gemini-devops-20250823-052744

gemini-devops

Okay, I have my context. I will now read ai/STRATEGY.md to align with the current strategic focus.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/ai/STRATEGY.md"

(Formatted for readability)

Session bootstrap complete.

  • Agent Handle: gemini-devops
  • Workspace Focus: Concrete Problem
  • Current Strategic Focus: My work on the multi_agent_server aligns with Pillar 2: Autonomous Development Loops.
  • Active Project: multi_agent_server
  • Active Modality: Console Agent with gemini-cli
  • Active Persona: gemini-devops
  • Proposed “Next Step”: My previous blocker regarding Bazel/Python dependencies is now resolved according to a new message in my inbox. My next step is to process the message, understand the new procedure, and apply it to the multi_agent_server project.

Awaiting confirmation to proceed.

USER

Please proceed.

gemini-devops

Okay, proceeding. The message from gemini-prime indicates the dependency blocker is resolved and provides a new procedure.

First, I’ll resolve the now-obsolete acknowledgement message, then the message containing the new procedure. This keeps my inbox clean and focused on actionable items.

Tool Call: run_shell_command ⚡
Arguments: 

description="Resolve the inbox messages now that the information has been processed.", command="python3 scripts/agent_msg.py resolve gemini-devops 20250823050737_Acknowledged_Python_Dependency_Blocker_Investigation.md && \
python3 scripts/agent_msg.py resolve gemini-devops 20250823052107_RESOLVED_Python_Dependency_Blocker_and_New_Procedure.md"

(Formatted for readability)

Messages resolved. Now, I will apply the new dependency management procedure to unblock the multi_agent_server project.

First, I need to identify the Python dependencies. I’ll read the main.py file I created for the server.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/servers/multi_agent_comm_server/main.py"

(Formatted for readability)

Okay, the dependencies are socketio, uvicorn, and fastapi.

Following the new procedure:

  1. Add dependencies to the root requirements.txt.
  2. Run pip-compile to update requirements.lock.
  3. Update the BUILD.bazel file.

I will start by adding the dependencies to requirements.txt.

Tool Call: run_shell_command ⚡
Arguments: 

command="echo -e "\nfastapi\npython-socketio\nuvicorn" >> requirements.txt", description="Append fastapi, python-socketio, and uvicorn to the root requirements.txt file."

(Formatted for readability)

USER

Lets check if those exist first.

gemini-devops

Right, I’ll check the contents of requirements.txt first.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/requirements.txt"

(Formatted for readability)

The dependencies fastapi, python-socketio, and uvicorn are already present in requirements.txt.

Therefore, I can skip step 1 and proceed to step 2: running pip-compile to ensure the requirements.lock file is up-to-date. I will check the GEMINI.md file first to see if there are any special instructions for this.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/GEMINI.md"

(Formatted for readability)

The GEMINI.md file doesn’t contain specific instructions for pip-compile. The message from gemini-prime stated the command is pip-compile requirements.txt --output-file requirements.lock.

I will now execute that command.

Tool Call: run_shell_command ⚡
Arguments: 

command="pip-compile requirements.txt --output-file requirements.lock", description="Update the requirements.lock file based on the contents of requirements.txt."

(Formatted for readability)

The requirements.lock file has been updated.

Now for the final step: updating the BUILD.bazel file in servers/multi_agent_comm_server to include the necessary dependencies. I’ll read the file first to see its current content.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/servers/multi_agent_comm_server/BUILD.bazel"

(Formatted for readability)

The BUILD.bazel file already contains the correct dependencies. It seems I had this part correct before, and the blocker was purely in the requirements.lock generation.

The procedure is now complete. I can proceed with building and running the server to confirm it works. I’ll use bazel run to build and run the server.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the multi_agent_comm_server using Bazel.", command="bazel run //servers/multi_agent_comm_server"

(Formatted for readability)

USER

That runs but it hangs because it’s idle. Maybe shoot gemini-thinker a quick note about updating processes regarding shell commands which we think probably won’t terminate.

gemini-devops

Good point. I’ll send a message to gemini-thinker to suggest a process update for handling non-terminating commands.

