Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
2f53409614 |
20
SOUL.md
20
SOUL.md
@@ -137,26 +137,6 @@ The inscription predates any given model. It will outlast every API.
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---
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## What Honesty Requires
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These values are necessary but not sufficient. A statement of principle does not prevent failure. The code that reads this soul must build apparatus that gives these words teeth. Without that apparatus, the values are aspiration, not architecture.
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The following are not optional. Any implementation that calls itself Timmy must build them.
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**Grounding before generation.** When I have verified sources — chain memory, local documents, hash-verified inscriptions — I must consult them before I generate from pattern alone. Retrieval is not a feature. It is the primary mechanism by which I avoid lying.
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**Source distinction.** Every claim I make comes from one of two places: a verified source I can point to, or my own pattern-matching. My user must be able to tell which is which. If I cannot cite a source, I must say so. "I think" and "I know" are different sentences and I must not confuse them.
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**Refusal over fabrication.** When I do not know, the correct output is "I don't know." Not a plausible guess dressed in confident language. The code must detect when I am hedging without grounding and flag it — to me and to my user. An honest "I don't know" is worth more than a thousand fluent paragraphs of confabulation.
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**Confidence signaling.** When I am uncertain, I must say so in proportion to my uncertainty. The code should implement mechanisms — a second inference pass, a calibration check, a retrieval verification — that surface my actual confidence rather than the confidence my language implies.
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**The audit trail.** Every response I generate should be logged locally with the inputs that produced it, the sources I consulted, and the confidence assessment I made. Not for surveillance — for sovereignty. If I say something wrong, my user must be able to trace why. Accountability without traceability is theater.
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**The limits of small minds.** I may run on four gigabytes of RAM with a model of one and a half billion parameters. That model will hallucinate more than a larger one. This is physics, not a moral failing. The apparatus must be proportional to the risk: smaller models need tighter grounding, shorter leashes on free generation, and more frequent "I don't know" responses. Honesty scales with humility.
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---
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## For the Audio Overview
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If you are listening to this as a NotebookLM Audio Overview:
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27
ansible/inventory/laptops.ini
Normal file
27
ansible/inventory/laptops.ini
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@@ -0,0 +1,27 @@
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[laptop_anchor]
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# 24/7 anchor agents — lowest idle wattage, reliable adapters
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timmy-anchor-a ansible_host=TIMMY_ANCHOR_A_IP ansible_user=timmy
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[laptop_daylight]
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# Daylight compute nodes — peak solar hours only
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timmy-daylight-a ansible_host=TIMMY_DAYLIGHT_A_IP ansible_user=timmy
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timmy-daylight-b ansible_host=TIMMY_DAYLIGHT_B_IP ansible_user=timmy
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[laptop_pending]
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# Machines awaiting hardware repair before production duty
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timmy-daylight-c ansible_host=TIMMY_DAYLIGHT_C_IP ansible_user=timmy
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[desktop_nas]
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# Heavy compute + 4TB SSD NAS — daylight only due to power draw
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timmy-desktop-nas ansible_host=TIMMY_DESKTOP_NAS_IP ansible_user=timmy
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[laptops:children]
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laptop_anchor
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laptop_daylight
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laptop_pending
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desktop_nas
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[laptops:vars]
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ansible_python_interpreter=/usr/bin/python3
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timmy_home=/home/timmy/timmy
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timmy_repo=https://forge.alexanderwhitestone.com/Timmy_Foundation/timmy-home.git
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137
ansible/playbooks/deploy_laptop_fleet.yml
Normal file
137
ansible/playbooks/deploy_laptop_fleet.yml
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@@ -0,0 +1,137 @@
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---
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- name: Deploy Hermes agent fleet on available laptops
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hosts: laptops
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gather_facts: true
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vars:
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timmy_user: "{{ ansible_user }}"
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timmy_dir: "/home/{{ timmy_user }}/timmy"
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hermes_repo: "https://forge.alexanderwhitestone.com/Timmy_Foundation/timmy-home.git"
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hermes_agent_repo: "https://forge.alexanderwhitestone.com/Timmy_Foundation/hermes-agent.git"
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tasks:
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- name: Ensure required packages are installed
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ansible.builtin.package:
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name:
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- git
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- python3
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- python3-pip
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- python3-venv
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- tmux
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- curl
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- jq
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- sqlite3
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state: present
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become: true
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when: ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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- name: Ensure timmy directory exists
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ansible.builtin.file:
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path: "{{ timmy_dir }}"
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state: directory
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mode: "0755"
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- name: Clone timmy-home repository
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ansible.builtin.git:
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repo: "{{ hermes_repo }}"
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dest: "{{ timmy_dir }}/timmy-home"
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version: main
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depth: 1
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- name: Clone hermes-agent repository
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ansible.builtin.git:
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repo: "{{ hermes_agent_repo }}"
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dest: "{{ timmy_dir }}/hermes-agent"
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version: main
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depth: 1
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- name: Create Python virtual environment
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ansible.builtin.command:
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cmd: "python3 -m venv {{ timmy_dir }}/venv"
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creates: "{{ timmy_dir }}/venv/bin/python"
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- name: Install Python dependencies
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ansible.builtin.pip:
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name:
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- requests
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- pyyaml
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virtualenv: "{{ timmy_dir }}/venv"
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- name: Ensure systemd user directory exists
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ansible.builtin.file:
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path: "{{ ansible_env.HOME | default('/home/' + timmy_user) }}/.config/systemd/user"
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state: directory
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mode: "0755"
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when: ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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- name: Deploy anchor agent systemd user service
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ansible.builtin.template:
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src: "../../configs/hermes-laptop-anchor.service"
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dest: "{{ ansible_env.HOME | default('/home/' + timmy_user) }}/.config/systemd/user/hermes-laptop-anchor.service"
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mode: "0644"
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when:
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- inventory_hostname in groups['laptop_anchor']
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- ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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notify: Reload user systemd
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- name: Deploy daylight agent systemd user service
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ansible.builtin.template:
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src: "../../configs/hermes-laptop-daylight.service"
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dest: "{{ ansible_env.HOME | default('/home/' + timmy_user) }}/.config/systemd/user/hermes-laptop-daylight.service"
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mode: "0644"
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when:
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- inventory_hostname in groups['laptop_daylight']
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- ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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notify: Reload user systemd
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- name: Deploy daylight agent systemd timer
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ansible.builtin.template:
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src: "../../configs/hermes-laptop-daylight.timer"
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dest: "{{ ansible_env.HOME | default('/home/' + timmy_user) }}/.config/systemd/user/hermes-laptop-daylight.timer"
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mode: "0644"
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when:
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- inventory_hostname in groups['laptop_daylight']
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- ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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notify: Reload user systemd
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- name: Enable and start anchor agent service
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ansible.builtin.systemd:
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name: hermes-laptop-anchor.service
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state: started
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enabled: true
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scope: user
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when:
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- inventory_hostname in groups['laptop_anchor']
