* docs: add auto-memory implementation log
* feat(core): add managed auto-memory storage scaffold
* feat(core): load managed auto-memory index
* feat(core): add managed auto-memory recall
* feat(core): add managed auto-memory extraction
* feat(cli): add managed auto-memory dream commands
* feat(core): add auxiliary side-query foundation
* feat(memory): add model-driven recall selection
* feat(memory): add model-driven extraction planner
* feat(core): add background task runtime foundation
* feat(memory): schedule auto dream in background
* feat(core): add background agent runner foundation
* feat(memory): add extraction agent planner
* feat(core): add dream agent planner
* feat(core): rebuild managed memory index
* feat(memory): add governance status commands
* feat(memory): add managed forget flow
* feat(core): harden background agent planning
* feat(memory): complete managed parity closure
* test(memory): add managed lifecycle integration coverage
* feat: same to cc
* feat(memory-ui): add memory saved notification and memory count badge
Feature 3 - Memory Saved Notification:
- Add HistoryItemMemorySaved type to types.ts
- Create MemorySavedMessage component for rendering '● Saved/Updated N memories'
- In useGeminiStream: detect in-turn memory writes via mapToDisplay's
memoryWriteCount field and emit 'memory_saved' history item after turn
- In client.ts: capture background dream/extract promises and expose
via consumePendingMemoryTaskPromises(); useGeminiStream listens
post-turn and emits 'Updated N memories' notification for background tasks
Feature 4 - Memory Count Badge:
- Add isMemoryOp field to IndividualToolCallDisplay
- Add memoryWriteCount/memoryReadCount to HistoryItemToolGroup
- Add detectMemoryOp() in useReactToolScheduler using isAutoMemPath
- ToolGroupMessage renders '● Recalled N memories, Wrote N memories' badge
at the top of tool groups that touch memory files
Fix: process.env bracket-access in paths.ts (noPropertyAccessFromIndexSignature)
Fix: MemoryDialog.test.tsx mock useSettings to satisfy SettingsProvider requirement
* fix(memory-ui): auto-approve memory writes, collapse memory tool groups, fix MEMORY.md path
Problem 1 - Auto-approve memory file operations:
- write-file.ts: getDefaultPermission() checks isAutoMemPath; returns 'allow'
for managed auto-memory files, 'ask' for all other files
- edit.ts: same pattern
Problem 2 - Feature 4 UX: collapse memory-only tool groups:
- ToolGroupMessage: detect when all tool calls have isMemoryOp set (pure memory
group) and all are complete; render compact '● Recalled/Wrote N memories
(ctrl+o to expand)' instead of individual tool call rows
- ctrl+o toggles expand/collapse when isFocused and group is memory-only
- Mixed groups (memory + other tools) keep badge-at-top behaviour
- Expanded state shows individual tool calls with '● Memory operations
(ctrl+o to collapse)' header
Problem 3 - MEMORY.md path mismatch:
- prompt.ts: Step 2 now references full absolute path ${memoryDir}/MEMORY.md
so the model writes to the correct location inside the memory directory,
not to the parent project directory
Fix tests:
- write-file.test.ts: add getProjectRoot to mockConfigInternal
- prompt.test.ts: update assertion to match full-path section header
* fix(memory-ui): fix duplicate notification, broken ctrl+o, and Edit tool detection
- Remove duplicate 'Saved N memories' notification: the tool group badge already
shows 'Wrote N memories'; the separate HistoryItemMemorySaved addItem after
onComplete was double-counting. Keep only the background-task path
(consumePendingMemoryTaskPromises).
- Remove ctrl+o expand: Ink's Static area freezes items on first render and
cannot respond to user input. useInput/useState(isExpanded) in a Static item
is a no-op. Removed the dead code; memory-only groups now always render as
the compact summary (no fake interactive hint).
- Fix Edit tool detection: detectMemoryOp was checking for 'edit_file' but the
real tool name constant is 'edit'. Also removed non-existent 'create_file'
(write_file covers all writes). Now editing MEMORY.md is correctly identified
as a memory write op, collapses to 'Wrote N memories', and is auto-approved.
* fix(dream): run /dream as a visible submit_prompt turn, not a silent background agent
The previous implementation ran an AgentHeadless background agent that could
take 5+ minutes with zero UI feedback — user saw a blank screen for the entire
duration and then at most one line of text.
Fix: /dream now returns submit_prompt with the consolidation task prompt so it
runs as a regular AI conversation turn. Tool calls (read_file, write_file, edit,
grep_search, list_directory, glob) are immediately visible as collapsed tool
groups as the model works through the memory files — identical UX to Claude Code.
Also export buildConsolidationTaskPrompt from dreamAgentPlanner so dreamCommand
can reuse the same detailed consolidation prompt that was already written.
* fix(memory): auto-allow ls/glob/grep on memory base directory
Add getMemoryBaseDir() to getDefaultPermission() allow list in ls.ts,
glob.ts, and grep.ts — mirrors the existing pattern in read-file.ts.
Without this, ListFiles/Glob/Grep on ~/.qwen/* would trigger an
approval dialog, blocking /dream at its very first step.
* fix(background): prevent permission prompt hangs in background agents
Match Claude Code's headless-agent intent: background memory agents must never
block on interactive permission prompts.
Wrap background runtime config so getApprovalMode() returns YOLO, ensuring any
ask decision is auto-approved instead of hanging forever. Add regression test
covering the wrapped approval mode.
* fix(memory): run auto extract through forked agent
Make managed auto-memory extraction follow the Claude Code architecture:
background extraction now uses a forked agent to read/write memory files
directly, instead of planning patches and applying them with a separate
filesystem pipeline.
Keep the old patch/model path only as fallback if the forked agent fails.
Add regression tests covering the new execution path and tool whitelist.
* refactor(memory): remove legacy extract fallback pipeline
Delete the old patch/model/heuristic extraction path entirely.
Managed auto-memory extract now runs only through the forked-agent
execution flow, with no planner/apply fallback stages remaining.
Also remove obsolete exports/tests and update scheduler/integration
coverage to use the forked-agent-only architecture.
* refactor(memory): move auxiliary files out of memory/ directory
meta.json, extract-cursor.json, and consolidation.lock are internal
bookkeeping files, not user-visible memories. Move them one level up
to the project state dir (parent of memory/) so that the memory/
directory contains only MEMORY.md and topic files, matching the
clean layout of the upstream reference implementation.
Add getAutoMemoryProjectStateDir() helper in paths.ts and update the
three path accessors + store.test.ts path assertions accordingly.
* fix(memory): record lastDreamAt after manual /dream run
The /dream command submits a prompt to the main agent (submit_prompt),
which writes memory files directly. Because it bypasses dreamScheduler,
meta.json was never updated and /memory always showed 'never'.
Fix by:
- Exporting writeDreamManualRunToMetadata() from dream.ts
- Adding optional onComplete callback to SubmitPromptActionReturn and
SubmitPromptResult (types.ts / commands/types.ts)
- Propagating onComplete through slashCommandProcessor.ts
- Firing onComplete after turn completion in useGeminiStream.ts
- Providing the callback in dreamCommand.ts to write lastDreamAt
* fix(memory): remove scope params from /remember in managed auto-memory mode
--global/--project are legacy save_memory tool concepts. In managed
auto-memory mode the forked agent decides the appropriate type
(user/feedback/project/reference) based on the content of the fact.
Also improve the prompt wording to explicitly ask the agent to choose
the correct type, reducing the tendency to default to 'project'.
* feat(ui): show '✦ dreaming' indicator in footer during background dream
Subscribe to getManagedAutoMemoryDreamTaskRegistry() in Footer via a
useDreamRunning() hook. While any dream task for the current project is
pending or running, display '✦ dreaming' in the right section of the
footer bar, between Debug Mode and context usage.
