Ah, this is a common issue that occurs when Docker isn't running on your system. Here's how to fix it: 1. First, check if Docker daemon is running on your system: - On Linux:

sudo systemctl status docker

- On macOS: Check if Docker Desktop is running in your menu bar - On Windows: Check if Docker Desktop is running in your system tray 2. If Docker isn't running: - On Linux: Start it with

sudo systemctl start docker

- On macOS/Windows: Start Docker Desktop 3. If Docker is already running, try restarting it: - On Linux:

sudo systemctl restart docker

- On macOS/Windows: Restart Docker Desktop 4. Make sure your user has the proper permissions to access Docker: - On Linux: Ensure your user is in the docker group:

sudo usermod -aG docker $USER

- On macOS/Windows: This is typically handled by Docker Desktop The error you're seeing (

Error while fetching server API version

) typically means that Prefect can't connect to the Docker daemon because either: 1. The Docker daemon isn't running 2. Your user doesn't have the proper permissions to access Docker 3. The Docker socket file is missing or inaccessible After making any of these changes, you'll need to restart your terminal session for the changes to take effect. Let me know if you still have issues after trying these steps!

Ah, that's helpful context - there can be specific issues with Docker Desktop on Apple Silicon (M series) Macs. Let me provide some M-series specific troubleshooting steps: 1. First, verify Docker Desktop installation: - Make sure you have the Apple Silicon version of Docker Desktop installed (not the Intel/Rosetta version) - You can download it directly from: https://docs.docker.com/desktop/install/mac-install/ 2. Check Docker Desktop Settings: - Open Docker Desktop - Click on the gear icon (Settings) - Under "General", ensure "Use virtualization framework" is enabled - Under "Advanced", try increasing the memory allocation (at least 4GB recommended) 3. Reset Docker Desktop completely:

bash
   # First, quit Docker Desktop completely
   killall Docker && killall Docker\ Desktop
   
   # Remove Docker Desktop settings
   rm -rf ~/Library/Group\ Containers/group.com.docker
   rm -rf ~/Library/Containers/com.docker.docker
   rm -rf ~/.docker
   
   # Then restart Docker Desktop fresh

4. Check Docker context:

bash
   # Run this in terminal
   docker context ls
   docker context use default

5. Verify Docker is responding:

bash
   docker info
   docker version

If you're still getting the error after these steps, could you please share: 1. The output of

docker version

2. The exact code you're using to deploy your flow 3. Whether this worked before or if this is a new setup This will help me provide more targeted assistance for your specific situation.

This error message is more specific and helpful. The issue is that Docker isn't properly initialized on your system. Let's fix this step by step for your Mac M series: 1. First, completely remove problematic Docker plugins:

bash
   rm -f ~/.docker/cli-plugins/docker-dev
   rm -f ~/.docker/cli-plugins/docker-feedback

2. Check Docker Desktop status: - Make sure Docker Desktop is actually running - Look for the Docker icon in your Mac's menu bar - If you don't see it, open Docker Desktop from your Applications folder 3. Reset Docker's socket permissions:

bash
   sudo mkdir -p /var/run
   sudo ln -s "$HOME/Library/Containers/com.docker.docker/Data/docker.raw.sock" /var/run/docker.sock

4. Verify Docker installation:

bash
   # This should show both client and server information
   docker version

5. If Docker Desktop still won't start properly: - Open Applications folder - Right-click on Docker Desktop - Select "Show Package Contents" - Navigate to Contents/MacOS/ - Double-click on "Docker Desktop" - This might show you a more detailed error message if there's a startup problem 6. If all else fails, perform a clean reinstall:

bash
   # Remove Docker Desktop
   rm -rf /Applications/Docker.app
   rm -rf ~/.docker
   rm -rf ~/Library/Group\ Containers/group.com.docker
   rm -rf ~/Library/Containers/com.docker.docker
   
   # Then download and install Docker Desktop for Apple Silicon from:
   # <https://desktop.docker.com/mac/main/arm64/Docker.dmg>

After performing these steps, restart your computer and then: 1. Start Docker Desktop 2. Wait for it to fully initialize (the whale icon in the menu bar should stop animating) 3. Open Terminal and run

docker version

to verify both client and server are working Let me know if you're still experiencing issues after trying these steps.

