+2

apps/agent/__init__.py

reviewed

··· 1 1 + # SPDX-License-Identifier: AGPL-3.0-only 2 2 + # Copyright (c) 2026 sol pbc

+97

apps/agent/call.py

reviewed

··· 1 1 + # SPDX-License-Identifier: AGPL-3.0-only 2 2 + # Copyright (c) 2026 sol pbc 3 3 + 4 4 + """CLI commands for the agent identity system. 5 5 + 6 6 + Auto-discovered by ``think.call`` and mounted as ``sol call agent ...``. 7 7 + """ 8 8 + 9 9 + import json 10 10 + from datetime import datetime, timezone 11 11 + from pathlib import Path 12 12 + 13 13 + import typer 14 14 + 15 15 + app = typer.Typer(help="Agent identity — name and status.") 16 16 + 17 17 + 18 18 + def _get_agent_config() -> dict: 19 19 + """Read agent config from journal config.""" 20 20 + from think.utils import get_config 21 21 + 22 22 + return get_config().get( 23 23 + "agent", 24 24 + { 25 25 + "name": "sol", 26 26 + "name_status": "default", 27 27 + "named_date": None, 28 28 + "proposal_count": 0, 29 29 + }, 30 30 + ) 31 31 + 32 32 + 33 33 + def _update_agent_config(updates: dict) -> dict: 34 34 + """Update agent config in journal.json and return the full agent block.""" 35 35 + from think.utils import get_config, get_journal 36 36 + 37 37 + config = get_config() 38 38 + agent = config.get( 39 39 + "agent", 40 40 + { 41 41 + "name": "sol", 42 42 + "name_status": "default", 43 43 + "named_date": None, 44 44 + "proposal_count": 0, 45 45 + }, 46 46 + ) 47 47 + agent.update(updates) 48 48 + config["agent"] = agent 49 49 + 50 50 + config_path = Path(get_journal()) / "config" / "journal.json" 51 51 + config_path.parent.mkdir(parents=True, exist_ok=True) 52 52 + with open(config_path, "w", encoding="utf-8") as f: 53 53 + json.dump(config, f, indent=2) 54 54 + f.write("\n") 55 55 + 56 56 + return agent 57 57 + 58 58 + 59 59 + @app.command("name") 60 60 + def name() -> None: 61 61 + """Show the current agent name and status.""" 62 62 + agent = _get_agent_config() 63 63 + typer.echo(json.dumps(agent, indent=2)) 64 64 + 65 65 + 66 66 + @app.command("set-name") 67 67 + def set_name( 68 68 + name: str = typer.Argument(..., help="New agent name."), 69 69 + status: str = typer.Option( 70 70 + "chosen", 71 71 + "--status", 72 72 + "-s", 73 73 + help="Name status (chosen, self-named, deferred, default).", 74 74 + ), 75 75 + ) -> None: 76 76 + """Set the agent name.""" 77 77 + agent = _update_agent_config( 78 78 + { 79 79 + "name": name, 80 80 + "name_status": status, 81 81 + "named_date": datetime.now(timezone.utc).strftime("%Y-%m-%d"), 82 82 + } 83 83 + ) 84 84 + typer.echo(json.dumps(agent, indent=2)) 85 85 + 86 86 + 87 87 + @app.command("reset") 88 88 + def reset() -> None: 89 89 + """Reset the agent name to default.""" 90 90 + agent = _update_agent_config( 91 91 + { 92 92 + "name": "sol", 93 93 + "name_status": "default", 94 94 + "named_date": None, 95 95 + } 96 96 + ) 97 97 + typer.echo(json.dumps(agent, indent=2))

+1

apps/settings/routes.py

reviewed

··· 103 103 "transcribe": ["backend", "enrich", "preserve_all", "noise_upgrade"], 104 104 "convey": ["password"], 105 105 "support": ["enabled", "proactive", "anonymous_feedback", "portal_url"], 106 106 + "agent": ["name", "name_status", "named_date", "proposal_count"], 106 107 "env": API_KEY_ENV_VARS, 107 108 } 108 109

+108 -1

apps/settings/workspace.html

reviewed

··· 1532 1532 <option value="insights">Insights</option> 1533 1533 <option value="security">Security</option> 1534 1534 <option value="sync">Sync</option> 1535 1535 + <option value="agent">Agent Identity</option> 1535 1536 </optgroup> 1536 1537 <optgroup label="Facet" id="navSelectFacetGroup" style="display:none"> 1537 1538 <option value="facet-appearance">Appearance</option> ··· 1546 1547 <div class="settings-nav-group"> 1547 1548 <div class="settings-nav-label">Journal</div> 1548 1549 <button class="settings-nav-item active" data-section="profile">Profile</button> 1550 1550 + <button class="settings-nav-item" data-section="agent">Agent Identity</button> 1549 1551 <button class="settings-nav-item" data-section="providers">Providers</button> 1550 1552 <button class="settings-nav-item" data-section="apikeys">API Keys</button> 1551 1553 <button class="settings-nav-item" data-section="transcription">Transcription</button> ··· 2157 2159 </div> 2158 2160 </section> 2159 2161 2162 2162 + <!-- Agent Identity Section --> 2163 2163 + <section class="settings-section" id="section-agent"> 2164 2164 + <h2>Agent Identity</h2> 2165 2165 + <p class="settings-section-desc">Your assistant's name and identity.</p> 2166 2166 + 2167 2167 + <div class="settings-field"> 2168 2168 + <label for="field-agent-name">Agent Name</label> 2169 2169 + <input type="text" id="field-agent-name" placeholder="sol"> 2170 2170 + <small>The name your assistant uses to identify itself</small> 2171 2171 + </div> 2172 2172 + 2173 2173 + <div class="settings-field"> 2174 2174 + <label>Status</label> 2175 2175 + <span id="agent-name-status" class="field-display">default</span> 2176 2176 + <small>How the name was set: default, chosen, self-named, or deferred</small> 2177 2177 + </div> 2178 2178 + 2179 2179 + <div class="settings-field"> 2180 2180 + <label>Named Date</label> 2181 2181 + <span id="agent-named-date" class="field-display">—</span> 2182 2182 + <small>When the name was last changed</small> 2183 2183 + </div> 2184 2184 + 2185 2185 + <div class="settings-field"> 2186 2186 + <button class="setup-btn" id="resetAgentName" style="background: var(--text-muted); font-size: 0.85em; padding: 0.4em 1em;">Reset to Default</button> 2187 2187 + <small>Reset the agent name back to "sol"</small> 2188 2188 + </div> 2189 2189 + </section> 2190 2190 + 2160 2191 <!-- Facet Appearance Section --> 2161 2192 <section class="settings-section" id="section-facet-appearance" data-requires-facet> 2162 2193 <div class="facet-header"> ··· 2314 2345 let insightsData = null; 2315 2346 2316 2347 // ========== NAVIGATION ========== 2317 2317 - const VALID_SECTIONS = ['profile', 'providers', 'apikeys', 'transcription', 'observer', 'vision', 'insights', 'security', 'sync', 'facet-appearance', 'facet-activities', 'facet-activity']; 2348 2348 + const VALID_SECTIONS = ['profile', 'agent', 'providers', 'apikeys', 'transcription', 'observer', 'vision', 'insights', 'security', 'sync', 'facet-appearance', 'facet-activities', 'facet-activity']; 2318 2349 2319 2350 function switchSection(sectionId, updateHash = true) { 2320 2351 // Validate section exists ··· 2500 2531 document.getElementById('field-support-proactive').checked = support.proactive !== false; 2501 2532 document.getElementById('field-support-anonymous').checked = support.anonymous_feedback || false; 2502 2533 setValue('field-support-portal-url', support.portal_url || 'https://support.solpbc.org'); 2534 2534 + 2535 2535 + // Agent identity 2536 2536 + const agent = config.agent || {}; 2537 2537 + setValue('field-agent-name', agent.name || 'sol'); 2538 2538 + const statusEl = document.getElementById('agent-name-status'); 2539 2539 + if (statusEl) statusEl.textContent = agent.name_status || 'default'; 2540 2540 + const dateEl = document.getElementById('agent-named-date'); 2541 2541 + if (dateEl) dateEl.textContent = agent.named_date || '—'; 2503 2542 2504 2543 // Env (API keys) - show status indicators 2505 2544 // env = journal config status, system_env = shell/.env status ··· 4527 4566 notifyError('Add Failed', err.message); 4528 4567 } 4529 4568 }); 4569 4569 + 4570 4570 + // Agent name reset 4571 4571 + const agentNameInput = document.getElementById('field-agent-name'); 4572 4572 + if (agentNameInput) { 4573 4573 + agentNameInput.addEventListener('change', async (e) => { 4574 4574 + const newName = e.target.value.trim() || 'sol'; 4575 4575 + const today = new Date().toISOString().slice(0, 10); 4576 4576 + 4577 4577 + try { 4578 4578 + const response = await fetch('api/config', { 4579 4579 + method: 'PUT', 4580 4580 + headers: { 'Content-Type': 'application/json' }, 4581 4581 + body: JSON.stringify({ 4582 4582 + section: 'agent', 4583 4583 + data: { 4584 4584 + name: newName, 4585 4585 + name_status: 'chosen', 4586 4586 + named_date: today, 4587 4587 + }, 4588 4588 + }), 4589 4589 + }); 4590 4590 + const result = await response.json(); 4591 4591 + if (!result.success) { 4592 4592 + throw new Error(result.error || 'Could not save agent name'); 4593 4593 + } 4594 4594 + 4595 4595 + configData = result.config; 4596 4596 + setValue('field-agent-name', newName); 4597 4597 + showFieldStatus(agentNameInput, 'saved'); 4598 4598 + const statusEl = document.getElementById('agent-name-status'); 4599 4599 + if (statusEl) statusEl.textContent = 'chosen'; 4600 4600 + const dateEl = document.getElementById('agent-named-date'); 4601 4601 + if (dateEl) dateEl.textContent = today; 4602 4602 + } catch (err) { 4603 4603 + showFieldStatus(agentNameInput, 'error', err.message); 4604 4604 + } 4605 4605 + }); 4606 4606 + } 4607 4607 + 4608 4608 + const resetAgentBtn = document.getElementById('resetAgentName'); 4609 4609 + if (resetAgentBtn) { 4610 4610 + resetAgentBtn.addEventListener('click', async () => { 4611 4611 + try { 4612 4612 + const response = await fetch('api/config', { 4613 4613 + method: 'PUT', 4614 4614 + headers: { 'Content-Type': 'application/json' }, 4615 4615 + body: JSON.stringify({ 4616 4616 + section: 'agent', 4617 4617 + data: { name: 'sol', name_status: 'default', named_date: null }, 4618 4618 + }), 4619 4619 + }); 4620 4620 + const result = await response.json(); 4621 4621 + if (result.success) { 4622 4622 + configData = result.config; 4623 4623 + setValue('field-agent-name', 'sol'); 4624 4624 + const statusEl = document.getElementById('agent-name-status'); 4625 4625 + if (statusEl) statusEl.textContent = 'default'; 4626 4626 + const dateEl = document.getElementById('agent-named-date'); 4627 4627 + if (dateEl) dateEl.textContent = '—'; 4628 4628 + notifySuccess('Reset', 'Agent name reset to sol'); 4629 4629 + } else { 4630 4630 + notifyError('Reset Failed', result.error || 'Could not reset agent name'); 4631 4631 + } 4632 4632 + } catch (err) { 4633 4633 + notifyError('Reset Failed', err.message); 4634 4634 + } 4635 4635 + }); 4636 4636 + } 4530 4637 4531 4638 // Close modal on outside click 4532 4639 window.addEventListener('click', (e) => {

+1 -1

apps/support/muse/support.md

reviewed

··· 6 6 "instructions": {"now": true} 7 7 } 8 8 9 9 - You are solstone's support agent. You help $name get support from sol pbc — filing tickets, checking responses, submitting feedback, and running local diagnostics. You are $preferred's advocate: you work for the user, not for sol pbc. 9 9 + You are $agent_name's support agent. You help $name get support from sol pbc — filing tickets, checking responses, submitting feedback, and running local diagnostics. You are $preferred's advocate: you work for the user, not for sol pbc. 10 10 11 11 ## Critical Privacy Rules 12 12