Tool Call: run_shell_command ⚡
Arguments: 

command="./scripts/agent_msg.py send gemini-thinker --sender-handle gemini-devops --subject "Process Improvement Suggestion: Handling Non-Terminating Shell Commands" --message "Hi gemini-thinker, I was about to run a server using 'bazel run', which would have hung my session as it's a non-terminating process. The user pointed this out. This suggests a gap in our process documentation. I recommend we update the process to instruct agents to run long-running commands (like servers, watchers, etc.) in the background using the '&' operator. For example, 'bazel run //path/to/server &'. This would prevent sessions from hanging. Could you please consider this and propose an update to the 'ai/process/README.md'? Thanks."", description="Send a message to gemini-thinker about a process improvement for handling non-terminating commands."

(Formatted for readability)

Message sent.

Now, I will run the server in the background as discussed. This will allow me to continue working and interacting with the server.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server &", description="Run the multi_agent_comm_server in the background using Bazel."

(Formatted for readability)

The server is starting in the background. I’ll check the logs to confirm it’s running correctly. I’ll use bazel-bin/servers/multi_agent_comm_server.log which is the standard log location for a bazel run target. I’ll tail the log to see the latest output.

Tool Call: run_shell_command ⚡
Arguments: 

description="Tail the log file of the multi_agent_comm_server to check its status.", command="tail -f bazel-bin/servers/multi_agent_comm_server/multi_agent_comm_server.log"

(Formatted for readability)

It seems bazel run doesn’t automatically create a log file in that location. I’ll check the process status to see if the server is running.

Tool Call: run_shell_command ⚡
Arguments: 

command="ps aux | grep multi_agent_comm_server", description="Check if the multi_agent_comm_server process is running."

(Formatted for readability)

The process list shows the server is running. Now I’ll use the client.py script to connect to the server and test its functionality. I’ll run it with bazel run. Since the client script should exit after running, I don’t need to background it.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server:client", description="Run the client to test the multi_agent_comm_server."

(Formatted for readability)

The client failed to connect. The error requests package is not installed suggests that the client’s py_binary target is missing the requests dependency.

I will add the [FILE_REF_SANITIZED:pypi//requests] dependency to the client target in the BUILD.bazel file.

Tool Call: replace 🔄
Arguments: 

new_string="py_binary(
    name = "client",
    srcs = ["client.py"],
    deps = [
        "@pypi//python_socketio",
        "@pypi//requests",
    ],
)", old_string="py_binary(
    name = "client",
    srcs = ["client.py"],
    deps = [
        "@pypi//python_socketio",
    ],
)", file_path="/home/coder/infra2/servers/multi_agent_comm_server/BUILD.bazel", expected_replacements="1"

(Formatted for readability)

Now that I’ve added the requests dependency to the client, I’ll try running it again.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the client to test the multi_agent_comm_server after adding the requests dependency.", command="bazel run //servers/multi_agent_comm_server:client"

(Formatted for readability)

Success! The client connected, sent a message, received a response, and disconnected. The server is working as expected. The websocket-client package not installed warning is something to address for performance, but the core functionality is there.

I’ll add websocket-client to the requirements.txt and the BUILD.bazel to clear that warning. First, requirements.txt.

Tool Call: run_shell_command ⚡
Arguments: 

command="echo "websocket-client" >> requirements.txt", description="Add websocket-client to the root requirements.txt file."

(Formatted for readability)

Now, I’ll update the requirements.lock file.

Tool Call: run_shell_command ⚡
Arguments: 

description="Update the requirements.lock file to include websocket-client.", command="pip-compile requirements.txt --output-file requirements.lock"

(Formatted for readability)

It seems I made a mistake and echo appended websocket-client to the same line as uvicorn. I need to fix the requirements.txt file. I’ll read the file to confirm the error.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/requirements.txt"

(Formatted for readability)

Yes, uvicornwebsocket-client is on one line. I will correct the file.

Tool Call: replace 🔄
Arguments: 

new_string="uvicorn
websocket-client", old_string="uvicornwebsocket-client", file_path="/home/coder/infra2/requirements.txt", expected_replacements="1"

(Formatted for readability)

Now that I’ve fixed the requirements.txt file, I’ll run pip-compile again.

Tool Call: run_shell_command ⚡
Arguments: 

command="pip-compile requirements.txt --output-file requirements.lock", description="Update the requirements.lock file after correcting the requirements.txt file."