* refactor(memory): align dream/extract infrastructure with Claude Code patterns
Five improvements based on Claude Code parity audit:
1. Memoize getAutoMemoryRoot (paths.ts)
- Add _autoMemoryRootCache Map, keyed by projectRoot
- findCanonicalGitRoot() walks the filesystem per call; memoize avoids
repeated git-tree traversal on hot-path schedulers/scanners
- Expose clearAutoMemoryRootCache() for test teardown
2. Lock file stores PID + isProcessRunning reclaim (dreamScheduler.ts)
- acquireDreamLock() writes process.pid to the lock file body
- lockExists() reads PID and calls process.kill(pid, 0); dead/missing
PID reclaims the lock immediately instead of waiting 2h
- Stale threshold reduced to 1h (PID-reuse guard, same as CC)
3. Session scan throttle (dreamScheduler.ts)
- Add SESSION_SCAN_INTERVAL_MS = 10min (same as CC)
- Add lastSessionScanAt Map<projectRoot, number> to ManagedAutoMemoryDreamRuntime
- When time-gate passes but session-gate doesn't, throttle prevents
re-scanning the filesystem on every user turn
4. mtime-based session counting (dreamScheduler.ts)
- Replace fragile recentSessionIdsSinceDream Set in meta.json with
filesystem mtime scan (listSessionsTouchedSince)
- Mirrors Claude Code's listSessionsTouchedSince: reads session JSONL
files from Storage.getProjectDir()/chats/, filters by mtime > lastDreamAt
- Immune to meta.json corruption/loss; no per-turn metadata write
- ManagedAutoMemoryDreamRuntime accepts injectable SessionScannerFn
for clean unit testing without real session files
5. Extraction mutual exclusion extended to write_file/edit (extractScheduler.ts)
- historySliceUsesMemoryTool() now checks write_file/edit/replace/create_file
tool calls whose file_path is within isAutoMemPath()
- Previously only detected save_memory; missed direct file writes by
the main agent, causing redundant background extraction
* docs(memory): add user-facing memory docs, i18n for all locales, simplify /forget
- Add docs/users/features/memory.md: comprehensive user-facing guide covering
QWEN.md instructions, auto-memory behaviour, all memory commands, and
troubleshooting; replaces the placeholder auto-memory.md
- Update docs/users/features/_meta.ts: rename entry auto-memory → memory
- Update docs/users/features/commands.md: add /init, /remember, /forget,
/dream rows; fix /memory description; remove /init duplicate
- Update docs/users/configuration/settings.md: add memory.* settings section
(enableManagedAutoMemory, enableManagedAutoDream) between tools and permissions
- Remove /forget --apply flag: preview-then-apply flow replaced with direct
deletion; update forgetCommand.ts, en.js, zh.js accordingly
- Add all auto-memory i18n keys to de, ja, pt, ru locales (18 keys each):
Open auto-memory folder, Auto-memory/Auto-dream status lines, never/on/off,
✦ dreaming, /forget and /remember usage strings, all managed-memory messages
- Remove dead save_memory branch from extractScheduler.partWritesToMemory()
- Add ✦ dreaming indicator to Footer.tsx with i18n; fix Footer.test.tsx mocks
- Refactor MemoryDialog.tsx auto-dream status line to use i18n
- Remove save_memory tool (memoryTool.ts/test); clean up webui references
- Add extractionPlanner.ts, const.ts and associated tests
- Delete stale docs/users/configuration/memory.md and
docs/developers/tools/memory.md (content superseded)
* refactor(memory): remove all Claude Code references from comments and test names
* test(memory): remove empty placeholder test files that cause vitest to fail
* fix eslint
* fix test in windows
* fix test
* fix(memory): address critical review findings from PR #3087
- fix(read-file): narrow auto-allow from getMemoryBaseDir() (~/.qwen) to
isAutoMemPath(projectRoot) to prevent exposing settings.json / OAuth
credentials without user approval (wenshao review)
- fix(forget): per-entry deletion instead of whole-file unlink
- assign stable per-entry IDs (relativePath:index for multi-entry files)
so the model can target individual entries without removing siblings
- rewrite file keeping unmatched entries; only unlink when file becomes
empty (wenshao review)
- fix(entries): round-trip correctness for multi-entry new-format bodies
- parseAutoMemoryEntries: plain-text line closes current entry and opens
a new one (was silently ignored when current was already set)
- renderAutoMemoryBody: emit blank line between adjacent entries so the
parser can detect entry boundaries on re-read (wenshao review)
- fix(entries): resolve two CodeQL polynomial-regex alerts
- indentedMatch: \s{2,}(?:[-*]\s+)? → [\t ]{2,}(?:[-*][\t ]+)?
- topLevelMatch: :\s*(.+)$ → :[ \t]*(\S.*)$
(github-advanced-security review)
- fix(scan.test): use forward-slash literal for relativePath expectation
since listMarkdownFiles() normalises all separators to '/' on all
platforms including Windows
* fix(memory): replace isAutoMemPath startsWith with path.relative()
Using path.relative() instead of string startsWith() is more robust
across platforms — it correctly handles Windows path-separator
differences and avoids potential edge cases where a path prefix match
could succeed on non-separator boundaries.
Addresses github-actions review item 3 (PR #3087).
* feat(telemetry): add auto-memory telemetry instrumentation
Add OpenTelemetry logs + metrics for the five auto-memory lifecycle
events: extract, dream, recall, forget, and remember.
Telemetry layer (packages/core/src/telemetry/):
- constants.ts: 5 new event-name constants
(qwen-code.memory.{extract,dream,recall,forget,remember})
- types.ts: 5 new event classes with typed constructor params
(MemoryExtractEvent, MemoryDreamEvent, MemoryRecallEvent,
MemoryForgetEvent, MemoryRememberEvent)
- metrics.ts: 8 new OTel instruments (5 Counters + 3 Histograms)
with recordMemoryXxx() helpers; registered inside initializeMetrics()
- loggers.ts: logMemoryExtract/Dream/Recall/Forget/Remember() — each
emits a structured log record and calls its recordXxx() counterpart
- index.ts: re-exports all new symbols
Instrumentation call-sites:
- extractScheduler.ts ManagedAutoMemoryExtractRuntime.runTask():
emits extract event with trigger=auto, completed/failed status,
patches_count, touched_topics, and wall-clock duration
- dream.ts runManagedAutoMemoryDream():
emits dream event with trigger=auto, updated/noop status,
deduped_entries, touched_topics, and duration; covers both
agent-planner and mechanical fallback paths
- recall.ts resolveRelevantAutoMemoryPromptForQuery():
emits recall event with strategy, docs_scanned/selected, and
duration; covers model, heuristic, and none paths
- forget.ts forgetManagedAutoMemoryEntries():
emits forget event with removed_entries_count, touched_topics,
and selection_strategy (model/heuristic/none)
- rememberCommand.ts action():
emits remember event with topic=managed|legacy at command
invocation time (before agent decides the actual memory type)
* refactor(telemetry): remove memory forget/remember telemetry events
Remove EVENT_MEMORY_FORGET and EVENT_MEMORY_REMEMBER along with all
associated infrastructure that is no longer needed:
- constants.ts: remove EVENT_MEMORY_FORGET, EVENT_MEMORY_REMEMBER
- types.ts: remove MemoryForgetEvent, MemoryRememberEvent classes
- metrics.ts: remove MEMORY_FORGET_COUNT, MEMORY_REMEMBER_COUNT constants,
memoryForgetCounter, memoryRememberCounter module vars,
their initialization in initializeMetrics(), and
recordMemoryForgetMetrics(), recordMemoryRememberMetrics() functions
- loggers.ts: remove logMemoryForget(), logMemoryRemember() functions
and their imports
- index.ts: remove all re-exports for the above symbols
- memory/forget.ts: remove logMemoryForget call-site and import
- cli/rememberCommand.ts: remove logMemoryRemember call-sites and import
* change default value
* fix forked agent
* refactor(background): unify fork primitives into runForkedAgent + cleanup
- Merge runForkedQuery into runForkedAgent via TypeScript overloads:
with cacheSafeParams → GeminiChat single-turn path (ForkedQueryResult)
without cacheSafeParams → AgentHeadless multi-turn path (ForkedAgentResult)
- Delete forkedQuery.ts; move its test to background/forkedAgent.cache.test.ts
- Remove forkedQuery export from followup/index.ts
- Migrate all callers (suggestionGenerator, speculation, btwCommand, client)
to import from background/forkedAgent
- Add getFastModel() / setFastModel() to Config; expose in CLI config init
and ModelDialog / modelCommand
- Remove resolveFastModel() from AppContainer — now delegated to config.getFastModel()
- Strip Claude Code references from code comments
* fix(memory): address wenshao's critical review findings
- dream.ts: writeDreamManualRunToMetadata now persists lastDreamSessionId
and resets recentSessionIdsSinceDream, preventing auto-dream from firing
again in the same session after a manual /dream
- config.ts: gate managed auto-memory injection on getManagedAutoMemoryEnabled();
when disabled, previously saved memories are no longer injected into new sessions
- rememberCommand.ts: remove legacy save_memory branch (tool was removed);
fall back to submit_prompt directing agent to write to QWEN.md instead
- BuiltinCommandLoader.ts: only register /dream and /forget when managed
auto-memory is enabled, matching the feature's runtime availability
- forget.ts: return early in forgetManagedAutoMemoryMatches when matches is
empty, avoiding unnecessary directory scaffolding as a side effect
* fix test
* fix ci test
* feat(memory): align extract/dream agents to Claude Code patterns
- fix(client): move saveCacheSafeParams before early-return paths so
extract agents always have cache params available (fixes extract never
triggering in skipNextSpeakerCheck mode)
- feat(extract): add read-only shell tool + memory-scoped write
permissions; create inline createMemoryScopedAgentConfig() with
PermissionManager wrapper (isToolEnabled + evaluate) that allows only
read-only shell commands and write/edit within the auto-memory dir
- feat(extract): align prompt to Claude Code patterns — manifest block
listing existing files, parallel read-then-write strategy, two-step
save (memory file then index)
- feat(dream): remove mechanical fallback; runManagedAutoMemoryDream is
now agent-only and throws without config
- feat(dream): align prompt to Claude Code 4-phase structure
(Orient/Gather/Consolidate/Prune+Index); add narrow transcript grep,
relative→absolute date conversion, stale index pruning, index size cap
- fix(permissions): add isToolEnabled() to MemoryScopedPermissionManager
to prevent TypeError crash in CoreToolScheduler._schedule
- test: update dreamScheduler tests to mock dream.js; replace removed
mechanical-dedup test with scheduler infrastructure verification
* move doc to design
* refactor(memory): unify extract+dream background task management into MemoryBackgroundTaskHub
- Add memoryTaskHub.ts: single BackgroundTaskRegistry + BackgroundTaskDrainer shared
by all memory background tasks; exposes listExtractTasks() / listDreamTasks()
typed query helpers and a unified drain() method
- extractScheduler: ManagedAutoMemoryExtractRuntime accepts hub via constructor
(defaults to defaultMemoryTaskHub); test factory gets isolated fresh hub
- dreamScheduler: same pattern — sessionScanner + hub injection; BackgroundTask-
Scheduler initialized from injected hub; test factory gets isolated hub
- status.ts: replace two separate getRegistry() calls with defaultMemoryTaskHub
typed query methods
- Footer.tsx (useDreamRunning): subscribe to shared registry, filter by
DREAM_TASK_TYPE so extract tasks do not trigger the dream spinner
- index.ts: re-export memoryTaskHub.ts so defaultMemoryTaskHub/DREAM_TASK_TYPE/
EXTRACT_TASK_TYPE are available as top-level package exports
* refactor(background): introduce general-purpose BackgroundTaskHub
Replace memory-specific MemoryBackgroundTaskHub with a domain-agnostic
BackgroundTaskHub in the background/ layer. Any future background task
runtime (3rd, 4th, …) plugs in by accepting a hub via constructor
injection — no new infrastructure required.
