {
capability: "anomaly_detection",
title: "Anomaly detection",
stage: "advanced",
outputs: vec!["anomaly score", "hotspots", "alert label"],
summary: "Pamana neparastus notikumus, kustības vai bīstamas situācijas.",
},
VisionModule {
capability: "re_identification",
title: "Re-identification",
stage: "advanced",
outputs: vec!["cross-camera match", "track continuity", "confidence"],
summary: "Savieno vienu un to pašu cilvēku vai objektu starp dažādām kamerām.",
},
VisionModule {
capability: "multi_camera_fusion",
title: "Multi-camera fusion",
stage: "advanced",
outputs: vec!["global scene map", "cross-view tracks", "coverage gaps"],
summary: "Apvieno vairākas kameras vienā kopīgā telpas un notikumu skatā.",
},
];
let capability_registry = vec![
CapabilityDomain {
domain: "agents",
description: "Vienota agentu sistēma ar planner, executor, reviewer un operator lomām.",
capabilities: vec![
CapabilityEntry {
id: "autonomous_sessions",
title: "Autonomous sessions",
surface: "/api/autonomous/*",
runtime: "backend-rust + core-python",
lifecycle: "streaming",
summary: "Live goal planning, task graph, timeline replay un checkpoint resume.",
},
CapabilityEntry {
id: "persona_routing",
title: "Persona routing",
surface: "/api/chat + /api/autonomous/start",
runtime: "backend-rust + core-python",
lifecycle: "request + stream",
summary: "Chat un autonomous sesijās izmanto konsekventus persona-aware modeļus.",
},
],
},
CapabilityDomain {
domain: "memory",
description: "Multimodāls atmiņas grafiks ar sesijām, embeddings un operatora kontroli.",
capabilities: vec![
CapabilityEntry {
id: "short_term_memory",
title: "Short-term memory",
surface: "memory/short_term",
runtime: "python",
lifecycle: "session-scoped",
summary: "Ātrs konteksta buferis aktīvām sesijām un agent replay stāvoklim.",
},
CapabilityEntry {
id: "long_term_memory",
title: "Long-term memory",
surface: "memory/long_term + Postgres",
runtime: "python + postgres",
lifecycle: "persistent",
summary: "Persistenta atmiņa ar provenance, metadata un retrieval policy slāni.",
},
CapabilityEntry {
id: "vector_memory",
title: "Vector memory",
surface: "memory/vector_store",
runtime: "python",
lifecycle: "semantic",
summary: "Embedding meklēšana tekstam, audio, attēliem un notikumu reprezentācijām.",
},
],
},
CapabilityDomain {
domain: "tools",
description: "Standardizēts tool runtime ar permission, quota, sandbox un tracing līgumu.",
capabilities: vec![
CapabilityEntry {
id: "browser_automation",
title: "Browser automation",
surface: "core-python browser automation",
runtime: "python + playwright",
lifecycle: "interactive",
summary: "Navigate, click, fill, screenshot un extraction darbības ar drošības kontroli.",
},
CapabilityEntry {
id: "repo_editor",
title: "Repo editor",
surface: "tools/code/repo_editor.py",
runtime: "python",
lifecycle: "sandboxed",
summary: "Repo read/write darbības ar future plugin SDK-ready manifestu.",
},
CapabilityEntry {
id: "filesystem_ops",
title: "Filesystem ops",
surface: "tools/filesystem/fs_ops.py",
runtime: "python",
lifecycle: "sandboxed",
summary: "Drošas failu sistēmas darbības ar atļauto direktoriju un quotas konceptu.",
},
],
},
CapabilityDomain {
domain: "modalities",
description: "Voice, vision, code un creative studijas vienotā capability reģistrā.",
capabilities: vec![
CapabilityEntry {
id: "voice_runtime",
title: "Voice runtime",
surface: "/api/voice/* + voice-rust",
runtime: "rust + python",
lifecycle: "realtime",
summary: "STT/TTS un emotion-aware voice sesijas ar websocket runtime.",
},
CapabilityEntry {
id: "vision_stack",
title: "Vision stack",
surface: "/api/vision/*",