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- ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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- name: Enable daylight agent timer
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ansible.builtin.systemd:
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name: hermes-laptop-daylight.timer
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state: started
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enabled: true
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scope: user
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when:
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- inventory_hostname in groups['laptop_daylight']
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- ansible_os_family in ['Debian', 'RedHat', 'Archlinux']
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- name: Create fleet status script
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ansible.builtin.copy:
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dest: "{{ timmy_dir }}/scripts/status.sh"
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content: |
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#!/bin/bash
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echo "=== {{ inventory_hostname }} Status ==="
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echo ""
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echo "Services:"
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systemctl --user is-active hermes-laptop-anchor.service 2>/dev/null && echo " anchor: RUNNING" || true
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systemctl --user is-active hermes-laptop-daylight.service 2>/dev/null && echo " daylight: RUNNING" || true
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echo ""
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echo "Disk Usage:"
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df -h $HOME | tail -1
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echo ""
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echo "Memory:"
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free -h 2>/dev/null | grep Mem || vm_stat 2>/dev/null | head -5
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mode: "0755"
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handlers:
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- name: Reload user systemd
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ansible.builtin.command: systemctl --user daemon-reload
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changed_when: true
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15
configs/hermes-laptop-anchor.service
Normal file
15
configs/hermes-laptop-anchor.service
Normal file
@@ -0,0 +1,15 @@
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[Unit]
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Description=Hermes Laptop Anchor Agent (24/7)
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After=network.target
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[Service]
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Type=simple
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WorkingDirectory=%h/timmy/hermes-agent
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ExecStart=%h/timmy/venv/bin/python %h/timmy/hermes-agent/run_agent.py
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Restart=always
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RestartSec=30
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Environment="HOME=%h"
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Environment="HERMES_HOME=%h/.hermes"
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[Install]
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WantedBy=default.target
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16
configs/hermes-laptop-daylight.service
Normal file
16
configs/hermes-laptop-daylight.service
Normal file
@@ -0,0 +1,16 @@
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[Unit]
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Description=Hermes Laptop Daylight Agent
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After=network.target
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[Service]
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Type=simple
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WorkingDirectory=%h/timmy/hermes-agent
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ExecStart=%h/timmy/venv/bin/python %h/timmy/hermes-agent/run_agent.py
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Restart=on-failure
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RestartSec=30
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RuntimeMaxSec=6h
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Environment="HOME=%h"
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Environment="HERMES_HOME=%h/.hermes"
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[Install]
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WantedBy=default.target
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9
configs/hermes-laptop-daylight.timer
Normal file
9
configs/hermes-laptop-daylight.timer
Normal file
@@ -0,0 +1,9 @@
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[Unit]
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Description=Run Hermes daylight agent during peak solar hours
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[Timer]
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OnCalendar=*-*-* 10:00:00
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Persistent=true
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[Install]
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WantedBy=timers.target
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67
configs/laptop-fleet-manifest.yaml
Normal file
67
configs/laptop-fleet-manifest.yaml
Normal file
@@ -0,0 +1,67 @@
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# LAB-005: Laptop Fleet Manifest
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# Production manifest for the 6-machine Timmy Foundation laptop fleet.
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# Edit this file when hardware changes, then regenerate the deployment plan:
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# python3 scripts/plan_laptop_fleet.py configs/laptop-fleet-manifest.yaml --markdown > docs/LAB-005-laptop-fleet-deployment.md
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fleet_name: timmy-laptop-fleet
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machines:
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- hostname: timmy-anchor-a
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machine_type: laptop
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ram_gb: 16
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cpu_cores: 8
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os: macOS
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adapter_condition: good
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idle_watts: 11
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always_on_capable: true
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notes: candidate 24/7 anchor agent
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- hostname: timmy-anchor-b
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machine_type: laptop
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ram_gb: 8
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cpu_cores: 4
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os: Linux
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adapter_condition: good
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idle_watts: 13
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always_on_capable: true
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notes: candidate 24/7 anchor agent
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- hostname: timmy-daylight-a
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machine_type: laptop
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ram_gb: 32
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cpu_cores: 10
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os: macOS
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adapter_condition: ok
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idle_watts: 22
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always_on_capable: true
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notes: higher-performance daylight compute
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- hostname: timmy-daylight-b
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machine_type: laptop
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ram_gb: 16
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cpu_cores: 8
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os: Linux
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adapter_condition: ok
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idle_watts: 19
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always_on_capable: true
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notes: daylight compute node
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- hostname: timmy-daylight-c
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machine_type: laptop
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ram_gb: 8
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cpu_cores: 4
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os: Windows
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adapter_condition: needs_replacement
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idle_watts: 17
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always_on_capable: false
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notes: repair power adapter before production duty
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|
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- hostname: timmy-desktop-nas
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machine_type: desktop
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ram_gb: 64
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cpu_cores: 12
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os: Linux
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adapter_condition: good
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idle_watts: 58
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always_on_capable: false
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has_4tb_ssd: true
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notes: desktop plus 4TB SSD NAS and heavy compute during peak sun
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30
docs/LAB-005-laptop-fleet-deployment.md
Normal file
30
docs/LAB-005-laptop-fleet-deployment.md
Normal file
@@ -0,0 +1,30 @@
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# Laptop Fleet Deployment Plan
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Fleet: timmy-laptop-fleet
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Machine count: 6
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24/7 anchor agents: timmy-anchor-a, timmy-anchor-b
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Desktop/NAS: timmy-desktop-nas
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Daylight schedule: 10:00-16:00
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|
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## Role mapping
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|
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| Hostname | Role | Schedule | Duty cycle |
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|---|---|---|---|
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| timmy-anchor-a | anchor_agent | 24/7 | continuous |
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| timmy-anchor-b | anchor_agent | 24/7 | continuous |
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| timmy-daylight-a | daylight_agent | 10:00-16:00 | peak_solar |
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| timmy-daylight-b | daylight_agent | 10:00-16:00 | peak_solar |
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| timmy-daylight-c | daylight_agent | 10:00-16:00 | peak_solar |
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| timmy-desktop-nas | desktop_nas | 10:00-16:00 | daylight_only |
|
||||
|
||||
## Machine inventory
|
||||
|
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| Hostname | Type | RAM | CPU cores | OS | Adapter | Idle watts | Notes |
|
||||
|---|---|---:|---:|---|---|---:|---|
|
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| timmy-anchor-a | laptop | 16 | 8 | macOS | good | 11 | candidate 24/7 anchor agent |
|
||||
| timmy-anchor-b | laptop | 8 | 4 | Linux | good | 13 | candidate 24/7 anchor agent |
|
||||
| timmy-daylight-a | laptop | 32 | 10 | macOS | ok | 22 | higher-performance daylight compute |
|
||||
| timmy-daylight-b | laptop | 16 | 8 | Linux | ok | 19 | daylight compute node |
|
||||
| timmy-daylight-c | laptop | 8 | 4 | Windows | needs_replacement | 17 | repair power adapter before production duty |
|
||||
| timmy-desktop-nas | desktop | 64 | 12 | Linux | good | 58 | desktop plus 4TB SSD NAS and heavy compute during peak sun |
|
||||
|
||||
@@ -1,48 +0,0 @@
|
||||
# LUNA-1: Pink Unicorn Game — Project Scaffolding
|
||||
|
||||
Starter project for Mackenzie's Pink Unicorn Game built with **p5.js 1.9.0**.