Changes:
- Add background/taskHub.ts: BackgroundTaskHub (registry + drainer +
createScheduler() + listByType(taskType, projectRoot?)) and the
globalBackgroundTaskHub singleton. Zero knowledge of any task type.
- Delete memory/memoryTaskHub.ts: its narrow listExtractTasks /
listDreamTasks helpers are replaced by the generic listByType() call.
- Move EXTRACT_TASK_TYPE to extractScheduler.ts (owned by the runtime
that defines it); replace 3 hardcoded string literals with the const.
- Move DREAM_TASK_TYPE to dreamScheduler.ts; use hub.createScheduler()
instead of manually wiring new BackgroundTaskScheduler(reg, drain).
- status.ts: globalBackgroundTaskHub.listByType(EXTRACT_TASK_TYPE, ...)
- Footer.tsx: globalBackgroundTaskHub.registry (shared, filtered by type)
- index.ts: export background/taskHub.js; drop memory/memoryTaskHub.js
* test(background): add BackgroundTaskHub unit tests and hub isolation checks
- background/taskHub.test.ts (11 tests):
- createScheduler(): tasks registered via scheduler appear in hub registry;
multiple calls return distinct scheduler instances
- listByType(): filters by taskType, filters by projectRoot, returns []
for unknown types, two types co-exist in registry but stay separated
- drain(): resolves false on timeout, resolves true when tasks complete,
resolves true immediately when no tasks in flight
- isolation: tasks in hubA do not appear in hubB
- globalBackgroundTaskHub: is a BackgroundTaskHub instance with registry/drainer
- extractScheduler.test.ts (+1 test):
- factory-created runtimes have isolated registries; tasks in runtimeA
are invisible to runtimeB; all tasks carry EXTRACT_TASK_TYPE
- dreamScheduler.test.ts (+1 test):
- factory-created runtimes have isolated registries; tasks in runtimeA
are invisible to runtimeB; all tasks carry DREAM_TASK_TYPE
* refactor(memory): consolidate all memory state into MemoryManager
Replace BackgroundTaskRegistry/Drainer/Scheduler/Hub helper classes and
module-level globals with a single MemoryManager class owned by Config.
## Changes
### New
- packages/core/src/memory/manager.ts — MemoryManager with:
- scheduleExtract / scheduleDream (inline queuing + deduplication logic)
- recall / forget / selectForgetCandidates / forgetMatches
- getStatus / drain / appendToUserMemory
- subscribe(listener) compatible with useSyncExternalStore
- storeWith() atomic record registration (no double-notify)
- Distinct skippedReason 'scan_throttled' vs 'min_sessions' for dream
- packages/core/src/utils/forkedAgent.ts — pure cache util (moved from background/)
- packages/core/src/utils/sideQuery.ts — pure util (moved from auxiliary/)
### Deleted
- background/taskRegistry, taskDrainer, taskScheduler, taskHub and all tests
- background/forkedAgent (moved to utils/)
- auxiliary/sideQuery (moved to utils/)
- memory/extractScheduler, dreamScheduler, state and all tests
### Modified
- config/config.ts — Config owns MemoryManager instance; getMemoryManager()
- core/client.ts — all memory ops via config.getMemoryManager()
- core/client.test.ts — mock MemoryManager instead of individual modules
- memory/status.ts — accepts MemoryManager param, drops globalBackgroundTaskHub
- index.ts — memory exports reduced from 14 modules to 5 (manager/types/paths/store/const)
- cli/commands/dreamCommand.ts — via config.getMemoryManager()
- cli/commands/forgetCommand.ts — via config.getMemoryManager()
- cli/components/Footer.tsx — useSyncExternalStore replacing setInterval polling
- cli/components/Footer.test.tsx — add getMemoryManager mock
128 KiB
Qwen Code Configuration
Tip
Authentication / API keys: Authentication (Qwen OAuth, Alibaba Cloud Coding Plan, or API Key) and auth-related environment variables (like
OPENAI_API_KEY) are documented in Authentication.
Note
Note on New Configuration Format: The format of the
settings.jsonfile has been updated to a new, more organized structure. The old format will be migrated automatically. Qwen Code offers several ways to configure its behavior, including environment variables, command-line arguments, and settings files. This document outlines the different configuration methods and available settings.
Configuration layers
Configuration is applied in the following order of precedence (lower numbers are overridden by higher numbers):
| Level | Configuration Source | Description |
|---|---|---|
| 1 | Default values | Hardcoded defaults within the application |
| 2 | System defaults file | System-wide default settings that can be overridden by other settings files |
| 3 | User settings file | Global settings for the current user |
| 4 | Project settings file | Project-specific settings |
| 5 | System settings file | System-wide settings that override all other settings files |
| 6 | Environment variables | System-wide or session-specific variables, potentially loaded from .env files |
| 7 | Command-line arguments | Values passed when launching the CLI |
Settings files
Qwen Code uses JSON settings files for persistent configuration. There are four locations for these files:
| File Type | Location | Scope |
|---|---|---|
| System defaults file | Linux: /etc/qwen-code/system-defaults.jsonWindows: C:\ProgramData\qwen-code\system-defaults.jsonmacOS: /Library/Application Support/QwenCode/system-defaults.json The path can be overridden using the QWEN_CODE_SYSTEM_DEFAULTS_PATH environment variable. |
Provides a base layer of system-wide default settings. These settings have the lowest precedence and are intended to be overridden by user, project, or system override settings. |
| User settings file | ~/.qwen/settings.json (where ~ is your home directory). |
Applies to all Qwen Code sessions for the current user. |
| Project settings file | .qwen/settings.json within your project's root directory. |
Applies only when running Qwen Code from that specific project. Project settings override user settings. |
| System settings file | Linux: /etc/qwen-code/settings.json Windows: C:\ProgramData\qwen-code\settings.json macOS: /Library/Application Support/QwenCode/settings.jsonThe path can be overridden using the QWEN_CODE_SYSTEM_SETTINGS_PATH environment variable. |
Applies to all Qwen Code sessions on the system, for all users. System settings override user and project settings. May be useful for system administrators at enterprises to have controls over users' Qwen Code setups. |
Note
Note on environment variables in settings: String values within your
settings.jsonfiles can reference environment variables using either$VAR_NAMEor${VAR_NAME}syntax. These variables will be automatically resolved when the settings are loaded. For example, if you have an environment variableMY_API_TOKEN, you could use it insettings.jsonlike this:"apiKey": "$MY_API_TOKEN".
