diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..4a1c39c
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,5 @@
+fly.toml
+.git/
+__pycache__/
+.envrc
+.venv/
diff --git a/.gitignore b/.gitignore
index 4d81523..622e5ea 100644
--- a/.gitignore
+++ b/.gitignore
@@ -140,4 +140,22 @@ cython_debug/
 .history
 .DS_Store
 
-.vscode
\ No newline at end of file
+# You can create a .vscode/launch.json file to make debugging easier
+.vscode
+
+# Or for PyCharm:
+.idea/misc.xml
+.idea/modules.xml
+.idea/.gitignore
+.idea/inspectionProfiles/profiles_settings.xml
+.idea/summary_bot_opensource.iml
+
+
+# Your server config goes in static
+src/static/*
+src/static/summary-bot-firebase-credentials.json
+
+
+# Ignore debug log files
+summaries/*
+summaries.old
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 0000000..35eb1dd
--- /dev/null
+++ b/.idea/vcs.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/ARCHITECTURE.md b/ARCHITECTURE.md
new file mode 100644
index 0000000..80f8b06
--- /dev/null
+++ b/ARCHITECTURE.md
@@ -0,0 +1,89 @@
+Summary Bot Open Source
+
+This script is the main entry point for the Summary Bot, a Discord bot that provides various summarization functionalities using OpenAI's summarization capabilities. The bot also integrates with a Flask-based webhook server to handle external requests.
+
+Architecture:
+1. **Discord Bot**: The bot listens to events and commands on Discord servers.
+2. **Flask Webhook Server**: A Flask server runs in a separate thread to handle webhook requests.
+3. **Task Scheduler**: A task scheduler runs in a separate thread to manage background jobs.
+
+Execution Pathways:
+1. **Initialization**:
+    - Load environment variables using `dotenv`.
+    - Initialize the Discord bot with default intents.
+    - Create an instance of `OpenAISummarizer`.
+2. **Webhook Server**:
+    - Define a function `run_webhook` to start the Flask server.
+    - Run the Flask server in a separate thread to avoid blocking the bot.
+3. **Task Scheduler**:
+    - Define a function `queue_jobs` to manage background tasks.
+    - Run the task scheduler in a separate thread.
+4. **Discord Bot Events**:
+    - Define `on_ready` event to log bot readiness and accessible channels.
+    - Define `on_error` event to handle rate limits and other errors.
+5. **Discord Bot Commands**:
+    - Register various slash commands for summarization, settings, and bot information.
+    - Each command is linked to a corresponding function that implements the desired functionality.
+6. **Main Execution**:
+    - Start the Flask server for webhook handling.
+    - Run the Discord bot using the token from environment variables.
+    
+Diagrams:
+1. **Architecture Diagram**:
+    ```ascii
+    +-------------------+       +-------------------+
+    |                   |       |                   |
+    |   Discord Bot     |       |   Flask Webhook   |
+    |                   |       |                   |
+    +---------+---------+       +---------+---------+
+              |                           |
+              |                           |
+              +---------------------------+
+                          |
+                          |
+                +---------+---------+
+                |                   |
+                |  Task Scheduler   |
+                |                   |
+                +-------------------+
+    ```
+2. **Execution Flow**:
+    ```ascii
+    +-------------------+
+    |                   |
+    |   Main Script     |
+    |                   |
+    +---------+---------+
+              |
+              v
+    +---------+---------+
+    |                   |
+    |  Load Environment |
+    |                   |
+    +---------+---------+
+              |
+              v
+    +---------+---------+
+    |                   |
+    | Initialize Bot    |
+    |                   |
+    +---------+---------+
+              |
+              v
+    +---------+---------+       +-------------------+
+    |                   |       |                   |
+    | Start Webhook     |       | Start Task        |
+    | Server Thread     |       | Scheduler Thread  |
+    |                   |       |                   |
+    +---------+---------+       +---------+---------+
+              |                           |
+              v                           v
+    +---------+---------+       +---------+---------+
+    |                   |       |                   |
+    |  Run Bot Event    |       |  Queue Jobs       |
+    |  Loop             |       |                   |
+    |                   |       |                   |
+    +-------------------+       +-------------------+
+    ```
+This documentation provides an overview of the Summary Bot's architecture, execution pathways, and the services it integrates with. The diagrams illustrate the high-level structure and flow of the application.
+
diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md
new file mode 100644
index 0000000..7bcbb19
--- /dev/null
+++ b/CONTRIBUTORS.md
@@ -0,0 +1,4 @@
+* Arjun Sahlot - @ArjunSahlot
+* Martin Cleaver - @mrjcleaver (Added Tomasz' functions from discord-summarizer-bot, added external webhook implementation)
+  * The code from discord-summarizer-bot provided `process_channel()`. This was renamed `summarize_contents_of_channel_between_dates()` and the outputs placed in the context of the webhooks.
+* Tomasz Zmarz - @nybble16 - code at https://github.com/nybble16/discord-summarizer-bot
diff --git a/DEBUGGING.md b/DEBUGGING.md
new file mode 100644
index 0000000..ed736da
--- /dev/null
+++ b/DEBUGGING.md
@@ -0,0 +1,200 @@
+## Development
+Windows
+1. IDE Debugpy connection - connect directly in launch.json to docker-host:5678
+2. Logs - 
+
+## Production
+Windows
+1. Proxy ```fly proxy 5678:5678```
+2. Console ```fly console```
+  sh diagnostics/
+3. Console Logs 
+  ```fly logs``` or
+  +  [Fly Logs Dashboard](https://fly-metrics.net/d/fly-logs/fly-logs?from=now-1h&to=now&var-app=summary-bot-aparine&var-instance=All&orgId=1017766&var-query=) 
+4. Deploy ```fly deploy --build-arg INSTALL_DEV=true```
+5. Start https://fly.io/apps/summary-bot-aparine/machines 
+
+Note: https://github.com/microsoft/debugpy/issues/1252
+debugpy does not support IPV6. Fly.io only supports IPV6.
+
+The solution shown (and installed here) uses:
+1. fly proxy tunnelling between your dev machine and the remote container running your app
+2. bridges 6tunnel running on the remote container tunnelling between the inbound IPV6 traffic to the Python IPV4-only version of debugpy.
+
+
+
+
+
+READ THIS FIRST
+* Fly Env Var Precedence
+(!) Your fly.toml overrides the command line
+✅ fly.toml [env] (strongest)
+✅ Secrets (fly secrets)
+⚠️ --env on fly deploy (weakest — only works if nothing above exists)
+
+
+
+
+Easiest is to access the remote logs:
+
+``fly logs``
+
+
+Optional: Debug mode environment toggle
+To control debugpy at runtime, you can still pair this with a runtime ENV variable:
+
+``fly secrets set DEBUGPY_ENABLE=true ENV=development``
+
+
+Then attach your IDE’s remote debugger to localhost:5678.
+
+
+``fly proxy 5678:5678``
+
+
+Now let’s get **VS Code** to connect to the remote Python process running `debugpy`.
+
+---
+
+### ✅ 1. Make sure your app is listening for the debugger
+
+Somewhere early in your `main.py` (guarded by `DEBUGPY_ENABLE`), you should have:
+
+```python
+import debugpy
+debugpy.listen(("0.0.0.0", 5678))
+print("🪛 Waiting for debugger attach on port 5678...")
+# Optional — pause here until debugger is attached
+# debugpy.wait_for_client()
+```
+
+Then deploy with:
+```bash
+fly deploy --env DEBUGPY_ENABLE=true
+```
+
+---
+
+### ✅ 2. Create a VS Code debug config
+
+Open your `.vscode/launch.json` (or create one), and add this:
+
+```json
+{
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "Attach to Fly Remote",
+      "type": "python",
+      "request": "attach",
+      "connect": {
+        "host": "localhost",
+        "port": 5678
+      },
+      "pathMappings": [
+        {
+          "localRoot": "${workspaceFolder}",
+          "remoteRoot": "/app"
+        }
+      ],
+      "justMyCode": false
+    }
+  ]
+}
+```
+
+#### 🔍 Explanation
+* `host: "localhost"` — thanks to `fly proxy`, this connects to your remote app.
+* `port: 5678` — where `debugpy` is listening.
+* `remoteRoot: "/app"` — this is the working dir in your Docker image (`WORKDIR /app`).
+* `localRoot: "${workspaceFolder}"` — your local VS Code project path.
+
+---
+
+### ✅ 3. Attach the debugger
+
+1. In VS Code, open the Run & Debug panel.
+2. Choose **"Attach to Fly Remote"**.
+3. Click the green ► start button.
+4. 🎯 Your app should pause if it’s running `debugpy.wait_for_client()` — or you can add breakpoints.
+
+--
+
+Check the remote machine
+`` printenv | egrep 'ENV|FLY_MACHINE_ID|DEBUG'``
+FLY_MACHINE_ID=2874577c072558
+DEBUGPY_ENABLE=false
+ENV=production
+
+I did this:
+(.venv) PS summary_bot_opensource>``fly deploy --build-arg INSTALL_DEV=true --env DEBUGPY_ENABLE=true --env ENV=development``
+
+But see this:
+```
+root@2874577c072558:/app# printenv | egrep 'ENV|FLY_MACHINE_ID|DEBUG'
+FLY_MACHINE_ID=2874577c072558
+DEBUGPY_ENABLE=false
+ENV=production
+```
+
+This is a quirk in Fly.io: **`--env` flags in `fly deploy` don’t override existing env vars that are already set as secrets or in your `fly.toml`**.
+
+That means:
+* You probably have `DEBUGPY_ENABLE=false` and `ENV=production` **defined in `fly.toml` or as Fly secrets**.
+* These override anything passed via `--env` on deploy.
+
+---
+
+### ✅ Fix Options
+
+#### 🔧 **Option 1: Update your `fly.toml` for dev builds**
+Edit `fly.toml` to temporarily override those vars:
+
+```toml
+[env]
+ENV = "development"
+DEBUGPY_ENABLE = "true"
+```
+
+Then just:
+```bash
+fly deploy --build-arg INSTALL_DEV=true
+```
+
+After you're done debugging, revert the `fly.toml` changes.
+
+---
+
+#### 🔧 **Option 2: Use `fly secrets unset` and let `--env` work**
+
+If you've previously set those as secrets (check with `fly secrets list`), remove them:
+
+```bash
+fly secrets unset DEBUGPY_ENABLE ENV
+```
+
+Then redeploy with:
+```bash
+fly deploy --build-arg INSTALL_DEV=true --env DEBUGPY_ENABLE=true --env ENV=development
+```
+
+Now `--env` will work as expected since nothing is overriding it.
+
+---
+
+### 🔍 How to confirm
+After redeploying, SSH into the instance:
+
+```bash
+fly ssh console
+printenv | egrep 'DEBUG|ENV'
+```
+
+You should see:
+
+```bash
+DEBUGPY_ENABLE=true
+ENV=development
+```
+
+---
diff --git a/DEPLOY.md b/DEPLOY.md
new file mode 100644
index 0000000..c7b581a
--- /dev/null
+++ b/DEPLOY.md
@@ -0,0 +1,66 @@
+## Setting up 
+I'm on a Windows 11 machine.
+You can use open-fly-env.ps1 to open the various windows.
+.env contains secrets
+
+## Deploying to Docker on my LAN
+ Currently I have a Docker / Portainer instance inside Proxmox on an enterprise-grade laptop.
+ It is unaccessible from the internet. I leave it on 24/7.
+
+Laptop:
+* bin/deploy-to-docker-host.sh (uses docker-compose) 
+
+Proxmox console:
+* Enter docker-host: pct enter 100 
+* Enter docker container: docker exec -it summary_bot_opensource-summary-bot-1 /bin/bash 
+
+## Required Secrets
+These go in your .env file
+* DISCORD_TOKEN
+* OPENAI_API_KEY
+* DOCKER_HOST
+
+## Deploying to Fly.io (Future use)
+This is something I don't do at present.
+
+These commands can be opened in seperate command shells by running ``bin\open-fly-env.ps1`
+```shell
+fly apps create summary-bot-1
+fly deploy --build-arg INSTALL_DEV=true
+fly ext sentry create
+```
+
+Run the machine from e.g. https://fly.io/apps/summary-bot-aparine/machines/48eddeef724d08
+
+``.\fly-set-secrets.ps1`` 
+
+### To Debug 
+```shell
+fly secrets set DEBUGPY_ENABLE=true
+```
+
+Bonus: Secure fly proxy to debug
+On your local machine:
+
+```bash
+fly proxy 5678:5678
+```
+
+Then attach your IDE’s remote debugger to localhost:5678.
+
+## Configuration in fly.toml:
+
+* build.args.INSTALL_DEV = "false": Tells Fly's remote builder not to install dev dependencies unless overridden during deploy.
+* env.DEBUGPY_ENABLE = "false": Prevents debugpy from starting by default.
+* env.DEBUGPY_WAIT = will wait for the debugger to connect (hint: don't forget to proxy it)
+
+The second [[services]] block exposes port 5678 internally, not publicly, so you can attach via fly proxy.
+
+### Temporarily enable debugging (from CLI)
+ To deploy with debugging enabled: 
+
+````
+fly deploy --build-arg INSTALL_DEV=true \
+ --env DEBUGPY_ENABLE=true \
+ --env ENV=development
+````
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..49a9674
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,73 @@
+#### Dockerfile for Python application with Poetry and optional dev dependencies
+# This Dockerfile builds a Python application using Poetry for dependency management.
+# It allows for the installation of development dependencies and includes a script to set up a tunnel for IPv6 IDE debugging.
+
+FROM python:3.11 AS builder
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1
+
+WORKDIR /app
+ARG INSTALL_DEV=false
+
+# Install Poetry
+RUN pip install "poetry>=1.2.0"
+
+# Configure Poetry to install dependencies in the project directory
+RUN poetry config virtualenvs.in-project true
+
+
+# Copy dependency files
+COPY pyproject.toml poetry.lock ./
+
+
+# Install dependencies conditionally using pyproject.toml's dev-dependencies
+RUN if [ "$INSTALL_DEV" = "true" ]; then \
+        poetry install --no-interaction --no-ansi --no-root --with dev; \
+    else \
+        poetry install --no-interaction --no-ansi --no-root; \
+    fi
+
+# Prevent discord.__init__.py from trying to extend namespace via pkgutil
+# This is a workaround for an issue with discord.py and Poetry
+RUN sed -i '/extend_path/d' .venv/lib/python3.11/site-packages/discord/__init__.py
+
+
+#### FINAL IMAGE ####
+# Slim runtime image
+FROM python:3.11-slim
+
+# Accept a  argument to include dev dependencies during runtime
+ARG INSTALL_DEV=false
+
+
+WORKDIR /app
+
+RUN if [ "$INSTALL_DEV" = "true" ]; then \
+        apt-get update && apt-get install -y 6tunnel; \
+        rm -rf /var/lib/apt/lists/* && \
+        which 6tunnel; \
+    fi
+
+# Copy the virtual environment and application code
+COPY --from=builder /app/.venv .venv/
+COPY . .
+COPY src/static/beaverworx_payload.json src/static/beaverworx_payload.json
+
+COPY entrypoint.sh /entrypoint.sh
+RUN chmod +x /entrypoint.sh
+
+RUN if [ "$INSTALL_DEV" = "true" ]; then \
+        /app/bin/tunnel-pydev-for-ipv6.sh && echo "tunnel-pydev-for-ipv6.sh executed"; \
+    fi
+
+COPY bin/debugpy-connections-test.py /app/bin/debugpy-connections-test.py
+RUN chmod +x /app/bin/debugpy-connections-test.py
+
+
+# Set the virtual environment path
+ENV PATH="/app/.venv/bin:$PATH"
+
+
+CMD ["/entrypoint.sh"]
diff --git a/README.md b/README.md
index 7e9e2a6..32253ea 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,166 @@
 Last update: 1/13/2025
 
 # Summary Bot - Opensource
-Summary Bot's code, opensourced. This is a distinct repository from the one in active development as we have loads of private information saved in git history.
+Summary Bot's code. This branch is refactored and documented. 
+
+This branch contains elements of  `discord-summarizer-bot`, another bot designed to provide concise summaries of channel conversations using OpenAI's GPT-4. 
+
+
+## Features
+
+* Summarizes Discord channel messages in response to user commands or a REST API call.
+* Using its scheduler, can summarize future or past periods
+* Uses OpenAI's GPT-4 for accurate and coherent summaries.
+* Easy to deploy and use within any Discord server.
+
+Interactive Use
+* TODO: outline summary_bot's features as listed on https://top.gg/bot/1058568749076185119
+
+
+
+Webhook Use:
+* The server will respond to incoming requests to send a response to a target webhook.
+* We use this to create summaries of discord content onto a remote Confluence server as a new page or blog post.
+
+## Installation
+
+To install and run `discord-summarizer-bot` on your server, follow these steps:
+
+1. Clone the repository:
+   ```bash
+
+   git clone https://github.com/ArjunSahlot/summary_bot_opensource.git
+   ```
+2. Install the required dependencies:
+   ```bash
+
+   cd summary_bot_opensource
+   pip install poetry
+   poetry install
+   ```
+3. To get your `summary_bot_opensource` up and running, you'll need to configure your API keys as follows:
+   1. OpenAI API Key 
+      - Go to [OpenAI's API platform](https://beta.openai.com/signup/) and sign up for an account if you haven't already. 
+      - Once you have an account, navigate to the API section and generate a new API key. 
+      - Set the API key as an environment variable:
+        ```bash
+        export OPENAI_API_KEY='your_openai_api_key'
+   2. Discord Bot Token
+      - Head over to the [Discord Developer Portal](https://discord.com/developers/applications).
+      - Create a new application and add a bot to it.
+      - Under the "Bot" section, find and copy your bot token.
+      - Set the token as an environment variable:
+         ```bash
+         export DISCORD_TOKEN='your_discord_bot_token'
+4. Confirm that the environment variables are set up:
+    - `OPENAI_API_KEY`: Your OpenAI API key.
+    - `DISCORD_TOKEN`: Your Discord bot token.
+
+5. Run the bot:
+   ```bash
+   python bot.py
+
+## Usage
+
+See https://top.gg/bot/1058568749076185119
+
+
+## Webhook Usage
+
+The webhook is useful where you want the summary to somewhere elsewhere than Discord. Our use case was to summarize to Atlassian Confluence, however we rolled back formatting for Confluence as it is able to display embedded markdown.
+
+In Zapier
+* Create a Zap
+* Component 1:
+ * Webhook
+ * Get the Catch URL, e.g. "https://hooks.zapier.com/hooks/catch/1111/2f3l111/"
+* Component 2:
+ * Whatever you like, e.g. post to another target. e.g. a Discord channel webhook, or whatever 
+
+In test
+* Copy src/static/webhook-server-example.json your-example.json
+* Edit  
+
+```json
+{
+    "bot_webhook_server": "http://localhost:5000/webhook",
+
+    "guild_ids": ["your guild"],
+    "channels_to_include": [
+        "general", "elec-general", "mech-general", "programming-general"
+    ],
+    "channels_to_exclude": [],
+    "time_period": "5d",
+    "starttime_to_summarize": "2025-02-10",
+    "endtime_to_summarize": "2025-02-15",
+
+    "diagnostic_channel_id": 1332451557530402877,
+    "target_webhook": "https://hooks.zapier.com/hooks/catch/11111/11111/",
+    "ai_prompts" : {
+        "formatting_instructions": "Format my answer in HTML suitable for Atlassian Confluence Cloud. This includes never using ** to mark bold. Always use HTML to replace it if you see that in the text. Always check to make sure your output is well formatted. Keep any links to Discord messages",
+        "context_prompt": "I’d like to ask you for a summary of a chat conversation. First, I will provide you with the context of the conversation so that you can better understand what it’s about, and then I will write the continuation, for which I will ask you to summarize and highlight the most important points. Include any links to Discord channels. Here is the context:",
+        "recent_messages_prompt": "Now, please summarize the following conversation, using a h2 headers and a list of one level of nested bullet points whenever that makes sense. Pay attention to technical and design details. Highlight the most important elements or terms in bold. Include any links to Discord channels. Don't repeat the details of the conversation. Ignore people thanking each other. If I gave you no conversation points just say 'no messages in the time period'."
+    }
+        
+}
+```
+Notes:
+* endtime_to_summarize defaults to now
+* either starttime_to_summarize or time_period is needed. The default time_period is 1d
+
+
+
+## Contributing
+
+Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.
+
+If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
+
+
+
+## License
+
+Distributed under the MIT License. See `LICENSE` for more information.
+
+
+## Acknowledgments
+
+- [OpenAI](https://openai.com/)
+- [Discord.py](https://github.com/Rapptz/discord.py)
+- [discord-summarizer-bot](https://github.com/nybble16/discord-summarizer-bot)
+
+
+## Testing
+
+You can test for free manually, rather than using Zapier. 
+
+In a command window
+``` powershell
+cd test
+python.exe call-webhook1.py src/static/your-example.json
+```
+
+Expected results