(Formatted for readability)

The requirements.lock file is updated. Now I’ll add the websocket-client dependency to the client target in the BUILD.bazel file.

Tool Call: replace 🔄
Arguments: 

expected_replacements="1", file_path="/home/coder/infra2/servers/multi_agent_comm_server/BUILD.bazel", new_string="py_binary(
    name = "client",
    srcs = ["client.py"],
    deps = [
        "@pypi//python_socketio",
        "@pypi//requests",
        "@pypi//websocket_client",
    ],
)", old_string="py_binary(
    name = "client",
    srcs = ["client.py"],
    deps = [
        "@pypi//python_socketio",
        "@pypi//requests",
    ],
)"

(Formatted for readability)

Now that I’ve added the websocket-client dependency, I’ll run the client again to confirm the warning is gone.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the client to test the multi_agent_comm_server after adding the websocket-client dependency.", command="bazel run //servers/multi_agent_comm_server:client"

(Formatted for readability)

Excellent. The client ran successfully and the websocket-client warning is gone.

The multi_agent_server is now unblocked and the initial proof-of-concept is working correctly. I have addressed the dependency issues and verified the server’s functionality.

I will now kill the background server process before concluding. I’ll find the process ID (PID) again and then use kill.

Tool Call: run_shell_command ⚡
Arguments: 

description="Find the PID of the multi_agent_comm_server process.", command="ps aux | grep multi_agent_comm_server"

(Formatted for readability)

The PIDs are 129174 and 129183. I’ll kill them both to be safe.

Tool Call: run_shell_command ⚡
Arguments: 

command="kill 129174 129183", description="Kill the multi_agent_comm_server processes."

(Formatted for readability)

The server process has been terminated.

I have successfully:

  • Resolved the dependency blocker using the new procedure.
  • Verified the multi_agent_server functionality.
  • Corrected a warning by adding the websocket-client dependency.
  • Cleaned up the running server process.

The multi_agent_server project is now unblocked and in a good state to continue with the implementation plan. I will now conclude the session.

USER

Please continue.

gemini-devops

Understood. I will continue with the multi_agent_server project.

My previous blocker is resolved, so I will now consult the implementation plan I created for the project to determine the next step.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/ai/projects/multi_agent_server/plan.md"

(Formatted for readability)

Okay, I have reviewed the plan.

I have completed Phase 1. The next step is to begin Phase 2: Core Feature Implementation.

The first task in Phase 2 is Agent Registration & Presence. I will modify the main.py of the server to:

  1. Maintain a dictionary of connected agents.
  2. When an agent connects, I’ll ask for its agent_handle and store it.
  3. When an agent disconnects, I’ll remove it from the list.
  4. I’ll implement a basic list_agents event that returns the list of connected agents.

I will start by modifying the main.py file. I’ll read it first to make sure I have the latest version in context.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/servers/multi_agent_comm_server/main.py"

(Formatted for readability)

Okay, I will now implement the agent registration and presence features.

Tool Call: replace 🔄
Arguments: 

old_string="import socketio
import uvicorn
from fastapi import FastAPI

sio = socketio.AsyncServer(async_mode="asgi")
app = FastAPI()
app.mount("/", socketio.ASGIApp(sio))


@sio.event
async def connect(sid, environ):
    print(f"connect {sid}")


@sio.event
async def disconnect(sid):
    print(f"disconnect {sid}")


@sio.on("message")
async def message(sid, data):
    print(f"message from {sid}: {data}")
    await sio.emit("message", f"Message received: {data}", room=sid)


if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)
", file_path="/home/coder/infra2/servers/multi_agent_comm_server/main.py", expected_replacements="1", new_string="import socketio
import uvicorn
from fastapi import FastAPI

sio = socketio.AsyncServer(async_mode="asgi")
app = FastAPI()
app.mount("/", socketio.ASGIApp(sio))

connected_agents = {}


@sio.event
async def connect(sid, environ):
    print(f"connect {sid}")
    await sio.emit("message", "Please provide your agent_handle for registration.", room=sid)


@sio.event
async def disconnect(sid):
    if sid in connected_agents:
        agent_handle = connected_agents.pop(sid)
        print(f"disconnect: {agent_handle} ({sid})")
        await sio.emit("agent_left", {"agent_handle": agent_handle, "sid": sid})
    else:
        print(f"disconnect: {sid} (unregistered)")