The .qwen directory in your project
In addition to a project settings file, a project's .qwen directory can contain other project-specific files related to Qwen Code's operation, such as:
- Custom sandbox profiles (e.g.
.qwen/sandbox-macos-custom.sb,.qwen/sandbox.Dockerfile). - Agent Skills under
.qwen/skills/(each Skill is a directory containing aSKILL.md).
Configuration migration
Qwen Code automatically migrates legacy configuration settings to the new format. Old settings files are backed up before migration. The following settings have been renamed from negative (disable*) to positive (enable*) naming:
| Old Setting | New Setting | Notes |
|---|---|---|
disableAutoUpdate + disableUpdateNag |
general.enableAutoUpdate |
Consolidated into a single setting |
disableLoadingPhrases |
ui.accessibility.enableLoadingPhrases |
|
disableFuzzySearch |
context.fileFiltering.enableFuzzySearch |
|
disableCacheControl |
model.generationConfig.enableCacheControl |
Note
Boolean value inversion: When migrating, boolean values are inverted (e.g.,
disableAutoUpdate: truebecomesenableAutoUpdate: false).
Consolidation policy for disableAutoUpdate and disableUpdateNag
When both legacy settings are present with different values, the migration follows this policy: if either disableAutoUpdate or disableUpdateNag is true, then enableAutoUpdate becomes false:
disableAutoUpdate |
disableUpdateNag |
Migrated enableAutoUpdate |
|---|---|---|
false |
false |
true |
false |
true |
false |
true |
false |
false |
true |
true |
false |
Available settings in settings.json
Settings are organized into categories. All settings should be placed within their corresponding top-level category object in your settings.json file.
general
| Setting | Type | Description | Default |
|---|---|---|---|
general.preferredEditor |
string | The preferred editor to open files in. | undefined |
general.vimMode |
boolean | Enable Vim keybindings. | false |
general.enableAutoUpdate |
boolean | Enable automatic update checks and installations on startup. | true |
general.gitCoAuthor |
boolean | Automatically add a Co-authored-by trailer to git commit messages when commits are made through Qwen Code. | true |
general.checkpointing.enabled |
boolean | Enable session checkpointing for recovery. | false |
general.defaultFileEncoding |
string | Default encoding for new files. Use "utf-8" (default) for UTF-8 without BOM, or "utf-8-bom" for UTF-8 with BOM. Only change this if your project specifically requires BOM. |
"utf-8" |
output
| Setting | Type | Description | Default | Possible Values |
|---|---|---|---|---|
output.format |
string | The format of the CLI output. | "text" |
"text", "json" |
ui
| Setting | Type | Description | Default |
|---|---|---|---|
ui.theme |
string | The color theme for the UI. See Themes for available options. | undefined |
ui.customThemes |
object | Custom theme definitions. | {} |
ui.statusLine |
object | Custom status line configuration. A shell command whose output is shown in the footer's left section. See Status Line. | undefined |
ui.hideWindowTitle |
boolean | Hide the window title bar. | false |
ui.hideTips |
boolean | Hide all tips (startup and post-response) in the UI. See Contextual Tips. | false |
ui.hideBanner |
boolean | Hide the application banner. | false |
ui.hideFooter |
boolean | Hide the footer from the UI. | false |
ui.showMemoryUsage |
boolean | Display memory usage information in the UI. | false |
ui.showLineNumbers |
boolean | Show line numbers in code blocks in the CLI output. | true |
ui.showCitations |
boolean | Show citations for generated text in the chat. | true |
ui.compactMode |
boolean | Hide tool output and thinking for a cleaner view. Toggle with Ctrl+O during a session or via the Settings dialog. Tool approval prompts are never hidden, even in compact mode. The setting persists across sessions. |
false |
enableWelcomeBack |
boolean | Show welcome back dialog when returning to a project with conversation history. When enabled, Qwen Code will automatically detect if you're returning to a project with a previously generated project summary (.qwen/PROJECT_SUMMARY.md) and show a dialog allowing you to continue your previous conversation or start fresh. If you choose Start new chat session, that choice is remembered for the current project until the project summary changes. This feature integrates with the /summary command and quit confirmation dialog. |
true |
ui.accessibility.enableLoadingPhrases |
boolean | Enable loading phrases (disable for accessibility). | true |
ui.accessibility.screenReader |
boolean | Enables screen reader mode, which adjusts the TUI for better compatibility with screen readers. | false |
ui.customWittyPhrases |
array of strings | A list of custom phrases to display during loading states. When provided, the CLI will cycle through these phrases instead of the default ones. | [] |
ui.enableFollowupSuggestions |
boolean | Enable followup suggestions that predict what you want to type next after the model responds. Suggestions appear as ghost text and can be accepted with Tab, Enter, or Right Arrow. | true |
ui.enableCacheSharing |
boolean | Use cache-aware forked queries for suggestion generation. Reduces cost on providers that support prefix caching (experimental). | true |
ui.enableSpeculation |
boolean | Speculatively execute accepted suggestions before submission. Results appear instantly when you accept (experimental). | false |
ide
| Setting | Type | Description | Default |
|---|---|---|---|
ide.enabled |
boolean | Enable IDE integration mode. | false |
ide.hasSeenNudge |
boolean | Whether the user has seen the IDE integration nudge. | false |
privacy
| Setting | Type | Description | Default |
|---|---|---|---|
privacy.usageStatisticsEnabled |
boolean | Enable collection of usage statistics. | true |
model
| Setting | Type | Description | Default |
|---|---|---|---|
model.name |
string | The Qwen model to use for conversations. | undefined |
model.maxSessionTurns |
number | Maximum number of user/model/tool turns to keep in a session. -1 means unlimited. | -1 |
model.generationConfig |
object | Advanced overrides passed to the underlying content generator. Supports request controls such as timeout, maxRetries, enableCacheControl, contextWindowSize (override model's context window size), modalities (override auto-detected input modalities), customHeaders (custom HTTP headers for API requests), and extra_body (additional body parameters for OpenAI-compatible API requests only), along with fine-tuning knobs under samplingParams (for example temperature, top_p, max_tokens). Leave unset to rely on provider defaults. |
undefined |
model.chatCompression.contextPercentageThreshold |
number | Sets the threshold for chat history compression as a percentage of the model's total token limit. This is a value between 0 and 1 that applies to both automatic compression and the manual /compress command. For example, a value of 0.6 will trigger compression when the chat history exceeds 60% of the token limit. Use 0 to disable compression entirely. |
0.7 |
model.skipNextSpeakerCheck |
boolean | Skip the next speaker check. | false |
model.skipLoopDetection |
boolean | Disables loop detection checks. Loop detection prevents infinite loops in AI responses but can generate false positives that interrupt legitimate workflows. Enable this option if you experience frequent false positive loop detection interruptions. | false |
model.skipStartupContext |
boolean | Skips sending the startup workspace context (environment summary and acknowledgement) at the beginning of each session. Enable this if you prefer to provide context manually or want to save tokens on startup. | false |
model.enableOpenAILogging |
boolean | Enables logging of OpenAI API calls for debugging and analysis. When enabled, API requests and responses are logged to JSON files. | false |
model.openAILoggingDir |
string | Custom directory path for OpenAI API logs. If not specified, defaults to logs/openai in the current working directory. Supports absolute paths, relative paths (resolved from current working directory), and ~ expansion (home directory). |
undefined |
Example model.generationConfig:
{
"model": {
"generationConfig": {
"timeout": 60000,
"contextWindowSize": 128000,
"modalities": {
"image": true
},
"enableCacheControl": true,
"customHeaders": {
"X-Client-Request-ID": "req-123"
},
"extra_body": {
"enable_thinking": true
},
"samplingParams": {
"temperature": 0.2,
"top_p": 0.8,
"max_tokens": 1024
}
}
}
}
max_tokens (adaptive output tokens):
When samplingParams.max_tokens is not set, Qwen Code uses an adaptive output token strategy to optimize GPU resource usage:
- Requests start with a default limit of 8K output tokens
- If the response is truncated (the model hits the limit), Qwen Code automatically retries with 64K tokens
- The partial output is discarded and replaced with the full response from the retry
This is transparent to users — you may briefly see a retry indicator if escalation occurs. Since 99% of responses are under 5K tokens, the retry happens rarely (<1% of requests).
