# Metrics OpenViking provides a machine-oriented metrics system for exposing runtime health, request quality, model usage, resource processing throughput, and probe health states. Unlike the human-facing `/api/v1/observer/*` endpoints and the analytics-oriented `/api/v1/stats/*` endpoints, Metrics are designed for: - high-frequency scraping by Prometheus, Grafana Agent, and similar systems - low-cardinality, aggregatable metric models - monitoring, alerting, capacity observation, and regression diagnosis ## Overview ### Why Metrics Metrics are well suited to answer questions like: - Has HTTP traffic increased abnormally over the last few minutes? - Are resource ingestion, retrieval, or model calls getting slower? - Is there queue backlog? - Are key dependencies such as storage, model providers, VikingDB, encryption, and async systems currently healthy? - Is a specific tenant showing abnormal traffic or error rates? Compared with logs and observer snapshots, metrics are better for: - continuous scraping - time-series aggregation - dashboard visualization - alert rules ### How Metrics Differ from Observer and Stats | Capability | Best For | Output Format | Typical Usage | |------------|----------|---------------|---------------| | `/metrics` | online monitoring, alerting, trend aggregation | Prometheus exposition text | Grafana dashboards, Prometheus scraping | | `/api/v1/observer/*` | human inspection of component snapshots | JSON / status tables | debugging, health checks | | `/api/v1/stats/*` | analytics-oriented statistics | JSON | memory health, staleness, session extraction | The boundary is: - `/metrics` only carries **low-cardinality, low-cost** metrics - `/api/v1/stats/*` continues to carry analytics-oriented statistics without being constrained by the Prometheus scraping model ## Metrics Architecture The current metrics stack in OpenViking has four layers: ```text Business logic / HTTP requests / background tasks │ ▼ DataSource (event emission / state reads) │ ▼ Collector (semantic routing + labels) │ ▼ MetricRegistry (in-process metric store) │ ▼ Exporter (Prometheus text rendering) │ ▼ /metrics ``` ### DataSource DataSources provide inputs to the metrics system in two main forms: - **Event-based**: business code emits events at key points, such as retrieval completion, successful model calls, or resource ingestion stage completion - **Read-based**: current state is read before `/metrics` export, such as queue state, lock state, or probe state ### Collector Collectors turn inputs into metric semantics: - choose which metric to write - choose which labels to attach - define how failure is exposed, such as `valid=1/0` ### MetricRegistry The MetricRegistry is the in-process metric store that keeps the current metric values and serves them to the exporter. ### Exporter The first exporter implementation is the Prometheus exporter, which renders registry contents into Prometheus exposition text. ## Usage ### Accessing `/metrics` In the current implementation, `/metrics` is not wired to `get_request_context` or other auth dependencies, so from the code-path perspective it currently behaves as a public scrape endpoint. ```bash curl http://localhost:1933/metrics ``` If your deployment protects `/metrics` at the gateway, reverse proxy, or service discovery layer, attach auth according to the deployment environment. ### Prometheus Scrape Example ```yaml scrape_configs: - job_name: openviking metrics_path: /metrics static_configs: - targets: ["localhost:1933"] ``` ### Understanding Common Labels | Label | Meaning | Example | |-------|---------|---------| | `account_id` | tenant dimension label | `test-account`, `__unknown__`, `__overflow__` | | `route` | HTTP route template | `/api/v1/search/find` | | `method` | HTTP method | `GET`, `POST` | | `status` | request or stage status | `200`, `ok`, `error` | | `operation` | structured operation name | `search.find`, `resources.add_resource` | | `context_type` | retrieval context type | `resource` | | `provider` | model or external service provider | `volcengine` | | `model_name` | model name | `doubao-seed-1-8-251228` | | `stage` | stage label (defined by each metric family) | resource stage: `parse`; token attribution stage: `embed_query` | | `valid` | whether the current sample is fresh and valid | `1` / `0` | Notes: - `account_id` is only enabled on controlled allowlisted metric families to prevent high-cardinality growth - `valid=0` means the current state/probe sample is a fallback or stale value, not that the label itself is malformed - `stage` semantics depend on the metric family: - `openviking_resource_stage_*`: resource ingestion pipeline stages (for example `parse/persist/process`) - `openviking_operation_tokens_total`: token attribution stages (for example `embed_query/rerank/vlm`) ## Key Metric Families The metric summaries below are based on representative metrics currently exposed by the collectors in `openviking/metrics/collectors/`. ### Requests and Operations | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_http_requests_total` | Counter | `account_id, method, route, status` | total HTTP requests | | `openviking_http_request_duration_seconds` | Histogram | `account_id, method, route, status` | HTTP latency distribution | | `openviking_http_inflight_requests` | Gauge | `account_id, route` | current inflight requests (in-process approximation) | | `openviking_operation_requests_total` | Counter | `account_id, operation, status` | total structured operations | | `openviking_operation_duration_seconds` | Histogram | `account_id, operation, status` | structured operation duration distribution | Typical usage: - inspect whether `/api/v1/search/find` or `/api/v1/resources` is slowing down - inspect whether a specific `operation` has elevated error rates ### Retrieval and Resource Processing | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_retrieval_requests_total` | Counter | `account_id, context_type` | retrieval request count | | `openviking_retrieval_results_total` | Counter | `account_id, context_type` | total retrieved results | | `openviking_retrieval_latency_seconds` | Histogram | `account_id, context_type` | retrieval latency distribution | | `openviking_retrieval_zero_result_total` | Counter | `account_id, context_type` | retrieval zero-result count | | `openviking_retrieval_rerank_used_total` | Counter | `account_id` | number of retrievals that used rerank | | `openviking_retrieval_rerank_fallback_total` | Counter | `account_id` | retrieval rerank fallback count | | `openviking_resource_stage_total` | Counter | `account_id, stage, status` | count of resource ingestion stages | | `openviking_resource_stage_duration_seconds` | Histogram | `account_id, stage, status` | duration distribution of ingestion stages | | `openviking_resource_wait_duration_seconds` | Histogram | `account_id, operation` | resource ingestion wait duration distribution (for example queue waiting) | Typical `stage` values include: - `request` - `parse` - `summarize` - `persist` - `finalize` - `process` ### Vector, Memory, and Semantic Metrics | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_vector_searches_total` | Counter | `operation` | vector search count | | `openviking_vector_scored_total` | Counter | `operation` | total scored candidates | | `openviking_vector_passed_total` | Counter | `operation` | total passed candidates | | `openviking_vector_returned_total` | Counter | `operation` | total returned candidates | | `openviking_vector_scanned_total` | Counter | `operation` | total scanned candidates | | `openviking_memory_extracted_total` | Counter | `operation` | total extracted memory items | | `openviking_semantic_nodes_total` | Counter | `status` | total semantic nodes | ### Model Calls and Tokens | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_model_calls_total` | Counter | `model_type, provider, model_name` | unified model call count | | `openviking_model_tokens_total` | Counter | `model_type, provider, model_name, token_type` | unified model token count | | `openviking_vlm_calls_total` | Counter | `account_id, provider, model_name` | VLM call count | | `openviking_vlm_tokens_input_total` | Counter | `account_id, provider, model_name` | VLM input tokens | | `openviking_vlm_tokens_output_total` | Counter | `account_id, provider, model_name` | VLM output tokens | | `openviking_vlm_tokens_total` | Counter | `account_id, provider, model_name` | VLM total tokens | | `openviking_vlm_call_duration_seconds` | Histogram | `account_id, provider, model_name` | VLM call duration distribution | | `openviking_embedding_requests_total` | Counter | `account_id, status` | embedding request count | | `openviking_embedding_latency_seconds` | Histogram | `account_id, status` | embedding latency distribution | | `openviking_embedding_errors_total` | Counter | `account_id, error_code` | embedding error count | | `openviking_embedding_calls_total` | Counter | `account_id, provider, model_name` | embedding provider call count (per-call) | | `openviking_embedding_call_duration_seconds` | Histogram | `account_id, provider, model_name` | embedding provider call duration distribution (per-call) | | `openviking_embedding_tokens_input_total` | Counter | `account_id, provider, model_name` | embedding input tokens (per-call aggregate) | | `openviking_embedding_tokens_output_total` | Counter | `account_id, provider, model_name` | embedding output tokens (per-call aggregate; may not appear if always 0) | | `openviking_embedding_tokens_total` | Counter | `account_id, provider, model_name` | embedding