runtime: "backend-rust + python",
lifecycle: "event-driven",
summary: "Vision inference, eventing un guardrails zem viena sistēmas manifests slāņa.",
},
CapabilityEntry {
id: "code_studio",
title: "Code studio",
surface: "/api/code",
runtime: "backend-rust + python",
lifecycle: "request",
summary: "Programmēšanas ģenerēšana un labošana ar routing uz specializēto branch.",
},
],
},
];
let governance = GovernanceSection {
tenancy_model: vec![
"Owner-only admin identitāte ar skaidru bootstrap ceļu.",
"Sesijas, lietotāji, agent runs un usage events ir tenant-ready paplašināšanai.",
"Frontend un backend izmanto vienotu command center virsmu visiem moduļiem.",
],
permissions_model: vec![
"JWT access + refresh session modelis ar role, scopes un owner flag.",
"Tooling un vision spējas tiek projektētas ar explicit permission un sandbox līgumu.",
"High-risk darbības paredz human-in-the-loop approval un operator visibility.",
],
audit_model: vec![
"Audit logi, credential audit un system events glabā actor, entity un izmaiņu kontekstu.",
"Usage un tool telemetry tiek sasaistīta ar sesiju un feature dimensijām.",
"Face recognition un sensitīvie scenāriji pieprasa audit trail un policy enforcement.",
],
policy_model: vec![
"Policy slānis definē datu minimizāciju, encryption un operator escalation noteikumus.",
"Autonomous runtime izmanto checkpoint + resume kā drošu failover politiku.",
"Manifestā tiek publicēti sandbox, quota un approval nosacījumi katram tool.",
],
};
let event_model = EventModel {
timeline_stream: "/api/autonomous/status/:id/stream",
event_types: vec![
"session.started",
"task_graph.ready",
"task.started",
"task.completed",
"task.retrying",
"approval.requested",
"session.completed",
"session.interrupt",
],
metrics: vec![
"latency_ms",
"queue_depth",
"attempts",
"progress_percent",
"transport_mode",
],
usage_dimensions: vec![
"feature_name",
"model_name",
"tokens_in",
"tokens_out",
"latency_ms",
],
cost_dimensions: vec![
"tool_calls",
"model_runtime",
"media_generation",
"operator_review",
"storage",
],
};
let memory_manifest = MemoryManifest {
graph_model: "short-term + episodic + semantic + procedural + operator memory graph",
ingestion_pipeline: vec![
"chat + voice transcripts",
"image/video outputs",
"tool call request/response traces",
"autonomous timeline events",
"system and usage events",
],
retrieval_policies: vec![
"salience scoring",
"deduplication",
"entity linking",
"persona-aware retrieval",
"operator forget/delete control",
],
modes: vec![
MemoryMode {
id: "short_term",
title: "Short-term",
inputs: vec!["chat turns", "task state", "voice context"],
controls: vec!["ttl", "session reset", "context budget"],
summary: "Aktīvās sesijas darba atmiņa ātrai reasoning un streaming plūsmai.",
},
MemoryMode {
id: "episodic",
title: "Episodic",
inputs: vec!["sessions", "agent runs", "timeline replay"],
controls: vec!["session replay", "checkpoint history", "delete"],
summary: "Saglabā pilnas sesijas un autonomous replay artefaktus ar provenance.",
},
MemoryMode {
id: "semantic",
title: "Semantic",
inputs: vec!["embeddings", "documents", "summaries"],
controls: vec!["retrieval policy", "ranking", "re-embed"],
summary: "Semantiskā meklēšana starp zināšanām, faktiem un multimodāliem artefaktiem.",
},
MemoryMode {
id: "procedural",
title: "Procedural",
inputs: vec!["tool manifests", "playbooks", "validation flows"],
controls: vec!["versioning", "rollout", "policy gates"],
summary: "Saglabā izpildes playbookus, tool contracts un operatora procedūras.",
},
MemoryMode {
id: "operator",
title: "Operator",
inputs: vec!["approvals", "annotations", "audit evidence"],