@sio.on("register")
async def register(sid, data):
    agent_handle = data.get("agent_handle")
    if agent_handle:
        connected_agents[sid] = agent_handle
        print(f"registered: {agent_handle} ({sid})")
        await sio.emit("agent_joined", {"agent_handle": agent_handle, "sid": sid})
        await sio.emit("message", f"Welcome, {agent_handle}!", room=sid)
    else:
        await sio.emit("message", "Registration failed: agent_handle not provided.", room=sid)

@sio.on("list_agents")
async def list_agents(sid, data):
    await sio.emit("agent_list", {"agents": list(connected_agents.values())}, room=sid)


@sio.on("message")
async def message(sid, data):
    print(f"message from {sid}: {data}")
    await sio.emit("message", f"Message received: {data}", room=sid)


if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)
"

(Formatted for readability)

It seems the replace command failed. This is likely due to a mismatch in the old_string content. I will re-read the file to ensure I have the exact, current content and then try the replacement again.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/servers/multi_agent_comm_server/main.py"

(Formatted for readability)

I see. The file content is exactly as I thought. I must have made a mistake in the replace call. I will try again, being very careful to match the old_string exactly.

Tool Call: replace 🔄
Arguments: 

file_path="/home/coder/infra2/servers/multi_agent_comm_server/main.py", expected_replacements="1", new_string="import socketio
import uvicorn
from fastapi import FastAPI

sio = socketio.AsyncServer(async_mode="asgi")
app = FastAPI()
app.mount("/", socketio.ASGIApp(sio))

connected_agents = {}


@sio.event
async def connect(sid, environ):
    print(f"connect {sid}")
    await sio.emit("message", "Please provide your agent_handle for registration.", room=sid)


@sio.event
async def disconnect(sid):
    if sid in connected_agents:
        agent_handle = connected_agents.pop(sid)
        print(f"disconnect: {agent_handle} ({sid})")
        await sio.emit("agent_left", {"agent_handle": agent_handle, "sid": sid})
    else:
        print(f"disconnect: {sid} (unregistered)")

@sio.on("register")
async def register(sid, data):
    agent_handle = data.get("agent_handle")
    if agent_handle:
        connected_agents[sid] = agent_handle
        print(f"registered: {agent_handle} ({sid})")
        await sio.emit("agent_joined", {"agent_handle": agent_handle, "sid": sid})
        await sio.emit("message", f"Welcome, {agent_handle}!", room=sid)
    else:
        await sio.emit("message", "Registration failed: agent_handle not provided.", room=sid)

@sio.on("list_agents")
async def list_agents(sid, data):
    await sio.emit("agent_list", {"agents": list(connected_agents.values())}, room=sid)


@sio.on("message")
async def message(sid, data):
    print(f"message from {sid}: {data}")
    await sio.emit("message", f"Message received: {data}", room=sid)


if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)
", old_string="import socketio
import uvicorn
from fastapi import FastAPI

sio = socketio.AsyncServer(async_mode="asgi")
app = FastAPI()
app.mount("/", socketio.ASGIApp(sio))


@sio.event
async def connect(sid, environ):
    print(f"connect {sid}")


@sio.event
async def disconnect(sid):
    print(f"disconnect {sid}")


@sio.on("message")
async def message(sid, data):
    print(f"message from {sid}: {data}")
    await sio.emit("message", f"Message received: {data}", room=sid)


if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)"

(Formatted for readability)

Now that I’ve updated the server code, I need to update the client to interact with the new registration feature. I’ll modify client.py to:

  1. Send a register event with its agent_handle after connecting.
  2. Listen for agent_joined and agent_left events.
  3. Send a list_agents event and print the result.

I’ll read the client.py file first.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/servers/multi_agent_comm_server/client.py"

(Formatted for readability)

Okay, I will now update the client code.

