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gsxdsm 231c984a27 feat(FN-1594): merge fusion/fn-1594

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Settings Reference

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This guide documents Fusion settings from packages/core/src/types.ts.

Settings Scopes

Fusion uses a two-tier settings system:

Global settings (~/.pi/fusion/settings.json): user preferences shared across projects
Project settings (.fusion/config.json): execution/runtime behavior for one project

At runtime, settings are merged. Project settings override global settings when keys overlap.

Settings API Endpoints

Endpoint	Purpose
`GET /api/settings`	Get merged settings (global + project).
`PUT /api/settings`	Update project settings only.
`GET /api/settings/global`	Get global settings only.
`PUT /api/settings/global`	Update global settings only.
`GET /api/settings/scopes`	Get separated `{ global, project }` view.

Global Settings

Defaults from DEFAULT_GLOBAL_SETTINGS; key scope from GLOBAL_SETTINGS_KEYS.

Setting	Type	Default	Description
`themeMode`	`"dark" \| "light" \| "system"`	`"dark"`	Dashboard theme mode.
`colorTheme`	`string`	`"default"`	Dashboard color theme name.
`defaultProvider`	`string`	`undefined`	Default AI provider.
`defaultModelId`	`string`	`undefined`	Default AI model ID.
`fallbackProvider`	`string`	`undefined`	Fallback provider when primary model is unavailable/rate-limited.
`fallbackModelId`	`string`	`undefined`	Fallback model ID (must pair with `fallbackProvider`).
`defaultThinkingLevel`	`"off" \| "minimal" \| "low" \| "medium" \| "high"`	`undefined`	Default reasoning effort level.
`ntfyEnabled`	`boolean`	`false`	Enable ntfy push notifications.
`ntfyTopic`	`string`	`undefined`	ntfy topic name.
`ntfyEvents`	`("in-review" \| "merged" \| "failed" \| "awaiting-approval" \| "awaiting-user-review")[]`	`["in-review","merged","failed","awaiting-approval","awaiting-user-review"]`	Event types that trigger ntfy notifications.
`ntfyDashboardHost`	`string`	`undefined`	Dashboard host used for deep-link URLs in notifications.
`defaultProjectId`	`string`	`undefined`	Default project for multi-project commands.
`openrouterModelSync`	`boolean`	`true`	Sync OpenRouter model catalog into pickers.
`modelOnboardingComplete`	`boolean`	`undefined`	Whether model onboarding has been completed/dismissed.

Additional GlobalSettings fields

These exist in the GlobalSettings interface but are not listed in GLOBAL_SETTINGS_KEYS.

Setting	Type	Default	Description
`setupComplete`	`boolean`	`undefined`	Marks completion of first-run setup wizard state.
`favoriteProviders`	`string[]`	`undefined`	Pinned provider names shown first in model selectors.
`favoriteModels`	`string[]`	`undefined`	Pinned models in `{provider}/{modelId}` format.

Project Settings

Defaults from DEFAULT_PROJECT_SETTINGS; key scope from PROJECT_SETTINGS_KEYS.

