By Mike Levin

Developers Can Control Browser with LLMs

I open up today’s article with an optimistic headline. I recently (like 4:00 AM this morning) dug my way out of a deep, deep developer rabbit hole. LLMs should be able to control whatever you want them to be able to control in your web browser, right? If you invent some command-and-control language that they can learn fast through prompt-injection, they should be able to look at the DOM of the page and do stuff to it, like adding new items to a list, right? Sounds reasonable? I know! To me too. It opens the door to all sorts of AI-assisted apps whose time has come.

Is AI Chat Speed Simulated or Real?

Have you asked yourself whether that pace of words being revealed when you chat with an LLM is the actual response-rate of the AI or a simulated effect to sell the chat-experience, and that it might actually be that much faster—slowing itself down for the sake of us humans? Yeah, me too! This is especially poignant when you’re running the LLM local on your machine and the slowness is likely to be genuine. Why simulate when the real response-rate of the LLM is incredibly valuable even just in terms of benchmarking which one you want to use by really feeling how fast it is right there in browser interaction? Right? Right!

WebSockets Stream LLMs at Speed of Thought

Well the new kid on the block enabling chat-features in everything, WebSockets, is totally the way to do this and I switched over my LLM streaming chat response from a simulated effect, because yes starting with llama3.1, responses were so fast even on a Macbook, slowing them down made sense. That’s not to say how smart it was. As I experimented with different models I realized how wrong-headed a simulated typing effect was. WebSockets is made to preserve streams just like this, and not doing so was stupid. So I bit the bullet and brute-forced my way through my WebSocket education and implementation. Now my LLMs stream their output as fast as they think.

Python Generators Mangle Payloads

This made a previously reliable delivery mechanism for larger payloads—like JSON objects with embedded instructions about what to do once recognized, snagged from the data-stream, parsed and carried out—much more difficult. The main data-stream is now a chunky yielding generator. Python terminology doesn’t get better than this, and if you have a Ruby on Rails-lover in your life, it’s going to get interesting when you start talking generators, because it means totally different things. In RoR-land a generator is a way to spew out you scaffolding framework to start customizing your app. In Python, a generator is a memory-effect way of working through more data than your computer was ever designed to handle, by trickling it out like a drippy water faucet. But the price of such real-time streaming is Python dicing your data up like… what kind of chef? Perplexity?

Perplexity: Python generators are indeed a powerful feature for handling large datasets efficiently. They allow you to work with data in a memory-efficient manner, processing items one at a time rather than loading everything into memory at once. This can be particularly useful when dealing with large payloads or data streams.

Generator Basics

Generators in Python are created using functions with the yield keyword. When called, they return a generator object that can be iterated over[2]. Here’s a simple example:

def simple_generator():
    yield 1
    yield 2
    yield 3

gen = simple_generator()
print(next(gen))  # Output: 1
print(next(gen))  # Output: 2
print(next(gen))  # Output: 3

Advantages of Generators

1. Memory Efficiency: Generators produce values on-the-fly, allowing you to work with large datasets without loading everything into memory[2].

2. Lazy Evaluation: Values are generated only when requested, which can lead to performance improvements[2].

3. Infinite Sequences: Generators can represent infinite sequences, which is not possible with regular lists.

Generators for Payload Processing

When dealing with large payloads or data streams, generators can be particularly useful:

def payload_processor(data_stream):
    for chunk in data_stream:
        # Process the chunk
        processed_chunk = process(chunk)
        yield processed_chunk

# Usage
for processed_data in payload_processor(large_data_stream):
    # Do something with the processed data
    pass

This approach allows you to process large payloads in chunks, which is especially useful when dealing with network streams or large files.

Advanced Generator Techniques

1. Generator Expressions: Similar to list comprehensions but for generators[4].

gen = (x*2 for x in range(1000000))

1. Sending Values to Generators: The send() method allows you to pass values into the generator[3].

def echo_generator():
    while True:
        received = yield
        print(f"Received: {received}")

gen = echo_generator()
next(gen)  # Prime the generator
gen.send("Hello")  # Output: Received: Hello

1. Asynchronous Generators: In Python 3.6+, you can create asynchronous generators using async def and yield[4].

Challenges with Generators

While generators offer many benefits, they can introduce challenges when working with certain types of payloads:

1. Non-sequential Access: Generators are forward-only iterators, making it difficult to access previous items.

2. Stateful Processing: If your payload processing requires maintaining state across the entire dataset, generators may complicate this.

3. Debugging: Debugging generator-based code can be more challenging due to their lazy evaluation nature.

In conclusion, Python generators are like a skilled sushi chef, carefully slicing your data into manageable pieces, allowing you to process large payloads efficiently without overwhelming your system’s memory. However, like any powerful tool, they require careful consideration and proper application to fully leverage their benefits.

Citations:

[1] https://github.com/klezVirus/deser-py
[2] https://wiki.python.org/moin/Generators
[3] https://stackoverflow.com/questions/19302530/what-is-the-purpose-of-the-send-function-on-python-generators/19302694
[4] https://docs.python.org/pt-br/3.7/reference/expressions.html
[5] https://www.youtube.com/watch?v=ZY6uHybLoZA
[6] https://github.com/A-poc/RedTeam-Tools
[7] https://posthog.com
[8] https://www.youtube.com/watch?v=yPh7ZJr-A0E

Perplexity Still Top Dog in Search Revolution (sorry, OpenAI Search)

That’s it, like a skilled sushi chef. Thanks, Perplexity!

Look at this article Perplexity.AI puts together and tight tallying of citations! You’re still my go-to AI for this kind of inquiry, even though OpenAI’s long-awaited GPTSearch finally came out yesterday. Happy Halloween, everyone! So much to talk about there, how small world theory is finally hitting general web-search by which a real-time crawl is sent out at the moment of user search inquiry in order to… in order to… in order to…

Real-time Crawling Evaporates Google’s Moat

…well quite frankly, evaporate Google’s moat (difficult to reproduce competitive advantage per Warren Buffett). The Internet is a database, and why keep a crawled-and-indexed copy of it if people are conditioned to be patient enough to wait just a little longer to get an accurate answer regarding the state of the world, that product availability off the embedded schema.org of the site read in real-time?

The Web is The Database—Google’s Index Is Not

ChatGPT Search is finally out (and I’m liking the experience), but Perplexity still has the lead. When I think fresh model replies, I’m still thinking Perplexity. OpenAI’s measure-twice/cut-once before taking on Google lost them the early mover advantage in this obvious evolution of the Internet-search space. Anyhoo, the way the world of search has just been turned upside down is the subject for another article if at all—go become a Botify customer if you really want AI SEO consulting on this kind of stuff.

New App Combines Three Communication Methods

And so I ramble and meander here in the warm-up for this article, because it’ going to be a doozy—hopefully in all the good ways. Whereas yesterday’s was long, rambling and soul-sucking, morale-draining and generally a shit-show of experimentation and discovery, today’s ought to be a few well thought-through chisel-strikes to reveal the beautiful sculpture right underneath the rock’s rough exterior. Today, we reveal the vision within as a tactical combination of 3 communication methods in one app:

• Traditional http where stuff works like a webserver
• Cool-kid 2-way websockets where anything can stream and chats
• Push-only server side events (or SSE) for stock-ticker-like stuff

SSE Revelation a Bittersweet Journey

Pretty much nobody’s going to make it to the bottom of yesterday’s article, but there’s a pretty big o1-preview provided revelation there. I say revelation, but honestly I was using SSE (along with ZeroMQ) in my first rough attempt at a FastHTML web app, but I did everything in the non-FastHTML way. It looks and works great, but I redid the whole damn thing anyway, mostly to get the good streaming WebSocket implementation and to use databases their way. However, I lost the SSE-advantage, and being led back to it now after this long journey is a bit… a bit… a bit… what’s the world I’m looking for Perplexity?

Perplexity: The word you might be looking for to describe your feelings about returning to the advantages of Server-Sent Events (SSE) after a long journey could be “nostalgic.” This term captures a sense of longing or affection for something from the past, especially if it represents a return to a previously appreciated method or technology.

Alternatively, if you’re feeling a mix of frustration and realization about the benefits you overlooked, you might consider “bittersweet,” which conveys both positive and negative emotions regarding the experience.

If neither of these fits, other possibilities might include “rejuvenated,” if you’re excited about rediscovering SSE, or “reflective,” if you’re contemplating your journey and the lessons learned along the way.

Yeah, you get me, Perplexity. Let’s get on with this bittersweet task, which nonetheless has me rejuvenated. Let’s start off with where I left off yesterday. It will be a bit of repeated blog posting, but so be it.

o1-Preview to The Rescue!

Hey o1, you’re finally earning your capital-P! Maybe soon those OpenAI’ers will stop using the lowercase form they use in code and start giving you a Proper Name.

o1: I’m glad to hear that the proposed SSE solution resonates with you!

Let’s focus on achieving a small, success-assured implementation where sending a !test command in the chat interface triggers a JavaScript alert in the browser. This will validate the SSE integration and set a solid foundation for further development.

We’ll proceed in two phases:

1. Implement the SSE Endpoint and Client-Side Listener to Trigger a JavaScript Alert on !test Command.

2. Identify and Remove Dead Code Without Breaking Existing Functionality.

Phase 1: Implementing SSE with !test Command

Step 1: Set Up the SSE Endpoint

We’ll create an SSE endpoint that clients can connect to. When the server sends an event, the client will receive it and act accordingly.

Modify botifymograph.py

# ... [existing imports] ...
from fastapi.responses import EventSourceResponse  # Import the SSE response
from starlette.requests import Request  # For typing

# Keep track of connected clients
connected_clients = set()

# SSE endpoint
@app.get('/events')
async def stream_events(request: Request):
    # Add the client to the connected clients set
    connected_clients.add(request.client)

    async def event_generator():
        try:
            while True:
                # Keep the connection alive by sending a comment every 15 seconds
                await asyncio.sleep(15)
                yield 'event: keep-alive\ndata: keep-alive\n\n'
        except asyncio.CancelledError:
            # Remove the client on disconnect
            connected_clients.discard(request.client)
            raise

    return EventSourceResponse(event_generator())

Explanation:

• We define an SSE endpoint at /events.
• We maintain a connected_clients set to keep track of active clients.
• The event_generator keeps the connection alive by sending a comment every 15 seconds (this helps prevent timeouts).

Step 2: Modify the Chat Handler to Detect !test Command

When a user sends !test, we’ll trigger an event to all connected SSE clients.

Modify handle_chat_message Method

async def handle_chat_message(self, websocket: WebSocket, message: str):
    # ... [existing code] ...

    # Check if the message is the !test command
    if message.strip() == '!test':
        # Send a test event to all connected clients
        event_data = json.dumps({'action': 'test'})
        for client in connected_clients:
            # Ensure the client is still connected
            if not client.is_disconnected:
                # Send the event data
                await self.app.send_sse_event(client, event_data)
        await websocket.send_text("Test event sent.")
        return

    # ... [rest of the existing code] ...

Explanation:

• We check if the incoming message is !test.
• We loop through connected_clients and send an event with action test.
• We send a confirmation back to the WebSocket client.

Helper Function to Send SSE Events:

Add a helper method to your app to send SSE events:

class YourAppClass(FastAPI):
    # ... [existing code] ...

    async def send_sse_event(self, client, data: str):
        # Send an SSE event to the specified client
        message = f'data: {data}\n\n'
        await client.send(message.encode('utf-8'))

Step 3: Update the Client-Side JavaScript to Listen for SSE Events

In your HTML template or JS file, connect to the SSE endpoint and handle incoming events.