+* the channel number in your-example.json should be notified with the summary message
+* any target_webhook should be called with the summary message
+
+
+
+## Developing and Debugging
+
+In vscode:
+* create a launch.json file
+```json
+ "env": {
+                "OPENAI_API_KEY": "",
+                "DISCORD_TOKEN" : ""
+            } 
+```
+* select main.py
+* start debugger
+
+
+
+## Diagnosis
+* Increase the logging levels.
+* summary_for_webhook is capable of writing a file per channel being summarized if you want to check it working. These files will be written to `summaries/`
\ No newline at end of file
diff --git a/TODO.md b/TODO.md
new file mode 100644
index 0000000..c54d2e9
--- /dev/null
+++ b/TODO.md
@@ -0,0 +1,49 @@
+*Notes on the code merger - 2025-02-17*
+
+Arjun:
+
+The two code bases principally touch in main.py. From there they go their separate ways. 
+
+The code for your summaries uses:
+* `main.py` -> bot.slash_command 
+           -> (summary.py) summary(), fromtosummary() or unreadsummary()
+
+The code for webhook summaries uses:
+* `main.py` -> wires `summary_for_webhook()` into a Flask controlled by `webhook.py`
+            -> (history.py) `summarize_contents_of_channel_between_dates()`  uses `get_channel_messages()` followed by progressive calls to `get_summary_from_ai()`. To minimize costs, call return values are cached in the LRUCache.
+            `
+            `webhook.py` `webhook()` receives the POST and will forward the response (and embedded request) using `send_message_to_webhook()` according to the values in the incoming payload
+
+
+
+
+
+*Refactoring* 
+Your code could use summarize_contents_of_channel_between_dates in the sections for collection from history:
+```
+ async for message in channel.history(limit=None):
+        if first:
+            first = False
+            continue
+
+        history.append(message)
+
+        if len(history) == messages:
+            break
+```
+
+Line #88-96 (summary)
+Line #168-183 (fromtosummary)
+Line #205-222 (unreadsummary)
+
+If so, the hardcoded html would need reworking (e.g. line #26 of history.py)
+
+
+My code has global values for:
+* OPEN API KEY
+ * Currently an environment varible
+ * I'm thinking this could be passed in the incoming payload (and omitted outbound)
+* context_lookback_days
+ * the context window provides background info to aid with interpretation in addition to the period being summarized
+ * Set to 5, but already can be provided in the payload
+* Some HTML in response strings (for things like headers)
diff --git a/bin/check-pydev-logs.py b/bin/check-pydev-logs.py
new file mode 100644
index 0000000..93cbca4
--- /dev/null
+++ b/bin/check-pydev-logs.py
@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+
+import re
+import logging
+from pathlib import Path
+
+logging.basicConfig(level=logging.INFO, format="%(message)s")
+
+def find_debugpy_logs(log_dir="/tmp"):
+    log_dir = Path(log_dir)
+    pattern = re.compile(r"debugpy\.(adapter|launcher)-.*\.log")
+    return [f for f in log_dir.iterdir() if f.is_file() and pattern.match(f.name)]
+
+def highlight_headers(lines):
+    header_lines = []
+    capturing = False
+
+    for line in lines:
+        if b'GET / HTTP/1.1' in line or b'Host:' in line or b'User-Agent:' in line:
+            capturing = True
+        if capturing:
+            if line.strip() == b'':
+                break
+            header_lines.append(line.decode(errors='replace').strip())
+
+    return header_lines
+
+def summarize_log_file(filepath, max_tail=20):
+    logging.info(f"\n📄 Analyzing: {filepath.name}")
+    try:
+        with open(filepath, "rb") as f:
+            lines = f.readlines()
+    except Exception as e:
+        logging.error(f"❌ Failed to read {filepath}: {e}")
+        return
+
+    if not lines:
+        logging.info("⚠️ Empty log file.")
+        return
+
+    log_text = b''.join(lines).decode(errors='replace')
+
+    # Highlight common events
+    if "Client[" in log_text:
+        connect_count = log_text.count("Accepted incoming Client connection")
+        disconnect_count = log_text.count("has disconnected")
+
+        logging.info(f"🔌 Client connections: {connect_count}")
+        logging.info(f"🔌 Client disconnections: {disconnect_count}")
+
+    if "Content-Length is missing" in log_text:
+        logging.warning("🚨 Missing Content-Length (likely browser hit or bad attach)")
+
+    if "GET / HTTP/1.1" in log_text:
+        logging.warning("🌐 Looks like an HTTP request hit debugpy (maybe a browser?)")
+
+        # Show headers
+        headers = highlight_headers(lines)
+        if headers:
+            logging.info("\n📬 HTTP-like client headers:")
+            for line in headers:
+                logging.info("  " + line)
+
+    # Show tail
+    logging.info(f"\n🔚 Last {max_tail} lines:")
+    for line in lines[-max_tail:]:
+        logging.info("  " + line.decode(errors='replace').strip())
+
+def main():
+    logging.info("🔍 Scanning for debugpy logs in /tmp...\n")
+    log_files = find_debugpy_logs("/tmp")
+
+    if not log_files:
+        logging.warning("⚠️ No debugpy log files found in /tmp.")
+        return
+
+    for log_file in sorted(log_files):
+        summarize_log_file(log_file)
+
+if __name__ == "__main__":
+    main()
diff --git a/bin/debugpy-connections-test.py b/bin/debugpy-connections-test.py
new file mode 100644
index 0000000..16097f9
--- /dev/null
+++ b/bin/debugpy-connections-test.py
@@ -0,0 +1,147 @@
+#! /usr/bin/env/python
+"""
+# connections.py - A script to inspect TCP connections for 6tunnel tunneling between IPv4 and IPv6 for debugpy.
+#
+# This script checks the TCP connections for debugpy and 6tunnel, interpreting their states and logging the results.
+# It is designed to be run on a Linux system with access to the /proc/net/tcp and /proc/net/tcp6 files.
+# The script requires root privileges to access these files.
+#
+# Usage:    python connections.py
+#           python connections.py --port_v4 6679 --port_v6 5678 
+#           python connections.py --port_v4 5678 --port_v6 5678
+# """
+
+
+import logging
+import socket
+import sys
+import os
+
+logging.basicConfig(level=logging.INFO)
+
+logging.info(f"Python executable: {sys.executable}")
+logging.info(f"sys.path: {sys.path}")
+
+
+def hex_to_ip(hex_ip):
+    bytes_ip = [int(hex_ip[i:i + 2], 16) for i in (6, 4, 2, 0)]
+    return ".".join(map(str, bytes_ip))
+
+
+def hex_to_ipv6(hex_ip):
+    return socket.inet_ntop(socket.AF_INET6, bytes.fromhex(hex_ip))
+
+
+def hex_to_port(hex_port):
+    return int(hex_port, 16)
+
+
+def decode_tcp_state(state_hex):
+    tcp_states = {
+        '01': 'ESTABLISHED',
+        '02': 'SYN_SENT',
+        '03': 'SYN_RECV',
+        '04': 'FIN_WAIT1',
+        '05': 'FIN_WAIT2',
+        '06': 'TIME_WAIT',
+        '07': 'CLOSE',
+        '08': 'CLOSE_WAIT',
+        '09': 'LAST_ACK',
+        '0A': 'LISTEN',
+        '0B': 'CLOSING'
+    }
+    return tcp_states.get(state_hex.upper(), f"UNKNOWN ({state_hex})")
+
+
+def parse_tcp_file(path, hex_port, is_ipv6=False):
+    found = {
+        'LISTEN': False,
+        'ESTABLISHED': 0,
+        'CLOSE_WAIT': 0,
+        'other': []
+    }
+
+    try:
+        with open(path) as f:
+            next(f)  # Skip header
+            for line in f:
+                cols = line.strip().split()
+                local_address, remote_address, state = cols[1], cols[2], cols[3]
+                local_ip_hex, local_port_hex = local_address.split(':')
+
+                if local_port_hex.upper() == hex_port:
+                    remote_ip_hex, remote_port_hex = remote_address.split(':')
+                    local_ip = hex_to_ipv6(local_ip_hex) if is_ipv6 else hex_to_ip(local_ip_hex)
+                    remote_ip = hex_to_ipv6(remote_ip_hex) if is_ipv6 else hex_to_ip(remote_ip_hex)
+                    remote_port = hex_to_port(remote_port_hex)
+                    state_desc = decode_tcp_state(state)
+
+                    if state_desc == 'LISTEN':
+                        found['LISTEN'] = True
+                    elif state_desc == 'ESTABLISHED':
+                        found['ESTABLISHED'] += 1
+                    elif state_desc == 'CLOSE_WAIT':
+                        found['CLOSE_WAIT'] += 1
+                    else:
+                        found['other'].append(state_desc)
+
+                    logging.info(f"🔗 {state_desc}: {remote_ip}:{remote_port} → {local_ip}:{hex_to_port(hex_port)}")
+    except OSError as e:
+        logging.error(f"Failed reading {path}: {e}")
+        return found
+
+    return found
+
+
+def interpret_connections(port_v4=6679, port_v6=5678):
+    logging.info("🔍 Inspecting debugpy/6tunnel connection status")
+
+    hex_v4 = f"{int(port_v4):04X}"
+    hex_v6 = f"{int(port_v6):04X}"
+
+    logging.info(f"🌐 Checking IPv4 (/proc/net/tcp) for port {port_v4} (hex {hex_v4})")
+    result_v4 = parse_tcp_file("/proc/net/tcp", hex_v4, is_ipv6=False)
+
+    logging.info(f"🌐 Checking IPv6 (/proc/net/tcp6) for port {port_v6} (hex {hex_v6})")
+    result_v6 = parse_tcp_file("/proc/net/tcp6", hex_v6, is_ipv6=True)
+
+    # Interpretation logic
+    if result_v4['LISTEN']:
+        logging.info(f"✅ debugpy is listening on 127.0.0.1 (port {port_v4})")
+    else:
+        logging.warning("❌ debugpy is NOT listening on 127.0.0.1")
+
+    if result_v6['LISTEN']:
+        logging.info(f"✅ 6tunnel is listening on [::] (port {port_v6})")
+    else:
+        logging.warning(f"❌ 6tunnel is NOT listening on port {port_v6} (check tunnel setup)")
+
+    if result_v6['ESTABLISHED'] >= 1:
+        logging.info("🎯 VS Code (or another client) is CONNECTED via IPv6 tunnel ✅")
+    else:
+        logging.warning(f"⚠️ No active client connection detected via IPv6 (port {port_v6})")
+
+    if result_v4['ESTABLISHED'] >= 1:
+        logging.info("🧠 debugpy has an ACTIVE debugger session!")
+    else:
+        logging.warning(f"⚠️ debugpy is waiting for a debugger (no ESTABLISHED connection on port {port_v4})")
+
+
+# Run it
+
+if __name__ == "__main__":
+    logging.info("🔍 Starting connection interpreter")
+    # Check if the script is run with root privileges
+    if os.geteuid() != 0:
+        logging.error("❌ This script must be run as root to access /proc/net/tcp and /proc/net/tcp6")
+        sys.exit(1)
+
+    # Call the function to interpret connections
+    logging.info(os.environ.get("DEBUGPY_PORT"))
+    # interpret_connections(port_v4=6679, port_v6=5678)
+
+    logging.info("\nChecking for normal debugpy connections")
+    interpret_connections(port_v4=5678, port_v6=5678)
+
+#    logging.info("\nChecking for 6tunnel-based IPV6 to IPV4 tunneled connections")
+#    interpret_connections(port_v4=6679, port_v6=5678)
diff --git a/bin/deploy-to-docker-host.sh b/bin/deploy-to-docker-host.sh
new file mode 100644
index 0000000..2fefe41
--- /dev/null
+++ b/bin/deploy-to-docker-host.sh
@@ -0,0 +1,24 @@
+#!/bin/bash -xv
+pwd
+
+if [ -f ".env" ]; then
+    echo "Loading environment variables from .env file"
+else
+    echo ".env file not found, error."
+    exit 1
+fi
+. ./.env
+
+if [ -n "$DOCKER_HOST" ]; then
+    echo "DOCKER_HOST is set to $DOCKER_HOST"
+else
+    echo "DOCKER_HOST is not set, error."
+    exit 1
+fi
+
+set -xv
+NOCACHE="--no-cache"
+# --no-cache can be used to force a rebuild of the image without using any cached layers.
+docker compose -f docker-compose.yaml --env-file .env build  $NOCACHE
+docker compose -f docker-compose.yaml --env-file .env up -d 
+docker compose logs -f
\ No newline at end of file
diff --git a/bin/diagnose_debugpy_logs.py b/bin/diagnose_debugpy_logs.py
new file mode 100644
index 0000000..e69de29
diff --git a/bin/fly-env-check.sh b/bin/fly-env-check.sh
new file mode 100644
index 0000000..fb059fe
--- /dev/null
+++ b/bin/fly-env-check.sh
@@ -0,0 +1,27 @@
+#!/bin/bash
+
+# Ensure Fly machines auto-bridge IPv6 → IPv4 for debugpy.
+# This is necessary in IPV6 because debugpy does not support IPv6 and fly.io only supports IPV6.
+# It's somewhat buggy though.
+
+
+printenv | egrep 'ENV|FLY_MACHINE_ID|DEBUG|PYDEVD_DISABLE_FILE_VALIDATION'
+
+# TODO explain PYDEVD_DISABLE_FILE_VALIDATION should be 1 if I'm debugging with an IDE.
+
+apt-get update 
+
+apt-get install -y net-tools iproute2;
+apt-get install -y tcpdump
+apt-get install -y 6tunnel
+apt-get install -y netcat-openbsd
+
+
+tcpdump -n port 5678
+nc -l 6679
+
+
+ss -tnlp # 5678 and 8080 should be open
+echo 5678 is the port that the debugger listens on
+echo 8080 is the port that the web server listens on   
+
diff --git a/bin/fly-set-secrets.ps1 b/bin/fly-set-secrets.ps1
new file mode 100644
index 0000000..e173ee2
--- /dev/null
+++ b/bin/fly-set-secrets.ps1
@@ -0,0 +1,54 @@
+# This powershell script sets Fly.io secrets using environment variables set up in the Linux formatted .env file.
+# Dependencies: setenv.ps1 - Script to set required environment variables
+
+$envFilePath = "../.env"
+
+# Check if the .env file exists
+if (!(Test-Path -Path $envFilePath)) {
+  Write-Error "Required .env file not found at $envFilePath. Please create this file with your environment variables."
+  exit 1
+}
+
+# Read and parse the .env file
+Get-Content -Path $envFilePath | ForEach-Object {
+  # Ignore empty lines and comments
+  if ($_ -match "^\s*#|^\s*$") { return }
+
+  # Parse key-value pairs
+  if ($_ -match "^\s*([^=]+)\s*=\s*(.+)\s*$") {
+      $key = $matches[1].Trim()
+      $value = $matches[2].Trim()
+
+      # Remove quotes if present
+      $value = $value -replace '^"|"$', ''
+
+      # Set the environment variable
+      [System.Environment]::SetEnvironmentVariable($key, $value, [System.EnvironmentVariableTarget]::Process)
+  }
+}
+
+if (-not $env:DISCORD_TOKEN) {
+    throw "Environment variable DISCORD_TOKEN is not set. Aborting script."
+}
+
+if (-not $env:OPENAI_API_KEY) {
+    throw "Environment variable OPENAI_API_KEY is not set. Aborting script."
+}
+
+fly secrets set `
+  FLASK_APP="src/main.py" `
+  DISCORD_TOKEN="$env:DISCORD_TOKEN" `
+  OPENAI_API_KEY="$env:OPENAI_API_KEY"
+
+  if ($LASTEXITCODE -ne 0) {
+       Write-Error "Failed to set Fly.io secrets. Make sure you're logged in to Fly.io."
+       exit 1
+  }
+
+
+fly secrets list
+  if ($LASTEXITCODE -ne 0) {
+     Write-Error "Failed to list Fly.io secrets. Make sure you're logged in to Fly.io."
+     exit 1
+  }
+  
\ No newline at end of file
diff --git a/bin/open-fly-env.ps1 b/bin/open-fly-env.ps1
new file mode 100644
index 0000000..7d674d3
--- /dev/null
+++ b/bin/open-fly-env.ps1
@@ -0,0 +1,25 @@
+$basePath = "$env:HOMEDRIVE$env:HOMEPATH\DevProjects\summary_bot_opensource"
+
+function Start-NewWindow {
+    param (
+        [string]$Title,
+        [string]$Command
+    )
+
+    $scriptBlock = @"
+`$host.ui.RawUI.WindowTitle = '$Title'
+Set-Location -Path '$basePath'
+$Command
+pause
+"@
+
+    Start-Process powershell.exe -ArgumentList "-NoExit", "-Command", $scriptBlock
+}
+
+Start-NewWindow -Title "0. Local Deploy" -Command "Write-Host wsl deploy-to-local-docker.sh --build-arg INSTALL_DEV=true"
+Start-NewWindow -Title "1. Fly Proxy" -Command "Write-Host fly proxy 5678:5678"
+Start-NewWindow -Title "2. Fly Console" -Command "fly console; Set-Location diagnostics"
+Start-NewWindow -Title "3. Fly Logs" -Command "fly logs"
+Start-NewWindow -Title "4. Fly Deploy" -Command "Write-Host fly deploy --build-arg INSTALL_DEV=true"
+Start-NewWindow -Title "5. Open Machines" -Command "Start-Process 'https://fly.io/apps/summary-bot-aparine/machines'"
+Start-NewWindow -Title "Fly Local Shell" -Command "Write-Host 'Ready for commands...'"
diff --git a/bin/tunnel-pydev-for-ipv6.sh b/bin/tunnel-pydev-for-ipv6.sh
new file mode 100644
index 0000000..27fdbca
--- /dev/null
+++ b/bin/tunnel-pydev-for-ipv6.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+# This script is used if you want to manually set up a 6tunnel to bridge IPv6 to IPv4 for debugpy.
+
+
+apt-get update && apt-get install -y 6tunnel
+6tunnel -6 -l :: 5678 127.0.0.1 5678
diff --git a/docker-compose.yaml b/docker-compose.yaml
new file mode 100644
index 0000000..34b2a38
--- /dev/null
+++ b/docker-compose.yaml
@@ -0,0 +1,31 @@
+
+services:
+  summary-bot:
+    build:
+      context: .
+      args:
+        INSTALL_DEV: "true"
+    environment:
+      ENV: "development"
+      DEBUGPY_LOG_DIR: "/tmp/debugpy"
+      DEBUGPY_ENABLE: "true"
+      DEBUGPY_WAIT: "true"
+      PYDEVD_DISABLE_FILE_VALIDATION: "1"
+      OPENAI_API_KEY: "${OPENAI_API_KEY}"
+      DISCORD_TOKEN: "${DISCORD_TOKEN}"
+      DEBUGPY_SERVER: 0.0.0.0
+      DEBUGPY_PORT: 5678
+      WEBHOOK_LISTEN_SERVER: 0.0.0.0
+      WEBHOOK_LISTEN_PORT: 8080
+
+    ports:
+      - "8080:8080"    # Web service
+      - "5678:5678"    # Debugpy (IDE debugger)
+    #volumes:
+    #  - /app-live:/app         # Optional for live development
+    command: /entrypoint.sh
+    deploy:
+      resources:
+        limits:
+          cpus: "1.0"
+          memory: "2048M"
diff --git a/entrypoint.sh b/entrypoint.sh
new file mode 100644
index 0000000..8b4ff77
--- /dev/null
+++ b/entrypoint.sh
@@ -0,0 +1,29 @@
+#! /bin/bash
+
+# Ensure Fly machines auto-bridge IPv6 → IPv4 for debugpy.
+
+set -xv
+
+rm -f 6tunnel.pid
+if [ -n "$DEBUGPY_TUNNEL" ]; then
+    echo    "DEBUGPY_TUNNEL is set, running 6tunnel to bridge IPv6 to IPv4 for debugpy."
+    echo    "This is necessary in IPV6 because debugpy does not support IPv6 and fly.io only supports IPV6."
+
+    # See https://github.com/microsoft/debugpy/issues/1252
+    6tunnel -6 -l :: 5678 127.0.0.1 6679 -p 6tunnel.pid &
+    export DEBUGPY_PORT=6679 #this will be used by debugpy instead of 5678 in debugpy.py
+else
+    echo    "DEBUGPY_TUNNEL is not set, skipping 6tunnel."  
+fi
+
+
+# We don't need to explictly activate a virtual environment as the python binary is one supplied by the virtual environment.
+# The virtual environment is created in the Dockerfile and the python binary is used from there.
+#source /app/.venv/bin/activate
+
+env
+
+# Run the application using the virtual environment (python is using venv's poetry)
+# TODO  make frozen_modules dependent on the environment INSTALL_DEV using an external script 
+python -Xfrozen_modules=off -m src.main
+
diff --git a/fly.toml b/fly.toml
new file mode 100644
index 0000000..dd48917
--- /dev/null
+++ b/fly.toml
@@ -0,0 +1,60 @@
+# fly.toml app configuration file generated on 2025-03-24T20:44:59-04:00
+#
+# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
+#
+
+app = 'summary-bot-aparine'
+primary_region = 'yyz'
+
+[build]
+# Add build args to toggle dev dependencies
+
+[build.args]
+  INSTALL_DEV = "true"
+
+[env]
+# Note - this overrides *even anything passed on the command line* # GOTCHA
+  ENV = "development"
+  DEBUGPY_ENABLE = "true"
+  DEBUGPY_WAIT = "true"
+  PYDEVD_DISABLE_FILE_VALIDATION = "1"
+
+[[services]]
+  internal_port = 8080
+  protocol = "tcp"
+
+  [[services.ports]]
+    handlers = ["http"]
+    port = 80
+
+  [[services.ports]]
+    handlers = ["tls", "http"]
+    port = 443
+
+# Optional: expose the debug port only when you're debugging
+[[services]]
+  # Optional debugpy service port
+  internal_port = 5678
+  protocol = "tcp"
+
+  [[services.ports]]
+    # Don't expose this port publicly by default
+    port = 5678
+    handlers = []
+
+  [[services.tcp_checks]]
+    grace_period = "30s"
+    interval = "15s"
+    timeout = "2s"
+
+[http_service]
+  internal_port = 8080
+  auto_stop_machines = 'off'
+  auto_start_machines = true
+  min_machines_running = 0 # TODO - change this
+  processes = ['app']
+
+[[vm]]
+  memory = '2gb'
+  cpu_kind = 'shared'
+  cpus = 1
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..72405d3
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,2569 @@
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.4"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
+    {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.11"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"},
+    {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"},
+    {file = "aiohttp-3.11.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:731468f555656767cda219ab42e033355fe48c85fbe3ba83a349631541715ba2"},
+    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb23d8bb86282b342481cad4370ea0853a39e4a32a0042bb52ca6bdde132df43"},
+    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f047569d655f81cb70ea5be942ee5d4421b6219c3f05d131f64088c73bb0917f"},
+    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd7659baae9ccf94ae5fe8bfaa2c7bc2e94d24611528395ce88d009107e00c6d"},
