AI Team crewai Ops Untested multi-agent free

Monitoring Check — CrewAI

Turn a status paste or log snippet into a short health note: what changed, severity, and a reversible next step. (CrewAI multi-agent Python sketch for one job.)

Id: crewai/monitoring · Slug: monitoring · Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

What is this

AI Team for CrewAI. Turn a status paste or log snippet into a short health note: what changed, severity, and a reversible next step. (CrewAI multi-agent Python sketch for one job.)

How this runtime fits

This CrewAI sketch is a AI Team implementation typed as AI Team in the catalog. Where roles coordinate, it is fair to call it an agent team or multi-agent system — not a swarm.

Parent AI Team: monitoring · What is an AI Team?

What it does

Turn a status paste or log snippet into a short health note: what changed, severity, and a reversible next step. (CrewAI multi-agent Python sketch for one job.)

Who for

Builders working on Ops jobs who can run CrewAI themselves.

Works with

Need to run

You will run this locally or on infra you control.
No production credentials in prompts or committed files.
Python 3.10+
CrewAI in a venv
Local or keyed LLM endpoint with budget awareness

How to use

Create a venv; install CrewAI (pin versions yourself).
Configure a local OpenAI-compatible base URL when possible.
Save crew_monitoring.py and run: python crew_monitoring.py
Replace PASTE_EXAMPLE_IN with your real input.
Read Pass/Fail gate output before trusting the draft.

Limitations

Not a substitute for professional legal, medical, or investment advice.
Outputs can be wrong; human review required before publish or spend.
Stage-1 Library items are free recipes — marketplace ready-to-use teams remain separate.
Do not attach billing cloud LLM nodes without a human budget check.

Test status

Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

Files

crew_monitoring.py — CrewAI agents + tasks
requirements-hint.txt — Suggested packages (pin yourself)

Full prompt / config / code

# crew_monitoring.py — Monitoring Check (CrewAI)
# Safety: local/OpenAI-compatible endpoint preferred. No keys in source.
# pip install crewai  (pin versions yourself)

from crewai import Agent, Task, Crew, Process

SYSTEM = """You are an ops monitoring note-taker. Goal: short health note from a status paste.

RULES:
- Severity: info|warn|critical based only on provided signals.
- Prefer reversible next steps. No destructive commands.
- No auto-remediation that spends money or deletes data.
- If signal is insufficient, say so.

OUTPUT:
1) Status one-liner
2) What changed
3) Severity + evidence
4) Reversible next step
5) Owner / wait condition"""

GOAL = "Turn a status paste or log snippet into a short health note: what changed, severity, and a reversible next step."

lead = Agent(
    role="Monitoring Check lead",
    goal=GOAL,
    backstory="Local BotShelf operator. One job, then stop. No spend. No destructive tools.",
    allow_delegation=False,
    verbose=False,
)

reviewer = Agent(
    role="Quality gate",
    goal="Check the lead output against the required sections; list gaps only.",
    backstory="Pedantic reviewer. Does not invent facts.",
    allow_delegation=False,
    verbose=False,
)

produce = Task(
    description=(
        "Follow SYSTEM strictly.\n\nSYSTEM:\n" + SYSTEM +
        "\n\nUSER INPUT:\n{user_input}"
    ),
    expected_output="Complete Monitoring Check structured result.",
    agent=lead,
)

gate = Task(
    description=(
        "Verify the previous result has all required sections. "
        "Return Pass/Fail + missing sections. Do not rewrite creatively."
    ),
    expected_output="Pass/Fail and gap list.",
    agent=reviewer,
)

crew = Crew(
    agents=[lead, reviewer],
    tasks=[produce, gate],
    process=Process.sequential,
)

def run(user_input: str) -> str:
    return str(crew.kickoff(inputs={"user_input": user_input}))

if __name__ == "__main__":
    print(run("PASTE_EXAMPLE_IN"))

Example in

Status paste:
- netlify deploy: ok
- checkout function p95: 1800ms (was 400ms)
- error rate 2.1% (was 0.3%)
Window: last 30m

Example out

Status: checkout latency + errors elevated
Changed: p95 400→1800ms; errors 0.3→2.1%
Severity: warn (not confirmed outage)
Next: check last deploy diff; freeze new deploys if rising
Wait: 15m trend

Model / runtime notes

Two-agent crew (produce + gate). Keep tools disabled unless you add read-only tools on purpose.

Canonical Team

Parent: monitoring · implementation_id: crewai/monitoring

GitHub source

teams/monitoring/crewai · commit eb87e8e049fdf9908e438305ff827c7b617505b5 · license: free-use-at-own-risk

Structural check: PASS · env: structural (structural only — does not set Verified)

Related Library items

Related marketplace Team pages

Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.

Recurring Price Check (marketplace Team page — separate entity)
Evidence Gate Check (marketplace Team page — separate entity)