CrewAI Observability That Goes Beyond Built-In Tracing

Fluq hooks into CrewAI's callback system to capture task delegation, agent reasoning, tool usage, and crew outcomes automatically. It's compatible with CrewAI's native AMP tracing — Fluq adds fleet-level visibility on top without replacing what you already have.

Supports both hierarchical and sequential crew processes. Whether your manager agent delegates to specialists or tasks run in sequence, Fluq captures the full execution graph and displays it on your dashboard.

When you run multiple crews, they can step on each other: duplicate tool calls, conflicting outputs, resource contention. Fluq detects these cross-crew conflicts in real time and alerts you before they cause production issues.

Visualize crew-to-crew dependencies and execution timelines on a single dashboard. Set ordering policies like “Crew A must complete before Crew B starts” and let Fluq enforce them. No more debugging cascading failures across disconnected crews.

Break down LLM spend by crew, by agent within a crew, and by task. Track task completion rates, average execution time, and failure modes. Compare crew configurations side-by-side — different models, agent counts, and delegation strategies — to find what actually works best.

pip install fluq-sdk
from fluq.integrations.crewai import FluqCrewMonitor
crew = Crew(agents=[...], tasks=[...], callbacks=[FluqCrewMonitor()])