+    {file = "aiohttp-3.11.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af01e42ad87ae24932138f154105e88da13ce7d202a6de93fafdafb2883a00ef"},
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+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.0"
+
+[metadata]
+lock-version = "2.1"
+python-versions = "^3.11"
+content-hash = "915e6b1dd224b8eac9ee81d210b738a7604190ee7cfa235bb34dfedebd7be5b4"
diff --git a/pyproject.toml b/pyproject.toml
index 31a3836..b6ce977 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,16 +1,34 @@
-[project]
+[tool.poetry]
 name = "summary-bot"
-version = "0.1.0"
-description = "Add your description here"
+version = "0.1.1"
+description = "Summary bot for Discord"
 readme = "README.md"
-requires-python = ">=3.12"
-dependencies = [
-    "firebase-admin>=6.6.0",
-    "gtts>=2.5.4",
-    "openai>=1.58.1",
-    "parsedatetime>=2.6",
-    "py-cord>=2.6.1",
-    "python-dotenv>=1.0.1",
-    "pytz>=2024.2",
-    "tiktoken>=0.8.0",
-]
+authors = ["Your Name <you@example.com>"]
+
+[tool.poetry.group.dev]
+optional = true
+
+[tool.poetry.group.dev.dependencies]
+pytest = "*"
+debugpy = "^1.8.0"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+firebase-admin = "^6.6.0"
+gtts = "^2.5.4"
+openai = "^1.58.1"
+parsedatetime = "^2.6"
+py-cord = "^2.6.1"
+python-dotenv = "^1.0.1"
+pytz = "^2024.2"
+tiktoken = "^0.8.0"
+flask = "^3.1.0"
+requests = "^2.32.3"
+apscheduler = "^3.9.1"
+pydrive = ">=1.3.0"
+sentry_sdk = "^1.25.0"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/src/ai_chunking.py b/src/ai_chunking.py
new file mode 100644
index 0000000..309d359
--- /dev/null
+++ b/src/ai_chunking.py
@@ -0,0 +1,222 @@
+from src.constants import MAX_TOKENS
+from tiktoken import encoding_for_model
+import logging 
+
+TOKENIZER = encoding_for_model("gpt-3.5-turbo")
+def count_tokens_in_text(text):
+     return len(TOKENIZER.encode(text))
+
+def chunk_messages(prior_messages, recent_channel_messages, model_context_window_length):
+        max_tokens=30000
+        assumed_token_length=50
+        """
+        Chunk messages for summarization.
+
+        Args:
+            prior_messages (list): List of prior messages for context.
+            recent_channel_messages (list): List of recent messages to summarize.
+            max_tokens (int): Maximum tokens for OpenAI API.
+            assumed_token_length (int): Assumed average token length.
+            chunk_size (int): Size of each chunk.
+
+        Returns:
+            list: List of message chunks.
+        """
+        logging.info("Chunking for summarization")
+        if False: # disabling
+            logging.debug(f"Length for prior messages: {len(prior_messages)}")
+            budget_for_chunk = max_tokens - len(prior_messages) * assumed_token_length
+            logging.debug(f"Budget for chunk: {budget_for_chunk}")
+
+            if budget_for_chunk < 0:
+                logging.error("Prior messages exceed token limit. Truncating.")
+                prior_messages = prior_messages[:int(max_tokens / assumed_token_length)]
+                budget_for_chunk = 0
+
+        # Split up the recent messages into chunks of size chunk_size
+        logging.debug(f"Length for recent messages: {len(recent_channel_messages)}")
+        logging.debug(f"Model max chunk size: {model_context_window_length}")
+
+        if len(recent_channel_messages) > model_context_window_length:
+            logging.debug(f"Chunking into chunks of size {model_context_window_length} messages")
+
+        chunks = []
+        for i in range(0, len(recent_channel_messages), model_context_window_length):
+            logging.debug(f"Chunking messages {i} to {i + model_context_window_length}")
+            chunks.append(recent_channel_messages[i:i + model_context_window_length])
+
+        logging.debug(f"Number of chunks: {len(chunks)}")
+        return chunks
+
+
+import logging
+from datetime import timedelta
+
+def chunk_messages_by_model_token_limit(
+    messages,
+    model_config,
+    token_counter,
+    max_token_fraction=0.80,
+    max_time_gap: timedelta = None
+):
+    """
+    Groups messages into chunks based on the token limit and optional time gap between messages.
+
+    Args:
+        messages (list): List of message objects (with .author.display_name, .content, .created_at).
+        model_config (dict): Model info containing 'context_length'.
+        token_counter (function): A function that takes a string and returns the number of tokens.
+        max_token_fraction (float): Fraction of model context to use (default: 0.80).
+        max_time_gap (timedelta, optional): Max allowed time between messages before forcing a new chunk.
+
+    Returns:
+        tuple: (
+            message_chunks (list of str),
+            messages_per_chunk (list of int),
+            chunk_start_messages (list of message objects),
+            total_input_tokens (int)
+        )
+    """
+    start_new_chunk = True
+    message_chunks = []
+    messages_per_chunk = []
+    chunk_start_messages = []
+
+    current_chunk = ""
+    current_chunk_token_count = 0
+    chunk_message_count = 0
+    total_input_tokens = 0
+
+    max_tokens = int(max_token_fraction * model_config.get("context_length", 4096))
+    last_message_time = None
+
+    for message in messages:
+        message_time = getattr(message, 'created_at', None)
+        author_name = getattr(getattr(message, 'author', None), 'display_name', None)
+        content = getattr(message, 'content', None)
+
+        if not author_name or not content or not message_time:
+            logging.debug(f"Skipping incomplete message: {message}")
+            continue
+
+        message_line = f"{author_name}: {content}\n"
+        message_token_count = token_counter(message_line)
+
+        # Determine if time gap is too large
+        time_gap_triggered = False
+        if max_time_gap and last_message_time:
+            time_gap_triggered = (message_time - last_message_time) > max_time_gap
+
+        # Determine if new chunk needed
+        if start_new_chunk or \
+           (current_chunk_token_count + message_token_count > max_tokens) or \
+           time_gap_triggered:
+
+            if current_chunk:
+                message_chunks.append(current_chunk)
+                messages_per_chunk.append(chunk_message_count)
+                total_input_tokens += current_chunk_token_count
+
+            chunk_start_messages.append(message)
+            current_chunk = ""
+            current_chunk_token_count = 0
+            chunk_message_count = 0
+            start_new_chunk = False
+
+        current_chunk += message_line
+        current_chunk_token_count += message_token_count
+        chunk_message_count += 1
+        last_message_time = message_time
+
+    # Final chunk (if any)
+    if current_chunk:
+        message_chunks.append(current_chunk)
+        messages_per_chunk.append(chunk_message_count)
+        total_input_tokens += current_chunk_token_count
+
+    logging.debug(f"Number of chunks: {len(message_chunks)}")
+    logging.debug(f"Number of messages: {len(messages)}")
+    logging.debug(f"Total tokens: {total_input_tokens}")
+
+    return message_chunks, messages_per_chunk, chunk_start_messages, total_input_tokens
+
+
+
+# This is an Arjun's implementation of chunking messages for OpenAI API.
+def chunk_messages_by_model_token_limit(messages, model: dict):
+    logging.debug("Entering chunk_messages_by_model_token_limit")
+
+    assert isinstance(messages, list), "messages should be a list"
+    assert isinstance(model, dict), "model should be a dict (see MODELS in constants.py)"
+
+    """
+    Groups messages into chunks based on the token limit of the model.
+
+    Args:
+        messages (list): List of messages to be grouped.
+        model (dict): Model information containing the context length.
+
+    Returns:
+        tuple: A tuple containing:
+            - groups (list): List of grouped messages as strings.
+            - group_counts (list): List of counts of messages in each group.
+            - starts (list): List of starting messages for each group.
+            - in_token_count (int): Total number of input tokens.
+    """
+    next_group = True
+    groups = []
+    group_counts = []
+    starts = []
+    curr_group = ""
+    curr_count = 0
+    in_token_count = 0
+    logging.debug(f"Number of messages: {len(messages)}")
+    logging.debug(f"Chunking messages for model {model}")
+    
+    context_length = model["context_length"]
+
+    for message in messages:
+        if next_group:
+            starts.append(message)
+            next_group = False
+
+        if False: # testing no validation
+            author_name = getattr(getattr(message, 'author', None), 'display_name', None)
+            content = getattr(message, 'content', None)
+
+            if not author_name:
+                logging.debug(f"Skipping incomplete message (no author): {message}")
+                continue  
+
+            if not not content:
+                logging.debug(f"Skipping incomplete message (no content): {message}")
+                continue  
+
+
+            m = f"{author_name}: {content}\n"
+        else:
+            m = message
+
+        if count_tokens_in_text(curr_group + m) > (MAX_TOKENS * context_length):
+            in_token_count += count_tokens_in_text(curr_group)
+            groups.append(curr_group)
+            group_counts.append(curr_count)
+            curr_group = ""
+            curr_count = 0
+            next_group = True
+
+        curr_group += m
+        curr_count += 1
+
+    starts.append(message)
+    groups.append(curr_group)
+    group_counts.append(curr_count)
+    in_token_count += count_tokens_in_text(curr_group)
+
+    logging.debug(f"Number of groups: {len(groups)}")
+    logging.debug(f"Number of messages: {len(messages)}")
+    logging.debug(f"Total tokens: {in_token_count}")
+    
+
+    return groups, group_counts, starts, in_token_count
+
diff --git a/src/ai_chunking2.py b/src/ai_chunking2.py
new file mode 100644
index 0000000..afda4e8
--- /dev/null
+++ b/src/ai_chunking2.py
@@ -0,0 +1,196 @@
+import logging
+from dataclasses import dataclass, asdict
+from datetime import timedelta
+from typing import List, Any, Callable
+
+
+@dataclass
+class MessageChunkResult:
+    chunks: List[str]
+    message_counts: List[int]
+    start_messages: List[Any]
+    total_tokens: int
+
+    def to_json(self):
+        return {
+            "chunks": self.chunks,
+            "message_counts": self.message_counts,
+            "start_message_ids": [getattr(m, 'id', None) for m in self.start_messages],
+            "total_tokens": self.total_tokens
+        }
+
+
+def chunk_messages_by_model_token_limit(
+    messages: List[Any],
+    model_config: dict,
+    token_counter_function: Callable[[str], int],
+    max_token_fraction: float = 0.80,
+    max_time_gap: timedelta = None
+) -> MessageChunkResult:
+    """
+    Groups messages into chunks based on token limit and optional time gap.
+
+    Args:
+        messages (list): List of message objects (with .author.display_name, .content, .created_at).
+        model_config (dict): Model info with 'context_length'.
+        token_counter_function (function): Function to count tokens in a string.
+        max_token_fraction (float): Max portion of context to use (default 0.80).
+        max_time_gap (timedelta, optional): Max time gap between messages to stay in same chunk.
+
+    Returns:
+        MessageChunkResult: Dataclass containing chunk data and metadata.
+    """
+    start_new_chunk = True
+
+    message_chunks = []  
+
+    """
+    * `messages_per_chunk` is a list where each element represents the count of messages in a corresponding chunk.
+      For example, if the first chunk contains 5 messages and the second chunk contains 3 messages, `messages_per_chunk` would be `[5, 3]`.
+    """
+    messages_per_chunk = []
+    
+    chunk_start_messages = []
+
+    current_chunk = ""
+    current_chunk_token_count = 0
+    chunk_message_count = 0
+    total_input_tokens = 0
+
+    max_tokens = int(max_token_fraction * model_config.get("context_length", 4096))
+    last_message_time = None
+
+    for message in messages:
+        message_time = getattr(message, 'created_at', None)
+        author_name = getattr(getattr(message, 'author', None), 'display_name', None)
+        content = getattr(message, 'content', None)
+
+        if not author_name or not content or not message_time:
+            logging.debug(f"Skipping incomplete message: {message}")
+            continue
+
+        message_line = f"{author_name}: {content}\n"
+        message_token_count = token_counter_function(message_line)
+
+        # Trigger a new chunk if needed
+        time_gap_triggered = (
+            max_time_gap and last_message_time and (message_time - last_message_time) > max_time_gap
+        )
+
+        if start_new_chunk or \
+           (current_chunk_token_count + message_token_count > max_tokens) or \
+           time_gap_triggered:
+
+            if current_chunk:
+                message_chunks.append(current_chunk)
+                messages_per_chunk.append(chunk_message_count)
+                total_input_tokens += current_chunk_token_count
+
+            chunk_start_messages.append(message)
+            current_chunk = ""
+            current_chunk_token_count = 0
+            chunk_message_count = 0
+            start_new_chunk = False
+
+        current_chunk += message_line
+        current_chunk_token_count += message_token_count
+        chunk_message_count += 1
+        last_message_time = message_time
+
+    # Final chunk
+    if current_chunk:
+        message_chunks.append(current_chunk)
+        messages_per_chunk.append(chunk_message_count)
+        total_input_tokens += current_chunk_token_count
+
+    logging.debug(f"Number of chunks: {len(message_chunks)}")
+    logging.debug(f"Number of messages: {len(messages)}")
+    logging.debug(f"Total tokens: {total_input_tokens}")
+
+    return MessageChunkResult(
+        chunks=message_chunks,
+        message_counts=messages_per_chunk,
+        start_messages=chunk_start_messages,
+        total_tokens=total_input_tokens
+    )
+
+if __name__ == "__main__":
+    from datetime import datetime, timedelta
+    from tiktoken import encoding_for_model
+
+    # 🔧 Mock Classes
+    class MockAuthor:
+        def __init__(self, display_name):
+            self.display_name = display_name
+
+    class MockMessage:
+        def __init__(self, content, author, created_at, id=None):
+            self.content = content
+            self.author = MockAuthor(author)
+            self.created_at = created_at
+            self.id = id
+
+    # 🕒 Base timestamp
+    base_time = datetime.now()
+
+    # 💬 Sample Discord messages
+    sample_messages = [
+        MockMessage("Hey everyone! Anyone around for a quick chat?", "alice", base_time + timedelta(minutes=0), id=1),
+        MockMessage("Yo @alice! I'm here.", "bob", base_time + timedelta(minutes=1), id=2),
+        MockMessage("Hey folks 👋 just joined.", "carol", base_time + timedelta(minutes=2), id=3),
+        MockMessage("We were just talking about the server migration.", "alice", base_time + timedelta(minutes=3), id=4),
+        MockMessage("Oh right, any updates on that?", "carol", base_time + timedelta(minutes=5), id=5),
+        MockMessage("Yep! It's scheduled for this weekend. Downtime will be around 2 hours.", "bob", base_time + timedelta(minutes=6), id=6),
+        MockMessage("Sounds good. Thanks for the heads-up.", "carol", base_time + timedelta(minutes=7), id=7),
+        MockMessage("I'll post the full plan in #announcements later today.", "alice", base_time + timedelta(minutes=10), id=8),
+        MockMessage("👍", "bob", base_time + timedelta(minutes=11), id=9),
+        MockMessage("See you all later!", "carol", base_time + timedelta(minutes=12), id=10),
+        # Add time gap
+        MockMessage("Hey team — another topic: voice chat issues.", "alice", base_time + timedelta(minutes=45), id=11),
+        MockMessage("Yeah, the latency's been brutal lately.", "bob", base_time + timedelta(minutes=46), id=12),
+        MockMessage("Is this on all servers or just EU?", "carol", base_time + timedelta(minutes=47), id=13),
+        MockMessage("Mostly EU, but US-East has seen some lag too.", "bob", base_time + timedelta(minutes=48), id=14),
+        MockMessage("Got it. I’ll escalate it to our provider.", "alice", base_time + timedelta(minutes=49), id=15),
+        # Additional messages for more variety
+        MockMessage("Quick question: what's the status of the new feature rollout?", "dave", base_time + timedelta(minutes=50), id=16),
+        MockMessage("It's on track for next week. QA is wrapping up testing.", "alice", base_time + timedelta(minutes=51), id=17),
+        MockMessage("Great! Let me know if you need help with documentation.", "carol", base_time + timedelta(minutes=52), id=18),
+        MockMessage("Will do, thanks!", "alice", base_time + timedelta(minutes=53), id=19),
+        MockMessage("By the way, has anyone seen the latest design mockups?", "bob", base_time + timedelta(minutes=54), id=20),
+        MockMessage("Yes, I reviewed them yesterday. They look solid.", "carol", base_time + timedelta(minutes=55), id=21),
+        MockMessage("Awesome. I'll share them with the client later today.", "bob", base_time + timedelta(minutes=56), id=22),
+        MockMessage("Hey, quick reminder: team meeting tomorrow at 10 AM.", "alice", base_time + timedelta(minutes=57), id=23),
+        MockMessage("Got it, thanks!", "dave", base_time + timedelta(minutes=58), id=24),
+        MockMessage("See you all there!", "carol", base_time + timedelta(minutes=59), id=25),
+        # Another time gap
+        MockMessage("Hey team, any updates on the bug report from yesterday?", "alice", base_time + timedelta(hours=2), id=26),
+        MockMessage("Yes, I fixed the issue. It was a misconfigured API endpoint.", "dave", base_time + timedelta(hours=2, minutes=5), id=27),
+        MockMessage("Nice work, Dave! Thanks for jumping on that.", "bob", base_time + timedelta(hours=2, minutes=6), id=28),
+        MockMessage("No problem. Let me know if anything else comes up.", "dave", base_time + timedelta(hours=2, minutes=7), id=29),
+        MockMessage("Will do. Appreciate it!", "alice", base_time + timedelta(hours=2, minutes=8), id=30),
+    ]
+
+    # 🔢 Tokenizer for gpt-3.5-turbo
+    TOKENIZER = encoding_for_model("gpt-3.5-turbo")
+    token_counter_function = lambda text: len(TOKENIZER.encode(text))
+
+    # 🚀 Run chunking
+    result = chunk_messages_by_model_token_limit(
+        messages=sample_messages,
+        model_config={"context_length": 4096},
+        token_counter_function=token_counter_function,
+        max_token_fraction=0.8,
+        max_time_gap=timedelta(minutes=30)
+    )
+
+    # 🖨️ Output results
+    print("Total tokens:", result.total_tokens)
+    print("Chunks:", len(result.chunks))
+    for i, (chunk, count) in enumerate(zip(result.chunks, result.message_counts)):
+        print(f"\n--- Chunk {i+1} ({count} messages) ---\n{chunk.strip()}")
+    
+    # 🔄 JSON-friendly output
+    print("\nJSON Output:")
+    print(result.to_json())
+    # Note: In a real-world scenario, you would replace the mock classes and sample data with actual Discord message objects.
+    # and a real tokenizer.
\ No newline at end of file
diff --git a/src/async_lru_cache.py b/src/async_lru_cache.py
new file mode 100644
index 0000000..953805c
--- /dev/null
+++ b/src/async_lru_cache.py
@@ -0,0 +1,18 @@
+# Type: Source Code
+# Description: The code snippet defines an asynchronous least recently used (LRU) cache class that stores key-value pairs. 
+# The cache has a maximum size, and when the cache exceeds this size, the least recently used item is removed. 
+# The class provides methods to get and set values in the cache asynchronously.
+
+from cachetools import LRUCache
+
+class AsyncLRUCache:
+    def __init__(self, maxsize=100):
+        self.cache = LRUCache(maxsize=maxsize)
+
+    async def get(self, key):
+        return self.cache.get(key)
+
+    async def set(self, key, value):
+        self.cache[key] = value
+        if len(self.cache) > self.cache.maxsize:
+            self.cache.popitem()
diff --git a/src/commands.py b/src/commands.py
index 237c585..268a9bf 100644
--- a/src/commands.py
+++ b/src/commands.py
@@ -1,7 +1,7 @@
 from discord.commands import Option
 from discord.utils import basic_autocomplete
 
