solpbc.org / solstone
personal memory agent
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Add Generate and Cogitate cost rollups to tokens summary card

The tokens app header now shows per-type cost breakdowns. The backend
aggregates by the existing `type` field (generate/cogitate) during its
single-pass loop, and the frontend displays two new summary items.
Entries without a type field are silently excluded from the type totals.

Files changed:
- apps/tokens/routes.py — by_type accumulator and API response key
- apps/tokens/workspace.html — two new summary items + JS population
- tests/fixtures/journal/tokens/20250823.jsonl — additional typed entries

Jer Miller 2a0adda1 1aae1971

+46
+23
apps/tokens/routes.py
··· 79 79 } 80 80 ) 81 81 82 + by_type: Dict[str, Dict[str, Any]] = defaultdict( 83 + lambda: { 84 + "requests": 0, 85 + "tokens": 0, 86 + "cost": 0.0, 87 + } 88 + ) 89 + 82 90 # Token type totals 83 91 token_types = { 84 92 "input": {"tokens": 0, "cost": 0.0}, ··· 156 164 by_segment[segment]["tokens"] += total_entry_tokens 157 165 by_segment[segment]["cost"] += entry_cost 158 166 by_segment[segment]["models"].add(model) 167 + 168 + # Update type breakdown (generate vs cogitate) 169 + entry_type = entry.get("type") 170 + if entry_type: 171 + by_type[entry_type]["requests"] += 1 172 + by_type[entry_type]["tokens"] += total_entry_tokens 173 + by_type[entry_type]["cost"] += entry_cost 159 174 160 175 # Update token type breakdown 161 176 token_types["input"]["tokens"] += input_tokens ··· 295 310 "by_token_type": token_types, 296 311 "by_context": context_list, 297 312 "by_segment": segment_list, 313 + "by_type": { 314 + t: { 315 + "requests": d["requests"], 316 + "tokens": d["tokens"], 317 + "cost": round(d["cost"], 6), 318 + } 319 + for t, d in by_type.items() 320 + }, 298 321 } 299 322 300 323
+13
apps/tokens/workspace.html
··· 22 22 <div class="summary-label">Avg/Segment</div> 23 23 <div class="summary-value" id="segment-avg-cost">-</div> 24 24 </div> 25 + <div class="summary-item"> 26 + <div class="summary-label">Generate</div> 27 + <div class="summary-value" id="generate-cost">$0.00</div> 28 + </div> 29 + <div class="summary-item"> 30 + <div class="summary-label">Cogitate</div> 31 + <div class="summary-value" id="cogitate-cost">$0.00</div> 32 + </div> 25 33 </div> 26 34 27 35 <!-- By Provider --> ··· 394 402 } else { 395 403 segmentAvgEl.textContent = '-'; 396 404 } 405 + 406 + // Update type breakdown costs 407 + const byType = data.by_type || {}; 408 + document.getElementById('generate-cost').textContent = formatCost((byType.generate || {}).cost || 0); 409 + document.getElementById('cogitate-cost').textContent = formatCost((byType.cogitate || {}).cost || 0); 397 410 398 411 // Render provider table 399 412 renderProviderTable(data.by_provider);
+10
tests/fixtures/journal/tokens/20250823.jsonl
··· 239 239 {"timestamp": 1755994639.0864036, "model": "gemini-2.5-flash", "context": "tests.test_gemini_generate.test_gemini_generate_with_client_reuse:186", "usage": {"input_tokens": 0, "output_tokens": 0, "cached_tokens": 0, "reasoning_tokens": 0, "total_tokens": 0}} 240 240 {"timestamp": 1755994639.090262, "model": "gemini-2.5-flash", "context": "tests.test_gemini_generate.test_gemini_generate_with_multimodal_parts:214", "usage": {"input_tokens": 0, "output_tokens": 0, "cached_tokens": 0, "reasoning_tokens": 0, "total_tokens": 0}} 241 241 {"timestamp": 1755994639.094211, "model": "gemini-2.5-flash", "context": "tests.test_gemini_generate.test_gemini_generate_with_content_objects:246", "usage": {"input_tokens": 0, "output_tokens": 0, "cached_tokens": 0, "reasoning_tokens": 0, "total_tokens": 0}} 242 + {"timestamp": 1755983201.112, "model": "gpt-5", "context": "think.detect_created.classify_new_file", "type": "generate", "usage": {"input_tokens": 900, "output_tokens": 300, "total_tokens": 1200}} 243 + {"timestamp": 1755983215.558, "model": "gemini-2.5-flash", "context": "think.detect_transcript.detect", "type": "generate", "usage": {"input_tokens": 1400, "output_tokens": 400, "cached_tokens": 100, "reasoning_tokens": 80, "total_tokens": 1800}} 244 + {"timestamp": 1755983240.904, "model": "claude-sonnet-4-5-20250929", "context": "think.muse.generate_daily_summary", "type": "generate", "usage": {"input_tokens": 2200, "output_tokens": 900, "total_tokens": 3100}} 245 + {"timestamp": 1755983262.447, "model": "gemini-2.5-flash-lite", "context": "think.detect_transcript.detect", "type": "generate", "usage": {"input_tokens": 300, "output_tokens": 80, "total_tokens": 380}} 246 + {"timestamp": 1755983289.771, "model": "gpt-5", "context": "think.detect_created.classify_new_file", "type": "generate", "usage": {"input_tokens": 650, "output_tokens": 220, "total_tokens": 870}} 247 + {"timestamp": 1755983310.216, "model": "gemini-2.5-flash", "context": "think.detect_transcript.detect", "type": "generate", "usage": {"input_tokens": 1200, "output_tokens": 350, "cached_tokens": 250, "reasoning_tokens": 120, "total_tokens": 1550}} 248 + {"timestamp": 1755983384.638, "model": "gemini-2.5-flash", "context": "muse.system.meetings", "type": "cogitate", "usage": {"input_tokens": 7600, "output_tokens": 2400, "cached_tokens": 1500, "reasoning_tokens": 900, "total_tokens": 10000}} 249 + {"timestamp": 1755983432.185, "model": "claude-sonnet-4-5-20250929", "context": "muse.system.digest", "type": "cogitate", "usage": {"input_tokens": 9800, "output_tokens": 2800, "total_tokens": 12600}} 250 + {"timestamp": 1755983479.593, "model": "gpt-5", "context": "muse.system.entities", "type": "cogitate", "usage": {"input_tokens": 6400, "output_tokens": 2100, "reasoning_tokens": 500, "total_tokens": 8500}} 251 + {"timestamp": 1755983525.049, "model": "gemini-2.5-flash", "context": "muse.system.review", "type": "cogitate", "usage": {"input_tokens": 4300, "output_tokens": 1500, "cached_tokens": 600, "reasoning_tokens": 300, "total_tokens": 5800}} 242 252 {"timestamp": 1755983785.656, "model": "gemini-2.5-flash", "context": "muse.system.meetings", "segment": "143022_300", "type": "cogitate", "usage": {"input_tokens": 5200, "output_tokens": 1800, "total_tokens": 7000, "cached_tokens": 1000, "reasoning_tokens": 500}} 243 253 {"timestamp": 1755983800.123, "model": "claude-sonnet-4-5-20250929", "context": "muse.system.digest", "type": "cogitate", "usage": {"input_tokens": 12000, "output_tokens": 3500, "total_tokens": 15500}} 244 254 {"timestamp": 1755983850.456, "model": "gemini-2.5-flash", "context": "think.detect_transcript.detect", "type": "generate", "usage": {"input_tokens": 800, "output_tokens": 200, "total_tokens": 1000}}