Evaluation Framework
Run batch evaluations with reusable templates, custom criteria, and automated scoring
Exalor Observe
See everything your AI systems do
Full-stack observability for LLM applications. Trace every call, track costs in real-time, evaluate quality, and monitor performance across all your AI products — with 28+ dashboard widgets and drop-in SDK support.
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Every call. End to end.
Full-stack observability for LLM applications. Trace every call, track costs in real-time, evaluate quality, and monitor performance across all your AI products.
- Dashboard widgets
- SDK integrations
- Latency tracking
- Cost enrichment
- 28+ configurable dashboard widgets
- Real-time cost enrichment at ingestion
- Drop-in SDKs for OpenAI, Anthropic, LangChain
- Hierarchical trace visualization with timing
- Evaluation framework with batch scoring
- Multi-project team management with RBAC
01
Traces & Monitoring
Hierarchical Traces
Visualize full execution trees — agents, tools, generations, guardrails — with timing and cost per node
Waterfall Timeline
See parallel execution and latency breakdown across every step of your AI pipeline
Agent Graph Visualization
Auto-generated Mermaid diagrams showing agent orchestration flows with zoom and pan controls
Latency Percentiles
Track P50, P90, P95, and P99 latency across all models and endpoints
Error Tracking
Error counts, success rates, and level-based filtering — catch failures before users report them
02
Cost Intelligence
Real-Time Cost Tracking
Cost enrichment at ingestion — every token priced immediately, not retroactively
Cost by Model
Compare spend across Claude, GPT, Nova, and custom models with input/output/cache breakdown
Cost by User
Attribute AI spend to individual users and teams for chargeback and budget planning
Token Efficiency
Tokens-per-dollar metrics and cache hit rates to optimize your AI spending
Dynamic Model Pricing
Manage pricing tiers per model — input, output, cache read, and cache write token rates
03
Quality & Evaluation
Score Distribution
Histogram visualization across relevance, coherence, toxicity, and custom score dimensions
Human Annotations
Manual scoring with comments for training data curation and quality benchmarking
Dataset Management
Create versioned datasets, run evaluations, and track quality over time
04
Dashboard & SDKs
28+ Widgets
KPI cards, cost charts, latency graphs, token usage, user activity, tool analytics, guardrail health — all configurable
Drop-In SDKs
Packages for Node.js, OpenAI, Anthropic, LangChain, and OpenTelemetry — integrate in minutes
Multi-Project RBAC
Owner, admin, member, and viewer roles with per-project API key scoping
Alerts & Webhooks
Cost-based alerts, custom metric thresholds, and event-driven webhook integrations
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