-from constants import *
+from src.constants import *
 
 
 async def set_region(
diff --git a/src/confluence_export_formatter.py b/src/confluence_export_formatter.py
new file mode 100644
index 0000000..9a38b77
--- /dev/null
+++ b/src/confluence_export_formatter.py
@@ -0,0 +1,12 @@
+string = """
+    """
+
+wrap = f"""
+<ac:structured-macro ac:name="code" ac:schema-version="1" ac:macro-id="12345">
+  <ac:plain-text-body>
+    <![CDATA[
+{string}
+ ]]>
+  </ac:plain-text-body>
+</ac:structured-macro>
+"""
\ No newline at end of file
diff --git a/src/constants.py b/src/constants.py
index 2b97a25..89dad49 100644
--- a/src/constants.py
+++ b/src/constants.py
@@ -4,7 +4,7 @@
 import firebase_admin
 from firebase_admin import credentials, firestore
 
-cred = credentials.Certificate("static/summary-bot-firebase-credentials.json")
+cred = credentials.Certificate("src/static/summary-bot-firebase-credentials.json")
 firebase_admin.initialize_app(cred)
 DATABASE = firestore.client()
 
@@ -15,6 +15,7 @@
 
 Apart from just normal text, there will likely also be emojis and GIFs in the message. GIFs are typically of the form 'https://tenor.com/view/[...]'. Emojis are typically of the form ':emoji_name:'. If possible, try taking these into account.
 \n{}. The summary should be in {}"""
+
 MODES = {
     "brief": "Give me a brief summary of this conversation",
     "standard": "Give me a summary of this conversation",
@@ -205,6 +206,10 @@
 
 MESSAGE_LINK = "https://discord.com/channels/{}/{}/{}"
 
+CONTEXT_LOOKBACK_DAYS = 3
+MESSAGE_CHUNK_SIZE = 1900
+LOG_DIAGNOSTICS_TO_CHANNEL = False
+FILE_FORMAT = "md"
 
 def calc_cost(in_tokens, out_tokens, model):
     in_tokens = model["price_in"] * in_tokens / 1000000
diff --git a/src/debug_app.py b/src/debug_app.py
new file mode 100644
index 0000000..5aa5928
--- /dev/null
+++ b/src/debug_app.py
@@ -0,0 +1,86 @@
+# This is imported by src/main.py only for debugging purposes. It is not used in production.
+"""
+Debug module for remote debugging capabilities using debugpy.
+
+This module sets up remote debugging with debugpy and provides functionality
+to monitor debugger connections. It's controlled via environment variables:
+- DEBUGPY_SERVER: Host to listen on (default: localhost)
+- DEBUGPY_PORT: Port to listen on (default: 5678)
+- DEBUGPY_WAIT: If "true", waits for debugger to attach before proceeding
+- DEBUGPY_LOG_DIR: Directory for debugpy logs"
+"""
+
+import debugpy # noqa
+import os
+import logging
+import threading
+import time
+
+logging.info("🔍 Starting debug_app module")
+
+if os.getenv("DEBUGPY_LOG_DIR"):
+    try:
+        logging.info(f"🪛 local debugpy log dir: {os.getenv('DEBUGPY_LOG_DIR')}")
+    except:
+        print(f"❌ DEBUGPY: Failed to set log dir: {os.getenv('DEBUGPY_LOG_DIR')}")
+
+def watch_for_debugger_connects(poll_interval=1):
+    def _watch():
+        thread_name = threading.current_thread().name
+        logging.info(f"🔍 [{thread_name}] Starting debugger watcher thread...")
+        was_connected = False
+
+        while True:
+            is_connected = debugpy.is_client_connected()
+            #logging.debug(f"🔍 [{thread_name}] Debugger client connected: {is_connected}")
+
+            if is_connected and not was_connected:
+                logging.info(f"🎯 [{thread_name}] Debugger client connected")
+                # TODO add HeartbeatWarningFilter 
+            elif not is_connected and was_connected:
+                logging.warning(f"❌ [{thread_name}] Debugger client disconnected")
+                # TODO remove HeartbeatWarningFilter 
+
+            was_connected = is_connected
+            time.sleep(poll_interval)
+
+    thread = threading.Thread(
+        target=_watch,
+        daemon=True,
+        name="debugpy-connection-watcher"
+    )
+    thread.start()
+
+port = int(os.getenv("DEBUGPY_PORT", 5678))
+server = os.getenv("DEBUGPY_SERVER", "localhost")
+
+
+try:   
+    logging.info(f"🪛 debugpy about to listen on {server}:{port}")
+    endpoint = debugpy.listen((server, port))
+    logging.info(f"🪛 debugpy is listening on {server}:{port} - {endpoint}")
+except Exception as e:
+    print(f"❌ DEBUGPY: Failed to listen to {server}:{port}: {e}")
+    logging.error(f"❌ DEBUGPY: Failed to listen: {e}")
+
+watch_for_debugger_connects()
+
+if os.getenv("DEBUGPY_WAIT") == "true":
+    logging.info("🪛 debugpy enabled, now waiting_for_client, developer should 'Attach to Docker-Host' to resume the control flow")
+    debugpy.wait_for_client()  # noqa # NEVER BREAKPOINT HERE
+    debugpy.breakpoint()
+
+    logging.info("🪛 client attached; hit 'Continue' in IDE")
+    logging.info("Breakpoint should have hit by here")  
+
+
+logging.info("🪛 Suppressing HeartbeatWarningFilter for discord.gateway during IDE debug")
+class HeartbeatWarningFilter(logging.Filter):
+    def filter(self, record):
+        return not (
+            record.name == "discord.gateway" and
+            "heartbeat blocked for more than" in record.getMessage()
+        )
+
+logger = logging.getLogger("discord.gateway")
+logger.addFilter(HeartbeatWarningFilter())
diff --git a/src/events.py b/src/events.py
index 4316e0f..7b7a3c4 100644
--- a/src/events.py
+++ b/src/events.py
@@ -1,4 +1,4 @@
-from constants import *
+from src.constants import *
 
 async def on_guild_join(guild):
     channel = guild.system_channel
diff --git a/src/history.py b/src/history.py
new file mode 100644
index 0000000..da8434e
--- /dev/null
+++ b/src/history.py
@@ -0,0 +1,164 @@
+# Description: This file contains functions for retrieving and summarizing message history from Discord channels.
+#  The `summarize_contents_of_channel_between_dates` function processes messages from a Discord channel within a specified time frame, retrieves prior messages for context, and generates a summarized response.
+#  The `get_channel_messages` function retrieves messages from a specified Discord channel within a given time range.
+
+import logging
+from datetime import datetime, timedelta
+import re
+
+from src.openai_summarizer import *
+from src.constants import MESSAGE_CHUNK_SIZE, MODELS
+#from src.ai_chunking import chunk_messages, chunk_messages_by_model_token_limit
+from src.ai_chunking2 import chunk_messages_by_model_token_limit
+from tiktoken import encoding_for_model
+
+class MockMessage:
+    """
+    A lightweight mock class to represent a Discord message.
+    """
+    def __init__(self, content, author, created_at, id=None):
+        self.content = content
+        self.author = author
+        self.created_at = created_at
+        self.id = id
+
+async def summarize_contents_of_channel_between_dates(channel, starttime_to_summarize, endtime_to_summarize, prior_timeframe_for_context, ai_prompts):
+    """
+    Asynchronously processes messages from a Discord channel within a specified time frame, retrieves prior messages for context, and generates a summarized response.
+    Args:
+        channel (discord.TextChannel): The Discord channel to process messages from.
+        starttime_to_summarize (datetime): The start time of the period to summarize messages.
+        endtime_to_summarize (datetime): The end time of the period to summarize messages.
+        prior_timeframe_for_context (datetime): The start time of the period to retrieve prior messages for context.
+        ai_prompts (str): The AI prompts to use for summarization.
+    Returns:
+        str: A formatted HTML string containing the summarized content of the channel messages within the specified time frame.
+    """
+
+    recent_channel_messages = await get_channel_messages(channel, start=starttime_to_summarize, end=endtime_to_summarize) 
+    if not recent_channel_messages:
+        logging.debug(f"No recent messages in {channel} between {starttime_to_summarize.date()} and {endtime_to_summarize.date()}")
+        response = f"No messages found in {channel} between {starttime_to_summarize.date()} and {endtime_to_summarize.date()}.\n\n"
+        return response
+
+
+    logging.info(f"Messages received from Discord about {channel} from {starttime_to_summarize.date()} and prior during {prior_timeframe_for_context.date()}:")
+   # logging.debug(recent_channel_messages)
+
+    response = f"## Contents of #{channel.name} between {starttime_to_summarize.date()} and {endtime_to_summarize.date()}\n\n" 
+
+    prior_messages = []
+    
+    if prior_timeframe_for_context:
+        prior_messages = await get_channel_messages(channel, start=prior_timeframe_for_context, end=starttime_to_summarize)
+        if len(prior_messages) == 0:
+            logging.debug("No prior messages found for context")
+        else:
+            logging.debug(f"For context, retrieved prior messages during {prior_timeframe_for_context} in {channel}: {prior_messages}")
+
+
+    if False: # disabling
+        # TODO: merge these chunks and groups mechanisms
+        model = MODELS["GPT-4o Mini"] #SMELL - lack of method to look up model by name
+        model_context_length = model["context_length"]
+        chunks = chunk_messages(prior_messages, recent_channel_messages, model_context_length)
+        
+
+
+        groups,  group_counts, starts, in_token_count = chunk_messages_by_model_token_limit(recent_channel_messages, model)
+    else:
+        # 🔢 Tokenizer for gpt-3.5-turbo
+        TOKENIZER = encoding_for_model("gpt-3.5-turbo")
+        token_counter_function = lambda text: len(TOKENIZER.encode(text))
+
+        # 🚀 Run chunking
+        result = chunk_messages_by_model_token_limit(
+            messages=recent_channel_messages,
+            model_config={"context_length": 4096},
+            token_counter_function=token_counter_function,
+            max_token_fraction=0.8,
+            max_time_gap=timedelta(minutes=30)
+        )
+        chunks = result.chunks
+        group_counts = result.message_counts
+        starts = result.start_messages
+        in_token_count = result.total_tokens
+        groups = result.chunks
+    
+    
+    logging.debug(f"Number of groups: {len(groups)}")
+    logging.debug(f"Number of chunks: {len(chunks)}")
+    logging.debug(f"Number of starts: {len(starts)}")
+    logging.debug(f"Total tokens: {in_token_count}")
+    logging.debug(f"Group counts: {group_counts}")
+
+    chunked_responses = []
+    for chunk in chunks:
+        chunked_response = await summarizer.get_cached_summary_from_ai("\n".join(prior_messages),
+                                                                "\n".join(chunk),
+                                                                 ai_prompts)
+        chunked_responses.append(chunked_response)
+
+    response += "\n".join(chunked_responses) + "\n"
+
+    return response
+
+async def get_channel_messages(channel, start, end):
+    """
+    Retrieve messages from a specified Discord channel within a given time range.
+
+    Args:
+        channel (discord.TextChannel): The Discord channel to retrieve messages from.
+        start (datetime.datetime): The start time to retrieve messages from.
+        end (datetime.datetime): The end time to retrieve messages until.
+
+    Returns:
+        list: A list of messages retrieved from the channel.
+              An additional first message is inserted to include a link the spot in the channel.
+    """
+    logging.debug(f"Retrieving messages from {channel} between {start} and {end}")
+
+    # Get the bot object from the channel
+    bot = channel.guild.me._state._get_client() #TDO - code smell
+    
+
+    channel_messages = []
+    is_first_message = True
+
+    async for msg in channel.history(after=start, before=end):
+        if msg.author != bot.user and not msg.content.startswith("/"):
+            if is_first_message:
+                # Create a mock message for the link
+                message_url = f"https://discord.com/channels/{msg.guild.id}/{msg.channel.id}/{msg.id}"
+                inserted_channel_link_msg = MockMessage(
+                    content=f"Discord: [Link to messages in {msg.guild.name}]({message_url})",
+                    author=bot.user,
+                    created_at=msg.created_at,
+                    id="5972"
+                )
+                channel_messages.append(inserted_channel_link_msg)
+                is_first_message = False
+
+            # Append the actual message
+            channel_messages.append(msg)
+
+    return channel_messages
+
+
+# Legacy Helper function
+def time_for_dating_back(enddate, time_period):
+
+    match = re.match(r'(\d+)([dhm])$', time_period)
+    if not match:
+        raise ValueError("Invalid time period format. Use '<number><d/h/m>' (e.g., '1d', '6h', '30m').")
+
+    quantity, unit = match.groups()
+    quantity = int(quantity)
+
+
+    return {
+        'd': enddate - timedelta(days=quantity),
+        'h': enddate - timedelta(hours=quantity),
+        'm': enddate - timedelta(minutes=quantity)
+    }.get(unit, ValueError("Invalid time unit. Use 'd' for days, 'h' for hours, or 'm' for minutes."))
+
diff --git a/src/main.py b/src/main.py
index b434883..4141f97 100644
--- a/src/main.py
+++ b/src/main.py
@@ -1,23 +1,143 @@
+import logging
+logging.basicConfig(level=logging.DEBUG)
+logging.getLogger('apscheduler').setLevel(logging.INFO)
+logging.getLogger('discord').setLevel(logging.INFO)
+logging.getLogger('werkzeug').setLevel(logging.INFO)
+logging.getLogger('flask').setLevel(logging.INFO)
+logging.getLogger('apscheduler.executors.default').setLevel(logging.INFO)
+logging.getLogger('apscheduler.executors.pool').setLevel(logging.INFO)
+logging.getLogger('apscheduler.scheduler').setLevel(logging.INFO)
+logging.getLogger('apscheduler.triggers.cron').setLevel(logging.INFO)
+logging.getLogger('apscheduler.triggers.interval').setLevel(logging.INFO)
+logging.getLogger('apscheduler.triggers.date').setLevel(logging.INFO)
+logging.getLogger('apscheduler.triggers.combining').setLevel(logging.INFO)
+logging.getLogger('apscheduler.job').setLevel(logging.INFO)
+logging.getLogger('apscheduler.jobstores.memory').setLevel(logging.INFO)
+logging.getLogger('apscheduler.jobstores.sqlalchemy').setLevel(logging.INFO)
+logging.getLogger('openai').setLevel(logging.INFO)
+
+
+import sys
 import os
-import json
+
+logging.info("Starting main.py")
+from pprint import pformat
+logging.debug("sys.path:\n%s", pformat(sys.path))
+
+
+is_fly = os.getenv("FLY_ALLOC_ID") is not None
+if is_fly:
+    logging.info("Running on Fly.io")
+    import sentry_sdk
+
+    sentry_dsn = os.getenv("SENTRY_DSN")
+    if sentry_dsn:        
+        sentry_sdk.init(
+            dsn=sentry_dsn,
+            # Add data like request headers and IP for users,
+            # see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
+            send_default_pii=True,
+        )
+        logging.info(f"Sentry enabled on {sentry_dsn}")
+    else:
+        logging.warning("No Sentry DSN found. Not enabling Sentry.")
+
+if os.getenv("DEBUGPY_ENABLE") == "true":
+    logging.info("Enabling debug via IDE by calling debug_app and debugpy")
+    
+    import debugpy
+    import src.debug_app # noqa: F401
+
+else:
+    logging.info("Not enabling debug via IDE as DEBUGPY_ENABLE is not set to true")
+
+
+
+import discord 
 import threading
 
