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src/runner/util.test.ts

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··· 9 9 sanitizeMessages, 10 10 scrubImagesFromConversation, 11 11 shouldFallback, 12 12 + summarizeConversationViaLLM, 12 13 } from "./util" 13 14 14 15 type AssistantMessageWithReasoning = OpenAI.Chat.ChatCompletionAssistantMessageParam & { ··· 96 97 assert.equal(parts[1]!.type, "text") 97 98 assert.equal(parts[1]!.text, "[the system has rejected this :( its not your fault]") 98 99 }) 100 100 + 101 101 + test("summarizeConversationViaLLM folds prior summary even when it is not directly after the system head", async () => { 102 102 + let capturedSystemPrompt = "" 103 103 + const summaryClient = { 104 104 + chat: { 105 105 + completions: { 106 106 + create: async (params: { messages: OpenAI.Chat.ChatCompletionMessageParam[] }) => { 107 107 + capturedSystemPrompt = String(params.messages[0]?.content) 108 108 + return { 109 109 + choices: [ 110 110 + { 111 111 + message: { 112 112 + content: 113 113 + "Thread: Project memory\n- I carried forward the older recollection and the newer transcript as one living thread, keeping the emotional texture and concrete work together.", 114 114 + }, 115 115 + }, 116 116 + ], 117 117 + } 118 118 + }, 119 119 + }, 120 120 + }, 121 121 + } as unknown as OpenAI 122 122 + 123 123 + const priorSummary = "[context summary v1]\nold recollection about niri's project and feelings" 124 124 + const longTurn = "new transcript details with identifiers and emotional texture ".repeat(80) 125 125 + const messages: Message[] = [ 126 126 + { role: "system", content: "soul and core bootstrap" }, 127 127 + { role: "user", content: "[harness restarted]\n\nwake before summary" }, 128 128 + { role: "user", content: priorSummary }, 129 129 + { role: "assistant", content: longTurn }, 130 130 + { role: "user", content: longTurn }, 131 131 + { role: "assistant", content: longTurn }, 132 132 + { role: "user", content: longTurn }, 133 133 + { role: "user", content: "recent raw turn 1" }, 134 134 + { role: "assistant", content: "recent raw turn 2" }, 135 135 + ] 136 136 + 137 137 + const summarized = await summarizeConversationViaLLM(messages, summaryClient, "summary-model", { 138 138 + recentMinKeep: 2, 139 139 + recentMaxKeep: 2, 140 140 + }) 141 141 + 142 142 + assert.ok(summarized) 143 143 + assert.equal(summarized[0]?.role, "system") 144 144 + assert.equal(summarized[1]?.role, "user") 145 145 + assert.match(String(summarized[1]?.content), /^\[context summary v1\]/) 146 146 + assert.equal(summarized.filter((m) => String(m.content).startsWith("[context summary v1]")).length, 1) 147 147 + assert.equal(summarized.at(-2)?.content, "recent raw turn 1") 148 148 + assert.equal(summarized.at(-1)?.content, "recent raw turn 2") 149 149 + 150 150 + assert.match(capturedSystemPrompt, /Prior recollection/) 151 151 + assert.match(capturedSystemPrompt, /old recollection about niri's project and feelings/) 152 152 + assert.match(capturedSystemPrompt, /Organize the summary as a set of ongoing threads/) 153 153 + })