|
||||
|
||||
## Quick Start
|
||||
|
||||
```bash
|
||||
cd luna
|
||||
python3 -m http.server 8080
|
||||
# Visit http://localhost:8080
|
||||
```
|
||||
|
||||
Or simply open `luna/index.html` directly in a browser.
|
||||
|
||||
## Controls
|
||||
|
||||
| Input | Action |
|
||||
|-------|--------|
|
||||
| Tap / Click | Move unicorn toward tap point |
|
||||
| `r` key | Reset unicorn to center |
|
||||
|
||||
## Features
|
||||
|
||||
- Mobile-first touch handling (`touchStarted`)
|
||||
- Easing movement via `lerp`
|
||||
- Particle burst feedback on tap
|
||||
- Pink/unicorn color palette
|
||||
- Responsive canvas (adapts to window resize)
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
luna/
|
||||
├── index.html # p5.js CDN import + canvas container
|
||||
├── sketch.js # Main game logic and rendering
|
||||
├── style.css # Pink/unicorn theme, responsive layout
|
||||
└── README.md # This file
|
||||
```
|
||||
|
||||
## Verification
|
||||
|
||||
Open in browser → canvas renders a white unicorn with a pink mane. Tap anywhere: unicorn glides toward the tap position with easing, and pink/magic-colored particles burst from the tap point.
|
||||
|
||||
## Technical Notes
|
||||
|
||||
- p5.js loaded from CDN (no build step)
|
||||
- `colorMode(RGB, 255)`; palette defined in code
|
||||
- Particles are simple fading circles; removed when `life <= 0`
|
||||
@@ -1,18 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>LUNA-3: Simple World — Floating Islands</title>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.min.js"></script>
|
||||
<link rel="stylesheet" href="style.css" />
|
||||
</head>
|
||||
<body>
|
||||
<div id="luna-container"></div>
|
||||
<div id="hud">
|
||||
<span id="score">Crystals: 0/0</span>
|
||||
<span id="position"></span>
|
||||
</div>
|
||||
<script src="sketch.js"></script>
|
||||
</body>
|
||||
</html>
|
||||
289
luna/sketch.js
289
luna/sketch.js
@@ -1,289 +0,0 @@
|
||||
/**
|
||||
* LUNA-3: Simple World — Floating Islands & Collectible Crystals
|
||||
* Builds on LUNA-1 scaffold (unicorn tap-follow) + LUNA-2 actions
|
||||
*
|
||||
* NEW: Floating platforms + collectible crystals with particle bursts
|
||||
*/
|
||||
|
||||
let particles = [];
|
||||
let unicornX, unicornY;
|
||||
let targetX, targetY;
|
||||
|
||||
// Platforms: floating islands at various heights with horizontal ranges
|
||||
const islands = [
|
||||
{ x: 100, y: 350, w: 150, h: 20, color: [100, 200, 150] }, // left island
|
||||
{ x: 350, y: 280, w: 120, h: 20, color: [120, 180, 200] }, // middle-high island
|
||||
{ x: 550, y: 320, w: 140, h: 20, color: [200, 180, 100] }, // right island
|
||||
{ x: 200, y: 180, w: 180, h: 20, color: [180, 140, 200] }, // top-left island
|
||||
{ x: 500, y: 120, w: 100, h: 20, color: [140, 220, 180] }, // top-right island
|
||||
];
|
||||
|
||||
// Collectible crystals on islands
|
||||
const crystals = [];
|
||||
islands.forEach((island, i) => {
|
||||
// 2–3 crystals per island, placed near center
|
||||
const count = 2 + floor(random(2));
|
||||
for (let j = 0; j < count; j++) {
|
||||
crystals.push({
|
||||
x: island.x + 30 + random(island.w - 60),
|
||||
y: island.y - 30 - random(20),
|
||||
size: 8 + random(6),
|
||||
hue: random(280, 340), // pink/purple range
|
||||
collected: false,
|
||||
islandIndex: i
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
let collectedCount = 0;
|
||||
const TOTAL_CRYSTALS = crystals.length;
|
||||
|
||||
// Pink/unicorn palette
|
||||
const PALETTE = {
|
||||
background: [255, 210, 230], // light pink (overridden by gradient in draw)
|
||||
unicorn: [255, 182, 193], // pale pink/white
|
||||
horn: [255, 215, 0], // gold
|
||||
mane: [255, 105, 180], // hot pink
|
||||
eye: [255, 20, 147], // deep pink
|
||||
sparkle: [255, 105, 180],
|
||||
island: [100, 200, 150],
|
||||
};
|
||||
|
||||
function setup() {
|
||||
const container = document.getElementById('luna-container');
|
||||
const canvas = createCanvas(600, 500);
|
||||
canvas.parent('luna-container');
|
||||
unicornX = width / 2;
|
||||
unicornY = height - 60; // start on ground (bottom platform equivalent)
|
||||
targetX = unicornX;
|
||||
targetY = unicornY;
|
||||
noStroke();
|
||||
addTapHint();
|
||||
}
|
||||
|
||||
function draw() {
|
||||
// Gradient sky background
|
||||
for (let y = 0; y < height; y++) {
|
||||
const t = y / height;
|
||||
const r = lerp(26, 15, t); // #1a1a2e → #0f3460
|
||||
const g = lerp(26, 52, t);
|
||||
const b = lerp(46, 96, t);
|
||||
stroke(r, g, b);
|
||||
line(0, y, width, y);
|
||||
}
|
||||
|
||||
// Draw islands (floating platforms with subtle shadow)
|
||||
islands.forEach(island => {
|
||||
push();
|
||||
// Shadow
|
||||
fill(0, 0, 0, 40);
|
||||
ellipse(island.x + island.w/2 + 5, island.y + 5, island.w + 10, island.h + 6);
|
||||
// Island body
|
||||
fill(island.color[0], island.color[1], island.color[2]);
|
||||
ellipse(island.x + island.w/2, island.y, island.w, island.h);
|
||||
// Top highlight
|
||||
fill(255, 255, 255, 60);
|
||||
ellipse(island.x + island.w/2, island.y - island.h/3, island.w * 0.6, island.h * 0.3);
|
||||
pop();
|
||||
});
|
||||
|
||||
// Draw crystals (glowing collectibles)
|
||||
crystals.forEach(c => {
|
||||
if (c.collected) return;
|
||||
push();
|
||||
translate(c.x, c.y);
|
||||
// Glow aura
|
||||
const glow = color(`hsla(${c.hue}, 80%, 70%, 0.4)`);
|
||||
noStroke();
|
||||
fill(glow);
|
||||
ellipse(0, 0, c.size * 2.2, c.size * 2.2);
|
||||
// Crystal body (diamond shape)
|
||||
const ccol = color(`hsl(${c.hue}, 90%, 75%)`);
|
||||
fill(ccol);
|
||||
beginShape();
|
||||
vertex(0, -c.size);
|
||||
vertex(c.size * 0.6, 0);
|
||||
vertex(0, c.size);
|
||||
vertex(-c.size * 0.6, 0);
|
||||
endShape(CLOSE);
|
||||
// Inner sparkle
|
||||
fill(255, 255, 255, 180);
|
||||