-import discord
+
+
+from src.openai_summarizer import OpenAISummarizer
+
 from dotenv import load_dotenv
 load_dotenv()
 
-from summary import summary, fromtosummary, unreadsummary
-from deployment import server
-from constants import *
-from events import *
-from commands import *
-
+from src.summary import summary, fromtosummary, unreadsummary, discord_command_summarize_all
+from src.deployment import server
+from src.constants import *
+from src.events import *
+from src.commands import *
+from src.tasks_beaverworx import perform_catchup_and_queue_future_jobs, print_jobs
+from src.webhook import *
+from src.summary_for_webhook import summary_for_webhook 
+from src.tagged_channels import *
 
 intents = discord.Intents.default()
 bot = discord.Bot(intents=intents)
+summarizer = OpenAISummarizer()
+
+
+
+"""
+The main entry point for the bot. This script starts the bot and sets up the necessary event listeners and commands.
+"""
+
+# Set up the Flask app for the Webhook
+def run_webhook(bot, summary_func):
+    listen_server = os.getenv("WEBHOOK_LISTEN_SERVER", "127.0.0.1")
+    listen_port = int(os.getenv("WEBHOOK_LISTEN_PORT", 8080))
+    logging.info(f"Starting webhook server on {listen_server}:{listen_port}")
+
+    app.bot = bot  # Attach the bot instance to the Flask app
+    app.summary_func = summary_func  # Attach the summary function to the Flask app
+    try:
+        app.run(host=listen_server, port=listen_port)  # Start the Flask app
+    except Exception as e:
+        logging.error(f"Error starting webhook server: {e}")
+        raise
+
+
+# Run the Webhook Flask app in a thread to avoid blocking the bot
+webhook_server_thread = threading.Thread(target=run_webhook, 
+                                         args=(bot,
+                                               summary_for_webhook),
+                                         name="webhook_server_thread",      
+                                        )
+webhook_server_thread.start()
+
+
+tasklist_thread = threading.Thread(target=perform_catchup_and_queue_future_jobs)
+#    logger.info("Starting the scheduler")
+#    task_list.scheduler.start()
+#logger.info("Scheduling future task list")
+tasklist_thread.start()
+
 
 async def on_ready():
-    print(f"{bot.user.name} is ready")
+    logging.info(f"{bot.user.name} is ready")
+    for guild in bot.guilds:
+        for channel in guild.channels:
+            if channel.permissions_for(guild.me).view_channel:
+                logging.debug("Bot has access to: %s", channel.name)
+
+
+@bot.event
+async def on_error(error, *args, **kwargs):
+    if isinstance(args[0], discord.HTTPException) and args[0].status == 429:
+        # Rate limit encountered
+        retry_after = args[0].headers.get("Retry-After")
+        if not retry_after:
+            retry_after = 5
+            
+        logging.warning("Rate limit encountered. Retrying after %s seconds.", retry_after)
+        await asyncio.sleep(retry_after)  # Fallback to a reasonable delay if Retry-After is not provided
+#    else:
+#        ctx = args[0]
+#        if isinstance(error,  commands.CommandInvokeError): #TODO: Check if this is the correct error
+#            await ctx.send(error.original)
+#        elif isinstance(error, commands.CommandError): #TODO: Check if this is the correct error
+#            await ctx.send(str(error))
 
 bot.event(on_ready)
 bot.event(on_guild_join)
@@ -55,10 +175,32 @@ async def on_ready():
 bot.slash_command(name="invite", description="Invite the bot to your server")(invite)
 bot.slash_command(name="info", description="Info about the bot")(info)
 
+bot.slash_command(name="summarize_all", description="Summarize all messages from all channels")(discord_command_summarize_all)
+bot.slash_command(name="tagged", description="Find channels based on tags in their topics")(tagged_channels)
+
+bot.slash_command(name="print_jobs", description="Print the current jobs in the queue")(print_jobs)
+#bot.slash_command(name="cancel_jobs", description="Cancel all jobs in the queue")(cancel_jobs)                                                                                  
+#bot.slash_command(name="cancel_job", description="Cancel a specific job in the queue")(cancel_job)
+#bot.slash_command(name="queue_jobs", description="Queue jobs for the TaskList class")(queue_jobs)
+#bot.slash_command(name="run_jobs", description="Run the jobs in the queue")(run_jobs)
+#bot.slash_command(name="clear_jobs", description="Clear the jobs in the queue")(clear_jobs)
+#bot.slash_command(name="print_future_jobs", description="Print the future jobs in the queue")(print_future_jobs)
+#bot.slash_command(name="print_past_jobs", description="Print the past jobs in the queue")(print_past_jobs)
 
+@bot.slash_command(name="sync", description="Manually sync commands")
+async def sync(ctx: discord.ApplicationContext):
+    await bot.sync_commands()
+    await ctx.respond("✅ Slash commands synced!", ephemeral=True)
 
 if __name__ == "__main__":
     threading.Thread(target=server.serve_forever).start()
-    print("Server started on port 8000")
+    logging.info(f"Server started on port {server.server_address} {server.socket}")
+    token = os.getenv("DISCORD_TOKEN")
+    if not token:
+        logging.error("No token found in environment variables. Exiting.")
+        exit(1)
+    
+    bot.run(token)
+else:
+    logging.error("Main called outside of direct call.")
 
-    bot.run(os.getenv("DISCORD_TOKEN"))
diff --git a/src/openai_summarizer.py b/src/openai_summarizer.py
new file mode 100644
index 0000000..076a277
--- /dev/null
+++ b/src/openai_summarizer.py
@@ -0,0 +1,168 @@
+from openai import OpenAI
+import os
+from src.async_lru_cache import AsyncLRUCache
+import logging
+
+logging.basicConfig(level=logging.DEBUG)
+
+api_key = os.getenv("OPENAI_API_KEY")
+if not api_key:
+    raise ValueError("OPENAI_API_KEY environment variable not set")
+
+client = OpenAI(
+    api_key=api_key,  # This is the default and can be omitted
+)
+
+cache = AsyncLRUCache()
+class OpenAISummarizer:
+    def __init__(self):
+        """
+        Initializes the OpenAISummarizer instance.
+
+        Sets the initial number of API calls to 0 and configures the logging
+        to the DEBUG level.
+        """
+        self.calls = 0
+        logging.basicConfig(level=logging.INFO)
+
+    async def get_cached_summary_from_ai(self, owner_to_messages, channel_messages, ai_prompts):     
+        """
+        Asynchronously retrieves a summary for the given messages. If a cached summary exists, it returns the cached result.
+        Otherwise, it calls the OpenAI summarization API, caches the result, and returns it.
+
+        Args:
+            owner_of_messages (list): A list of message owners.
+            channel_messages (list): A list of messages from the channel.
+            ai_prompts (dict): A dictionary of AI prompts to use for summarization.
+
+        Returns:
+            str: The summary of the provided messages.
+        """
+        if ai_prompts is None:
+           ai_prompts = {}
+        key = (tuple(owner_to_messages), tuple(channel_messages))
+        cached_result = await cache.get(key)
+        if cached_result is not None:
+            return cached_result
+        else:
+            result = await self.call_openai_summarize(owner_to_messages, channel_messages, ai_prompts)
+            #await self.debug_summary_to_file(result, owner_of_messages, channel_messages)
+            await cache.set(key, result)
+            return result
+
+    async def call_openai_summarize(self, owner_to_messages, messages_in_channel, ai_prompts):
+        """
+        :param owner_to_messages: The context of the conversation to provide background information.
+        :type owner_to_messages: str
+        :param messages_in_channel: The actual conversation messages that need to be summarized.
+        :type messages_in_channel: str
+        :param ai_prompts: Dictionary containing various AI prompts for formatting and context.
+        :type ai_prompts: dict
+        :return: The summarized conversation, formatted in HTML if specified.
+        :rtype: str
+        :raises Exception: If there is an issue with the OpenAI API call.
+        .. note::
+        Asynchronously calls the OpenAI API to summarize a chat conversation.
+        Note:
+            - The function logs the call number, context, and the conversation to be summarized.
+            - The prompt can be formatted for Atlassian Confluence Cloud if needed.
+            - The response is stripped of any markdown enclosures before being returned.
+        """
+        self.calls += 1
+
+        logging.info("Call number: %s", self.calls)
+        logging.debug("Owners:messages: %s", owner_to_messages)
+        #logging.debug("Messages in channel: %s", messages_in_channel)
+
+        prompt0 = ai_prompts.get("formatting_instructions", "FFormat my answer in Markdown.")
+        prompt1 = ai_prompts.get("context_prompt", "I’d like to ask you for a summary of a chat conversation. First, I will provide you with the context of the conversation so that you can better understand what it’s about, and then I will write the continuation, for which I will ask you to summarize and highlight the most important points. Here is the context:")
+        prompt2 = ai_prompts.get("recent_messages_prompt","Now, please summarize the following conversation, highlighting the most important elements in bold. Include the instructions I gave you.")
+        
+        ai_prompt = f"{prompt0}: \n\n"+ \
+                    f"{prompt1}: \n\n"+ \
+                    f"{'-' * 10}\n"+ \
+                    f"{owner_to_messages}\n"+ \
+                    f"{'-' * 10}\n\n"+ \
+                     ">>>"+ \
+                    f"{prompt0}: \n\n"+ \
+                    f"{prompt2}:\n\n\n"+ \
+                    f"{messages_in_channel}"
+        
+        # TODO: implement MODES and INTRO_MESSAGE
+        #mode = "standard"
+        #language = "English"
+        #mode_prompt = MODES.get(mode)
+        #ai_prompt = INTRO_MESSAGE.format("Guild", mode_prompt, language)
+
+
+        #logging.debug(ai_prompt)
+
+        try:
+            chat_completion = client.chat.completions.create(
+                messages=[
+                    {
+                        "role": "assistant",
+                        "content": ai_prompt
+                    }
+                ],
+                model="gpt-4o",
+            )
+
+            response = chat_completion.choices[0].message.content
+            
+        # TODO: decide whether to use httpx instead of the OpenAI Python client library to capture the headers
+        #    await self.debug_openai_response_headers(headers)
+
+            return response
+        except OpenAI.error.RateLimitError as e:
+            logging.error(f"Rate limit exceeded. Retry after {e.headers.get('retry-after', 'unknown')} seconds.")
+
+            raise
+
+
+    async def debug_openai_response_headers(self, headers):
+        """
+        To get the response headers from the chat_completion call in the call_openai_summarize method, you would need to access the headers from the response object. 
+        However, the OpenAI Python client library does not directly expose response headers. You would need to modify the library or use a lower-level HTTP client like requests or httpx to capture the headers.
+        """
+        print("Rate Limit Info:")
+        print(f"Requests Allowed: {headers.get('x-ratelimit-limit-requests')}")
+        print(f"Requests Remaining: {headers.get('x-ratelimit-remaining-requests')}")
+        print(f"Requests Reset Time: {headers.get('x-ratelimit-reset-requests')}")
+        print(f"Tokens Allowed: {headers.get('x-ratelimit-limit-tokens')}")
+        print(f"Tokens Remaining: {headers.get('x-ratelimit-remaining-tokens')}")
+        print(f"Tokens Reset Time: {headers.get('x-ratelimit-reset-tokens')}")
+
+    async def debug_summary_to_file(self, summary, owner_of_messages, messages_in_channel, folder_path="summaries", file_path=None):
+        """
+        Asynchronously writes a summary and its context to a file for debugging purposes.
+        
+        Args:
+            summary (str): The summary text to be written to the file.
+            messages_context (str): The context of the conversation.
+            messages_in_channel (str): The actual conversation messages.
+            folder_path (str, optional): The path to the folder where the summary file will be stored. Defaults to "summaries".
+            file_path (str, optional): The path to the file where the summary will be written. If not provided, a default path will be used.
+
+        Returns:
+            None
+        """
+        if not os.path.exists(folder_path):
+            os.makedirs(folder_path)
+        
+        if file_path is None:
+            file_path = os.path.join(folder_path, f"summary_{self.calls}.txt")
+        
+        with open(file_path, 'w', encoding='utf-8') as file:
+            file.write("Context:\n")
+            file.write(owner_of_messages + "\n\n")
+            file.write("Messages:\n")
+            file.write(messages_in_channel + "\n\n")
+            file.write("Summary:\n")
+            file.write(summary)
+        
+        logging.info("Summary written to %s", file_path)
+
+    
+
+summarizer = OpenAISummarizer()
diff --git a/src/static/webhook-server-example.json b/src/static/webhook-server-example.json
new file mode 100644
index 0000000..352b701
--- /dev/null
+++ b/src/static/webhook-server-example.json
@@ -0,0 +1,9 @@
+{
+    "channels_to_summarize": [
+        1111111
+    ],
+    "history": "Here are many messages that have been sent to the channel. Some comments are irrelevant. Some are important. But hopefully AI will simplify it all.",
+    "bot_webhook_server": "http://localhost:5000/webhook",
+    "target_channel_id": 111111,
+    "target_webhook": "https://hooks.zapier.com/hooks/catch/111111/1111/"
+}
\ No newline at end of file
diff --git a/src/summary.py b/src/summary.py
index 9a8d570..bd4364b 100644
--- a/src/summary.py
+++ b/src/summary.py
@@ -13,14 +13,19 @@
 from gtts import gTTS
 from openai import OpenAI
 from parsedatetime import Calendar
-from tiktoken import encoding_for_model
+from datetime import datetime, timedelta
 
-from constants import *
+from src.ai_chunking import chunk_messages_by_model_token_limit, count_tokens_in_text
+
+from src.history import time_for_dating_back, summarize_contents_of_channel_between_dates
+from src.tagged_channels import get_tagged_channels
+
+from src.constants import CONTEXT_LOOKBACK_DAYS, MESSAGE_CHUNK_SIZE, INTRO_MESSAGE, ERROR, MESSAGE_LINK, LESS_MESSAGES
+from src.constants import setup_user, set_user, set_server, TIMEZONES, MODELS
+import logging
 
 calendar = Calendar()
 
-TOKENIZER = encoding_for_model("gpt-3.5-turbo")
-get_tokens = lambda text: len(TOKENIZER.encode(text))
 
 
 class Summary:
@@ -44,8 +49,10 @@ def summarize(self, prompt, key, model):
         assert isinstance(
             response.choices[0].message.content, str
         ), "API response is not a string"
+
         summary = response.choices[0].message.content
         self.full_summary += summary + "\n"
+
         return summary
 
     def tts(self, username):
@@ -223,161 +230,410 @@ async def unreadsummary(
 
 
 async def send_summary(ctx, messages, mode, channel=None, secret_mode=False):
-    if len(messages) > 5000:
-        await ctx.followup.send(
-            "The maximum number of messages that can be summarized is 5000."
-        )
+    """
+    Asynchronously sends a summary of messages in a specified mode and channel.
+    Args:
+        ctx (Context): The context of the command invocation, containing information about the user and guild.
+        messages (list): A list of messages to be summarized.
+        mode (str): The mode of summarization to be used.
+        channel (Optional[Channel]): The channel where the summary will be sent. Defaults to the current channel.
+        secret_mode (bool): Whether to enable secret mode for the summary. Defaults to False.
+    Returns:
+        None: This function does not return a value but performs asynchronous operations.
+    Raises:
+        None: This function does not explicitly raise exceptions but may propagate exceptions from called functions.
+    Notes:
+        - Validates the message count and summarization mode before proceeding.
+        - Handles secret mode by creating a private thread if enabled.
+        - Retrieves the API key for the user and server to process the summary.
+        - Chunks messages based on the selected model and updates token counts.
+        - Generates headings for the summary and sends an embed with summary details.
+        - Processes grouped messages to generate and send the final summary.
+    """
+
+    if not validate_message_count(ctx, messages):
+        logging.info(f"Message count exceeds limit: {len(messages)}")
         return
 