controls: vec!["forget", "delete", "approval status"],
summary: "Operatora lēmumi un anotācijas, kas ietekmē sesijas drošību un pārskatāmību.",
},
],
};
let tooling_manifest = ToolingManifest {
runtime_contract: vec![
"manifest + schema",
"permissions + quota",
"sandbox level",
"health + tracing",
"cost accounting",
],
discovery: vec![
"platform manifest catalog",
"tool versioning",
"operator visibility",
"future plugin SDK surface",
],
tools: vec![
ToolManifest {
id: "browser_automation",
title: "Browser Automation",
version: "2.0",
category: "operations",
runtime: "core-python",
permissions: vec![
"browser.navigate",
"browser.click",
"browser.fill",
"browser.capture",
],
sandbox: "interactive",
quota: "session-scoped",
health: "stream-aware",
summary: "Live browser operator tooling ar traceable step-by-step darbībām.",
},
ToolManifest {
id: "repo_editor",
title: "Repo Editor",
version: "1.0",
category: "developer",
runtime: "python",
permissions: vec!["repo.read", "repo.write"],
sandbox: "workspace",
quota: "artifact-scoped",
health: "policy-gated",
summary: "Koda rediģēšanas virsma ar auditējamu izcelsmi un plugin-ready contract.",
},
ToolManifest {
id: "filesystem_ops",
title: "Filesystem Ops",
version: "1.0",
category: "operations",
runtime: "python",
permissions: vec!["fs.read", "fs.write", "fs.list"],
sandbox: "safe_dirs",
quota: "directory-scoped",
health: "guarded",
summary: "Drošas FS darbības ar direktoriju politiku un nākotnes quota enforcement.",
},
ToolManifest {
id: "web_search",
title: "Web Search",
version: "1.0",
category: "research",
runtime: "python",
permissions: vec!["network.search"],
sandbox: "outbound_http",
quota: "request-scoped",
health: "fallback-capable",
summary: "Research rīks ar izsekojamu request/response footprintu.",
},
],
};
let autonomous_runtime = AutonomousRuntimeManifest {
stream_transport: "SSE with polling fallback and replay cursor metadata",
operator_surfaces: vec![
"live trace",
"task graph",
"approval queue",
"checkpoint replay",
],
agent_roles: vec!["planner", "executor", "reviewer", "operator"],
replay_features: vec![
"timeline cursor",
"session checkpoints",
"resume token",
"failover mode",
],
approval_features: vec![
"interruptible events",
"operator review",
"auto-approved local runtime",
"recovery checkpoint",
],
};
let self_improvement = SelfImprovementManifest {
eval_suites: vec![
EvalSuiteManifest {
id: "agent_quality_eval",
title: "Agent quality evals",
focus: "Correctness, policy adherence un operator satisfaction katram aģentam.",
cadence: "per task outcome + nightly sweeps",
automation: "auto-scored with human override",
signals: vec![
"task outcome score",
"approval interventions",
"policy incidents",
"operator rating",
],
},
EvalSuiteManifest {
id: "tool_runtime_eval",
title: "Tool runtime evals",
focus: "Latency, reliability un sandbox compliance katram rīkam.",
cadence: "streaming + release gates",
automation: "trace-driven",
signals: vec![
"latency_ms",
"retry rate",
"error budget",
"artifact completeness",
],
},
],
regression_suites: vec![
RegressionSuiteManifest {
id: "task_regression_grid",
title: "Task regression grid",
scope: "prompt + tool + policy + memory changes",
trigger: "every release candidate and failed-session cluster",
summary: "Stabila benchmark matrica ar zelta uzdevumiem, drošības pārbaudēm un persona režīmiem.",
},
RegressionSuiteManifest {
id: "cross_modal_regressions",
title: "Cross-modal regressions",
scope: "chat, voice, autonomous un vision plūsmas",
trigger: "schema or routing changes",
summary: "Pārbauda tulkošanas un multimodālās konsekvences degradāciju starp virsmām.",
