Platform OverviewRust Engine Active
Real-time context engineering telemetry, vector indexing, and pipeline performance metrics.
Requests & Latency Over Time
24-hour API request volume and average response time (ms)
LLM Provider Usage
Distribution of chat completions across model providers
Retrieval Pipeline Latency (p95 ms)
Time spent in each sub-system during a hybrid context retrieval request
System Status
100% HealthyGateway REST API
Gateway
4 ms
99.99%
PostgreSQL DB
Postgres
8 ms
99.95%
Redis Queue & Cache
Redis
2 ms
100.0%
Qdrant Vector Cluster
Qdrant
14 ms
99.98%
Background Worker Pool
Worker
11 ms
99.90%
Recent Activity Stream
Document Ingested
system_architecture_spec.md parsed & chunked into 84 vectors
High-Volume Chat Session
Conversation conv_8f3a1d90 executed 8 messages via GPT-4o
Eval Run Completed
RAG Retrieval Quality Suite v2.4 finished with 96.4% pass rate
Ingestion Error
Failed to parse legacy_unsupported_binary.dat (Unsupported MIME type)
Prompt Version Published
rag_contextual_qa updated to version v2.1.0