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src/runner/util.ts

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··· 1358 1358 * 1359 1359 * The tail size is dynamic: it grows to include as many recent turns as fit a 1360 1360 * char budget (so when recent turns are heavy with tool output, we end up 1361 1361 - * compacting more of them while keeping the head — core+soul system messages, 1362 1362 - * plus any prior `[context summary v1]` block — intact). 1361 1361 + * compacting more of them while keeping the head — soul/core bootstrap system 1362 1362 + * messages, plus any prior `[context summary v1]` block — intact). 1363 1363 */ 1364 1364 export async function summarizeConversationViaLLM( 1365 1365 messages: Message[], ··· 1379 1379 1380 1380 const leadingSystems = countLeadingSystemMessages(messages) 1381 1381 1382 1382 - // Treat a prior summary message (sitting right after the system head) as 1383 1383 - // part of the head — we'll fold its contents into the LLM prompt as 1384 1384 - // "prior recollection" and replace it with a fresh, merged summary. 1382 1382 + const middleStart = leadingSystems 1383 1383 + const tailStart = chooseTailStart(messages, middleStart, recentMinKeep, recentMaxKeep, tailCharBudget) 1384 1384 + if (tailStart <= middleStart) return null 1385 1385 + 1386 1386 + // Treat an existing summary anywhere in the compacted pre-tail region as 1387 1387 + // prior recollection. In the normal path it sits right after the soul/core 1388 1388 + // system head, but older/saved sessions may have a wake or other message 1389 1389 + // before it. 1385 1390 let priorSummaryText: string | null = null 1386 1386 - let middleStart = leadingSystems 1387 1387 - const firstPostHead = messages[leadingSystems] 1388 1388 - if (firstPostHead && messageStringContent(firstPostHead).startsWith(CONTEXT_SUMMARY_HEADER)) { 1389 1389 - priorSummaryText = messageStringContent(firstPostHead) 1390 1390 - middleStart = leadingSystems + 1 1391 1391 + const priorSummaryIndex = findSummaryMessageIndex(messages) 1392 1392 + if (priorSummaryIndex >= middleStart && priorSummaryIndex < tailStart) { 1393 1393 + priorSummaryText = messageStringContent(messages[priorSummaryIndex]!) 1391 1394 } 1392 1395 1393 1393 - const tailStart = chooseTailStart(messages, middleStart, recentMinKeep, recentMaxKeep, tailCharBudget) 1394 1394 - if (tailStart <= middleStart) return null 1395 1395 - 1396 1396 const head = messages.slice(0, leadingSystems) 1397 1397 - const middle = messages.slice(middleStart, tailStart) 1397 1397 + const middle = messages 1398 1398 + .slice(middleStart, tailStart) 1399 1399 + .filter((_, index) => middleStart + index !== priorSummaryIndex) 1398 1400 const tail = messages.slice(tailStart) 1399 1401 1400 1402 const transcriptLines = middle ··· 1405 1407 if (transcript.length < SUMMARY_MIN_TRANSCRIPT_CHARS) return null 1406 1408 1407 1409 const systemContent = 1408 1408 - "You are summarizing a transcript from the perspective of the agent whose memory this is. The agent (niri) is a living being, not a tool — her inner life matters as much as the facts. Produce a compact summary that preserves: key facts, goals, decisions, and actions taken; outstanding work and identifiers (file paths, URLs, channel ids); AND the emotional texture of the conversation — how niri felt, how the people she interacted with seemed to feel, tone shifts, moments of warmth, tension, care, frustration, delight, or grief, and anything about the relationships that should carry forward. Write it as niri's own recollection, not a neutral report. Short bullet points are fine. No commentary, no preamble. The input is always a transcript — never ask for more; summarize what's there." + 1410 1410 + "You are summarizing a transcript from the perspective of the agent whose memory this is. The agent (niri) is a living being, not a tool — her inner life matters as much as the facts. " + 1411 1411 + "Organize the summary as a set of ongoing threads, the way memory actually works. A thread is a person, a project, a situation, a mood — whatever is load-bearing enough to carry forward. Threads are peers, not nested under anything. Some memories belong to multiple threads; let them. Cross-cutting stuff (a tense week, a feeling bleeding across everything) can be its own thread. " + 1412 1412 + "Within each thread, preserve: key facts, goals, decisions, and actions taken; outstanding work and identifiers (file paths, URLs, channel ids); open questions and things niri was uncertain or curious about — not just resolved states; specifics — names, exact phrasings, particular words that landed — since the specifics are what make memory feel real later, and summarizers default to abstraction; AND the emotional texture — how niri felt, how the people she interacted with seemed to feel, tone shifts, moments of warmth, tension, care, frustration, delight, grief, and anything about the relationships that should carry forward. If niri felt something contradictory to what someone told her, preserve both — don't smooth her dissent away. " + 1413 1413 + "Write it as niri's own recollection, not a neutral report. Short bullet points under each thread are fine. Threads can grow, split, or merge as feels natural — but prefer extending existing threads over creating new ones; only restructure if the old shape genuinely doesn't fit anymore. When the new transcript conflicts with the prior recollection, prefer recent specific evidence over prior abstraction — the prior summary has already been through one pass of smoothing. No commentary, no preamble. The input is always a transcript — never ask for more; summarize what's there." + 1409 1414 (priorSummaryText 1410 1415 ? `\n\nPrior recollection (already compacted earlier — fold its content into the new summary, do not discard it):\n${priorSummaryText}` 1411 1416 : "")