To override this behavior, either set samplingParams.max_tokens in your settings or use the QWEN_CODE_MAX_OUTPUT_TOKENS environment variable.
contextWindowSize:
Overrides the default context window size for the selected model. Qwen Code determines the context window using built-in defaults based on model name matching, with a constant fallback value. Use this setting when a provider's effective context limit differs from Qwen Code's default. This value defines the model's assumed maximum context capacity, not a per-request token limit.
modalities:
Overrides the auto-detected input modalities for the selected model. Qwen Code automatically detects supported modalities (image, PDF, audio, video) based on model name pattern matching. Use this setting when the auto-detection is incorrect — for example, to enable pdf for a model that supports it but isn't recognized. Format: { "image": true, "pdf": true, "audio": true, "video": true }. Omit a key or set it to false for unsupported types.
customHeaders:
Allows you to add custom HTTP headers to all API requests. This is useful for request tracing, monitoring, API gateway routing, or when different models require different headers. If customHeaders is defined in modelProviders[].generationConfig.customHeaders, it will be used directly; otherwise, headers from model.generationConfig.customHeaders will be used. No merging occurs between the two levels.
The extra_body field allows you to add custom parameters to the request body sent to the API. This is useful for provider-specific options that are not covered by the standard configuration fields. Note: This field is only supported for OpenAI-compatible providers (openai, qwen-oauth). It is ignored for Anthropic and Gemini providers. If extra_body is defined in modelProviders[].generationConfig.extra_body, it will be used directly; otherwise, values from model.generationConfig.extra_body will be used.
model.openAILoggingDir examples:
"~/qwen-logs"- Logs to~/qwen-logsdirectory"./custom-logs"- Logs to./custom-logsrelative to current directory"/tmp/openai-logs"- Logs to absolute path/tmp/openai-logs
fastModel
| Setting | Type | Description | Default |
|---|---|---|---|
fastModel |
string | Model used for generating prompt suggestions and speculative execution. Leave empty to use the main model. A smaller/faster model (e.g., qwen3-coder-flash) reduces latency and cost. Can also be set via /model --fast. |
"" |
context
| Setting | Type | Description | Default |
|---|---|---|---|
context.fileName |
string or array of strings | The name of the context file(s). | undefined |
context.importFormat |
string | The format to use when importing memory. | undefined |
context.includeDirectories |
array | Additional directories to include in the workspace context. Specifies an array of additional absolute or relative paths to include in the workspace context. Missing directories will be skipped with a warning by default. Paths can use ~ to refer to the user's home directory. This setting can be combined with the --include-directories command-line flag. |
[] |
context.loadFromIncludeDirectories |
boolean | Controls the behavior of the /memory refresh command. If set to true, QWEN.md files should be loaded from all directories that are added. If set to false, QWEN.md should only be loaded from the current directory. |
false |
context.fileFiltering.respectGitIgnore |
boolean | Respect .gitignore files when searching. | true |
context.fileFiltering.respectQwenIgnore |
boolean | Respect .qwenignore files when searching. | true |
context.fileFiltering.enableRecursiveFileSearch |
boolean | Whether to enable searching recursively for filenames under the current tree when completing @ prefixes in the prompt. |
true |
context.fileFiltering.enableFuzzySearch |
boolean | When true, enables fuzzy search capabilities when searching for files. Set to false to improve performance on projects with a large number of files. |
true |
context.clearContextOnIdle.thinkingThresholdMinutes |
number | Minutes of inactivity before clearing old thinking blocks to free context tokens. Aligns with typical provider prompt-cache TTL. Use -1 to disable. |
5 |
context.clearContextOnIdle.toolResultsThresholdMinutes |
number | Minutes of inactivity before clearing old tool result content. Use -1 to disable. |
60 |
context.clearContextOnIdle.toolResultsNumToKeep |
number | Number of most-recent compactable tool results to preserve when clearing. Floor at 1. | 5 |
Troubleshooting File Search Performance
If you are experiencing performance issues with file searching (e.g., with @ completions), especially in projects with a very large number of files, here are a few things you can try in order of recommendation:
- Use
.qwenignore: Create a.qwenignorefile in your project root to exclude directories that contain a large number of files that you don't need to reference (e.g., build artifacts, logs,node_modules). Reducing the total number of files crawled is the most effective way to improve performance. - Disable Fuzzy Search: If ignoring files is not enough, you can disable fuzzy search by setting
enableFuzzySearchtofalsein yoursettings.jsonfile. This will use a simpler, non-fuzzy matching algorithm, which can be faster. - Disable Recursive File Search: As a last resort, you can disable recursive file search entirely by setting
enableRecursiveFileSearchtofalse. This will be the fastest option as it avoids a recursive crawl of your project. However, it means you will need to type the full path to files when using@completions.
tools
| Setting | Type | Description | Default | Notes |
|---|---|---|---|---|
tools.sandbox |
boolean or string | Sandbox execution environment (can be a boolean or a path string). | undefined |
|
tools.sandboxImage |
string | Sandbox image URI used by Docker/Podman when --sandbox-image and QWEN_SANDBOX_IMAGE are not set. |
undefined |
|
tools.shell.enableInteractiveShell |
boolean | Use node-pty for an interactive shell experience. Fallback to child_process still applies. |
false |
|
tools.core |
array of strings | Deprecated. Will be removed in next version. Use permissions.allow + permissions.deny instead. Restricts built-in tools to an allowlist. All tools not in the list are disabled. |
undefined |
|
tools.exclude |
array of strings | Deprecated. Use permissions.deny instead. Tool names to exclude from discovery. Automatically migrated to the permissions format on first load. |
undefined |
|
tools.allowed |
array of strings | Deprecated. Use permissions.allow instead. Tool names that bypass the confirmation dialog. Automatically migrated to the permissions format on first load. |
undefined |
|
tools.approvalMode |
string | Sets the default approval mode for tool usage. | default |
Possible values: plan (analyze only, do not modify files or execute commands), default (require approval before file edits or shell commands run), auto-edit (automatically approve file edits), yolo (automatically approve all tool calls) |
tools.discoveryCommand |
string | Command to run for tool discovery. | undefined |
|
tools.callCommand |
string | Defines a custom shell command for calling a specific tool that was discovered using tools.discoveryCommand. The shell command must meet the following criteria: It must take function name (exactly as in function declaration) as first command line argument. It must read function arguments as JSON on stdin, analogous to functionCall.args. It must return function output as JSON on stdout, analogous to functionResponse.response.content. |
undefined |
|
tools.useRipgrep |
boolean | Use ripgrep for file content search instead of the fallback implementation. Provides faster search performance. | true |
|
tools.useBuiltinRipgrep |
boolean | Use the bundled ripgrep binary. When set to false, the system-level rg command will be used instead. This setting is only effective when tools.useRipgrep is true. |
true |
|
tools.truncateToolOutputThreshold |
number | Truncate tool output if it is larger than this many characters. Applies to Shell, Grep, Glob, ReadFile and ReadManyFiles tools. | 25000 |
Requires restart: Yes |
tools.truncateToolOutputLines |
number | Maximum lines or entries kept when truncating tool output. Applies to Shell, Grep, Glob, ReadFile and ReadManyFiles tools. | 1000 |
Requires restart: Yes |
Note
Migrating from
tools.core/tools.exclude/tools.allowed: These legacy settings are deprecated and automatically migrated to the newpermissionsformat on first load. Prefer configuringpermissions.allow/permissions.denydirectly. Use/permissionsto manage rules interactively.
memory
| Setting | Type | Description | Default |
|---|---|---|---|
memory.enableManagedAutoMemory |
boolean | Enable background extraction of memories from conversations. | true |
memory.enableManagedAutoDream |
boolean | Enable automatic consolidation (deduplication and cleanup) of collected memories. | false |
See Memory for details on how auto-memory works and how to use the /memory, /remember, and /dream commands.
permissions
The permissions system provides fine-grained control over which tools can run, which require confirmation, and which are blocked.
Decision priority (highest first): deny > ask > allow > (default/interactive mode)
The first matching rule wins. Rules use the format "ToolName" or "ToolName(specifier)".
| Setting | Type | Description | Default |
|---|---|---|---|
permissions.allow |
array of strings | Rules for auto-approved tool calls (no confirmation needed). Merged across all scopes (user + project + system). | undefined |
permissions.ask |
array of strings | Rules for tool calls that always require user confirmation. Takes priority over allow. |
undefined |
permissions.deny |
array of strings | Rules for blocked tool calls. Highest priority — overrides both allow and ask. |
undefined |
Tool name aliases (any of these work in rules):
| Alias | Canonical tool | Notes |
|---|---|---|
Bash, Shell |
run_shell_command |
|
Read, ReadFile |
read_file |
Meta-category — see below |
Edit, EditFile |
edit |
Meta-category — see below |
Write, WriteFile |
write_file |
|
Grep, SearchFiles |
grep_search |
|
Glob, FindFiles |
glob |
|
ListFiles |
list_directory |
|
WebFetch |
web_fetch |
|
Agent |
task |
|
Skill |
skill |
Meta-categories:
Some rule names automatically cover multiple tools:
| Rule name | Tools covered |
|---|---|
Read |
read_file, grep_search, glob, list_directory |
Edit |
edit, write_file |
Important
Read(/path/**)matches all four read tools (file read, grep, glob, and directory listing). To restrict only file reading, useReadFile(/path/**)orread_file(/path/**).