Setting	Type	Default	Description
`globalPause`	`boolean`	`false`	Hard stop: terminate active engine sessions and pause scheduling.
`enginePaused`	`boolean`	`false`	Soft pause: stop dispatching new work but allow active sessions to finish.
`maxConcurrent`	`number`	`2`	Max concurrent AI tasks.
`maxWorktrees`	`number`	`4`	Max git worktrees.
`pollIntervalMs`	`number`	`15000`	Scheduler poll interval (ms).
`groupOverlappingFiles`	`boolean`	`true`	Serialize execution when file scopes overlap.
`autoMerge`	`boolean`	`true`	Auto-finalize tasks from `in-review`.
`mergeStrategy`	`"direct" \| "pull-request"`	`"direct"`	Completion mode (local direct merge or PR-first).
`worktreeInitCommand`	`string`	`undefined`	Shell command run after worktree creation.
`testCommand`	`string`	`undefined`	Test command run deterministically at merge time (before `buildCommand`). Fails the merge if the command exits non-zero.
`buildCommand`	`string`	`undefined`	Build command run deterministically at merge time (after `testCommand`). Fails the merge if the command exits non-zero.
`recycleWorktrees`	`boolean`	`false`	Reuse worktrees from a pool for faster startup.
`worktreeNaming`	`"random" \| "task-id" \| "task-title"`	`"random"`	Naming mode for fresh worktree directories.
`taskPrefix`	`string`	`"FN"`	Prefix for generated task IDs.
`includeTaskIdInCommit`	`boolean`	`true`	Include task ID in commit message scope.
`planningProvider`	`string`	`undefined`	AI provider for triage/spec generation.
`planningModelId`	`string`	`undefined`	Model ID for triage/spec generation.
`planningFallbackProvider`	`string`	`undefined`	Fallback provider for planning.
`planningFallbackModelId`	`string`	`undefined`	Fallback model ID for planning.
`validatorProvider`	`string`	`undefined`	AI provider for plan/code review.
`validatorModelId`	`string`	`undefined`	Model ID for plan/code review.
`validatorFallbackProvider`	`string`	`undefined`	Fallback provider for review.
`validatorFallbackModelId`	`string`	`undefined`	Fallback model ID for review.
`modelPresets`	`array`	`[]`	Reusable executor/validator model presets.
`autoSelectModelPreset`	`boolean`	`false`	Auto-select presets by task size.
`defaultPresetBySize`	`object`	`{}`	Mapping for `S`/`M`/`L` → preset ID.
`autoResolveConflicts`	`boolean`	`true`	Enable automatic merge conflict pattern resolution.
`smartConflictResolution`	`boolean`	`true`	Alias/preferred flag for smart merge conflict handling.
`strictScopeEnforcement`	`boolean`	`false`	Block merges on out-of-scope file changes.
`buildRetryCount`	`number`	`0`	Build retry attempts during merge.
`buildTimeoutMs`	`number`	`300000`	Build timeout in ms (5 minutes).
`requirePlanApproval`	`boolean`	`false`	Require manual approval before triage → todo.
`showQuickChatFAB`	`boolean`	`false`	Show floating quick-chat button. Chat accessible from More menu when hidden.
`taskStuckTimeoutMs`	`number`	`undefined`	Inactivity timeout for stuck-task recovery.
`autoUnpauseEnabled`	`boolean`	`true`	Auto-unpause after rate-limit-triggered pauses.
`autoUnpauseBaseDelayMs`	`number`	`300000`	Base unpause retry delay in ms (5 min).
`autoUnpauseMaxDelayMs`	`number`	`3600000`	Max unpause delay cap in ms (1 hour).
`maxStuckKills`	`number`	`6`	Max stuck-task terminations before permanent failure.
`maxSpawnedAgentsPerParent`	`number`	`5`	Max child agents per parent.
`maxSpawnedAgentsGlobal`	`number`	`20`	Max total spawned agents in an executor instance.
`maintenanceIntervalMs`	`number`	`900000`	Maintenance interval in ms (15 min).
`autoUpdatePrStatus`	`boolean`	`false`	Auto-refresh PR status badges.
`autoCreatePr`	`boolean`	`false`	Auto-create PRs for completed tasks.
`autoBackupEnabled`	`boolean`	`false`	Enable scheduled DB backups.
`autoBackupSchedule`	`string`	`"0 2 * * *"`	Backup cron schedule.
`autoBackupRetention`	`number`	`7`	Number of backups to keep.
`autoBackupDir`	`string`	`".fusion/backups"`	Relative backup directory path.
`autoSummarizeTitles`	`boolean`	`false`	Auto-generate titles for long untitled task descriptions.
`titleSummarizerProvider`	`string`	`undefined`	AI provider for title summarization.
`titleSummarizerModelId`	`string`	`undefined`	AI model ID for title summarization.
`titleSummarizerFallbackProvider`	`string`	`undefined`	Fallback provider for title summarization.
`titleSummarizerFallbackModelId`	`string`	`undefined`	Fallback model ID for title summarization.
`tokenCap`	`number`	`undefined`	Proactive token threshold for context compaction.
`insightExtractionEnabled`	`boolean`	`false`	Enable scheduled memory insight extraction.
`insightExtractionSchedule`	`string`	`"0 2 * * *"`	Insight extraction cron schedule.
`insightExtractionMinIntervalMs`	`number`	`86400000`	Minimum interval between insight extraction runs (24h).
`memoryEnabled`	`boolean`	`true`	Enable project memory integration.
`memoryBackendType`	`string`	`"file"`	Memory backend type: `file` or `readonly`.
`runStepsInNewSessions`	`boolean`	`false`	Run each task step in a fresh agent session.
`maxParallelSteps`	`number`	`2`	Max concurrent step sessions (1–4).
`agentPrompts`	`object`	`undefined`	Custom agent prompt templates + role assignments.
`promptOverrides`	`Record<string, string>`	`undefined`	Fine-grained prompt segment overrides (e.g., `{"executor-welcome": "..."}`).

