{"slug": "crew-ai-dashboard", "title": "Crew AI Dashboard", "summary": "SigNoz released a new dashboard for monitoring Crew AI workflows, featuring metrics on token consumption, crew and agent execution times, task distribution, and per-tool performance. The dashboard requires SigNoz v0.135.0 or newer and uses the V2 dashboard schema, providing teams with insights to optimize reliability and efficiency.", "body_md": "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.\n\n## Dashboard Preview\n\nRecommended. Uses the [V2 dashboard schema](https://signoz.io/docs/dashboards/dashboards-v2-api/) and needs SigNoz v0.135.0 or newer.\n\nImport it in SigNoz with **Dashboards → + New dashboard → Import JSON**. [Import guide](https://signoz.io/docs/dashboards/import-dashboard/)\n\n## What This Dashboard Monitors\n\nThis dashboard tracks critical performance metrics for your Crew AI workflows using OpenTelemetry to help you:\n\n**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.\n\n## Metrics Included\n\n### Token Usage Metrics\n\n**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.\n\n### Performance & Reliability\n\n**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.\n\n### Usage Analysis\n\n**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.", "url": "https://wpnews.pro/news/crew-ai-dashboard", "canonical_source": "https://signoz.io/docs/dashboards/dashboard-templates/crewai-dashboard", "published_at": "2026-08-10 00:00:00+00:00", "updated_at": "2026-08-11 05:06:00.553541+00:00", "lang": "en", "topics": ["ai-tools", "ai-infrastructure", "mlops", "developer-tools"], "entities": ["SigNoz", "Crew AI", "OpenTelemetry"], "alternates": {"html": "https://wpnews.pro/news/crew-ai-dashboard", "markdown": "https://wpnews.pro/news/crew-ai-dashboard.md", "text": "https://wpnews.pro/news/crew-ai-dashboard.txt", "jsonld": "https://wpnews.pro/news/crew-ai-dashboard.jsonld"}}