daemon.cjs · part 235

60 text occurrences from desktop/Cursor.app/Contents/Resources/app/extensions/cursor-agent-host/dist/agent-host-daemon/dist/bin/daemon.cjs, part 235. Every entry preserves the shipped literal and its saved verdict or selection reason.

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Cache write tokens during self-summarization

Time taken for self-summarization in milliseconds

Count of self-summary attempts and their outcomes

Per-try self-summary attempts within the retry loop

Per-try successful self-summary attempts

Per-try failed self-summary attempts

Total retries (attempts beyond the first) that actually executed

Count of unexpected tool calls detected in self-summary response

Self-summary requires at least 3 messages, got ${messages.length}

Expected system message in conversation

Expected system message in conversation

${prependDurableBlocks("self-summary", durableBlocks)}

Your conversation was summarized due to context constraints. Here is the summary of the conversation so far:

<summary_content>
${rawSummary.text}
</summary_content>${appendDurableBlocks("self-summary", durableBlocks)}

Total summaries generated so far for this user query: ${totalSummariesAfter}

If the task is complete, respond to the user. Otherwise, continue working on the task.

Expected system message in conversation

[self-summary] SelfSummarizer.summarize starting

[self-summary] SelfSummarizer.summarize completed

use strict

Object expected.

Symbol.asyncDispose is not defined.

Symbol.dispose is not defined.

Object not disposable.

An error was suppressed during disposal.

Input tokens consumed during Anthropic compaction

Output tokens generated during Anthropic compaction

Cache read tokens during Anthropic compaction

Cache write tokens during Anthropic compaction

Time taken for Anthropic compaction in milliseconds

Count of Anthropic compaction attempts and their outcomes

Expected system message in conversation

[anthropic-compaction] generating summary via explicit user prompt

${prependDurableBlocks("anthropic-compaction", durableBlocks)}

<summary>
${rawSummary.text}
</summary>${appendDurableBlocks("anthropic-compaction", durableBlocks)}

Expected system message in conversation

[anthropic-compaction] summarize starting

[anthropic-compaction] summarize completed

use strict

Object expected.

Symbol.asyncDispose is not defined.

Symbol.dispose is not defined.

Object not disposable.

An error was suppressed during disposal.

Input tokens consumed during OpenAI compaction

Output tokens generated during OpenAI compaction

Cache read tokens during OpenAI compaction

Cache write tokens during OpenAI compaction

Time taken for OpenAI compaction in milliseconds

Count of OpenAI compaction attempts and their outcomes

You are performing a CONTEXT CHECKPOINT COMPACTION. Create a handoff summary for another LLM that will resume the task.

Include:
- Current progress and key decisions made
- Important context, constraints, or user preferences
- What remains to be done (clear next steps)
- Any critical data, examples, or references needed to continue

Be concise, structured, and focused on helping the next LLM seamlessly continue the work.
Do not make any tool calls.

Another language model started to solve this problem and produced a summary of its thinking process. The workspace and transcript reflects changes made by the previous model — use your tools to inspect the current state of files, terminals, and other resources. Build on the work that has already been done and avoid duplicating work. Here is the summary produced by the other language model, use the information in this summary to assist with your own analysis:

Expected system message in conversation

[openai-compaction] generating summary via compaction prompt

${prependDurableBlocks("openai-compaction", durableBlocks)}${appendDurableBlocks("openai-compaction", durableBlocks)}

${SUMMARY_PREFIX}
${rawSummary.text}

Expected system message in conversation

[openai-compaction] summarize starting

[openai-compaction] summarize completed

use strict

use strict

use strict

Unknown element type: ${element.type}

Unknown component type: ${type2}

${curr.content}

${prefix} ${content.trim()}