Additional ProjectSettings fields

These exist in ProjectSettings but are not part of PROJECT_SETTINGS_KEYS.

Setting	Type	Default	Description
`scripts`	`Record<string, string>`	`undefined`	Named script map used by script-mode workflow steps and setup hooks.
`setupScript`	`string`	`undefined`	Named script key to run before task execution.

Model Selection Hierarchy

Triage/specification model

Per-task planningModelProvider + planningModelId
Global/project planningProvider + planningModelId
Global defaultProvider + defaultModelId
Automatic provider/model resolution

Executor model

Per-task modelProvider + modelId
Global defaultProvider + defaultModelId
Automatic provider/model resolution

Reviewer model

Per-task validatorModelProvider + validatorModelId
Global/project validatorProvider + validatorModelId
Global defaultProvider + defaultModelId
Automatic provider/model resolution

Prompt Overrides

Fusion supports fine-grained customization of AI agent prompts through the promptOverrides setting. This enables surgical customization of specific prompt segments without replacing entire role prompts (which agentPrompts does).

Supported Prompt Keys

Key	Agent Role	Description
`executor-welcome`	executor	Introductory section for the executor agent
`executor-guardrails`	executor	Behavioral guardrails and constraints
`executor-spawning`	executor	Instructions for spawning child agents
`executor-completion`	executor	Completion criteria and signaling
`triage-welcome`	triage	Introductory section for the triage/specification agent
`triage-context`	triage	Context-gathering instructions
`reviewer-verdict`	reviewer	Verdict criteria and format
`merger-conflicts`	merger	Merge conflict resolution instructions
`agent-generation-system`	—	System prompt for AI-assisted agent specification generation
`workflow-step-refine`	—	System prompt for refining workflow step descriptions into detailed agent prompts

How It Works

Override Selection: When a prompt key is present with a non-empty value, that override replaces the default prompt segment.
Fallback to Defaults: Missing or empty values fall back to the built-in default content.
Cascade: agentPrompts provides full-role template customization, while promptOverrides provides segment-level customization. Both can be used together — promptOverrides applies to the segment even within a custom role template.

Clearing Overrides

To clear a specific override, set it to null:

{
  "promptOverrides": {
    "executor-welcome": null
  }
}

To clear all overrides, set promptOverrides to null:

{
  "promptOverrides": null
}

Configuration Example

{
  "settings": {
    "promptOverrides": {
      "executor-welcome": "Custom executor welcome message for this project...",
      "executor-guardrails": "## Custom Guardrails\n- Project-specific rules...",
      "triage-welcome": "Custom triage introduction..."
    }
  }
}

JSON Examples

1) Team baseline for reliable automation

{
  "settings": {
    "maxConcurrent": 3,
    "maxWorktrees": 6,
    "mergeStrategy": "direct",
    "autoResolveConflicts": true,
    "taskStuckTimeoutMs": 600000,
    "runStepsInNewSessions": true,
    "maxParallelSteps": 2
  }
}

2) Multi-model routing for plan/execute/review

{
  "settings": {
    "defaultProvider": "anthropic",
    "defaultModelId": "claude-sonnet-4-5",
    "planningProvider": "openai",
    "planningModelId": "gpt-4.1",
    "validatorProvider": "openai",
    "validatorModelId": "gpt-4o"
  }
}