-    # Grab variables from database
     user, server = setup_user(str(ctx.author), ctx.guild.name, ctx.guild.id)
-    language = user["language"]
-    if mode in user["modes"]:
-        mode_prompt = user["modes"][mode]
-    else:
+    if not validate_mode(ctx, mode, user):
+        logging.info(f"Invalid mode: {mode}")
+        return
+
+    use_a_thread = use_a_thread(ctx, user, secret_mode)
+    api_key = get_api_key(ctx, user, server)
+    if not api_key:
+        return
+
+    model = MODELS[user["model"]]
+    chunks, chunk_counts, starts, in_token_count = chunk_messages_by_model_token_limit(messages, model)
+    update_token_counts(user, server, ctx, in_token_count)
+
+    headings = generate_headings(ctx, channel, starts, chunk_counts)
+    await send_summary_embed(ctx, len(messages), mode, user, use_a_thread, in_token_count, model, chunks, secret_mode)
+
+    summary = Summary(INTRO_MESSAGE.format(ctx.guild.name, user["modes"][mode], user["language"]))
+    await process_summary_groups(ctx, chunks, headings, summary, api_key, model, user, server, use_a_thread)
+
+
+async def validate_message_count(ctx, messages):
+    if len(messages) > 5000:
+        await ctx.followup.send("The maximum number of messages that can be summarized is 5000.")
+        return False
+    return True
+
+
+async def validate_mode(ctx, mode, user):
+    if mode not in user["modes"]:
         await ctx.followup.send(
             f"Mode `{mode}` not found. Please try again with a valid mode. Use /listmodes to see all your modes."
         )
-        return
-
-    thread = user["thread"]
+        return False
+    return True
+
+
+async def use_a_thread(ctx, user, secret_mode):
+    """
+    Handles the secret mode functionality for the summary bot.
+    This function checks if the secret mode is enabled and adjusts the thread
+    setting accordingly. If secret mode is active and threads are enabled, it
+    sends a follow-up message to notify the user that threads are being turned
+    off for the summary.
+    Args:
+        ctx: The context object, typically representing the interaction context.
+        user (dict): A dictionary containing user-related data, including the
+            "thread" key which indicates whether threads are enabled.
+        secret_mode (bool): A flag indicating whether secret mode is enabled.
+    Returns:
+        bool: The updated thread status after considering the secret mode setting.
+    """
+    use_a_thread = user["thread"]
+    logging.info(f"Thread status: {use_a_thread}")
+    logging.info(f"Secret mode status: {secret_mode}")
 
     if secret_mode:
-        if thread is True:
+        if use_a_thread is True:
             await ctx.followup.send(
                 "Summary Bot is turning off threads for this summary because you are using secret mode.",
                 ephemeral=secret_mode
             )
-            thread = False
+            use_a_thread = False
+
+    logging.info(f"Thread status after secret mode check: {use_a_thread}")
+    return use_a_thread
+
+
+async def get_api_key(ctx, user, server):
+    """
+    Asynchronously retrieves the API key for a user or server.
+    This function checks the user's API key first. If the user's API key is set to "NONE",
+    it falls back to the server's API key. If the server's API key is also "NONE", a message
+    is sent to the user explaining that the common API key has been disabled and that they
+    need to use their own OpenAI API key.
+    Args:
+        ctx: The context object used to send follow-up messages.
+        user (dict): A dictionary containing user-specific data, including the "api-key".
+        server (dict): A dictionary containing server-specific data, including the "api-key".
+    Returns:
+        str or None: The API key as a string if available, or None if no valid API key is found.
+    """
 
     api_key = user["api-key"]
     if api_key == "NONE":
         api_key = server["api-key"]
         if api_key == "NONE":
             await ctx.followup.send(
-                f"Due to inappropriate usage of the common API key provided by Summary Bot, we have decided to shut it down. Summary Bot is still fully functional, but just with your own OpenAI API key."
+                "Due to inappropriate usage of the common API key provided by Summary Bot, we have decided to shut it down. "
+                "Summary Bot is still fully functional, but just with your own OpenAI API key."
             )
-            return
-
-    if mode not in user["modes"]:
-        await ctx.followup.send(
-            f"Mode `{mode}` not found. Please try again with a valid mode. Use /listmodes to see all your modes."
-        )
-        return
-
-    model = MODELS[user["model"]]
-
-    # Group messages into groups of MAX_TOKENS
-    # Create a list starts for the first message in each group
-    next_group = True
-    groups = []
-    group_counts = []
-    starts = []
-    curr_group = ""
-    curr_count = 0
-    in_token_count = 0
-
-    for message in messages:
-        if next_group:
-            starts.append(message)
-            next_group = False
-
-        m = f"{message.author.display_name}: {message.content}\n"
-
-        if get_tokens(curr_group + m) > (MAX_TOKENS * model["context_length"]):
-            in_token_count += get_tokens(curr_group)
-            groups.append(curr_group)
-            group_counts.append(curr_count)
-            curr_group = ""
-            curr_count = 0
-            next_group = True
-
-        curr_group += m
-        curr_count += 1
-
-    starts.append(message)
-    groups.append(curr_group)
-    group_counts.append(curr_count)
-    in_token_count += get_tokens(curr_group)
+            return None
+    return api_key
+
+
+async def update_token_counts(user, server, ctx, in_token_count):
+    """
+    Asynchronously updates the token counts for a user and a server.
+    This function increments the input token count for both the user and the server,
+    and then updates their respective records in the storage.
+    Args:
+        user (dict): A dictionary containing user data, including the current token count.
+        server (dict): A dictionary containing server data, including the current token count.
+        ctx (Context): The context of the command invocation, used to identify the user and server.
+        in_token_count (int): The number of input tokens to add to the user's and server's token counts.
+    Returns:
+        None
+    """
 
     user["in_token_count"] += in_token_count
     set_user(str(ctx.author), user)
-
     server["in_token_count"] += in_token_count
     set_server(ctx.guild.name, ctx.guild.id, server)
 
+
+def generate_headings(ctx, channel, starts, chunk_counts):
+    """
+    Generates a list of summary headings based on message links and group counts.
+    Args:
+        ctx: The context object, typically containing information about the guild.
+        channel: The channel object where the messages are located.
+        starts: A list of message objects representing the starting points of groups.
+        group_counts: A list of integers representing the number of messages in each group.
+    Returns:
+        list: A list of formatted strings, each representing a summary heading with 
+              message links and the number of messages in the group.
+    """
+
     headings = []
     for i in range(len(starts) - 1):
         message1_link = MESSAGE_LINK.format(ctx.guild.id, channel.id, starts[i].id)
         message2_link = MESSAGE_LINK.format(ctx.guild.id, channel.id, starts[i + 1].id)
-        num_messages = group_counts[i]
+        num_messages = chunk_counts[i]
         headings.append(
             f"Summary from **{message1_link}** to **{message2_link}**. This summary contains __{num_messages}__ messages.\n\n"
         )
-
-    print(f"{ctx.author}'s summary: Grouped into {len(groups)} groups")
-    print(f"{ctx.author}'s summary of {len(messages)} messages")
-
-    # Start sending the summary
-    info_str = "\n"
-    info_str += f"Messages: ``{len(messages)}``\n"
-    info_str += f"Mode: ``{mode}``\n"
-    info_str += f"Language: ``{language}``\n"
-    info_str += f"Thread: ``{thread}``\n"
-    info_str += f"Total Input Tokens: ``{in_token_count}``\n"
-    info_str += f"Model: ``{model['name']}``\n"
-    info_str += f"By {ctx.author.mention}"
+    return headings
+
+
+async def send_summary_embed(ctx, message_count, mode, user, thread, in_token_count, model, chunks, ephemeral):
+    """
+    Sends an embed message summarizing the details of a summary generation request.
+    Args:
+        ctx (discord.ext.commands.Context): The context of the command invocation.
+        message_count (int): The number of messages being summarized.
+        mode (str): The mode of the summary generation (e.g., concise, detailed).
+        user (dict): A dictionary containing user-specific information, such as language preference.
+        thread (str): The thread or channel where the summary is being generated.
+        in_token_count (int): The total number of input tokens used for the summary.
+        model (dict): A dictionary containing model-specific information, such as the model name.
+        groups (list): A list of message groups being summarized.
+        ephemeral (bool): Whether the embed message should be ephemeral (visible only to the user).
+    Returns:
+        None
+    """
+
+    info_str = (
+        f"Messages: ``{message_count}``\n"
+        f"Mode: ``{mode}``\n"
+        f"Language: ``{user['language']}``\n"
+        f"Thread: ``{thread}``\n"
+        f"Total Input Tokens: ``{in_token_count}``\n"
+        f"Model: ``{model['name']}``\n"
+        f"By {ctx.author.mention}"
+    )
     embed = discord.Embed(title="Generated summary")
-    embed.description = f"A `{len(groups)}-message` summary is being prepared..."
+    embed.description = f"A `{len(chunks)}-message` summary is being prepared..."
     embed.add_field(name="Command Arguments:", value=info_str)
-    summary = Summary(INTRO_MESSAGE.format(ctx.guild.name, mode_prompt, language))
+    await ctx.followup.send(embed=embed, ephemeral=ephemeral)
+
+
+async def process_summary_groups(ctx, chunks, headings, summary, api_key, model, user, server, thread):
+    """
+    Asynchronously processes and sends summaries for a given set of groups.
+    This function generates summaries for the provided groups using the specified
+    API key and model, sends the summaries to the appropriate context, and updates
+    token usage statistics. It also handles text-to-speech (TTS) summaries and
+    error handling.
+    Args:
+        ctx (Context): The context object representing the current execution environment.
+        groups (list): A list of groups to generate summaries for.
+        headings (list): A list of headings corresponding to each group.
+        summary (str): The overall summary text to be used for TTS.
+        api_key (str): The API key for accessing the summary generation service.
+        model (str): The model identifier to be used for generating summaries.
+        user (User): The user object representing the current user.
+        server (Server): The server object representing the current server.
+        thread (Thread): The thread object where summaries will be sent.
+    Raises:
+        Exception: If an error occurs during summary processing, it is caught and
+                   passed to the error handler.
+    Returns:
+        None
+    """
 
     try:
-        send_message = None
-        send_tts = None
-        if thread:
-            message = await ctx.followup.send(embed=embed)
-            thread = await ctx.channel.create_thread(
-                name=f"Summary by {ctx.author.display_name}, {len(messages)} messages",
-                message=message,
-            )
-            send_message = lambda msg: thread.send(msg, suppress=True)
-            send_tts = lambda f: thread.send(file=f, suppress=True)
-        else:
-            message = await ctx.followup.send(embed=embed, ephemeral=secret_mode)
-            thread = channel
-            send_message = lambda msg: ctx.followup.send(msg, ephemeral=secret_mode)
-            send_tts = lambda f: ctx.followup.send(file=f, ephemeral=secret_mode)
-
-        to_generate = [(groups[i], api_key, model["name"]) for i in range(len(groups))]
-        with ThreadPool(len(groups)) as pool:
-            responses = pool.starmap(summary.summarize, to_generate)
-
-        for i in range(len(groups)):
-            response = responses[i]
-
-            # Send message in 2000 character chunks to prevent error
-            block = headings[i] + response
-            for chunk in textwrap.wrap(block, 2000, replace_whitespace=False):
-                await send_message(chunk)
-
-            tokens = get_tokens(response)
-            user["out_token_count"] += tokens
-            set_user(str(ctx.author), user)
-
-            server["out_token_count"] += tokens
-            set_server(ctx.guild.name, ctx.guild.id, server)
-
-            print(f"{ctx.author}'s summary: Sent group {i+1}/{len(groups)}")
-
-        # Send TTS summary
-        try:
-            result = summary.tts(ctx.author.display_name)
-            await send_tts(result)
-        except Exception as e:
-            print(e)
-            await send_message(ERROR.format(f"There was an error in generating the TTS summary: {e}"))
+        send_message_function, send_tts_function = functions_for_sending_message_and_tts(ctx, thread)
+        responses = generate_a_summary_for_all_chunks(chunks, api_key, model, summary)
+
+        for i, response in enumerate(responses):
+            await send_group_summary(ctx, headings[i], response, send_message_function)
+            update_output_token_counts(response, user, server, ctx)
 