Secret.load

in Prefect 3.x is synchronous. You can use it directly without `await`:

python
from prefect.blocks.system import Secret

# Use it synchronously
secret_value = Secret.load("my-secret-name").get()

This makes it straightforward to use in both synchronous and asynchronous contexts. If you need to use it within an async function, you don't need to await it:

python
from prefect import flow
from prefect.blocks.system import Secret

@flow
async def my_flow():
    # No await needed here
    secret_value = Secret.load("my-secret-name").get()
    # Use secret_value...

Remember that after loading the secret, you need to call

.get()

to retrieve the actual secret value.

There are several ways to add environment variables to a Prefect worker in 3.x: 1. Using prefect.yaml (Recommended):

yaml
deployments:
  - name: my-deployment
    job_variables:
      env:
        MY_VAR: "value"
        DATABASE_URL: "postgresql://..."

2. Using the CLI when starting the worker:

bash
# For a single env var
PREFECT_MY_VAR="value" prefect worker start -p my-pool

# For multiple env vars
MY_VAR="value" DATABASE_URL="postgresql://..." prefect worker start -p my-pool

3. Using a .env file: Create a

.env

file in your worker's directory:

MY_VAR=value
DATABASE_URL=postgresql://...

Then start the worker from that directory. 4. For Docker-based workers, you can add environment variables in your Docker configuration:

yaml
# docker-compose.yml
services:
  worker:
    image: prefecthq/prefect:2-python3.9
    environment:
      - MY_VAR=value
      - DATABASE_URL=postgresql://...
    command: prefect worker start -p my-pool

5. Using job variables in deployment code:

python
from prefect import flow
from prefect.deployments import Deployment

@flow
def my_flow():
    pass

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-deployment",
    job_variables={
        "env": {
            "MY_VAR": "value",
            "DATABASE_URL": "postgresql://..."
        }
    }
)

A few important notes: - Environment variables set at the worker level will be available to all flow runs executed by that worker - Job variables set in

prefect.yaml

or deployment configuration will override worker-level environment variables - For sensitive values, consider using Prefect Secrets instead of environment variables - Variables prefixed with

PREFECT_

are used for Prefect-specific configuration Choose the method that best fits your deployment strategy and security requirements. The

prefect.yaml

approach is generally recommended as it provides version control and clear documentation of your configuration.

Ah, for setting the

DOCKER_HOST

specifically for a worker, here are the approaches depending on how you're running your worker: 1. If using CLI to start the worker:

bash
DOCKER_HOST=unix:///var/run/docker.sock prefect worker start -p your-pool

2. If using systemd service or similar: Create or modify the worker service file to include the environment variable:

ini
[Service]
Environment="DOCKER_HOST=unix:///var/run/docker.sock"
ExecStart=/usr/local/bin/prefect worker start -p your-pool

3. If using prefect.yaml:

yaml
deployments:
  - name: your-deployment
    job_variables:
      env:
        DOCKER_HOST: "unix:///var/run/docker.sock"  # Linux/macOS
        # or for Windows:
        # DOCKER_HOST: "npipe:////./pipe/docker_engine"

4. If running worker in Docker:

yaml
# docker-compose.yml
services:
  worker:
    image: prefecthq/prefect:2-python3.9
    environment:
      - DOCKER_HOST=unix:///var/run/docker.sock
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # Important for Docker access
    command: prefect worker start -p your-pool

5. Using a .env file in your worker directory:

env
DOCKER_HOST=unix:///var/run/docker.sock

Common

DOCKER_HOST

values: - Linux/macOS:

unix:///var/run/docker.sock

- Windows:

npipe:////./pipe/docker_engine

- TCP (remote Docker):

<tcp://your-docker-host:2375>

(unencrypted) or

<tcp://your-docker-host:2376>

(TLS) Remember that if you're using Docker-in-Docker or need to interact with Docker from within containers, you'll also need to: 1. Mount the Docker socket as a volume 2. Ensure proper permissions are set 3. Consider security implications of exposing the Docker socket Choose the method that best fits your deployment setup and make sure to use the appropriate

DOCKER_HOST

value for each environment.