total tokens (per-call aggregate) | | `openviking_rerank_calls_total` | Counter | `account_id, provider, model_name` | rerank provider call count (per-call) | | `openviking_rerank_call_duration_seconds` | Histogram | `account_id, provider, model_name` | rerank provider call duration distribution (per-call) | | `openviking_rerank_tokens_input_total` | Counter | `account_id, provider, model_name` | rerank input tokens (per-call aggregate) | | `openviking_rerank_tokens_output_total` | Counter | `account_id, provider, model_name` | rerank output tokens (per-call aggregate; may not appear if always 0) | | `openviking_rerank_tokens_total` | Counter | `account_id, provider, model_name` | rerank total tokens (per-call aggregate) | | `openviking_operation_tokens_total` | Counter | `account_id, operation, stage, token_type` | operation token aggregation (token attribution stages) | Notes: - `openviking_model_*` gives a unified cross-model view for embedding and VLM usage - `openviking_vlm_*` and `openviking_embedding_*` are better suited for workload-specific dashboards ### Queues, Locks, and Runtime State | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_queue_processed_total` | Counter | `queue` | total processed items per queue | | `openviking_queue_errors_total` | Counter | `queue` | total error count per queue | | `openviking_queue_pending` | Gauge | `queue` | pending queue items | | `openviking_queue_in_progress` | Gauge | `queue` | in-progress queue items | | `openviking_lock_active` | Gauge | none | current active locks | | `openviking_lock_waiting` | Gauge | none | locks currently waiting | | `openviking_lock_stale` | Gauge | none | potentially stale locks | These help answer: - Is there queue backlog? - Is there lock contention or stale locking? ### Tasks and Task Tracker | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_task_pending` | Gauge | `task_type` | pending tasks tracked by task tracker | | `openviking_task_running` | Gauge | `task_type` | running tasks tracked by task tracker | | `openviking_task_completed` | Gauge | `task_type` | completed tasks tracked by task tracker | | `openviking_task_failed` | Gauge | `task_type` | failed tasks tracked by task tracker | ### Cache | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_cache_hits_total` | Counter | `level` | cache hit count | | `openviking_cache_misses_total` | Counter | `level` | cache miss count | ### Session | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_session_lifecycle_total` | Counter | `account_id, action, status` | session lifecycle event count | | `openviking_session_contexts_used_total` | Counter | `account_id, action` | session contexts used total | | `openviking_session_archive_total` | Counter | `account_id, status` | session archive count | ### Feedback These metrics summarize persisted VikingBot feedback and outcome data at scrape time. They are exported as gauges because the collector recomputes the current aggregate snapshot from bot session files instead of incrementing counters online. | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_feedback_sessions_scanned_total` | Gauge | `valid` | number of bot sessions scanned for the current snapshot | | `openviking_feedback_responses_total` | Gauge | `valid` | total persisted assistant responses included in the snapshot, including legacy responses outside the new observability contract | | `openviking_feedback_tracked_responses_total` | Gauge | `valid` | responses covered by the current feedback observability contract (`metadata.feedback_events` or `metadata.response_outcomes`) | | `openviking_feedback_responses_with_feedback_total` | Gauge | `valid` | responses that have at least one explicit feedback event | | `openviking_feedback_events_total` | Gauge | `valid` | explicit feedback event count | | `openviking_feedback_thumb_up_total` | Gauge | `valid` | thumb-up event count | | `openviking_feedback_thumb_down_total` | Gauge | `valid` | thumb-down event count | | `openviking_feedback_positive_outcomes_total` | Gauge | `valid` | responses classified as positive feedback outcomes | | `openviking_feedback_negative_outcomes_total` | Gauge | `valid` | responses classified as negative feedback outcomes | | `openviking_feedback_reasked_outcomes_total` | Gauge | `valid` | responses classified as reasked outcomes | | `openviking_feedback_resolved_outcomes_total` | Gauge | `valid` | responses classified as resolved outcomes | | `openviking_feedback_follow_up_without_feedback_outcomes_total` | Gauge | `valid` | responses followed up without explicit feedback | | `openviking_feedback_coverage` | Gauge | `valid` | fraction of tracked responses with explicit feedback | | `openviking_feedback_thumbs_up_rate` | Gauge | `valid` | fraction of feedback events that are