+        await send_tts_summary(ctx, summary, send_tts_function, send_message_function)
     except Exception as e:
-        print(e)
-        await message.edit(content=ERROR.format(e))
+        await handle_summary_error(ctx, e)
+
+
+async def functions_for_sending_message_and_tts(ctx, thread, embed, messages, secret_mode):
+    """
+    Asynchronously sets up message sending functions for a Discord bot, allowing messages
+    and files to be sent either in a thread or as follow-up messages.
+    Args:
+        ctx (discord.ext.commands.Context): The context of the command invocation.
+        thread (bool): Whether to create and use a thread for sending messages.
+        embed (discord.Embed): The embed to send as the initial message.
+        messages (list): A list of messages to summarize, used for naming the thread in the channel.
+        secret_mode (bool): If True, messages will be sent ephemerally (visible only to the user).
+    Returns:
+        tuple: A pair of functions:
+            - send_message (function): A function to send text messages.
+            - send_tts (function): A function to send files (e.g., text-to-speech audio).
+    """
+
+    if thread:
+        message = await ctx.followup.send(embed=embed)
+        thread = await ctx.channel.create_thread(
+            name=f"Summary by {ctx.author.display_name}, {len(messages)} messages",
+            message=message,
+        )
+        send_message = lambda msg: thread.send(msg, suppress=True)
+        send_tts = lambda f: thread.send(file=f, suppress=True)
+    else:
+        send_message = lambda msg: ctx.followup.send(msg, ephemeral=secret_mode)
+        send_tts = lambda f: ctx.followup.send(file=f, ephemeral=secret_mode)
+    return send_message, send_tts
+
+
+def generate_a_summary_for_all_chunks(chunk, api_key, model, summary):
+    """
+    Generates summaries for a list of chunks using a specified model and API key.
+    Args:
+        chunks (list): A list of chunks to generate summaries for.
+        api_key (str): The API key required for authentication with the summarization service.
+        model (dict): A dictionary containing model details, including the model name.
+        summary (object): An object with a `summarize` method that performs the summarization.
+    Returns:
+        list: A list of summaries generated for each chunk.
+    """
+
+    to_generate = [(chunk[i], api_key, model["name"]) for i in range(len(chunk))]
+    with ThreadPool(len(chunk)) as pool:
+        return pool.starmap(summary.summarize, to_generate)
+
+
+async def send_group_summary(ctx, heading, response, send_message_function):
+    """
+    Asynchronously sends a summarized message to a Discord channel.
+    This function takes a heading and a response, combines them into a single
+    block of text, and sends the text in chunks of a specified size to avoid
+    exceeding message size limits.
+    Args:
+        ctx: The context in which the function is called. Typically includes
+             metadata about the command invocation.
+        heading (str): The heading or title of the summary.
+        response (str): The body of the summary to be sent.
+        send_message (Callable[[str], Awaitable[None]]): An asynchronous function
+            used to send a message. It is called with each chunk of the summary.
+    Returns:
+        None
+    """
+    
+    block = heading + response
+    for chunk in textwrap.wrap(block, MESSAGE_CHUNK_SIZE, replace_whitespace=False):
+        await send_message_function(chunk)
+
+
+def update_output_token_counts(response, user, server, ctx):
+    tokens = count_tokens_in_text(response)
+    user["out_token_count"] += tokens
+    set_user(str(ctx.author), user)
+    server["out_token_count"] += tokens
+    set_server(ctx.guild.name, ctx.guild.id, server)
+
+
+async def send_tts_summary(ctx, summary, send_tts_function, send_message_function):
+    """
+    Asynchronously sends a text-to-speech (TTS) summary to the user.
+    
+    """
+
+    try:
+        result = summary.tts(ctx.author.display_name)
+        await send_tts_function(result)
+    except Exception as e:
+        await send_message_function(ERROR.format(f"There was an error in generating the TTS summary: {e}"))
+
+
+async def handle_summary_error(ctx, error):
+    print(error)
+    await ctx.followup.send(ERROR.format(error))
+
+
+async def discord_command_summarize_all(ctx, 
+                                        time_period: str = Option(str, "Time period",            required=False, default="1d"), 
+                                        tag:         str = Option(str, "Tag to filter channels", required=False, default=None),
+                                        category:    str = Option(str, "Category to filter channels", required=False, default=None)
+                                        ):
+    now = datetime.now()
+    time_to_look_back = time_for_dating_back(now, time_period)
+    time_to_look_back_for_context = now - timedelta(days=CONTEXT_LOOKBACK_DAYS)
+
+    # "standard": INTRO_MESSAGE.format(ctx.guild.name, "standard", "english"),
+    ai_prompts = {
+        "formatting_instructions": "Format my answer as markdown",
+        "context_prompt": "I’d like to ask you for a summary of a chat conversation. First, I will provide you with the context of the conversation so that you can better understand what it’s about, and then I will write the continuation, for which I will ask you to summarize and highlight the most important points. Here is the context:",
+        "recent_messages_prompt": "Now, please summarize the following conversation, highlighting the most important elements in bold. Using one level of headers and one level of nested bullet points whenever that makes sense. Pay attention to technical and design details. Highlight the most important elements or terms in bold. Include any links to Discord channels. Don't repeat the details of the conversation. Ignore people thanking each other. If I gave you no conversation points just say 'no messages in the time period'.",
+    }
+
+    target_channel = ctx.channel
+    
+    #categories = [category for category in ctx.guild.channels if isinstance(category, discord.CategoryChannel)]
+    #await target_channel.send(f"Categories in {ctx.guild.name}: {[cat.name for cat in categories]}")
+
+
+    if tag:
+        channels = get_tagged_channels(ctx.guild, tag)
+        criteria = f"tag ({tag})"
+    elif category:
+        channels = [channel for channel in ctx.guild.channels if channel.category.name == category]
+        criteria = f"category ({category})"
+    else:
+        channels = ctx.guild.channels
+        criteria = "all"
+
+    await target_channel.send(f"\n\nSummarizing all channels (criteria={criteria}) in {ctx.guild.name}...\n")
+
+
+    for channel in channels:
+        if isinstance(channel, discord.VoiceChannel):
+            logging.info(f"Skipping voice channel {channel.name}")
+            ctx.respond(f"Skipping voice channel {channel.name}")
+            continue
+        if isinstance(channel, discord.CategoryChannel):
+            logging.info(f"Skipping category channel {channel.name}")
+            ctx.respond(f"Skipping category channel {channel.name}")
+            continue
+        if isinstance(channel, discord.ForumChannel):
+            logging.info(f"Skipping forum channel {channel.name}")
+            ctx.respond(f"Skipping forum channel {channel.name}")
+            continue
+        if channel.permissions_for(ctx.guild.me).read_messages and channel.name != "summary":
+            await target_channel.send(content=f"Summarizing {channel.name}... {time_to_look_back}")
+            await summarize_to_named_channel(target_channel, channel, ctx, ai_prompts, time_period)
+
+
+async def summarize_to_named_channel(target_channel, source_channel, ctx, ai_prompts, time_period="1d", context_lookback_days=2):
+    """
+    (Originally `process_channel`)
+    Process the messages from a Discord channel and generate a summary response.
+    Args:
+        channel (discord.TextChannel): The Discord channel to process messages from.
+        ctx (discord.ext.commands.Context): The context of the command.
+        ai_prompts (str): The AI prompts to use for summarization.
+        time_period (str): The time period to summarize (default is "1d").
+        context_lookback_days (int): The number of days to look back for context (default is 5 days).
+    Returns:
+        str: A formatted HTML string containing the summarized content of the channel messages.
+    """
+    endtime_to_summarize = datetime.now()
+    starttime_to_summarize = time_for_dating_back(endtime_to_summarize, time_period)
+    prior_timeframe_for_context = time_for_dating_back(starttime_to_summarize, f"{context_lookback_days}d")
+
+    logging.info(f"Summarizing messages from {source_channel} between {starttime_to_summarize.date()} and {endtime_to_summarize.date()}")
+    await target_channel.send(f"Summarizing messages from {source_channel} between {starttime_to_summarize.date()} and {endtime_to_summarize.date()}")
+    summary = await summarize_contents_of_channel_between_dates(source_channel, starttime_to_summarize, endtime_to_summarize, prior_timeframe_for_context, ai_prompts)
+
+    response = f"**<#{source_channel.id}>**\n"  + summary
+
+    response_chunks = [response[i:i + MESSAGE_CHUNK_SIZE] for i in range(0, len(response), MESSAGE_CHUNK_SIZE)]
+    for chunk in response_chunks:
+        await target_channel.send(chunk)
\ No newline at end of file
diff --git a/src/summary_for_webhook.py b/src/summary_for_webhook.py
new file mode 100644
index 0000000..f008379
--- /dev/null
+++ b/src/summary_for_webhook.py
@@ -0,0 +1,183 @@
+# Description: This file contains the implementation of the summary_for_webhook function, which generates a summary for a Discord webhook based on the provided payload.
+# Calls process_channel for each channel in the payload, which
+# correspondingly calls get_channel_messages and OpenAISummarizer.get_summary
+
+from datetime import datetime, timedelta
+import json
+import logging
+import discord
+
+from flask import request
+from src.history import summarize_contents_of_channel_between_dates
+from src.webhook import app
+from src.webhook import log_diagnostic_message
+from src.history import time_for_dating_back
+from src.constants import CONTEXT_LOOKBACK_DAYS
+import asyncio
+
+#When called from the internal function, the timeout is handled by the asyncio.timeout context manager.
+#This ensures that the function returns a response within the specified time limit.
+async def summary_for_internal_call(diagnostic_channel_id, payload):
+    try:
+        async with asyncio.timeout(10):
+            response = await summary_from_payload(diagnostic_channel_id, payload)
+    except asyncio.TimeoutError:
+            response = "Timeout error occurred while processing the summary."
+    return response
+
+#Inside Flask App:
+#The framework handled timeouts (e.g., request timeouts in Flask).
+#It manages the event loop and automatically scheduled coroutines.
+#The async functions are running inside an existing event loop.
+async def summary_for_webhook(diagnostic_channel_id):
+    payload = {}
+    response = ""
+
+    try:
+        payload = request.json
+        response = await summary_from_payload(diagnostic_channel_id, payload)
+    except Exception as e:
+        logging.error(f"Error processing webhook payload: {e}")
+        logging.error(f"Traceback in file {__file__} at line {e.__traceback__.tb_lineno}:", exc_info=True) # TODO check filename is from origin
+        response = f"Error processing webhook payload: {e}"
+
+    finally:
+        # Log the payload for debugging purposes
+        logging.info(f"Received payload: {json.dumps(payload, indent=4)}")
+        logging.info(f"Response: {response}")
+    
+    return response
+
+
+
+# Shared logic for generating a summary from a payload
+async def summary_from_payload(diagnostic_channel_id, payload):
+    """
+    Generates a summary for a Discord webhook based on the provided payload.
+    Args:
+        diagnostic_channel_id (int): The ID of the diagnostic channel.
+    Returns:
+        str: The generated summary response.
+
+    The function processes the payload received from a webhook request, which includes:
+    - `endtime_to_summarize`: The end time for the summary period (default is now).
+    - `time_period`: The duration of the time period to summarize (default is 1 day).
+    - `ai_prompts`: AI prompts for generating the summary.
+    - `context_lookback_days`: Number of days to look back for context (default is 5 days).
+    - `diagnostic_channel_id`: The ID or name of the diagnostic channel.
+    - `guild_ids`: List of guild IDs or names to include in the summary.
+    - `channels_to_include`: List of channel IDs or names to include in the summary.
+    - `channels_to_exclude`: List of channel IDs or names to exclude from the summary.
+
+    The function performs the following steps:
+    1. Parses the payload and determines the time period for the summary.
+    2. Logs diagnostic information.
+    3. Identifies the diagnostic channel and validates its existence.
+    4. Prepares the response string with summary details.
+    5. Iterates through the specified guilds and channels to generate the summary.
+    6. Logs and skips channels based on permissions and exclusions.
+    7. Calls `process_channel` to generate the summary for each channel.
+    8. Returns the final summary response.
+    Raises:
+        ValueError: If the diagnostic channel ID is invalid.
+    """
+    now = datetime.now().replace(microsecond=0)
+
+    endtime_to_summarize = payload.get("endtime_to_summarize", now)
+    if endtime_to_summarize == 'now':
+        endtime_to_summarize = now
+    else:
+        endtime_to_summarize = datetime.fromisoformat(endtime_to_summarize)
+
+    time_period = payload.get("time_period", "1d")
+    logging.debug(f"Time period: {time_period}")
+
+    starttime_to_summarize = time_for_dating_back(endtime_to_summarize, time_period)
+
+    logging.debug(f"From {starttime_to_summarize} to {endtime_to_summarize}")
+
+    ai_prompts = payload.get("ai_prompts", {})
+    context_lookback_days = payload.get("context_lookback_days", CONTEXT_LOOKBACK_DAYS)
+
+    logging.info("Received webhook payload: %s", json.dumps(payload, indent=4))
+    logging.debug(f"ai_prompts: {ai_prompts}")
+
+    app.diagnostic_channel_id = 0
+    if payload['diagnostic_channel_id']:
+        channel_name_or_id = payload['diagnostic_channel_id']
+        if not isinstance(channel_name_or_id,int):
+            logging.info("channel_name_or_id is not an int, looking up the channel by name from the bot's guild.")
+            app.diagnostic_channel_id = discord.utils.get(app.bot.guilds[0].channels, name=channel_name_or_id)
+        else:
+            app.diagnostic_channel_id = channel_name_or_id
+        
+    # TODO: Validate the diagnostic channel ID    
+    #    if app.bot.get_channel(app.diagnostic_channel_id) is None:
+    #        raise ValueError(f"Invalid diagnostic channel ID: {app.diagnostic_channel_id}")
+
+    response = ""
+
+
+
+    prior_starttime_for_context =starttime_to_summarize - timedelta(days=context_lookback_days)
+    logging.info(f"Webhook summary started {starttime_to_summarize} to {endtime_to_summarize}, preceded by context of {prior_starttime_for_context}")
+
+    response += "Summarizing channels\n\n"
+    response += f"Showing from {starttime_to_summarize} to {endtime_to_summarize}\n\n"
+    response += f"Prior context from {prior_starttime_for_context} for {context_lookback_days} days\n\n"
+
+    #await log_diagnostic_message(response)
+    
+    guilds = []
+    if 'guild_ids' in payload and payload['guild_ids']:
+        guild_ids = payload['guild_ids']
+        for guild in app.bot.guilds:
+            if guild.id in guild_ids or guild.name in guild_ids:
+                guilds.append(guild)        
+            else:
+                logging.debug(f"Skipping guild {guild}")
+    else:
+        guilds = app.bot.guilds
+
+    for guild in guilds:
+        text_channels = []
+
+        channels_to_exclude = payload.get("channels_to_exclude", [])
+
+        if 'channels_to_include' in payload:
+            channels = payload.get("channels_to_include", [])
+            for channel in guild.text_channels:
+                if channel.id in channels or channel.name in channels:
+                    if channel.id not in channels_to_exclude and channel.name not in channels_to_exclude:
+                        text_channels.append(channel)
+                    else:
+                        logging.debug(f"Channel {channel} is in exclude list")
+                else:
+                    logging.debug(f"Skipping channel {channel}")
+        else:
+            logging.debug("No channels_to_include in payload, processing all text channels")
+
+        if text_channels == []:
+            logging.info(f"No channels to summarize in {guild}")
+
+        response += (f"# GUILD {guild}") 
+        for channel in text_channels:
+            await log_diagnostic_message(f"CHANNEL {channel}")
+            if channel.id == diagnostic_channel_id:
+                await log_diagnostic_message("skipping of processing the diagnostic channel")
+                continue
+            if channel.name == "summary": # legacy compatibility
+                await log_diagnostic_message("skipping of processing the summary channel")
+                continue
+            if channel.permissions_for(channel.guild.me).read_messages:
+                response += await summarize_contents_of_channel_between_dates(channel, 
+                                                    starttime_to_summarize,
+                                                    endtime_to_summarize,
+                                                    prior_starttime_for_context,
+                                                    ai_prompts)
+            else:
+                response += f"Skipping channel {channel.name} due to lack of permissions\n"
+
+    logging.info("Summaries done")
+    return response
+
diff --git a/src/tagged_channels.py b/src/tagged_channels.py
new file mode 100644
index 0000000..4d49702
--- /dev/null
+++ b/src/tagged_channels.py
@@ -0,0 +1,29 @@
+import discord
+
+def get_tagged_channels(guild: discord.Guild, tag: str):
+    """Returns a list of text channels that have the given tag in their topic."""
+    matching_channels = []
+    
+    for channel in guild.text_channels:
+        if channel.topic and "Tags:" in channel.topic:
+            # Extract tags from the topic
+            topic_tags = channel.topic.split("Tags:")[-1].strip().lower()
+            tag_list = [t.strip() for t in topic_tags.split(",")]
+
+            if tag.lower() in tag_list:
+                matching_channels.append(channel)
+
+    return matching_channels  # Returns a list of matching discord.TextChannel objects
+
+async def tagged_channels(ctx, tag: str):
+    """Slash command to find tagged channels."""
+    matching_channels = get_tagged_channels(ctx.guild, tag)
+
+    if matching_channels:
+        response = "**Channels matching `{}`:**\n".format(tag)
+        response += "\n".join(f"🔹 {channel.mention}" for channel in matching_channels)
+    else:
+        response = f"No channels found with the tag `{tag}`."
+
+    await ctx.respond(response, ephemeral=True)  # Sends privately
+
diff --git a/src/task_list.py b/src/task_list.py
new file mode 100644
index 0000000..e35c072
--- /dev/null
+++ b/src/task_list.py
@@ -0,0 +1,213 @@
+import json
+import requests
+import logging
+
+from apscheduler.schedulers.asyncio import AsyncIOScheduler
+from apscheduler.triggers.cron import CronTrigger
+from datetime import datetime
+from src.summary_for_webhook import summary_for_internal_call
+from src.constants import FILE_FORMAT
+
+import os
+
+logging.basicConfig(level=logging.DEBUG)
+logging.getLogger('apscheduler').setLevel(logging.DEBUG)
+
+class TaskList:
+    def __init__(self, default_payload):
+        self.default_payload = default_payload
+        self.scheduler = AsyncIOScheduler()
+        self.SUMMARY_DIR = "summaries"
+        self.periods = []
+
+    def set_periods(self, periods):
+        self.periods = periods
+
+    def signal_handler(self, signal_number, frame): #TODO: implement this
+        logging.info("Caught signal")
+        self.scheduler.shutdown(wait=False)
+        
+    
+    async def perform_job_using_internal_call(self, payload):
+        actual_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+        print(f"Actual Execution Time: {actual_time}")
+        print(payload)
+
+        diagnostic_channel_id = payload.get("diagnostic_channel_id", 0)
+        if diagnostic_channel_id != 0:
+            diagnostic_channel_id = int(diagnostic_channel_id)
+
+        if payload.get("bot_webhook_server", None):
+            logging.warning("bot_webhook_server is not None, but performing job using internal call")
+            
+        result = await(summary_for_internal_call(diagnostic_channel_id, payload))
+        self.store_job_result(payload, result)
+
+    """
+        This function is called by the scheduler to perform the job. 
+        The method returns the result of the job.
+
+        It calls the perform_job_using_webhook method, calling the external API even for internally originated calls. 
+        This is done as the Flask call to the webhook server is not blocking, and we can use the same code for both internal and external calls.
+        
+    """
+    def perform_job(self, payload):
+        #if payload.get("bot_webhook_server", None):
+        return self.perform_job_using_webhook(payload)
+        #else:
+        #loop = asyncio.new_event_loop()  # TODO: consider if loops should be reused between calls
+        #asyncio.set_event_loop(loop)  
+        #return asyncio.run(self.perform_job_using_internal_call(payload))
+        #loop.close()  
+    
+        
+
+
+### WEBHOOK RELATED FUNCTIONS
+    # This effectively calls ```summary_for_webhook.py:summary_for_webhook```
+
+    def call_webhook_with_payload(self, url, payload):
+        logging.debug(f"Sending {payload} to {url}")
+        headers = {"Content-Type": "application/json"}
+        response = requests.post(url, headers=headers, json=payload)
+        logging.debug(f"Status Code: {response.status_code}")
+        logging.debug(f"Response Body: {response.text}")
+        return response
+
+
+    def perform_job_using_webhook(self, payload):
+        actual_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+        logging.debug(f"Actual Time of Execution: {actual_time}")
+        
+        # Call the webhook and get the response
+        response = self.call_webhook_with_payload(payload['bot_webhook_server'], payload)
+        
+        # Store the raw response as a string
+        raw_response = response.text  # Extract the raw response body as a string
+        self.store_job_data(payload, raw_response, 'response_text', 'json')
+        
+        if response.status_code != 200:
+            result = f"Error: {response.status_code} {response.text}"
+        else:
+            result = response.text
+
+        data = {}
+        
+        try:
+            data = json.loads(result) 
+
+            if data["message"]:
+                message = data["message"]
+
+        except json.JSONDecodeError as e:
+            message = "Error decoding JSON response - Chances are, we passed too many tokens."
+            logging.error(f"Error decoding JSON response: {e}")
+            logging.error(message)
+            message = result
+        
+
+        self.store_job_result(payload, message) #TODO: think about name
+        return message
+
+    def default_filename_for_period(self, start, end):
+        formatted_start = start.strftime('%Y-%m-%d')
+        formatted_end = end.strftime('%Y-%m-%d')
+        file_path = self.SUMMARY_DIR+os.sep + \
+                                            f"{formatted_start}_{formatted_end}"+"."+FILE_FORMAT
+        return file_path
+
+
+    def default_basename_for_payload(self, payload):
+        # TODO let the payload specify the filename 
+        #if "document_id" in payload:
+        #    return payload["document_id"]
+
+        if "starttime_to_summarize" in payload:
+            starttime = payload["starttime_to_summarize"]
+            formatted_start = starttime.split()[0] # date only.
+        else:
+            formatted_start = payload["start"].strftime('%Y-%m-%d')
+
+        if "endtime_to_summarize" in payload:
+            endtime = payload["endtime_to_summarize"]
+            formatted_end = endtime.split()[0]  
+        else:
+            formatted_end = payload["end"].strftime('%Y-%m-%d')
+        return f"{formatted_start}_{formatted_end}"
+
+    def default_filename_based_on_payload(self, payload, datatype=None, filetype=None):
+
+        if filetype == None:
+            filetype = FILE_FORMAT
+        if datatype == None:
+            datatype = ""
+        else:
+            datatype = datatype + "." 
+
+        basename = self.default_basename_for_payload(payload)