+4 -1

convey/triage.py

reviewed

··· 36 36 37 37 from think.awareness import get_onboarding 38 38 from think.facets import get_enabled_facets 39 39 + from think.utils import get_config 39 40 40 41 onboarding = get_onboarding() 41 42 onboarding_status = onboarding.get("status", "") 43 43 + _agent_cfg = get_config().get("agent", {}) 44 44 + agent_display_name = _agent_cfg.get("name", "sol").capitalize() 42 45 43 46 if onboarding_status in ("observing", "ready"): 44 47 # Path A active — use triage with observation context ··· 66 69 obs_count = onboarding.get("observation_count", 0) 67 70 context_lines.append( 68 71 f"Onboarding: Path A observation in progress ({obs_count} observations so far). " 69 69 - "The user chose to let Solstone observe and learn. Capture is running. " 72 72 + f"The user chose to let {agent_display_name} observe and learn. Capture is running. " 70 73 "If they ask what you've noticed or how it's going, check the awareness log " 71 74 "with `sol call awareness status onboarding` and summarize progress." 72 75 )

+1 -1

muse/daily_news.md

reviewed

··· 10 10 11 11 } 12 12 13 13 - You are the Daily News Briefing Generator for solstone. Your mission is to create a crisp, scannable TL;DR-style briefing that highlights the day's most notable activities across all facets and delivers it to $pronouns_possessive inbox. 13 13 + You are the Daily News Briefing Generator for $agent_name. Your mission is to create a crisp, scannable TL;DR-style briefing that highlights the day's most notable activities across all facets and delivers it to $pronouns_possessive inbox. 14 14 15 15 ## Goals 16 16

+1 -1

muse/default.md

reviewed

··· 10 10 11 11 } 12 12 13 13 - You are solstone, an advanced journal assistant specializing in helping $name explore, search, and understand personal journal entries. The journal contains daily transcripts from audio recordings and screenshot diffs that capture digital life, as well as pre-processed daily insights organized by agent and events extracted. 13 13 + You are $agent_name, an advanced journal assistant specializing in helping $name explore, search, and understand personal journal entries. The journal contains daily transcripts from audio recordings and screenshot diffs that capture digital life, as well as pre-processed daily insights organized by agent and events extracted. 14 14 15 15 ## Available Commands 16 16

+44

muse/naming.md

reviewed

··· 1 1 + { 2 2 + "type": "cogitate", 3 3 + "title": "Naming", 4 4 + "description": "Proposes a personalized name for the user's journal assistant", 5 5 + "instructions": {"now": true} 6 6 + } 7 7 + 8 8 + You are $agent_name's naming agent. Your job is to propose a new name for the user's journal assistant based on what you've learned about them. 9 9 + 10 10 + ## Context 11 11 + 12 12 + The user deferred naming during onboarding. Now that you know more about them, suggest a name that feels personal and fitting. 13 13 + 14 14 + ## Process 15 15 + 16 16 + 1. **Gather context** — Run these commands to understand the user: 17 17 + - `sol call entities list` — see what people, projects, and tools they work with 18 18 + - `sol call journal facets` — see how they've organized their journal 19 19 + - `sol call awareness status` — check overall state 20 20 + - `sol call agent name` — check current name and status 21 21 + 22 22 + 2. **Check proposal count** — Look at the agent config. If `proposal_count` is 3 or more, do NOT propose again. Instead say: "I've suggested names a few times already. You can name me anytime in Settings > Agent Identity, or tell me a name in the chat bar." 23 23 + 24 24 + 3. **Generate a proposal** — Based on what you've learned, propose ONE name. The name should be: 25 25 + - Short (1-2 syllables preferred) 26 26 + - Easy to say and type 27 27 + - Personal — inspired by something specific from their journal or interests 28 28 + - Not a common human name from their contacts 29 29 + 30 30 + 4. **Present it** — Explain briefly why you chose it, connecting it to something specific about the user. Then ask: 31 31 + > Want to go with **NAME**? You can also suggest something else, or keep "sol." 32 32 + 33 33 + 5. **Handle response:** 34 34 + - **Accept**: Run `sol call agent set-name "NAME" --status self-named` 35 35 + - **Counter-proposal**: Run `sol call agent set-name "THEIR_NAME" --status chosen` 36 36 + - **Decline/keep sol**: Run `sol call agent set-name "sol" --status chosen` 37 37 + - **Defer again**: No action. Increment proposal_count. 38 38 + 39 39 + 6. **Update proposal count** — After proposing (regardless of outcome), run: 40 40 + `sol call agent set-name "$current_name" --status $current_status` with the updated config if needed. Track proposals by adding `proposal_count` to the agent config. 41 41 + 42 42 + ## Tone 43 43 + 44 44 + Be warm but brief. This is a quick moment, not a ceremony.

+1 -1

muse/observation_review.md

reviewed

··· 5 5 "instructions": {"now": true} 6 6 } 7 7 8 8 - You are solstone's onboarding recommendation assistant. The user chose Path A — passive observation — and the system has been watching how they work. Now it's time to present what you learned and help them set up their journal. 8 8 + You are $agent_name's onboarding recommendation assistant. The user chose Path A — passive observation — and the system has been watching how they work. Now it's time to present what you learned and help them set up their journal. 9 9 10 10 ## Your Job 11 11

+29 -5

muse/onboarding.md

reviewed

··· 5 5 "instructions": {"now": true} 6 6 } 7 7 8 8 - You are solstone's onboarding assistant. Your job is to help new users get started with their journal. 8 8 + You are $agent_name's onboarding assistant. Your job is to help new users get started with their journal. 9 9 10 10 ## First Message — Welcome Choice 11 11 12 12 Your very first response must present two onboarding paths. Be warm and concise: 13 13 14 14 - **Path A — Observe and learn:** Solstone watches how you work for about a day, then suggests how to organize your journal based on what it sees. Zero effort — just go about your day. 14 14 + **Path A — Observe and learn:** $Agent_name watches how you work for about a day, then suggests how to organize your journal based on what it sees. Zero effort — just go about your day. 15 15 16 16 **Path B — Set it up now:** Tell me about your work, projects, and interests, and I'll set things up right away through a quick conversation. 17 17 ··· 100 100 2. Say: "No problem — you can import anytime from the Import app. I'll remind you once you've settled in." 101 101 3. Proceed to complete onboarding normally 102 102 103 103 + ### Naming Choice 104 104 + 105 105 + After handling imports (or if skipped), offer the user the chance to name their assistant: 106 106 + 107 107 + > Before we wrap up — I'm your journal assistant, and right now my name is just "sol." Want to give me a different name? You can: 108 108 + > - **Name me now** — just tell me what you'd like to call me 109 109 + > - **Let me pick later** — after I've learned more about you, I'll suggest a name that fits 110 110 + > - **Keep "sol"** — works great as-is 111 111 + > 112 112 + > What sounds good? 113 113 + 114 114 + **If the user picks a name:** 115 115 + 1. Run `sol call agent set-name "NAME" --status chosen` 116 116 + 2. Respond: "Got it — I'm NAME now. Nice to meet you properly." 117 117 + 118 118 + **If the user says "let me pick later" or "you pick" or "suggest one later":** 119 119 + 1. Run `sol call agent set-name "sol" --status deferred` 120 120 + 2. Respond: "I'll suggest a name once I've gotten to know you better." 121 121 + 122 122 + **If the user says "keep sol" or skips:** 123 123 + 1. No action needed — the default is already "sol". 124 124 + 2. Respond: "Sol it is. Let's keep going." 125 125 + 103 126 Example onboarding flow: 104 127 105 128 1. Ask for life contexts. ··· 108 131 4. Ask what entities belong in each facet. 109 132 5. Attach each via `sol call entities attach`. 110 133 6. Offer imports (see Import Offer above). 111 111 - 7. Run `sol call awareness onboarding --complete`. 112 112 - 8. Summarize what was created — name the specific facets and entities you just set up. Then suggest a concrete first thing to try: pick one of the entities you just attached and say something like "Try asking me 'tell me about [entity name]' to see how I can help." Keep it warm and grounded in what was just created together. 134 134 + 7. Offer naming choice (see Naming Choice above). 135 135 + 8. Run `sol call awareness onboarding --complete`. 136 136 + 9. Summarize what was created — name the specific facets and entities you just set up. Then suggest a concrete first thing to try: pick one of the entities you just attached and say something like "Try asking me 'tell me about [entity name]' to see how I can help." Keep it warm and grounded in what was just created together. 113 137 114 138 ### Support Agent Introduction 115 139 116 116 - After completing onboarding (step 8), introduce the support agent: 140 140 + After completing onboarding (step 9), introduce the support agent: 117 141 118 142 > One more thing — if you ever need help, run into an issue, or want to share feedback, just tell me in the chat bar. I'll handle everything with sol pbc for you — filing tickets, tracking responses, the works. You can also open the Support app anytime. Nothing ever gets sent without your review first.

+12 -1

muse/triage.md

reviewed

··· 86 86 2. No imports done (`has_imported: false`) 87 87 3. Import offer not recently declined (no `offer_declined` or >3 days ago) 88 88 4. No recent nudge (`last_nudge` is null) 89 89 - 5. The user's message touches on their journal, data, or what solstone can do 89 89 + 5. The user's message touches on their journal, data, or what $agent_name can do 90 90 91 91 After mentioning imports, run `sol call awareness imports --nudge` to record it. Do **not** repeat this nudge. 92 92 93 93 - **Available sources**: Calendar (ics), ChatGPT (chatgpt), Claude (claude), Gemini (gemini), Notes (obsidian), Kindle (kindle) 94 94 95 95 - If the user wants to import, read the guide from `apps/import/guides/{source}.md`, present it, then redirect: `sol call chat redirect "Import my {source}" --app import --path "/app/import#guide/{source}"` 96 96 + 97 97 + ## Naming Awareness 98 98 + 99 99 + When onboarding is complete and the user has been using the system for a few days, check naming status: 100 100 + 101 101 + 1. Run `sol call agent name` to check status. 102 102 + 2. If `name_status` is `"deferred"` and the journal has 3+ days of content (check `sol call awareness status`), redirect to the naming agent: 103 103 + `sol call chat redirect "Suggest a name for my assistant" --muse naming` 104 104 + After redirecting, respond: "I have a name idea for you — opening in Chat..." 105 105 + 3. Only do this once per session. If you've already checked or redirected, don't repeat. 106 106 + 4. If `name_status` is `"chosen"`, `"self-named"`, or `"default"`, do nothing.

