CrewAI Integration

ANTS Platform gives you full observability for CrewAI — traces, cost, latency, agent attribution, and error analysis — with zero changes to your crew logic.

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What gets captured

Both approaches produce the same trace shape in ANTS Platform:

• Crew executions — kickoff to completion, with framework:crewai and crew:<name> tags
• Agent steps — role, goal, tool inventory, per-agent cost/latency rollups
• LLM calls — model, prompt/completion messages, tokens, cost (computed server-side)
• Tool usage — humanised tool name, arguments, output
• Task execution — task description, expected output, actual output
• Errors — attributed to the exact agent / task / LLM call

MarketIntelligenceContentPipelineCrew   (root)
├── research_market_signals              (task)
│   └── Senior Market Research Analyst   (agent)
│       ├── LLM Call (gpt-4o-mini)
│       └── Search the internet with serper
├── draft_content_strategy
│   └── Content Strategist → LLM + tools
└── editorial_review_and_publish_plan
    └── Editor-in-Chief → LLM