3) Size-based preset auto-selection

{
  "settings": {
    "modelPresets": [
      {
        "id": "small-fast",
        "name": "Small / Fast",
        "executorProvider": "openai",
        "executorModelId": "gpt-4o-mini"
      },
      {
        "id": "large-deep",
        "name": "Large / Deep",
        "executorProvider": "anthropic",
        "executorModelId": "claude-sonnet-4-5",
        "validatorProvider": "openai",
        "validatorModelId": "gpt-4o"
      }
    ],
    "autoSelectModelPreset": true,
    "defaultPresetBySize": {
      "S": "small-fast",
      "L": "large-deep"
    }
  }
}

See also: Workflow Steps for how scripts and workflow model overrides are used.

Background Memory Summarization & Audit

Fusion can automatically extract insights from project memory and prune transient content on a schedule. This feature is disabled by default and can be enabled via settings.

How It Works

Scheduled Extraction: When insightExtractionEnabled is true, a background automation runs on the configured insightExtractionSchedule (default: daily at 2 AM).
AI-Powered Analysis: The automation uses an AI agent to read .fusion/memory.md and .fusion/memory-insights.md, extract new insights, and produce a pruned working memory candidate.
Insight Merging: New insights are automatically merged into .fusion/memory-insights.md under the appropriate category (Patterns, Principles, Conventions, Pitfalls, Context). Duplicates are skipped.
Memory Pruning: The AI agent also produces a pruned version of working memory containing only durable items:
- Preserved: Architecture, Conventions, Pitfalls, Context sections with durable content
- Pruned: Task-specific notes, one-time observations, outdated entries
Audit Report: After each extraction run, a .fusion/memory-audit.md file is generated with:
- Working memory status (presence, size, sections)
- Insights memory status (insight counts by category)
- Last extraction results (success/failure, insight count, duplicates skipped)
- Pruning outcome (applied/skipped, size delta, reason)
- Health status (healthy/warning/issues)
- Individual audit checks

Output Files

File	Description
`.fusion/memory.md`	Working memory (updated when pruning is applied and validated)
`.fusion/memory-insights.md`	Long-term insights distilled from working memory
`.fusion/memory-audit.md`	Human-readable audit report after each extraction

Settings Interaction

Setting	Effect
`insightExtractionEnabled`	Enables/disables the automation
`insightExtractionSchedule`	Cron expression for when extraction runs (default: `"0 2 * * *"` = daily at 2 AM)
`insightExtractionMinIntervalMs`	Minimum time between extractions (default: 24 hours)

Safety Guarantees

Pruning validation: Before pruning is applied, the candidate is validated to ensure it preserves at least 2 of 3 required sections (Architecture, Conventions, Pitfalls). Invalid candidates are safely ignored.
Graceful failures: Malformed AI output does not destroy existing memory. Prior files are preserved.
Isolated processing: Post-run callback errors are logged but do not flip successful runs to failed.
Startup sync: Automation schedule is synchronized before the cron runner starts, preventing stale config races.
Non-destructive by default: If the AI produces no prune candidate or validation fails, working memory remains unchanged.

Configuration Example

{
  "settings": {
    "insightExtractionEnabled": true,
    "insightExtractionSchedule": "0 2 * * *",
    "insightExtractionMinIntervalMs": 86400000
  }
}

Cron Expression Format

Standard cron format: minute hour day-of-month month day-of-week

Expression	Meaning
`0 2 * * *`	Daily at 2:00 AM (default)
`0 /6 * *`	Every 6 hours
`0 9 * * 1`	Weekly on Monday at 9:00 AM

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Settings Reference

Settings Scopes

Settings API Endpoints

Global Settings

Additional GlobalSettings fields

Project Settings

Additional ProjectSettings fields

Model Selection Hierarchy

Triage/specification model

Executor model

Reviewer model

Prompt Overrides

Supported Prompt Keys

How It Works

Clearing Overrides

Configuration Example

JSON Examples

1) Team baseline for reliable automation

2) Multi-model routing for plan/execute/review

3) Size-based preset auto-selection

Background Memory Summarization & Audit

How It Works

Output Files

Settings Interaction

Safety Guarantees

Configuration Example

Cron Expression Format

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