},
],
outcome_metrics: vec![
OutcomeMetricManifest {
id: "correctness",
title: "Correctness",
weight_percent: 40,
summary: "Vai aģents sasniedza uzdevuma mērķi bez būtiskām kļūdām.",
},
OutcomeMetricManifest {
id: "reliability",
title: "Reliability",
weight_percent: 20,
summary: "Vai plūsma izpildījās bez retry spirālēm un regressijām.",
},
OutcomeMetricManifest {
id: "tool_efficiency",
title: "Tool efficiency",
weight_percent: 20,
summary: "Vai izmantotie rīki un resursi bija ekonomiski un pamatoti.",
},
OutcomeMetricManifest {
id: "operator_trust",
title: "Operator trust",
weight_percent: 20,
summary: "Cik daudz approval, pārredzamības un uzticības signālu bija nepieciešams.",
},
],
closed_loop: ClosedLoopManifest {
failure_sources: vec![
"failed sessions",
"approval escalations",
"tool regressions",
"memory misses",
],
recommendation_targets: vec!["prompt", "policy", "tool", "memory"],
safe_optimization_controls: vec![
"shadow deployment",
"human review threshold",
"rollback-ready variants",
"policy envelope tests",
],
},
leaderboard: LeaderboardManifest {
title: "Agent + tool leaderboard",
ranking_dimensions: vec![
"avg outcome score",
"stability",
"latency",
"regression pass rate",
],
refresh_policy: "near-real-time with release benchmark snapshots",
benchmark_surfaces: vec![
"operations console",
"admin studio",
"system manifest",
"future public benchmarks",
],
},
};
let process_runtime = ProcessRuntimeManifest {
runtime_surfaces: vec![
"browser",
"filesystem",
"repo editor",
"background jobs",
"queues",
"schedulers",
],
background_capabilities: vec![
RuntimeCapability {
id: "job_runtime",
title: "Job runtime",
scope: "interactive + background",
summary: "Pilns process/job runtime ar queued, running, completed un failed stāvokļiem.",
},
RuntimeCapability {
id: "artifact_store",
title: "Artifact store",
scope: "session + workspace",
summary: "Artefaktu glabāšana ar metadatiem, retention un provenance pēdu.",
},
RuntimeCapability {
id: "workspace_sessions",
title: "Long-lived workspace sessions",
scope: "resource-governed",
summary: "Ilgdzīvojošas darba telpas ar resursu limitiem, profiliem un restartējamu stāvokli.",
},
],
secrets_handling: vec![
"env-backed secrets",
"owner-only visibility",
"rotation-aware credentials",
"audit-friendly access",
],
environment_profiles: vec![
"local sandbox",
"railway production",
"gpu worker",
"autonomous operator",
],
artifact_store: vec![
"session outputs",
"timeline snapshots",
"tool traces",
"benchmark evidence",
],
workspace_model: vec![
"session affinity",
"quota enforcement",
"background resumption",
"resource budget tracking",
],
operations_console: vec![
"queue health",
"leaderboard",
"recommendations",
"runtime telemetry",
"plugin governance",
],
};
let plugin_platform = PluginPlatformManifest {
manifest_contract: vec![
"plugin manifest",
"declared permissions",
"lifecycle hooks",
"version metadata",
],
review_process: vec![
"submission review",
"policy scan",
"signature verification",
"admin approval",
],
signature_trust: vec![
"first-party signatures",
"trusted publisher chain",
"revocation list",
"install-time integrity check",
],
permissions_model: vec![
"capability scoped",
"install-time grants",
"runtime enforcement",
"audit visibility",
],
billing_hooks: vec![
"usage metering",
"subscription hooks",
"quota accounting",
"support plan metadata",
],
lifecycle_management: vec![
"install",
"update",
"remove",
"disable",
"rollback",
],
admin_approval_model: vec![
"owner approval for sensitive plugins",
"workspace-level allowlists",
"org policy overrides",
],
