CrewAI

pip install 'failproofai-sdk[crewai]'

import failproofai_sdk

failproofai_sdk.configure(environment="production")
failproofai_sdk.instrument()

with failproofai_sdk.session():
    Crew(agents=[analyst, writer], tasks=[gather, summarise]).kickoff()

crew
└─ manager
   ├─ researcher      delegiert
   └─ writer          delegiert

import failproofai_sdk
from crewai import Agent, Crew, Process, Task
from crewai.tools import tool

failproofai_sdk.configure(environment="production")
failproofai_sdk.instrument()

MODEL = "openai/gpt-4o-mini"
METRICS = {"revenue": "$4.2M ARR, up 12% QoQ", "churn": "3.1% monthly, up from 2.4%"}


@tool("lookup_metric")
def lookup_metric(name: str) -> str:
    """Look up a business metric by name. Valid: revenue, churn."""
    return METRICS.get(name.lower().strip(), "unknown metric")


analyst = Agent(
    role="analyst",                     # wird zu agent_id
    goal="pull the numbers that matter and state them plainly",
    backstory="You read dashboards for a living.",
    tools=[lookup_metric],
    llm=MODEL,
)
writer = Agent(
    role="writer",
    goal="turn numbers into three lines an exec will read",
    backstory="You write board updates. You never pad.",
    llm=MODEL,
)

gather = Task(
    description="Look up 'revenue' and 'churn' with the tool.",
    expected_output="Two lines, one metric each.",
    agent=analyst,
)
summarise = Task(
    description="Using the metrics above, write a three-line exec summary.",
    expected_output="Exactly three lines.",
    agent=writer,
    context=[gather],
)

with failproofai_sdk.session():
    result = Crew(
        agents=[analyst, writer],
        tasks=[gather, summarise],
        process=Process.sequential,
    ).kickoff()

Agent(role="analyst", ...)          # agent_id = "analyst"
Agent(role="analyst-7f3a2b", ...)   # ein Facetten-Eintrag pro Run

with failproofai_sdk.session(f"support-{ticket_id}"):
    Crew(agents=[...], tasks=[...]).kickoff()

failproofai_sdk.instrument(
    "crewai",
    session_id=None,          # jeden Run an eine feste Session-ID binden
)

human_wait      der Prompt und seine Optionen
agent_pause     startet die Pausenzeitr uhr
agent_resume    stoppt sie
human_input     die Antwort, mit gemessener Wartezeit