Crew-Level Planning
Enable AgentPlanner by setting planning=True on the Crew. Before each iteration, the planner consumes the full crew description and emits a step-by-step plan that's prepended to every task description.
Crew(
agents=[researcher, writer, editor],
tasks=[t1, t2, t3],
planning=True,
planning_llm="gpt-4o", # optional dedicated planner LLM
)Per-Agent Reasoning
Set reasoning=True on an Agent for a private reflection loop: observe → refine → replan → execute, repeating up to max_reasoning_attempts.
Agent(
role="Strategy Analyst",
goal="Build a 3-step plan for entering market X",
backstory="...",
reasoning=True,
max_reasoning_attempts=3, # None = unlimited
)Planning Events
- •
StepObservationStartedEvent / CompletedEvent / FailedEvent - •
PlanRefinementEvent— plan was tweaked. - •
PlanReplanTriggeredEvent— full replan started. - •
GoalAchievedEarlyEvent— exited the loop ahead of the limit.
When to Use What
- →planning=True: complex multi-step crews where task coordination is the bottleneck.
- →reasoning=True: agents that must produce structured plans (strategy, architecture, debugging).
- ⚠Both cost extra LLM calls. Profile before enabling both everywhere.
Notes
Planner output is another LLM surface
Crew-level plans can be verbose. Summarize plans before feeding them to executors, and validate plan JSON with the same rigor you apply to tool arguments.
Reasoning loops multiply latency
Each reflection step waits on a completion. Cap loops, require measurable progress between iterations, and short-circuit when confidence crosses a threshold.
Not every task benefits from extra thinking
Deterministic transforms and retrieval-heavy steps often get worse when over-reflected. Enable planning selectively on high-variance tasks instead of globally.
Cost ceilings belong in product metrics
Track spend per tenant and per workflow. When planners spike cost, alert before quotas silently degrade user experience.
CrewAI planning FAQ
What does planning=True do in CrewAI?
It enables planner-style orchestration that drafts multi-step plans before execution, which can improve complex workflows at the cost of extra upfront tokens.
What does reasoning=True do in CrewAI?
It turns on deeper per-agent reflection loops so the model can critique intermediate answers before finalizing output, which helps quality on hard tasks.
When should I disable extra reasoning?
Disable it for deterministic formatting, low-latency chat, or when evals show reflection adds little value compared to its latency and spend.
How do I cap costs with planning enabled?
Lower max iterations, shorten planner horizons, and route only high-risk tasks through planner-heavy paths while keeping bulk work simple.
How is planning different from Flow orchestration?
Planning shapes how agents think inside tasks, while Flows orchestrate method graphs and external events around crews.
See also: DevShelfHub's CrewAI tool review for a product-level comparison, pricing notes, and links back into this tutorial series.