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Integration

Prefactor for CrewAI — Observability, Cost, and Governance

Add observability, cost tracking, and runtime policy enforcement to your CrewAI agents. Production governance for CrewAI in minutes.

Last updated 25 May 2026

CrewAI is a strong choice for building agents. Prefactor is what you wrap around it once those agents have to be governed in production.

*Source: CrewAI docs · GitHub*

What you get

  • End-to-end tracing of every Crew, tool call, and LLM invocation
  • Per-CrewAI-agent, per-user, per-tenant cost attribution
  • Runtime policy enforcement — block, route, or approve tool calls
  • Tamper-evident audit logs aligned to SOC 2, ISO 42001, and EU AI Act expectations
  • Outcome evaluation with regression detection on every change
  • Works with CrewAI in production today

Install and integrate

pip install prefactor-crewai
from crewai import Crew
from prefactor import Prefactor

pf = Prefactor(api_key="pf_live_...")
crew = pf.wrap(Crew(agents=[...], tasks=[...]), crew_id="research-crew")

Common problems Prefactor solves for CrewAI teams

1. Crew-level cost easily runs 5-10× single-agent cost — opaque without tooling

2. Role-based access control isn't enforced — any agent can call any tool

3. Long task chains can drift without continuous evaluation

4. Audit trail of which agent decided what is application-level

5. No native rate limiting per crew or per task

Supported capabilities

CapabilityStatus
[Observability](/integrations/crewai/observability)Supported
[Monitoring](/integrations/crewai/monitoring)Supported
[Cost Tracking](/integrations/crewai/cost-tracking)Supported
[Policy Enforcement](/integrations/crewai/policy-enforcement)Supported
[Audit Logging](/integrations/crewai/audit-logging)Supported
[Evaluation](/integrations/crewai/evaluation)Supported
[Guardrails](/integrations/crewai/guardrails)Supported
[Security](/integrations/crewai/security)Supported
[Governance](/integrations/crewai/governance)Supported
[Compliance](/integrations/crewai/compliance)Supported

FAQ

Does Prefactor route my CrewAI traffic through a proxy? No. Prefactor instruments via SDK. Your LLM calls go directly to your model provider. We never sit in the request path.

Will Prefactor add latency to my CrewAI agent? The SDK adds ~2-5ms per traced span. Telemetry ships asynchronously in batches. No synchronous network call to Prefactor in your hot path unless you opt into blocking policy enforcement.

Can I use Prefactor alongside other tools (Langfuse, LangSmith, etc.)? Yes. They solve different problems and don't conflict. Many teams use Prefactor as the governance layer and keep dev-time tracing tools for prompt iteration.

Is Prefactor self-hostable? Yes, on Business and Enterprise plans. Data plane and control plane can both run in your VPC.

How do I add Prefactor to an existing production CrewAI app? The wrap pattern is non-invasive. One line changed. Existing tests, chains, and tools work unchanged.

Related

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