+
+        file_path = self.SUMMARY_DIR + os.sep + basename + "." + datatype + filetype
+        return file_path
+
+    def store_job_data(self, payload, data, data_name, filetype):
+        os.makedirs(self.SUMMARY_DIR, exist_ok=True)
+
+        file_path = self.default_filename_based_on_payload(payload, data_name, filetype)
+
+        logging.debug(f"Storing {data_name} for {file_path} in {self.SUMMARY_DIR} ")
+        # TODO: Think about document_id, can it be used in the filename if the format gets changed between runs?
+        with open(file_path, "w", encoding="utf-8") as file:
+            file.write(data)
+
+
+    def store_job_result(self, payload, result):
+        os.makedirs(self.SUMMARY_DIR, exist_ok=True)
+
+        file_path = self.default_filename_based_on_payload(payload)
+        # TODO: Think about document_id, can it be used in the filename if the format gets changed between runs?
+        with open(file_path, "w", encoding="utf-8") as file:
+            file.write(result)
+
+
+    def job_is_done(self, start, end):
+        file_path = self.default_filename_for_period(start, end)
+        exists = os.path.exists(file_path)
+        logging.debug(f"Checking if {file_path} exists: {exists}")
+        return exists
+
+    """
+    Returns the next job from the past to be done. If no job is due, returns None.
+    """
+    def get_next_catchup_job(self):
+        now = datetime.now()
+        logging.info(f"Current time: {now}")
+        for start, end in self.periods:
+            if self.job_is_done(start, end):
+                # TODO: remove historical period from the list
+                logging.info(f"Job {start}-{end} already done")                 
+                # next
+            else:
+                logging.info(f"Checking {start}-{end}")
+                if now > end:
+                    logging.info(f"Please do past job {start}-{end}")
+                    return {"start": start, "end": end}
+                else:
+                    logging.info(f"nothing due as end job {end} later than now {now} ")
+                    return None
+                
+        logging.debug("Shouldn't reach here")
+
+    def get_future_jobs(self):
+        now = datetime.now()
+        future_jobs = []
+        for start, end in self.periods:
+            if end > now:
+                future_jobs.append({
+                    "start": start,
+                    "end": end,
+                    "trigger": CronTrigger(year=end.year, month=end.month, day=end.day, hour=end.hour, minute=end.minute, second=end.second)
+                })
+        return future_jobs
+        
+    
+
diff --git a/src/tasks_beaverworx.py b/src/tasks_beaverworx.py
new file mode 100644
index 0000000..8805271
--- /dev/null
+++ b/src/tasks_beaverworx.py
@@ -0,0 +1,228 @@
+"""
+This module contains functions to manage job scheduling and execution for the Beaverworx bot. 
+It includes functionality to generate job periods based on specific weekday rules, queue jobs 
+for execution, and schedule future jobs.
+## Key Features:
+1. **Job Period Generation**:
+    - Generates job periods based on the weekday of the current date:
+      - **Thursday**: Creates a period from Thursday to Saturday.
+      - **Sunday**: Creates a period from Sunday to Wednesday.
+      - **Wednesday**: Creates a period from Wednesday to Thursday.
+2. **Catchup and Future Job Management**:
+    - Queues and executes past jobs.
+    - Schedules future jobs for execution at specified times.
+3. **Job Printing**:
+    - Provides functionality to print catchup jobs, future jobs, and scheduled jobs.
+4. **Programming-General Summary Scheduling**:
+    - Schedules a recurring job to summarize the "programming-general" channel every Monday at 5 PM.
+## Usage:
+This module is designed to be called from `main.py`. Ensure that `main.py` initializes and invokes 
+the appropriate functions from this module to manage job scheduling and execution.
+## Dependencies:
+- `apscheduler` for job scheduling.
+- `task_list.TaskList` for managing tasks.
+- `datetime` and `timedelta` for date and time manipulation.
+- `json` for handling payload configurations.
+- `logging` for logging events and debugging information.
+## Functions:
+- `generate_job_periods(start_date, end_date)`: Generates job periods based on weekday rules.
+- `perform_catchup_and_queue_future_jobs()`: Manages catchup jobs and schedules future jobs.
+- `print_jobs(ctx)`: Prints details of catchup, future, and scheduled jobs.
+- `schedule_programming_general_summary()`: Schedules a recurring job for the "programming-general" channel.
+## Notes:
+- Ensure that the `static/beaverworkx_payload.json` file exists and contains the default payload configuration.
+- This module relies on the `TaskList` class for task management and scheduling.
+# tasks_beaverworx.py
+# This module contains functions to manage job scheduling and execution for the Beaverworx bot.
+# It includes functionality to generate job periods based on specific weekday rules,
+
+# The periods are determined based on the weekday of the current date:
+- Thursday: Creates a period from Thursday to Saturday.
+- Sunday: Creates a period from Sunday to Wednesday.
+- Wednesday: Creates a period from Wednesday to Thursday.
+Args:
+    start_date (datetime): The starting date of the range.
+    end_date (datetime): The ending date of the range.
+Returns:
+    list: A list of tuples, where each tuple contains two datetime objects representing
+          the start and end of a job period.
+""" 
+
+import logging
+from time import sleep
+from src.task_list import TaskList
+from datetime import datetime, timedelta
+from calendar import THURSDAY, SUNDAY, WEDNESDAY
+import json
+
+from apscheduler.triggers.cron import CronTrigger
+
+# Configure logging
+logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
+logging = logging.getLogger(__name__)
+
+logging.info("Starting job queue process")
+
+# TODO: implement collection_name in saved file name.
+default_payload = json.load(open("/app/src/static/beaverworx_payload.json", "r"))
+task_list = TaskList(default_payload)
+
+# Set up the scheduler
+
+def generate_job_periods(start_date, end_date):
+
+    periods = []
+    logging.debug(periods)
+
+    current_date = start_date
+    while current_date <= end_date:
+        weekday = current_date.weekday()
+        new_period = None
+        if weekday == THURSDAY:  
+            new_period = (datetime.combine(current_date, datetime.min.time()), 
+                            datetime.combine(current_date + timedelta(days=2), datetime.max.time().replace(microsecond=0)))
+        elif weekday == SUNDAY:
+            new_period = (datetime.combine(current_date, datetime.min.time()), 
+                            datetime.combine(current_date + timedelta(days=3), datetime.max.time().replace(microsecond=0)))
+        elif weekday == WEDNESDAY:
+            new_period = (datetime.combine(current_date, datetime.min.time()), 
+                            datetime.combine(current_date + timedelta(days=1), datetime.max.time().replace(microsecond=0)))
+        if new_period and new_period not in periods:
+            periods.append(new_period)
+            logging.debug(f"Added {new_period} to list")
+        else:
+            logging.debug(f"Skipping {new_period} as already in list")
+        current_date += timedelta(days=1)
+
+    return periods
+
+
+def perform_catchup_and_queue_future_jobs():
+    """
+    Queue jobs for the TaskList class.
+    Do them if they are in the past
+    Queue future jobs to be done in the future.
+    """
+
+    # Example usage
+    start_date = datetime(2025, 1, 4)
+    end_date = datetime(2025, 4, 5)
+    sleep_between_past_jobs_seconds = 3
+    task_list.set_periods(
+        generate_job_periods(start_date, end_date)
+    )
+
+    next_catchup_job = task_list.get_next_catchup_job()
+
+    while next_catchup_job:
+        start, end = next_catchup_job["start"], next_catchup_job["end"]
+        logging.info(f"Next job period: {start.strftime('%Y-%m-%d %H:%M:%S')} to {end.strftime('%Y-%m-%d %H:%M:%S')}")
+
+        payload = task_list.default_payload.copy()
+        payload['starttime_to_summarize'] = start.strftime('%Y-%m-%d %H:%M:%S')
+        payload['endtime_to_summarize'] = end.strftime('%Y-%m-%d %H:%M:%S')
+        payload['document_id'] = f"{start.strftime('%Y-%m-%d')}_to_{end.strftime('%Y-%m-%d')}"
+        
+        result = task_list.perform_job(payload)
+        logging.debug(f"Result: {result}")
+
+        next_catchup_job = task_list.get_next_catchup_job()
+        logging.info(f"Next job: {next_catchup_job}")
+        if next_catchup_job:
+            logging.debug(f"Sleeping for {sleep_between_past_jobs_seconds} seconds")
+            sleep(sleep_between_past_jobs_seconds)
+        else:
+            logging.info("No more past jobs")
+
+    # Schedule future jobs
+
+    logging.info("Scheduling future jobs")
+    future_jobs = task_list.get_future_jobs()
+
+    for job in future_jobs:
+        start, end = job["start"], job["end"]
+        payload = task_list.default_payload.copy()
+        payload['starttime_to_summarize'] = start.strftime('%Y-%m-%d %H:%M:%S')
+        payload['endtime_to_summarize'] = end.strftime('%Y-%m-%d %H:%M:%S')
+        payload['document_id'] = f"{start.strftime('%Y-%m-%d')}_to_{end.strftime('%Y-%m-%d')}"
+        
+        logging.info(f"Scheduling for {end} the future job running from {start} to {end}")
+        task_list.scheduler.add_job(
+            task_list.perform_job,
+            'date',
+            run_date=end,
+            args=[payload]
+        )
+
+    # Print the jobs queued in the scheduler
+    jobs = task_list.scheduler.get_jobs()
+    for job in jobs:
+        logging.debug(f"Job id: {job.id}, name: {job.name}, trigger: {job.trigger}")
+
+# TODO consider if this bot method should be in the task_list class or elsewhere.
+async def print_jobs(ctx):
+    try:
+        await ctx.respond("Printing jobs", ephemeral=True)
+
+        await ctx.respond("# Jobs\n", ephemeral=True)
+
+        catchup_jobs = task_list.get_catchup_jobs()
+        await ctx.respond(f"**__Catchup Jobs__**:\n{catchup_jobs}", ephemeral=True)
+
+        future_jobs = task_list.get_future_jobs()
+        await ctx.respond(f"**__Future Jobs__**:\n{future_jobs}", ephemeral=True)
+
+        scheduled_jobs = task_list.scheduler.get_jobs()
+        await ctx.respond(f"**__Scheduled Jobs__**:\n{scheduled_jobs}", ephemeral=True)
+
+        jobs = catchup_jobs + future_jobs + scheduled_jobs
+
+        result = "\n".join(f"trigger: {job.trigger}" for job in jobs)
+            
+        await ctx.respond(f"**__Jobs__**:\n{result}", ephemeral=True)
+    except Exception as e:
+        logging.error(f"Error in print_jobs: {e}")
+        await ctx.respond(f"An error occurred: {e}", ephemeral=True)
+    
+
+
+def schedule_programming_general_summary():
+    """
+    Schedule a job to summarize the programming-general channel every Monday at 5pm.
+    """
+
+    payload = task_list.default_payload.copy()
+    payload['channels_to_include'] = ["programming-general"]
+    payload['document_id'] = "programming_general_summary"
+
+    trigger = CronTrigger(day_of_week='mon', hour=17, minute=0)
+    task_list.scheduler.add_job(
+        task_list.perform_job,
+        trigger,
+        args=[payload],
+        id='programming_general_summary'
+    )
+
+
+if __file__ == "__main__":
+    # Example usage of the functions
+    start_date = datetime.now()
+    end_date = start_date + timedelta(days=7)
+
+    # Generate job periods
+    periods = generate_job_periods(start_date, end_date)
+    logging.info(f"Generated job periods: {periods}")
+
+    # Perform catchup and queue future jobs
+    perform_catchup_and_queue_future_jobs()
+
+    # Print jobs (example context object)
+    class MockContext:
+        async def respond(self, message, ephemeral=False):
+            print(message)
+
+    ctx = MockContext()
+    print_jobs(ctx)
+
+
+
diff --git a/src/test/call-webhook1.py b/src/test/call-webhook1.py
new file mode 100644
index 0000000..783a034
--- /dev/null
+++ b/src/test/call-webhook1.py
@@ -0,0 +1,42 @@
+import json
+import sys
+import requests
+
+if len(sys.argv) != 2:
+    print("Usage: python call-webhook1.py <config_file>")
+    sys.exit(1)
+
+config_file = sys.argv[1] # e.g. "src/static/martin.json"
+
+# Read configuration values from martin.json
+with open(config_file, 'r') as config_file:
+    config = json.load(config_file)
+
+url = config['bot_webhook_server']
+
+
+print(f"For {url}, got: {config}") 
+
+# Create payload by copying config and removing 'bot_webhook_server'
+payload = {key: value for key, value in config.items() if key != 'bot_webhook_server'}
+
+
+if 'target_webhook' not in payload or payload['target_webhook'] is None:
+    print("No target webhook provided.")
+
+if 'guild_ids' not in payload:
+    print("No guild IDs provided.")
+
+print(f"Sending {payload} to {url}")
+ 
+# Define the URL and payload
+
+headers = {"Content-Type": "application/json"}
+
+
+# Make the POST request
+response = requests.post(url, headers=headers, json=payload)
+
+# Print the response
+print(f"Status Code: {response.status_code}")
+print(f"Response Body: {response.text}")
diff --git a/src/test/google_drive_test.py b/src/test/google_drive_test.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/test/pydrive_setup.py b/src/test/pydrive_setup.py
new file mode 100644
index 0000000..51e5eb6
--- /dev/null
+++ b/src/test/pydrive_setup.py
@@ -0,0 +1,6 @@
+from pydrive.auth import GoogleAuth
+from pydrive.drive import GoogleDrive
+
+gauth = GoogleAuth()
+gauth.LocalWebserverAuth()
+drive = GoogleDrive(gauth)
diff --git a/src/webhook.py b/src/webhook.py
new file mode 100644
index 0000000..7df22cd
--- /dev/null
+++ b/src/webhook.py
@@ -0,0 +1,230 @@
+# Handles incoming webhook requests,  Send response to a provided target webhook.
+
+from datetime import datetime
+import asyncio
+import logging
+import json
+
+# Flask inbound
+from flask import Flask, request
+
+# Outbound
+import requests
+from pydrive.auth import GoogleAuth
+from pydrive.drive import GoogleDrive
+
+from src.constants import MESSAGE_CHUNK_SIZE, LOG_DIAGNOSTICS_TO_CHANNEL
+
+# Flask setup
+app = Flask(__name__)
+
+# Setup logging
+logging.basicConfig(level=logging.DEBUG, handlers=[logging.StreamHandler()])
+
+# Flask route to handle incoming webhook
+@app.route('/webhook', methods=['POST'])
+def webhook():
+    """
+    Handle incoming webhook requests.
+    This function processes incoming JSON payloads from a webhook, extracts relevant information,
+    and performs various actions such as summarizing channels, logging diagnostic messages, and
+    sending messages to a target webhook.
+    The function expects the following keys in the incoming JSON payload:
+    - "guild_ids": List of guild IDs to process (default: empty list).
+    - "channels_to_summarize": List of channel IDs to summarize (default: empty list).
+    - "channels_to_exclude": List of channel IDs to exclude from summarization (default: empty list).
+    - "diagnostic_channel_id": ID of the diagnostic channel (default: 0).
+    - "time_period": Time period for summarization (default: "1d").
+    - "target_webhook": URL of the target webhook to send the summarized message (default: 0).
+    Returns:
+        tuple: A tuple containing a response message and an HTTP status code.
+    """
+
+    if app.bot:
+        logging.info("Bot variable exists")
+
+    # Parse the incoming JSON payload
+    request_payload = request.json
+    request_payload.pop('bot_webhook_server', None)
+
+
+
+
+
+    if not request_payload:
+        logging.info("No payload received.")
+    else:
+        # Extract useful information from the webhook payload
+        diagnostic_channel_id = request_payload.get("diagnostic_channel_id", 0)
+        if diagnostic_channel_id == 0:
+            diagnostic_channel_id = int(diagnostic_channel_id)
+        target_webhook = request_payload.get("target_webhook", 0)
+
+        # Using the bot's loop to run the coroutine
+        future = asyncio.run_coroutine_threadsafe(
+                app.summary_func(diagnostic_channel_id),
+                app.bot.loop
+        )      
+
+        result = future.result()
+
+        document_id = request_payload.get("document_id", 0)
+        if document_id == 0:
+            document_id = request_payload.get("starttime_to_summarize", "") + "-" + request_payload.get("endtime_to_summarize", "")
+            
+        if document_id:
+            result = f"Summary for document {document_id}:\n{result}"
+            request_payload["document_id"] = document_id
+        else:
+            logging.info("No document ID provided or constructable.")
+
+        #log_diagnostic_message(result)
+
+        if request_payload.get("google_folder_id", False):
+            write_file_to_google_drive(result, request_payload),
+        else:
+            logging.info("No Google Folder ID provided.")
+
+            
+        if target_webhook:
+            result = asyncio.run_coroutine_threadsafe(
+                send_message_to_webhook(result, target_webhook, request_payload),
+                app.bot.loop
+            )
+            logging.info(f"Sent message to target webhook {result}")
+        else:  
+            logging.info("No target webhook provided.")
+
+        result = {
+            "message": result,
+            "status": 200
+        }
+
+        logging.debug(f"Result: {result}")
+        return result
+
+
+async def send_message_to_webhook(message, target_webhook, incoming_payload):
+    """
+    Send a message to a specified webhook URL.
+    Args:
+        message (str): The message content to send to the webhook.
+        target_webhook (str): The URL of the target webhook.
+        payload (dict): Additional payload to send with the message.
+    Returns:
+        None
+    Logs diagnostic messages before and after sending the request. If no target webhook is provided, logs an info message and returns without sending the request.
+    """
+
+    if not target_webhook:
+        logging.info(f"No target webhook provided for {incoming_payload}.")
+        return
+
+    await log_diagnostic_message(f"Sending {json.dumps(incoming_payload, indent=2)} to {target_webhook}")
+
+
+    headers = {"Content-Type": "application/json"}
+    payload = {
+        "content": message,
+        "timestamp": datetime.now().replace(microsecond=0).isoformat() + "Z",  # Remove microseconds
+        "incoming_payload": incoming_payload
+    }
+
+    response = requests.post(target_webhook, headers=headers, json=payload)
+    
+    await log_diagnostic_message(f"Webhook response: {response.status_code}")
+
+# Send a diagnostic message to Discord from the bot
+async def log_diagnostic_message(message):
+    """
+    Send a diagnostic message to a specified Discord channel.
+    Args:
+        message (str): The diagnostic message content.
+    Returns:
+        None
+    Logs the diagnostic message and sends it to the specified Discord channel in chunks if necessary.
+    """
+    channel_id = app.diagnostic_channel_id
+    logging.info(f"Sending {message} to {channel_id}")
+
+    if not LOG_DIAGNOSTICS_TO_CHANNEL:
+        # If the diagnostics channel is not enabled, log the message and return
+        logging.info(f"Diagnostic {message}")
+        return
+
+    channel = app.bot.get_channel(channel_id)
+
+    message_chunks = [
+        message[i:i + MESSAGE_CHUNK_SIZE] 
+        for i in range(0, len(message), MESSAGE_CHUNK_SIZE)
+    ]
+    
+
+    if channel:
+        if message is None:
+            await channel.send("No message provided.")
+        else:
+            try:
+                for chunk in message_chunks:
+                    await channel.send(chunk)
+            except Exception as e:
+                logging.error(f"Error sending message to channel {channel_id}: {e}")
+                await channel.send(f"message about {channel_id} could not be sent: {e}")
+    else:
+        logging.info(f"Channel with ID {channel_id} not found.")
+
+def write_file_to_google_drive(message, payload):
+    """
+    Write a file to Google Drive.
+    Args:
+        document_id (str): The ID of the document to write to.
+        message (str): The message content to write to the document.
+        payload (dict): Additional payload to write to the document.
+    Returns:
+        None
+    Logs diagnostic messages before and after writing the file.
+    """
+    folder_id = payload.get("google_folder_id", "0")
+    document_id = payload.get("document_id", "0")
+
+    logging.info(f"Writing file to Google Drive for {document_id}")
+    logging.info(f"Google Folder ID: {folder_id}")
+    logging.debug(f"Payload: {json.dumps(payload, indent=2)}")
+
+    if not folder_id:
+        logging.error("No Google Folder ID provided.")
+        return
+    
+    if not document_id:
+        logging.error("No document ID provided")
+        return
+
+
+    # Write the message to a file
+    file_path = f"{document_id}.txt"
+
+    # Authenticate and create the PyDrive client
+    gauth = GoogleAuth()
+    gauth.LoadClientConfigFile("src/static/client_secrets.json")
+    gauth.LocalWebserverAuth()  # Creates local webserver and automatically handles authentication.
+    if gauth.credentials is None:
+        logging.error("Google Authentication failed")
+        return
+    elif gauth.credentials.access_token_expired:
+        logging.info("Google Access token expired, refreshing...")
+        gauth.Refresh()
+        logging.info("Google Token refreshed.")
+    else:
+        logging.info("Google Authentication successful.")
+        
+    
+    drive = GoogleDrive(gauth)
+
+    # Create a file and upload it to Google Drive
+    gfile = drive.CreateFile({'title': file_path,
+                              'parents': [{'id': folder_id}]
+                              })
+    gfile.SetContentString(message)
+    gfile.Upload()
+
+    logging.info(f"File {document_id}.txt uploaded to Google Drive")
diff --git a/tests/test_tasks_beaverworx.py b/tests/test_tasks_beaverworx.py
new file mode 100644
index 0000000..ceaa478
--- /dev/null
+++ b/tests/test_tasks_beaverworx.py
@@ -0,0 +1,81 @@
+import os
+import sys
+import warnings
+
+os.environ['OPENAI_API_KEY'] = "NOT GOING TO BE USED ANYWAY AS WE STUB THE CALL"
+warnings.filterwarnings("ignore", category=DeprecationWarning)
+
+# Add the src directory to the Python path
+folder=os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'src'))
+
+print(folder)
+sys.path.append(folder)
+
+import pytest
+from datetime import datetime, timedelta
+from apscheduler.triggers.cron import CronTrigger
+
+
+@pytest.fixture
+def mock_summary_for_internal_call():
+    with patch('main.summary_for_internal_call', MagicMock()) as mock:
+        yield mock
+
+
+
+from task_list import TaskList
+from unittest.mock import patch, MagicMock
+
+
+
+
+@pytest.fixture
+def task_list():
+    # Set up a default payload and initialize the TaskList instance
+    default_payload = {
+        "diagnostic_channel_id": 12345,
+        "bot_webhook_server": "http://example.com/webhook"
+    }
+    return TaskList(default_payload)
+
+def test_get_future_jobs(task_list):
+    # Set up test periods
+    now = datetime.now()
+    future_time_1 = now + timedelta(days=1)
+    future_time_2 = now + timedelta(days=2)
+    task_list.set_periods([(now, future_time_1), (now, future_time_2)])
+
+    # Get future jobs
+    future_jobs = task_list.get_future_jobs()
+
+    # Verify the number of future jobs
+    assert len(future_jobs) == 2
+
+    # Verify the details of the first future job
+    job_1 = future_jobs[0]
+    assert job_1["start"] == now
+    assert job_1["end"] == future_time_1
+    assert isinstance(job_1["trigger"], CronTrigger)
+
+    # Verify the details of the second future job
+    job_2 = future_jobs[1]
+    assert job_2["start"] == now
+    assert job_2["end"] == future_time_2
+    assert isinstance(job_2["trigger"], CronTrigger)
+
+def test_save_and_load_task_list(task_list):
+    # Set up test periods
+    now = datetime.now()
+    future_time_1 = now + timedelta(days=1)
+    future_time_2 = now + timedelta(days=2)
+    task_list.set_periods([(now, future_time_1), (now, future_time_2)])
+
+    # Save the task list
+    task_list.save_task_list()
+
+    # Create a new TaskList instance and load the task list
+    new_task_list = TaskList(task_list.default_payload)
+    new_task_list.load_task_list()
+
+    # Verify the loaded periods
+    assert new_task_list.periods == [(now, future_time_1), (now, future_time_2)]
\ No newline at end of file
diff --git a/uv.lock b/uv.lock
deleted file mode 100644
index f9f7f5a..0000000
--- a/uv.lock
+++ /dev/null
@@ -1,1128 +0,0 @@
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-    "python_full_version < '3.13' and platform_python_implementation == 'PyPy'",
-    "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
-]
-
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-version = "2.4.4"
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