thumbs up | | `openviking_feedback_thumbs_down_rate` | Gauge | `valid` | fraction of feedback events that are thumbs down | | `openviking_feedback_positive_feedback_rate` | Gauge | `valid` | fraction of tracked responses with positive feedback outcomes | | `openviking_feedback_negative_feedback_rate` | Gauge | `valid` | fraction of tracked responses with negative feedback outcomes | | `openviking_feedback_reask_rate` | Gauge | `valid` | fraction of tracked responses that led to reasking | | `openviking_feedback_one_turn_resolution_rate` | Gauge | `valid` | fraction of tracked responses resolved in one turn | | `openviking_feedback_channel_*` | Gauge | `channel, valid` | per-channel variants of response volume, feedback volume, negative outcomes, reasks, coverage, thumb rates, and one-turn resolution | For mixed historical data, use `openviking_feedback_tracked_responses_total` as the denominator reference for rate panels. `openviking_feedback_responses_total` is kept to show overall persisted assistant-response volume, including legacy responses that predate the current feedback metadata contract. Typical usage: - build Grafana panels for feedback coverage, thumbs-down rate, and one-turn resolution rate over time - compare feedback quality across channels such as `cli__default` and `bot_api__demo` - alert when `valid="0"` appears persistently, which indicates the collector is serving the last successful snapshot after a refresh failure PromQL / Grafana examples: - overall feedback coverage: ```promql openviking_feedback_coverage{valid="1"} ``` - overall thumbs-down rate: ```promql openviking_feedback_thumbs_down_rate{valid="1"} ``` - one-turn resolution rate: ```promql openviking_feedback_one_turn_resolution_rate{valid="1"} ``` - per-channel coverage and resolution comparison: ```promql openviking_feedback_channel_coverage{valid="1"} ``` ```promql openviking_feedback_channel_one_turn_resolution_rate{valid="1"} ``` - detect fallback snapshots: ```promql max by (job) (openviking_feedback_events_total{valid="0"}) ``` Because these are scrape-time snapshot gauges, they work well in Grafana time-series panels and side-by-side channel comparison panels. For `/metrics` endpoint behavior and scrape usage, see [Metrics API](../api/09-metrics.md). ### Probes and Health State | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_service_readiness` | Gauge | may include `valid` | main service readiness | | `openviking_api_key_manager_readiness` | Gauge | may include `valid` | API key manager readiness | | `openviking_storage_readiness` | Gauge | `probe, valid` | storage probe, for example `agfs` | | `openviking_model_provider_readiness` | Gauge | `provider, valid` | model provider readiness | | `openviking_async_system_readiness` | Gauge | `probe, valid` | async system readiness | | `openviking_retrieval_backend_readiness` | Gauge | `probe, valid` | retrieval backend readiness | | `openviking_encryption_component_health` | Gauge | `valid` | overall encryption component health | | `openviking_encryption_root_key_ready` | Gauge | `valid` | whether the root key is ready | | `openviking_encryption_kms_provider_ready` | Gauge | `provider, valid` | KMS provider readiness | Meaning of `valid`: - `valid="1"`: the sample was produced by a successful refresh - `valid="0"`: the sample is a fallback or stale value and should be treated with caution ### Encryption (Operational Metrics) | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_encryption_operations_total` | Counter | `account_id, operation, status` | encrypt/decrypt operation count | | `openviking_encryption_duration_seconds` | Histogram | `account_id, operation, status` | encrypt/decrypt duration distribution | | `openviking_encryption_bytes_total` | Counter | `account_id, operation` | encrypt/decrypt processed bytes total | | `openviking_encryption_payload_size_bytes` | Histogram | `account_id, operation` | encrypt/decrypt payload size distribution | | `openviking_encryption_auth_failed_total` | Counter | `account_id, status` | auth-failed count | | `openviking_encryption_key_derivation_total` | Counter | `account_id, status` | key derivation count | | `openviking_encryption_key_derivation_duration_seconds` | Histogram | `account_id, status` | key derivation duration distribution | | `openviking_encryption_key_load_duration_seconds` | Histogram | `account_id, status, provider` | key load duration distribution | | `openviking_encryption_key_cache_hits_total` | Counter | `account_id, provider` | key cache hit count | | `openviking_encryption_key_cache_misses_total` | Counter | `account_id, provider` | key cache miss count | | `openviking_encryption_key_version_usage_total` | Counter | `account_id, key_version` | key version usage count | ### Component and Observer Aggregate