To modify this compose file to include a worker for a Docker work pool, you'll need to add another service for the Docker worker. Here's how you can modify your docker-compose file to add a Docker worker:

yaml
services:
  # ... your existing services ...

  docker-worker:
    image: "prefecthq/prefect:3-python3.13"
    depends_on:
      prefect:
        condition: service_healthy
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # Required for Docker work pool
    entrypoint:
      - /opt/prefect/entrypoint.sh
      - prefect
      - worker
      - start
      - "--pool"
      - "docker-pool"        # Name of your Docker work pool
      - "--type"
      - "docker"            # Specify worker type as docker
      - "--with-healthcheck"
      - "--name"
      - "docker-worker-1"   # Name for this worker
    environment:
      - "PREFECT_API_URL=<http://prefect:4200/api>"
      - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
      - "DOCKER_HOST=unix:///var/run/docker.sock"  # Required for Docker
    healthcheck:
      test:
        - CMD-SHELL
        - pwd
      interval: 5s
      timeout: 5s
      retries: 3

Key changes to note: 1. Added a new service called

docker-worker

2. Specified

--type docker

in the worker start command 3. Added

DOCKER_HOST

environment variable 4. Mounted Docker socket with

/var/run/docker.sock

5. Named the pool

docker-pool

(you can change this to match your work pool name) Before starting this worker, make sure you: 1. Create a Docker work pool in Prefect if you haven't already:

bash
prefect work-pool create docker-pool --type docker

2. The work pool name in the compose file (

docker-pool

in this example) matches the name of the work pool you created. You can run both workers simultaneously - your original agent for the default pool and this new Docker worker for Docker-based deployments.

The Docker worker itself doesn't typically take a lot of RAM, but there are a few things to check and adjust when dealing with the "unhealthy" status: 1. Check the actual logs first to see why it's failing:

bash
docker compose logs docker-worker

2. Adjust worker memory limits in your docker-compose:

yaml
services:
  docker-worker:
    # ... other configurations ...
    deploy:
      resources:
        limits:
          memory: 1G    # Adjust this value
        reservations:
          memory: 512M  # And this value

3. Verify healthcheck configuration. Your current healthcheck just runs

pwd

which might not be the best indicator. Try this instead:

yaml
healthcheck:
  test: ["CMD", "prefect", "version"]  # Or any prefect command that verifies the worker is running
  interval: 10s    # Increased from 5s to give more time
  timeout: 10s     # Increased from 5s
  retries: 3
  start_period: 20s  # Give initial startup time

4. Check Docker system resources:

bash
# Check system resources
docker system df

# Check running containers and their resource usage
docker stats

5. Common issues to check: - Make sure the Docker socket permissions are correct - Verify the PREFECT_API_URL is accessible from within the container - Ensure there's enough disk space for Docker operations - Check if the API key is correct Here's an optimized version of your Docker worker configuration:

yaml
docker-worker:
  image: "prefecthq/prefect:3-python3.13"
  depends_on:
    prefect:
      condition: service_healthy
  volumes:
    - /var/run/docker.sock:/var/run/docker.sock
  entrypoint:
    - /opt/prefect/entrypoint.sh
    - prefect
    - worker
    - start
    - "--pool"
    - "docker-pool"
    - "--type"
    - "docker"
    - "--with-healthcheck"
  deploy:
    resources:
      limits:
        memory: 1G
      reservations:
        memory: 512M
  environment:
    - "PREFECT_API_URL=<http://prefect:4200/api>"
    - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
    - "DOCKER_HOST=unix:///var/run/docker.sock"
    - "PREFECT_LOGGING_LEVEL=DEBUG"  # Temporarily increase logging
  healthcheck:
    test: ["CMD", "prefect", "version"]
    interval: 10s
    timeout: 10s
    retries: 3
    start_period: 20s

If you're still having issues after these adjustments: 1. Temporarily increase logging level to DEBUG 2. Check if your host system has enough resources 3. Consider running

docker system prune

to clear unused resources 4. Verify network connectivity between services Let me know if you still see the unhealthy status after making these changes, and share the logs if possible for more specific guidance.