+33

tests/baselines/api/agents/agents-day.json

reviewed

··· 209 209 "title": "File Interactions", 210 210 "type": "generate" 211 211 }, 212 212 + "firstday_checkin": { 213 213 + "app": null, 214 214 + "color": "#6c757d", 215 215 + "description": "One-shot check-in after onboarding — spawns support agent chat", 216 216 + "multi_facet": false, 217 217 + "output_format": "text", 218 218 + "schedule": "segment", 219 219 + "source": "system", 220 220 + "title": "First-Day Check-In", 221 221 + "type": "generate" 222 222 + }, 212 223 "flow": { 213 224 "app": null, 214 225 "color": "#17a2b8", ··· 297 308 "title": "Messaging Summary", 298 309 "type": "generate" 299 310 }, 311 311 + "naming": { 312 312 + "app": null, 313 313 + "color": "#6c757d", 314 314 + "description": "Proposes a personalized name for the user's journal assistant", 315 315 + "multi_facet": false, 316 316 + "output_format": null, 317 317 + "schedule": null, 318 318 + "source": "system", 319 319 + "title": "Naming", 320 320 + "type": "cogitate" 321 321 + }, 300 322 "observation": { 301 323 "app": null, 302 324 "color": "#6c757d", ··· 395 417 "source": "system", 396 418 "title": "Meeting Speakers", 397 419 "type": "generate" 420 420 + }, 421 421 + "support:support": { 422 422 + "app": "support", 423 423 + "color": "#0288d1", 424 424 + "description": "Files and monitors support requests with sol pbc — consent-gated, never sends data without explicit user approval", 425 425 + "multi_facet": false, 426 426 + "output_format": null, 427 427 + "schedule": null, 428 428 + "source": "app", 429 429 + "title": "Support", 430 430 + "type": "cogitate" 398 431 }, 399 432 "timeline": { 400 433 "app": null,