Metrics | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_component_health` | Gauge | `component, valid` | component health state | | `openviking_component_errors` | Gauge | `component, valid` | component error state | | `openviking_observer_components_total` | Gauge | `valid` | number of observed components | | `openviking_observer_components_unhealthy` | Gauge | `valid` | number of unhealthy components | | `openviking_observer_components_with_errors` | Gauge | `valid` | number of components with errors | Typical `component` values include: - `queue` - `models` - `lock` - `retrieval` - `vikingdb` - `filesystem` ### VikingDB and Model Usage Statistics | Metric Family | Type | Common Labels | Meaning | |---------------|------|---------------|---------| | `openviking_vikingdb_collection_health` | Gauge | `collection, valid` | collection health | | `openviking_vikingdb_collection_vectors` | Gauge | `collection, valid` | current vector count per collection | | `openviking_model_usage_available` | Gauge | `model_type, valid` | whether model usage statistics are currently available | Possible `model_type` values include: - `vlm` - `embedding` - `rerank` ## Configuration Example ### Enabling Metrics In `ov.conf`, the metrics subsystem can be explicitly enabled through `server.observability.metrics`: ```json { "server": { "observability": { "metrics": { "enabled": true, "account_dimension": { "enabled": true, "max_active_accounts": 100, "metric_allowlist": [ "openviking_http_requests_total", "openviking_http_request_duration_seconds", "openviking_http_inflight_requests", "openviking_operation_requests_total", "openviking_operation_duration_seconds", "openviking_vlm_calls_total", "openviking_vlm_call_duration_seconds", "openviking_rerank_*" ] } } } } } ``` Recommended mental model: - `server.observability.metrics.enabled`: master switch for the metrics subsystem - `server.observability.metrics.account_dimension`: controls whether `account_id` labels are enabled and where they are allowed ### Exporters By default, OpenViking exports metrics via Prometheus exposition format at `/metrics`. You can also enable additional exporters under `server.observability.metrics.exporters`. Key fields: - `server.observability.metrics.exporters.prometheus.enabled`: enable the Prometheus exporter (serves `/metrics`) - `server.observability.metrics.exporters.otel.enabled`: enable OTLP export from the same in-process registry - `server.observability.metrics.exporters.otel.protocol`: `"grpc"` or `"http"` - `server.observability.metrics.exporters.otel.tls.insecure`: OTLP/gRPC only; `true` means plaintext (no TLS) - `server.observability.metrics.exporters.otel.endpoint`: OTLP endpoint (for gRPC, use `host:4317`; for HTTP, use a full URL) - `server.observability.metrics.exporters.otel.service_name`: OTLP `service.name` resource attribute (default `"openviking-server"`) - `server.observability.metrics.exporters.otel.export_interval_ms`: OTLP push interval in milliseconds (default `10000`) - `server.observability.metrics.exporters.otel.headers`: optional custom OTLP headers; sent as gRPC metadata for gRPC and HTTP headers for HTTP - When using gRPC, header keys in `headers` should be lowercase, for example `x-byteapm-appkey`; HTTP does not have this restriction Example: ```json { "server": { "observability": { "metrics": { "enabled": true, "exporters": { "prometheus": { "enabled": true }, "otel": { "enabled": true, "protocol": "grpc", "tls": { "insecure": true }, "endpoint": "otel-collector:4317", "service_name": "openviking-server", "export_interval_ms": 10000, "headers": {} } } } } } } ``` ### Recommended `account_id` Usage - enabled by default, but only allowlisted metric families will receive tenant ids (empty allowlist still yields `__unknown__`) - do not turn `user_id`, `session_id`, or `resource_uri` into labels - only enable tenant dimensions on a small set of critical dashboard and alert metrics - `metric_allowlist` supports a limited wildcard syntax: only trailing `*` prefix matches (e.g. `openviking_rerank_*`, `openviking_embedding_*`) - a standalone `*` is not supported, nor full glob/regex patterns ## Related Documentation - [Architecture Overview](./01-architecture.md) - overall OpenViking architecture - [Multi-Tenant](./11-multi-tenant.md) - `account/user/peer` isolation model - [Data Encryption](./10-encryption.md) - storage-layer encryption and isolation - [Metrics API](../api/09-metrics.md) - `/metrics` endpoint usage - [VikingBot Feedback Observability Design](https://github.com/volcengine/OpenViking/blob/main/bot/docs/zh/design/vikingbot-feedback-observability-design.md) - feedback observability design background and rollout plan (Chinese) - [Metrics Design](../../design/metric-design.md) - metrics system design details