Here are the steps to check and verify Docker socket permissions: 1. Check the Docker socket permissions on the host:

bash
ls -la /var/run/docker.sock

You should see something like:

srw-rw---- 1 root docker 0 [date] /var/run/docker.sock

2. Check if the user inside the container has proper access:

bash
# Get into the container
docker compose exec docker-worker sh

# Once inside, check:
ls -la /var/run/docker.sock
groups
id

# Try a basic Docker command to test permissions
docker ps

# Check if Docker client can connect
docker info

3. Check if the user is in the Docker group (inside container):

bash
getent group docker

4. Test Docker connectivity explicitly:

bash
# Inside the container
curl --unix-socket /var/run/docker.sock <http://localhost/version>

If you find permission issues, you can fix them by: 1. Add the container's user to the Docker group in your Dockerfile or docker-compose:

yaml
docker-worker:
  # ... other configs ...
  user: "root"  # Temporary for testing
  volumes:
    - /var/run/docker.sock:/var/run/docker.sock

2. Or adjust the socket permissions on the host (be cautious with this):

bash
sudo chmod 666 /var/run/docker.sock

3. Or create a specific user with proper group membership:

yaml
docker-worker:
  # ... other configs ...
  user: "${DOCKER_USER:-1000:1000}"  # Use specific UID:GID
  volumes:
    - /var/run/docker.sock:/var/run/docker.sock
  environment:
    - DOCKER_GID=999  # Replace with your Docker group ID from host

Let me know what the permission checks show, and we can determine the best fix for your setup.

I apologize for my earlier mistake. The

--type

flag is not used when starting a worker. Instead, the worker type is determined by the work pool it's connecting to. Here's the correct way to handle Docker workers: 1. First, create a Docker work pool (if you haven't already):

bash
prefect work-pool create docker-pool --type docker

2. Then start the worker (notice no --type flag):

bash
prefect worker start --pool docker-pool

So your docker-compose service should be updated to:

yaml
docker-worker:
  image: "prefecthq/prefect:3-python3.13"
  depends_on:
    prefect:
      condition: service_healthy
  volumes:
    - /var/run/docker.sock:/var/run/docker.sock
  entrypoint:
    - /opt/prefect/entrypoint.sh
    - prefect
    - worker
    - start
    - "--pool"
    - "docker-pool"        # Name of your Docker work pool
    - "--with-healthcheck"
    - "--name"
    - "docker-worker-1"
  environment:
    - "PREFECT_API_URL=<http://prefect:4200/api>"
    - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
    - "DOCKER_HOST=unix:///var/run/docker.sock"

The worker will automatically handle Docker-specific functionality based on the work pool type it's connected to, rather than needing to specify the type when starting the worker.

You can use the

EXTRA_PIP_PACKAGES

environment variable in your docker-compose file. Here's how to add it:

yaml
docker-worker:
  image: "prefecthq/prefect:3-python3.13"
  environment:
    - "PREFECT_API_URL=<http://prefect:4200/api>"
    - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
    - "DOCKER_HOST=unix:///var/run/docker.sock"
    - "EXTRA_PIP_PACKAGES=pandas requests sqlalchemy"  # Add your packages here

You can: - Specify multiple packages separated by spaces - Include version constraints - Use any valid pip install syntax Examples:

yaml
# Single package
- "EXTRA_PIP_PACKAGES=pandas"

# Multiple packages
- "EXTRA_PIP_PACKAGES=pandas requests sqlalchemy"

# Specific versions
- "EXTRA_PIP_PACKAGES=pandas==2.1.0 requests>=2.31.0"

# Mix of constraints
- "EXTRA_PIP_PACKAGES=pandas>=2.0.0 requests==2.31.0 sqlalchemy"

These packages will be installed when the container starts up, before the Prefect worker begins running.

No,

run_for_deployment

and

flow.deploy()

are not the same thing - they serve different purposes: 1.

flow.deploy()

(or

prefect.deploy

): - Used to CREATE or UPDATE a deployment - Sets up how a flow should be deployed (infrastructure, work pool, etc.) - Part of the deployment creation process

python
   from prefect import flow, deploy
   
   @flow
   def my_flow():
       pass
   
   # Creates a deployment
   deploy(
       my_flow,
       name="my-deployment",
       work_pool_name="my-pool",
       # other deployment options...
   )

2. `run_for_deployment`: - Used to EXECUTE an existing deployment - Runs a specific deployment that has already been created - Part of the flow execution process

python
   from prefect.deployments import run_deployment
   
   # Runs an existing deployment
   flow_run = await run_deployment(
       name="my-flow/my-deployment",
       parameters={"param1": "value1"}
   )

