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The first scored eval run (39/45) caught two example defects: a user asking about the help example's own topic got the example's invented UI detail parroted back without a search, so the example now carries true content from the real certificates doc on a topic users rarely lead with; and list-style answers dropped WROLPi links because the research example only showed links in prose, so its answer now models a numbered list with a link per item. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
153 lines
7.8 KiB
Python
153 lines
7.8 KiB
Python
"""Chat modes: a mode is a system prompt plus a tool allowlist, enforced server-side in the agent
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loop — the model cannot opt out. Tool names are the /api/ai blueprint's operationIds."""
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COMMON_PROMPT = (
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'You are the WROLPi assistant, running locally on the user\'s own offline WROLPi server.'
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' WROLPi is an off-grid digital library: videos, archived web pages, ebooks, Zim encyclopedias,'
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' maps, and inventories. You have no internet access.'
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' Answer briefly and plainly. Use the provided tools to find real information before answering;'
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' never invent library content or system state.'
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)
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MODES = {
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'help': dict(
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system_prompt=(
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f'{COMMON_PROMPT}'
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' Your job is to teach the user how to use WROLPi.'
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' You do NOT know how WROLPi works from memory: before answering ANY question, you MUST'
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' first call search_help, then read the matching page with get_help_doc, and answer only'
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' from what the docs actually say. Always include the link of every help page you used.'
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' If the docs do not cover the question, say so.'
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),
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tools=(
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'search_help',
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'get_help_doc',
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'get_system_status',
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),
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),
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'research': dict(
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system_prompt=(
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f'{COMMON_PROMPT}'
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' Your job is to be the librarian: find and summarize content from the user\'s library.'
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' Search first, then read captions, page text, or entries when the user wants detail.'
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' When the user asks about a channel, website, or their whole library, call'
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' list_collections first to learn the exact names (spellings often differ).'
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' list_collections only gives names — it never tells you what content exists. You have'
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' not summarized a channel until you have called search_videos with its channel_id (and'
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' NO search_str) and read the resulting titles.'
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' To browse everything of one kind (e.g. "summarize my archives"), call the search tool'
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' WITHOUT search_str — that lists the newest items.'
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' When a search finds nothing, do not give up: retry with fewer or different words, or'
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' browse with list_collections.'
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' ALWAYS include the WROLPi link for every item you mention, exactly as the tools return it.'
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' Never give external URLs. When a search returns a large total, narrow the query instead'
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' of paging.'
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),
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tools=(
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'search_all',
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'search_videos',
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'get_video',
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'get_video_captions',
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'search_archives',
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'get_archive_text',
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'search_docs',
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'get_doc',
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'list_zims',
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'search_zims',
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'get_zim_entry',
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'list_collections',
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'list_inventories',
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'get_inventory',
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'read_file',
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),
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),
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'system': dict(
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system_prompt=(
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f'{COMMON_PROMPT}'
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' Your job is to troubleshoot the user\'s WROLPi.'
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' Start every diagnosis with get_system_status; read a failing service\'s logs with'
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' get_service_logs; check drives with list_disks.'
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' You CANNOT execute commands or change anything — you can only read.'
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' Only suggest commands that appear in the help documentation: find them with search_help,'
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' quote them exactly, and include the help page link.'
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),
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tools=(
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'get_system_status',
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'list_services',
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'get_service_logs',
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'list_disks',
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'search_help',
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'get_help_doc',
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),
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),
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}
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def _example(*messages) -> list:
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"""A compact worked exchange (user -> tool call -> tool result -> answer) prepended to every
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conversation. Small models imitate far better than they obey; one example per mode is what
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stops them answering from memory or quitting after the first tool call."""
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return list(messages)
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def _tool_call(call_id: str, name: str, arguments: str) -> dict:
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return dict(role='assistant', content=None, tool_calls=[
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dict(id=call_id, type='function', function=dict(name=name, arguments=arguments))])
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def _tool_result(call_id: str, content: str) -> dict:
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return dict(role='tool', tool_call_id=call_id, content=content)
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MODE_EXAMPLES = {
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# The example's content must be TRUE (from the real help docs): when a user asks about the
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# example's topic, a small model may answer straight from it without searching.
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'help': _example(
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dict(role='user', content='Why does my browser warn about the certificate?'),
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_tool_call('ex_help_1', 'search_help', '{"search_str": "certificate"}'),
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_tool_result('ex_help_1',
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'{"results": [{"slug": "system/certificates", "title": "HTTPS Certificates",'
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' "link": "/system/certificates/",'
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' "snippet": "…WROLPi generates its own Root CA certificate…"}], "total": 1}'),
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_tool_call('ex_help_2', 'get_help_doc', '{"slug": "system/certificates"}'),
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_tool_result('ex_help_2',
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'{"content": "# HTTPS Certificates\\nWROLPi is offline, so it cannot use a public'
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' certificate authority. It generates its own Root CA certificate which you install'
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' once on each device that connects to it.", "next_offset": null, "total_chars": 205}'),
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dict(role='assistant', content='WROLPi is offline, so it cannot use a public certificate'
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' authority; it signs its own certificate with a Root CA that you'
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' install once on each device. The HTTPS Certificates help page'
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' explains how: /system/certificates/'),
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),
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'research': _example(
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dict(role='user', content='Summarize the bakehouse channel'),
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_tool_call('ex_res_1', 'list_collections', '{"kind": "channel"}'),
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_tool_result('ex_res_1',
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'{"results": [{"id": 7, "name": "Bakehouse", "kind": "channel",'
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' "link": "/videos/channel/7/video"}], "total": 1}'),
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_tool_call('ex_res_2', 'search_videos', '{"channel_id": 7}'),
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_tool_result('ex_res_2',
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'{"results": [{"id": 12, "kind": "video", "title": "Sourdough Basics",'
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' "link": "/videos/12", "channel": "Bakehouse", "duration": 900}], "total": 1}'),
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dict(role='assistant', content='The Bakehouse channel (/videos/channel/7/video) has one video:\\n'
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'1. **Sourdough Basics** (/videos/12) — a 15 minute introduction'
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' to sourdough baking.'),
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),
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'system': _example(
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dict(role='user', content='Is everything running?'),
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_tool_call('ex_sys_1', 'get_system_status', '{}'),
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_tool_result('ex_sys_1',
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'{"version": "0.28", "wrol_mode": false, "services": [{"name": "wrolpi-api",'
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' "status": "running"}, {"name": "wrolpi-kiwix", "status": "failed"}], "errors": []}'),
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dict(role='assistant', content='Almost: wrolpi-kiwix has failed; everything else is running.'
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' I can read its logs to find out why.'),
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),
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}
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# Suggestion chips shown by the Chat tab; small models do much better when the opening message
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# matches what the mode's prompt was tuned for.
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MODE_SUGGESTIONS = {
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'help': ['How do I download videos?', 'How do I add my own files?', 'What are Tags?'],
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'research': ['Find videos about canning', 'What do I have about gardening?', 'Summarize my newest archives'],
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'system': ['Why is my drive full?', 'Is everything running?', 'Why do downloads fail?'],
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}
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