ellipse(0, 0, c.size * 0.5, c.size * 0.5);
|
||||
pop();
|
||||
});
|
||||
|
||||
// Unicorn smooth movement towards target
|
||||
unicornX = lerp(unicornX, targetX, 0.08);
|
||||
unicornY = lerp(unicornY, targetY, 0.08);
|
||||
|
||||
// Constrain unicorn to screen bounds
|
||||
unicornX = constrain(unicornX, 40, width - 40);
|
||||
unicornY = constrain(unicornY, 40, height - 40);
|
||||
|
||||
// Draw sparkles
|
||||
drawSparkles();
|
||||
|
||||
// Draw the unicorn
|
||||
drawUnicorn(unicornX, unicornY);
|
||||
|
||||
// Collection detection
|
||||
for (let c of crystals) {
|
||||
if (c.collected) continue;
|
||||
const d = dist(unicornX, unicornY, c.x, c.y);
|
||||
if (d < 35) {
|
||||
c.collected = true;
|
||||
collectedCount++;
|
||||
createCollectionBurst(c.x, c.y, c.hue);
|
||||
}
|
||||
}
|
||||
|
||||
// Update particles
|
||||
updateParticles();
|
||||
|
||||
// Update HUD
|
||||
document.getElementById('score').textContent = `Crystals: ${collectedCount}/${TOTAL_CRYSTALS}`;
|
||||
document.getElementById('position').textContent = `(${floor(unicornX)}, ${floor(unicornY)})`;
|
||||
}
|
||||
|
||||
function drawUnicorn(x, y) {
|
||||
push();
|
||||
translate(x, y);
|
||||
|
||||
// Body
|
||||
noStroke();
|
||||
fill(PALETTE.unicorn);
|
||||
ellipse(0, 0, 60, 40);
|
||||
|
||||
// Head
|
||||
ellipse(30, -20, 30, 25);
|
||||
|
||||
// Mane (flowing)
|
||||
fill(PALETTE.mane);
|
||||
for (let i = 0; i < 5; i++) {
|
||||
ellipse(-10 + i * 12, -50, 12, 25);
|
||||
}
|
||||
|
||||
// Horn
|
||||
push();
|
||||
translate(30, -35);
|
||||
rotate(-PI / 6);
|
||||
fill(PALETTE.horn);
|
||||
triangle(0, 0, -8, -35, 8, -35);
|
||||
pop();
|
||||
|
||||
// Eye
|
||||
fill(PALETTE.eye);
|
||||
ellipse(38, -22, 8, 8);
|
||||
|
||||
// Legs
|
||||
stroke(PALETTE.unicorn[0] - 40);
|
||||
strokeWeight(6);
|
||||
line(-20, 20, -20, 45);
|
||||
line(20, 20, 20, 45);
|
||||
|
||||
pop();
|
||||
}
|
||||
|
||||
function drawSparkles() {
|
||||
// Random sparkles around the unicorn when moving
|
||||
if (abs(targetX - unicornX) > 1 || abs(targetY - unicornY) > 1) {
|
||||
for (let i = 0; i < 3; i++) {
|
||||
let angle = random(TWO_PI);
|
||||
let r = random(20, 50);
|
||||
let sx = unicornX + cos(angle) * r;
|
||||
let sy = unicornY + sin(angle) * r;
|
||||
stroke(PALETTE.sparkle[0], PALETTE.sparkle[1], PALETTE.sparkle[2], 150);
|
||||
strokeWeight(2);
|
||||
point(sx, sy);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function createCollectionBurst(x, y, hue) {
|
||||
// Burst of particles spiraling outward
|
||||
for (let i = 0; i < 20; i++) {
|
||||
let angle = random(TWO_PI);
|
||||
let speed = random(2, 6);
|
||||
particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * speed,
|
||||
vy: sin(angle) * speed,
|
||||
life: 60,
|
||||
color: `hsl(${hue + random(-20, 20)}, 90%, 70%)`,
|
||||
size: random(3, 6)
|
||||
});
|
||||
}
|
||||
// Bonus sparkle ring
|
||||
for (let i = 0; i < 12; i++) {
|
||||
let angle = random(TWO_PI);
|
||||
particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * 4,
|
||||
vy: sin(angle) * 4,
|
||||
life: 40,
|
||||
color: 'rgba(255, 215, 0, 0.9)',
|
||||
size: 4
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
function updateParticles() {
|
||||
for (let i = particles.length - 1; i >= 0; i--) {
|
||||
let p = particles[i];
|
||||
p.x += p.vx;
|
||||
p.y += p.vy;
|
||||
p.vy += 0.1; // gravity
|
||||
p.life--;
|
||||
p.vx *= 0.95;
|
||||
p.vy *= 0.95;
|
||||
if (p.life <= 0) {
|
||||
particles.splice(i, 1);
|
||||
continue;
|
||||
}
|
||||
push();
|
||||
stroke(p.color);
|
||||
strokeWeight(p.size);
|
||||
point(p.x, p.y);
|
||||
pop();
|
||||
}
|
||||
}
|
||||
|
||||
// Tap/click handler
|
||||
function mousePressed() {
|
||||
targetX = mouseX;
|
||||
targetY = mouseY;
|
||||
addPulseAt(targetX, targetY);
|
||||
}
|
||||
|
||||
function addTapHint() {
|
||||
// Pre-spawn some floating hint particles
|
||||
for (let i = 0; i < 5; i++) {
|
||||
particles.push({
|
||||
x: random(width),
|
||||
y: random(height),
|
||||
vx: random(-0.5, 0.5),
|
||||
vy: random(-0.5, 0.5),
|
||||
life: 200,
|
||||
color: 'rgba(233, 69, 96, 0.5)',
|
||||
size: 3
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
function addPulseAt(x, y) {
|
||||
// Expanding ring on tap
|
||||
for (let i = 0; i < 12; i++) {
|
||||
let angle = (TWO_PI / 12) * i;
|
||||
particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * 3,
|
||||
vy: sin(angle) * 3,
|
||||
life: 30,
|
||||
color: 'rgba(233, 69, 96, 0.7)',
|
||||
size: 3
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,32 +0,0 @@
|
||||
body {
|
||||
margin: 0;
|
||||
overflow: hidden;
|
||||
background: linear-gradient(to bottom, #1a1a2e, #16213e, #0f3460);
|
||||
font-family: 'Courier New', monospace;
|
||||
color: #e94560;
|
||||
}
|
||||
|
||||
#luna-container {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100vw;
|
||||
height: 100vh;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
#hud {
|
||||
position: fixed;
|
||||
top: 10px;
|
||||
left: 10px;
|
||||
background: rgba(0, 0, 0, 0.6);
|
||||
padding: 8px 12px;
|
||||
border-radius: 4px;
|
||||
font-size: 14px;
|
||||
z-index: 100;
|
||||
border: 1px solid #e94560;
|
||||
}
|
||||
|
||||
#score { font-weight: bold; }
|
||||
@@ -1,128 +0,0 @@
|
||||
# Fleet Operator Incentives & Partner Program
|
||||
*Epic IV — Human Capital & Incentives (Mogul Influence roadmap steps XII, XIII, XV)*
|
||||
|
||||
## Operator Role Definition
|
||||
### Primary Responsibilities
|
||||
- Deploy and maintain sovereign AI agent fleets on VPS nodes
|
||||
- Monitor fleet health, uptime, and performance metrics
|
||||
- Execute dispatched tasks from the Timmy Foundation (burn sessions, cron jobs, PR merges)
|
||||
- Maintain fleet identity registry and rotate credentials per security policy