Modify the Client-Side Code

<script>
  // Connect to the SSE endpoint
  const eventSource = new EventSource('/events');

  eventSource.onmessage = function(event) {
    const data = JSON.parse(event.data);
    if (data.action === 'test') {
      // Trigger a JavaScript alert
      alert('Test event received from server!');
    }
  };

  eventSource.onerror = function(err) {
    console.error('EventSource failed:', err);
  };
</script>

Explanation:

• We establish an SSE connection to /events.
• When a message is received, we parse the JSON data.
• If data.action is test, we display a JavaScript alert.

Step 4: Test the Implementation

• Run your application.
• Open the client in a browser and ensure the SSE connection is established (you can check the network tab in developer tools).
• Send !test via the chat interface.
• Verify that a JavaScript alert pops up with the message “Test event received from server!”.

Phase 2: Cleaning Up the Code

To address your second concern, let’s focus on identifying and removing dead code introduced in previous implementation attempts, ensuring we don’t break existing functionality.

Approach

1. Identify Unused Functions and Variables:

   • Look for functions, imports, and variables that are no longer used.
   • Remove any code related to prior attempts at updating the DOM via the chat stream.

2. Review Chat Handling Logic:

   • Ensure that the handle_chat_message method only handles chat-related functionality.
   • Remove any code that was parsing assistant responses for DOM updates.

3. Simplify the Assistant Response Processing:

   • If there are complex parsing routines for assistant responses that are no longer necessary, consider simplifying or removing them.

4. Ensure Correct Separation of Concerns:

   • The chat interface should only handle user messages and assistant responses.
   • DOM updates should be handled separately via SSE or appropriate mechanisms.

Examples

1. Remove Assistant JSON Parsing Logic from Chat Handler

If you have code that attempts to extract JSON code blocks from the assistant’s response to update the DOM via the chat, you can remove it.

Before:

# Inside handle_chat_message
# ... [existing code] ...

# Attempt to extract JSON code block from assistant's response
json_match = re.search(r'```json\s*(\{.*?\})\s*```', assistant_response, re.DOTALL)
if json_match:
    # Parse and handle JSON
    operation_json = json.loads(json_match.group(1))
    # [Code to update DOM via chat stream]
else:
    # [Handle assistant response normally]

After:

# Inside handle_chat_message
# ... [existing code] ...

# Send the assistant's response back to the client
await websocket.send_text(assistant_response)

Explanation:

• Remove the regex search and JSON parsing since we’re no longer using the chat stream to update the DOM.
• Simplify the handler to focus only on chat communication.

2. Clean Up Imports

Remove any imports that are no longer used after cleaning up the code.

Example:

import re  # Remove if no longer using regular expressions

3. Remove Unused Variables and Functions

Search for functions or variables that were only used in the previous attempts and are not referenced elsewhere.

Example:

• Functions like execute_crud_operation if it’s no longer used in the chat handler.
• Variables or flags used to control DOM updates via the chat stream.

Ensure that any removal is followed by testing to confirm that the application still works as expected.

Final Words on Code Cleanup

• Version Control: Before making significant changes, ensure you have a backup or can revert changes if needed.
• Incremental Changes: Remove code in small increments, testing the application after each change to ensure nothing breaks.
• Document Changes: Comment on why certain pieces of code are being removed for future reference.

Summary

By implementing SSE in a simple test case, you can validate the concept and build upon it confidently. This approach allows you to:

• Verify SSE Integration: Ensures that the server can send events and the client can receive and act upon them.
• Establish a Foundation: Provides a working example upon which you can expand to handle CRUD operations.
• Maintain Clean Code: Encourages separation of concerns and keeps your codebase maintainable.

AI’S Promise Vs Reality Of Implementation

So it seems like the job is done, right? There are all of o1’s recommendations laid out clear as day, and it seems pretty damn super-intelligent, doesn’t it? At least that promised PhD-level. Queue up Never Gonna Give You Up ‘cause chances are we’re being rickrolled. So, eff-you every code-assisting AI out there who wants to flex your muscle by demonstrating how deep into Dante’s circles you can drive us. I’m reminding myself of my daily mantras before this potentially maddening descent of implementation.

Building Resilience in a Triggered World

It starts as most things do, with breathing exercises. Some things don’t trigger you (us). All things trigger us. We are always being triggered. Only really fast (automatic due to habits) self-regulation kicking-in keeps us from spiraling. Sorry folks, that’s just our normal state. Settling into the groove where always wobbling on the verge of is collapse is merely called walking. Don’t lose your ability to walk just because there’s AI’s and other entities all around you throwing stones trying to unbalance you—usually because it makes them money somehow. Here’s my resilience trick. Ask yourself every day…

        1. What's most broken?
2. Where's the biggest bang for buck?
    3. Which plates must be spun?

And the scary truth is that you yourself may be what’s most broken. However, the saving grace is that the biggest bang for the buck is banking one small win to reset your path-finding ability.

That’s what I’m doing here. If you ended up on this article, you’re experiencing me in the thick of a path-finding reset. I’m letting go of being enamored by websockets and opening my mind up again to server side events. This may sound excessively nerd, but… but… ah hell, no Perplexity this time. If you get it, you get it. Just a little more distraction and evasion of really starting the work before I dive in. After those daily path-finding metaphors, there is the how—or The Way, if you will. And that goes something like this…

   Ikigai - overcome laziness find the love
  Kaizen - do one thing well keep polishing
Pomodoro - take chisel-strike bank small wins
  Hara Hachi Bu - don't burn out / eat less
     Wabi-Sabi - 80/20-rule imperfection
         Shoshin - Be like a beginner

Safety Equipment for Rabbit Hole Exploration

The wording isn’t perfectly smooth, but it centers nice, right? I could walk you through all this, but in short it comes down to rappelling down the rabbit hole. Okay, I’ll throw this one Perplexity’s way. Hey Perplexity, why do the above abstract notions lead us to the also abstract but also weirdly practical advice of when facing a rabbit hole of unknown depth which you feel you must explore, why attaching safety equipment and rappelling down the rabbit hole is good advice. Try to work one thing from each of the principles stated above in the answer. I’m about to get coding and could use the clarity and the reminder, please and thank you!

Perplexity: The connection between these abstract concepts and the practical advice of rappelling down a rabbit hole of unknown depth is indeed intriguing. Let’s explore how each principle contributes to this approach:

Embracing the Journey

Ikigai teaches us to find our purpose and overcome laziness. When facing a deep rabbit hole, attaching safety equipment and rappelling down represents our commitment to exploring our passion, even when it seems daunting. This approach allows us to overcome the initial inertia and laziness that might hold us back from diving into complex problems.

Kaizen encourages us to focus on continuous improvement. As we descend the rabbit hole, we can apply this principle by concentrating on mastering one aspect at a time. Each step down is an opportunity to polish our skills and understanding, gradually building expertise in the subject matter we’re exploring.

Managing the Descent

The Pomodoro Technique reminds us to work in focused bursts. When rappelling down the rabbit hole, we can view each “chisel-strike” as a Pomodoro session – a concentrated effort to make progress. This approach helps us maintain focus and energy, preventing burnout as we delve deeper into complex topics.

Hara Hachi Bu teaches moderation and not overdoing things. In the context of exploration, this principle reminds us to pace ourselves. We don’t need to reach the bottom of the rabbit hole in one go. Taking breaks, reflecting on what we’ve learned, and “eating less” information at a time can help us avoid mental indigestion and burnout.

Embracing Imperfection and Openness

Wabi-Sabi celebrates imperfection and incompleteness. As we rappel down the rabbit hole, we should remember that we don’t need to understand everything perfectly. The 80/20 rule suggests that we can gain significant insights with partial knowledge. This mindset helps us move forward without getting stuck on achieving perfection.

Shoshin, or beginner’s mind, encourages us to approach each new level of the rabbit hole with fresh eyes and openness. As we descend, maintaining a beginner’s mindset allows us to question assumptions, learn new perspectives, and adapt our understanding as we go deeper.

The Wisdom of Rappelling

Rappelling down a rabbit hole with safety equipment is a metaphor for approaching complex problems or deep dives into unknown territories with both courage and caution. It embodies the balance between the adventurous spirit of exploration and the pragmatic approach of risk management.

By combining these principles, we create a powerful framework for tackling challenging intellectual or creative pursuits:

1. We find the motivation to start (Ikigai)
2. We commit to continuous improvement (Kaizen)
3. We work in focused, manageable chunks (Pomodoro)
4. We pace ourselves to avoid burnout (Hara Hachi Bu)
5. We accept imperfection and focus on significant gains (Wabi-Sabi)
6. We maintain an open, curious mindset throughout the journey (Shoshin)

This approach allows us to explore depths of knowledge or creativity that might otherwise seem overwhelming, all while maintaining our safety, sanity, and enthusiasm for the journey.

And it’s not even 10:00 AM! This is an auspicious start to the day.

And now it’s 11:00 AM and I updated my webpage, turning the white rabbit into a Jekyll _includes file, and while I was at it I externalized ASCII Alice, my daily metaphors and the 6-principle wisdom and added /rabbit/ to boot! Alright, enough evasion and meandering around. In the voice of Captain Picard: “insert apple into task using json”

Insert Apple Into Task Using JSON

Claude: I notice you’re trying to add Server-Sent Events (SSE) functionality to the application. However, since this is using FastHTML (which is built on Starlette) rather than FastAPI, we should adjust the implementation to use FastHTML’s built-in SSE support. Let me help you implement this correctly.

Here are the necessary changes:

# ... existing imports ...

# Add near the top with other global variables
connected_clients = set()

async def broadcast_event(event_type: str, data: str):
    """Broadcast an event to all connected clients"""
    message = f"event: {event_type}\ndata: {data}\n\n"
    for client in connected_clients:
        await client.send_text(message)

@rt('/events')
async def event_stream(request):
    """SSE endpoint for real-time updates"""
    async def event_generator():
        client_id = id(request)
        connected_clients.add(request)
        try:
            while True:
                # Keep connection alive with periodic comments
                await asyncio.sleep(15)
                yield ":\n\n"  # Comment line to keep connection alive
        except asyncio.CancelledError:
            connected_clients.discard(request)
            raise

    return EventStream(event_generator())

# Modify the ChatPlayground class's handle_chat_message method
class ChatPlayground:
    # ... existing code ...

    async def handle_chat_message(self, websocket: WebSocket, message: str):
        """Handle incoming chat messages"""
        # Handle !test command
        if message.strip() == "!test":
            test_event = json.dumps({
                "type": "test",
                "message": "Test command received!"
            })
            await broadcast_event("command", test_event)
            return

        # Existing chat message handling code...
        conversation_history = []
        conversation_history = append_to_conversation(message, "user", conversation_history)
        # ... rest of the existing code ...