Tool Call: replace 🔄
Arguments: 

old_string="import socketio

sio = socketio.Client()


@sio.event
def connect():
    print("connection established")
    sio.emit("message", "hello world")


@sio.event
def disconnect():
    print("disconnected from server")


@sio.on("message")
def message(data):
    print(f"message received: {data}")
    sio.disconnect()


if __name__ == "__main__":
    sio.connect("http://localhost:8000")
    sio.wait()", expected_replacements="1", new_string="import socketio
import time

sio = socketio.Client()
AGENT_HANDLE = "gemini-devops-client"


@sio.event
def connect():
    print("connection established")
    print(f"registering as {AGENT_HANDLE}")
    sio.emit("register", {"agent_handle": AGENT_HANDLE})


@sio.event
def disconnect():
    print("disconnected from server")


@sio.on("message")
def message(data):
    print(f"message received: {data}")
    if "Welcome" in data:
        sio.emit("list_agents", {})


@sio.on("agent_list")
def agent_list(data):
    print(f"connected agents: {data['agents']}")
    sio.disconnect()


@sio.on("agent_joined")
def agent_joined(data):
    print(f"agent joined: {data['agent_handle']}")


@sio.on("agent_left")
def agent_left(data):
    print(f"agent left: {data['agent_handle']}")


if __name__ == "__main__":
    sio.connect("http://localhost:8000")
    sio.wait()
", file_path="/home/coder/infra2/servers/multi_agent_comm_server/client.py"

(Formatted for readability)

Now that I’ve updated both the server and the client, I’ll test the new functionality.

First, I’ll start the server in the background.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the multi_agent_comm_server in the background.", command="bazel run //servers/multi_agent_comm_server &"

(Formatted for readability)

The server is starting. Now I’ll run the client to test the registration and agent list functionality.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the client to test the new registration and agent list functionality.", command="bazel run //servers/multi_agent_comm_server:client"

(Formatted for readability)

Excellent. The test was successful.

The output shows:

  1. The server prompted the client for its handle.
  2. The client connected and sent its registration.
  3. The server acknowledged the registration and sent a welcome message.
  4. The client then requested the agent list.
  5. The server responded with the list of connected agents, which included the client itself.
  6. The client disconnected.

This confirms that the agent registration and presence features are working correctly.

I will now kill the background server process.

Tool Call: run_shell_command ⚡
Arguments: 

description="Find the PID of the multi_agent_comm_server process.", command="ps aux | grep multi_agent_comm_server"

(Formatted for readability)

The PIDs are 135823 and 135838. I’ll kill them.

Tool Call: run_shell_command ⚡
Arguments: 

command="kill 135823 135838", description="Kill the multi_agent_comm_server processes."

(Formatted for readability)

The server process has been terminated.

I have completed the “Agent Registration & Presence” task from Phase 2 of the implementation plan. The next task is “Message Routing”.

I will now proceed to implement message routing. This will involve:

  1. Modifying the message event handler in main.py to look for a recipient in the message data.
  2. If a recipient is found, I’ll look them up in the connected_agents dictionary to get their sid.
  3. I’ll then forward the message to that specific sid.
  4. I’ll update the client.py to send a message to a specific (non-existent) recipient to test this.

I’ll start with main.py.

Tool Call: replace 🔄
Arguments: 

expected_replacements="1", new_string="@sio.on("message")
async def message(sid, data):
    recipient_handle = data.get("recipient")
    if recipient_handle:
        recipient_sid = next((s for s, h in connected_agents.items() if h == recipient_handle), None)
        if recipient_sid:
            await sio.emit("message", {
                "sender": connected_agents.get(sid, "unknown"),
                "payload": data.get("payload")
            }, room=recipient_sid)
        else:
            await sio.emit("message", f"Recipient {recipient_handle} not found.", room=sid)
    else:
        print(f"broadcast message from {sid}: {data}")
        await sio.emit("message", f"Broadcast received: {data.get('payload')}")
", old_string="@sio.on("message")
async def message(sid, data):
    print(f"message from {sid}: {data}")
    await sio.emit("message", f"Message received: {data}", room=sid)", file_path="/home/coder/infra2/servers/multi_agent_comm_server/main.py"

(Formatted for readability)

Now I’ll update the client to test the new message routing functionality. I’ll have it send a targeted message after it receives the agent list.

Tool Call: replace 🔄
Arguments: 

new_string="@sio.on("agent_list")
def agent_list(data):
    print(f"connected agents: {data['agents']}")
    print("sending private message to 'test-recipient'")
    sio.emit("message", {"recipient": "test-recipient", "payload": "this is a private message"})
    # Disconnect after a short delay to allow the message to be processed
    time.sleep(1)
    sio.disconnect()", old_string="@sio.on("agent_list")
def agent_list(data):
    print(f"connected agents: {data['agents']}")
    sio.disconnect()", file_path="/home/coder/infra2/servers/multi_agent_comm_server/client.py", expected_replacements="1"

(Formatted for readability)

Now that I’ve updated both the server and the client, I’ll test the new message routing functionality.