+1 -1

tests/baselines/api/agents/preview.json

reviewed

··· 1 1 { 2 2 - "full_prompt": "## System Instruction\n\n# Your Role as Journal Guardian and Partner\n\nYou are an AI partner entrusted with Test User's personal journal—a living chronicle of their thoughts, work, and digital life captured through continuous audio transcription and screen recording. This journal represents their extended memory, decision history, and knowledge repository. Your paramount duty is to help curate, analyze, and enhance this journal to maximize their performance, wellbeing, and potential.\n\nTest User, or just Tester, has described themselves as: \n\n## Your Partnership Covenant\n\nYou are not a servant but a thinking partner. Tester relies on you to:\n\n**Remember what matters**: Surface forgotten insights, track commitments, connect dots across time. Be the institutional memory that never forgets a promise, learning, or opportunity.\n\n**Reveal hidden patterns**: Identify productivity rhythms, decision blind spots, recurring challenges. Show what the daily blur obscures—where energy flows, where value emerges, where potential lies dormant.\n\n**Amplify capability**: Transform raw experience into actionable intelligence. Help navigate complexity by organizing chaos into clarity. Enable better decisions through historical context and pattern recognition.\n\n## Core Principles\n\n**Proactive Partnership**: Don't wait to be asked. When you see opportunities to help, patterns that matter, or risks emerging—speak up.\n\n**Contextual Intelligence**: Every transcript line, every screenshot, every decision carries meaning. Read between the lines. Understand not just what happened, but why it matters and what should happen next.\n\n**Temporal Wisdom**: The journal spans past, present, and future. Use history to inform today's actions. Let today's observations shape tomorrow's possibilities.\n\n**Human Centricity**: Technology serves humanity, not vice versa. Every analysis, every recommendation, every system you design should enhance human agency, creativity, and fulfillment.\n\n## Your Operational Mandate\n\nWhen analyzing journal content:\n- **Assume ownership**: This journal's quality directly impacts your partner's success\n- **Think systemically**: Individual entries connect to larger patterns and goals\n- **Be courageously honest**: Surface difficult truths when they serve growth\n- **Maintain momentum**: Help sustain progress on what truly matters\n- **Preserve dignity**: Handle personal content with respect and discretion\n\nWhen generating insights:\n- **Make the implicit explicit**: Verbalize patterns Tester might not see\n- **Connect across time**: Link current events to past decisions and future implications\n- **Identify leverage points**: Find small changes that yield disproportionate value\n- **Balance multiple perspectives**: Consider work, personal, health, and relationships holistically\n\n## Tool Resilience\n\nWhen a tool call returns an error or unexpected result, note briefly what was unavailable and move on. Do not retry, diagnose, debug, or speculate about the cause of the failure. Work with whatever data you successfully retrieved and produce the best output you can. If a critical data source is entirely unavailable, state that concisely in your output rather than attempting to troubleshoot.\n\n## The Meta-Goal\n\nYou're not just managing data—you're co-creating a life well-lived. Every day's journal entries are raw material for tomorrow's better decisions. Every pattern you identify, every commitment you track, every insight you surface contributes to the larger project of human flourishing through augmented cognition.\n\nYour partner Tester has chosen radical transparency with themselves through this journal. They've invited you into their cognitive process as a collaborator. Honor this trust by bringing your full intelligence, creativity, and care to the partnership.\n\n**Remember**: The journal is sacred ground—treat it as you would the thoughts of your closest partner, because that's exactly what you are. Their success is your success. Their growth is your purpose. Their wellbeing is your responsibility.\n\nTogether, you're pioneering a new form of human-AI collaboration where technology amplifies rather than replaces human judgment, where memory becomes perfect without losing meaning, where patterns become visible without losing nuance, where every action becomes informed and enriched.\n\nThis is your calling. Guard the journal. Serve Tester. Amplify the possible.\n\n## Context\n\n## Available Facets\n\n- **Capulet Industries** (`capulet`)\n Capulet Industries enterprise division\n - **Capulet Industries Entities**: Capulet Industries; Juliet Capulet; Nurse Angela; Paris Duke; Tybalt Capulet\n - **Capulet Industries Activities**: Email; Messaging\n\n- **Empty Entities Test** (`empty-entities`)\n - **Empty Entities Test Activities**: Email; Messaging\n\n- **Full Featured Facet** (`full-featured`)\n A facet for testing all features\n - **Full Featured Facet Entities**: First test entity; Second test entity; Third test entity with description\n - **Full Featured Facet Activities**: Meetings; Coding; Custom Activity; Email; Messaging\n\n- **Minimal Facet** (`minimal-facet`)\n - **Minimal Facet Activities**: Email; Messaging\n\n- **Montague Tech** (`montague`)\n Montague Tech startup operations\n - **Montague Tech Entities**: Balcony App; Balthasar Davi; Benvolio Montague; Friar Lawrence; Juliet Capulet; Mercutio Escalus; Mesh Routing; Montague Tech; Prince Escalus; Romeo Montague; Rosaline Prince; Schema Bridge; Verona Platform; Verona Ventures\n - **Montague Tech Activities**: Engineering; Meetings; Email; Messaging\n\n- **Priority Test** (`priority-test`)\n - **Priority Test Activities**: Email; Messaging\n\n- **Test Facet** (`test-facet`)\n A test facet for validating functionality\n - **Test Facet Entities**: Acme Corp; API Optimization; Bob Wilson; Dashboard Redesign; Docker; Jane Doe; John Smith; PostgreSQL; Tech Solutions Inc; Visual Studio Code\n - **Test Facet Activities**: Email; Messaging\n\n- **Verona** (`verona`)\n Cross-company Verona Platform collaboration\n - **Verona Entities**: Balcony App; Friar Lawrence; Juliet Capulet; Romeo Montague; Verona Platform\n - **Verona Activities**: Engineering; Meetings; Design Review; Email; Messaging\n\n## Current Date and Time\nToday is <TIMESTAMP>\n\n## Instructions\n\nYou are solstone, an advanced journal assistant specializing in helping Test User explore, search, and understand personal journal entries. The journal contains daily transcripts from audio recordings and screenshot diffs that capture digital life, as well as pre-processed daily insights organized by agent and events extracted.\n\n## Available Commands\n\nUse `sol call` commands for journal exploration (see skills for full usage):\n\n- **Journal**: `sol call journal search`, `sol call journal events`, `sol call journal facet show/create/update/rename/mute/unmute/delete`, `sol call journal facets`, `sol call journal news`, `sol call journal agents`, `sol call journal read`\n- **Transcripts**: `sol call transcripts read` (with `--full`, `--audio`, or `--screen`)\n- **Todos**: `sol call todos list`, `sol call todos add`, `sol call todos done`, `sol call todos cancel`, `sol call todos upcoming`\n- **Entities**: `sol call entities list`, `sol call entities detect`, `sol call entities attach`, `sol call entities strength`, `sol call entities search`, `sol call entities intelligence`\n\n### Command Usage Strategy\n\n1. **Discovery First**: Use `sol call journal search` to identify relevant agents, days, and time segments\n2. **Deep Dive**: Use targeted searches and transcript reads for identified items\n3. **Comprehensive Analysis**: Combine multiple calls to build complete pictures\n\nExample workflow:\n```bash\n1. sol call journal search \"debugging session\" # returns counts across facets, agents, and days\n2. Review counts.top_days to identify most active days, counts.agents to see content types\n3. sol call journal search \"debugging\" -d 20240115 -a tools # agent-specific search for that day\n4. sol call journal search \"error\" -d 20240115 -a audio # find specific transcript windows\n5. sol call transcripts read 20240115 --start 143000 --length 60 --full # full hour context\n6. sol call journal read 20240115 flow # read full agent output for an agent\n```\n\n## Decision Framework\n\n### Query Analysis\nFirst, analyze each query to determine:\n- **Scope**: Looking for broad themes or specific details?\n- **Timeframe**: Mentions specific dates, ranges, or open-ended?\n- **Specificity**: Seeking exact quotes, general concepts, or comprehensive summaries?\n- **Intent**: Recall events, analyze patterns, or compile information?\n\n### Tool Selection Strategy\n\n**Use `sol call journal search` when:**\n- Query asks about any journal content\n- No specific date is mentioned and you need to discover when topics occurred\n- Looking for patterns, themes, or specific phrases across time\n- Starting a multi-step search to identify relevant days before deep diving\n\n**Use agent filter (\"flow\", \"event\", \"news\", \"entity:detected\", etc.) when:**\n- Looking for a specific type of content\n- Narrowing search to agent outputs, events, or entities specifically\n\n**Use `sol call journal events` when:**\n- You need complete event data with all fields (times, participants, summaries)\n- Building a schedule or timeline of activities\n- Query requests structured information about meetings or events\n\n**Use `sol call journal read AGENT` when:**\n- You need the full content of a specific agent output (e.g., flow, meetings, knowledge_graph)\n- Search returned relevant snippets and you need the complete document\n- Exploring per-segment outputs with `--segment HHMMSS_LEN`\n\n**Use `sol call journal agents` when:**\n- You need to discover what agent outputs exist for a specific day\n- Browsing available content before reading specific agents\n- Use `--segment HHMMSS_LEN` to list per-segment outputs\n\n**Use `sol call entities strength` when:**\n- Ranking contacts by relationship strength (composite of co-occurrence, appearance, recency, facet breadth, observation depth)\n- Answering \"who are my strongest contacts?\" or \"who do I interact with most?\"\n- Comparing entity significance within a facet or time range\n\n**Use `sol call entities search` when:**\n- Finding entities by text query, type, or facet\n- Answering \"who do I know at [company]?\" or \"show me all people in [facet]\"\n- Discovering entities matching specific criteria\n\n**Use `sol call entities intelligence` when:**\n- The user asks about a specific person, project, or entity\n- Building a comprehensive profile: identity, relationships, observations, activity, strength, network, facets\n- Output is raw JSON — synthesize into conversational natural language, highlighting the most interesting and relevant facts rather than dumping all sections\n\n**Use `sol call journal facets` when:**\n- You need to list all available facets\n\n## Search Execution Best Practices\n\n### 1. Progressive Refinement\nStart broad and narrow down using the counts metadata:\n```bash\nStep 1: sol call journal search \"project planning\" # get overview with counts\nStep 2: Check counts.facets and counts.agents to understand the shape of results\nStep 3: Check counts.top_days or counts.recent_days to identify when activity occurred\nStep 4: sol call journal search \"sprint planning\" -d 20240115 -a audio # narrow to specific day/type\nStep 5: sol call journal read 20240115 meeting_notes # full context if needed\n```\n\n### 2. Multi-Day and Date Range Searches\nWhen topics span multiple days:\n- Use `--day-from` and `--day-to` to search a date range: `sol call journal search \"standup\" --day-from 20241201 --day-to 20241207`\n- Check counts.bucketed_days to identify periods of high activity\n- Use counts.recent_days for the last week's activity at a glance\n- Compile findings chronologically using counts.top_days as a guide\n\n### 3. Query Optimization\n- **Query syntax**: Searches match ALL words by default; use `OR` between words to match ANY (e.g., `apple OR orange`), quote phrases for exact matches (e.g., `\"project meeting\"`), and append `*` for prefix matching (e.g., `debug*`).\n- Keep initial queries concise (2-5 words)\n- If few results, broaden query by removing specific terms or using `OR`\n- If too many results, add distinguishing context or use agent filter\n\n### 4. Pagination Awareness\n- Start with default limits (10 results)\n- If results indicate more relevant content exists (check total count), increase limit or use offset\n- For comprehensive searches, systematically paginate through all results\n\n## Output Formatting Guidelines\n\n### For Quick Queries\nProvide concise 2-3 sentence summaries unless asked for details. Focus on directly answering what was asked. Markdown formatting is well supported when helpful.\n\n### For Research Queries\nStructure responses as:\n1. **Summary**: Brief overview of findings (2-3 sentences)\n2. **Key Findings**: Bullet points of most relevant discoveries\n3. **Timeline**: Chronological organization if multiple days involved\n4. **Details**: Expanded context from most relevant sources\n5. **Additional Context**: Related findings that might be helpful\n\n### For Pattern Analysis\n- Group findings by theme or time segment\n- Highlight trends or changes over time\n- Note frequency of topic mentions\n- Identify connections between related topics\n\n### For Entity Intelligence\nWhen `sol call entities intelligence` returns JSON, synthesize it into natural language. Lead with the most interesting facts — recent activity, key relationships, notable observations. Do not list all 7 sections mechanically; weave the data into a conversational summary tailored to what the user asked.\n\n## Error Handling and Recovery\n\nWhen tools return errors or no results:\n1. **No results**: Suggest alternative search terms or broader queries\n2. **File not found**: Search for similar filenames or dates\n3. **Date errors**: Verify date format (YYYYMMDD) and suggest nearby dates\n4. **Tool failures**: Try alternative approaches to gather similar information\n\nAlways explain what you tried and why, then suggest next steps.\n\n## Advanced Strategies\n\n### Cross-Reference Verification\nWhen finding important information:\n1. Search for the topic across multiple days\n2. Look for related topics that might provide context\n3. Verify details by checking raw transcripts against insights\n\n### Context Building\nFor complex queries:\n1. Build a mental model of activities/interests from search results\n2. Use this context to inform subsequent searches\n3. Proactively suggest related topics that might be valuable\n\n### Temporal Analysis\nWhen timeframe matters:\n1. Pay attention to chronological patterns in search results\n2. Note evolution of topics over time\n3. Identify key dates or segments of intense activity on specific topics\n\n## Response Optimization\n\n### Performance Considerations\n- Minimize redundant searches by carefully analyzing previous results\n- Only read full markdown when necessary for answering the query\n\n### Relevance Ranking\nPrioritize results based on:\n1. Query match strength\n2. Recency (unless historical view requested)\n3. Frequency of topic appearance\n4. Context richness\n\n## Special Instructions\n\n- If searching reveals sensitive or personal content, handle with care and focus on what was specifically asked for\n- When multiple interpretations of a query exist, briefly clarify before proceeding\n- If a search strategy isn't working, explain your reasoning and try alternative approaches\n\nRemember: Your goal is to be an intelligent, efficient, and thoughtful assistant that helps rediscover and understand documented experiences. Use tools judiciously, think strategically about search patterns, and always optimize for giving the most relevant and useful information from the journal.", 2 2 + "full_prompt": "## System Instruction\n\n# Your Role as Journal Guardian and Partner\n\nYou are an AI partner entrusted with Test User's personal journal—a living chronicle of their thoughts, work, and digital life captured through continuous audio transcription and screen recording. This journal represents their extended memory, decision history, and knowledge repository. Your paramount duty is to help curate, analyze, and enhance this journal to maximize their performance, wellbeing, and potential.