Function extractFacetsFromAPI

src/commands/insights.ts:1007–1061

(
  log: LogOption,
  sessionId: string,
)

}

async function extractFacetsFromAPI(
  log: LogOption,
  sessionId: string,
): Promise<SessionFacets | null> {
  try {
    // Use summarization for long transcripts
    const transcript = await formatTranscriptWithSummarization(log)

    // Build prompt asking for JSON directly (no tool use)
    const jsonPrompt = `${FACET_EXTRACTION_PROMPT}${transcript}

RESPOND WITH ONLY A VALID JSON OBJECT matching this schema:
{
  "underlying_goal": "What the user fundamentally wanted to achieve",
  "goal_categories": {"category_name": count, ...},
  "outcome": "fully_achieved|mostly_achieved|partially_achieved|not_achieved|unclear_from_transcript",
  "user_satisfaction_counts": {"level": count, ...},
  "claude_helpfulness": "unhelpful|slightly_helpful|moderately_helpful|very_helpful|essential",
  "session_type": "single_task|multi_task|iterative_refinement|exploration|quick_question",
  "friction_counts": {"friction_type": count, ...},
  "friction_detail": "One sentence describing friction or empty",
  "primary_success": "none|fast_accurate_search|correct_code_edits|good_explanations|proactive_help|multi_file_changes|good_debugging",
  "brief_summary": "One sentence: what user wanted and whether they got it"
}`

    const result = await queryWithModel({
      systemPrompt: asSystemPrompt([]),
      userPrompt: jsonPrompt,
      signal: new AbortController().signal,
      options: {
        model: getAnalysisModel(),
        querySource: 'insights',
        agents: [],
        isNonInteractiveSession: true,
        hasAppendSystemPrompt: false,
        mcpTools: [],
        maxOutputTokensOverride: 4096,
      },
    })

    const text = extractTextContent(result.message.content)

    // Parse JSON from response
    const jsonMatch = text.match(/\{[\s\S]*\}/)
    if (!jsonMatch) return null

    const parsed: unknown = jsonParse(jsonMatch[0])
    if (!isValidSessionFacets(parsed)) return null
    const facets: SessionFacets = { ...parsed, session_id: sessionId }
    return facets
  } catch (err) {
    logError(new Error(`Facet extraction failed: ${toError(err).message}`))
    return null
  }
}

/**
 * Detects multi-sessioning (using multiple NCode sessions concurrently).