listing_metadata: vec![
"docs",
"ratings",
"telemetry",
"support contacts",
"publisher profile",
],
};
let translation_layer = TranslationLayerManifest {
translation_planes: vec![
"human language ↔ tool schemas",
"agent intents ↔ runtime actions",
"multimodal inputs ↔ normalized prompts",
],
locale_aware_ux: vec![
"localized labels",
"format-aware timestamps",
"region-friendly defaults",
"persona-sensitive tone",
],
prompt_normalization: vec![
"intent extraction",
"schema normalization",
"domain terminology expansion",
"safety canonicalization",
],
cross_lingual_memory: vec![
"language-tagged memories",
"semantic retrieval across locales",
"translation-linked evidence chains",
],
multimodal_consistency: vec![
"chat",
"voice",
"autonomous",
"vision",
"shared translation contract",
],
terminology_dictionaries: vec![
"product glossary",
"domain-specific lexicons",
"operator playbook terms",
],
persona_localization: vec![
"persona-aware localization",
"style-preserving translation",
"locale-specific prompt overlays",
],
};
let platform_contracts = PlatformContractsManifest {
schema_path: "/shared/schemas/platform_contract_schema.json",
sdk_contracts: vec![
"manifest-first API/SDK contract",
"timeline event envelope shared by diagnostics, billing un robotics",
"workspace/session/artifact identity propagation",
],
timeline_model: vec![
"event_id + parent_event_id",
"workspace/session/task/tool correlation",
"diagnostic + billing + robotics provenance tags",
"recovery and approval actions on the same timeline",
],
core_objects: vec![
PlatformContractObject {
id: "identity",
title: "Cross-module identity",
summary: "Users, orgs, teams, service accounts un scoped access vienā modelī.",
primary_store: "PostgreSQL identity + access tables",
api_contract: "identity.v1",
},
PlatformContractObject {
id: "session_task_tool",
title: "Session / task / tool execution",
summary: "Agent runtime ieraksti ar confidence, uncertainty, failure_reason un next_best_action.",
primary_store: "agent_sessions, agent_tasks, agent_tool_calls",
api_contract: "runtime.execution.v1",
},
PlatformContractObject {
id: "workspace_artifact",
title: "Workspace + artifact",
summary: "Ilgdzīvojošas darba telpas, artefakti, retention un notifications operator OS virskārtai.",
primary_store: "workspaces, workspace_artifacts, operator_notifications",
api_contract: "workspace.v1",
},
PlatformContractObject {
id: "diagnostics_billing_robotics",
title: "Diagnostics / billing / fleet events",
summary: "Persistēts event/timeline modelis ar incidentiem, ledger ierakstiem un fleet asset metadatiem.",
primary_store: "diagnostic_*, billing_ledger_events, fleet_assets",
api_contract: "platform.events.v1",
},
],
};
let diagnostics = DiagnosticsManifest {
incident_fields: vec![
"confidence",
"uncertainty",
"failure_reason",
"next_best_action",
"root_cause_summary",
"recovery_action",
],
health_signals: vec![
HealthSignalManifest {
id: "model_drift",
title: "Model drift",
track: "Eval quality, branch score deviations un outcome regression clusters.",
recovery_levers: vec![
"shadow rollback",
"eval gate tightening",
"persona/prompt variant isolation",
],
},
HealthSignalManifest {
id: "latency_spikes",
title: "Latency spikes",
track: "Tool latency, queue backlog un degraded runtime windows.",
recovery_levers: vec![
"throughput limiting",
"fallback routing",
"priority-based scheduling",
],
},
HealthSignalManifest {
id: "memory_quality",
title: "Memory quality",
track: "Memory misses, retrieval confidence un stale-context incidents.",
recovery_levers: vec![
"memory refresh",
"evidence pinning",
"retrieval policy tuning",
],
