Configure CrewAI agents to route all LLM calls through Anoman using the OpenAI-compatible base URL. Guardrails and policy enforcement apply to every crew task with zero changes to your crew definition.

Prerequisites

An Anoman AI account with an active API key
Python 3.10+
CrewAI installed

Step 1: Install dependencies

pip install crewai crewai-tools

Step 2: Configure the LLM with Anoman

Create a LLM instance pointing to Anoman's OpenAI-compatible endpoint. Pass this as the llm parameter on each agent.

from crewai import Agent, Crew, Task
from crewai import LLM
 
# Configure Anoman as the LLM backend
anoman_llm = LLM(
    model="gpt-4o-mini",
    api_key="anm-sk-your-key-here",
    base_url="https://api.anoman.io/v1",
)

Step 3: Define agents with Anoman LLM

Pass the anoman_llm instance to each agent. Your crew definition stays unchanged — every LLM call routes through Anoman automatically.

researcher = Agent(
    role="Research Analyst",
    goal="Find and summarize relevant information",
    backstory="You are an expert at finding and synthesizing information.",
    llm=anoman_llm,
    verbose=True,
)
 
writer = Agent(
    role="Content Writer",
    goal="Produce clear, accurate reports",
    backstory="You transform research into well-structured documents.",
    llm=anoman_llm,
    verbose=True,
)
 
research_task = Task(
    description="Research the latest developments in AI safety.",
    agent=researcher,
    expected_output="A summary of key findings.",
)
 
write_task = Task(
    description="Write a report based on the research.",
    agent=writer,
    expected_output="A 500-word report.",
)
 
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    verbose=True,
)
 
result = crew.kickoff()
print(result)

Alternative: environment variables

If you prefer not to pass api_key and base_url explicitly, set them as environment variables. CrewAI reads these when OPENAI_API_KEY is set.

export OPENAI_API_KEY=anm-sk-your-key-here
export OPENAI_BASE_URL=https://api.anoman.io/v1

When a guardrail triggers

If a task prompt is blocked by the guardrail pipeline, the API returns a 403. CrewAI surfaces this as an exception on the affected task.

{
  "error": {
    "code": "guardrail_triggered",
    "message": "Request blocked by guardrail pipeline",
    "guardrail": "injection",
    "score": 0.91
  }
}

Check docs/openapi/ for the current error schema.

Need help with your integration?

Join the Founding 50 for early access and direct support from the Anoman team.

Join Founding 50

Connect CrewAI to Anoman AI