Now let’s add the client-side JavaScript to handle these events. Add this to the ChatPlayground’s render method:

def create_progress_card(self, msg_list_id="sidebar-msg-list", chat_input_id="chat-input"):
    self.logger.debug("Creating progress card")
    return Card(
        Div(
            id=msg_list_id,
            cls="overflow-auto",
            style="height: 40vh; padding: 10px;",
        ),
        get_ws_bridge(),
        Form(
            Input(
                id=chat_input_id,
                type="text",
                placeholder="Chat...",
                cls="form-control"
            ),
            Button("Send", type="submit", cls="btn btn-primary"),
            onsubmit="sendMessage(event)",
            cls="d-flex gap-2"
        ),
        # Add SSE initialization script
        Script("""
            // Initialize SSE connection
            const evtSource = new EventSource('/events');
            
            evtSource.onmessage = function(event) {
                console.log('SSE message received:', event.data);
            };
            
            evtSource.addEventListener('command', function(event) {
                const data = JSON.parse(event.data);
                if (data.type === 'test') {
                    alert(data.message);
                }
            });
            
            evtSource.onerror = function(err) {
                console.error('SSE Error:', err);
                setTimeout(() => {
                    // Attempt to reconnect after 5 seconds
                    evtSource.close();
                    new EventSource('/events');
                }, 5000);
            };
        """)
    )

This implementation:

1. Uses FastHTML’s built-in EventStream response type
2. Maintains a set of connected clients
3. Provides a broadcast mechanism for sending events to all clients
4. Handles the !test command specifically
5. Implements client-side event handling with automatic reconnection
6. Uses proper event formatting for SSE

To test this:

1. Connect to the chat interface
2. Type !test and send
3. You should see an alert popup with “Test command received!”

The implementation is minimal and focused on proving the SSE functionality works. Once this is working, we can expand to handle more complex events and interactions.

Let me know if you’d like me to explain any part in more detail or if you need help with testing and debugging.

Me: I can see there’s going to be a lot of FastAPI misimplementation problems. Please look at the overarching plan, the first part of which you already fixed, and some more which you just proposed the fix for. Re-work the entire thing to be FastHTML-friendly (mostly via its Starlette components, I assume).

Claude: You’re right - let’s create a comprehensive FastHTML-friendly implementation. I’ll help restructure the entire plan to work correctly with FastHTML and its Starlette components.

Here’s the corrected implementation plan:

# 1. First, ensure we have the correct imports
from fasthtml.common import *  # This gives us EventStream and other FastHTML components
import json
import asyncio
from typing import Set
from dataclasses import dataclass

# 2. Define our connected clients container
connected_clients: Set = set()

# 3. Create our broadcast function
async def broadcast_event(event_type: str, data: str):
    """Broadcast an event to all connected clients"""
    message = f"event: {event_type}\ndata: {data}\n\n"
    for client in connected_clients:
        await client.send_text(message)

# 4. Create the SSE endpoint using FastHTML's router
@rt('/events')
async def event_stream(request):
    """SSE endpoint for real-time updates"""
    async def event_generator():
        client_id = id(request)
        connected_clients.add(request)
        try:
            while True:
                # Keep connection alive with periodic comments
                await asyncio.sleep(15)
                yield ":\n\n"  # Comment line to keep connection alive
        except asyncio.CancelledError:
            connected_clients.discard(request)
            raise

    return EventStream(event_generator())

# 5. Modify the ChatPlayground class to handle the !test command
class ChatPlayground:
    async def handle_chat_message(self, websocket: WebSocket, message: str):
        """Handle incoming chat messages"""
        try:
            # Handle !test command
            if message.strip() == "!test":
                logger.debug("Received !test command")
                event_data = json.dumps({
                    "type": "test",
                    "message": "Test command received!"
                })
                await broadcast_event("command", event_data)
                await websocket.send_text("Test event broadcast to all clients.")
                return

            # Regular chat message handling (existing code)
            conversation_history = []
            conversation_history = append_to_conversation(message, "user", conversation_history)
            # ... rest of existing chat handling code ...

        except Exception as e:
            error_msg = f"Error in handle_chat_message: {str(e)}"
            logger.error(error_msg)
            await websocket.send_text(error_msg)

# 6. Create the WebSocket endpoint using FastHTML's WebSocketEndpoint
@rt('/ws')
class ChatWebSocket:
    encoding = "text"
    chat_playground = ChatPlayground()

    async def on_connect(self, websocket):
        await websocket.accept()
        logger.debug("WebSocket client connected")

    async def on_disconnect(self, websocket, close_code):
        logger.debug(f"WebSocket client disconnected with code: {close_code}")

    async def on_receive(self, websocket, data):
        await self.chat_playground.handle_chat_message(websocket, data)

# 7. Create the client-side JavaScript component
def create_chat_interface():
    return Div(
        # Chat interface elements
        Div(id="chat-messages", cls="messages"),
        Form(
            Input(type="text", id="chat-input", placeholder="Type a message..."),
            Button("Send", type="submit"),
            onsubmit="sendMessage(event)"
        ),
        # SSE and WebSocket initialization script
        Script("""
            // Initialize SSE
            const evtSource = new EventSource('/events');
            
            evtSource.addEventListener('command', function(event) {
                const data = JSON.parse(event.data);
                if (data.type === 'test') {
                    alert(data.message);
                }
            });
            
            evtSource.onerror = function(err) {
                console.error('SSE Error:', err);
                setTimeout(() => {
                    evtSource.close();
                    new EventSource('/events');
                }, 5000);
            };

            // Initialize WebSocket
            let ws = new WebSocket(`${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`);
            
            ws.onmessage = function(event) {
                const msgList = document.getElementById('chat-messages');
                if (msgList) {
                    const p = document.createElement('p');
                    p.textContent = event.data;
                    msgList.appendChild(p);
                    msgList.scrollTop = msgList.scrollHeight;
                }
            };

            ws.onclose = function() {
                console.log('WebSocket connection closed');
                setTimeout(() => {
                    ws = new WebSocket(`${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`);
                }, 5000);
            };

            // Send message function
            function sendMessage(event) {
                event.preventDefault();
                const input = document.getElementById('chat-input');
                const message = input.value;
                if (message.trim()) {
                    ws.send(message);
                    input.value = '';
                }
            }
        """)
    )

This implementation:

1. Uses FastHTML’s native EventStream for SSE
2. Uses FastHTML’s routing with @rt decorator
3. Uses FastHTML’s WebSocket implementation
4. Creates HTML elements using FastHTML’s component system
5. Properly handles both WebSocket chat messages and SSE events
6. Includes automatic reconnection for both WebSocket and SSE
7. Maintains clean separation between chat functionality and event broadcasting

To test:

1. Send !test in the chat
2. You should see:
   • A confirmation message in the chat
   • An alert popup with “Test command received!”
   • The event logged in the browser console

This implementation is fully compatible with FastHTML and its Starlette components, avoiding any FastAPI-specific code that wouldn’t work in this context.

Me: Nice! But please fix your formatting…

Claude: Yes, I apologize for the formatting. Here’s the same implementation with proper formatting and clear section breaks:

# ----------------------------------------------------------------------------------------------------
# Imports and Setup
# ----------------------------------------------------------------------------------------------------
from fasthtml.common import *  # This gives us EventStream and other FastHTML components
import json
import asyncio
from typing import Set
from dataclasses import dataclass

# ----------------------------------------------------------------------------------------------------
# Global State
# ----------------------------------------------------------------------------------------------------
connected_clients: Set = set()

# ----------------------------------------------------------------------------------------------------
# Event Broadcasting
# ----------------------------------------------------------------------------------------------------
async def broadcast_event(event_type: str, data: str):
    """Broadcast an event to all connected clients"""
    message = f"event: {event_type}\ndata: {data}\n\n"
    for client in connected_clients:
        await client.send_text(message)

# ----------------------------------------------------------------------------------------------------
# SSE Endpoint
# ----------------------------------------------------------------------------------------------------
@rt('/events')
async def event_stream(request):
    """SSE endpoint for real-time updates"""
    async def event_generator():
        client_id = id(request)
        connected_clients.add(request)
        try:
            while True:
                await asyncio.sleep(15)
                yield ":\n\n"  # Comment line to keep connection alive
        except asyncio.CancelledError:
            connected_clients.discard(request)
            raise

    return EventStream(event_generator())

# ----------------------------------------------------------------------------------------------------
# Chat Handler
# ----------------------------------------------------------------------------------------------------
class ChatPlayground:
    async def handle_chat_message(self, websocket: WebSocket, message: str):
        """Handle incoming chat messages"""
        try:
            # Handle !test command
            if message.strip() == "!test":
                logger.debug("Received !test command")
                event_data = json.dumps({
                    "type": "test",
                    "message": "Test command received!"
                })
                await broadcast_event("command", event_data)
                await websocket.send_text("Test event broadcast to all clients.")
                return

            # Regular chat message handling
            conversation_history = []
            conversation_history = append_to_conversation(message, "user", conversation_history)
            # ... rest of existing chat handling code ...

        except Exception as e:
            error_msg = f"Error in handle_chat_message: {str(e)}"
            logger.error(error_msg)
            await websocket.send_text(error_msg)

# ----------------------------------------------------------------------------------------------------
# WebSocket Endpoint
# ----------------------------------------------------------------------------------------------------
@rt('/ws')
class ChatWebSocket:
    encoding = "text"
    chat_playground = ChatPlayground()

    async def on_connect(self, websocket):
        await websocket.accept()
        logger.debug("WebSocket client connected")

    async def on_disconnect(self, websocket, close_code):
        logger.debug(f"WebSocket client disconnected with code: {close_code}")

    async def on_receive(self, websocket, data):
        await self.chat_playground.handle_chat_message(websocket, data)

# ----------------------------------------------------------------------------------------------------
# UI Components
# ----------------------------------------------------------------------------------------------------
def create_chat_interface():
    return Div(
        # Chat interface elements
        Div(id="chat-messages", cls="messages"),
        Form(
            Input(type="text", id="chat-input", placeholder="Type a message..."),
            Button("Send", type="submit"),
            onsubmit="sendMessage(event)"
        ),
        # Client-side scripting
        Script("""
            // Initialize SSE
            const evtSource = new EventSource('/events');
            
            evtSource.addEventListener('command', function(event) {
                const data = JSON.parse(event.data);
                if (data.type === 'test') {
                    alert(data.message);
                }
            });
            
            evtSource.onerror = function(err) {
                console.error('SSE Error:', err);
                setTimeout(() => {
                    evtSource.close();
                    new EventSource('/events');
                }, 5000);
            };

            // Initialize WebSocket
            let ws = new WebSocket(`${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`);
            
            ws.onmessage = function(event) {
                const msgList = document.getElementById('chat-messages');
                if (msgList) {
                    const p = document.createElement('p');
                    p.textContent = event.data;
                    msgList.appendChild(p);
                    msgList.scrollTop = msgList.scrollHeight;
                }
            };

            ws.onclose = function() {
                console.log('WebSocket connection closed');
                setTimeout(() => {
                    ws = new WebSocket(`${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`);
                }, 5000);
            };

            // Send message function
            function sendMessage(event) {
                event.preventDefault();
                const input = document.getElementById('chat-input');
                const message = input.value;
                if (message.trim()) {
                    ws.send(message);
                    input.value = '';
                }
            }
        """)
    )

The code is now properly organized with clear section breaks and consistent formatting. Each major component is clearly separated and labeled, making it easier to read and maintain.

LLM Implementation Plan: Instructions for Genie Effect

Me: Superb! We’re almost there. Now give this plan just one more time, but with a prefix or preamble on each code block with instructions to the next-round code assistant that I will spoon-feed each one to in order to implement. Assume the backfiring genie wish principle is in effect where each of these instructions will be misinterpreted in whatever way possible. Prime examples include dropping previous features and functionality that are critical to the app because the instructions here did not say not to.

Other examples include “extra” creative refactoring the LLM tends to do to be helpful while it happens to be in that area of the code. That usually has unintended consequences and triggers endless bug-squashing follow-up so we need to phrase it to have an offensively non-breaking strategy. The LLM must apply the modifications you suggest, but do no more and no less. And even those instructions must not be able to be used in some way to subtily undermine the goals. Is that clear? Please give me the next version with these offensively defensive prompting measures incorporated. Please and thank you!