},
HealthSignalManifest {
id: "tool_instability",
title: "Tool instability",
track: "Retry bursts, tool failures un guardrail-triggered disablements.",
recovery_levers: vec![
"tool disable",
"approval escalation",
"safe-mode routing",
],
},
],
guardrail_actions: vec![
"fallback mode",
"tool disable",
"approval escalation",
"throughput limiting",
"safe-mode",
],
degradation_modes: vec![
"observing",
"degraded",
"recovering",
"operator-approval-only",
],
recovery_actions: vec![
"reroute to healthy model branch",
"pause unstable tool",
"rebuild memory context",
"require simulator-first execution",
],
};
let cloud = CloudCapabilityManifest {
identity_objects: vec![
"organizations",
"teams",
"memberships",
"service accounts",
"scoped API keys",
],
access_controls: vec![
"usage plans",
"feature entitlements",
"workspace quotas",
"audit-ready role grants",
],
billing_objects: vec![
"billing accounts",
"ledger events",
"subscriptions",
"invoices",
"cost visibility",
],
compliance_controls: vec![
"audit trail",
"data export",
"retention controls",
"provider-ready payment metadata",
],
};
let robotics = RoboticsCapabilityManifest {
separation_boundary: vec![
"robotics capability layer outside core chat",
"dedicated policy boundary",
"simulator-first execution path",
],
device_registry: vec![
"fleet asset registry",
"device identity",
"telemetry metadata",
"operator ownership",
],
execution_plane: vec![
"command bus",
"telemetry ingestion",
"sensor fusion",
"remote supervision",
],
safety_controls: vec![
"safety interlocks",
"operator approvals",
"runtime guardrails",
"incident-linked shutdown paths",
],
simulator_workflow: vec![
"simulate",
"review",
"approve",
"physical execution",
],
};
let operator_os = OperatorOsManifest {
centers: vec![
"command center",
"memory center",
"agent studio",
"tool store",
"diagnostics",
"billing",
"fleet management",
],
shared_models: vec![
"identity",
"workspace",
"session",
"notifications",
"artifacts",
],
shell_properties: vec![
"shared global nav",
"workspace persistence",
"context switching",
"cross-module alerts",
],
external_contracts: vec![
"public API",
"SDK",
"manifest contract",
"ecosystem integration hooks",
],
};
SystemInfo {
name: "Maris AI",
description: "Dzīvs platformas manifests ar capability registry, governance slāņiem un operatora runtime karti.",
capabilities: vec![
"text_chat",
"voice_conversation",
"image_generation",
"music_generation",
"video_generation",
"code_generation",
"autonomous_tasks",
"memory_graph",
"tool_runtime",
],
model: MASTER_MODEL,
author,
orchestration_mode: "platform_manifest_with_specialist_branches",
master_model: MasterModelInfo {
name: MASTER_MODEL,
role: "Galvenais reasoning, governance un koordinācijas modelis",
routing_strategy: "platform_manifest_with_specialist_branches",
primary_capabilities: vec![
"conversation",
"reasoning",
"planning",
"tool_routing",
"memory_context",
"policy_awareness",
"operator_escalation",
],
},
branches,
vision_stack,
vision_guardrails: vec![
"Face recognition jāizmanto tikai ar skaidru juridisku pamatu, piekrišanu un audit trail.",
"Biometriskos un sensitīvos datus jāglabā minimāli, šifrēti un ar piekļuves kontroli.",
"Augsta riska scenārijos vajag human-in-the-loop pārbaudi pirms automātiskas rīcības.",
"Raw video pēc noklusējuma jāminimizē; priekšroka dodama eventiem, snapshotiem un timeline artefaktiem.",
],
capability_registry,
governance,
event_model,
memory_manifest,
tooling_manifest,
autonomous_runtime,
self_improvement,
process_runtime,
plugin_platform,
translation_layer,
platform_contracts,
diagnostics,
cloud,
robotics,
operator_os,
}
}
|