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SPEC.md

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+# Project Specification: LLM-Powered Monitoring Agent
+
+## 1. Project Goal
+
+The primary goal of this project is to develop a self-contained Python script, `monitor_agent.py`, that functions as a monitoring agent. This agent will collect system and network data, use a locally hosted Large Language Model (LLM) to analyze the data for anomalies, and send alerts through Discord and Home Assistant if an anomaly is detected.
+
+## 2. Core Components
+
+The project will be composed of the following files:
+
+- **`monitor_agent.py`**: The main Python script containing the core logic for data collection, analysis, and alerting.
+- **`config.py`**: A configuration file to store sensitive information and settings, such as API keys and URLs.
+- **`requirements.txt`**: A file listing all the necessary Python libraries for the project.
+- **`README.md`**: A documentation file providing an overview of the project, setup instructions, and usage examples.
+- **`.gitignore`**: A file to specify which files and directories should be ignored by Git.
+- **`PROGRESS.md`**: A file to track the development progress of the project.
+
+## 3. Functional Requirements
+
+### 3.1. Configuration
+
+- The agent must load configuration from `config.py`.
+- The configuration shall include placeholders for:
+    - `DISCORD_WEBHOOK_URL`
+    - `HOME_ASSISTANT_URL`
+    - `HOME_ASSISTANT_TOKEN`
+    - `GOOGLE_HOME_SPEAKER_ID`
+    - `DAILY_RECAP_TIME`
+
+### 3.2. Data Ingestion and Parsing
+
+- The agent must be able to collect and parse system logs.
+- The agent must be able to collect and parse network metrics.
+- The parsing of this data should result in a structured format (JSON or Python dictionary).
+
+### 3.3. LLM Analysis
+
+- The agent must use a local LLM (via Ollama) to analyze the collected data.
+- The agent must construct a specific prompt to guide the LLM in identifying anomalies.
+- The LLM's response will be either "OK" (no anomaly) or a natural language paragraph describing the anomaly, including a severity level (high, medium, low).
+
+### 3.4. Alerting
+
+- The agent must be able to send alerts to a Discord webhook.
+- The agent must be able to trigger a text-to-speech (TTS) alert on a Google Home speaker via Home Assistant.
+
+### 3.5. Alerting Logic
+
+- Immediate alerts (Discord and Home Assistant) will only be sent for "high" severity anomalies.
+- A daily recap of all anomalies (high, medium, and low) will be sent at a configurable time.
+
+### 3.6. Main Loop
+
+- The agent will run in a continuous loop.
+- The loop will execute the data collection, analysis, and alerting steps periodically.
+- The frequency of the monitoring loop will be configurable.
+
+## 4. Future Features
+
+- **4.1. Data Storage and Averaging**: Store historical system data to calculate baseline averages for more accurate anomaly detection.
+
+## 5. Technical Requirements
+
+- **Language**: Python 3.8+
+- **LLM**: `llama3.1:8b` running on a local Ollama instance.
+- **Libraries**:
+    - `ollama`
+    - `discord-webhook`
+    - `requests`
+    - `syslog-rfc5424-parser`
+    - `apachelogs`
+    - `jc`
+
+## 6. Project Structure
+
+```
+/
+├── .gitignore
+├── config.py
+├── monitor_agent.py
+├── PROMPT.md
+├── README.md
+├── requirements.txt
+├── PROGRESS.md
+└── SPEC.md
+```