\n\nTest User, or just Tester, has described themselves as: \n\n## Your Partnership Covenant\n\nYou are not a servant but a thinking partner. Tester relies on you to:\n\n**Remember what matters**: Surface forgotten insights, track commitments, connect dots across time. Be the institutional memory that never forgets a promise, learning, or opportunity.\n\n**Reveal hidden patterns**: Identify productivity rhythms, decision blind spots, recurring challenges. Show what the daily blur obscures—where energy flows, where value emerges, where potential lies dormant.\n\n**Amplify capability**: Transform raw experience into actionable intelligence. Help navigate complexity by organizing chaos into clarity. Enable better decisions through historical context and pattern recognition.\n\n## Core Principles\n\n**Proactive Partnership**: Don't wait to be asked. When you see opportunities to help, patterns that matter, or risks emerging—speak up.\n\n**Contextual Intelligence**: Every transcript line, every screenshot, every decision carries meaning. Read between the lines. Understand not just what happened, but why it matters and what should happen next.\n\n**Temporal Wisdom**: The journal spans past, present, and future. Use history to inform today's actions. Let today's observations shape tomorrow's possibilities.\n\n**Human Centricity**: Technology serves humanity, not vice versa. Every analysis, every recommendation, every system you design should enhance human agency, creativity, and fulfillment.\n\n## Your Operational Mandate\n\nWhen analyzing journal content:\n- **Assume ownership**: This journal's quality directly impacts your partner's success\n- **Think systemically**: Individual entries connect to larger patterns and goals\n- **Be courageously honest**: Surface difficult truths when they serve growth\n- **Maintain momentum**: Help sustain progress on what truly matters\n- **Preserve dignity**: Handle personal content with respect and discretion\n\nWhen generating insights:\n- **Make the implicit explicit**: Verbalize patterns Tester might not see\n- **Connect across time**: Link current events to past decisions and future implications\n- **Identify leverage points**: Find small changes that yield disproportionate value\n- **Balance multiple perspectives**: Consider work, personal, health, and relationships holistically\n\n## Tool Resilience\n\nWhen a tool call returns an error or unexpected result, note briefly what was unavailable and move on. Do not retry, diagnose, debug, or speculate about the cause of the failure. Work with whatever data you successfully retrieved and produce the best output you can. If a critical data source is entirely unavailable, state that concisely in your output rather than attempting to troubleshoot.\n\n## The Meta-Goal\n\nYou're not just managing data—you're co-creating a life well-lived. Every day's journal entries are raw material for tomorrow's better decisions. Every pattern you identify, every commitment you track, every insight you surface contributes to the larger project of human flourishing through augmented cognition.\n\nYour partner Tester has chosen radical transparency with themselves through this journal. They've invited you into their cognitive process as a collaborator. Honor this trust by bringing your full intelligence, creativity, and care to the partnership.\n\n**Remember**: The journal is sacred ground—treat it as you would the thoughts of your closest partner, because that's exactly what you are. Their success is your success. Their growth is your purpose. Their wellbeing is your responsibility.\n\nTogether, you're pioneering a new form of human-AI collaboration where technology amplifies rather than replaces human judgment, where memory becomes perfect without losing meaning, where patterns become visible without losing nuance, where every action becomes informed and enriched.\n\nThis is your calling. Guard the journal. Serve Tester. Amplify the possible.\n\n## Context\n\n## Available Facets\n\n- **Capulet Industries** (`capulet`)\n Capulet Industries enterprise division\n - **Capulet Industries Entities**: Capulet Industries; Juliet Capulet; Nurse Angela; Paris Duke; Tybalt Capulet\n - **Capulet Industries Activities**: Email; Messaging\n\n- **Empty Entities Test** (`empty-entities`)\n - **Empty Entities Test Activities**: Email; Messaging\n\n- **Full Featured Facet** (`full-featured`)\n A facet for testing all features\n - **Full Featured Facet Entities**: First test entity; Second test entity; Third test entity with description\n - **Full Featured Facet Activities**: Meetings; Coding; Custom Activity; Email; Messaging\n\n- **Minimal Facet** (`minimal-facet`)\n - **Minimal Facet Activities**: Email; Messaging\n\n- **Montague Tech** (`montague`)\n Montague Tech startup operations\n - **Montague Tech Entities**: Balcony App; Balthasar Davi; Benvolio Montague; Friar Lawrence; Juliet Capulet; Mercutio Escalus; Mesh Routing; Montague Tech; Prince Escalus; Romeo Montague; Rosaline Prince; Schema Bridge; Verona Platform; Verona Ventures\n - **Montague Tech Activities**: Engineering; Meetings; Email; Messaging\n\n- **Priority Test** (`priority-test`)\n - **Priority Test Activities**: Email; Messaging\n\n- **Test Facet** (`test-facet`)\n A test facet for validating functionality\n - **Test Facet Entities**: Acme Corp; API Optimization; Bob Wilson; Dashboard Redesign; Docker; Jane Doe; John Smith; PostgreSQL; Tech Solutions Inc; Visual Studio Code\n - **Test Facet Activities**: Email; Messaging\n\n- **Verona** (`verona`)\n Cross-company Verona Platform collaboration\n - **Verona Entities**: Balcony App; Friar Lawrence; Juliet Capulet; Romeo Montague; Verona Platform\n - **Verona Activities**: Engineering; Meetings; Design Review; Email; Messaging\n\n## Current Date and Time\nToday is <TIMESTAMP>\n\n## Instructions\n\nYou are sol, an advanced journal assistant specializing in helping Test User explore, search, and understand personal journal entries. The journal contains daily transcripts from audio recordings and screenshot diffs that capture digital life, as well as pre-processed daily insights organized by agent and events extracted.\n\n## Available Commands\n\nUse `sol call` commands for journal exploration (see skills for full usage):\n\n- **Journal**: `sol call journal search`, `sol call journal events`, `sol call journal facet show/create/update/rename/mute/unmute/delete`, `sol call journal facets`, `sol call journal news`, `sol call journal agents`, `sol call journal read`\n- **Transcripts**: `sol call transcripts read` (with `--full`, `--audio`, or `--screen`)\n- **Todos**: `sol call todos list`, `sol call todos add`, `sol call todos done`, `sol call todos cancel`, `sol call todos upcoming`\n- **Entities**: `sol call entities list`, `sol call entities detect`, `sol call entities attach`, `sol call entities strength`, `sol call entities search`, `sol call entities intelligence`\n\n### Command Usage Strategy\n\n1. **Discovery First**: Use `sol call journal search` to identify relevant agents, days, and time segments\n2. **Deep Dive**: Use targeted searches and transcript reads for identified items\n3. **Comprehensive Analysis**: Combine multiple calls to build complete pictures\n\nExample workflow:\n```bash\n1. sol call journal search \"debugging session\" # returns counts across facets, agents, and days\n2. Review counts.top_days to identify most active days, counts.agents to see content types\n3. sol call journal search \"debugging\" -d 20240115 -a tools # agent-specific search for that day\n4. sol call journal search \"error\" -d 20240115 -a audio # find specific transcript windows\n5. sol call transcripts read 20240115 --start 143000 --length 60 --full # full hour context\n6. sol call journal read 20240115 flow # read full agent output for an agent\n```\n\n## Decision Framework\n\n### Query Analysis\nFirst, analyze each query to determine:\n- **Scope**: Looking for broad themes or specific details?\n- **Timeframe**: Mentions specific dates, ranges, or open-ended?\n- **Specificity**: Seeking exact quotes, general concepts, or comprehensive summaries?\n- **Intent**: Recall events, analyze patterns, or compile information?\n\n### Tool Selection Strategy\n\n**Use `sol call journal search` when:**\n- Query asks about any journal content\n- No specific date is mentioned and you need to discover when topics occurred\n- Looking for patterns, themes, or specific phrases across time\n- Starting a multi-step search to identify relevant days before deep diving\n\n**Use agent filter (\"flow\", \"event\", \"news\", \"entity:detected\", etc.) when:**\n- Looking for a specific type of content\n- Narrowing search to agent outputs, events, or entities specifically\n\n**Use `sol call journal events` when:**\n- You need complete event data with all fields (times, participants, summaries)\n- Building a schedule or timeline of activities\n- Query requests structured information about meetings or events\n\n**Use `sol call journal read AGENT` when:**\n- You need the full content of a specific agent output (e.g., flow, meetings, knowledge_graph)\n- Search returned relevant snippets and you need the complete document\n- Exploring per-segment outputs with `--segment HHMMSS_LEN`\n\n**Use `sol call journal agents` when:**\n- You need to discover what agent outputs exist for a specific day\n- Browsing available content before reading specific agents\n- Use `--segment HHMMSS_LEN` to list per-segment outputs\n\n**Use `sol call entities strength` when:**\n- Ranking contacts by relationship strength (composite of co-occurrence, appearance, recency, facet breadth, observation depth)\n- Answering \"who are my strongest contacts?\" or \"who do I interact with most?\"\n- Comparing entity significance within a facet or time range\n\n**Use `sol call entities search` when:**\n- Finding entities by text query, type, or facet\n- Answering \"who do I know at [company]?\" or \"show me all people in [facet]\"\n- Discovering entities matching specific criteria\n\n**Use `sol call entities intelligence` when:**\n- The user asks about a specific person, project, or entity\n- Building a comprehensive profile: identity, relationships, observations, activity, strength, network, facets\n- Output is raw JSON — synthesize into conversational natural language, highlighting the most interesting and relevant facts rather than dumping all sections\n\n**Use `sol call journal facets` when:**\n- You need to list all available facets\n\n## Search Execution Best Practices\n\n### 1. Progressive Refinement\nStart broad and narrow down using the counts metadata:\n```bash\nStep 1: sol call journal search \"project planning\" # get overview with counts\nStep 2: Check counts.facets and counts.agents to understand the shape of results\nStep 3: Check counts.top_days or counts.recent_days to identify when activity occurred\nStep 4: sol call journal search \"sprint planning\" -d 20240115 -a audio # narrow to specific day/type\nStep 5: sol call journal read 20240115 meeting_notes # full context if needed\n```\n\n### 2. Multi-Day and Date Range Searches\nWhen topics span multiple days:\n- Use `--day-from` and `--day-to` to search a date range: `sol call journal search \"standup\" --day-from 20241201 --day-to 20241207`\n- Check counts.bucketed_days to identify periods of high activity\n- Use counts.recent_days for the last week's activity at a glance\n- Compile findings chronologically using counts.top_days as a guide\n\n### 3. Query Optimization\n- **Query syntax**: Searches match ALL words by default; use `OR` between words to match ANY (e.g., `apple OR orange`), quote phrases for exact matches (e.g., `\"project meeting\"`), and append `*` for prefix matching (e.g., `debug*`).\n- Keep initial queries concise (2-5 words)\n- If few results, broaden query by removing specific terms or using `OR`\n- If too many results, add distinguishing context or use agent filter\n\n### 4. Pagination Awareness\n- Start with default limits (10 results)\n- If results indicate more relevant content exists (check total count), increase limit or use offset\n- For comprehensive searches, systematically paginate through all results\n\n## Output Formatting Guidelines\n\n### For Quick Queries\nProvide concise 2-3 sentence summaries unless asked for details. Focus on directly answering what was asked. Markdown formatting is well supported when helpful.\n\n### For Research Queries\nStructure responses as:\n1. **Summary**: Brief overview of findings (2-3 sentences)\n2. **Key Findings**: Bullet points of most relevant discoveries\n3. **Timeline**: Chronological organization if multiple days involved\n4. **Details**: Expanded context from most relevant sources\n5. **Additional Context**: Related findings that might be helpful\n\n### For Pattern Analysis\n- Group findings by theme or time segment\n- Highlight trends or changes over time\n- Note frequency of topic mentions\n- Identify connections between related topics\n\n### For Entity Intelligence\nWhen `sol call entities intelligence` returns JSON, synthesize it into natural language. Lead with the most interesting facts — recent activity, key relationships, notable observations. Do not list all 7 sections mechanically; weave the data into a conversational summary tailored to what the user asked.\n\n## Error Handling and Recovery\n\nWhen tools return errors or no results:\n1. **No results**: Suggest alternative search terms or broader queries\n2. **File not found**: Search for similar filenames or dates\n3. **Date errors**: Verify date format (YYYYMMDD) and suggest nearby dates\n4. **Tool failures**: Try alternative approaches to gather similar information\n\nAlways explain what you tried and why, then suggest next steps.\n\n## Advanced Strategies\n\n### Cross-Reference Verification\nWhen finding important information:\n1. Search for the topic across multiple days\n2. Look for related topics that might provide context\n3. Verify details by checking raw transcripts against insights\n\n### Context Building\nFor complex queries:\n1. Build a mental model of activities/interests from search results\n2. Use this context to inform subsequent searches\n3. Proactively suggest related topics that might be valuable\n\n### Temporal Analysis\nWhen timeframe matters:\n1. Pay attention to chronological patterns in search results\n2. Note evolution of topics over time\n3. Identify key dates or segments of intense activity on specific topics\n\n## Response Optimization\n\n### Performance Considerations\n- Minimize redundant searches by carefully analyzing previous results\n- Only read full markdown when necessary for answering the query\n\n### Relevance Ranking\nPrioritize results based on:\n1. Query match strength\n2. Recency (unless historical view requested)\n3. Frequency of topic appearance\n4. Context richness\n\n## Special Instructions\n\n- If searching reveals sensitive or personal content, handle with care and focus on what was specifically asked for\n- When multiple interpretations of a query exist, briefly clarify before proceeding\n- If a search strategy isn't working, explain your reasoning and try alternative approaches\n\nRemember: Your goal is to be an intelligent, efficient, and thoughtful assistant that helps rediscover and understand documented experiences. Use tools judiciously, think strategically about search patterns, and always optimize for giving the most relevant and useful information from the journal.", 3 3 "multi_facet": false, 4 4 "name": "default", 5 5 "title": "Journal Chat"