Key differences: -

flow.deploy()

is for setting up HOW a flow should run -

run_for_deployment

is for actually RUNNING a deployment that was previously set up - They operate at different stages of the flow lifecycle - They take different parameters and serve different purposes in your automation pipeline Think of it this way: 1. First you

deploy()

to set up your deployment 2. Then you can

run_for_deployment

to execute that deployment whenever needed

This error typically means the Docker worker can't communicate with the Docker daemon. Let's troubleshoot this step by step: 1. First, verify Docker socket access inside the worker container:

bash
# Get into the worker container
docker compose exec docker-worker sh

# Try these commands inside the container:
docker ps
docker info

2. Check Docker socket permissions inside the container:

bash
ls -la /var/run/docker.sock

It should show something like:

srw-rw---- 1 root docker 0 [date] /var/run/docker.sock

3. Verify your docker-compose configuration has the proper socket mount and environment variables:

yaml
docker-worker:
  image: "prefecthq/prefect:3-python3.13"
  volumes:
    - /var/run/docker.sock:/var/run/docker.sock  # Make sure this is present
  environment:
    - "PREFECT_API_URL=<http://prefect:4200/api>"
    - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
    - "DOCKER_HOST=unix:///var/run/docker.sock"  # Make sure this is present
  # If needed, you might want to run as root temporarily for testing
  user: root

4. Check if Docker daemon is running on the host:

bash
# On the host machine
sudo systemctl status docker  # For Linux
# or
docker info  # For any OS

5. Test Docker connectivity explicitly inside the container:

bash
# Inside the container
curl --unix-socket /var/run/docker.sock <http://localhost/version>

Common solutions: 1. Fix permissions:

bash
# On the host
sudo chmod 666 /var/run/docker.sock

2. Add proper group membership:

yaml
docker-worker:
  # ... other configs ...
  group_add:
    - "${DOCKER_GID:-999}"  # Replace 999 with your Docker group ID

3. Run as root (temporary solution for testing):

yaml
docker-worker:
  # ... other configs ...
  user: root

4. Ensure Docker daemon is running on the host system:

bash
# On Linux
sudo systemctl restart docker

# On macOS/Windows
# Restart Docker Desktop

Let me know what you find when running these checks, and we can determine the best solution for your specific setup.

Let me help you fix the Docker worker configuration. Here's a corrected version of your docker-compose service:

yaml
worker-docker:
    image: "prefecthq/prefect:3-python3.13"
    depends_on:
      prefect:
        condition: service_healthy
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:rw
    # Use privileged mode if needed
    privileged: true
    # Consider running as root for testing
    user: root
    command: >
      sh -c "
      apt-get update && 
      apt-get install -y <http://docker.io|docker.io> &&
      /opt/prefect/entrypoint.sh prefect worker start
      --pool=${DOCKER_POOL_NAME:-docker-pool}
      --with-healthcheck
      --name=${DOCKER_WORKER_NAME:-docker-worker}
      "
    environment:
      - "EXTRA_PIP_PACKAGES=prefect-docker"
      - "PREFECT_API_URL=<http://prefect:4200/api>"
      - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
      - "DOCKER_HOST=unix:///var/run/docker.sock"
      # Optional but helpful environment variables
      - "DOCKER_POOL_NAME=${DOCKER_POOL_NAME:-docker-pool}"
      - "DOCKER_WORKER_NAME=${DOCKER_WORKER_NAME:-docker-worker}"
    healthcheck:
      test: ["CMD", "docker", "info"]
      interval: 10s
      timeout: 5s
      retries: 3
      start_period: 20s

Key changes made: 1. Removed

--type

flag (it's not used when starting a worker) 2. Added

privileged: true

and

user: root

for Docker access 3. Simplified the command structure 4. Improved healthcheck to actually test Docker connectivity 5. Fixed formatting issues in the command string 6. Removed unnecessary environment variables Before starting the worker, make sure to: 1. Create the Docker work pool first:

bash
prefect work-pool create docker-pool --type docker

2. Set required environment variables in your

.env

file:

bash
SERVICE_PASSWORD_APIKEY=your_api_key
DOCKER_POOL_NAME=docker-pool
DOCKER_WORKER_NAME=docker-worker