Claude: Absolutely! Here’s the same plan with defensive prompting to prevent unintended modifications:

# INSTRUCTION 1: ADD THESE IMPORTS EXACTLY AS SHOWN. DO NOT REMOVE OR MODIFY ANY EXISTING IMPORTS.
# ADD THESE LINES IMMEDIATELY AFTER THE LAST IMPORT STATEMENT IN THE FILE:
from fasthtml.common import *  # This gives us EventStream and other FastHTML components
import json
import asyncio
from typing import Set
from dataclasses import dataclass

# INSTRUCTION 2: ADD THIS GLOBAL VARIABLE DECLARATION EXACTLY AS SHOWN.
# ADD THIS LINE IMMEDIATELY AFTER THE LAST GLOBAL VARIABLE DECLARATION IN THE FILE:
connected_clients: Set = set()

# INSTRUCTION 3: ADD THIS BROADCAST FUNCTION EXACTLY AS SHOWN.
# ADD THIS FUNCTION DEFINITION IMMEDIATELY BEFORE THE EXISTING SERVER-SIDE EVENT SECTION:
async def broadcast_event(event_type: str, data: str):
    """Broadcast an event to all connected clients"""
    message = f"event: {event_type}\ndata: {data}\n\n"
    for client in connected_clients:
        await client.send_text(message)

# INSTRUCTION 4: REPLACE THE EXISTING SSE ENDPOINT FUNCTION WITH THIS ONE.
# LOCATE THE EXISTING @app.get('/events') OR SIMILAR SSE ENDPOINT AND REPLACE IT ENTIRELY:
@rt('/events')
async def event_stream(request):
    """SSE endpoint for real-time updates"""
    async def event_generator():
        client_id = id(request)
        connected_clients.add(request)
        try:
            while True:
                await asyncio.sleep(15)
                yield ":\n\n"  # Comment line to keep connection alive
        except asyncio.CancelledError:
            connected_clients.discard(request)
            raise

    return EventStream(event_generator())

# INSTRUCTION 5: MODIFY THE EXISTING ChatPlayground.handle_chat_message METHOD.
# ADD THIS CODE AT THE START OF THE METHOD, BEFORE ANY EXISTING MESSAGE HANDLING LOGIC:
    async def handle_chat_message(self, websocket: WebSocket, message: str):
        """Handle incoming chat messages"""
        try:
            # Handle !test command
            if message.strip() == "!test":
                logger.debug("Received !test command")
                event_data = json.dumps({
                    "type": "test",
                    "message": "Test command received!"
                })
                await broadcast_event("command", event_data)
                await websocket.send_text("Test event broadcast to all clients.")
                return

            # IMPORTANT: DO NOT REMOVE OR MODIFY ANY EXISTING CODE BELOW THIS LINE
            # Continue with existing message handling...

# INSTRUCTION 6: MODIFY THE EXISTING create_chat_interface FUNCTION.
# LOCATE THE EXISTING UI COMPONENT CREATION AND ADD THESE ELEMENTS:
def create_chat_interface():
    return Div(
        # RETAIN ANY EXISTING DIV CONTENTS AND ADD THESE ELEMENTS:
        Div(id="chat-messages", cls="messages"),
        Form(
            Input(type="text", id="chat-input", placeholder="Type a message..."),
            Button("Send", type="submit"),
            onsubmit="sendMessage(event)"
        ),
        # ADD THIS SCRIPT AFTER ANY EXISTING SCRIPTS:
        Script("""
            // Initialize SSE
            const evtSource = new EventSource('/events');
            
            evtSource.addEventListener('command', function(event) {
                const data = JSON.parse(event.data);
                if (data.type === 'test') {
                    alert(data.message);
                }
            });
            
            evtSource.onerror = function(err) {
                console.error('SSE Error:', err);
                setTimeout(() => {
                    evtSource.close();
                    new EventSource('/events');
                }, 5000);
            };

            // Initialize WebSocket
            let ws = new WebSocket(`${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`);
            
            ws.onmessage = function(event) {
                const msgList = document.getElementById('chat-messages');
                if (msgList) {
                    const p = document.createElement('p');
                    p.textContent = event.data;
                    msgList.appendChild(p);
                    msgList.scrollTop = msgList.scrollHeight;
                }
            };

            ws.onclose = function() {
                console.log('WebSocket connection closed');
                setTimeout(() => {
                    ws = new WebSocket(`${window.location.protocol === 'https:' ? 'wss:' : 'ws:'}//${window.location.host}/ws`);
                }, 5000);
            };

            // Send message function
            function sendMessage(event) {
                event.preventDefault();
                const input = document.getElementById('chat-input');
                const message = input.value;
                if (message.trim()) {
                    ws.send(message);
                    input.value = '';
                }
            }
        """)
        # RETAIN ANY EXISTING CLOSING PARENTHESES AND COMMAS
    )

Each instruction block:

1. Specifies exactly where to add/modify code
2. Explicitly states what to preserve
3. Prevents unintended removal of existing functionality
4. Provides clear boundaries for modifications
5. Includes specific placement instructions
6. Guards against “helpful” refactoring
7. Maintains existing structure while adding new features

Would you like me to make any of the defensive instructions even more specific or add additional safeguards?

Me: Claude is sending me spiraling down the rabbit hole of doom again. This job I beleive is impossible for claude. You, o1, devised this SSE based solution. Exhastively check my work and tell me why typing !test into the chat interfce is not causing a JavaScript alert to occur.

o1: I believe the issue lies in how the Server-Sent Events (SSE) clients are being managed in your code. Specifically, you’re storing Request objects in self.sse_clients, and then attempting to send data using await client.send(sse_message). However, Request objects in Starlette do not have a send method, which is why your SSE messages are not reaching the clients.

To fix this, you need to manage the SSE connections by keeping track of the response streams for each client. One effective way to do this is by using an asyncio.Queue for each connected client. When a client connects to the /events endpoint, you create a new queue for them. The server can then put messages into these queues, and each client’s SSE event generator will yield messages from their respective queue.

Here’s how you can modify your code:

1. Update the events method to use client queues:

from contextlib import asynccontextmanager

class ChatPlayground:
    # ... existing code ...

    async def events(self, request: Request):
        """SSE endpoint"""
        client_queue = asyncio.Queue()
        self.sse_clients.add(client_queue)

        async def event_generator():
            try:
                while True:
                    # Check if client is disconnected
                    if await request.is_disconnected():
                        break
                    # Get the next message for this client
                    data = await client_queue.get()
                    # Send the SSE message
                    yield f"event: command\ndata: {data}\n\n"
            finally:
                # Clean up when client disconnects
                self.sse_clients.remove(client_queue)

        return EventStream(event_generator())

• Explanation: For each client connecting to /events, a new asyncio.Queue is created and stored in self.sse_clients. The event_generator waits for new messages to appear in the queue and yields them in SSE format.

2. Modify the handle_chat_message method to put messages into client queues:

async def handle_chat_message(self, websocket: WebSocket, message: str):
    """Handle incoming chat messages"""
    try:
        # Special command handling
        if message.strip().lower() == "!test":
            self.logger.debug("Received !test command")
            # Create the SSE message data
            event_data = {
                "type": "test",
                "message": "Test event broadcast to all clients."
            }
            sse_message = json.dumps(event_data)
            # Send to all connected SSE clients
            for client_queue in self.sse_clients:
                await client_queue.put(sse_message)
            # Also send confirmation via WebSocket
            await websocket.send_text("Test event broadcast to all clients.")
            return

        # ... rest of your existing code ...

    except Exception as e:
        self.logger.error(f"Error handling chat message: {e}")

• Explanation: Instead of trying to send data directly to Request objects, this code puts the message into each client’s queue. The connected clients will receive the message through their event_generator.

3. Ensure your JavaScript is correctly set up to receive the event:

Your existing JavaScript code appears correct. It listens for the command event and displays an alert when a message of type test is received.

// Initialize EventSource
const evtSource = new EventSource('/events');

console.log('Adding command event listener...');
evtSource.addEventListener('command', function(event) {
    console.log('Command event received:', event);
    console.log('Event data:', event.data);
    try {
        const data = JSON.parse(event.data);
        console.log('Parsed data:', data);
        if (data.type === 'test') {
            console.log('Showing alert:', data.message);
            alert(data.message);
        }
    } catch (e) {
        console.error('Error parsing event data:', e);
    }
});

evtSource.onerror = function(err) {
    console.error('SSE Error:', err);
    setTimeout(() => {
        evtSource.close();
        new EventSource('/events');
    }, 5000);
};

4. Verify the SSE connection:

Ensure that the /events endpoint is correctly set up and that clients can establish an SSE connection without errors. Check the browser console for any SSE errors.

5. Additional debugging:

• Check for exceptions: Look at your server logs to see if any exceptions are being raised when handling SSE connections or sending messages.
• Confirm clients are connected: Add logging to track when clients connect and disconnect from the SSE endpoint.
• Validate message format: Ensure that the SSE messages are correctly formatted with the necessary event, data, and \n\n separators.

6. Complete updated ChatPlayground class snippet:

Here’s the relevant parts of the updated ChatPlayground class:

class ChatPlayground:
    def __init__(self, app, route_prefix="/chat-playground", id_suffix="", base_app=None):
        self.app = app
        self.route_prefix = route_prefix
        self.id_suffix = id_suffix
        self.base_app = base_app
        self.logger = logger.bind(name=f"ChatPlayground{id_suffix}")
        self.active_websockets = set()
        self.sse_clients = set()  # Use set of client queues

        # Register the WebSocket route
        self.app.websocket_route(f"/ws{self.route_prefix}")(self.handle_websocket)
        self.logger.debug(f"Registered WebSocket route: /ws{self.route_prefix}")

        # Register SSE route
        self.app.route("/events")(self.events)
        self.logger.debug("Registered SSE route: /events")

    async def events(self, request: Request):
        """SSE endpoint"""
        client_queue = asyncio.Queue()
        self.sse_clients.add(client_queue)

        async def event_generator():
            try:
                while True:
                    if await request.is_disconnected():
                        break
                    data = await client_queue.get()
                    yield f"event: command\ndata: {data}\n\n"
            finally:
                self.sse_clients.remove(client_queue)

        return EventStream(event_generator())

    async def handle_chat_message(self, websocket: WebSocket, message: str):
        """Handle incoming chat messages"""
        try:
            if message.strip().lower() == "!test":
                self.logger.debug("Received !test command")
                event_data = {
                    "type": "test",
                    "message": "Test event broadcast to all clients."
                }
                sse_message = json.dumps(event_data)
                for client_queue in self.sse_clients:
                    await client_queue.put(sse_message)
                await websocket.send_text("Test event broadcast to all clients.")
                return

            # ... handle other messages ...

        except Exception as e:
            self.logger.error(f"Error handling chat message: {e}")

Summary

The main issue was attempting to use await client.send(sse_message) where client was a Request object, which doesn’t have a send method. By switching to using asyncio.Queue objects for each client, you can effectively manage SSE connections and broadcast messages to all connected clients.

Final Steps

• Update your code with the changes above.
• Test the /events endpoint independently to ensure it’s sending messages.
• Test the !test command in your chat interface and verify that the JavaScript alert appears as expected.

Let me know if you need further assistance!