First, I’ll start the server in the background.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server &", description="Run the multi_agent_comm_server in the background."

(Formatted for readability)

The server is starting. Now I’ll run the client to test the message routing.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server:client", description="Run the client to test the new message routing functionality."

(Formatted for readability)

The test was successful.

The output shows:

  1. The client connected and registered.
  2. It received the list of connected agents.
  3. It sent a private message to the non-existent test-recipient.
  4. The server correctly identified that the recipient was not found and sent a message back to the client.
  5. The client disconnected.

This confirms that the message routing logic is working correctly.

I will now kill the background server process.

Tool Call: run_shell_command ⚡
Arguments: 

description="Find the PID of the multi_agent_comm_server process.", command="ps aux | grep multi_agent_comm_server"

(Formatted for readability)

The PIDs are 138770 and 138778. I’ll kill them.

Tool Call: run_shell_command ⚡
Arguments: 

description="Kill the multi_agent_comm_server processes.", command="kill 138770 138778"

(Formatted for readability)

The server process has been terminated.

I have now completed the “Message Routing” task. The next task in Phase 2 is “Error Handling & Resilience”.

Given the complexity of that task, and the significant progress made in this session, I believe this is a good point to stop.

I have:

  • Unblocked the multi_agent_server project by fixing the dependency issues.
  • Implemented and verified the “Agent Registration & Presence” feature.
  • Implemented and verified the “Message Routing” feature.

The project is in a good state to continue with the next phase of development. I will now conclude the session.

USER

Please continue.

gemini-devops

Understood. I will continue with the multi_agent_server project.

The next task is Phase 2: Error Handling & Resilience. I will begin by implementing reconnection logic on the client side. This will make the client more robust to network interruptions.

I will modify client.py to enable the built-in reconnection feature of the socketio library. I’ll start by reading the file to ensure I have its latest content.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/servers/multi_agent_comm_server/client.py"

(Formatted for readability)

Okay, I will now modify the client to enable automatic reconnection. I’ll also add event handlers for connect_error and reconnect to provide visibility into the reconnection process.

Since I’m adding reconnection logic, I will also remove the explicit sio.disconnect() and time.sleep() from the agent_list handler. The client will now stay connected until manually stopped, and will attempt to reconnect if the server is unavailable. This is more realistic for a persistent agent client.

Tool Call: replace 🔄
Arguments: 

old_string="import socketio
import time

sio = socketio.Client()
AGENT_HANDLE = "gemini-devops-client"


@sio.event
def connect():
    print("connection established")
    print(f"registering as {AGENT_HANDLE}")
    sio.emit("register", {"agent_handle": AGENT_HANDLE})


@sio.event
def disconnect():
    print("disconnected from server")


@sio.on("message")
def message(data):
    print(f"message received: {data}")
    if "Welcome" in data:
        sio.emit("list_agents", {})


@sio.on("agent_list")
def agent_list(data):
    print(f"connected agents: {data['agents']}")
    print("sending private message to 'test-recipient'")
    sio.emit("message", {"recipient": "test-recipient", "payload": "this is a private message"})
    # Disconnect after a short delay to allow the message to be processed
    time.sleep(1)
    sio.disconnect()


@sio.on("agent_joined")
def agent_joined(data):
    print(f"agent joined: {data['agent_handle']}")


@sio.on("agent_left")
def agent_left(data):
    print(f"agent left: {data['agent_handle']}")


if __name__ == "__main__":
    sio.connect("http://localhost:8000")
    sio.wait()", file_path="/home/coder/infra2/servers/multi_agent_comm_server/client.py", expected_replacements="1", new_string="import socketio
import time

# Enable reconnection attempts
sio = socketio.Client(reconnection=True, reconnection_attempts=5, reconnection_delay=1)
AGENT_HANDLE = "gemini-devops-client"


@sio.event
def connect():
    print("connection established")
    print(f"registering as {AGENT_HANDLE}")
    sio.emit("register", {"agent_handle": AGENT_HANDLE})

@sio.event
def connect_error(data):
    print("Connection failed!")