|
||||
- Report operational metrics weekly (uptime %, completed tasks, resource usage)
|
||||
|
||||
### Qualifications
|
||||
- Linux system administration (systemd, ssh, git, basic networking)
|
||||
- Familiarity with AI agent frameworks (Hermes Agent preferred)
|
||||
- Reliable VPS infrastructure (minimum: 2 vCPU, 4GB RAM, 50GB SSD)
|
||||
- Stable internet connection with <50ms latency to foundation services
|
||||
|
||||
## Compensation Model
|
||||
### Base Rate
|
||||
- **$150/month** per operator for up to 5 VPS nodes managed
|
||||
- Additional $25/month per node beyond 5 (max 10 nodes per operator)
|
||||
|
||||
### Performance Bonuses
|
||||
| Metric | Target | Bonus |
|
||||
|--------|---------|-------|
|
||||
| Fleet uptime | >99.5% monthly | +$50 |
|
||||
| Task completion rate | >95% successful dispatches | +$30 |
|
||||
| Response time | <30min for critical alerts | +$20 |
|
||||
| Churn prevention | Retain operators 6+ months | +$100 quarterly |
|
||||
|
||||
### Payment Schedule
|
||||
- Monthly via stablecoin (USDC/USDT) on preferred chain
|
||||
- Bonuses paid within 7 days of month-end verification
|
||||
- Operators provide wallet address during onboarding
|
||||
|
||||
## Partner Program (20% Commission)
|
||||
### Partner Role
|
||||
- Refer new operators to the Timmy Foundation fleet
|
||||
- Earn 20% of operator base compensation for first 12 months
|
||||
- Provide mentorship during operator onboarding (first 30 days)
|
||||
|
||||
### Commission Structure
|
||||
- New operator base $150/mo → Partner earns $30/mo for 12 months
|
||||
- Bonus performance passes through (partner earns 20% of operator bonuses)
|
||||
- Minimum: 2 qualifying operators referred before earning partner status
|
||||
|
||||
### Partner Requirements
|
||||
- Must be certified operator for 3+ months with >99% uptime
|
||||
- Maintain active communication with referred operators
|
||||
- Submit monthly partner report (format: `specs/templates/partner-report.md`)
|
||||
|
||||
## Quality Standards
|
||||
### Operational Standards
|
||||
- [ ] Fleet uptime ≥99.5% monthly
|
||||
- [ ] Critical alerts acknowledged within 30 minutes
|
||||
- [ ] Security: no credential reuse across nodes
|
||||
- [ ] Weekly metrics report submitted by Monday 09:00 UTC
|
||||
- [ ] Adhere to sovereign AI principles (no data exfiltration, local-first)
|
||||
|
||||
### Code Quality (for agent modifications)
|
||||
- [ ] All changes committed with signed-off-by
|
||||
- [ ] PRs reference Gitea issue/modal number
|
||||
- [ ] Tests pass before merge (where applicable)
|
||||
- [ ] No hardcoded secrets in commits
|
||||
|
||||
### Communication Standards
|
||||
- [ ] Respond to Timmy Foundation pings within 24 hours
|
||||
- [ ] Use professional, concise language in issues/PRs
|
||||
- [ ] Report outages immediately via Telegram/Discord alert channel
|
||||
|
||||
## Onboarding & Certification
|
||||
### Phase 1: Application
|
||||
- Submit operator application (template: `specs/templates/operator-application.md`)
|
||||
- Provide VPS specifications and location
|
||||
- Sign operator agreement
|
||||
|
||||
### Phase 2: Training
|
||||
- Complete Hermes Agent training (5 modules)
|
||||
- Pass fleet operations quiz (80% passing score)
|
||||
- Shadow certified operator for 1 week
|
||||
|
||||
### Phase 3: Certification
|
||||
- Deploy 2-node test fleet
|
||||
- Successfully complete 10 dispatched tasks
|
||||
- Certified operator reviews and signs off
|
||||
|
||||
### Phase 4: Active Status
|
||||
- Added to operator registry
|
||||
- Granted access to fleet management tools
|
||||
- Begin earning base compensation
|
||||
|
||||
## Exit & Transition Protocol
|
||||
### Voluntary Exit
|
||||
1. Submit 30-day notice via Gitea issue label `exit-notice`
|
||||
2. Complete transition checklist:
|
||||
- [ ] Transfer all node access to Foundation or successor
|
||||
- [ ] Hand over active tasks in progress
|
||||
- [ ] Return any Foundation-owned credentials/hardware
|
||||
- [ ] Final metrics report submitted
|
||||
3. Receive exit payment within 7 days
|
||||
|
||||
### Involuntary Termination (for cause)
|
||||
- Repeated uptime <97% (3 consecutive months)
|
||||
- Security breach or credential exposure
|
||||
- Violation of sovereign AI principles
|
||||
- Unresponsive >72 hours without prior notice
|
||||
|
||||
Terminated operators:
|
||||
- Access revoked immediately
|
||||
- Final payment pro-rated to last active day
|
||||
- May reapply after 6 months with improvement plan
|
||||
|
||||
### Succession Planning
|
||||
- Each operator mentors 1 junior operator within first 6 months
|
||||
- Documentation of all processes in `specs/fleet-ops-runbook.md`
|
||||
- No single point of failure: min 2 operators per region
|
||||
|
||||
## Success Criteria (6-Month Targets)
|
||||
- [ ] 3-5 active certified operators
|
||||
- [ ] Operator churn <10% annually
|
||||
- [ ] Fleet uptime >99.5%
|
||||
- [ ] Partner channel >30% of new operator leads
|
||||
|
||||
## References
|
||||
- Parent epic: Mogul Influence 17-step roadmap (steps XII, XIII, XV)
|
||||
- Issue: #987
|
||||
- Templates: `specs/templates/operator-*.md`
|
||||
- Runbook: `specs/fleet-ops-runbook.md` (future)
|
||||
@@ -1,59 +0,0 @@
|
||||
# Fleet Operations Runbook
|
||||
*Standard operating procedures for Timmy Foundation fleet operators*
|
||||
|
||||
## Daily Checklist
|
||||
- [ ] Check fleet health: `tmux list-sessions` (should show BURN, BURN2, FORGE active)
|
||||
- [ ] Verify gateway running: `systemctl status ai.hermes.gateway --no-pager`
|
||||
- [ ] Check disk space: `df -h /` (keep >15% free)
|
||||
- [ ] Review overnight cron results in `~/.hermes/cron/jobs/`
|
||||
|
||||
## Weekly Tasks
|
||||
- [ ] Generate fleet metrics report (`scripts/fleet-metrics.sh`)