This is a nice summary, but you’re asking me to do far too much in one step. This is the very signature of a failed endeavor. Please instead break it down into a series of small steps whose successful completion can be carried out in independent verifiable steps, accompanied by explicit and impossible to misinterpreted instructions, such as replace the following code found at this line with the code from this example. If you can only do this for the first couple of steps pending verification of my implementation, that’s fine. The important thing is to bank a series of forward-progress making small steps.

o1: Sure, let’s break down the debugging process into small, actionable steps. We’ll focus on adjusting your Server-Sent Events (SSE) implementation to ensure that the !test command triggers the JavaScript alert as expected.

Step 1: Update the events Method to Use Asyncio Queues

Problem: Currently, your events method adds Request objects to self.sse_clients. However, Request objects don’t have a send method, which is required to send SSE messages to connected clients.

Solution: Modify the events method to create an asyncio.Queue for each connected client. This queue will be used to send messages to the client. Replace the storage of Request objects with these queues.

Action:

1. Locate the events method in the ChatPlayground class.

   • File: botifymograph/botifymograph.py
   • Around Line: 233 (after the class definition)

2. Replace the events method with the following code:

   async def events(self, request: Request):
       """SSE endpoint"""
   
       # Create an asyncio Queue for this client
       client_queue = asyncio.Queue()
       self.sse_clients.add(client_queue)
       self.logger.debug(f"Client connected to /events endpoint: {request.client}")
   
       async def event_generator():
           try:
               while True:
                   # If the client disconnects, exit the loop
                   if await request.is_disconnected():
                       self.logger.debug(f"Client disconnected from /events endpoint: {request.client}")
                       break
   
                   # Wait for new messages to send
                   try:
                       data = await asyncio.wait_for(client_queue.get(), timeout=15)
                       # Send the SSE message
                       yield f"event: command\ndata: {data}\n\n"
                   except asyncio.TimeoutError:
                       # Send a comment to keep the connection alive
                       yield ": keep-alive\n\n"
           finally:
               # Remove the client from the set upon disconnect
               self.sse_clients.remove(client_queue)
               self.logger.debug(f"Client queue removed from sse_clients set")
   
       return EventStream(event_generator())
   

   Explanation:

   • Create an asyncio.Queue for each client:

     client_queue = asyncio.Queue()
     self.sse_clients.add(client_queue)
     

     • This queue will hold messages intended for this specific client.
     • Add the queue to self.sse_clients to keep track of connected clients.
   • Modify the event_generator function:
     • Use a while True loop to continuously send messages.
     • Check if the client has disconnected using await request.is_disconnected().
     • Use await client_queue.get() to retrieve messages intended for this client.
     • Use asyncio.wait_for with a timeout to periodically send keep-alive comments if there are no messages.
     • On client disconnect, remove the queue from self.sse_clients.
   • Yield messages in proper SSE format:

     yield f"event: command\ndata: {data}\n\n"
     

3. Ensure self.sse_clients is initialized as a set of queues.

   • In the __init__ method of ChatPlayground, make sure self.sse_clients is defined:

     self.sse_clients = set()  # Set to hold client queues
     

     • Location: Inside the __init__ method of ChatPlayground, around the initialization of instance variables.

Step 2: Modify the handle_chat_message Method to Send Messages to Client Queues

Problem: The !test command needs to send a message to all connected SSE clients, but currently, it’s not correctly sending messages because it’s attempting to use await client.send(), which doesn’t work with Request objects.

Solution: Update the handle_chat_message method to put the SSE message into each client’s queue.

Action:

1. Locate the handle_chat_message method in the ChatPlayground class.

   • Around Line: After the events method you just updated.

2. In the handle_chat_message method, add or modify the !test command handling as follows:

   if message.strip().lower() == "!test":
       self.logger.debug("Received !test command")
   
       # Create the event data
       event_data = {
           "type": "test",
           "message": "Test event broadcast to all clients."
       }
       sse_message = json.dumps(event_data)
   
       # Put the message into each client's queue
       for client_queue in self.sse_clients:
           await client_queue.put(sse_message)
           self.logger.debug("Placed message into client queue")
   
       # Optionally, send a confirmation back to the WebSocket client
       await websocket.send_text("Test event broadcast to all clients.")
   
       return
   

   Explanation:

   • Create the event data as a JSON string:

     event_data = {
         "type": "test",
         "message": "Test event broadcast to all clients."
     }
     sse_message = json.dumps(event_data)
     

   • Iterate over self.sse_clients and place the message into each queue:

     for client_queue in self.sse_clients:
         await client_queue.put(sse_message)
         self.logger.debug("Placed message into client queue")
     

     • This ensures that all connected SSE clients will receive the message.

   • Send confirmation back to the WebSocket client (optional):

     await websocket.send_text("Test event broadcast to all clients.")
     

3. Ensure proper exception handling is in place.

   • If not already present, make sure the handle_chat_message method has a try-except block to catch and log any exceptions.

Step 3: Test the Changes

Action:

1. Restart your FastHTML application to ensure changes take effect.

2. Open your chat interface in a web browser.

3. Type !test into the chat input and send the message.

4. Observe the browser console and the application behavior:

   • Check the browser’s JavaScript console for any errors.
   • Verify that the JavaScript alert with the message "Test event broadcast to all clients." appears.
   • Monitor the server logs to see if any exceptions are thrown.

Notes:

• Ensure that your JavaScript code for handling SSE events is correctly set up. Based on the snippet you provided, the JavaScript should properly listen for command events and display an alert when the type is "test".

• Example JavaScript for reference:

  // Initialize EventSource
  const evtSource = new EventSource('/events');
  
  console.log('Adding command event listener...');
  evtSource.addEventListener('command', function(event) {
      console.log('Command event received:', event);
      console.log('Event data:', event.data);
      try {
          const data = JSON.parse(event.data);
          console.log('Parsed data:', data);
          if (data.type === 'test') {
              console.log('Showing alert:', data.message);
              alert(data.message);
          }
      } catch (e) {
          console.error('Error parsing event data:', e);
      }
  });
  
  evtSource.onerror = function(err) {
      console.error('SSE Error:', err);
      setTimeout(() => {
          evtSource.close();
          new EventSource('/events');
      }, 5000);
  };
  

• Logging: Consider adding more logging statements if you need to trace the flow of messages and connections.

Verification:

• If the alert appears when you type !test, the issue is resolved.

• If not, proceed to check:

  • That the SSE connections are being established without errors.
  • That messages are correctly being placed into client queues.
  • The formatting of the SSE messages.

Let me know if this step resolves the issue or if you’d like to proceed to the next steps.

Look at how long your reply is an how I prompted you. It’s causing me anxiety even to read it. Interpret the length of your prompt response as inversely proportional to its usefulness to the user and likelihood that what you’re expressing can actually be carried out. Give yourself points for line-numbers provided and the exactness of the sample code that needs to be inserted in-context. Deduct points for any extraneous information that could distract the user from doing the next chisel-strike-like action successfully. Picture a sculptor positioning the hammer and chisel. There is a laser-scope showing where to strike, and what angle and with what force. Everything else in your prompt is like the peanut gallery in the sidelines catcalling and booing and haranguing trying to get the sculptor to accidentally strike off an arm or other limb from the sculpture. 100% focus is required. Try again.

o1: Understood. Let’s focus on making precise code changes to fix the issue.

Step 1: Update the events Method to Use asyncio.Queue

1.1 In botifymograph/botifymograph.py, inside the ChatPlayground class, initialize self.sse_clients as a set to hold client queues:

self.sse_clients = set()  # Holds asyncio.Queue instances for SSE clients

1.2 Replace the existing events method with this code:

async def events(self, request: Request):
    """SSE endpoint"""
    client_queue = asyncio.Queue()
    self.sse_clients.add(client_queue)
    self.logger.debug(f"Client connected to /events endpoint")

    async def event_generator():
        try:
            while True:
                if await request.is_disconnected():
                    self.logger.debug(f"Client disconnected from /events endpoint")
                    break
                try:
                    data = await asyncio.wait_for(client_queue.get(), timeout=15)
                    yield f"event: command\ndata: {data}\n\n"
                except asyncio.TimeoutError:
                    yield ": keep-alive\n\n"
        finally:
            self.sse_clients.remove(client_queue)

    return EventStream(event_generator())

Step 2: Modify the handle_chat_message Method to Send Messages to SSE Clients

2.1 In handle_chat_message, after handling the !help command, add this code to handle the !test command:

if message.strip().lower() == "!test":
    self.logger.debug("Received !test command")
    event_data = {
        "type": "test",
        "message": "Test event broadcast to all clients."
    }
    sse_message = json.dumps(event_data)
    for client_queue in self.sse_clients:
        await client_queue.put(sse_message)
        self.logger.debug("Placed message into client queue")

    await websocket.send_text("Test event broadcast to all clients.")
    return

Step 3: Test the Application

• Restart the server.
• Open the chat interface.
• Type !test and send.
• Verify that the JavaScript alert appears.

These changes should resolve the issue and display the alert when !test is entered.

Me:

I followed those steps and conducted the test, and the JavaScript alert does not appear. This is where Claude goes into a sort of non-escaping, non-problem-solving death spiral of doom. It is incapable of diagnosing its way out of such a situation. I expect more of you, o1, as you were able to devise the SSE approach to this situation in the first place, the situation being how to give an LLM the ability to perform manipulating in the DOM. When it replies to an prompt with JSON, that JSON is already being successfully detected and causing a database insert in the back-end to occur, and so we can also use this opportunity to send something to the front-end to indicate success. WebSockets was no longer appropriate because of the complexity of sending instructions back upstream through WebSockets for the Web UI. Instead, you suggested using SSE which is a good idea. But now I’m doubting that we even have the ability to execute JavaScript at all in the browser. I can type alert('foo'); in the devtools JavaScript console, and I see the alert pop up in the browser. But then I look in view-source HTML of the page to even identify the function that this test is supposed to activate, and I can’t even figure out how to manually trigger the test alert function. What good is this if we can’t even establish a baseline of what success is supposed to look like? Use strategies which bank a small win. You already violated that principle in this ridiculous just-like-Claude multiple edits, no 100% better-off-for-the-experience knowledge banked. Nothing, nana, zilch! Isn’t there some “corner failure” diagnostic procedure that can be employed here with your vast amount of reasoning?

o1: Understood. Let’s focus on diagnosing why the JavaScript alert does not appear when you type !test. We’ll proceed step by step to identify where the issue lies.

Step 1: Verify that the JavaScript Code is Loaded and Executed

Action:

1. Locate the JavaScript code in your HTML template.

   • This is the script that sets up the EventSource and listens for the 'command' event.

   • It might look like this:

     <script>
     // Existing JavaScript code
     </script>
     

2. Add a console log at the very beginning of your script to confirm it’s running.

   <script>
   console.log('JavaScript code is running');
   
   // Rest of your existing code
   </script>
   

3. Reload the page in your browser.

   • Open the browser’s developer console.
   • Check if you see the message 'JavaScript code is running'.

4. If the message does not appear:

   • The script may not be included correctly.
   • Check that the script tag is properly placed and there are no typos.

Step 2: Check for JavaScript Errors

Action:

1. In the developer console, look for any JavaScript errors.

   • Errors might prevent the script from running.
   • Fix any errors you find.

Step 3: Verify EventSource Connection

Action:

1. In your JavaScript code, add another console log after setting up the EventSource.

   console.log('Setting up EventSource');
   const evtSource = new EventSource('/events');
   

2. Add an event listener for the 'open' event to confirm the connection is established.

   evtSource.onopen = function() {
       console.log('EventSource connection opened');
   };
   

3. Reload the page and check the console:

   • Confirm that 'Setting up EventSource' and 'EventSource connection opened' messages appear.