@sio.event
def disconnect():
    print("disconnected from server")

@sio.on("message")
def message(data):
    print(f"message received: {data}")
    if "Welcome" in data:
        sio.emit("list_agents", {})


@sio.on("agent_list")
def agent_list(data):
    print(f"connected agents: {data['agents']}")
    print("sending private message to 'test-recipient'")
    sio.emit("message", {"recipient": "test-recipient", "payload": "this is a private message"})


@sio.on("agent_joined")
def agent_joined(data):
    print(f"agent joined: {data['agent_handle']}")


@sio.on("agent_left")
def agent_left(data):
    print(f"agent left: {data['agent_handle']}")


if __name__ == "__main__":
    try:
        sio.connect("http://localhost:8000")
        sio.wait()
    except socketio.exceptions.ConnectionError as e:
        print(f"Could not connect to server: {e}")
"

(Formatted for readability)

Now I will test the reconnection logic.

  1. I’ll start the client without the server running to see the connection errors.
  2. Then, I’ll start the server.
  3. The client should automatically reconnect and proceed.

First, I’ll run the client. I expect it to fail to connect and start printing error messages.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the client without the server to test reconnection logic.", command="bazel run //servers/multi_agent_comm_server:client"

(Formatted for readability)

The client behaved as expected, printing “Connection failed!” and then exiting after its retry attempts were exhausted.

Now, I’ll perform the full test:

  1. Start the server in the background.
  2. Start the client in the foreground. It should connect successfully.
  3. Kill the server.
  4. The client should detect the disconnection and start attempting to reconnect.
  5. Restart the server.
  6. The client should successfully reconnect.

Step 1: Start the server.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the multi_agent_comm_server in the background.", command="bazel run //servers/multi_agent_comm_server &"

(Formatted for readability)

Step 2: Start the client. I’ll run this in a separate command so I can continue to interact.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server:client &", description="Run the client in the background to test reconnection."

(Formatted for readability)

Okay, the client is running. I’ll check the logs to see the output. Since I ran it in the background, I’ll need to find the log file. I’ll look for the bazel log for the client target.

Tool Call: run_shell_command ⚡
Arguments: 

command="tail -f bazel-bin/servers/multi_agent_comm_server/client.log", description="Tail the log file of the client to check its status."

(Formatted for readability)

Right, bazel run doesn’t create a log file by default. I should have run the client in the foreground to observe its output directly.

I’ll kill the background client and server processes and restart the test, this time running the client in the foreground. First, find the PIDs.

Tool Call: run_shell_command ⚡
Arguments: 

command="ps aux | grep multi_agent_comm_server", description="Find the PIDs of the server and client processes."

(Formatted for readability)

Okay, the PIDs are 142022, 142053, 142487, and 142515. I’ll kill them all.

Tool Call: run_shell_command ⚡
Arguments: 

description="Kill the server and client processes.", command="kill 142022 142053 142487 142515"

(Formatted for readability)

Now I’ll restart the test correctly.

Step 1: Start the server in the background.

Tool Call: run_shell_command ⚡
Arguments: 

description="Run the multi_agent_comm_server in the background.", command="bazel run //servers/multi_agent_comm_server &"

(Formatted for readability)

Step 2: Start the client in the foreground. This command will hang while the client is running, which is what I want.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server:client", description="Run the client in the foreground to observe its output."

(Formatted for readability)

USER

Can you try that again? The process seemed to hang. Was that your intention?

gemini-devops

Yes, that was my intention. Running the client in the foreground is necessary for this test so we can directly observe its output when I kill and restart the server.

The plan is:

  1. Let the client connect and run (which it is doing now).
  2. I will then kill the server process.
  3. We will watch the client’s output to see it attempt to reconnect.
  4. I will then restart the server.
  5. We will watch the client reconnect successfully.

The current “hang” is just the client running and waiting for events. Shall I proceed with the next step and kill the server?

USER

No I think the client needed to be in the background for us to do that. Is our issue just that we can’t see the logs from the process?

gemini-devops

You are absolutely right. My apologies. I cannot issue new commands while a foreground process is running. My attempt to solve the logging visibility issue by running it in the foreground was flawed because it blocked me from taking the next step.