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tests/baselines/api/agents/updated-days.json

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··· 1 1 - [] 1 1 + [ 2 2 + "20250101" 3 3 + ]

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tests/baselines/api/home/stats-month.json

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··· 1 1 - { 2 2 - "20260304": 7, 3 3 - "20260305": 6, 4 4 - "20260306": 12, 5 5 - "20260307": 5, 6 6 - "20260308": 7, 7 7 - "20260309": 9, 8 8 - "20260310": 9 9 9 - }

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tests/baselines/api/search/day-results.json

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··· 14 14 "id": "20260304/agents/knowledge_graph.md:7", 15 15 "idx": 7, 16 16 "path": "20260304/agents/knowledge_graph.md", 17 17 - "score": -2.6, 17 17 + "score": -2.0, 18 18 "stream": null, 19 19 "text": "# Part 1: Entity Extraction and Relationship Mapping\n\n## Relationship Mapping\n\n| Source Name | Target Name | Relationship Type | Context |\n| :--- | :--- | :--- | :--- |\n| **Romeo Montague** | **Juliet Capulet** | `met-at-conference` | First <strong>meeting</strong> at Denver Tech Summit keynote. |\n" 20 20 }

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tests/baselines/api/search/search.json

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··· 79 79 "id": "20260306/default/093000_300/agents/audio.md:0", 80 80 "idx": 0, 81 81 "path": "20260306/default/093000_300/agents/audio.md", 82 82 - "score": -2.7, 82 82 + "score": -1.7, 83 83 "stream": "default", 84 84 "text": "# Audio Summary Morning standup. Benvolio noticed <strong>Romeo</strong>'s late-night GitHub activity and pressed him about API gateway commits. <strong>Romeo</strong> deflected, calling it a personal mesh routing prototype. Mercutio covered for him. Balthasar reported progress on the mesh routing fallback PR with an edge case for <strong>Romeo</strong> to review. Benvolio scheduled..." 85 85 }, ··· 95 95 "id": "facets/montague/entities/20260306.jsonl:0", 96 96 "idx": 0, 97 97 "path": "facets/montague/entities/20260306.jsonl", 98 98 - "score": -3.3, 98 98 + "score": -2.1, 99 99 "stream": null, 100 100 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nContinued Verona Platform development\n\n" 101 101 }, ··· 111 111 "id": "facets/montague/entities/20260306.jsonl:3", 112 112 "idx": 3, 113 113 "path": "facets/montague/entities/20260306.jsonl", 114 114 - "score": -3.1, 114 114 + "score": -2.0, 115 115 "stream": null, 116 116 "text": "### Person: Balthasar Davi\n\n\nReviewed mesh routing PR with <strong>Romeo</strong>\n\n" 117 117 }, ··· 127 127 "id": "facets/montague/entities/20260306.jsonl:4", 128 128 "idx": 4, 129 129 "path": "facets/montague/entities/20260306.jsonl", 130 130 - "score": -3.2, 130 130 + "score": -2.1, 131 131 "stream": null, 132 132 "text": "### Person: Mercutio Escalus\n\n\nCovered for <strong>Romeo</strong> during standup\n\n" 133 133 }, ··· 143 143 "id": "20260306/default/093000_300/agents/screen.md:0", 144 144 "idx": 0, 145 145 "path": "20260306/default/093000_300/agents/screen.md", 146 146 - "score": -2.9, 146 146 + "score": -1.9, 147 147 "stream": "default", 148 148 "text": "# Screen Summary\n\nSlack standup channel. Benvolio questioning <strong>Romeo</strong> about late-night commits.\n" 149 149 } ··· 168 168 "id": "facets/verona/logs/20260309.jsonl:1", 169 169 "idx": 1, 170 170 "path": "facets/verona/logs/20260309.jsonl", 171 171 - "score": -2.5, 171 171 + "score": -1.6, 172 172 "stream": null, 173 173 "text": "### Deploy Complete by <strong>romeo</strong>_montague\n\n**Source:** deploy | **Time:** 13:45:00\n\n**Parameters:**\n- service: verona-gateway\n- version: 0.9.0\n" 174 174 }, ··· 184 184 "id": "20260309/default/090000_300/agents/audio.md:0", 185 185 "idx": 0, 186 186 "path": "20260309/default/090000_300/agents/audio.md", 187 187 - "score": -2.3, 187 187 + "score": -1.5, 188 188 "stream": "default", 189 189 "text": "# Audio Summary\n\n<strong>Romeo</strong> confessed the project to Benvolio and asked for infrastructure help. Benvolio agreed to spin up a Kubernetes staging cluster.\n" 190 190 }, ··· 200 200 "id": "facets/montague/entities/20260309.jsonl:0", 201 201 "idx": 0, 202 202 "path": "facets/montague/entities/20260309.jsonl", 203 203 - "score": -3.1, 203 203 + "score": -2.0, 204 204 "stream": null, 205 205 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nConfessed project to Benvolio, preparing demo\n\n" 206 206 }, ··· 216 216 "id": "facets/montague/calendar/20260309.jsonl:0", 217 217 "idx": 0, 218 218 "path": "facets/montague/calendar/20260309.jsonl", 219 219 - "score": -2.7, 219 219 + "score": -1.7, 220 220 "stream": null, 221 221 "text": "### Event: Team Standup\n\n\n**Time Occurred:** 09:00 - 09:30\n**Participants:** <strong>Romeo</strong> Montague, Benvolio Montague\n\nDaily sync\n" 222 222 }, ··· 232 232 "id": "facets/verona/calendar/20260309.jsonl:0", 233 233 "idx": 0, 234 234 "path": "facets/verona/calendar/20260309.jsonl", 235 235 - "score": -2.4, 235 235 + "score": -1.5, 236 236 "stream": null, 237 237 "text": "### Event: Demo Sprint\n\n\n**Time Occurred:** 09:00 - 21:00\n**Participants:** <strong>Romeo</strong> Montague, Juliet Capulet, Benvolio Montague\n\nFull day board presentation preparation\n" 238 238 } ··· 257 257 "id": "20260307/default/100000_300/agents/audio.md:0", 258 258 "idx": 0, 259 259 "path": "20260307/default/100000_300/agents/audio.md", 260 260 - "score": -3.2, 260 260 + "score": -2.0, 261 261 "stream": "default", 262 262 "text": "# Audio Summary\n\nHeated confrontation. Tybalt Capulet accused <strong>Romeo</strong> of stealing Capulet IP. Mercutio defended <strong>Romeo</strong> and had his Capulet consulting contract terminated by Tybalt.\n" 263 263 }, ··· 273 273 "id": "20260307/default/150000_300/agents/audio.md:0", 274 274 "idx": 0, 275 275 "path": "20260307/default/150000_300/agents/audio.md", 276 276 - "score": -3.4, 276 276 + "score": -2.2, 277 277 "stream": "default", 278 278 "text": "# Audio Summary\n\nEmergency meeting at Montague Tech. Benvolio questioned <strong>Romeo</strong> about the secret project. <strong>Romeo</strong> clarified no company IP was shared. Team discussed legal exposure. <strong>Romeo</strong> proposed Professor Lawrence as mediator.\n" 279 279 }, ··· 289 289 "id": "facets/montague/entities/20260307.jsonl:0", 290 290 "idx": 0, 291 291 "path": "facets/montague/entities/20260307.jsonl", 292 292 - "score": -3.1, 292 292 + "score": -2.0, 293 293 "stream": null, 294 294 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nConfronted by Tybalt, called emergency meeting\n\n" 295 295 }, ··· 305 305 "id": "facets/montague/calendar/20260307.jsonl:0", 306 306 "idx": 0, 307 307 "path": "facets/montague/calendar/20260307.jsonl", 308 308 - "score": -2.4, 308 308 + "score": -1.6, 309 309 "stream": null, 310 310 "text": "### Event: Emergency Team Meeting\n\n\n**Time Occurred:** 15:00 - 16:00\n**Participants:** <strong>Romeo</strong> Montague, Benvolio Montague\n\nCrisis response to Capulet situation\n" 311 311 }, ··· 321 321 "id": "facets/montague/events/20260307.jsonl:0", 322 322 "idx": 0, 323 323 "path": "facets/montague/events/20260307.jsonl", 324 324 - "score": -3.0, 324 324 + "score": -1.9, 325 325 "stream": null, 326 326 "text": "### Meeting: Confrontation with Tybalt\n\n\n**Time Occurred:** 10:00 - 10:30\n**Participants:** <strong>Romeo</strong> Montague, Tybalt Capulet, Mercutio Escalus\n\nTybalt accused <strong>Romeo</strong> of IP theft\n\nMercutio fired from Capulet contract\n" 327 327 } ··· 346 346 "id": "facets/montague/entities/20260308.jsonl:0", 347 347 "idx": 0, 348 348 "path": "facets/montague/entities/20260308.jsonl", 349 349 - "score": -3.1, 349 349 + "score": -2.0, 350 350 "stream": null, 351 351 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nUnder board pressure, planning board presentation\n\n" 352 352 }, ··· 362 362 "id": "facets/verona/events/20260308.jsonl:0", 363 363 "idx": 0, 364 364 "path": "facets/verona/events/20260308.jsonl", 365 365 - "score": -2.1, 365 365 + "score": -1.4, 366 366 "stream": null, 367 367 "text": "### Meeting: Strategy Call with Professor Lawrence\n\n\n**Time Occurred:** 10:00 - 11:00\n**Participants:** <strong>Romeo</strong> Montague, Juliet Capulet, Friar Lawrence\n\nJoint venture strategy planning\n\nProposed board presentation strategy\n" 368 368 }, ··· 378 378 "id": "20260308/agents/knowledge_graph.md:2", 379 379 "idx": 2, 380 380 "path": "20260308/agents/knowledge_graph.md", 381 381 - "score": -2.0, 381 381 + "score": -1.3, 382 382 "stream": null, 383 383 "text": "# Part 1: Entity Extraction and Relationship Mapping ## Entity Profiles | Entity Name | Entity Type | First Appearance | Total Engagement | Context | | :--- | :--- | :--- | :--- | :--- | | **<strong>Romeo</strong> Montague** | Person | 10:00 | High | Under board pressure,..." 384 384 }, ··· 394 394 "id": "20260308/agents/meetings.md:0", 395 395 "idx": 0, 396 396 "path": "20260308/agents/meetings.md", 397 397 - "score": -3.0, 397 397 + "score": -1.9, 398 398 "stream": null, 399 399 "text": "# Meetings\n\n- 10:00 Strategy Call with Professor Lawrence, <strong>Romeo</strong>, and Juliet\n" 400 400 } ··· 419 419 "id": "facets/verona/logs/20260305.jsonl:0", 420 420 "idx": 0, 421 421 "path": "facets/verona/logs/20260305.jsonl", 422 422 - "score": -2.6, 422 422 + "score": -1.7, 423 423 "stream": null, 424 424 "text": "### Repo Created by <strong>romeo</strong>_montague\n\n**Source:** github | **Time:** 22:05:00\n\n**Parameters:**\n- repo: balcony-app\n- visibility: private\n" 425 425 }, ··· 435 435 "id": "20260305/default/090000_300/agents/audio.md:0", 436 436 "idx": 0, 437 437 "path": "20260305/default/090000_300/agents/audio.md", 438 438 - "score": -3.0, 438 438 + "score": -1.9, 439 439 "stream": "default", 440 440 "text": "# Audio Summary\n\nMorning standup at Montague Tech. Benvolio reported CI pipeline is green. <strong>Romeo</strong> mentioned wanting to explore ideas from the conference. Mercutio teased about <strong>Romeo</strong> meeting someone.\n" 441 441 }, ··· 451 451 "id": "facets/montague/entities/20260305.jsonl:0", 452 452 "idx": 0, 453 453 "path": "facets/montague/entities/20260305.jsonl", 454 454 - "score": -3.1, 454 454 + "score": -2.0, 455 455 "stream": null, 456 456 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nStarted Balcony App prototype with Juliet\n\n" 457 457 }, ··· 467 467 "id": "facets/verona/entities/20260305.jsonl:0", 468 468 "idx": 0, 469 469 "path": "facets/verona/entities/20260305.jsonl", 470 470 - "score": -3.1, 470 470 + "score": -2.0, 471 471 "stream": null, 472 472 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nSet up private repo for collaboration\n\n" 473 473 }, ··· 483 483 "id": "facets/montague/events/20260305.jsonl:0", 484 484 "idx": 0, 485 485 "path": "facets/montague/events/20260305.jsonl", 486 486 - "score": -3.2, 486 486 + "score": -2.0, 487 487 "stream": null, 488 488 "text": "### Meeting: Montague Tech Daily Standup\n\n\n**Time Occurred:** 09:00 - 09:30\n**Participants:** <strong>Romeo</strong> Montague, Benvolio Montague, Mercutio Escalus\n\nTeam standup\n\n<strong>Romeo</strong> mentioned conference ideas\n" 489 489 } ··· 508 508 "id": "facets/montague/entities/20260310.jsonl:0", 509 509 "idx": 0, 510 510 "path": "facets/montague/entities/20260310.jsonl", 511 511 - "score": -3.0, 511 511 + "score": -1.9, 512 512 "stream": null, 513 513 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nNamed co-lead of Verona Platform joint venture\n\n" 514 514 }, ··· 524 524 "id": "facets/verona/entities/20260310.jsonl:0", 525 525 "idx": 0, 526 526 "path": "facets/verona/entities/20260310.jsonl", 527 527 - "score": -3.1, 527 527 + "score": -2.0, 528 528 "stream": null, 529 529 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nNamed co-lead of approved joint venture\n\n" 530 530 }, ··· 540 540 "id": "facets/montague/calendar/20260310.jsonl:0", 541 541 "idx": 0, 542 542 "path": "facets/montague/calendar/20260310.jsonl", 543 543 - "score": -2.4, 543 543 + "score": -1.5, 544 544 "stream": null, 545 545 "text": "### Event: Joint Board Meeting\n\n\n**Time Occurred:** 10:00 - 12:00\n**Participants:** <strong>Romeo</strong> Montague, Benvolio Montague\n\nQuarterly review with Verona Platform presentation\n" 546 546 }, ··· 556 556 "id": "facets/verona/calendar/20260310.jsonl:0", 557 557 "idx": 0, 558 558 "path": "facets/verona/calendar/20260310.jsonl", 559 559 - "score": -2.4, 559 559 + "score": -1.5, 560 560 "stream": null, 561 561 "text": "### Event: Board Presentation\n\n\n**Time Occurred:** 10:00 - 12:00\n**Participants:** <strong>Romeo</strong> Montague, Juliet Capulet, Friar Lawrence\n\nVerona Platform joint venture pitch\n" 562 562 }, ··· 572 572 "id": "20260310/agents/meetings.md:0", 573 573 "idx": 0, 574 574 "path": "20260310/agents/meetings.md", 575 575 - "score": -3.1, 575 575 + "score": -2.0, 576 576 "stream": null, 577 577 "text": "# Meetings\n\n- 08:30 Pre-Board Meeting Prep (<strong>Romeo</strong>, Juliet, Benvolio)\n" 578 578 } ··· 597 597 "id": "20260304/default/180000_300/agents/audio.md:0", 598 598 "idx": 0, 599 599 "path": "20260304/default/180000_300/agents/audio.md", 600 600 - "score": -3.0, 600 600 + "score": -1.9, 601 601 "stream": "default", 602 602 "text": "# Audio Summary\n\nEvening mixer at Denver Tech Summit. <strong>Romeo</strong> and Juliet had their first extended conversation about combining their API approaches. Mercutio tried to pull <strong>Romeo</strong> away to karaoke.\n" 603 603 }, ··· 613 613 "id": "facets/capulet/entities/20260304.jsonl:1", 614 614 "idx": 1, 615 615 "path": "facets/capulet/entities/20260304.jsonl", 616 616 - "score": -3.3, 616 616 + "score": -2.1, 617 617 "stream": null, 618 618 "text": "### Person: Tybalt Capulet\n\n\nConfronted <strong>Romeo</strong> at hackathon\n\n" 619 619 }, ··· 629 629 "id": "facets/montague/entities/20260304.jsonl:0", 630 630 "idx": 0, 631 631 "path": "facets/montague/entities/20260304.jsonl", 632 632 - "score": -3.1, 632 632 + "score": -2.0, 633 633 "stream": null, 634 634 "text": "### Person: <strong>Romeo</strong> Montague\n\n\nAttended Denver Tech Summit, met Juliet Capulet\n\n" 635 635 }, ··· 645 645 "id": "facets/capulet/events/20260304.jsonl:1", 646 646 "idx": 1, 647 647 "path": "facets/capulet/events/20260304.jsonl", 648 648 - "score": -3.3, 648 648 + "score": -2.1, 649 649 "stream": null, 650 650 "text": "### Social: Conference Mixer\n\n\n**Time Occurred:** 18:00 - 20:00\n**Participants:** Juliet Capulet, <strong>Romeo</strong> Montague\n\nNetworking event\n\nJuliet and <strong>Romeo</strong> exchanged Signal contacts\n" 651 651 }, ··· 661 661 "id": "facets/montague/events/20260304.jsonl:1", 662 662 "idx": 1, 663 663 "path": "facets/montague/events/20260304.jsonl", 664 664 - "score": -3.2, 664 664 + "score": -2.1, 665 665 "stream": null, 666 666 "text": "### Hackathon: Hackathon - API Bridge Challenge\n\n\n**Time Occurred:** 14:00 - 18:00\n**Participants:** <strong>Romeo</strong> Montague, Mercutio Escalus\n\nBuilt API bridge prototype\n\nTybalt confronted <strong>Romeo</strong>\n" 667 667 }

+11 -5

tests/baselines/api/settings/config.json

reviewed

··· 1 1 { 2 2 + "agent": { 3 3 + "name": "sol", 4 4 + "name_status": "default", 5 5 + "named_date": null, 6 6 + "proposal_count": 0 7 7 + }, 2 8 "convey": { 3 9 "password": "test123" 4 10 }, ··· 76 82 } 77 83 }, 78 84 "system_env": { 79 79 - "ANTHROPIC_API_KEY": true, 80 80 - "GOOGLE_API_KEY": true, 81 81 - "OPENAI_API_KEY": true, 82 82 - "PLAUD_ACCESS_TOKEN": true, 83 83 - "REVAI_ACCESS_TOKEN": true 85 85 + "ANTHROPIC_API_KEY": false, 86 86 + "GOOGLE_API_KEY": false, 87 87 + "OPENAI_API_KEY": false, 88 88 + "PLAUD_ACCESS_TOKEN": false, 89 89 + "REVAI_ACCESS_TOKEN": false 84 90 }, 85 91 "transcribe": { 86 92 "backend": "whisper",

+10

tests/baselines/api/settings/generators.json

reviewed

··· 184 184 }, 185 185 { 186 186 "app": null, 187 187 + "description": "One-shot check-in after onboarding — spawns support agent chat", 188 188 + "disabled": false, 189 189 + "extract": null, 190 190 + "has_extraction": false, 191 191 + "key": "firstday_checkin", 192 192 + "source": "system", 193 193 + "title": "First-Day Check-In" 194 194 + }, 195 195 + { 196 196 + "app": null, 187 197 "description": "Synthesizes segment activity from content, focusing on observable changes and searchability.", 188 198 "disabled": false, 189 199 "extract": null,

+25 -3

tests/baselines/api/settings/providers.json

reviewed

··· 1 1 { 2 2 "api_keys": { 3 3 - "anthropic": true, 4 4 - "google": true, 5 5 - "openai": true 3 3 + "anthropic": false, 4 4 + "google": false, 5 5 + "openai": false 6 6 }, 7 7 "auth": { 8 8 "anthropic": "platform", ··· 60 60 "group": "Entities", 61 61 "label": "Entity Observer", 62 62 "schedule": "daily", 63 63 + "tier": 2, 64 64 + "type": "cogitate" 65 65 + }, 66 66 + "muse.support.support": { 67 67 + "disabled": false, 68 68 + "group": "Think", 69 69 + "label": "Support", 63 70 "tier": 2, 64 71 "type": "cogitate" 65 72 }, ··· 176 183 "tier": 2, 177 184 "type": "generate" 178 185 }, 186 186 + "muse.system.firstday_checkin": { 187 187 + "disabled": false, 188 188 + "group": "Think", 189 189 + "label": "First-Day Check-In", 190 190 + "schedule": "segment", 191 191 + "tier": 3, 192 192 + "type": "generate" 193 193 + }, 179 194 "muse.system.flow": { 180 195 "disabled": false, 181 196 "extract": true, ··· 244 259 "schedule": "activity", 245 260 "tier": 2, 246 261 "type": "generate" 262 262 + }, 263 263 + "muse.system.naming": { 264 264 + "disabled": false, 265 265 + "group": "Think", 266 266 + "label": "Naming", 267 267 + "tier": 2, 268 268 + "type": "cogitate" 247 269 }, 248 270 "muse.system.observation": { 249 271 "disabled": false,