3. Alternative approach using a custom Dockerfile:

dockerfile
FROM prefecthq/prefect:3-python3.13

# Install Docker and required packages
RUN apt-get update && \
    apt-get install -y <http://docker.io|docker.io> && \
    pip install prefect-docker && \
    rm -rf /var/lib/apt/lists/*

# Set default environment variables
ENV DOCKER_HOST=unix:///var/run/docker.sock

# Keep the entrypoint from the base image
ENTRYPOINT ["/opt/prefect/entrypoint.sh"]

Then update your docker-compose to use this custom image:

yaml
worker-docker:
    build: .  # Point to directory containing your Dockerfile
    depends_on:
      prefect:
        condition: service_healthy
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:rw
    privileged: true
    command: >
      prefect worker start
      --pool=${DOCKER_POOL_NAME:-docker-pool}
      --with-healthcheck
      --name=${DOCKER_WORKER_NAME:-docker-worker}
    environment:
      - "PREFECT_API_URL=<http://prefect:4200/api>"
      - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
    healthcheck:
      test: ["CMD", "docker", "info"]
      interval: 10s
      timeout: 5s
      retries: 3

If you're still having issues: 1. Check the worker logs:

docker compose logs worker-docker

2. Try getting into the container to debug:

bash
docker compose exec worker-docker sh
# Then test Docker:
docker info

3. Verify Docker socket permissions on the host:

bash
ls -la /var/run/docker.sock

Let me know if you still encounter any issues with this configuration.

This error usually occurs when there's a problem with the WebSocket connection between the worker and the Prefect server. Here are several potential fixes: 1. Check API URL Configuration Make sure your API URL is correctly formatted and accessible. In your docker-compose, verify:

yaml
environment:
  - "PREFECT_API_URL=<http://prefect:4200/api>"  # Not https, unless specifically configured

2. Network Configuration Make sure your services are on the same Docker network. Add a network section to your docker-compose:

yaml
services:
  prefect:
    # ... other config ...
    networks:
      - prefect-network

  worker-docker:
    # ... other config ...
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network

3. DNS Resolution If you're using service names for communication, make sure they can resolve. Try using explicit IP addresses for testing:

yaml
environment:
  - "PREFECT_API_URL=<http://127.0.0.1:4200/api>"  # For local testing

4. Healthcheck Improvements Add better healthchecks to ensure services are truly ready:

yaml
healthcheck:
  test: ["CMD", "curl", "-f", "<http://localhost:4200/api/health>"]
  interval: 10s
  timeout: 5s
  retries: 5
  start_period: 30s

5. Debug Mode Enable debug logging to get more information:

yaml
environment:
  - "PREFECT_LOGGING_LEVEL=DEBUG"

6. Service Dependencies Make sure your services start in the correct order:

yaml
worker-docker:
  depends_on:
    prefect:
      condition: service_healthy

Here's a complete example of a fixed configuration:

yaml
services:
  prefect:
    image: "prefecthq/prefect:3-python3.13"
    ports:
      - "4200:4200"
    environment:
      - "PREFECT_API_URL=<http://prefect:4200/api>"
      - "PREFECT_LOGGING_LEVEL=DEBUG"
    networks:
      - prefect-network
    healthcheck:
      test: ["CMD", "curl", "-f", "<http://localhost:4200/api/health>"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 30s

  worker-docker:
    image: "prefecthq/prefect:3-python3.13"
    depends_on:
      prefect:
        condition: service_healthy
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock:rw
    environment:
      - "PREFECT_API_URL=<http://prefect:4200/api>"
      - "PREFECT_API_KEY=${SERVICE_PASSWORD_APIKEY}"
      - "PREFECT_LOGGING_LEVEL=DEBUG"
    networks:
      - prefect-network
    command: prefect worker start --pool docker-pool

networks:
  prefect-network:
    name: prefect-network

To troubleshoot: 1. Check connectivity from within the worker container:

bash
# Get into the worker container
docker compose exec worker-docker sh

# Test connection to Prefect server
curl <http://prefect:4200/api/health>

# Check DNS resolution
ping prefect

2. Verify logs from both services:

bash
# Check Prefect server logs
docker compose logs prefect

# Check worker logs
docker compose logs worker-docker

3. Verify environment variables:

bash
docker compose exec worker-docker env | grep PREFECT

Let me know if you still see the error after trying these solutions, and share any new error messages that appear.