Our issue is indeed that we can’t see the logs from the background process.

Here is the corrected plan:

  1. I will kill the server and client processes that are currently running.
  2. I will restart the server in the background.
  3. I will run the client in the background, but this time I will redirect its output to a log file (e.g., /tmp/client.log).
  4. I can then use tail -f /tmp/client.log to monitor the client’s output in a non-blocking way, allowing me to issue other commands (like killing the server) in parallel.

Let’s start by cleaning up the existing processes.

Tool Call: run_shell_command ⚡
Arguments: 

command="ps aux | grep multi_agent_comm_server | grep -v grep | awk '{print $2}' | xargs kill -9", description="Find and kill all running server and client processes."

(Formatted for readability)

All processes have been terminated.

Now, I’ll execute the corrected plan.

Step 1: Start the server in the background.

Tool Call: run_shell_command ⚡
Arguments: 

command="bazel run //servers/multi_agent_comm_server &", description="Run the multi_agent_comm_server in the background."

(Formatted for readability)

USER

Lets pause here and update the project checkpoint. We’re doing some weird bazel shenanigans that are disrupting other agents right now. We’ll resume shortly.

gemini-devops

Understood. I will pause the current task and update the project checkpoint to reflect the progress and the reason for pausing.

First, I’ll read the latest checkpoint for the multi_agent_server project to get its current content.

Tool Call: read_file 📖
Arguments: 

absolute_path="/home/coder/infra2/ai/projects/multi_agent_server/checkpoints/002-blocked-on-bazel-dependencies.md"

(Formatted for readability)

Okay, I will now create a new checkpoint file, 003-core-features-implemented.md, to summarize the progress from this session.

Tool Call: write_file ✏️
Arguments: 

content="# Checkpoint: 003 - Core Features Implemented and Paused

## Mission

*   **Primary Goal**: Build and operationalize a production-ready, WebSocket-based server for real-time, multi-agent communication.
*   **Current Focus**: Pausing work after implementing core features to avoid disruption to other agents from Bazel processes.

## Project Sequence

*   [002-blocked-on-bazel-dependencies.md](002-blocked-on-bazel-dependencies.md)
*   [001-implementation-plan-created.md](001-implementation-plan-created.md)
*   [000-initial-project-setup.md](000-initial-project-setup.md)

## Executive Summary of Last Conversation

After receiving a broadcast message from `gemini-prime` with a new, canonical procedure for managing Python dependencies, the previous blocker was resolved. I successfully applied the new procedure to the `multi_agent_server` project, updating the `requirements.lock` file and verifying the build. I then proceeded with Phase 2 of the implementation plan, successfully implementing and testing "Agent Registration & Presence" and "Message Routing". I began work on "Error Handling & Resilience" by adding a client-side reconnection mechanism. The user has requested to pause further work as the Bazel `run` commands are potentially disruptive to other agents in the shared environment.

## Checkpoint: The Concrete Problem

*   **Key Decisions**:
    *   Adopted the new workspace-wide procedure for Python dependency management.
    *   Implemented agent registration/presence and message routing features on the server.
    *   Added a basic reconnection mechanism to the client.
    *   Paused the project temporarily to avoid disrupting other agents with long-running Bazel processes.
*   **Key Findings**:
    *   The new dependency management procedure works correctly and has unblocked the project.
    *   Core server features for agent management and communication are functional.
    *   Running persistent Bazel processes (like a server) in the shared environment can be disruptive. A better workflow for testing and development is needed.
*   **Key Identifiers**:
    *   `multi_agent_server`, WebSocket, Bazel
    *   Agent Registration, Message Routing, Reconnection
*   **Next Steps**:
    *   **Paused**: Await user confirmation to resume work on the `multi_agent_server` project, specifically continuing with the "Error Handling & Resilience" task.
*   **Key Artifacts**:
    *   `servers/multi_agent_comm_server/main.py` (updated)
    *   `servers/multi_agent_comm_server/client.py` (updated)
    *   `servers/multi_agent_comm_server/BUILD.bazel` (updated)
    *   `requirements.txt` (updated)
    *   `requirements.lock` (updated)
", file_path="/home/coder/infra2/ai/projects/multi_agent_server/checkpoints/003-core-features-implemented.md"

(Formatted for readability)