Swarms 上线 Docker Hub：如何在 Docker 中运行智能体和 Swarm

docker pull swarmscorp/swarms:latest

docker run --rm swarmscorp/swarms swarms --help

docker run -it --rm -e OPENAI_API_KEY swarmscorp/swarms

>>> from swarms import Agent
>>> agent = Agent(model_name="gpt-5.4-mini", max_loops=1)
>>> agent.run("Say hi in three words")

from swarms import Agent

agent = Agent(
    agent_name="Docker-Analyst",
    model_name="gpt-5.4-mini",
    max_loops=1,
)

print(agent.run("In three short bullet points, why run AI agents in containers?"))

docker run --rm -e OPENAI_API_KEY -v "$PWD:/app" swarmscorp/swarms python agent.py

docker run --rm --env-file .env -v "$PWD:/app" swarmscorp/swarms python agent.py

import platform

from swarms import Agent


def system_info() -> str:
    """Report the operating system and Python version this agent runs on.

    Returns:
        str: The platform and the Python version.
    """
    return f"{platform.platform()}, Python {platform.python_version()}"


agent = Agent(
    agent_name="Container-Inspector",
    model_name="gpt-5.4-mini",
    tools=[system_info],
    max_loops=2,
)

print(agent.run("Which operating system and Python version are you running on?"))

docker run --rm -e OPENAI_API_KEY -v "$PWD:/app" swarmscorp/swarms python tools_agent.py

from swarms import Agent, SequentialWorkflow

researcher = Agent(
    agent_name="Researcher",
    system_prompt="List the key facts about the topic, briefly.",
    model_name="gpt-5.4-mini",
    max_loops=1,
)
writer = Agent(
    agent_name="Writer",
    system_prompt="Turn the facts you are given into one clear paragraph.",
    model_name="gpt-5.4-mini",
    max_loops=1,
)

pipeline = SequentialWorkflow(
    agents=[researcher, writer],
    max_loops=1,
    output_type="final",
)
print(pipeline.run("Multi-stage Docker builds"))

docker run --rm -e OPENAI_API_KEY -v "$PWD:/app" swarmscorp/swarms python workflow.py

docker run --rm -e OPENAI_API_KEY swarmscorp/swarms \
  swarms agent \
  --name "Explainer" \
  --description "Explains things simply" \
  --system-prompt "You explain technical ideas in plain language." \
  --task "What is a container image? One sentence." \
  --model-name gpt-5.4-mini \
  --max-loops 1 \
  --no-interactive

agents:
  - agent_name: "Researcher"
    model:
      model_name: "gpt-5.4-mini"
    system_prompt: "List the key facts about the topic, briefly."
    max_loops: 1

  - agent_name: "Writer"
    model:
      model_name: "gpt-5.4-mini"
    system_prompt: "Turn the facts you are given into one clear paragraph."
    max_loops: 1

swarm_architecture:
  name: "Research-Pipeline"
  description: "A researcher gathers facts and a writer turns them into prose"
  swarm_type: "SequentialWorkflow"
  max_loops: 1
  task: "Explain Docker volumes"

docker run --rm -e OPENAI_API_KEY -v "$PWD:/app" swarmscorp/swarms \
  swarms run-agents --yaml-file agents.yaml

services:
  agent:
    image: swarmscorp/swarms:16.0.1
    env_file: .env
    volumes:
      - .:/app
    command: python agent.py

docker compose run --rm agent

FROM swarmscorp/swarms:16.0.1

USER root
RUN --mount=from=ghcr.io/astral-sh/uv:0.12.23,source=/uv,target=/bin/uv \
    uv pip install --python /opt/venv/bin/python --no-cache yfinance
USER swarms

COPY --chown=swarms:swarms agent.py .
CMD ["python", "agent.py"]

docker build -t my-agent .
docker run --rm -e OPENAI_API_KEY my-agent

git clone https://github.com/kyegomez/swarms.git
cd swarms
docker build -t swarms .

docker build --build-arg PYTHON_VERSION=3.12 -t swarms:py312 .

docker buildx build --platform linux/amd64,linux/arm64 -t <your-registry>/swarms:dev --push .