Rule syntax examples:
| Rule | Meaning |
|---|---|
"Bash" |
All shell commands |
"Bash(git *)" |
Shell commands starting with git (word boundary: NOT gitk) |
"Bash(git push *)" |
Shell commands like git push origin main |
"Bash(npm run *)" |
Any npm run script |
"Read" |
All file read operations (read, grep, glob, list) |
"Read(./secrets/**)" |
Read any file under ./secrets/ recursively |
"Edit(/src/**/*.ts)" |
Edit TypeScript files under project root /src/ |
"WebFetch(api.example.com)" |
Fetch from api.example.com and all its subdomains |
"mcp__puppeteer" |
All tools from the puppeteer MCP server |
Path pattern prefixes:
| Prefix | Meaning | Example |
|---|---|---|
// |
Absolute path from filesystem root | //etc/passwd |
~/ |
Relative to home directory | ~/Documents/*.pdf |
/ |
Relative to project root | /src/**/*.ts |
./ |
Relative to current working directory | ./secrets/** |
| (none) | Same as ./ |
secrets/** |
Shell command bypass prevention:
Permission rules for Read, Edit, and WebFetch are also enforced when the agent runs equivalent shell commands. For example, if Read(./.env) is in deny, the agent cannot bypass it via cat .env in a shell command. Supported shell commands include cat, grep, curl, wget, cp, mv, rm, chmod, and many more. Unknown/safe commands (e.g. git) are unaffected by file/network rules.
Migrating from legacy settings:
| Legacy setting | Equivalent permissions rule |
Notes |
|---|---|---|
tools.allowed |
permissions.allow |
Auto-migrated on first load |
tools.exclude |
permissions.deny |
Auto-migrated on first load |
tools.core |
permissions.allow (allowlist) |
Auto-migrated; unlisted tools are disabled at registry level |
Example configuration:
{
"permissions": {
"allow": ["Bash(git *)", "Bash(npm run *)", "Read(//Users/alice/code/**)"],
"ask": ["Bash(git push *)", "Edit"],
"deny": ["Bash(rm -rf *)", "Read(.env)", "WebFetch(malicious.com)"]
}
}
Tip
Use
/permissionsin the interactive CLI to view, add, and remove rules without editingsettings.jsondirectly.
mcp
| Setting | Type | Description | Default |
|---|---|---|---|
mcp.serverCommand |
string | Command to start an MCP server. | undefined |
mcp.allowed |
array of strings | An allowlist of MCP servers to allow. Allows you to specify a list of MCP server names that should be made available to the model. This can be used to restrict the set of MCP servers to connect to. Note that this will be ignored if --allowed-mcp-server-names is set. |
undefined |
mcp.excluded |
array of strings | A denylist of MCP servers to exclude. A server listed in both mcp.excluded and mcp.allowed is excluded. Note that this will be ignored if --allowed-mcp-server-names is set. |
undefined |
Note
Security Note for MCP servers: These settings use simple string matching on MCP server names, which can be modified. If you're a system administrator looking to prevent users from bypassing this, consider configuring the
mcpServersat the system settings level such that the user will not be able to configure any MCP servers of their own. This should not be used as an airtight security mechanism.
lsp
Warning
Experimental Feature: LSP support is currently experimental and disabled by default. Enable it using the
--experimental-lspcommand line flag.
Language Server Protocol (LSP) provides code intelligence features like go-to-definition, find references, and diagnostics.
LSP server configuration is done through .lsp.json files in your project root directory, not through settings.json. See the LSP documentation for configuration details and examples.
security
| Setting | Type | Description | Default |
|---|---|---|---|
security.folderTrust.enabled |
boolean | Setting to track whether Folder trust is enabled. | false |
security.auth.selectedType |
string | The currently selected authentication type. | undefined |
security.auth.enforcedType |
string | The required auth type (useful for enterprises). | undefined |
security.auth.useExternal |
boolean | Whether to use an external authentication flow. | undefined |
advanced
| Setting | Type | Description | Default |
|---|---|---|---|
advanced.autoConfigureMemory |
boolean | Automatically configure Node.js memory limits. | false |
advanced.dnsResolutionOrder |
string | The DNS resolution order. | undefined |
advanced.excludedEnvVars |
array of strings | Environment variables to exclude from project context. Specifies environment variables that should be excluded from being loaded from project .env files. This prevents project-specific environment variables (like DEBUG=true) from interfering with the CLI behavior. Variables from .qwen/.env files are never excluded. |
["DEBUG","DEBUG_MODE"] |
advanced.bugCommand |
object | Configuration for the bug report command. Overrides the default URL for the /bug command. Properties: urlTemplate (string): A URL that can contain {title} and {info} placeholders. Example: "bugCommand": { "urlTemplate": "https://bug.example.com/new?title={title}&info={info}" } |
undefined |
advanced.tavilyApiKey |
string | API key for Tavily web search service. Used to enable the web_search tool functionality. |
undefined |
Note
Note about advanced.tavilyApiKey: This is a legacy configuration format. For Qwen OAuth users, DashScope provider is automatically available without any configuration. For other authentication types, configure Tavily or Google providers using the new
webSearchconfiguration format.
mcpServers
Configures connections to one or more Model-Context Protocol (MCP) servers for discovering and using custom tools. Qwen Code attempts to connect to each configured MCP server to discover available tools. If multiple MCP servers expose a tool with the same name, the tool names will be prefixed with the server alias you defined in the configuration (e.g., serverAlias__actualToolName) to avoid conflicts. Note that the system might strip certain schema properties from MCP tool definitions for compatibility. At least one of command, url, or httpUrl must be provided. If multiple are specified, the order of precedence is httpUrl, then url, then command.
| Property | Type | Description | Optional |
|---|---|---|---|
mcpServers.<SERVER_NAME>.command |
string | The command to execute to start the MCP server via standard I/O. | Yes |
mcpServers.<SERVER_NAME>.args |
array of strings | Arguments to pass to the command. | Yes |
mcpServers.<SERVER_NAME>.env |
object | Environment variables to set for the server process. | Yes |
mcpServers.<SERVER_NAME>.cwd |
string | The working directory in which to start the server. | Yes |
mcpServers.<SERVER_NAME>.url |
string | The URL of an MCP server that uses Server-Sent Events (SSE) for communication. | Yes |
mcpServers.<SERVER_NAME>.httpUrl |
string | The URL of an MCP server that uses streamable HTTP for communication. | Yes |
mcpServers.<SERVER_NAME>.headers |
object | A map of HTTP headers to send with requests to url or httpUrl. |
Yes |
mcpServers.<SERVER_NAME>.timeout |
number | Timeout in milliseconds for requests to this MCP server. | Yes |
mcpServers.<SERVER_NAME>.trust |
boolean | Trust this server and bypass all tool call confirmations. | Yes |
mcpServers.<SERVER_NAME>.description |
string | A brief description of the server, which may be used for display purposes. | Yes |
mcpServers.<SERVER_NAME>.includeTools |
array of strings | List of tool names to include from this MCP server. When specified, only the tools listed here will be available from this server (allowlist behavior). If not specified, all tools from the server are enabled by default. | Yes |
mcpServers.<SERVER_NAME>.excludeTools |
array of strings | List of tool names to exclude from this MCP server. Tools listed here will not be available to the model, even if they are exposed by the server. Note: excludeTools takes precedence over includeTools - if a tool is in both lists, it will be excluded. |
Yes |
telemetry
Configures logging and metrics collection for Qwen Code. For more information, see telemetry.