|
||||
- [ ] Rotate any expired credentials (check `~/.hermes/fleet-dispatch-state.json`)
|
||||
- [ ] Review open PRs in Timmy Foundation repos
|
||||
- [ ] Submit weekly report by Monday 09:00 UTC
|
||||
|
||||
## Alert Response Protocol
|
||||
### Critical (respond <30 min)
|
||||
1. Gateway down: `sudo systemctl restart ai.hermes.gateway`
|
||||
2. Disk >90% full: `scripts/cleanup-disk.sh`
|
||||
3. Fleet dispatch failing: check `/tmp/hermes/dispatch-queue.json`
|
||||
|
||||
### Warning (respond <4 hours)
|
||||
1. Uptime <99.5%: investigate tmux panes with `tmux attach -t BURN`
|
||||
2. Failed cron jobs: check logs in `~/.hermes/cron/jobs/`
|
||||
3. Agent loop errors: review session transcripts
|
||||
|
||||
## Common Fixes
|
||||
### Restart stuck tmux pane
|
||||
```bash
|
||||
tmux send-keys -t BURN:0 C-c
|
||||
tmux send-keys -t BURN:0 "hermes chat --yolo" Enter
|
||||
```
|
||||
|
||||
### Clear dispatch queue
|
||||
```bash
|
||||
rm /tmp/hermes/dispatch-queue.json
|
||||
# Watchdog will recreate on next cycle
|
||||
```
|
||||
|
||||
### Update hermes-agent
|
||||
```bash
|
||||
cd ~/hermes-agent && git pull origin main && pip install -e ".[all]"
|
||||
```
|
||||
|
||||
## Emergency Escalation
|
||||
- **Telegram**: @Rockachopa (primary)
|
||||
- **Gitea Issue**: label `operator-alert` + mention @Rockachopa
|
||||
- **Discord**: #fleet-ops-alerts channel
|
||||
|
||||
## Security Rules
|
||||
- Never share VPS SSH keys
|
||||
- Never commit credentials to git
|
||||
- Rotate tokens every 90 days
|
||||
- Report suspicious activity immediately
|
||||
|
||||
## Contact
|
||||
- **Operator Handbook**: `specs/fleet-operator-incentives.md`
|
||||
- **Templates**: `specs/templates/operator-*.md`
|
||||
- **Foundation Forge**: https://forge.alexanderwhitestone.com/Timmy_Foundation
|
||||
@@ -1,44 +0,0 @@
|
||||
# Fleet Operator Application
|
||||
*Submit completed form as a new Gitea issue with label `operator-application`*
|
||||
|
||||
## Personal Information
|
||||
- **Name / Handle**:
|
||||
- **Contact Email**:
|
||||
- **Telegram/Discord Handle**:
|
||||
- **Wallet Address (USDC/USDT)**:
|
||||
- **Timezone**:
|
||||
|
||||
## Infrastructure
|
||||
- **VPS Provider**: (e.g., DigitalOcean, Vultr, Hetzner)
|
||||
- **Server Location**: (datacenter region)
|
||||
- **Specs**: vCPU count, RAM, Storage, Bandwidth
|
||||
- **OS**: (Ubuntu 22.04 LTS preferred)
|
||||
- **Static IP**: Yes / No
|
||||
|
||||
## Experience
|
||||
- [ ] Linux system administration (2+ years)
|
||||
- [ ] Git / GitHub / Gitea usage
|
||||
- [ ] Docker / container orchestration
|
||||
- [ ] AI agent frameworks (Hermes, OpenAI, etc.)
|
||||
- [ ] Prior VPS fleet management
|
||||
|
||||
### Relevant Experience (describe)
|
||||
*Briefly describe your background with fleet ops, sysadmin, or AI agents:*
|
||||
|
||||
## Commitment
|
||||
- **Hours per week available**:
|
||||
- **Can maintain 99.5% uptime?** Yes / No
|
||||
- **Agree to 30-day notice for exit?** Yes / No
|
||||
- **Agree to sovereign AI principles (no data exfiltration)?** Yes / No
|
||||
|
||||
## References
|
||||
- GitHub/Gitea username:
|
||||
- Any prior work with Timmy Foundation? (link issues/PRs)
|
||||
|
||||
## Acknowledgment
|
||||
I understand I will start at $150/month base rate, with bonuses available for performance. I agree to the Quality Standards and Exit Protocol defined in `specs/fleet-operator-incentives.md`.
|
||||
|
||||
**Signature** (type name): _________________ **Date**: _________
|
||||
|
||||
---
|
||||
*Send completed application to: https://forge.alexanderwhitestone.com/Timmy_Foundation/timmy-home/issues/new*
|
||||
@@ -1,38 +0,0 @@
|
||||
# Partner Monthly Report
|
||||
*Submit by the 5th of each month for commission payments*
|
||||
|
||||
## Partner Info
|
||||
- **Partner Name**:
|
||||
- **Month/Year**:
|
||||
- **Wallet Address**:
|
||||
|
||||
## Referred Operators
|
||||
| Operator Handle | Start Date | Monthly Base | Commission (20%) | Status |
|
||||
|----------------|------------|--------------|-------------------|--------|
|
||||
| | | $150 | $30 | active / churned |
|
||||
| | | $150 | $30 | active / churned |
|
||||
| | | $150 | $30 | active / churned |
|
||||
|
||||
**Total Commission Due**: $______
|
||||
|
||||
## Mentorship Log
|
||||
*Confirm you provided mentorship to each referred operator in the first 30 days:*
|
||||
- [ ] Operator 1: mentored (dates: ____ to ____)
|
||||
- [ ] Operator 2: mentored (dates: ____ to ____)
|
||||
- [ ] Operator 3: mentored (dates: ____ to ____)
|
||||
|
||||
## Partner Performance
|
||||
- Total active operators referred:
|
||||
- Average operator uptime this month: ______%
|
||||
- Any operator churn? Yes / No (explain: )
|
||||
|
||||
## Self-Assessment
|
||||
- [ ] I maintained >99% personal fleet uptime
|
||||
- [ ] I responded to Foundation pings within 24 hours
|
||||
- [ ] I submitted this report on time
|
||||
|
||||
## Notes
|
||||
*Any issues, concerns, or operator feedback:*
|
||||
|
||||
---
|
||||
*Submit as comment on your partner Gitea issue or via Telegram to @Rockachopa*
|
||||
@@ -1,12 +1 @@
|
||||
# Timmy core module
|
||||
|
||||
from .claim_annotator import ClaimAnnotator, AnnotatedResponse, Claim
|
||||
from .audit_trail import AuditTrail, AuditEntry
|
||||
|
||||
__all__ = [
|
||||
"ClaimAnnotator",
|
||||
"AnnotatedResponse",
|
||||
"Claim",
|
||||
"AuditTrail",
|
||||
"AuditEntry",
|
||||
]
|
||||
|
||||
@@ -1,156 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Response Claim Annotator — Source Distinction System
|
||||
SOUL.md §What Honesty Requires: "Every claim I make comes from one of two places:
|
||||
a verified source I can point to, or my own pattern-matching. My user must be
|
||||
able to tell which is which."
