This dashboard offers a clear view into Crew AI workflows and performance. It highlights key metrics such as token consumption, crew and agent execution times, task distribution, and per-tool performance trends. Teams can monitor which agents and tasks are most active, track latency patterns, and identify optimization opportunities to improve reliability and efficiency across their Crew AI deployments.
Dashboard Preview #
Recommended. Uses the [V2 dashboard schema](https://signoz.io/docs/dashboards/dashboards-v2-api/) and needs SigNoz v0.135.0 or newer.
Import it in SigNoz with **Dashboards → + New dashboard → Import JSON**. [Import guide](https://signoz.io/docs/dashboards/import-dashboard/)
What This Dashboard Monitors #
This dashboard tracks critical performance metrics for your Crew AI workflows using OpenTelemetry to help you:
Monitor Token Consumption: Track input tokens (user prompts) and output tokens (model responses) to monitor system workload, efficiency trends, and consumption across different Crew AI workflows.Track Crew Performance: Monitor the average total execution time for each Crew run to understand workflow duration, spot inefficiencies, and evaluate the impact of optimizations.Analyze Agent Performance: Track execution time and task distribution per agent to identify performance trends, workload imbalances, and optimization opportunities.Monitor Tool Efficiency: Observe execution time for each tool to reveal performance patterns, inefficiencies, or changes in tool responsiveness.Monitor Usage Patterns: Observe token consumption trends over time to spot adoption curves, peak cycles, and unusual spikes in Crew AI activity.Understand Workflow Structure: View all Agent and Task spans within Crew executions, with direct links to trace spans for detailed inspection of execution flow.
Metrics Included #
Token Usage Metrics
Total Token Usage (Input & Output): Displays the split between input tokens (user prompts) and output tokens (model responses), showing exactly how much work the system is doing over time.Token Usage Over Time: Time series visualization showing token consumption trends to identify adoption patterns, peak cycles, and baseline activity.
Performance & Reliability
Average Duration of Crew: Displays the average total execution time for each Crew run from start to completion, helping teams understand workflow duration and identify inefficiencies.Duration Over Time (Per Agent): Shows how execution time of specific agents changes over time, revealing performance trends, slowdowns, or improvements.Duration Over Time (Per Tool): Tracks execution time of specific tools over time to identify performance patterns and inefficiencies in tool responsiveness.Average Time Per Agent: Displays average task execution time for each agent to compare efficiency and identify where performance improvements may be needed.Average Time Per Tool: Shows average execution time for each tool to highlight efficiency and identify tools that may need optimization.
Usage Analysis
Agents and Tasks: Lists all Agent and Task spans within Crew executions, with each entry linking directly to its corresponding trace span for quick navigation and detailed inspection.Tasks Per Agent: Shows the number of tasks executed by each agent, providing a clear view of workload distribution and helping identify which agents handle the most activity.Token Usage Over Time: Time series visualization showing token consumption trends to identify adoption patterns, peak cycles, and baseline activity across Crew AI workflows.