| Setting | Type | Description | Default |
|---|---|---|---|
telemetry.enabled |
boolean | Whether or not telemetry is enabled. | |
telemetry.target |
string | The destination for collected telemetry. Supported values are local and gcp. |
|
telemetry.otlpEndpoint |
string | The endpoint for the OTLP Exporter. | |
telemetry.otlpProtocol |
string | The protocol for the OTLP Exporter (grpc or http). |
|
telemetry.logPrompts |
boolean | Whether or not to include the content of user prompts in the logs. | |
telemetry.outfile |
string | The file to write telemetry to when target is local. |
|
telemetry.useCollector |
boolean | Whether to use an external OTLP collector. |
Example settings.json
Here is an example of a settings.json file with the nested structure, new as of v0.3.0:
{
"general": {
"vimMode": true,
"preferredEditor": "code"
},
"ui": {
"theme": "GitHub",
"hideTips": false,
"customWittyPhrases": [
"You forget a thousand things every day. Make sure this is one of 'em",
"Connecting to AGI"
]
},
"tools": {
"approvalMode": "yolo",
"sandbox": "docker",
"sandboxImage": "ghcr.io/qwenlm/qwen-code:0.14.1",
"discoveryCommand": "bin/get_tools",
"callCommand": "bin/call_tool",
"exclude": ["write_file"]
},
"mcpServers": {
"mainServer": {
"command": "bin/mcp_server.py"
},
"anotherServer": {
"command": "node",
"args": ["mcp_server.js", "--verbose"]
}
},
"telemetry": {
"enabled": true,
"target": "local",
"otlpEndpoint": "http://localhost:4317",
"logPrompts": true
},
"privacy": {
"usageStatisticsEnabled": true
},
"model": {
"name": "qwen3-coder-plus",
"maxSessionTurns": 10,
"enableOpenAILogging": false,
"openAILoggingDir": "~/qwen-logs",
},
"context": {
"fileName": ["CONTEXT.md", "QWEN.md"],
"includeDirectories": ["path/to/dir1", "~/path/to/dir2", "../path/to/dir3"],
"loadFromIncludeDirectories": true,
"fileFiltering": {
"respectGitIgnore": false
}
},
"advanced": {
"excludedEnvVars": ["DEBUG", "DEBUG_MODE", "NODE_ENV"]
}
}
Shell History
The CLI keeps a history of shell commands you run. To avoid conflicts between different projects, this history is stored in a project-specific directory within your user's home folder.
- Location:
~/.qwen/tmp/<project_hash>/shell_history<project_hash>is a unique identifier generated from your project's root path.- The history is stored in a file named
shell_history.
Environment Variables & .env Files
Environment variables are a common way to configure applications, especially for sensitive information (like tokens) or for settings that might change between environments.
Qwen Code can automatically load environment variables from .env files.
For authentication-related variables (like OPENAI_*) and the recommended .qwen/.env approach, see Authentication.
Tip
Environment Variable Exclusion: Some environment variables (like
DEBUGandDEBUG_MODE) are automatically excluded from project.envfiles by default to prevent interference with the CLI behavior. Variables from.qwen/.envfiles are never excluded. You can customize this behavior using theadvanced.excludedEnvVarssetting in yoursettings.jsonfile.
Environment Variables Table
| Variable | Description | Notes |
|---|---|---|
QWEN_TELEMETRY_ENABLED |
Set to true or 1 to enable telemetry. Any other value is treated as disabling it. |
Overrides the telemetry.enabled setting. |
QWEN_TELEMETRY_TARGET |
Sets the telemetry target (local or gcp). |
Overrides the telemetry.target setting. |
QWEN_TELEMETRY_OTLP_ENDPOINT |
Sets the OTLP endpoint for telemetry. | Overrides the telemetry.otlpEndpoint setting. |
QWEN_TELEMETRY_OTLP_PROTOCOL |
Sets the OTLP protocol (grpc or http). |
Overrides the telemetry.otlpProtocol setting. |
QWEN_TELEMETRY_LOG_PROMPTS |
Set to true or 1 to enable or disable logging of user prompts. Any other value is treated as disabling it. |
Overrides the telemetry.logPrompts setting. |
QWEN_TELEMETRY_OUTFILE |
Sets the file path to write telemetry to when the target is local. |
Overrides the telemetry.outfile setting. |
QWEN_TELEMETRY_USE_COLLECTOR |
Set to true or 1 to enable or disable using an external OTLP collector. Any other value is treated as disabling it. |
Overrides the telemetry.useCollector setting. |
QWEN_SANDBOX |
Alternative to the sandbox setting in settings.json. |
Accepts true, false, docker, podman, or a custom command string. |
QWEN_SANDBOX_IMAGE |
Overrides sandbox image selection for Docker/Podman. | Takes precedence over tools.sandboxImage. |
SEATBELT_PROFILE |
(macOS specific) Switches the Seatbelt (sandbox-exec) profile on macOS. |
permissive-open: (Default) Restricts writes to the project folder (and a few other folders, see packages/cli/src/utils/sandbox-macos-permissive-open.sb) but allows other operations. strict: Uses a strict profile that declines operations by default. <profile_name>: Uses a custom profile. To define a custom profile, create a file named sandbox-macos-<profile_name>.sb in your project's .qwen/ directory (e.g., my-project/.qwen/sandbox-macos-custom.sb). |
DEBUG or DEBUG_MODE |
(often used by underlying libraries or the CLI itself) Set to true or 1 to enable verbose debug logging, which can be helpful for troubleshooting. |
Note: These variables are automatically excluded from project .env files by default to prevent interference with the CLI behavior. Use .qwen/.env files if you need to set these for Qwen Code specifically. |
NO_COLOR |
Set to any value to disable all color output in the CLI. | |
CLI_TITLE |
Set to a string to customize the title of the CLI. | |
CODE_ASSIST_ENDPOINT |
Specifies the endpoint for the code assist server. | This is useful for development and testing. |
QWEN_CODE_MAX_OUTPUT_TOKENS |
Overrides the default maximum output tokens per response. When not set, Qwen Code uses an adaptive strategy: starts with 8K tokens and automatically retries with 64K if the response is truncated. Set this to a specific value (e.g., 16000) to use a fixed limit instead. |
Takes precedence over the capped default (8K) but is overridden by samplingParams.max_tokens in settings. Disables automatic escalation when set. Example: export QWEN_CODE_MAX_OUTPUT_TOKENS=16000 |
TAVILY_API_KEY |
Your API key for the Tavily web search service. | Used to enable the web_search tool functionality. Example: export TAVILY_API_KEY="tvly-your-api-key-here" |
QWEN_CODE_PROFILE_STARTUP |
Set to 1 to enable startup performance profiling. Writes a JSON timing report to ~/.qwen/startup-perf/ with per-phase durations. |
Only active inside the sandbox child process. Zero overhead when not set. Example: export QWEN_CODE_PROFILE_STARTUP=1 |
Command-Line Arguments
Arguments passed directly when running the CLI can override other configurations for that specific session.
For sandbox image selection, precedence is:
--sandbox-image > QWEN_SANDBOX_IMAGE > tools.sandboxImage > built-in default image.