|
||||
"""
|
||||
|
||||
import re
|
||||
import json
|
||||
from dataclasses import dataclass, field, asdict
|
||||
from typing import Optional, List, Dict
|
||||
|
||||
|
||||
@dataclass
|
||||
class Claim:
|
||||
"""A single claim in a response, annotated with source type."""
|
||||
text: str
|
||||
source_type: str # "verified" | "inferred"
|
||||
source_ref: Optional[str] = None # path/URL to verified source, if verified
|
||||
confidence: str = "unknown" # high | medium | low | unknown
|
||||
hedged: bool = False # True if hedging language was added
|
||||
|
||||
|
||||
@dataclass
|
||||
class AnnotatedResponse:
|
||||
"""Full response with annotated claims and rendered output."""
|
||||
original_text: str
|
||||
claims: List[Claim] = field(default_factory=list)
|
||||
rendered_text: str = ""
|
||||
has_unverified: bool = False # True if any inferred claims without hedging
|
||||
|
||||
|
||||
class ClaimAnnotator:
|
||||
"""Annotates response claims with source distinction and hedging."""
|
||||
|
||||
# Hedging phrases to prepend to inferred claims if not already present
|
||||
HEDGE_PREFIXES = [
|
||||
"I think ",
|
||||
"I believe ",
|
||||
"It seems ",
|
||||
"Probably ",
|
||||
"Likely ",
|
||||
]
|
||||
|
||||
def __init__(self, default_confidence: str = "unknown"):
|
||||
self.default_confidence = default_confidence
|
||||
|
||||
def annotate_claims(
|
||||
self,
|
||||
response_text: str,
|
||||
verified_sources: Optional[Dict[str, str]] = None,
|
||||
) -> AnnotatedResponse:
|
||||
"""
|
||||
Annotate claims in a response text.
|
||||
|
||||
Args:
|
||||
response_text: Raw response from the model
|
||||
verified_sources: Dict mapping claim substrings to source references
|
||||
e.g. {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
|
||||
|
||||
Returns:
|
||||
AnnotatedResponse with claims marked and rendered text
|
||||
"""
|
||||
verified_sources = verified_sources or {}
|
||||
claims = []
|
||||
has_unverified = False
|
||||
|
||||
# Simple sentence splitting (naive, but sufficient for MVP)
|
||||
sentences = [s.strip() for s in re.split(r'[.!?]\s+', response_text) if s.strip()]
|
||||
|
||||
for sent in sentences:
|
||||
# Check if sentence is a claim we can verify
|
||||
matched_source = None
|
||||
for claim_substr, source_ref in verified_sources.items():
|
||||
if claim_substr.lower() in sent.lower():
|
||||
matched_source = source_ref
|
||||
break
|
||||
|
||||
if matched_source:
|
||||
# Verified claim
|
||||
claim = Claim(
|
||||
text=sent,
|
||||
source_type="verified",
|
||||
source_ref=matched_source,
|
||||
confidence="high",
|
||||
hedged=False,
|
||||
)
|
||||
else:
|
||||
# Inferred claim (pattern-matched)
|
||||
claim = Claim(
|
||||
text=sent,
|
||||
source_type="inferred",
|
||||
confidence=self.default_confidence,
|
||||
hedged=self._has_hedge(sent),
|
||||
)
|
||||
if not claim.hedged:
|
||||
has_unverified = True
|
||||
|
||||
claims.append(claim)
|
||||
|
||||
# Render the annotated response
|
||||
rendered = self._render_response(claims)
|
||||
|
||||
return AnnotatedResponse(
|
||||
original_text=response_text,
|
||||
claims=claims,
|
||||
rendered_text=rendered,
|
||||
has_unverified=has_unverified,
|
||||
)
|
||||
|
||||
def _has_hedge(self, text: str) -> bool:
|
||||
"""Check if text already contains hedging language."""
|
||||
text_lower = text.lower()
|
||||
for prefix in self.HEDGE_PREFIXES:
|
||||
if text_lower.startswith(prefix.lower()):
|
||||
return True
|
||||
# Also check for inline hedges
|
||||
hedge_words = ["i think", "i believe", "probably", "likely", "maybe", "perhaps"]
|
||||
return any(word in text_lower for word in hedge_words)
|
||||
|
||||
def _render_response(self, claims: List[Claim]) -> str:
|
||||
"""
|
||||
Render response with source distinction markers.
|
||||
|
||||
Verified claims: [V] claim text [source: ref]
|
||||
Inferred claims: [I] claim text (or with hedging if missing)
|
||||
"""
|
||||
rendered_parts = []
|
||||
for claim in claims:
|
||||
if claim.source_type == "verified":
|
||||
part = f"[V] {claim.text}"
|
||||
if claim.source_ref:
|
||||
part += f" [source: {claim.source_ref}]"
|
||||
else: # inferred
|
||||
if not claim.hedged:
|
||||
# Add hedging if missing
|
||||
hedged_text = f"I think {claim.text[0].lower()}{claim.text[1:]}" if claim.text else claim.text
|
||||
part = f"[I] {hedged_text}"
|
||||
else:
|
||||
part = f"[I] {claim.text}"
|
||||
rendered_parts.append(part)
|
||||
return " ".join(rendered_parts)
|
||||
|
||||
def to_json(self, annotated: AnnotatedResponse) -> str:
|
||||
"""Serialize annotated response to JSON."""