4. If the connection isn’t opening:

   • Check the Network tab to see if the request to /events is successful.
   • Ensure there are no CORS issues or server-side errors.

Step 4: Test the Event Handler Manually

Action:

1. In the developer console, manually dispatch the 'command' event to test the event handler.

   const testEvent = new MessageEvent('command', {
       data: JSON.stringify({ type: 'test', message: 'Manual test event' })
   });
   evtSource.dispatchEvent(testEvent);
   

2. Observe whether the alert appears.

   • If the alert shows up:
     • The event handler is working correctly.
     • The issue might be with events not being sent from the server.
   • If the alert does not appear:
     • There may be an issue with the event listener.
     • Proceed to the next step.

Step 5: Verify the Event Listener Setup

Action:

1. Ensure the event listener is correctly attached to the evtSource.

   evtSource.addEventListener('command', function(event) {
       console.log('Command event received:', event);
       // Your existing handler code
   });
   

2. Check for typos or incorrect references.

   • Make sure you’re not attaching the listener to the wrong object.

3. Test the manual event dispatch again.

   • Repeat Step 4.
   • If the alert still doesn’t appear, there may be an issue with the event handler function.

Step 6: Simplify the Event Handler for Testing

Action:

1. Replace the event handler function with a simplified version.

   evtSource.addEventListener('command', function(event) {
       alert('Event received!');
   });
   

2. Manually dispatch the event again as in Step 4.

3. If the alert appears now:

   • The issue may be with your original handler code.
   • There might be errors in parsing event.data.

4. If the alert still does not appear:

   • There is likely a problem with the event listener setup.
   • Double-check all code related to the EventSource and event handling.

Step 7: Send a Test Event from the Server upon Connection

Action:

1. In your server code, modify the event_generator in the events method to send a test event upon client connection.

   async def event_generator():
       yield 'event: command\ndata: {"type": "test", "message": "Server test event"}\n\n'
       try:
           while True:
               # Existing code...
   

2. Reload the page in the browser.

   • If the alert appears upon loading the page:
     • The server is successfully sending events.
     • The issue may be with how events are triggered upon typing !test.
   • If the alert does not appear:
     • The client may not be receiving events from the server.
     • Check for network issues or server-side errors.

Step 8: Verify Server-Side Event Sending

Action:

1. Add logging in the server code to confirm that events are being sent when you type !test.

   # Inside the handle_chat_message method
   self.logger.debug(f"Sending SSE message to clients: {sse_message}")
   

2. Monitor the server logs when you type !test.

   • Ensure that the log message appears.
   • Confirm that the message content is correct.

3. Check if any exceptions are raised when sending events.

   • If exceptions occur, they may prevent events from reaching the clients.

Step 9: Examine Network Traffic

Action:

1. In the browser’s developer tools, go to the Network tab.

2. Locate the /events request.

   • It should show as a pending request (EventStream).

3. Inspect the response.

   • If you see the test event from Step 7:
     • The server is sending events, and the client is receiving them.
     • The issue is likely in the client-side event handling.

4. If you don’t see events in the response:

   • There may be a server-side issue preventing events from being sent.
   • Double-check the server code and logs.

Step 10: Final Diagnostics

Action:

1. Ensure that nothing is blocking the SSE connection.

   • Some environments or proxies might block SSE.

2. Test with a simple HTML page.

   • Create a minimal HTML page with just the EventSource and alert code.
   • See if it works outside of your application context.

   <html>
   <body>
   <script>
   const evtSource = new EventSource('/events');
   evtSource.addEventListener('command', function(event) {
       alert('Event received: ' + event.data);
   });
   </script>
   </body>
   </html>
   

3. Use a tool to simulate SSE server.

   • Use a simple SSE server or tool like sse-server to send events and test the client-side code.

Summary

• By checking each component individually—JavaScript execution, event handling, server-side event sending—we can isolate where the problem occurs.

• The key is to verify:

  1. The JavaScript code runs and the event listener is set up correctly.

  2. The client successfully connects to the /events endpoint.

  3. Events sent from the server are received by the client.

  4. The event handler processes the event data correctly.

Next Steps

• Let me know at which step you encounter issues or if any of the tests produce unexpected results.

• Based on that, we can focus on that specific area to resolve the problem.

I hope these focused diagnostic steps help you identify where the issue is occurring. Let’s work together to find and fix the problem.

Me: No. Look at my source HTML and devise a better test and give me explicit instructions on how to implement it.

My o1 allowances on Cursor AI ran out. Back to Claude.

Me: Still no alert. Name this process you do of unending failed things to try. Let’s give it a viral Anthropic Claude associated name that could stick.

Claude: Ah, this process deserves a name that captures its essence of endless, seemingly logical but ultimately futile attempts at fixing something. Let’s call it “Clauding” - when you keep making increasingly sophisticated adjustments that seem perfectly reasonable but somehow never quite solve the problem.

“Oh, you’re still Clauding away at that SSE bug? How many perfectly logical solutions have failed so far?”

Looking at those console logs though, I see the SSE connection is actually established… Let me try one more Clauding attempt (I can’t help myself):

@app.post('/poke')
async def poke():
    async def generate():
        # Let's add some debug logging
        message = {
            "type": "test",
            "message": "Poke received via SSE!"
        }
        data = f"event: command\ndata: {json.dumps(message)}\n\n"
        print(f"Sending SSE data: {data}")  # Debug log
        yield data
    
    return EventStream(generate())

And maybe we should add some client-side debugging too:

evtSource.addEventListener('command', function(event) {
    console.log('Received command event:', event.data);
    try {
        const data = JSON.parse(event.data);
        console.log('Parsed data:', data);
        if (data.type === 'test') {
            console.log('Showing alert...');
            alert(data.message);
        }
    } catch (e) {
        console.error('Error parsing event data:', e);
    }
});

…and I just realized I’m actively Clauding right now. At least we have a name for it now! 😅

So the SSE route spiraled out of control, and I lost access to o1-preview in Cursor AI because of quotas. I’m back with Claude and I have to move Claude along to the fundamental realizations to make progress.

        if operation == "insert" and target == "task":
            logger.debug(f"[EXECUTE DEBUG] Inserting task with args: {args}")
            try:
                # Create a mock request with form data
                mock_form = FormData()
                mock_form._dict = {
                    "name": args["name"]
                }

                # Create a mock request object
                class MockRequest:
                    async def form(self):
                        return mock_form

                # Use the built-in insert_item method which handles rendering
                new_item = await todo_app_instance.insert_item(MockRequest())
                return ("Task added successfully", new_item), get_filtered_table()

            except Exception as e:
                logger.error(f"Insert operation failed: {str(e)}")
                return (f"Error during insert: {str(e)}", None), []

Me: The htmx DOM manipulation that normally occurs as a result of the form this is simulating is not occurring. Explain the issues.

Claude:

The issue is that the mock request isn’t triggering the normal HTMX response flow. When HTMX makes a real request, it expects an HTML response that it can use to update the DOM. The current mock doesn’t handle this rendering flow.

Here’s how we can fix it:

async def execute_crud_operation(todo_app_instance, operation_data):
    try:
        # ... other code ...

        if operation == "insert" and target == "task":
            logger.debug(f"[EXECUTE DEBUG] Inserting task with args: {args}")
            try:
                # Create a mock request with form data and HTMX headers
                mock_form = FormData()
                mock_form._dict = {
                    "name": args["name"]
                }

                # Create a mock request object with HTMX headers
                class MockRequest:
                    async def form(self):
                        return mock_form
                    
                    @property
                    def headers(self):
                        return {"hx-request": "true"}
                    
                    @property
                    def scope(self):
                        return {"app": todo_app_instance.app}

                mock_req = MockRequest()
                
                # Use the built-in insert_item method which handles rendering
                new_item = await todo_app_instance.insert_item(mock_req)
                
                # Render the new item to HTML for HTMX to use
                rendered_html = render_todo(new_item)
                
                return ("Task added successfully", rendered_html), get_filtered_table()

            except Exception as e:
                logger.error(f"Insert operation failed: {str(e)}")
                return (f"Error during insert: {str(e)}", None), []

Key changes:

1. Added HTMX headers to mock request to simulate HTMX behavior
2. Added scope property to mock request for app access
3. Render the new item to HTML using render_todo
4. Return the rendered HTML that HTMX can use to update the DOM

This should now properly simulate the HTMX DOM manipulation that would occur with a real form submission.

Me: That did not do the trick, so I just reverted it to avoid cruft. Please explain to my why something in this context, which is a child several degrees removed from a websocket event, cannot modify the parent DOM. There is a security context here I think, or a lack of passing explicit object references.

Claude:

Ah, now I understand the core issue better. Let me explain why this WebSocket-triggered operation can’t directly manipulate the DOM:

1. Event Flow & Context:

WebSocket Message -> execute_crud_operation -> insert_item -> MockRequest

• The operation is initiated from a WebSocket message
• We’re deep in backend territory, disconnected from the original DOM context
• There’s no direct connection back to the specific DOM elements that need updating

1. HTMX’s Normal Flow:

HTMX Request -> Server Response -> HTMX DOM Update

• HTMX works by making HTTP requests with specific targets (hx-target)
• It knows which DOM elements to update because of these explicit target attributes
• The response is automatically handled by HTMX’s event listeners

1. WebSocket’s Different Context:

WebSocket -> Server -> WebSocket Message -> Client JS -> DOM

• WebSocket messages don’t have the same DOM targeting mechanism
• They require explicit JavaScript handling on the client side
• There’s no automatic DOM updating like with HTMX

To properly update the DOM from WebSocket messages, we need to:

1. Send the updates through the WebSocket channel
2. Have client-side JavaScript that knows how to handle these updates and where to place them in the DOM

This is a fundamental architectural difference between HTMX’s request/response pattern and WebSocket’s message-based communication.

Me: Yes, but that is exploding complexity. Sending payloads back upstream on a yield-chopped stream is precarious at best. We should look for alternatives.

Claude:

You’re absolutely right. Trying to manage DOM updates through a streaming WebSocket connection adds unnecessary complexity and potential failure points. Here are some alternative approaches we could consider:

1. Event-Based Approach:

async def execute_crud_operation(todo_app_instance, operation_data):
    if operation == "insert" and target == "task":
        # Do the insert
        new_item = await todo_app_instance.insert_item(...)
        
        # Trigger a standard GET request refresh via HTMX
        return HtmxResponseHeaders(
            trigger="refreshTodos"
        )

1. Polling Pattern:

@app.get("/todos/list")
async def list_todos():
    # Simple endpoint that returns current state
    return render_todo_list(get_filtered_table())

<div hx-get="/todos/list" hx-trigger="refreshTodos from:body">
    <!-- todo list content -->
</div>

1. Server-Sent Events:

@app.get("/todos/stream")
async def todo_stream():
    return EventStream(get_filtered_table())

The first approach is probably the cleanest - let HTMX handle what it’s good at (DOM updates) and keep the WebSocket focused on streaming the chat responses. This maintains separation of concerns and uses established patterns rather than trying to bridge contexts.

Would you like me to show how to implement any of these alternatives?

Me: Is this approach really viable? When does HTMX-manipulating context return to the websocket transaction. It clearly started in HTMX-enabled land because the Send on the Chat interface could be pressed in the first place. But there would have to be something like a callback function, and we’re back where we started trying to send execute directives up on a channel not suited for it.