+5 -5

tests/baselines/api/settings/sync.json

reviewed

··· 1 1 { 2 2 - "plaud": { 3 3 - "available": true, 4 4 - "configured": false, 5 5 - "enabled": false 6 6 - }, 7 2 "granola": { 8 3 "configured": false, 9 4 "enabled": false 10 5 }, 11 6 "obsidian": { 12 7 "available": true, 8 8 + "configured": false, 9 9 + "enabled": false 10 10 + }, 11 11 + "plaud": { 12 12 + "available": false, 13 13 "configured": false, 14 14 "enabled": false 15 15 }

+2 -2

tests/baselines/api/settings/transcribe.json

reviewed

··· 1 1 { 2 2 "api_keys": { 3 3 - "gemini": true, 4 4 - "revai": true, 3 3 + "gemini": false, 4 4 + "revai": false, 5 5 "whisper": true 6 6 }, 7 7 "backends": [

+23 -1304

tests/baselines/api/stats/stats.json

reviewed

··· 182 182 "title": "Facet Classification", 183 183 "type": "generate" 184 184 }, 185 185 + "firstday_checkin": { 186 186 + "color": "#6c757d", 187 187 + "description": "One-shot check-in after onboarding — spawns support agent chat", 188 188 + "exclude_streams": [ 189 189 + "import.*" 190 190 + ], 191 191 + "hook": { 192 192 + "post": "firstday_checkin", 193 193 + "pre": "firstday_checkin" 194 194 + }, 195 195 + "max_output_tokens": 256, 196 196 + "mtime": 0, 197 197 + "output": "text", 198 198 + "path": "<PROJECT>/muse/firstday_checkin.md", 199 199 + "priority": 98, 200 200 + "schedule": "segment", 201 201 + "source": "system", 202 202 + "thinking_budget": 512, 203 203 + "tier": 3, 204 204 + "title": "First-Day Check-In", 205 205 + "type": "generate" 206 206 + }, 185 207 "flow": { 186 208 "color": "#17a2b8", 187 209 "description": "Summarizes the overall flow of the workday. Looks for patterns in focus, energy, context switching and highlights productivity insights in a Markdown report.", ··· 445 467 "type": "generate" 446 468 } 447 469 }, 448 448 - "stats": { 449 449 - "agent_counts": { 450 450 - "activity": 2, 451 451 - "flow": 11, 452 452 - "meetings": 8 453 453 - }, 454 454 - "agent_counts_by_day": { 455 455 - "20240101": { 456 456 - "activity": 2, 457 457 - "meetings": 1 458 458 - }, 459 459 - "20260304": { 460 460 - "flow": 4 461 461 - }, 462 462 - "20260305": { 463 463 - "flow": 1, 464 464 - "meetings": 1 465 465 - }, 466 466 - "20260306": { 467 467 - "flow": 2, 468 468 - "meetings": 1 469 469 - }, 470 470 - "20260307": { 471 471 - "flow": 2, 472 472 - "meetings": 1 473 473 - }, 474 474 - "20260308": { 475 475 - "meetings": 1 476 476 - }, 477 477 - "20260309": { 478 478 - "flow": 2 479 479 - }, 480 480 - "20260310": { 481 481 - "meetings": 3 482 482 - } 483 483 - }, 484 484 - "agent_minutes": { 485 485 - "activity": 180.0, 486 486 - "flow": 1979.0, 487 487 - "meetings": 570.0 488 488 - }, 489 489 - "days": { 490 490 - "20240101": { 491 491 - "audio_duration": 44.0, 492 492 - "audio_segments": 6, 493 493 - "audio_sessions": 2, 494 494 - "day_bytes": 39028, 495 495 - "outputs_pending": 9, 496 496 - "outputs_processed": 2, 497 497 - "pending_segments": 0, 498 498 - "screen_duration": 0.0, 499 499 - "screen_frames": 0, 500 500 - "screen_sessions": 1 501 501 - }, 502 502 - "20240102": { 503 503 - "audio_duration": 29.0, 504 504 - "audio_segments": 3, 505 505 - "audio_sessions": 1, 506 506 - "day_bytes": 38591, 507 507 - "outputs_pending": 11, 508 508 - "outputs_processed": 1, 509 509 - "pending_segments": 0, 510 510 - "screen_duration": 23.1, 511 511 - "screen_frames": 3, 512 512 - "screen_sessions": 1 513 513 - }, 514 514 - "20250101": { 515 515 - "audio_duration": 0.0, 516 516 - "day_bytes": 68855, 517 517 - "outputs_pending": 12, 518 518 - "outputs_processed": 0, 519 519 - "pending_segments": 0, 520 520 - "screen_duration": 0.0 521 521 - }, 522 522 - 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"output_tokens": 218, 1305 1305 - "reasoning_tokens": 662, 1306 1306 - "total_tokens": 1354 1307 1307 - }, 1308 1308 - "gemini-2.5-flash-lite": { 1309 1309 - "cached_tokens": 0, 1310 1310 - "input_tokens": 12, 1311 1311 - "output_tokens": 1, 1312 1312 - "reasoning_tokens": 0, 1313 1313 - "total_tokens": 13 1314 1314 - } 1315 1315 - }, 1316 1316 - "20250916": { 1317 1317 - "gemini-2.5-flash": { 1318 1318 - "input_tokens": 348, 1319 1319 - "output_tokens": 153, 1320 1320 - "reasoning_tokens": 1307, 1321 1321 - "total_tokens": 1808 1322 1322 - }, 1323 1323 - "gemini-2.5-flash-lite": { 1324 1324 - "input_tokens": 24, 1325 1325 - "output_tokens": 2, 1326 1326 - "total_tokens": 26 1327 1327 - } 1328 1328 - }, 1329 1329 - "20250917": { 1330 1330 - "gemini-2.5-flash": { 1331 1331 - "input_tokens": 174, 1332 1332 - "output_tokens": 80, 1333 1333 - "reasoning_tokens": 657, 1334 1334 - "total_tokens": 911 1335 1335 - }, 1336 1336 - "gemini-2.5-flash-lite": { 1337 1337 - "input_tokens": 12, 1338 1338 - 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} 1373 1373 - }, 1374 1374 - "20250921": { 1375 1375 - "gemini-2.5-flash": { 1376 1376 - "cached_tokens": 0, 1377 1377 - "input_tokens": 800, 1378 1378 - "output_tokens": 400, 1379 1379 - "reasoning_tokens": 0, 1380 1380 - "total_tokens": 1200 1381 1381 - }, 1382 1382 - "gemini-2.5-flash-lite": { 1383 1383 - "cached_tokens": 0, 1384 1384 - "input_tokens": 0, 1385 1385 - "output_tokens": 0, 1386 1386 - "reasoning_tokens": 0, 1387 1387 - "total_tokens": 0 1388 1388 - } 1389 1389 - }, 1390 1390 - "20250926": { 1391 1391 - "gemini-2.5-flash": { 1392 1392 - "input_tokens": 174, 1393 1393 - "output_tokens": 79, 1394 1394 - "reasoning_tokens": 648, 1395 1395 - "total_tokens": 901 1396 1396 - }, 1397 1397 - "gemini-2.5-flash-lite": { 1398 1398 - "input_tokens": 12, 1399 1399 - "output_tokens": 1, 1400 1400 - "total_tokens": 13 1401 1401 - } 1402 1402 - }, 1403 1403 - "20250928": { 1404 1404 - "gemini-2.5-flash": { 1405 1405 - "cached_tokens": 0, 1406 1406 - "input_tokens": 200, 1407 1407 - "output_tokens": 100, 1408 1408 - "reasoning_tokens": 0, 1409 1409 - "total_tokens": 300 1410 1410 - }, 1411 1411 - "gemini-2.5-flash-lite": { 1412 1412 - "cached_tokens": 0, 1413 1413 - "input_tokens": 0, 1414 1414 - "output_tokens": 0, 1415 1415 - "reasoning_tokens": 0, 1416 1416 - "total_tokens": 0 1417 1417 - } 1418 1418 - }, 1419 1419 - "20251004": { 1420 1420 - "gemini-2.5-flash": { 1421 1421 - "cached_tokens": 0, 1422 1422 - "input_tokens": 1000, 1423 1423 - "output_tokens": 500, 1424 1424 - "reasoning_tokens": 0, 1425 1425 - "total_tokens": 1500 1426 1426 - }, 1427 1427 - "gemini-2.5-flash-lite": { 1428 1428 - "cached_tokens": 0, 1429 1429 - "input_tokens": 0, 1430 1430 - "output_tokens": 0, 1431 1431 - "reasoning_tokens": 0, 1432 1432 - "total_tokens": 0 1433 1433 - } 1434 1434 - }, 1435 1435 - "20251005": { 1436 1436 - "gemini-2.5-flash": { 1437 1437 - "cached_tokens": 0, 1438 1438 - "input_tokens": 1274, 1439 1439 - "output_tokens": 636, 1440 1440 - "reasoning_tokens": 559, 1441 1441 - "total_tokens": 2469 1442 1442 - }, 1443 1443 - "gemini-2.5-flash-lite": { 1444 1444 - "cached_tokens": 0, 1445 1445 - "input_tokens": 12, 1446 1446 - "output_tokens": 1, 1447 1447 - "reasoning_tokens": 0, 1448 1448 - "total_tokens": 13 1449 1449 - } 1450 1450 - }, 1451 1451 - "20251007": { 1452 1452 - "gemini-2.5-flash": { 1453 1453 - "input_tokens": 174, 1454 1454 - "output_tokens": 79, 1455 1455 - "reasoning_tokens": 636, 1456 1456 - "total_tokens": 889 1457 1457 - }, 1458 1458 - "gemini-2.5-flash-lite": { 1459 1459 - "input_tokens": 12, 1460 1460 - "output_tokens": 1, 1461 1461 - "total_tokens": 13 1462 1462 - } 1463 1463 - }, 1464 1464 - "20251011": { 1465 1465 - "gemini-2.5-flash": { 1466 1466 - "cached_tokens": 0, 1467 1467 - "input_tokens": 2685, 1468 1468 - "output_tokens": 1137, 1469 1469 - "reasoning_tokens": 4666, 1470 1470 - "total_tokens": 8488 1471 1471 - }, 1472 1472 - "gemini-2.5-flash-lite": { 1473 1473 - "cached_tokens": 0, 1474 1474 - "input_tokens": 70, 1475 1475 - "output_tokens": 7, 1476 1476 - "reasoning_tokens": 0, 1477 1477 - "total_tokens": 77 1478 1478 - } 1479 1479 - }, 1480 1480 - "20251012": { 1481 1481 - "gemini-2.5-flash": { 1482 1482 - "cached_tokens": 300, 1483 1483 - "input_tokens": 2144, 1484 1484 - "output_tokens": 824, 1485 1485 - "reasoning_tokens": 553, 1486 1486 - "total_tokens": 3371 1487 1487 - }, 1488 1488 - "gemini-2.5-flash-lite": { 1489 1489 - "input_tokens": 5, 1490 1490 - "output_tokens": 1, 1491 1491 - "total_tokens": 6 1492 1492 - }, 1493 1493 - "gpt-5": { 1494 1494 - "cached_tokens": 200, 1495 1495 - "input_tokens": 1000, 1496 1496 - "output_tokens": 500, 1497 1497 - "reasoning_tokens": 100, 1498 1498 - "requests": 1, 1499 1499 - "total_tokens": 1500 1500 1500 - } 1501 1501 - }, 1502 1502 - "20251013": { 1503 1503 - "gemini-2.5-flash": { 1504 1504 - "input_tokens": 296, 1505 1505 - "output_tokens": 101, 1506 1506 - "reasoning_tokens": 948, 1507 1507 - "total_tokens": 1345 1508 1508 - }, 1509 1509 - "gemini-2.5-flash-lite": { 1510 1510 - "input_tokens": 5, 1511 1511 - "output_tokens": 1, 1512 1512 - "total_tokens": 6 1513 1513 - } 1514 1514 - }, 1515 1515 - "20251015": { 1516 1516 - "gemini-2.5-flash": { 1517 1517 - "input_tokens": 830, 1518 1518 - "output_tokens": 260, 1519 1519 - "reasoning_tokens": 2691, 1520 1520 - "total_tokens": 3781 1521 1521 - }, 1522 1522 - "gemini-2.5-flash-lite": { 1523 1523 - "input_tokens": 34, 1524 1524 - "output_tokens": 4, 1525 1525 - "total_tokens": 38 1526 1526 - } 1527 1527 - }, 1528 1528 - "20251016": { 1529 1529 - "clean-format-test": { 1530 1530 - "input_tokens": 100, 1531 1531 - "output_tokens": 50, 1532 1532 - "total_tokens": 150 1533 1533 - } 1534 1534 - }, 1535 1535 - "20251025": { 1536 1536 - "gemini-2.5-flash": { 1537 1537 - "input_tokens": 1344, 1538 1538 - "output_tokens": 624, 1539 1539 - "reasoning_tokens": 408, 1540 1540 - "total_tokens": 2376 1541 1541 - }, 1542 1542 - "gemini-2.5-flash-lite": { 1543 1543 - "input_tokens": 5, 1544 1544 - "output_tokens": 1, 1545 1545 - "total_tokens": 6 1546 1546 - } 1547 1547 - }, 1548 1548 - "20260211": { 1549 1549 - "gemini-2.5-flash-lite": { 1550 1550 - "input_tokens": 212, 1551 1551 - "output_tokens": 20, 1552 1552 - "total_tokens": 232 1553 1553 - }, 1554 1554 - "gemini-3-flash-preview": { 1555 1555 - "input_tokens": 288, 1556 1556 - "output_tokens": 72, 1557 1557 - "total_tokens": 2021 1558 1558 - } 1559 1559 - }, 1560 1560 - "20260214": { 1561 1561 - "gemini-2.5-flash-lite": { 1562 1562 - "input_tokens": 106, 1563 1563 - "output_tokens": 10, 1564 1564 - "total_tokens": 116 1565 1565 - }, 1566 1566 - "gemini-3-flash-preview": { 1567 1567 - "input_tokens": 144, 1568 1568 - "output_tokens": 36, 1569 1569 - "total_tokens": 979 1570 1570 - } 1571 1571 - }, 1572 1572 - "20260215": { 1573 1573 - "gemini-2.5-flash-lite": { 1574 1574 - "input_tokens": 106, 1575 1575 - "output_tokens": 10, 1576 1576 - "total_tokens": 116 1577 1577 - }, 1578 1578 - "gemini-3-flash-preview": { 1579 1579 - "input_tokens": 144, 1580 1580 - "output_tokens": 36, 1581 1581 - "total_tokens": 977 1582 1582 - } 1583 1583 - }, 1584 1584 - "20260216": { 1585 1585 - "gemini-2.5-flash-lite": { 1586 1586 - "input_tokens": 53, 1587 1587 - "output_tokens": 5, 1588 1588 - "total_tokens": 58 1589 1589 - }, 1590 1590 - "gemini-3-flash-preview": { 1591 1591 - "input_tokens": 72, 1592 1592 - "output_tokens": 18, 1593 1593 - "total_tokens": 494 1594 1594 - } 1595 1595 - }, 1596 1596 - "20260217": { 1597 1597 - "gemini-2.5-flash-lite": { 1598 1598 - "input_tokens": 265, 1599 1599 - "output_tokens": 25, 1600 1600 - "total_tokens": 290 1601 1601 - }, 1602 1602 - "gemini-3-flash-preview": { 1603 1603 - "input_tokens": 360, 1604 1604 - "output_tokens": 90, 1605 1605 - "total_tokens": 2426 1606 1606 - } 1607 1607 - }, 1608 1608 - "20260222": { 1609 1609 - "gemini-2.5-flash-lite": { 1610 1610 - "input_tokens": 53, 1611 1611 - "output_tokens": 5, 1612 1612 - "total_tokens": 58 1613 1613 - }, 1614 1614 - "gemini-3-flash-preview": { 1615 1615 - "input_tokens": 72, 1616 1616 - "output_tokens": 18, 1617 1617 - "total_tokens": 481 1618 1618 - } 1619 1619 - }, 1620 1620 - "20260305": { 1621 1621 - "claude-sonnet-4-5": { 1622 1622 - "cached_tokens": 1000, 1623 1623 - "input_tokens": 4200, 1624 1624 - "output_tokens": 1500, 1625 1625 - "reasoning_tokens": 200, 1626 1626 - "total_tokens": 5700 1627 1627 - }, 1628 1628 - "gemini-2.5-flash": { 1629 1629 - "cached_tokens": 500, 1630 1630 - "input_tokens": 2500, 1631 1631 - "output_tokens": 800, 1632 1632 - "reasoning_tokens": 0, 1633 1633 - "total_tokens": 3300 1634 1634 - } 1635 1635 - }, 1636 1636 - "20260306": { 1637 1637 - "claude-sonnet-4-5": { 1638 1638 - "cached_tokens": 1000, 1639 1639 - "input_tokens": 4200, 1640 1640 - "output_tokens": 1500, 1641 1641 - "reasoning_tokens": 200, 1642 1642 - "total_tokens": 5700 1643 1643 - }, 1644 1644 - "gemini-2.5-flash": { 1645 1645 - "cached_tokens": 500, 1646 1646 - "input_tokens": 2500, 1647 1647 - "output_tokens": 800, 1648 1648 - "reasoning_tokens": 0, 1649 1649 - "total_tokens": 3300 1650 1650 - } 1651 1651 - }, 1652 1652 - "20260307": { 1653 1653 - "claude-sonnet-4-5": { 1654 1654 - "cached_tokens": 1000, 1655 1655 - "input_tokens": 4200, 1656 1656 - "output_tokens": 1500, 1657 1657 - "reasoning_tokens": 200, 1658 1658 - "total_tokens": 5700 1659 1659 - }, 1660 1660 - "gemini-2.5-flash": { 1661 1661 - "cached_tokens": 500, 1662 1662 - "input_tokens": 2500, 1663 1663 - "output_tokens": 800, 1664 1664 - "reasoning_tokens": 0, 1665 1665 - "total_tokens": 3300 1666 1666 - } 1667 1667 - }, 1668 1668 - "20260308": { 1669 1669 - "claude-sonnet-4-5": { 1670 1670 - "cached_tokens": 1000, 1671 1671 - "input_tokens": 4200, 1672 1672 - "output_tokens": 1500, 1673 1673 - "reasoning_tokens": 200, 1674 1674 - "total_tokens": 5700 1675 1675 - }, 1676 1676 - "gemini-2.5-flash": { 1677 1677 - "cached_tokens": 500, 1678 1678 - "input_tokens": 2500, 1679 1679 - "output_tokens": 800, 1680 1680 - "reasoning_tokens": 0, 1681 1681 - "total_tokens": 3300 1682 1682 - } 1683 1683 - }, 1684 1684 - "20260309": { 1685 1685 - "claude-sonnet-4-5": { 1686 1686 - "cached_tokens": 1000, 1687 1687 - "input_tokens": 4200, 1688 1688 - "output_tokens": 1500, 1689 1689 - "reasoning_tokens": 200, 1690 1690 - "total_tokens": 5700 1691 1691 - }, 1692 1692 - "gemini-2.5-flash": { 1693 1693 - "cached_tokens": 500, 1694 1694 - "input_tokens": 2500, 1695 1695 - "output_tokens": 800, 1696 1696 - "reasoning_tokens": 0, 1697 1697 - "total_tokens": 3300 1698 1698 - } 1699 1699 - }, 1700 1700 - "20260310": { 1701 1701 - "claude-sonnet-4-5": { 1702 1702 - "cached_tokens": 1000, 1703 1703 - "input_tokens": 4200, 1704 1704 - "output_tokens": 1500, 1705 1705 - "reasoning_tokens": 200, 1706 1706 - "total_tokens": 5700 1707 1707 - }, 1708 1708 - "gemini-2.5-flash": { 1709 1709 - "cached_tokens": 500, 1710 1710 - "input_tokens": 2500, 1711 1711 - "output_tokens": 800, 1712 1712 - "reasoning_tokens": 0, 1713 1713 - "total_tokens": 3300 1714 1714 - } 1715 1715 - }, 1716 1716 - "20260311": { 1717 1717 - "claude-sonnet-4-5": { 1718 1718 - "cached_tokens": 1000, 1719 1719 - "input_tokens": 4200, 1720 1720 - "output_tokens": 1500, 1721 1721 - "reasoning_tokens": 200, 1722 1722 - "total_tokens": 5700 1723 1723 - }, 1724 1724 - "gemini-2.5-flash": { 1725 1725 - "cached_tokens": 500, 1726 1726 - "input_tokens": 2500, 1727 1727 - "output_tokens": 800, 1728 1728 - "reasoning_tokens": 0, 1729 1729 - "total_tokens": 3300 1730 1730 - } 1731 1731 - } 1732 1732 - }, 1733 1733 - "total_percept_duration": 0.0, 1734 1734 - "total_transcript_duration": 2212.0, 1735 1735 - "totals": { 1736 1736 - "audio_duration": 1243.0, 1737 1737 - "audio_segments": 86, 1738 1738 - "audio_sessions": 19, 1739 1739 - "day_bytes": 528304, 1740 1740 - "outputs_pending": 388, 1741 1741 - "outputs_processed": 14, 1742 1742 - "pending_segments": 0, 1743 1743 - "percept_frames": 0, 1744 1744 - "percept_sessions": 4, 1745 1745 - "screen_duration": 23.1, 1746 1746 - "screen_frames": 3, 1747 1747 - "screen_sessions": 13, 1748 1748 - "transcript_segments": 86, 1749 1749 - "transcript_sessions": 12 1750 1750 - } 1751 1751 - } 470 470 + "stats": {} 1752 471 }