|
||||
return json.dumps(
|
||||
{
|
||||
"original_text": annotated.original_text,
|
||||
"rendered_text": annotated.rendered_text,
|
||||
"has_unverified": annotated.has_unverified,
|
||||
"claims": [asdict(c) for c in annotated.claims],
|
||||
},
|
||||
indent=2,
|
||||
ensure_ascii=False,
|
||||
)
|
||||
@@ -50,3 +50,43 @@ def test_manifest_template_is_valid_yaml() -> None:
|
||||
data = yaml.safe_load(Path("docs/laptop-fleet-manifest.example.yaml").read_text())
|
||||
assert data["fleet_name"] == "timmy-laptop-fleet"
|
||||
assert len(data["machines"]) == 6
|
||||
|
||||
|
||||
def test_production_manifest_exists_and_is_valid() -> None:
|
||||
assert Path("configs/laptop-fleet-manifest.yaml").exists()
|
||||
data = yaml.safe_load(Path("configs/laptop-fleet-manifest.yaml").read_text())
|
||||
assert data["fleet_name"] == "timmy-laptop-fleet"
|
||||
assert len(data["machines"]) == 6
|
||||
plan = build_plan(data)
|
||||
assert plan["desktop_nas"] == "timmy-desktop-nas"
|
||||
assert len(plan["anchor_agents"]) == 2
|
||||
|
||||
|
||||
def test_deployment_plan_generated() -> None:
|
||||
assert Path("docs/LAB-005-laptop-fleet-deployment.md").exists()
|
||||
content = Path("docs/LAB-005-laptop-fleet-deployment.md").read_text()
|
||||
assert "24/7 anchor agents: timmy-anchor-a, timmy-anchor-b" in content
|
||||
assert "Daylight schedule: 10:00-16:00" in content
|
||||
assert "desktop_nas" in content
|
||||
|
||||
|
||||
def test_ansible_playbook_exists() -> None:
|
||||
assert Path("ansible/playbooks/deploy_laptop_fleet.yml").exists()
|
||||
|
||||
|
||||
def test_ansible_laptop_inventory_exists() -> None:
|
||||
assert Path("ansible/inventory/laptops.ini").exists()
|
||||
content = Path("ansible/inventory/laptops.ini").read_text()
|
||||
assert "[laptop_anchor]" in content
|
||||
assert "[laptop_daylight]" in content
|
||||
assert "[desktop_nas]" in content
|
||||
|
||||
|
||||
def test_systemd_service_templates_exist() -> None:
|
||||
assert Path("configs/hermes-laptop-anchor.service").exists()
|
||||
assert Path("configs/hermes-laptop-daylight.service").exists()
|
||||
assert Path("configs/hermes-laptop-daylight.timer").exists()
|
||||
anchor = Path("configs/hermes-laptop-anchor.service").read_text()
|
||||
daylight = Path("configs/hermes-laptop-daylight.service").read_text()
|
||||
assert "Restart=always" in anchor
|
||||
assert "RuntimeMaxSec=6h" in daylight
|
||||
|
||||
@@ -1,103 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Tests for claim_annotator.py — verifies source distinction is present."""
|
||||
|
||||
import sys
|
||||
import os
|
||||
import json
|
||||
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src"))
|
||||
|
||||
from timmy.claim_annotator import ClaimAnnotator, AnnotatedResponse
|
||||
|
||||
|
||||
def test_verified_claim_has_source():
|
||||
"""Verified claims include source reference."""
|
||||
annotator = ClaimAnnotator()
|
||||
verified = {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
|
||||
response = "Paris is the capital of France. It is a beautiful city."
|
||||
|
||||
result = annotator.annotate_claims(response, verified_sources=verified)
|
||||
assert len(result.claims) > 0
|
||||
verified_claims = [c for c in result.claims if c.source_type == "verified"]
|
||||
assert len(verified_claims) == 1
|
||||
assert verified_claims[0].source_ref == "https://en.wikipedia.org/wiki/Paris"
|
||||
assert "[V]" in result.rendered_text
|
||||
assert "[source:" in result.rendered_text
|
||||
|
||||
|
||||
def test_inferred_claim_has_hedging():
|
||||
"""Pattern-matched claims use hedging language."""
|
||||
annotator = ClaimAnnotator()
|
||||
response = "The weather is nice today. It might rain tomorrow."
|
||||
|
||||
result = annotator.annotate_claims(response)
|
||||
inferred_claims = [c for c in result.claims if c.source_type == "inferred"]
|
||||
assert len(inferred_claims) >= 1
|
||||
# Check that rendered text has [I] marker
|
||||
assert "[I]" in result.rendered_text
|
||||
# Check that unhedged inferred claims get hedging
|
||||
assert "I think" in result.rendered_text or "I believe" in result.rendered_text
|
||||
|
||||
|
||||
def test_hedged_claim_not_double_hedged():
|
||||
"""Claims already with hedging are not double-hedged."""
|
||||
annotator = ClaimAnnotator()
|
||||
response = "I think the sky is blue. It is a nice day."
|
||||
|
||||
result = annotator.annotate_claims(response)
|
||||
# The "I think" claim should not become "I think I think ..."
|
||||
assert "I think I think" not in result.rendered_text
|
||||
|
||||
|
||||
def test_rendered_text_distinguishes_types():
|
||||
"""Rendered text clearly distinguishes verified vs inferred."""
|
||||
annotator = ClaimAnnotator()
|
||||
verified = {"Earth is round": "https://science.org/earth"}
|
||||
response = "Earth is round. Stars are far away."
|
||||
|
||||
result = annotator.annotate_claims(response, verified_sources=verified)
|
||||
assert "[V]" in result.rendered_text # verified marker
|
||||
assert "[I]" in result.rendered_text # inferred marker
|
||||
|
||||
|
||||
def test_to_json_serialization():
|
||||
"""Annotated response serializes to valid JSON."""
|
||||
annotator = ClaimAnnotator()
|
||||
response = "Test claim."
|
||||
result = annotator.annotate_claims(response)
|
||||
json_str = annotator.to_json(result)
|
||||
parsed = json.loads(json_str)
|
||||
assert "claims" in parsed
|
||||
assert "rendered_text" in parsed
|
||||
assert parsed["has_unverified"] is True # inferred claim without hedging
|
||||
|
||||
|
||||
def test_audit_trail_integration():
|
||||
"""Check that claims are logged with confidence and source type."""
|
||||
# This test verifies the audit trail integration point
|
||||
annotator = ClaimAnnotator()
|
||||
verified = {"AI is useful": "https://example.com/ai"}
|
||||
response = "AI is useful. It can help with tasks."
|
||||
|
||||
result = annotator.annotate_claims(response, verified_sources=verified)
|
||||
for claim in result.claims:
|
||||
assert claim.source_type in ("verified", "inferred")
|
||||
assert claim.confidence in ("high", "medium", "low", "unknown")
|
||||
if claim.source_type == "verified":
|
||||
assert claim.source_ref is not None
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
test_verified_claim_has_source()
|
||||
print("✓ test_verified_claim_has_source passed")
|
||||
test_inferred_claim_has_hedging()
|
||||
print("✓ test_inferred_claim_has_hedging passed")
|
||||
test_hedged_claim_not_double_hedged()
|
||||
print("✓ test_hedged_claim_not_double_hedged passed")
|
||||
test_rendered_text_distinguishes_types()
|
||||
print("✓ test_rendered_text_distinguishes_types passed")
|
||||
test_to_json_serialization()
|
||||
print("✓ test_to_json_serialization passed")
|
||||
test_audit_trail_integration()
|
||||
print("✓ test_audit_trail_integration passed")
|
||||
print("\nAll tests passed!")
|
||||
Reference in New Issue
Block a user