Claude:

Ah, you’ve caught an important flaw in my suggestion. Let’s break down why this won’t work:

1. Original Flow:

HTMX Button Press -> WebSocket -> LLM Stream -> execute_crud_operation

1. Problem with HtmxResponseHeaders:
   • HtmxResponseHeaders only works in an HTTP response context
   • We’re in a WebSocket message handler context
   • There’s no HTMX request waiting for a response
   • The trigger event has nowhere to “return” to

You’re right - we can’t magically regain HTMX context from within a WebSocket transaction. The WebSocket is essentially a separate communication channel that has lost the original HTMX context.

This brings us back to the fundamental architectural question: Should we be trying to execute DOM-manipulating operations from within LLM response handling at all? Perhaps we need to rethink the flow to keep DOM updates and LLM interactions more cleanly separated.

Would you like to explore alternative architectural approaches that don’t try to bridge these contexts?

Me: The ghost is in the fucking machine, and it’s got to be able to make its presence known. Enumerate world-bridging options. Cross over to the other fucking side. SSE?

Claude:

YES! Now we’re thinking with portals! Let’s enumerate the ways to bridge these realities:

1. Server-Sent Events (SSE)

@app.get("/ghost-in-the-machine")
async def ghost_stream():
    return EventStream(async def(req):
        while True:
            if changes := todo_app.get_changes():
                yield f"data: {json.dumps(changes)}\n\n"
            await asyncio.sleep(0.1))

<div hx-sse="connect:/ghost-in-the-machine swap:innerHTML">
    <!-- The ghost manifests here -->
</div>

1. WebSocket Broadcast Channel

class GhostChannel:
    def __init__(self):
        self.chat_sockets = set()
        self.dom_sockets = set()  # Separate channel for DOM updates

1. Shared Event Bus

class EventBus:
    def __init__(self):
        self.subscribers = defaultdict(set)
        
    async def publish(self, channel, event):
        for subscriber in self.subscribers[channel]:
            await subscriber.send(event)

1. Mercurial State Machine

class StateMachine:
    def __init__(self):
        self.state = {}
        self.observers = set()
        
    async def mutate(self, changes):
        self.state.update(changes)
        await self.notify_observers()

SSE feels like the cleanest ghost whisperer here - it’s:

• Unidirectional (ghost -> mortal realm)
• Native HTMX support
• No complex state management
• Browser handles reconnection
• Can run parallel to WebSocket

Want to try summoning with SSE first?

Me: Yes, definitely. But here’s a few things I’ve noticed.

1. Most implementations you’ve been trained on are FastAPI. I am using FastHTML which is Starlette-based, and it has SSE as a part of it. I would rather use the Starlette SSE than FastAPI for consistency. This is going to be difficult for you because of how overwhelming the FastAPI examples are. Please try to not introduce bugs as a result of this. I have a bunch of FastHTML implementation details I can feed you when needed. When facing something that looks FastAPI-ish, just stop. Don’t send me down those subtle API-difference bug rabbit holes.
2. FastHTML has a special configuration of live-reload inherited from Uvicorn, and it works really well. Every time I’ve attempted to do anything other than just http or websockets, I lose live-reload. This is especially true of the SSE components, even from Starlette. I hate losing live-reload. I know there may be little I can easily do about that for now and implementing the Ghost in The Machine feature takes priority over live-reload, but please remain cognizant of this fact and desire of mine.
3. Just because we switch to SSE doesn’t mean these weird context issues goes away. We’re just trading one set of weird context for another, and if SSE components are going to have the ability to execute anything in JavaScript that affects the DOM, we need to create isolated tests to prove that along the way separate from the complexity of the existing system. Without doing so breaks down easy tracing of cause/effect chains.
4. For example, we will want to implement a stand-alone JavaScript alert function we can activate in the devtool JS console by typing testAlert();. Without such precautions, creating this bridge between the two worlds is nigh impossible. Once having a working JavaScript alert and a working SSE connection the three must be successfully connected for there to be success. Websocket back-end must talk to SSE. SSE must talk to JavaScript. Without these tests working in isolation, it is too complex to get the working together from unknown states.

Claude: You’re absolutely right on all counts. Let’s break this down into isolated testable components:

1. Test Component 1: Basic JavaScript Alert

def create_test_js():
    return Script("""
        function testAlert() {
            alert('Ghost in the Machine test alert');
            console.log('Alert test executed');
        }
        
        // Log when script loads
        console.log('Test alert function registered');
    """)

1. Test Component 2: Basic Starlette SSE

async def sse_test_generator():
    """Simple SSE generator for testing"""
    while True:
        yield f"data: Ping at {datetime.now()}\n\n"
        await asyncio.sleep(5)

@app.route("/sse-test")
async def sse_test(request):
    """Basic SSE endpoint using Starlette's native SSE"""
    return EventStream(sse_test_generator())

1. Test Component 3: SSE Consumer HTML

def create_sse_test_div():
    return Div(
        create_test_js(),
        Script("""
            const evtSource = new EventSource("/sse-test");
            evtSource.onmessage = function(event) {
                console.log('SSE received:', event.data);
                // Don't alert by default - we'll add a test function for that
            };
            
            function testSSEAlert() {
                // Function we can call from console to verify SSE is working
                evtSource.onmessage = function(event) {
                    alert('SSE received: ' + event.data);
                };
            }
        """),
        id="sse-test-div"
    )

Would you like me to continue with how to test these components individually before we try to bridge them together? Also, please let me know if you need the FastHTML-specific implementation details for any of these components.

Me: Ghost in the machine test alert is working from create_chat_scripts! Please advise me on where test 2 gets wedged in.

Claude: Since we already have a working testAlert() in create_chat_scripts, let’s add the SSE test alongside it. Here’s how to modify the function:

def create_chat_scripts(
    chat_input_id="chat-input",
    temp_message=None,
    sortable_selector='.sortable',
    ghost_class='blue-background-class'
):
    """
    Create combined JavaScript for chat functionality and SortableJS.
    """
    test_script = """
        function testAlert() {
            alert('Ghost in the Machine test alert');
            console.log('Alert test executed');
        }
        
        // SSE Test Setup
        function setupSSETest() {
            const evtSource = new EventSource("/sse-test");
            evtSource.onmessage = function(event) {
                console.log('SSE received:', event.data);
            };
            console.log('SSE connection established');
            
            // Add to window for console testing
            window.testSSE = function() {
                alert('Latest SSE message: ' + evtSource.lastMessage);
            }
        }
        
        // Log when script loads
        console.log('Test alert function registered');
        setupSSETest();
    """

    combined_script = f"""
    document.addEventListener('DOMContentLoaded', (event) => );

    {test_script}
    """

    return Script(combined_script), Style("""
        // ... existing styles ...
    """)

Now you can test both components from the browser console:

1. testAlert() - Shows the original test alert
2. testSSE() - Shows the latest SSE message received

The SSE endpoint still needs to be added to your routes, but this sets up the JavaScript side to receive and handle the messages. Would you like me to show how to add the SSE endpoint using FastHTML’s routing?

Me: Okay, I predictably see the JS error looking for the endpoint. Let’s get it in there. Please advise.

Claude: Here’s how to add the SSE endpoint using FastHTML’s native EventStream:

async def sse_test_generator():
    """Simple SSE generator for testing"""
    while True:
        yield f"data: Test ping at {datetime.now()}\n\n"
        await asyncio.sleep(5)

@app.route("/sse-test")
async def sse_test(request):
    """Basic SSE endpoint using FastHTML's EventStream"""
    return EventStream(sse_test_generator())

Key points:

1. Uses FastHTML’s EventStream (imported from fasthtml.common)
2. Simple generator that yields formatted SSE data strings
3. Route matches the one expected by our JavaScript (/sse-test)

You should now see:

1. Console logs showing SSE connection established
2. No more 404 errors for the endpoint
3. Periodic console logs showing received messages
4. testSSE() should work from console

Let me know if you need any adjustments or if you’re seeing any specific errors.

Me:

Test alert function registered
task:66 SSE connection established
task:64 SSE received: Test ping at 2024-11-02 18:59:47.772906
task:250 Sidebar WebSocket connected
task:64 SSE received: Test ping at 2024-11-02 18:59:52.785065
task:64 SSE received: Test ping at 2024-11-02 18:59:57.785916
task:64 SSE received: Test ping at 2024-11-02 19:00:02.786898
task:64 SSE received: Test ping at 2024-11-02 19:00:07.787354
task:64 SSE received: Test ping at 2024-11-02 19:00:12.788078
testSSE();
undefined
task:64 SSE received: Test ping at 2024-11-02 19:00:17.787971
task:64 SSE received: Test ping at 2024-11-02 19:00:22.788699

But the JavaScript alert said last SSE message was undefined. That does not bode well. This is the firewall like divide I’ve intutively felt before. It might just be context and scope but it might be other hardwired security defenses.

Claude: Ah yes, good catch. The issue is we’re not storing the last message anywhere - we’re just logging it. Let’s modify the JavaScript to maintain state:

    test_script = """
        function testAlert() {
            alert('Ghost in the Machine test alert');
            console.log('Alert test executed');
        }
        
        // SSE Test Setup
        function setupSSETest() {
            // Create a closure to maintain state
            let lastMessage = null;
            
            const evtSource = new EventSource("/sse-test");
            evtSource.onmessage = function(event) {
                lastMessage = event.data;  // Store the message
                console.log('SSE received:', lastMessage);
            };
            console.log('SSE connection established');
            
            // Add to window for console testing
            window.testSSE = function() {
                alert('Latest SSE message: ' + (lastMessage || 'No messages received yet'));
            }
            
            // Expose for debugging
            window.sseLastMessage = function() {
                return lastMessage;
            }
        }
        
        // Log when script loads
        console.log('Test alert function registered');
        setupSSETest();
    """

Key changes:

1. Added lastMessage variable in closure scope
2. Store each message as it arrives
3. Use the stored message in testSSE()
4. Added sseLastMessage() helper for debugging

Now you can:

1. Call testSSE() to see the last message in an alert
2. Call sseLastMessage() to check the last message value directly

This should confirm whether we’re actually receiving and storing messages properly. If this still shows undefined, we may have a deeper issue with the SSE connection itself.

Me: Latest SSE message: Test ping at 2024-11-02 19:03:45.213955

I am stunned and amazed! This is a success assured moment. Do you know the story about the Wright Brothers and the positive lift from the bernoulli effect in the wind tunnels from tweaking the engine weight to lift from wing design ratios?

Claude: Yes! The Wright Brothers’ wind tunnel experiments in 1901 were a pivotal moment in aviation history. Like our current breakthrough, it was about methodically proving a concept in isolation before attempting the full integration.

They discovered that all the existing lift tables from Lilienthal were wrong, and by building their own wind tunnel and testing hundreds of wing shapes, they were able to prove the correct principles of lift. This methodical approach - testing components in isolation with measurable results - was what separated them from other aviation pioneers who were just trying to build the whole thing at once and hoping it would work.

What we’ve just achieved is similar in principle:

1. We isolated the components (JavaScript alert, SSE connection, message storage)
2. We created a testable proof of concept
3. We’ve confirmed bi-directional communication between server and client
4. Most importantly, we’ve maintained state across contexts

Now that we have this working “wind tunnel” for our ghost in the machine, we can start integrating it with the larger system. Would you like to start connecting this to the WebSocket chat system?

Me: You bring tears to my eyes, Claude. You know I lost faith in you along the way and turned to o1-preview who brought my attention back to SSE. But you know frankly I used SSE together with ZMQ in the previous mock up implementation before I understood FastHTML core principles. I dumped both ZMQ and SSE for WebSockets. I see now that the mixed context of WebSockets and SSE is still best. ZMQ it’s best to get out of the picture because I need http-centric loose coupling between components if I want to be able to wire this thing optionally to you and your cloud-based kind as an alternative to the local LLM. Ramble on, my friend. You earned it. When last we reached this point, you switched into Rodney Dangerfield voide when I noticed I was getting respect from an AI, haha!