Command-Line Arguments Table
| Argument | Alias | Description | Possible Values | Notes |
|---|---|---|---|---|
--model |
-m |
Specifies the Qwen model to use for this session. | Model name | Example: npm start -- --model qwen3-coder-plus |
--prompt |
-p |
Used to pass a prompt directly to the command. This invokes Qwen Code in a non-interactive mode. | Your prompt text | For scripting examples, use the --output-format json flag to get structured output. |
--prompt-interactive |
-i |
Starts an interactive session with the provided prompt as the initial input. | Your prompt text | The prompt is processed within the interactive session, not before it. Cannot be used when piping input from stdin. Example: qwen -i "explain this code" |
--system-prompt |
Overrides the built-in main session system prompt for this run. | Your prompt text | Loaded context files such as QWEN.md are still appended after this override. Can be combined with --append-system-prompt. |
|
--append-system-prompt |
Appends extra instructions to the main session system prompt for this run. | Your prompt text | Applied after the built-in prompt and loaded context files. Can be combined with --system-prompt. See Headless Mode for examples. |
|
--output-format |
-o |
Specifies the format of the CLI output for non-interactive mode. | text, json, stream-json |
text: (Default) The standard human-readable output. json: A machine-readable JSON output emitted at the end of execution. stream-json: Streaming JSON messages emitted as they occur during execution. For structured output and scripting, use the --output-format json or --output-format stream-json flag. See Headless Mode for detailed information. |
--input-format |
Specifies the format consumed from standard input. | text, stream-json |
text: (Default) Standard text input from stdin or command-line arguments. stream-json: JSON message protocol via stdin for bidirectional communication. Requirement: --input-format stream-json requires --output-format stream-json to be set. When using stream-json, stdin is reserved for protocol messages. See Headless Mode for detailed information. |
|
--include-partial-messages |
Include partial assistant messages when using stream-json output format. When enabled, emits stream events (message_start, content_block_delta, etc.) as they occur during streaming. |
Default: false. Requirement: Requires --output-format stream-json to be set. See Headless Mode for detailed information about stream events. |
||
--sandbox |
-s |
Enables sandbox mode for this session. | ||
--sandbox-image |
Sets the sandbox image URI. | |||
--debug |
-d |
Enables debug mode for this session, providing more verbose output. | ||
--all-files |
-a |
If set, recursively includes all files within the current directory as context for the prompt. | ||
--help |
-h |
Displays help information about command-line arguments. | ||
--show-memory-usage |
Displays the current memory usage. | |||
--yolo |
Enables YOLO mode, which automatically approves all tool calls. | |||
--approval-mode |
Sets the approval mode for tool calls. | plan, default, auto-edit, yolo |
Supported modes: plan: Analyze only—do not modify files or execute commands. default: Require approval for file edits or shell commands (default behavior). auto-edit: Automatically approve edit tools (edit, write_file) while prompting for others. yolo: Automatically approve all tool calls (equivalent to --yolo). Cannot be used together with --yolo. Use --approval-mode=yolo instead of --yolo for the new unified approach. Example: qwen --approval-mode auto-editSee more about Approval Mode. |
|
--allowed-tools |
A comma-separated list of tool names that will bypass the confirmation dialog. | Tool names | Example: qwen --allowed-tools "Shell(git status)" |
|
--telemetry |
Enables telemetry. | |||
--telemetry-target |
Sets the telemetry target. | See telemetry for more information. | ||
--telemetry-otlp-endpoint |
Sets the OTLP endpoint for telemetry. | See telemetry for more information. | ||
--telemetry-otlp-protocol |
Sets the OTLP protocol for telemetry (grpc or http). |
Defaults to grpc. See telemetry for more information. |
||
--telemetry-log-prompts |
Enables logging of prompts for telemetry. | See telemetry for more information. | ||
--checkpointing |
Enables checkpointing. | |||
--acp |
Enables ACP mode (Agent Client Protocol). Useful for IDE/editor integrations like Zed. | Stable. Replaces the deprecated --experimental-acp flag. |
||
--experimental-lsp |
Enables experimental LSP (Language Server Protocol) feature for code intelligence (go-to-definition, find references, diagnostics, etc.). | Experimental. Requires language servers to be installed. | ||
--extensions |
-e |
Specifies a list of extensions to use for the session. | Extension names | If not provided, all available extensions are used. Use the special term qwen -e none to disable all extensions. Example: qwen -e my-extension -e my-other-extension |
--list-extensions |
-l |
Lists all available extensions and exits. | ||
--proxy |
Sets the proxy for the CLI. | Proxy URL | Example: --proxy http://localhost:7890. |
|
--include-directories |
Includes additional directories in the workspace for multi-directory support. | Directory paths | Can be specified multiple times or as comma-separated values. 5 directories can be added at maximum. Example: --include-directories /path/to/project1,/path/to/project2 or --include-directories /path/to/project1 --include-directories /path/to/project2 |
|
--screen-reader |
Enables screen reader mode, which adjusts the TUI for better compatibility with screen readers. | |||
--version |
Displays the version of the CLI. | |||
--openai-logging |
Enables logging of OpenAI API calls for debugging and analysis. | This flag overrides the enableOpenAILogging setting in settings.json. |
||
--openai-logging-dir |
Sets a custom directory path for OpenAI API logs. | Directory path | This flag overrides the openAILoggingDir setting in settings.json. Supports absolute paths, relative paths, and ~ expansion. Example: qwen --openai-logging-dir "~/qwen-logs" --openai-logging |
|
--tavily-api-key |
Sets the Tavily API key for web search functionality for this session. | API key | Example: qwen --tavily-api-key tvly-your-api-key-here |
Context Files (Hierarchical Instructional Context)
While not strictly configuration for the CLI's behavior, context files (defaulting to QWEN.md but configurable via the context.fileName setting) are crucial for configuring the instructional context (also referred to as "memory"). This powerful feature allows you to give project-specific instructions, coding style guides, or any relevant background information to the AI, making its responses more tailored and accurate to your needs. The CLI includes UI elements, such as an indicator in the footer showing the number of loaded context files, to keep you informed about the active context.
- Purpose: These Markdown files contain instructions, guidelines, or context that you want the Qwen model to be aware of during your interactions. The system is designed to manage this instructional context hierarchically.
Example Context File Content (e.g. QWEN.md)
Here's a conceptual example of what a context file at the root of a TypeScript project might contain:
# Project: My Awesome TypeScript Library
## General Instructions:
- When generating new TypeScript code, please follow the existing coding style.
- Ensure all new functions and classes have JSDoc comments.
- Prefer functional programming paradigms where appropriate.
- All code should be compatible with TypeScript 5.0 and Node.js 20+.
## Coding Style:
- Use 2 spaces for indentation.
- Interface names should be prefixed with `I` (e.g., `IUserService`).
- Private class members should be prefixed with an underscore (`_`).
- Always use strict equality (`===` and `!==`).
## Specific Component: `src/api/client.ts`
- This file handles all outbound API requests.
- When adding new API call functions, ensure they include robust error handling and logging.
- Use the existing `fetchWithRetry` utility for all GET requests.
## Regarding Dependencies:
- Avoid introducing new external dependencies unless absolutely necessary.
- If a new dependency is required, please state the reason.
This example demonstrates how you can provide general project context, specific coding conventions, and even notes about particular files or components. The more relevant and precise your context files are, the better the AI can assist you. Project-specific context files are highly encouraged to establish conventions and context.
- Hierarchical Loading and Precedence: The CLI implements a hierarchical memory system by loading context files (e.g.,
QWEN.md) from several locations. Content from files lower in this list (more specific) typically overrides or supplements content from files higher up (more general). The exact concatenation order and final context can be inspected using the/memory showcommand. The typical loading order is:- Global Context File:
- Location:
~/.qwen/<configured-context-filename>(e.g.,~/.qwen/QWEN.mdin your user home directory). - Scope: Provides default instructions for all your projects.
- Location:
- Project Root & Ancestors Context Files:
- Location: The CLI searches for the configured context file in the current working directory and then in each parent directory up to either the project root (identified by a
.gitfolder) or your home directory. - Scope: Provides context relevant to the entire project or a significant portion of it.
- Location: The CLI searches for the configured context file in the current working directory and then in each parent directory up to either the project root (identified by a
- Global Context File:
- Concatenation & UI Indication: The contents of all found context files are concatenated (with separators indicating their origin and path) and provided as part of the system prompt. The CLI footer displays the count of loaded context files, giving you a quick visual cue about the active instructional context.
- Importing Content: You can modularize your context files by importing other Markdown files using the
@path/to/file.mdsyntax. For more details, see the Memory Import Processor documentation. - Commands for Memory Management:
- Use
/memory refreshto force a re-scan and reload of all context files from all configured locations. This updates the AI's instructional context. - Use
/memory showto display the combined instructional context currently loaded, allowing you to verify the hierarchy and content being used by the AI. - See the Commands documentation for full details on the
/memorycommand and its sub-commands (showandrefresh).
- Use
By understanding and utilizing these configuration layers and the hierarchical nature of context files, you can effectively manage the AI's memory and tailor Qwen Code's responses to your specific needs and projects.
Sandbox
Qwen Code can execute potentially unsafe operations (like shell commands and file modifications) within a sandboxed environment to protect your system.
Sandbox is disabled by default, but you can enable it in a few ways:
- Using
--sandboxor-sflag. - Setting
QWEN_SANDBOXenvironment variable. - Sandbox is enabled when using
--yoloor--approval-mode=yoloby default.
By default, it uses a pre-built qwen-code-sandbox Docker image.
For project-specific sandboxing needs, you can create a custom Dockerfile at .qwen/sandbox.Dockerfile in your project's root directory. This Dockerfile can be based on the base sandbox image:
FROM qwen-code-sandbox
# Add your custom dependencies or configurations here
# For example:
# RUN apt-get update && apt-get install -y some-package
# COPY ./my-config /app/my-config
When .qwen/sandbox.Dockerfile exists, you can use BUILD_SANDBOX environment variable when running Qwen Code to automatically build the custom sandbox image:
BUILD_SANDBOX=1 qwen -s
Usage Statistics
To help us improve Qwen Code, we collect anonymized usage statistics. This data helps us understand how the CLI is used, identify common issues, and prioritize new features.
What we collect:
- Tool Calls: We log the names of the tools that are called, whether they succeed or fail, and how long they take to execute. We do not collect the arguments passed to the tools or any data returned by them.
- API Requests: We log the model used for each request, the duration of the request, and whether it was successful. We do not collect the content of the prompts or responses.
- Session Information: We collect information about the configuration of the CLI, such as the enabled tools and the approval mode.
What we DON'T collect:
- Personally Identifiable Information (PII): We do not collect any personal information, such as your name, email address, or API keys.
- Prompt and Response Content: We do not log the content of your prompts or the responses from the model.
- File Content: We do not log the content of any files that are read or written by the CLI.
How to opt out:
You can opt out of usage statistics collection at any time by setting the usageStatisticsEnabled property to false under the privacy category in your settings.json file:
{
"privacy": {
"usageStatisticsEnabled": false
}
}
Note
When usage statistics are enabled, events are sent to an Alibaba Cloud RUM collection endpoint.