Usa CrewAI con CometAPI

uv init crewai-cometapi
cd crewai-cometapi
uv add 'crewai[anthropic,google-genai]'

read -rsp "CometAPI API key: " COMETAPI_KEY
printf '\n'
export COMETAPI_KEY

export COMETAPI_CHAT_MODEL_ID=your-model-id
export COMETAPI_RESPONSES_MODEL_ID=your-model-id
export COMETAPI_ANTHROPIC_MODEL_ID=your-model-id
export COMETAPI_GEMINI_MODEL_ID=your-model-id

import os

from crewai import Agent, Crew, LLM, Process, Task


api_key = os.environ["COMETAPI_KEY"]

chat_llm = LLM(
    model=os.environ["COMETAPI_CHAT_MODEL_ID"],
    custom_openai=True,
    api="completions",
    base_url="https://api.cometapi.com/v1",
    api_key=api_key,
    max_tokens=512,
    max_retries=0,
)

responses_llm = LLM(
    model=os.environ["COMETAPI_RESPONSES_MODEL_ID"],
    custom_openai=True,
    api="responses",
    base_url="https://api.cometapi.com/v1",
    api_key=api_key,
    max_completion_tokens=512,
    max_retries=0,
)

anthropic_llm = LLM(
    model=f"anthropic/{os.environ['COMETAPI_ANTHROPIC_MODEL_ID']}",
    base_url="https://api.cometapi.com",
    api_key=api_key,
    max_tokens=512,
    max_retries=0,
)

gemini_llm = LLM(
    model=f"gemini/{os.environ['COMETAPI_GEMINI_MODEL_ID']}",
    api_key=api_key,
    max_output_tokens=512,
    thinking_config={"thinking_budget": 0, "include_thoughts": False},
    client_params={
        "http_options": {
            "base_url": "https://api.cometapi.com",
            "api_version": "v1beta",
        }
    },
)

audience_agent = Agent(
    role="Audience researcher",
    goal="Define the audience for an API migration brief",
    backstory="You turn product goals into a precise audience statement.",
    llm=chat_llm,
    tools=[],
    allow_delegation=False,
    max_iter=1,
    max_retry_limit=0,
    verbose=False,
)

requirements_agent = Agent(
    role="Requirements planner",
    goal="Turn an audience statement into implementation requirements",
    backstory="You write concise, testable requirements for API teams.",
    llm=responses_llm,
    tools=[],
    allow_delegation=False,
    max_iter=1,
    max_retry_limit=0,
    verbose=False,
)

risk_agent = Agent(
    role="Risk reviewer",
    goal="Identify the most important migration risk",
    backstory="You review plans for practical delivery risks.",
    llm=anthropic_llm,
    tools=[],
    allow_delegation=False,
    max_iter=1,
    max_retry_limit=0,
    verbose=False,
)

editor_agent = Agent(
    role="Release brief editor",
    goal="Combine research, requirements, and risk into one brief",
    backstory="You preserve source findings while producing clear summaries.",
    llm=gemini_llm,
    tools=[],
    allow_delegation=False,
    max_iter=1,
    max_retry_limit=0,
    verbose=False,
)

audience_task = Task(
    description=(
        "Define one target audience for a team moving an existing OpenAI "
        "integration to a multi-provider API. Return only an Audience heading "
        "and one sentence of at most 20 words."
    ),
    expected_output="An Audience heading followed by one concise sentence.",
    agent=audience_agent,
)

requirements_task = Task(
    description=(
        "Using the audience statement in your context, return only a "
        "Requirements heading and exactly two numbered requirements. Keep each "
        "requirement to at most 18 words."
    ),
    expected_output="A Requirements heading followed by two numbered items.",
    agent=requirements_agent,
    context=[audience_task],
)

risk_task = Task(
    description=(
        "Using the audience and requirements in your context, return only a "
        "Risk heading, one risk sentence, and one mitigation sentence. Keep "
        "each sentence to at most 18 words."
    ),
    expected_output="A Risk heading with one risk and one mitigation.",
    agent=risk_agent,
    context=[audience_task, requirements_task],
)

brief_task = Task(
    description=(
        "Create a release brief from all prior task outputs. Return only these "
        "sections: Audience with one sentence; Requirements with two numbered "
        "items; Risk with one risk and one mitigation. Keep the exact headings "
        "Audience, Requirements, and Risk."
    ),
    expected_output=(
        "A concise release brief with Audience, Requirements, and Risk headings."
    ),
    agent=editor_agent,
    context=[audience_task, requirements_task, risk_task],
)

crew = Crew(
    agents=[
        audience_agent,
        requirements_agent,
        risk_agent,
        editor_agent,
    ],
    tasks=[audience_task, requirements_task, risk_task, brief_task],
    process=Process.sequential,
    verbose=False,
)

result = crew.kickoff()

for index, task_output in enumerate(result.tasks_output, start=1):
    print(f"\n--- Task {index} ---\n{task_output.raw}")

uv run python crew.py