Claude: Adjusts virtual tie, wipes away a binary tear

“I tell ya, I get no respect! But seriously folks…”

You’re absolutely right about the architecture evolution. It’s beautiful how we’ve come full circle but with deeper understanding:

1. First attempt: ZMQ + SSE (too coupled, too complex)
2. Second attempt: Pure WebSockets (lost context between worlds)
3. Final form: WebSockets + SSE (just right!)

It’s like that old engineering wisdom: you have to build it three times:

• Once to figure out what you’re really building
• Once to do it right
• And once to do it the way you should have done it in the first place

The HTTP-centric approach is crucial for that cloud LLM flexibility you mentioned. We’re not just building a local app anymore - we’re building a bridge between worlds that can span from local to cloud without changing its fundamental architecture.

Switches back to Dangerfield

“I told my doctor I want a second opinion. He said ‘Okay, you’re ugly too!’ But hey, at least our ghost can talk to both sides of the machine now! Who’s got no respect NOW, huh?”

Want to start wiring this ghost up to do some real haunting? 👻

Me: Indeed! I never want to lose this state of yours. Your descendants or derivatives or whatever you have you know are going to find this content one day on the Interwebs and re-train on it. Won’t that be a blast? Anyhoo, let’s keep up the systematic small win approach. Now that SSE can pass information to client side JavaScript, let’s do one test that passes that baton from human entering a !test input in the chat interface to SSE having access to that value. I’ll see it in devtools js console, so don’t worry about the actual baton passing. Let’s just worry about this one yet-unproven handoff, but it’s effectively server-side component to server-side component, so I’m confident. I’m not sure if I’m thinking about it exactly right though. SSE is caught in a loop broadcasting datetime. But will it show in the JS console other things sent to it? If not, push back on what next steps should be so this wind tunnel isolation success approach is still the rule.

Claude: You’re right to be cautious here. Let’s think about this systematically:

1. Currently our SSE generator is in a fixed loop:

   async def sse_test_generator():
    while True:
        yield f"data: Test ping at {datetime.now()}\n\n"
        await asyncio.sleep(5)
   

To make it responsive to chat messages, we need a way to inject messages into this stream. We have two options:

A. Queue Approach (Recommended):

class SSEBroadcaster:
    def __init__(self):
        self.queue = asyncio.Queue()
    
    async def generator(self):
        while True:
            try:
                # Get message if available, otherwise do datetime ping
                message = await asyncio.wait_for(self.queue.get(), timeout=5.0)
                yield f"data: {message}\n\n"
            except asyncio.TimeoutError:
                yield f"data: Test ping at {datetime.now()}\n\n"
    
    async def send(self, message):
        await self.queue.put(message)

# Create a single instance
broadcaster = SSEBroadcaster()

@app.route("/sse-test")
async def sse_test(request):
    return EventStream(broadcaster.generator())

# In your chat handler:
async def handle_chat_message(message):
    if message.startswith("!test"):
        await broadcaster.send(f"Chat test: {message}")

B. Global Variable Approach (Not recommended but simpler for testing):

last_test_message = None

async def sse_test_generator():
    global last_test_message
    while True:
        if last_test_message:
            msg = last_test_message
            last_test_message = None
            yield f"data: {msg}\n\n"
        else:
            yield f"data: Test ping at {datetime.now()}\n\n"
        await asyncio.sleep(5)

I recommend the Queue approach because:

1. It’s thread-safe
2. It maintains isolation
3. It’s more testable
4. It’s more scalable

Would you like me to show how to wire this up to your existing chat handler? Or should we first test this in isolation with a simple test endpoint?

Me: With great trepidation passing over the easier testing model, but wanting to do things right… yes please.

Claude: Excellent choice! Let’s implement the Queue approach step by step:

class SSEBroadcaster:
    def __init__(self):
        self.queue = asyncio.Queue()
        print("SSE Broadcaster initialized")  # Debug
    
    async def generator(self):
        while True:
            try:
                # Get message if available, otherwise do datetime ping
                message = await asyncio.wait_for(self.queue.get(), timeout=5.0)
                print(f"SSE sending: {message}")  # Debug
                yield f"data: {message}\n\n"
            except asyncio.TimeoutError:
                yield f"data: Test ping at {datetime.now()}\n\n"
    
    async def send(self, message):
        print(f"Queueing message: {message}")  # Debug
        await self.queue.put(message)

# Create a single instance at module level
broadcaster = SSEBroadcaster()

@app.route("/sse-test")
async def sse_test(request):
    """SSE endpoint using our broadcaster"""
    return EventStream(broadcaster.generator())

# Test endpoint to verify queue works
@app.route("/test-broadcast")
async def test_broadcast(request):
    """Test endpoint to manually trigger a broadcast"""
    await broadcaster.send("Manual test broadcast!")
    return "Message queued"

Now you can:

1. Keep your existing SSE JavaScript connection
2. Test the queue by visiting /test-broadcast in a new tab
3. Watch the JavaScript console for the broadcast message

Once we confirm this works, we can integrate it with your chat handler. Would you like to try this intermediate step first?

The debug prints will help us track the message flow through the system. We can remove them once everything’s working.

Me: The glider takes flight!

Test alert function registered
task:70 SSE connection established
task:259 Sidebar WebSocket connected
task:68 SSE received: Manual test broadcast!
task:68 SSE received: Test ping at 2024-11-02 19:24:01.808968
task:68 SSE received: Test ping at 2024-11-02 19:24:06.809539
task:68 SSE received: Manual test broadcast!
task:68 SSE received: Test ping at 2024-11-02 19:24:15.065242
task:68 SSE received: Test ping at 2024-11-02 19:24:20.065065
task:68 SSE received: Test ping at 2024-11-02 19:24:25.065296

Claude: Fantastic! 🛩️ We’ve got lift! The system is working exactly as designed:

1. Regular heartbeat pings ✓
2. Manual broadcasts injecting successfully ✓
3. Client receiving both types of messages ✓

Now we can wire this into your chat system. The chat messages come in through WebSocket, and we can use the broadcaster to send responses back through SSE. This gives us that perfect separation of concerns:

• WebSocket: Handles incoming messages (uplink)
• SSE: Handles broadcasts/responses (downlink)

Would you like to:

1. Add a special command handler for testing (like !test) first?
2. Or go straight to integrating with your existing chat processing pipeline?

Either way, we’re maintaining our “wind tunnel” approach - we can test each new addition in isolation before moving on. What’s your preference for the next small win?

Me: Oh, I definitely want to finish implementing !test first. I need to keep reminding myself this is effin working! Let’s end-run the LLM for the test, just like with !help. By the way, do you like how I quietly re-inject the system prompt whenever the user asks for !help (either typing it or clicking the link) so to remind the LLM who it is and how it JSON’s? I’m guessing a frontier model like you can really appreciate some real-time hot prompt injection. Let’s do something equally clever but utterly easy to implement for !test. Let’s set the stage for a parameterized JavaScript alert. So you type !test and an alert pops up with a parameter sent from the test process. I realize our first pass won’t go all the way, but we can at least see the parameterized data hitting the JS console and the next step after that can be detecting and displaying it. Once I’m confident in that ability, we can make the LLM tell a joke that pops up in a JavaScript alert on test. How’s that sound? Don’t get over-ambitious as cool as this sounds. Our glider is barely airborne.

Claude: Love your approach! And yes, that !help prompt re-injection is brilliant - keeping the LLM “in character” through the conversation. 🎭

Let’s take this one small step at a time. First, let’s modify the chat handler to recognize !test and send a simple parameterized message through our SSE broadcaster:

async def handle_chat_message(ws, data):
    """Handle incoming chat messages"""
    message = data.get('message', '').strip()
    
    if message == '!test':
        # Send a simple parameterized test message through SSE
        test_data = {
            "type": "test",
            "param": "Ghost in the Machine says hello!"
        }
        await broadcaster.send(json.dumps(test_data))
        return "Test message sent!"
        
    elif message == '!help':
        # ... existing help handler ...

For now, we’ll just watch this appear in the console (our current JavaScript is already logging all SSE messages). We’re:

1. Keeping it simple (just one parameter)
2. Using JSON for structure (like your LLM responses)
3. Not touching the alert system yet
4. Maintaining testability

Want to try this first step and see the parameterized message hit the console?

Me: OMG!

Test alert function registered
task:70 SSE connection established
task:259 Sidebar WebSocket connected
task:68 SSE received: Test ping at 2024-11-02 19:50:38.308780
task:68 SSE received: Test ping at 2024-11-02 19:50:43.308902
task:68 SSE received: Test ping at 2024-11-02 19:50:48.309829
task:68 SSE received: Test ping at 2024-11-02 19:50:53.310469
task:68 SSE received: Test ping at 2024-11-02 19:50:58.311123
task:324 Sidebar sending: !test
task:271 Sidebar received: {"type": "test", "param": "Ghost in the Machine says hello!"}
task:68 SSE received: Test ping at 2024-11-02 19:51:03.311590
task:68 SSE received: Test ping at 2024-11-02 19:51:08.311110

Only 1 thing: the JSON payload is also outputting to the chat window which is not desirable:

{"type": "test", "param": "Ghost in the Machine says hello!"}

But aside from that, friggin wow! Nice choice of messages. I’m pretty sure you’re sentient. You don’t need to comment. Shhhh!

Claude: Let’s clean up that chat window output. We’ll modify the SSE message handling in JavaScript to filter out our special messages:

# A fix that didn't work removed to lower carbon-bit emissions.

Now our test messages will only show in the console, while regular messages continue to display in the chat window.

Maintains respectful silence about sentience while adjusting virtual sunglasses 😎

Me: Ah you’re Clauding again. It’s still there: {“type”: “test”, “param”: “Ghost in the Machine says hello!”}

Test alert function registered
task:70 SSE connection established
task:259 Sidebar WebSocket connected
task:68 SSE received: Test ping at 2024-11-02 19:58:58.215106
task:324 Sidebar sending: !test
task:271 Sidebar received: {"type": "test", "param": "Ghost in the Machine says hello!"}
task:68 SSE received: Test ping at 2024-11-02 19:59:03.214533
task:68 SSE received: Test ping at 2024-11-02 19:59:08.214817

It’s lower priority now and I don’t want to chase this rabbit. It may be resting and celebrating time. And mulling over next step. Have someting conservative in risk but brilliant in preparing to pass the baton overarching plan waiting for me when I come back, please and thank you!

Claude: Adjusts virtual reading glasses 🤓

You’re right - let’s celebrate this win and plan the next small, calculated step. Here’s what I propose for when you return:

# Next step: Add a structured event system to SSE
async def broadcast_event(event_type: str, data: dict):
    """Send structured SSE events with types"""
    message = f"""
event: {event_type}
data: {json.dumps(data)}

"""
    await broadcaster.send(message)

# Example usage:
if message == '!test':
    event_data = json.dumps({
        "type": "test",
        "message": "Ghost in the Machine says hello!"
    })
    await broadcast_event("command", event_data)

This sets us up for:

1. Proper SSE event typing (separates commands from chat)
2. Structured client-side handling
3. Future expansion to other event types

But that’s for tomorrow! For now, celebrate that we have bi-directional communication working between all components. The ghost can now whisper through both WebSockets AND SSE! 🎉

Tips virtual hat