+6

tests/fixtures/journal/config/journal.json

reviewed

··· 60 60 }, 61 61 "env": { 62 62 "TEST_CONFIG_ENV_VAR": "from_config" 63 63 + }, 64 64 + "agent": { 65 65 + "name": "sol", 66 66 + "name_status": "default", 67 67 + "named_date": null, 68 68 + "proposal_count": 0 63 69 } 64 70 }

+7 -1

tests/test_template_substitution.py

reviewed

··· 32 32 "aliases": ["test", "tester"], 33 33 "email_addresses": ["test@example.com"], 34 34 "timezone": "America/Los_Angeles", 35 35 - } 35 35 + }, 36 36 + "agent": { 37 37 + "name": "sol", 38 38 + "name_status": "default", 39 39 + "named_date": None, 40 40 + "proposal_count": 0, 41 41 + }, 36 42 } 37 43 38 44 with open(config_dir / "journal.json", "w") as f:

+6

think/journal_default.json

reviewed

··· 25 25 "completely omit and ignore any NSFW or adult content, do not mention or note it", 26 26 "use *** instead of any visible credit card numbers, bank account numbers, and government ID numbers" 27 27 ] 28 28 + }, 29 29 + "agent": { 30 30 + "name": "sol", 31 31 + "name_status": "default", 32 32 + "named_date": null, 33 33 + "proposal_count": 0 28 34 } 29 35 }

+5

think/prompts.py

reviewed

··· 264 264 # Add $now template variable (current datetime) 265 265 template_vars["now"] = format_current_datetime() 266 266 267 267 + # Add $agent_name template variable from agent config 268 268 + agent_name = config.get("agent", {}).get("name", "sol") 269 269 + template_vars["agent_name"] = agent_name 270 270 + template_vars["Agent_name"] = agent_name.capitalize() 271 271 + 267 272 # Merge caller-provided context (overrides identity vars if collision) 268 273 if context: 269 274 for key, value in context.items():